{"paper_id":"2b719725-c47c-4c6c-a718-e019a83935e8","body_text":"Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data - the OncoAppstore case | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data - the OncoAppstore case Liza Deursen, A. M. Korte, R. Vaart, J. J. Aardoom, M. Stouten, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7082271/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 17 Oct, 2025 Read the published version in Supportive Care in Cancer → Version 1 posted 9 You are reading this latest preprint version Abstract Purpose: Digital self-management interventions can aid cancer survivors with their psychosocial, emotional, physical, and lifestyle support needs, but usage is relatively low due to lack of awareness and reimbursement. Additionally, there are concerns about e-health exacerbating existing health disparities. To enhance the uptake of digital self-management interventions, the OncoAppstore is a landing page on a well-known Dutch platform that provides cancer survivors with credit to purchase these interventions. It is unknown to what extent the nature of the OncoAppstore will influence uptake and appeal to a diverse group of cancer survivors. The current study therefore aimed to explore sociodemographic, clinical, income, and healthcare usage factors associated with its early uptake among survivors. Methods: OncoAppstore usage data were combined with nationwide registry data from Statistics Netherlands, the Netherlands Cancer Registry and Dutch Hospital Data. Data were analyzed descriptively, and differences between OncoAppstore users and the general population of cancer survivors (GenPop) were statistically tested using Chi-square tests, Fisher’s exact tests, and Mann-Whitney U tests. Results: OncoAppstore users tended to have higher educational levels and incomes, were more likely to be female, younger on average, and more often of Dutch origin compared to GenPop. Users had higher primary and specialist mental healthcare expenditures and lower expenditures on total healthcare, general practitioner, hospital, and pharmaceutical care. Conclusion: The early users of the OncoAppstore appear to be a selective group of cancer survivors as they are primarily individuals with high socioeconomic status. Thus, consistent with other e-health research, the same user patterns are observed. Future research should investigate whether this trend persists after a longer period and what is needed to better reach underrepresented groups. e-health cancer self-management uptake health disparities survivorship Introduction As cancer survival rates continue to rise, the number of individuals living with the long-term effects of cancer disease and treatment, such as fatigue, fear, depression, cognitive issues, and neuropathy, is also increasing 1 , 2 . Consequently, there is a growing need for psychosocial, emotional, physical, and lifestyle support. While some support is available, it is often constraint by factors like specialist availability, financial resources, and facilities. Previous studies have shown that a large group of cancer survivors (i.e., those living with cancer from the time of diagnosis until the end of their life 3 ) do not receive the needed support and had unmet healthcare needs 4 – 6 . An efficient and effective manner to provide psychosocial or lifestyle support and to help survivors with their (disease and treatment-related) needs is through digital self-management interventions. Many effective digital self-management interventions have been developed, such as interventions to monitor health-related quality of life or provide psychosocial, physical, emotional, and lifestyle support for cancer survivors 7 – 10 . Digital self-management interventions have been proven effective in improving a range of health outcomes, including symptom burden, pain complaints, lifestyle, psychological adjustment, and overall quality of life, as well as reducing side effects of the disease and treatment such as cancer-related anxiety, fatigue, or depressive symptoms 5 , 7 , 11 – 14 . Despite the potential benefits of digital self-management interventions, multiple challenges to their uptake exist. First, many cancer survivors are unaware of their existence and proven benefits. Second, there is a general reluctance among cancer survivors to invest in these digital tools, and third, lack of reimbursement for these interventions remains a hurdle 15 , 16 . Finally, some survivors perceive them as being inferior to in-person support from healthcare providers 16 . Likely influenced by these challenges, only a small part of cancer survivors have used digital self-management interventions 16 . Furthermore, there are large differences in e-health usages among different groups of users. For example, women are more likely to search for health information online and to use mobile applications 17 – 28 . Other research suggests that higher age, lower income, lower education, living alone, and residing in rural areas (i.e., with less healthcare in proximity) are associated with lower e-health use, while findings on e-health usage among racial and ethnic groups remain mixed 17–26,29−33 . Multiple scholars expressed their concerns about digital interventions exacerbating health disparities, primarily benefiting individuals with more resources 17 – 24 , 30 . In July 2023, the OncoAppstore has been launched in the Netherlands to enhance the uptake of digital self-management interventions among cancer survivors and their relatives. The OncoAppstore is a landing page on ‘Kanker.nl’ (in English: Cancer.nl) -a well-known platform in the Netherlands- and serves as a central hub that provides evidence-based digital self-management interventions 34 . The platform’s primary aim is to enhance and simplify access to evidence-based self-management interventions for cancer survivors 35 . Users of the OncoAppstore are provided with a temporary personal digital health credit of 100 euros, eliminating financial barriers. This credit allows them to access a curated selection of high-quality digital interventions available on the platform. It is unknown to what extent the nature of the OncoAppstore—being offered on a well-known platform with a selection of high-quality interventions and providing a digital health credit—will influence uptake among cancer survivors and appeal to a diverse group of survivors. It could be the case, for example, that individuals with lower income will make more use of digital self-management interventions once the financial barrier is removed, or that females will use it more as they are more likely to search for health information online and to use apps 17 – 28 . Therefore, this exploratory study aims to examine the early uptake of the OncoAppstore and to explore sociodemographic, clinical, income, and healthcare usage factors associated with its uptake among cancer survivors, by comparing users of the OncoAppstore with the general population of cancer survivors (GenPop). Method Study setting The OncoAppstore is an initiative of three Dutch cancer-related organizations: The Netherlands Comprehensive Cancer Organization (Dutch abbreviation: IKNL), the online platform 'Kanker.nl', and the Cancer Society (Dutch abbreviation: KWF) 36 . IKNL is the quality institute for oncological and palliative research and practice in the Netherlands 37 . ’Kanker.nl’ is a well-known platform among cancer survivors and healthcare professionals with over 1,000,000 visits per month 38 . It provides information and support and is a forum for cancer survivors and their relatives 39 . KWF is an organization that aims to facilitate cancer research, influence policy, and share knowledge 40 . KWF temporary provides the digital health credit to OncoAppstore users; a doctor or practitioner referral is not required. Those interested in using the OncoAppstore must create a personal account on Kanker.nl. Once registered, they can claim the digital health credit to purchase interventions 41 . IKNL, Kanker.nl, and the Dutch Public Health Service (Dutch abbreviation: GGD GHOR) have tested all interventions offered in the OncoAppstore for usability, reliability, scientific foundation, and privacy protection. The testing was carried out using the GGD test method for digital applications 42 . The OncoAppstore offers various interventions to support individuals with challenges caused by the disease and its treatment. These include a decision-making aid for those considering (additional) treatment options, mental health support for those dealing with issues such as depression, low self-esteem, and fear of recurrence, as well as interventions to help improve physical health 34 . KWF, IKNL, Kanker.nl, and the organizations behind the interventions promote the OncoAppstore through social media campaigns and digital newsletters. Information is available on the websites of several cancer patient organizations and hospitals; and promotional material is being distributed via the waiting rooms of general practitioners in several municipalities within the Netherlands. This contributes to the awareness of digital self-management interventions among cancer survivors. Furthermore, presentations and other events for healthcare professionals are being held. Study design, data sources and study measures This study is part of the broader OncoAppstore research, which investigates the OncoAppstore and consists of multiple studies. The methods and related studies can be found in a protocol paper 43 . The study was submitted and exempt from review by the Medical Research Ethics Committee Brabant (NW2022-42), as this study is not subject to the Dutch Medical Research Involving Human Subject Act. The current exploratory observational study combines data from three different sources into a single dataset. The first data source is IKNL. Individuals interested in using the digital health credit on the national online cancer platform Kanker.nl were invited to voluntarily participate in scientific research. Those who agreed received an information letter and informed consent form from IKNL. By digitally signing the consent form, participants also consented to their data being linked with data from Statistics Netherlands (SN, Dutch abbreviation: CBS) and the Netherlands Cancer Registry (NCR, Dutch abbreviation: NKR) in compliance with the European General Data Protection Regulation 44 . IKNKL provided information about which cancer survivors have used the OncoAppstore (i.e., those who have purchased at least one intervention and provided informed consent) between July 2023 and October 2024. Data on cancer diagnosis and year of diagnosis for OncoAppstore users were obtained from the NCR, which is managed by IKNL 45 – 47 . The second data source was the National Basic Hospital Care Register data obtained from Dutch Hospital Data (DHD), which contains information on cancer diagnoses. DHD is an organization that collects, manages, and edits hospital data 47 , 48 . The National Basic Hospital Care Register contains information on hospital admissions and associated diagnoses in Dutch hospitals of individuals registered in the Dutch Personal Records Database (BRP) based on ICD10 codes 47 . The study used Dutch Hospital Data from 2018 to 2022 (the most recent year of which data were available) to include all individuals admitted to the hospital at least once with a cancer diagnosis (ICD10 codes C00 – C97, excluding C44) 45 to be able to compare OncoAppstore users with the general population of cancer survivors. The year of diagnosis was determined based on the first-time individuals were admitted to the hospital for a cancer diagnosis. The year of diagnosis and type of cancer for survivors of the GenPop diagnosed before 2018 or after 2022 could not be determined as no data was available. Individuals who were deceased before the launch of the OncoAppstore (July 2023) were filtered out and excluded from the analyses. The third data source was the System of Social Statistical Datasets (SSD) from SN 49 , 50 , which provides data on socio-demographics, income, healthcare usage, and care proximity. The SSD is a standardized system of interlinked registers and surveys that contains information on persons, households, jobs, benefits, education, hospitalizations, and more 50 . Researchers can access these data via remote access, granted under strict privacy-securing conditions 50 . The OncoAppstore usage data of IKNL, the NCR data and the DHD were uploaded to the remote access environment of SN and linked to the SN data. SN replaced all personal identifiers from all data sources with an anonymous key called a PIN (personal identification number) to link the data before sharing it with researchers to protect the privacy of individuals and prevent direct identification 50 . Also, the output of the researchers is checked by SN to ensure the privacy and anonymity of participants. The variables used from SN are described below. Sociodemographic and income-related characteristics The sociodemographic, and income-related data included gender (male or female), age (in years), level of education, country of origin, income, benefits, and debts. These variables were included in the analysis because differences between OncoAppstore users and the GenPop were expected based on these characteristics. Research has shown that individuals with a low socioeconomic status, a migrant background or older age often experience greater difficulties in independently searching for, accessing, understanding, and utilizing e-health interventions. Also, women are more likely to search for health information online and to use mobile applications 17 – 28 . Results on the influence of ethnicity are mixed 29 , 33 . Education level was classified as high, middle, and low, according to SN’s categorization 51 . Country of origin was categorized into three groups: 1) Netherlands; 2) Europe (excluding the Netherlands); and 3) Outside of Europe 52 . The income of individuals was based on standardized household income compared with other households, excluding those of students. The study classified household incomes into three income classes: low income (percentile 0 to 40), middle income (percentile 40 to 80), and high income (percentile 80 to 100) based on the classification of SN. Also, an analysis was conducted to determine whether individuals aged 66 years or younger received benefits (i.e., unemployment benefits, disability benefits, social assistance benefits, or other social security benefits). Only individuals under the age of 67 were included, as everyone in the Netherlands receives public pension benefits starting at the age of 67. Individual debts were assessed by checking whether individuals were in debt restructuring, were health insurance defaulters or both. Individuals who received a debt rescheduling order under the Natural Persons Debt Rescheduling Act 34 were considered to be in debt restructuring 53 . Health insurance defaulters were adults registered in the BRP who were obliged to take out insurance under the Healthcare Insurance Act but had not paid a premium for their primary insurance for at least six months and were subject to the administrative law premium regime. Medical care expenditures and reception of additional care In the analysis, data on healthcare expenditures and the usage of additional care were included, as these factors are closely related to health status and can be linked to the likelihood of using e-health interventions. Research indicates that individuals with greater health needs are more likely to use health information technology, and those with poorer health tend to search for health information online more frequently than their healthier peers 17 , 54 , 55 . Since healthcare expenditures and the usage of additional care can serve as proxies for health status, these variables provide valuable insights into the potential differences between OncoAppstore users and the GenPop. The total healthcare expenditures of individuals were analyzed, together with different categories of healthcare expenditures, including general practitioners' care, hospital care, paramedical care, primary and specialist mental healthcare, and pharmaceutical expenditures. These expenses were calculated for the year prior to the year of diagnosis of an individual. For example, if an individual was diagnosed with cancer in 2021, the expenses for the year 2020 were calculated. However, this analysis could not be conducted for survivors of the GenPop diagnosed before 2018 or after 2022, as data on the year of diagnosis were unavailable beyond this point. As a result, comparisons between users and the GenPop were limited to those diagnosed between 2018 and 2022. The differences in healthcare expenditures between years were corrected for inflation based on Consumer Price Indexes 56 . In addition, it was analyzed whether individuals received care under the Social Support Act (in Dutch: WMO), which is care provided by municipalities responsible for assisting people who cannot independently arrange the care and support they need 57 . The Social Support Act aims to help people live at home for as long as possible. Furthermore, we analyzed whether individuals received care under the Long-Term Care Act (in Dutch: WLZ) 58 . The Long-term Care Act regulates heavy, intensive care for vulnerable older adults, people with disabilities, and people with mental illness 58 . Proximity of care Proximity of care was included in the analysis, as individuals in rural areas tend to use e-health less frequently, and healthcare proximity is closely linked to the rurality of their residence 31 , 32 . To determine healthcare proximity, the distance between a person's home address and the nearest general practitioner and hospital was measured. The average number of general practitioners and hospitals within a five-kilometer radius of their homes was also calculated. Table 1 provides a summary of the study measures from the three different data sources. Table 1 Summary of study measures from the different data sources Source* Category Measures Year of data included IKNL OncoAppstore (OS) usage OS user 2023–2024 IKNL (NCR) Clinical data of OS users Year of diagnosis and cancer type 2018–2024 DHD Clinical data of the general population of cancer survivors Year of diagnosis, cancer type 2018–2022 SN Sociodemographic characteristics Gender, age, level of education, country of origin n.a. SN Income, benefits, and debts Standardized household income, benefits, debts (i.e. restructuring and/or health insurance defaulters) 2023 SN Healthcare expenditures Total healthcare expenditures, expenditures for general practitioners' (GP) care, hospital care, paramedical care, primary and specialist mental healthcare, and pharmacy 2017–2021 (year prior to year of diagnosis was used) SN Additional care reception Care under the Social Support Act, Care under the Long-term Care Act 2023 SN Proximity of care Distance between home address and the nearest GP and hospital, number of GPs and hospitals within a five-kilometer radius of home 2022 *IKNL: The Netherlands Comprehensive Cancer Organization; NCR: Netherlands Cancer Registry; DHD: National Basic Hospital Care Register data provided by Dutch Hospital Data (DHD); SN: Statistics Netherlands. Statistical analysis First, all data were linked using R statistical software (version 4.2.3). Statistical analyses were then performed using SPSS (version 25) 59 . Descriptive analyses were performed to examine the distribution of variables for both OncoAppstore users and the GenPop. Statistical analyses were then conducted to determine whether any differences in the variables between the two groups, as outlined in Table 2 , were statistically significant. Mann-Whitney U tests were conducted to assess the association between OncoAppstore usage and the continuous variables. Chi-square tests were conducted to investigate whether the categorical variables were differently distributed between OncoAppstore users and the GenPop. In one case (i.e., the ‘debts’ variable) where less than 80% of expected frequencies were greater than 5 (violating an assumption of the Chi-square test), a Fisher’s exact test was conducted. For the three variables that had three categories or more with significant differences between OncoAppstore users and the GenPop, additional tests were performed to assess in which of the categories the difference existed. This was done for the variables ‘educational level’, ‘income’, and ‘year of diagnose’. To this end, a dummy variable was created for every category that indicated whether a person belonged to that particular category or not (e.g. highly educated or not). For every dummy variable, a Chi-square test was conducted to test whether the dummy category was associated with OncoAppstore usage. This indicates whether, for example, the percentage of highly educated OncoAppstore users differs significantly from the percentage of highly educated of the GenPop. Results Study characteristics In total, 368 individuals who used the OncoAppstore gave permission for their data to be used anonymously for scientific research. Twenty-eight cases could not be linked, likely due to typographical errors in the linking information, such as date of birth and changes in postal code over the years. Additionally, 29 users were excluded for not meeting the inclusion criteria; they were either diagnosed before 2018 (n = 18) or had a cancer type outside the specified range of ICD-10 codes (n = 11). This resulted in 307 users who were compared to the 261.377 GenPop that met the inclusion criteria. The most common cancer types were breast (53.8% in the user group and 21.6% in the non-user group), digestive system (10.8% and 20.6%), lymphoid hematopoietic and related tissue (7.5% and 8.4%), male genital tract (7.2% and 11.9%), female genital tract (6.6% and 6.1%), respiratory system and intrathoracic organs (5.2% and 7.2%), and kidney and urinary tract (3.3% and 9.1%). Of the 307 OncoAppstore users, 121 were diagnosed in 2023 and 46 in 2024. The distribution of diagnosis years from 2018 to 2022 is shown in Table 2 , along with other user characteristics. Data for 2023 and 2024 are not included in Table 2 , as no general population data were available for these years. The results of the statistical analyses are presented in Tables 2 – 4 and further detailed below. Table 2 Study characteristics and results of the analyses of the sociodemographic variables and year of diagnosis (N = 261.684) OS users (N = 307) General population of cancer survivors (GenPop) (N = 261.377) p-value 1 Missing (OS users / Dutch population CS) (n (%)) Age 56.5 (10.5) 68.3 (13.3) < .001*** 0 (0%) / 0 (0%) Gender < .001*** 0 (0%) / 0 (0%) Male 64 (20.8%) 120,114 (46.0%) Female 243 (79.2%) 141,263 (54.0%) Educational level < .001*** 82 (26.7%) / 104.471 (40.0%) Low < 10 (< 4.4%) 2 33,908 (30.3%) < .001*** Middle > 68 (> 30.3%) 2 43,495 (38.9%) .012** High 147 (65.3%) 34,503 (30.8%) < .001*** Country of origin .002** 0 (0%) / 0 (0%) The Netherlands 280 (91.2%) 218,896 (83.7%) < .001*** Europe (excl. the Netherlands) 13 (4.2%) 17,022 (6.5%) .106 Outside Europe 14 (4.6%) 25,459 (9.7%) .002** Year of diagnosis 3 < .001*** 0 (0.0%) / 0 (0%) 2018 18 (12.9%) 49,145 (18.8%) .072 2019 17 (12.1%) 50,268 (19.2%) .033* 2020 16 (11.4%) 48,295 (18.5%) .032* 2021 31 (22.1%) 55,159 (21.1%) .763 2022 58 (41.4%) 58,510 (22.4%) < .001*** Continuous variables presented as mean with standard deviation, and categorical variables presented as counts with percentages. OS: OncoAppstore. CS: cancer survivors. Significance levels: ***p < .001, **p < .01, p < .05. 1 P-values in rows of category names indicate overall significance of the variable. P-values in rows of different categories indicate significance of a category compared to all other categories. P-values for categorical variables are based on Chi-square tests and Fisher’s exact tests (see Method, section Statistical analysis). P-values for continuous variables are based on Mann-Whitney-U tests. 2 All values smaller than 10 and the corresponding percentages, together with the value and percentage of another category (i.e. ‘Middle’) are reported this way in accordance with SN guidelines to prevent disclosure risk. 3 As there were no data available for the GenPop for 2023 and 2024, these years were excluded from the statistical analysis. When considering sociodemographic and clinical variables (Table 2 ), OncoAppstore users were significantly younger compared to the GenPop (M = 56.5, SD = 10.5 vs. M = 68.3, SD = 13.3, p < .001). Additionally, gender was significantly associated with OncoAppstore usage (p < .001). The user group consisted of more females than the GenPop (79.2% vs. 54.0%). Also, there was a significant association between educational level and OncoAppstore usage (p < .001). There were significantly more individuals with a ‘High’ and significantly fewer individuals with a ‘Middle’ or ‘Low’ educational level in the user group compared to the GenPop (p < .001; p = .012; p < .001 resp.). There was also a significant influence of country of origin on OncoAppstore usage (p = .002), with users more frequently originating from the Netherlands (p < .001) and less frequently from outside Europe (p = .002) compared to the GenPop. Furthermore, the year of diagnosis was significantly associated with OncoAppstore usage (p < .001). OncoAppstore users were less often diagnosed in 2019 and 2020 and more often in 2022 than the GenPop (p = .033, p = .032, and p < .001 resp.). Table 3. Study characteristics and results of the analyses of the income-related variables (N = 261.684) Categorical variables presented as counts with percentages. OS: OncoAppstore. CS: cancer survivors. Significance levels: ***p < .001, **p < .01, p < .05. 1 P-values in rows of category names indicate overall significance of the variable. P-values in rows of different categories indicate significance of a category compared to all other categories. P-values for categorical variables are based on Chi-square tests and Fisher’s exact tests (see Method, section Statistical analysis). 2 Benefits: unemployment-, disability-, social assistance- or other social security benefits). Only individuals aged 67 years or younger were included in this analysis (OS users n = 281, GenPop: n = 131.782). 3Debts: Undergoing debt restructuring and/or being a health insurance defaulter. All values smaller than 10 and the corresponding percentages, together with the value and percentage of another category (i.e. ‘No debts’) are reported this way in accordance with SN guidelines to prevent disclosure risk. When considering income and benefits (Table 3 ), the distribution of income significantly differed between users and the GenPop (p < .001). Users had significantly more often a high income and significantly less often a low income compared to the GenPop (p < .001; p < .001 resp.). Furthermore, receiving benefits or having debts was not significantly associated with OncoAppstore usage. Table 4. Study characteristics and results of the analyses of the healthcare expenditures and usage, and proximity of care variables (N = 261.684) Continuous variables presented as mean with standard deviation, and categorical variables presented as counts with percentages. OS: OncoAppstore. CS: cancer survivors. Significance levels: ***p < .001, **p < .01, p < .05. 1 P-value in rows of category names indicate overall significance of the variable. P-values in rows of different categories indicate significance of a category compared to all other categories. P-values for categorical variables are based on Chi-square tests and Fisher’s exact tests (see Method, section Statistical analysis). P-values for continuous variables are based on Mann-Whitney-U tests. 2 Data on primary and specialist mental healthcare expenditures were not yet available for 2022, explaining the high number of missing values among OncoAppstore users (i.e., those diagnosed in 2023, for whom healthcare expenditures were calculated for 2022). 32 All values smaller than 10 and the corresponding percentages, together with the value and percentage of another category (i.e. ‘No receival’) are reported this way in accordance with SN guidelines to prevent disclosure risk. Regarding healthcare expenditures (Table 4 ), total healthcare expenditures (p < .001), general practitioner expenditures (p = < .001), hospital expenditures (p = < .001), and pharmaceutical expenditures (p = < .001) were significantly lower among users compared to the GenPop the year before diagnosis. Primary and specialist mental healthcare expenditures were significantly higher (p = .007 and p = .004 resp.) among users compared to the GenPop. There were no significant differences in paramedical care expenditures. Receiving care under the Social Support Act and receiving care under the Long-term Care Act were negatively associated with OncoAppstore usage (p < .001; p = .001 resp.) suggesting that OncoAppstore users were less likely to use these additional forms of care. Regarding the proximity of healthcare facilities, the groups did not differ significantly in either the distance to the nearest GP and hospital or the number of hospitals and GPs within 5 kilometers of their homes. Discussion This study aimed to compare users of the OncoAppstore with the general population of cancer survivors diagnosed between 2018 and 2022 based on sociodemographic, clinical, income, and healthcare usage factors. Regarding sociodemographic and income-related factors, OncoAppstore users tended to have higher educational levels and incomes, were more likely to be female, younger on average, and more often of Dutch origin compared to the GenPop. These findings indicate that the early uptake of the OncoAppstore is predominantly driven by individuals with higher socioeconomic status (SES), consistent with prior research. For instance, Weiss et al. (2018) demonstrated that individuals with higher SES are the first to adopt and benefit most from innovative technologies in health 60 . Other studies have shown that individuals with lower SES are often harder to reach for participation in digital interventions. In particular, digital self-management interventions are used less frequently by those with lower educational levels and adults over 65 years old 61 , 62 . People with lower educational levels and older people often have less e-health literacy (i.e., the ability to use emerging information and communications technologies to improve or enable health and health care) 19 . Cancer survivors with lower digital literacy have less access to and tend to gain less from online resources than those with higher digital literacy 19 , 63 . Remarkably, a larger platform from a well-known source that cancer survivors frequently engage with, where costs are eliminated and awareness is widely spread, still seems to attract the same type of cancer survivors as observed in previous studies on e-health interventions. However, it is important to clarify that the OncoAppstore is not meant to replace specific forms of care or reach all potential users. Its primary purpose is to enhance access to evidence-based self-management interventions for cancer survivors who may benefit from them. While the OncoAppstore currently appeals mainly to a specific group of patients, those who use it may reduce their reliance on formal healthcare services. This could potentially free up capacity among healthcare professionals, allowing them to focus more on individuals who are less able to address their challenges through digital self-management interventions. Whether this shift in healthcare utilization actually occurs should be explored further in future studies. Our findings showing that users have higher primary and specialist mental healthcare expenditures in the year before diagnosis compared to the GenPop, is likely because many apps on the platform focus on mental well-being. This focus likely attracts individuals who were already seeking treatment for mental health related issues. To fully interpret these and the other significant findings on healthcare expenditures, additional information is needed. In contrast to other research showing that cancer survivors in rural areas use informational support applications less frequently, the current study found no association between OncoAppstore usage and the distance to healthcare services 22 . This suggests that in the compact geography of the Netherlands (i.e., a relatively small country with limited travel distances), OncoAppstore usage is not influenced by healthcare service proximity. This could be different for larger and more widely spread countries. The current study has several strengths and limitations, which will be discussed below. An important strength of the study is the use of national registry data of SN, NCR and DHD. These data are often representative of the entire population, reducing selection bias. Additionally, the data are well maintained, ensuring high quality and accuracy. Furthermore, the OncoAppstore is incorporated in the well-known platform Kanker.nl, with a large reach among cancer survivors, aiming to promote the usage of online interventions. It provided a very interesting case to investigate the effects on usage among different types of cancer survivors. There are also some limitations. First, there are some shortcomings in the data as mentioned in the Method section. A total of 368 individuals used the OncoAppstore and consented to the use of their data for scientific research. This number represents a subset of the 3,620 OncoAppstore users (further detailed in the paper by de Korte et al.) 38 . However, some of these 3,620 users are relatives, cancer survivors diagnosed before 2018, or individuals who only requested the health credit without purchasing an application, and are therefore excluded from our target population. The relatively small sample size and the self-selection may have introduced bias, particularly if certain groups—such as women and individuals with higher education levels—were more likely to consent to data sharing. Furthermore, data on the year of diagnosis and cancer type were obtained differently for users and the GenPop. NCR data were used for users, while for the general population (GenPop), NCR data were unavailable to match a control group, so DHD data were used instead. Specifically, hospital admission records from 2018–2022 with a cancer diagnosis were utilized to identify cancer survivors in the GenPop and determine their year and type of diagnosis. However, some individuals may have been diagnosed with cancer but not admitted to the hospital during this period, for example, due to a wait-and-see approach to treatment. These factors could have impacted the validity of the data. Finally, the results were not adjusted for multiple testing as it concerned explorative research. Some p-values were close to the conventional threshold of 0.05, which calls for cautious interpretation. Based on the findings of this study, several implications for policy and practice can be identified. It is important to recognize that for some cancer survivors, digital self-management programs may be (currently) less suitable or perceived as not fully addressing their needs. However, for those who could benefit from digital interventions, various strategies can be employed to engage a more diverse group of users, particularly those who are currently less involved with the OncoAppstore. Active and tailored recruiting strategies, such as face-to-face or personal contact, can be effective as they help create a sense of security and increase engagement 29 , 62 , 64 , 65 . Another promising strategy might be to use the social (i.e., relatives and healthcare professionals) and existing local networks (i.e., community centers) of people with lower SES 66 , 67 . However, reaching individuals with lower SES remains challenging as there is little evidence for effective strategies to reach these individuals 62 , 68 . Additionally, offering information and applications in multiple languages ​​and providing content in various formats (audio, video, text) on the OncoAppstore could help increase usage among culturally and linguistically diverse populations 69 – 71 . Furthermore, ensuring that community sensitivities are considered and using culturally relevant examples could further enhance engagement 69 , 72 . To attract individuals with limited digital literacy, it would be helpful to increase their digital literacy through (culturally tailored) educational programs and the OncoAppstore interventions should be easily accessible and user-friendly 19 . Several directions for future research can be identified. Firstly, future research could follow-up on the current study by including larger groups of OncoAppstore users, particularly those who used it after the data collection period of the current study to examine whether uptake patterns in this group are different from the group of early users. This will provide more comprehensive insights and determine if early users differ from later users of the OncoAppstore. Future research should also examine the effects of the OncoAppstore on cancer survivors’ (perceived) health outcomes, quality of life, healthcare utilization, work ability and lifestyle factors. For example, longitudinal research could examine these factors before and after OncoAppstore usage. Additionally, further research, including qualitative studies, can be conducted to explore the perspectives and attitudes of underrepresented groups of cancer survivors towards the OncoAppstore. Also, future research can be conducted to explore how the examined characteristics interrelate and influence each other. Conclusion This study is the first to use nationwide registry data to examine differences between users of a digital self-management intervention platform – one that offers high-quality interventions, provides a digital health credit, and comes from a well-known source – with the GenPop. Our findings demonstrate that the OncoAppstore is currently used predominantly by highly educated, younger females with high incomes, originating in the Netherlands. Despite the platform’s large reach and the provision of a digital health credit, some groups remain underrepresented. Still, the OncoAppstore is not specifically designed to replace certain forms of care or reach all potential users. Its primary goal is to enhance and simplify access to evidence-based self-management interventions for cancer survivors. To promote broader inclusivity and extend the platform’s reach, targeted strategies could be implemented to engage a more diverse group of cancer survivors. Additionally, further research is needed to assess the OncoAppstore’s initial effects on cancer survivors’ health, quality of life and healthcare utilization and to explore potential differences in uptake patterns between early and late adopters. Declarations Acknowledgements The authors thank the participants of the OncoAppstore who consented to share their data for this research, the registration team of the Netherlands Comprehensive Cancer Organisation (IKNL) for collecting data for the Netherlands Cancer Registry, and Dr. Maarten Schipper and Dr. Jeroen Rodenburg, statisticians at the National Institute for Public Health and the Environment, for their valuable assistance with the data analysis. Finally, the authors thank Dr. Natascha van Vooren and Dr. Eva Alblas for their valuable comments and suggestions. Author contribution The study design and methodology development were handled by LvD. Data linking and analysis were led by LvD with support from JNS. Data interpretation was done by LvD and RvdV. LvD wrote the manuscript. RvdV, AK, JJA, MS, CRML, NHC and JNS critically revised the manuscript. All authors read and approved the definitive version of the manuscript for submission and publication in this journal. Funding The Dutch Ministry of Health, Welfare, and Sport funded this study to benefit the e-health monitoring project (project number V/060428/01). The Ministry had no role in the study design, data collection and analysis, data interpretation, manuscript writing, or publication approval. The Dutch Cancer Society (KWF) provided the digital credit for the OncoAppstore and contributed to its development, communication, and monitoring efforts. While KWF was not directly involved in the study design, data collection, analysis, or interpretation, their role in raising awareness about the OncoAppstore indirectly supported data collection. This study emerged from a collaboration between two projects with separate funding streams. KWF was not a direct funder of this research but played a key role in the broader tripartite collaboration. Data availability The data generated and analyzed during this study are available from the corresponding author upon reasonable request. Ethics approval The study was submitted and exempt from review by the Medical Research Ethics Committee Brabant (NW2022-42), as this study is not subject to the Dutch Medical Research Involving Human Subject Act. Consent to participate All OncoAppstore users included in this study have provided written informed consent for their data to be shared with Statistics Netherlands in line with the Dutch GDPR. Consent for publication Not applicable. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {\"props\":{\"pageProps\":{\"initialData\":{\"identity\":\"rs-7082271\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":502793847,\"identity\":\"401756b0-9b47-4388-8f4d-2df96d8a299f\",\"order_by\":0,\"name\":\"Liza Deursen\",\"email\":\"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYBACPmY4MwFC8TMwNoBoGVxa2DC0SDZAtPDg1IJgQrUYHIDQuLWwsz/8wNhml8fAnnxMuuKPTZ7x7cNtUjcY7uDWwsyQLMHYllzMwPMsTfJsW1qx2bnENukchmf4tByQYDjDnNggkWMm2dhwOHHbGcZm4xyGw3i0MDb/YDhTD9SS/02y4c//xM09BLUws0kwVBwG2cIm2cB2IHEDD2PjY/xa2NgsEiqOJ7bxPDO2bGxLTpxxBqTFALcWfv7jj298MKhO7GdPfniz4Y9dYn8P+4PDORWH5XBpAYMEBpQIAgEDvBpGwSgYBaNgFBAAAI7OTJq/sCRsAAAAAElFTkSuQmCC\",\"orcid\":\"\",\"institution\":\"National Institute for Public Health and the Environment\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Liza\",\"middleName\":\"\",\"lastName\":\"Deursen\",\"suffix\":\"\"},{\"id\":502793849,\"identity\":\"ce741858-eb07-43bb-af9f-c0cbd4d924ce\",\"order_by\":1,\"name\":\"A. 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Struijs\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Health Campus The Hague, Leiden University Medical Center\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"J.\",\"middleName\":\"N.\",\"lastName\":\"Struijs\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2025-07-09 09:23:35\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-7082271/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-7082271/v1\",\"draftVersion\":[],\"editorialEvents\":[{\"content\":\"https://doi.org/10.1007/s00520-025-10035-5\",\"type\":\"published\",\"date\":\"2025-10-17T15:58:30+00:00\"}],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":93956764,\"identity\":\"29ade8a3-06e4-4bf0-b415-6311d5567a8b\",\"added_by\":\"auto\",\"created_at\":\"2025-10-20 16:12:14\",\"extension\":\"pdf\",\"order_by\":0,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":858326,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"manuscript.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7082271/v1/33305203-40a4-4e04-a11f-497813276322.pdf\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data - the OncoAppstore case\",\"fulltext\":[{\"header\":\"Introduction\",\"content\":\"\\u003cp\\u003eAs cancer survival rates continue to rise, the number of individuals living with the long-term effects of cancer disease and treatment, such as fatigue, fear, depression, cognitive issues, and neuropathy, is also increasing\\u003csup\\u003e\\u003cspan citationid=\\\"CR1\\\" class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR2\\\" class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e\\u003c/sup\\u003e. Consequently, there is a growing need for psychosocial, emotional, physical, and lifestyle support. While some support is available, it is often constraint by factors like specialist availability, financial resources, and facilities. Previous studies have shown that a large group of cancer survivors (i.e., those living with cancer from the time of diagnosis until the end of their life\\u003csup\\u003e\\u003cspan citationid=\\\"CR3\\\" class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u003c/sup\\u003e) do not receive the needed support and had unmet healthcare needs\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR5\\\" citationid=\\\"CR4\\\" class=\\\"CitationRef\\\"\\u003e4\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR6\\\" class=\\\"CitationRef\\\"\\u003e6\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eAn efficient and effective manner to provide psychosocial or lifestyle support and to help survivors with their (disease and treatment-related) needs is through digital self-management interventions. Many effective digital self-management interventions have been developed, such as interventions to monitor health-related quality of life or provide psychosocial, physical, emotional, and lifestyle support for cancer survivors\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR8 CR9\\\" citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR10\\\" class=\\\"CitationRef\\\"\\u003e10\\u003c/span\\u003e\\u003c/sup\\u003e. Digital self-management interventions have been proven effective in improving a range of health outcomes, including symptom burden, pain complaints, lifestyle, psychological adjustment, and overall quality of life, as well as reducing side effects of the disease and treatment such as cancer-related anxiety, fatigue, or depressive symptoms\\u003csup\\u003e\\u003cspan citationid=\\\"CR5\\\" class=\\\"CitationRef\\\"\\u003e5\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR7\\\" class=\\\"CitationRef\\\"\\u003e7\\u003c/span\\u003e,\\u003cspan additionalcitationids=\\\"CR12 CR13\\\" citationid=\\\"CR11\\\" class=\\\"CitationRef\\\"\\u003e11\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR14\\\" class=\\\"CitationRef\\\"\\u003e14\\u003c/span\\u003e\\u003c/sup\\u003e. Despite the potential benefits of digital self-management interventions, multiple challenges to their uptake exist. First, many cancer survivors are unaware of their existence and proven benefits. Second, there is a general reluctance among cancer survivors to invest in these digital tools, and third, lack of reimbursement for these interventions remains a hurdle\\u003csup\\u003e\\u003cspan citationid=\\\"CR15\\\" class=\\\"CitationRef\\\"\\u003e15\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e\\u003c/sup\\u003e. Finally, some survivors perceive them as being inferior to in-person support from healthcare providers\\u003csup\\u003e\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e\\u003c/sup\\u003e. Likely influenced by these challenges, only a small part of cancer survivors have used digital self-management interventions\\u003csup\\u003e\\u003cspan citationid=\\\"CR16\\\" class=\\\"CitationRef\\\"\\u003e16\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eFurthermore, there are large differences in e-health usages among different groups of users. For example, women are more likely to search for health information online and to use mobile applications\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR18 CR19 CR20 CR21 CR22 CR23 CR24 CR25 CR26 CR27\\\" citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e\\u003c/sup\\u003e. Other research suggests that higher age, lower income, lower education, living alone, and residing in rural areas (i.e., with less healthcare in proximity) are associated with lower e-health use, while findings on e-health usage among racial and ethnic groups remain mixed\\u003csup\\u003e17–26,29−33\\u003c/sup\\u003e. Multiple scholars expressed their concerns about digital interventions exacerbating health disparities, primarily benefiting individuals with more resources\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR18 CR19 CR20 CR21 CR22 CR23\\\" citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR24\\\" class=\\\"CitationRef\\\"\\u003e24\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR30\\\" class=\\\"CitationRef\\\"\\u003e30\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eIn July 2023, the OncoAppstore has been launched in the Netherlands to enhance the uptake of digital self-management interventions among cancer survivors and their relatives. The OncoAppstore is a landing page on ‘Kanker.nl’ (in English: Cancer.nl) -a well-known platform in the Netherlands- and serves as a central hub that provides evidence-based digital self-management interventions\\u003csup\\u003e\\u003cspan citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e\\u003c/sup\\u003e. The platform’s primary aim is to enhance and simplify access to evidence-based self-management interventions for cancer survivors\\u003csup\\u003e\\u003cspan citationid=\\\"CR35\\\" class=\\\"CitationRef\\\"\\u003e35\\u003c/span\\u003e\\u003c/sup\\u003e. Users of the OncoAppstore are provided with a temporary personal digital health credit of 100 euros, eliminating financial barriers. This credit allows them to access a curated selection of high-quality digital interventions available on the platform.\\u003c/p\\u003e\\u003cp\\u003eIt is unknown to what extent the nature of the OncoAppstore—being offered on a well-known platform with a selection of high-quality interventions and providing a digital health credit—will influence uptake among cancer survivors and appeal to a diverse group of survivors. It could be the case, for example, that individuals with lower income will make more use of digital self-management interventions once the financial barrier is removed, or that females will use it more as they are more likely to search for health information online and to use apps\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR18 CR19 CR20 CR21 CR22 CR23 CR24 CR25 CR26 CR27\\\" citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e\\u003c/sup\\u003e. Therefore, this exploratory study aims to examine the early uptake of the OncoAppstore and to explore sociodemographic, clinical, income, and healthcare usage factors associated with its uptake among cancer survivors, by comparing users of the OncoAppstore with the general population of cancer survivors (GenPop).\\u003c/p\\u003e\\u003cp\\u003e\\u003c/p\\u003e\\u003cp\\u003e\\u003c/p\\u003e\"},{\"header\":\"Method\",\"content\":\"\\u003cp\\u003e\\u003cb\\u003eStudy setting\\u003c/b\\u003e\\u003c/p\\u003e\\u003cp\\u003eThe OncoAppstore is an initiative of three Dutch cancer-related organizations: The Netherlands Comprehensive Cancer Organization (Dutch abbreviation: IKNL), the online platform 'Kanker.nl', and the Cancer Society (Dutch abbreviation: KWF)\\u003csup\\u003e\\u003cspan citationid=\\\"CR36\\\" class=\\\"CitationRef\\\"\\u003e36\\u003c/span\\u003e\\u003c/sup\\u003e. IKNL is the quality institute for oncological and palliative research and practice in the Netherlands\\u003csup\\u003e\\u003cspan citationid=\\\"CR37\\\" class=\\\"CitationRef\\\"\\u003e37\\u003c/span\\u003e\\u003c/sup\\u003e. ’Kanker.nl’ is a well-known platform among cancer survivors and healthcare professionals with over 1,000,000 visits per month\\u003csup\\u003e\\u003cspan citationid=\\\"CR38\\\" class=\\\"CitationRef\\\"\\u003e38\\u003c/span\\u003e\\u003c/sup\\u003e. It provides information and support and is a forum for cancer survivors and their relatives\\u003csup\\u003e\\u003cspan citationid=\\\"CR39\\\" class=\\\"CitationRef\\\"\\u003e39\\u003c/span\\u003e\\u003c/sup\\u003e. KWF is an organization that aims to facilitate cancer research, influence policy, and share knowledge\\u003csup\\u003e\\u003cspan citationid=\\\"CR40\\\" class=\\\"CitationRef\\\"\\u003e40\\u003c/span\\u003e\\u003c/sup\\u003e. KWF temporary provides the digital health credit to OncoAppstore users; a doctor or practitioner referral is not required. Those interested in using the OncoAppstore must create a personal account on Kanker.nl. Once registered, they can claim the digital health credit to purchase interventions\\u003csup\\u003e\\u003cspan citationid=\\\"CR41\\\" class=\\\"CitationRef\\\"\\u003e41\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eIKNL, Kanker.nl, and the Dutch Public Health Service (Dutch abbreviation: GGD GHOR) have tested all interventions offered in the OncoAppstore for usability, reliability, scientific foundation, and privacy protection. The testing was carried out using the GGD test method for digital applications\\u003csup\\u003e\\u003cspan citationid=\\\"CR42\\\" class=\\\"CitationRef\\\"\\u003e42\\u003c/span\\u003e\\u003c/sup\\u003e. The OncoAppstore offers various interventions to support individuals with challenges caused by the disease and its treatment. These include a decision-making aid for those considering (additional) treatment options, mental health support for those dealing with issues such as depression, low self-esteem, and fear of recurrence, as well as interventions to help improve physical health\\u003csup\\u003e\\u003cspan citationid=\\\"CR34\\\" class=\\\"CitationRef\\\"\\u003e34\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eKWF, IKNL, Kanker.nl, and the organizations behind the interventions promote the OncoAppstore through social media campaigns and digital newsletters. Information is available on the websites of several cancer patient organizations and hospitals; and promotional material is being distributed via the waiting rooms of general practitioners in several municipalities within the Netherlands. This contributes to the awareness of digital self-management interventions among cancer survivors. Furthermore, presentations and other events for healthcare professionals are being held.\\u003c/p\\u003e\\u003cp\\u003e\\u003cb\\u003eStudy design, data sources and study measures\\u003c/b\\u003e\\u003c/p\\u003e\\u003cp\\u003eThis study is part of the broader OncoAppstore research, which investigates the OncoAppstore and consists of multiple studies. The methods and related studies can be found in a protocol paper\\u003csup\\u003e\\u003cspan citationid=\\\"CR43\\\" class=\\\"CitationRef\\\"\\u003e43\\u003c/span\\u003e\\u003c/sup\\u003e. The study was submitted and exempt from review by the Medical Research Ethics Committee Brabant (NW2022-42), as this study is not subject to the Dutch Medical Research Involving Human Subject Act. The current exploratory observational study combines data from three different sources into a single dataset.\\u003c/p\\u003e\\u003cp\\u003eThe first data source is IKNL. Individuals interested in using the digital health credit on the national online cancer platform Kanker.nl were invited to voluntarily participate in scientific research. Those who agreed received an information letter and informed consent form from IKNL. By digitally signing the consent form, participants also consented to their data being linked with data from Statistics Netherlands (SN, Dutch abbreviation: CBS) and the Netherlands Cancer Registry (NCR, Dutch abbreviation: NKR) in compliance with the European General Data Protection Regulation\\u003csup\\u003e\\u003cspan citationid=\\\"CR44\\\" class=\\\"CitationRef\\\"\\u003e44\\u003c/span\\u003e\\u003c/sup\\u003e. IKNKL provided information about which cancer survivors have used the OncoAppstore (i.e., those who have purchased at least one intervention and provided informed consent) between July 2023 and October 2024. Data on cancer diagnosis and year of diagnosis for OncoAppstore users were obtained from the NCR, which is managed by IKNL\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR46\\\" citationid=\\\"CR45\\\" class=\\\"CitationRef\\\"\\u003e45\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eThe second data source was the National Basic Hospital Care Register data obtained from Dutch Hospital Data (DHD), which contains information on cancer diagnoses. DHD is an organization that collects, manages, and edits hospital data\\u003csup\\u003e\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR48\\\" class=\\\"CitationRef\\\"\\u003e48\\u003c/span\\u003e\\u003c/sup\\u003e. The National Basic Hospital Care Register contains information on hospital admissions and associated diagnoses in Dutch hospitals of individuals registered in the Dutch Personal Records Database (BRP) based on ICD10 codes\\u003csup\\u003e\\u003cspan citationid=\\\"CR47\\\" class=\\\"CitationRef\\\"\\u003e47\\u003c/span\\u003e\\u003c/sup\\u003e. The study used Dutch Hospital Data from 2018 to 2022 (the most recent year of which data were available) to include all individuals admitted to the hospital at least once with a cancer diagnosis (ICD10 codes C00 – C97, excluding C44)\\u003csup\\u003e\\u003cspan citationid=\\\"CR45\\\" class=\\\"CitationRef\\\"\\u003e45\\u003c/span\\u003e\\u003c/sup\\u003e to be able to compare OncoAppstore users with the general population of cancer survivors. The year of diagnosis was determined based on the first-time individuals were admitted to the hospital for a cancer diagnosis. The year of diagnosis and type of cancer for survivors of the GenPop diagnosed before 2018 or after 2022 could not be determined as no data was available. Individuals who were deceased before the launch of the OncoAppstore (July 2023) were filtered out and excluded from the analyses.\\u003c/p\\u003e\\u003cp\\u003eThe third data source was the System of Social Statistical Datasets (SSD) from SN\\u003csup\\u003e\\u003cspan citationid=\\\"CR49\\\" class=\\\"CitationRef\\\"\\u003e49\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e\\u003c/sup\\u003e, which provides data on socio-demographics, income, healthcare usage, and care proximity. The SSD is a standardized system of interlinked registers and surveys that contains information on persons, households, jobs, benefits, education, hospitalizations, and more\\u003csup\\u003e\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e\\u003c/sup\\u003e. Researchers can access these data via remote access, granted under strict privacy-securing conditions\\u003csup\\u003e\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eThe OncoAppstore usage data of IKNL, the NCR data and the DHD were uploaded to the remote access environment of SN and linked to the SN data. SN replaced all personal identifiers from all data sources with an anonymous key called a PIN (personal identification number) to link the data before sharing it with researchers to protect the privacy of individuals and prevent direct identification\\u003csup\\u003e\\u003cspan citationid=\\\"CR50\\\" class=\\\"CitationRef\\\"\\u003e50\\u003c/span\\u003e\\u003c/sup\\u003e. Also, the output of the researchers is checked by SN to ensure the privacy and anonymity of participants.\\u003c/p\\u003e\\u003cp\\u003eThe variables used from SN are described below.\\u003c/p\\u003e\\u003cp\\u003e\\u003cem\\u003eSociodemographic and income-related characteristics\\u003c/em\\u003e\\u003c/p\\u003e\\u003cp\\u003eThe sociodemographic, and income-related data included gender (male or female), age (in years), level of education, country of origin, income, benefits, and debts. These variables were included in the analysis because differences between OncoAppstore users and the GenPop were expected based on these characteristics. Research has shown that individuals with a low socioeconomic status, a migrant background or older age often experience greater difficulties in independently searching for, accessing, understanding, and utilizing e-health interventions. Also, women are more likely to search for health information online and to use mobile applications\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR18 CR19 CR20 CR21 CR22 CR23 CR24 CR25 CR26 CR27\\\" citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e–\\u003cspan citationid=\\\"CR28\\\" class=\\\"CitationRef\\\"\\u003e28\\u003c/span\\u003e\\u003c/sup\\u003e. Results on the influence of ethnicity are mixed\\u003csup\\u003e\\u003cspan citationid=\\\"CR29\\\" class=\\\"CitationRef\\\"\\u003e29\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR33\\\" class=\\\"CitationRef\\\"\\u003e33\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eEducation level was classified as high, middle, and low, according to SN’s categorization\\u003csup\\u003e\\u003cspan citationid=\\\"CR51\\\" class=\\\"CitationRef\\\"\\u003e51\\u003c/span\\u003e\\u003c/sup\\u003e. Country of origin was categorized into three groups: 1) Netherlands; 2) Europe (excluding the Netherlands); and 3) Outside of Europe\\u003csup\\u003e\\u003cspan citationid=\\\"CR52\\\" class=\\\"CitationRef\\\"\\u003e52\\u003c/span\\u003e\\u003c/sup\\u003e. The income of individuals was based on standardized household income compared with other households, excluding those of students. The study classified household incomes into three income classes: low income (percentile 0 to 40), middle income (percentile 40 to 80), and high income (percentile 80 to 100) based on the classification of SN. Also, an analysis was conducted to determine whether individuals aged 66 years or younger received benefits (i.e., unemployment benefits, disability benefits, social assistance benefits, or other social security benefits). Only individuals under the age of 67 were included, as everyone in the Netherlands receives public pension benefits starting at the age of 67. Individual debts were assessed by checking whether individuals were in debt restructuring, were health insurance defaulters or both. Individuals who received a debt rescheduling order under the Natural Persons Debt Rescheduling Act 34 were considered to be in debt restructuring\\u003csup\\u003e\\u003cspan citationid=\\\"CR53\\\" class=\\\"CitationRef\\\"\\u003e53\\u003c/span\\u003e\\u003c/sup\\u003e. Health insurance defaulters were adults registered in the BRP who were obliged to take out insurance under the Healthcare Insurance Act but had not paid a premium for their primary insurance for at least six months and were subject to the administrative law premium regime.\\u003c/p\\u003e\\u003cp\\u003e\\u003cem\\u003eMedical care expenditures and reception of additional care\\u003c/em\\u003e\\u003c/p\\u003e\\u003cp\\u003eIn the analysis, data on healthcare expenditures and the usage of additional care were included, as these factors are closely related to health status and can be linked to the likelihood of using e-health interventions. Research indicates that individuals with greater health needs are more likely to use health information technology, and those with poorer health tend to search for health information online more frequently than their healthier peers\\u003csup\\u003e\\u003cspan citationid=\\\"CR17\\\" class=\\\"CitationRef\\\"\\u003e17\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR54\\\" class=\\\"CitationRef\\\"\\u003e54\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR55\\\" class=\\\"CitationRef\\\"\\u003e55\\u003c/span\\u003e\\u003c/sup\\u003e. Since healthcare expenditures and the usage of additional care can serve as proxies for health status, these variables provide valuable insights into the potential differences between OncoAppstore users and the GenPop.\\u003c/p\\u003e\\u003cp\\u003eThe total healthcare expenditures of individuals were analyzed, together with different categories of healthcare expenditures, including general practitioners' care, hospital care, paramedical care, primary and specialist mental healthcare, and pharmaceutical expenditures. These expenses were calculated for the year prior to the year of diagnosis of an individual. For example, if an individual was diagnosed with cancer in 2021, the expenses for the year 2020 were calculated. However, this analysis could not be conducted for survivors of the GenPop diagnosed before 2018 or after 2022, as data on the year of diagnosis were unavailable beyond this point. As a result, comparisons between users and the GenPop were limited to those diagnosed between 2018 and 2022. The differences in healthcare expenditures between years were corrected for inflation based on Consumer Price Indexes\\u003csup\\u003e\\u003cspan citationid=\\\"CR56\\\" class=\\\"CitationRef\\\"\\u003e56\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eIn addition, it was analyzed whether individuals received care under the Social Support Act (in Dutch: WMO), which is care provided by municipalities responsible for assisting people who cannot independently arrange the care and support they need\\u003csup\\u003e\\u003cspan citationid=\\\"CR57\\\" class=\\\"CitationRef\\\"\\u003e57\\u003c/span\\u003e\\u003c/sup\\u003e. The Social Support Act aims to help people live at home for as long as possible. Furthermore, we analyzed whether individuals received care under the Long-Term Care Act (in Dutch: WLZ)\\u003csup\\u003e\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e\\u003c/sup\\u003e. The Long-term Care Act regulates heavy, intensive care for vulnerable older adults, people with disabilities, and people with mental illness\\u003csup\\u003e\\u003cspan citationid=\\\"CR58\\\" class=\\\"CitationRef\\\"\\u003e58\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003e\\u003cem\\u003eProximity of care\\u003c/em\\u003e\\u003c/p\\u003e\\u003cp\\u003eProximity of care was included in the analysis, as individuals in rural areas tend to use e-health less frequently, and healthcare proximity is closely linked to the rurality of their residence\\u003csup\\u003e\\u003cspan citationid=\\\"CR31\\\" class=\\\"CitationRef\\\"\\u003e31\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR32\\\" class=\\\"CitationRef\\\"\\u003e32\\u003c/span\\u003e\\u003c/sup\\u003e. To determine healthcare proximity, the distance between a person's home address and the nearest general practitioner and hospital was measured. The average number of general practitioners and hospitals within a five-kilometer radius of their homes was also calculated.\\u003c/p\\u003e\\u003cp\\u003eTable\\u0026nbsp;\\u003cspan refid=\\\"Tab1\\\" class=\\\"InternalRef\\\"\\u003e1\\u003c/span\\u003e provides a summary of the study measures from the three different data sources.\\u003c/p\\u003e\\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c1\\\" colnum=\\\"1\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c2\\\" colnum=\\\"2\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c3\\\" colnum=\\\"3\\\"\\u003e\\u003c/div\\u003e\\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\" colname=\\\"c4\\\" colnum=\\\"4\\\"\\u003e\\u003c/div\\u003e\\u003ctable float=\\\"Yes\\\" id=\\\"Tab1\\\" border=\\\"1\\\"\\u003e\\u003ccaption language=\\\"En\\\"\\u003e\\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 1\\u003c/div\\u003e\\u003cdiv class=\\\"CaptionContent\\\"\\u003e\\u003cp\\u003eSummary of study measures from the different data sources\\u003c/p\\u003e\\u003c/div\\u003e\\u003c/caption\\u003e\\u003ccolgroup cols=\\\"4\\\"\\u003e\\u003c/colgroup\\u003e\\u003cthead\\u003e\\u003ctr\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eSource*\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eCategory\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eMeasures\\u003c/p\\u003e\\u003c/th\\u003e\\u003cth align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003eYear of data included\\u003c/p\\u003e\\u003c/th\\u003e\\u003c/tr\\u003e\\u003c/thead\\u003e\\u003ctbody\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eIKNL\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eOncoAppstore (OS) usage\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eOS user\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2023–2024\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eIKNL (NCR)\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eClinical data of OS users\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eYear of diagnosis and cancer type\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2018–2024\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eDHD\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eClinical data of the general population of cancer survivors\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eYear of diagnosis, cancer type\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2018–2022\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eSN\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eSociodemographic characteristics\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eGender, age, level of education, country of origin\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003en.a.\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eSN\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eIncome, benefits, and debts\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eStandardized household income, benefits, debts (i.e. restructuring and/or health insurance defaulters)\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2023\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eSN\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eHealthcare expenditures\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eTotal healthcare expenditures, expenditures for general practitioners' (GP) care, hospital care, paramedical care, primary and specialist mental healthcare, and pharmacy\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2017–2021 (year prior to year of diagnosis was used)\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eSN\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eAdditional care reception\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eCare under the Social Support Act, Care under the Long-term Care Act\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2023\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003ctr\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c1\\\"\\u003e\\u003cp\\u003eSN\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c2\\\"\\u003e\\u003cp\\u003eProximity of care\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c3\\\"\\u003e\\u003cp\\u003eDistance between home address and the nearest GP and hospital, number of GPs and hospitals within a five-kilometer radius of home\\u003c/p\\u003e\\u003c/td\\u003e\\u003ctd align=\\\"left\\\" colname=\\\"c4\\\"\\u003e\\u003cp\\u003e2022\\u003c/p\\u003e\\u003c/td\\u003e\\u003c/tr\\u003e\\u003c/tbody\\u003e\\u003c/table\\u003e\\u003c/div\\u003e\\u003cp\\u003e*IKNL: The Netherlands Comprehensive Cancer Organization; NCR: Netherlands Cancer Registry; DHD: National Basic Hospital Care Register data provided by Dutch Hospital Data (DHD); SN: Statistics Netherlands.\\u003c/p\\u003e\\u003ch2\\u003eStatistical analysis\\u003c/h2\\u003e\\u003cp\\u003eFirst, all data were linked using R statistical software (version 4.2.3). Statistical analyses were then performed using SPSS (version 25)\\u003csup\\u003e\\u003cspan citationid=\\\"CR59\\\" class=\\\"CitationRef\\\"\\u003e59\\u003c/span\\u003e\\u003c/sup\\u003e. Descriptive analyses were performed to examine the distribution of variables for both OncoAppstore users and the GenPop. Statistical analyses were then conducted to determine whether any differences in the variables between the two groups, as outlined in Table\\u0026nbsp;\\u003cspan refid=\\\"Tab2\\\" class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e, were statistically significant. Mann-Whitney U tests were conducted to assess the association between OncoAppstore usage and the continuous variables. Chi-square tests were conducted to investigate whether the categorical variables were differently distributed between OncoAppstore users and the GenPop. In one case (i.e., the ‘debts’ variable) where less than 80% of expected frequencies were greater than 5 (violating an assumption of the Chi-square test), a Fisher’s exact test was conducted. For the three variables that had three categories or more with significant differences between OncoAppstore users and the GenPop, additional tests were performed to assess in which of the categories the difference existed. This was done for the variables ‘educational level’, ‘income’, and ‘year of diagnose’. To this end, a dummy variable was created for every category that indicated whether a person belonged to that particular category or not (e.g. highly educated or not). For every dummy variable, a Chi-square test was conducted to test whether the dummy category was associated with OncoAppstore usage. This indicates whether, for example, the percentage of highly educated OncoAppstore users differs significantly from the percentage of highly educated of the GenPop.\\u003c/p\\u003e\"},{\"header\":\"Results\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eStudy characteristics\\u003c/strong\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eIn total, 368 individuals who used the OncoAppstore gave permission for their data to be used anonymously for scientific research. Twenty-eight cases could not be linked, likely due to typographical errors in the linking information, such as date of birth and changes in postal code over the years. Additionally, 29 users were excluded for not meeting the inclusion criteria; they were either diagnosed before 2018 (n\\u0026thinsp;=\\u0026thinsp;18) or had a cancer type outside the specified range of ICD-10 codes (n\\u0026thinsp;=\\u0026thinsp;11). This resulted in 307 users who were compared to the 261.377 GenPop that met the inclusion criteria. The most common cancer types were breast (53.8% in the user group and 21.6% in the non-user group), digestive system (10.8% and 20.6%), lymphoid hematopoietic and related tissue (7.5% and 8.4%), male genital tract (7.2% and 11.9%), female genital tract (6.6% and 6.1%), respiratory system and intrathoracic organs (5.2% and 7.2%), and kidney and urinary tract (3.3% and 9.1%). Of the 307 OncoAppstore users, 121 were diagnosed in 2023 and 46 in 2024. The distribution of diagnosis years from 2018 to 2022 is shown in Table \\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e, along with other user characteristics. Data for 2023 and 2024 are not included in Table \\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e, as no general population data were available for these years. The results of the statistical analyses are presented in Tables \\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e\\u0026ndash;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003e and further detailed below.\\u003c/p\\u003e\\n\\u003cdiv class=\\\"gridtable\\\"\\u003e\\n \\u003ctable id=\\\"Tab2\\\" border=\\\"1\\\"\\u003e\\n \\u003ccaption language=\\\"En\\\"\\u003e\\n \\u003cdiv class=\\\"CaptionNumber\\\"\\u003eTable 2\\u003c/div\\u003e\\n \\u003cdiv class=\\\"CaptionContent\\\"\\u003e\\n \\u003cp\\u003eStudy characteristics and results of the analyses of the sociodemographic variables and year of diagnosis (N\\u0026thinsp;=\\u0026thinsp;261.684)\\u003c/p\\u003e\\n \\u003c/div\\u003e\\n \\u003c/caption\\u003e\\n \\u003cthead\\u003e\\n \\u003ctr\\u003e\\n \\u003cth align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\u0026nbsp;\\u003c/th\\u003e\\n \\u003cth align=\\\"left\\\"\\u003e\\n \\u003cp\\u003eOS users\\u003c/p\\u003e\\n \\u003cp\\u003e(N\\u0026thinsp;=\\u0026thinsp;307)\\u003c/p\\u003e\\n \\u003c/th\\u003e\\n \\u003cth align=\\\"left\\\"\\u003e\\n \\u003cp\\u003eGeneral population of cancer survivors (GenPop)\\u003c/p\\u003e\\n \\u003cp\\u003e(N\\u0026thinsp;=\\u0026thinsp;261.377)\\u003c/p\\u003e\\n \\u003c/th\\u003e\\n \\u003cth align=\\\"left\\\"\\u003e\\n \\u003cp\\u003ep-value\\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e\\u003c/sup\\u003e\\u003c/p\\u003e\\n \\u003c/th\\u003e\\n \\u003cth align=\\\"left\\\"\\u003e\\n \\u003cp\\u003eMissing\\u003c/p\\u003e\\n \\u003cp\\u003e(OS users / Dutch population CS) (n (%))\\u003c/p\\u003e\\n \\u003c/th\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/thead\\u003e\\n \\u003ctbody\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eAge\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e56.5 (10.5)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e68.3 (13.3)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e0 (0%) / 0 (0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eGender\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e0 (0%) / 0 (0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eMale\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e64 (20.8%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e120,114 (46.0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eFemale\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e243 (79.2%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e141,263 (54.0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eEducational level\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e82 (26.7%) / 104.471 (40.0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eLow\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;10 (\\u0026lt;\\u0026thinsp;4.4%)\\u003csup\\u003e2\\u003c/sup\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e33,908 (30.3%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eMiddle\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026gt;\\u0026thinsp;68 (\\u0026gt;\\u0026thinsp;30.3%)\\u003csup\\u003e2\\u003c/sup\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e43,495 (38.9%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.012**\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eHigh\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e147 (65.3%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e34,503 (30.8%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eCountry of origin\\u003c/strong\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.002**\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e0 (0%) / 0 (0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eThe Netherlands\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e280 (91.2%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e218,896 (83.7%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eEurope (excl. the Netherlands)\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e13 (4.2%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e17,022 (6.5%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.106\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003eOutside Europe\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e14 (4.6%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e25,459 (9.7%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.002**\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cstrong\\u003eYear of diagnosis\\u003c/strong\\u003e\\u003csup\\u003e\\u003cstrong\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u003c/strong\\u003e\\u003c/sup\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e0 (0.0%) / 0 (0%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003e2018\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e18 (12.9%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e49,145 (18.8%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.072\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003e2019\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e17 (12.1%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e50,268 (19.2%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.033*\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003e2020\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e16 (11.4%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e48,295 (18.5%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.032*\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003e2021\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e31 (22.1%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e55,159 (21.1%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e.763\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003ctr\\u003e\\n \\u003ctd align=\\\"left\\\" colspan=\\\"2\\\"\\u003e\\n \\u003cp\\u003e\\u003cem\\u003e2022\\u003c/em\\u003e\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e58 (41.4%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e58,510 (22.4%)\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\n \\u003cp\\u003e\\u0026lt;\\u0026thinsp;.001***\\u003c/p\\u003e\\n \\u003c/td\\u003e\\n \\u003ctd align=\\\"left\\\"\\u003e\\u0026nbsp;\\u003c/td\\u003e\\n \\u003c/tr\\u003e\\n \\u003c/tbody\\u003e\\n \\u003c/table\\u003e\\n\\u003c/div\\u003e\\n\\u003cp\\u003eContinuous variables presented as mean with standard deviation, and categorical variables presented as counts with percentages.\\u003c/p\\u003e\\n\\u003cp\\u003eOS: OncoAppstore. CS: cancer survivors. Significance levels: ***p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001, **p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.01, p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.05. \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e\\u003c/sup\\u003eP-values in rows of category names indicate overall significance of the variable. P-values in rows of different categories indicate significance of a category compared to all other categories. P-values for categorical variables are based on Chi-square tests and Fisher\\u0026rsquo;s exact tests (see Method, section Statistical analysis). P-values for continuous variables are based on Mann-Whitney-U tests. \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e\\u003c/sup\\u003eAll values smaller than 10 and the corresponding percentages, together with the value and percentage of another category (i.e. \\u0026lsquo;Middle\\u0026rsquo;) are reported this way in accordance with SN guidelines to prevent disclosure risk. \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e3\\u003c/span\\u003e\\u003c/sup\\u003eAs there were no data available for the GenPop for 2023 and 2024, these years were excluded from the statistical analysis.\\u003c/p\\u003e\\n\\u003cp\\u003eWhen considering sociodemographic and clinical variables (Table\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e2\\u003c/span\\u003e), OncoAppstore users were significantly younger compared to the GenPop (M\\u0026thinsp;=\\u0026thinsp;56.5, SD\\u0026thinsp;=\\u0026thinsp;10.5 vs. M\\u0026thinsp;=\\u0026thinsp;68.3, SD\\u0026thinsp;=\\u0026thinsp;13.3, p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001). Additionally, gender was significantly associated with OncoAppstore usage (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001). The user group consisted of more females than the GenPop (79.2% vs. 54.0%). Also, there was a significant association between educational level and OncoAppstore usage (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001). There were significantly more individuals with a \\u0026lsquo;High\\u0026rsquo; and significantly fewer individuals with a \\u0026lsquo;Middle\\u0026rsquo; or \\u0026lsquo;Low\\u0026rsquo; educational level in the user group compared to the GenPop (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001; p\\u0026thinsp;=\\u0026thinsp;.012; p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001 resp.). There was also a significant influence of country of origin on OncoAppstore usage (p\\u0026thinsp;=\\u0026thinsp;.002), with users more frequently originating from the Netherlands (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001) and less frequently from outside Europe (p\\u0026thinsp;=\\u0026thinsp;.002) compared to the GenPop. Furthermore, the year of diagnosis was significantly associated with OncoAppstore usage (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001). OncoAppstore users were less often diagnosed in 2019 and 2020 and more often in 2022 than the GenPop (p\\u0026thinsp;=\\u0026thinsp;.033, p\\u0026thinsp;=\\u0026thinsp;.032, and p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001 resp.).\\u003c/p\\u003e\\n\\u003cdiv class=\\\"gridtable\\\"\\u003e\\u003cstrong\\u003eTable 3.\\u0026nbsp;\\u003c/strong\\u003eStudy characteristics and results of the analyses of the income-related variables (N = 261.684)\\u003c/div\\u003e\\n\\u003cp\\u003e\\u003cimg 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aL6Pf7Oj2Xy218utKUz+eRz+cT25TydXZ2ppvDK5WKHrpkEwmM04aaMdXrdZyfn+ubJ8Tr+r6vu1XkcjmUy+UHg1DJO5/PX2XtEhG9XDmlrHmGDL/42c/sJO3b3/mOnUREREREbxxrHomIiOhJyBin25LWoLR+yx/LfOguZ3Rtkn0yWxIKhUJmNxbZThAEiRYn6dok73uep8eKfW/9ihk8EhER0bOQLibSNUgeSksbgeBjTCYTnJyc6NlrZCQO13V1FyV5uNLzPPT7fYRhmBr0XVxc6Ke5wzDEYDCAE8+hHgSB7iolXW4cx3l33ZgYPBIREb0DrusmatLM2jQ7fTKZ6Kf6zXSZFckMAM2aOmH2Q5bXn//5n+v+5zJHttQ82jMjySuKosQMSvKyH3CU/szyFLaMjiFDrMF6wlz6DNsz18gDluVyOZEu5EE1cxipdru9Nr3jW8fgkYiI6J2QmjQZgaLf78N1XYRhiPF4rIcjazabOj/i4XE6nQ6m0yn+9//+34ltppFh0eQFAP/rf/0vvb1OpwOlVOLhOHmgLAxDnU8C1DAMUa1WE/ttmk6nqWM/NhoNVKtVnJyc6GBUyJSJJhlV4fDwEMViUT94KZ8r35NJRve4ublJpL9lDB6JiIjekXq9jnw8J/h0OsVsNoPjOLo2rt1uA4AOEjudDmAMofbVV1/pbW1ijm4BY6zeNPf39wjDEJ1OR492IPsner0e8vk8HMfZeoQHxLWREsCaY/Sm9Xm0h7VaLpdQSsH3fT3JgIy2IOtvM8btW8PgkV6knNU8Yv7IpYkkra/KQ8yTmbkNu6O167q6I7T9knRzHEAiIvq1IAhwfn6OwWCgA7fPyXGcRKCZRmpVLy4u7LceJM3V1WoVjuPooeTs5vP3gsEjvTgS0JkdkMOMjs0fI4qitZOZzBxidrSuVqs4Pz/H7u5uotllMBgA8V2mjDP5Xk8cRPR63dzcIIoi3dRrT5QgA9//83/+zwFjulaZPvNf/It/kUhPC8ak+Xdvb2+rc/fOzg4cx9G1e0EQZDZFp5HaUmnmtm/+oyhCFEUIw1BXRqTVXtpTgSLeZhiPM5wmbdasN8+e7Nr086++ynwRfS7ValVPeh+GoQKgHMdRjuMopZQaDAYKgBqPx3od3/cVgLVXp9PReUyy3U6no7fn+75SSqnxeKwAqMFgkFjH3AdZ385Dn0e1WlVhGNrJr46UH6IvodPprJ0j5Xdlp/u+r89zaedUOW8iPj/LOub5W9LlVa1W19JPTk70umnncfOz5BxtnotN9v8n5420bZrXAJPsg5zb5Xog+WQZ8f+tjM99C+eobTF4pBfHcRx9kpEfuPxgx+NxavC4LfPkkvXDt08eyjhhmJ8J42RIn08Yhqnfc9qF4imkXcCe6qIwGAw+qdwSPYVOp/NRvxM5/0rQ9pakndOFeQ3aRlYw+5ax2ZpeHHmqzTYYDPQTgJ9KxhSTp/nSOkynkWEgzCnhZMgJ+rwuLy/X5nHOxVMYmt0KyuWy7gj/WPIkqJSVpzrWMsc1EX1ZvV4v8ZCQqd1ub90taTKZIAzDtae/3zoGj/RqyPy80h/HFATB2oMt8uBLmnw+j06ngzAM8ff//t8H4qf9kNJ/RfreSJ9Hel7z+RwHBwd62XVdjMfjtfmau91uIs3u82QqFAqJh6SyygnislKtVvWTovZYdOa6QRDA87zEg1lmQJvP51P7WRE9h7OzMz0O4jZkuJ1isWi/9eotl8vM32K32936/5bxJNOC0LeMwSO9OJtqeezxtYQM/mq/zIFc7WmkpGO2dP6WO0epGarX64DRSVyWRVYNKT2t5XKZmH1iNps9eKIOggDD4VCXA9/3E0/Hh2GI+Xyu35/NZpm1DEEQJPbBcRyEYajXlUGMxcnJCY6OjvT7FxcXiW0XCoWNQ5YQEb10DB7pxSkUCplDLshUUJ9C1pUxugDA930Ui0U9+G0ul9O1jPl8Xj+hLWOPCQkGsmYhoOdh1wJKEDcajRJP60sNggRtjuMkamDa7Xaixllmv8jlciiVSrqGYjKZ6LIhzs7OMJ/P9XKn00kEt/1+H9fX13o5n8/rWm4ioteIwSO9ONK/LQgC3WxiXoxl0NaHap/SyLrykqBC+kLKS5o/5fPNGkwAOhg4PDxMpNPzkuOj4rlsRRRFKJVKicAy64YkjdnnURlj1N3e3q4N5cGmaCJ6bxg80osjQeFL7oAs40Ju0yeGnlalUnlw3Lh8Pp9oWpaXWWP4Kfb29tZmoIji+X+z2PmJiF47Bo/0IimlPqpj93N76fv3lp2dnaHZbG58svro6GjtIZhNAd62Dg4OcHJykuiz6Lpu4mnw8/PzRHB7cnKS6C8bRRF2dnb0MhHRa8PgkYhetLQHTJRSmM/niWbpXq+nuxs0Gg2Uy+XE+zIbxmPk83n4vg/HcfR2y+VyogtFp9PBcDjU74/H40SNp/0AEBHRa5NTZoceyy9+9jM7Sfv2d75jJxERPTnP87C3t/dJfVyfWxAEGI1Ga31kRRRFcF2XtdZE9Kqx5pGIXrTDw8M3M7B22oDnRESvDYNHInrR7GF2XrOLi4tXUYNKRLQJm62JiIiIaGuseSQiIiKirTF4JCIiIqKtMXgkIiIioq0xeCSiFyeXy6FWq+m5q80Bvj3PQy6Xe3CWGTGZTBLjPZrrua6b+p65Thp7Tm3ZPzNNXrVaDYVCYS29UCjo/0XmSicieg0YPBLRiyIBXK/X02lhGG4dLNqazSaq1SqUUnAcB81mE4iD0PPzc4zHYz19YaPRgOu6ep0sp6enQDxY+WAwQBiGCIIgMRViGIaAMfe1+R7iwc9lUPOXPBUnEZGNwSMRvSgypqM5b7jjOIlgUti1eWYtoDCnkjTfu7i4QLVaXRs65+zsTAd4Wcw8q9UKANamHLy8vAQAHB8fJ9IlCJbxHjudDqbTaSIPEdFLxuCRiF6U5XK5VuvX7/dTax/N2jx5LZfLRB7TdDrV2w7DENPpNBF4bjuWpNlsLbWX9pSDJycnqFariSAYcY2q4zg6aN3f3wfi2WmIiF4DBo9E9KJIc69tMBjoJudP4bouENcaik6nk2hiljwPyefzOljtdDpoNpuJwNauXRRBECAMQ7TbbZ22t7eXyENE9NIxeCSiV0H6B56cnOg0u8k6rdkacVCYVkMoNY35fB6O4xhrbO/Dhw8AgMViodPs2kUhfRvlfyEieo0YPBLRi7IpiBuPx4llu8k6rdnafDDGDOaq1Sqm0ymiKNI1gnbTc5ZCoaCDVOnbaDY/27WLiAPV6XSKTqeTSL+9vU0sExG9dJyekIhelFqthul0CqUUoiiC4ziJwK9QKCAMw7VgMI2sbxuPxzg4OEi85zgOlsulrqU0ScAnQSjip7hFtVrVD+WY+2+S7dpBalZ+IqKXisEjEb0ok8kEzWYTvu+vPWzyFuVyuUTwSUT00rHZmoheFKlNfA9jH3qeB1hjWhIRvXSseSQiIiKirX1y8EhEREREn+61VsSx2ZqIiIiItsbgkYiIiIi2xuCRiIiIiLb2qODxd37wA/zOD35gJxMRERHRG/Wo4JGIiIiI3pcnCR7vfvlL/M4PfoDf+u539euP/viPAQBX02ki/Xd+8APc/fKXibTf+u53cffLX2L4P/5HYjtpy2nblHQiIiIi+ryeJHgEgL++uwMA/PQnP8Hh976HP/+Lv8DdL3+Jf/8f/gN+c3cXP//qK/z8q6/wkx//WE/19dOf/AQ//clPAAB/9Ed/pLdz+L3v4T//8R/jv/7Jn+Cv7+7w//33/47f3N3Ff/2TP9Hb/Fe/+7v4+Vdf4d/9/u/rdCIiIiL6vJ4seASAf/W7v4vd3/gNHBwcAACur68BAP/yX/5Lneful7/EX9/d6by7v/EbOPze93D9V3+l8/ybf/Nv8E//6T8F4m1+57d+C9/73vcAAIvFAgDw53/xF/it734X//VP/gQA8H/+z//R6xMRERHR5/GkweNz+s9//Me6NvPnX32FWrVqZyEiIiKiJ/ZZg8d//I//MQDgf/7P/6nTdn/jN/Cbu7v487/4CwDAz37+c1z/1V/hMK5ZfMg/+Sf/BADw4x//2H6LiIiIiD6zzxo8Iq4h/Ou7u8QDM//pP/0nAMBvffe7+H//9b8GAJz9t/9mrZnuH/2jf4R/9/u/j+u/+qu1B26IiIiI6PPi3NZEREREXwDntiYiIiKiN4/BIxERERFtbWOzNRERERGRiTWPRERERLQ1Bo9EREREtDUGj0RERPRiRVEE13XtZPqCGDwSERG9I0EQIJfLIZfLoVAo2G8DcR7P8/RyoVDQ6wRBkMgr0vJ4nrf2OVEUIZfL6eVarab/TnNzc4Pj4+NEmuu6+rM+dZ/kNZlMdP5arZaaTkkMHomIiN6RUqkEpRSUUmi324kgUYxGI3S7XSAO1Pr9PpRSCMMQrVbLzp6ZZz6f68+R4K1SqSAMQ71uuVzODP4AYLFYoFgs2snwfV//H2nvZ+0TAIzHY71uo9EA4qCyXC7r9GazaWyNTAweiYiI3okgCDAYDPRyvV7HfD5P5EFcO2j+LQFWPp9HoVBIvL9tHsQBWrvdRj6f12n1eh3X19eJfCJtG9vadp/EfD7XATMAdDqdjUHte8bgkYiI6J24u7vD3t6eXjaDOBFFEcrlsp2spa1jkzzlchm5XA7z+Rw7Ozu4uLhIBGiSNy2ABYDLy8u1JmtRKpXWmsQ3Mfe72Wzq5uks+/v7dhLFGDwSERGRdn9/byd9sm63C6UUrq6uUKlUMJvN1vogYkNAulqtUpukz87OdPNyv9//qAdqZJ+UUvB9/8E+l7SOwSMREdE7sbu7i9vbW728qRk3yzbr2Hmkufrm5kb3VRyNRok8NnsbWQ4ODuykVGnbSwtMxWq1spMoxuCRiIjonSgWizg5OdHLl5eXaw/A7OzsJJbz+bx+8lgCMLumcFOeIAjW+hPa0gK7TU3WpsvLy9Qm5k37JCaTSaKJ3Xx4aDabbQwu3zX1CI7jKMdx7GQiIiJ6ocbjsQKgAKhqtWq/rZRSa+mSH4AKw1CpeDudTmdjHkm3lwEo3/eVUkr5vq8Gg4F+X5jbtpmfZeYbDAaJbaXtk+M4Os3+P833ZP9o3aPmtpZOqsvl0n6LiIiIXinXdXF2dmYnfxae5+Hw8DBRyxdFES4vLzfWVtKX8yTN1lEUJQbizOVyuvPqZDJJpMuj8mZaLpdDFEXwPC+xnbTltG2mjVFFREREn+b4+PjZrq3z+Xytefjy8hKHh4eJNHo5nqTmcTabwXEcAEAYhnBdF9PpFGEYwnEcOI6TqJ0sFAoIw1APEuo4DqrVKsrlMk5OTlCtVtFqtfQAnb7vo9Vq6XUcx0Gn08HZ2Rk8z8PJyQnCMFzry0BERERET+tJah5Fp9NBPp/X40NdXV0BANrtts4TRRHCMNR58/k8qtUqptOpztPr9fTTU51OB8ViEZVKBQDw05/+FABwfn6OXC6nO/7e3Nzo9YmIiIjo83jS4PE5mVMLKWN6ISIiIiL6fD5r8PjP/tk/AwBcXFzotHw+D8dxcH5+DsSP8E+nU1SrVZ1nk29/+9sAgOFwaL9FRERERJ/ZZw0eEdcQhmGYeGBGAr9cLodSqQQYTdwP+c3f/E0MBgNMp9O1B26IiOhtCIIgcd14KB3Gw5Rp0mYgkQc1bVnp9LAoita+61wup8dbTGM+GCvXcvPBWJOZhzPDfDmPemCGiIjoc8jlcpDLkwRy3W43M10CliiKEpURnufh4uIChUJBP8iZz+fhui6iKMJyuUQYhnqbWem0Hc/zUK/Xkc/nEQQBSqUSxuMxAKR2L3NdF0dHR2g0GgiCAP1+H1dXV6jVari6utJBZ6PRQK1WQ6/X009mm+/R8/rsNY9ERERZCoXCWk1VEAQYDAZ6uV6vYz6fZ6Yjnus4a1zCMAwTD2UKCSZtWen0sPl8rkc+KRaLDwbfURTp4M8ersckM8GYeRqNBhaLRSIfPQ8Gj0RE9KzMpufZbLYW9N3d3WFvb08vSzCSlb5Jt9uFUgqdTgdKKb3O2dkZwjDEYDBIBDhZ6bSdbY6JLQgCOwmtVgu5XA69Xg+NRgPNZnOtnCBjWkP6/Bg8EhHRs5lMJuj3+3qkjE8JNj5FWuCRz+dTZzDJSqfNPiWQOzs7Q6lU0jcTUkPcaDSglMJyuUStVoPv+7pvpNl/8rnKDyUxeCQiomfTaDTQ6/XWHpAw7e7u4vb2Vi9Lnqx0er3y+Xxi2D175BVprgagbzrYVP3lMXgkIqJnJX3hlFKoVCprfR6LxaKeAALxVHWtVisznV6Gx9YCep6nJxlBfHPQ6/VSa40FbyC+DAaPRET0xSyXSx0cFAoFHQyMx2NdOzmfz/VDFVnpruvqZs9cLrcWkNLzMIM56dvabDbRbDaRi4fdCYJAD7PjeZ4+nqvVKtFdoFKp6KH9isWirrE+OjoC4s96bMBKn4ZD9RAREdGTMIfq+dw4VM+Xw5pHIiIiehL1eh2np6d28mcxHA4ZOH4hrHkkIiIioq2x5pGIiIiItsbgkYiIiIi2xuCRiIiIiLbG4JGIiIiItvbo4FHGaiL6VK7rolAo6GWZgkpeaaIoSozjFkURcrlc6hyp8p45pZWo1WqJz5LPm0wmqZ+fM2bEYNn/OFnHyDwG5jGScmCWDZuM7ZfL5eB5HmDNm5yzxvsz86eVB8RDjcg+mtsyj7f8L5v2z94Ps9zY+zWZTPT2gyDQ/8t7Zn5/5neclQ7jd5smbdzHKIpSv+usdCL6xqOCxyiKEqPBE32sIAiwv79vJyemq0pzeXmJDx8+APEFo1KpYDAY2NmA+KKR9d7V1VXq1FjD4RBKKYzHYx1kyPyqMn5Zq9XKDEAoKesYyYwS8v03m02dLseg3++nXsjlu5d1Ly4udIDW6XR0ugxAbeeXz7KtVisUi0UAwGg00vnz+bzefqVSQRiGUEqh3W6n7p85f3MYhjg9PdWDGiul9LaieBaNq6srIB4MeT6fW1t7f0qlkv7+zO84K911XSwWi7Xp7TzP04OPm0G867pwXRcXFxeJgDMrnYh+7VHB483NDfb29uzkxN22MO/6arWa/gF7nscL8Ds2Go0SMwpsaz6f6yCu0WhguVzaWYA4ON12+rIgCDJvhmR+VQkqEH8u51jdTtYxms/niePf6XQQBAG63a7+rnd3d401fm2xWOgbCABot9u4ublJ5DHd3t7i+PhYLw8Gg7VaUPtmxpwWTQI/xLWi8ne3200N9srlsg5sTk9P9awYNtd19SwaotVqre3bW1UoFNZqBYMgSNxo1Ot1zOfzzHTExyprGrswDDGdTu1kTKdThGFoJ2emE9E3HhU83t7e4uDgIJFWKBT0Hfl4PNYnT/Mue7lc4v7+HgBwcXGxtg16HyaTSeJibpKbD/uiIradvWA0Gm09iGy/39eBTKvVQi6XQ6/XQ6PRQLPZTL0wSbmmp5FWC319fY3Dw0M7ORHMAUjcyJ6fn+syZAZh19fX+u80d3d3ic8ym0h7vZ5OTwtEbFKWcvF0ao1GQ9de5nI5lMvl1JsSxAHzQ/v6mpnf62w2W/tt3d3dJY6nHOes9E263S6UUro2WtY5OztDGIYYDAZQRgtHVjoR/dqjgkez9gfxCaHf7+u0tBqD09NT9Pt93N3dIQiCxB08vS+LxWLtool4rltploLR3Ci2Ddg8z0vUTG1iByKNRgNKKSyXS91cLX3wzP1h2f28oihKNCNvo1gs6vKjlEKpVALiIEKaInO5HE5OTuxVcXt7m1g2t9Xv93Ugas6vnMto2pQbZ6UUFouFXpauEvV6Hb1eD8fHx2vb2dnZ0X+/NZPJJNGk/1y/ITtARfz7TWv5yEonom88Kni0XV9fJwJG8y5e7rgRB5W3t7cYjUZbNynS2zKZTBK1Q2EYpl6Es5r6tnFxcQHHcXSg0Gw2U/umIb6pSQs0pWYIRh82NlV/PqvVSv8dRREqlUrqRR/WOQUpgZ8w+8CZNyadTuejgrRer6drA+XmQsX9GdMCoNVqpQOQs7OzxP8Go7la+lX6vr92o/QWNRoN9Ho9/dtPuxmUa4Swrx12OhE9r08OHqOMh2Xu7u70+71eT9cY7O/v6wv0zs4OVqsVZrPZ1k2K9LaYF1+lFBzHgUppIhoOh2s12GkX6jRmoDAYDDAejzNrE+yaR0nr9XqZwQt48Xo0s18gAMxmM33OqFQqqf0kxdHRUWIO3YuLi7XzSRR3k7EFQZB6zO0+3OYT1qPRaO19xEFgWveL2WyWuSwPCmXVqEq3nrfKrNGtVCpr3VOKxWKiZvjy8hKtVisznYiemfpE4/FYAdCv8Xis1DdXf/2y81erVb1srkPkOI5SSinf91PLlc0sS3ZZlG2ZBoOB3pbv+4n1B4OB8n3fyP0Nx3ES6Y7jJPYpDEPV6XSMNSjLpmMk3ysA/X13Op3U/Paxq1ara2XFXleYZSutjKg4z2Aw0MuDwUCvYx7rtM9V8WfLsv0/h2GoVPwZ5ueb+yWyyuRb5ziO/p7M7y/r926m28edv02izyen0qp7iF44z/NQr9fXao6ekzQx2rVd9Lq5rruxtvk51Go1PXQPEdFL88nN1kRfUr1eTzRZfgnD4ZCB4xu0v7//RYfJ2TRkFBHRS8CaRyIiIiLaGmseiYiIiGhrDB6JiIiIaGsMHomIiIhoawweiYiIiGhrjw4ecxnzD7uui1w8r2wURal5YA3Ca5L0TevS6+S67tpxn0wmesYJ83ibc+BmzQ6TVkaieP5gc8YOmV4wa1YLxOVO8si65r6ZzO3Y/w+tk2NiP8mc9p2LtOMo5BxjvszjkXbMzHWyyoDneWv76Hne2rbSPtck+57L5VAoFHS67JtZZieTiS5DQRBklnX6tVqtlvq7c1039fvedKyI6OM8KniMogidTmftxxhFEaIoguM42NnZQT6fzxw3LWucPkm/ubl51BR19LIUCoXU47lYLPSME2Z5MufAnc/na2UN8SwT9tSCrutiMBjo5clkguFwCBVPA3d5eZnID2PWD/m8ZrMJxEPyKKUwHo91ECPzXUs5bbVaqQEOfWMymaBSqSSOCTZ858I+jqazszO9nlIK1WoV+Xwek8kErVZLH2sJ0oIgwP7+PlQ8paB9wyHsubSjeH5tx3F0mhx/+zNMlUoFYRhCKYV2uw3P8xDFs9qY5TyKZzKScR2LxSLm87m1NTJNJpPU4YzkGNvkOKhnnEub6C17VPAogd10Ok2ku66rp4ySk7ncyZs1Sa7r6h+6eZdunohvb2/19HRZtVP0eiyXy9SxEbNuLsyBkrNO+vP5PPFeEARrU5Y1Gg0dENzd3aVOMzefzxPTF3Y6nbUaKBjzXZsBRqPR4JzXGzQajdRpAjd952nHMYsEZYg/S8qYOXd1sVjUn5VVltKCj9PT09TyKce/WCym/m+FQkF/TrfbzQwI3XiOa1Or1Uote/SNxWKBer1uJ2M0GmVOQUpET+dRwePt7S0ODg5QrVb1XXQQBMjn89jd3UWlUgHiH/rOzg6iKNI1AioeXvLw8BAA9NzGSins7+/r2qn5fI5isYggCDJrp+j1M28M0i7UyJh/GimBwGg0Sg1Qpdl6sVikvm+TIKLVaiGXy6HX66HRaKDZbKbuI8vk45mBW9ZxTHN6erpW+4wNLRdBxkDcd3d3+pyEOJ+9flo5NJtJhX1Tjbisyo1yuVxOvREBgN3dXVxfXyfS6Bue56Ue68lkkjrHOOLrSy6XS23mJqKP96jgUWp88vk8bm5ugPhC++HDB1xfXycuBPl8HpeXl2t32MViEZPJBOPxOJF+cHCQWB6NRjg/P38wwKDXqdFo6BuDSqWyFoh5noder5dIQ0rAlnVhQVzrqZTC0dHRR9Vcy74tl0vdXCmBqNlUbQcU9Ok2Hcc0aQEdNswC1O/3U2uobm9vE8sfE8DaxuOxPl/ljP6SV1dXUEqhXq+j1+vh+Ph4LY9ZY0q/Jr/3tGO9WCzWgnAY37dSCuVymf1JiZ7Ao4JH+QEfHR3h9vYWk8kE7XYb+Xwe8/lc38HLDz6tLxGMGkwhQal5QYiiSJ8A2G/lbev3+/pmBHEgAaOZcJOLiwtdy3BycoJms7l2sWg0GmtBZ5rVapVYlloiGH0x2VT9tOQ73+Y4iqwbi1wulzo/dKFQ2OrmMwiCxA1rGIY6wLPLT1qztXlDFIbh2jlLmqtHoxFU3HeS/WY3u7y8xMnJCXK5HBzHwXQ6RaFQwGQyyTxWJrNWmYg+3ScHj+bJc3d3F/P5HM1mU9/NL5dL3VRtNg/Jeq7rJk6m9/f3gBEoSJo0GaWdnOltiKynpYfDYaKfK+I+Y2nsC7LULiqlMBgMMB6P0e124bquLntZfcnsWonZbKYD1ih+qGFT0GEHFPSwrO886zimka4tpkKhAJUy82qtVsNsNlsrN8LsC1ssFhM3rNK1RtY1+2ZKF50srusmmlTlQSF7v4WcDymp2+0mAvJqtar7UacdK9toNErt70xEH0l9It/31Xg81ssA9HIYhspxHKWUUuPxWKf7vq8AKABqMBiowWCg85vpnU5HKaXUYDBQvu/r7Uge2Ta9Po7j6ONolplOp5MoA8LMa78nqtWqnaRUXH7MMmluR/i+n1jf3D8pe5JuL5v7H4ahLre0zvz9wvoNZ33nwjyO9vEyzy9iMBislRvJa6eHYZhY1/f91DKm4v0UWeWp0+no/alWq/p9cx99309syzwvCvPcR9989/axCsMw87cv3699nLKOLRF9nJxKuz0jekU8z0O9Xs+sTXoOUkP6qf3j6OVwXXdjDfNzqNVqqU3uREQvwSc3WxO9FPV6Haenp3bys8p6MINen/39/cyuDc8h60lwIqKXgjWPRERERLQ11jwSERER0dYYPBIRERHR1hg8EhEREdHWHh082jN1mPNYbzMV1DZ56G1xXXftuGfNWx4Zc56nDfqLlHEiJS1nzQAjs8KkTSUnJE8ul9PjNpr7ZjLz2P8PPSyI57k3H05J+/5N5rHI5XKpA4enpZvrpPE8L7Ef8jkm2d/chmnusvLUajXkrLI9mUx0niAI1vb5vTO/S/M3m5WOjOMm7HME4vNE2veelU5E33hU8Jh2cpd5rBFPC7UJnyp8fwqFwtpcwYjLjQzwa5arSqWCMAyhlMJ4PE69AFxeXq5NZee6LgaDgV72PA/D4RBKKfT7/dQLw2Qy0Xl838fl5SUQP0ktny/BqExTKMMDtVotzg7ykfr9Pjqdjl52XVfP3OP7fuqxBoDBYKDLij1wuH3cYQwYLq805uxXrutisVigWq0m8pRKJb2NfD6ferxlthjJE0URonimLLNsy6Dzco4sFouYz+fW1t438/tut9v6N5uVnnXcPM9DoVDQN5RyDFzXheu6uLi4SAScWelE9GuPCh7NGWCEnCjtOzepUZAfJgDc3d1hb29P30V+yeEx6HnIbBC2tHH1oihCpVLRAVqj0cBsNrOz6eksRRAEaLVaiTzdblcHBzJ7ja3RaOg8UjbTTOJpCs3ZQRqNBqcq/AiTyWRtSsEoinTZyJp5ZZMoirC/v584bkEQoN/vJ/LZgiDA/v6+Xj47O1srj1EUJQLdDx8+pB5vcz05F6Zx46kJTa1W612eAwuFwtqNQhAEiZuAer2O+XyemY6M4ybCMMR0OrWTMZ1OEYahnZyZTkTfeFTweH19jWazqYM/8y7t5uZGn8RrtZquvTk6OtIn6sVigWazqWsarq+v9fr0vpjNkXIBuL+/T1zUEV9obPYFejQapQao4vr6OnOOW7nJWSwWehutVgu5XA69Xg+NRgPNZjP1IpVWE0/pFotFaoC4TfAkcxubtUgAcHp6ulYTeXd3lzhHpTU3393dZZYHU9qNi81sUpXgWG6mc7kcyuVy6s0H4pua93IONL+n2Wy29nuyb97kN56VvolMadjpdHSNMOJgMwxDXZMtstKJ6NceFTzO53PdfCABoDRD397e4uDgQN99mydKOVFHUaTv7uyTAr0v5ty0lUpl60DMzud53loTtimKokQTpU3mVD46OtK1IbJvy+VSN1dLkGk2XW5zIaPsGVzOzs5QKpV0UJFWU2SWkzAM9ZzSk8kkMXe0yfd9vY4Eb6bb29vEcpp8Po92u633zXEcOwtgzYfd7/d1MHx1dQWlFOr1Onq9Ho6Pj/W2hHT3eesmk4nunqCMYO5zSytz+Xx+7YZjUzoRfeNRwaP9ozfv4KUp0W7aNvtEwtjG7e1tZnMivS/9fh83NzfY2dnBarVKvLdcLhPLtouLCziOg1wuh5OTEzSbTd19QprB0y4itkajsRaYSo0R4n1USqU2XdJm5+fnOnA6Pz9HqVTS360EFEqptb5rtnw+r2uih8OhDjybzSZOTk4S3WPENjWMWaQGS8U3ynatuK3X663VJEpztfSN9H1/LZh96xqNBnq9ni4D9u8McS2sGdRLnqx0Inpenxw8pv1ozcDQDCzlxz6ZTDCbzZCPm3HMh2Xm83lmbRC9bZH1tPRwOMTu7i7y+Txms5kua5PJBO1221hz/QZGag6VUhgMBhiPx7oGoVKpbAw+XdfVn2U3n0bxAw6bAs+03wStMwPETqcD3/fXuhl4nvfgw3TmMZKaPRU/2DQYDHB2doaDg4NE38LRaLR2k/opLR6tVgv1et1OTjSLj0ajxLblf8o6z93f39tJb5ZZQ1upVNb6PBaLRZycnOjly8tLtFqtzHQiel6fHDzaNYpCAkNRLBb1U2uLxULXFJh9ImU9evukuXc6nepmXzn2UhNhXmCHw6GuSez1eqlNSdsEba7rIgxD/RlSDoMg0Bf8Dx8+6M8qlUqJ0QIqlYoOQorFoq45kd9AtOHhCNqO53n6+KxWK32szWMkQ97kcjm0Wq0HR3TI5/Mol8t6nf39/bXgze5r6LpuooxKYGMOIzQcDvXxdl1X1x6an4W4lg3x/3BxcaH/J2m2LpVKOs+mvrhv2XK51Ddl8lQ0AIzHY/1dzudz/T1lpWcdNyJ6es86t3UURbi8vEwNAIg+led5qNfrXzR4k+DBrkGj1yGrH+ZzqtVqDwbDREQvwSfXPG7LfIq2UqkwcKQnV6/XcXp6aic/q+FwyMDxFdvf31/rqvCcAo55S0SvyLPWPBIRERHR6/bZax6JiIiI6O1g8EhEREREW2PwSERERERbe7PB49dff40gCPD111/bbxERERHRJ3pU8GiOe5Yzxs57Sub2cxlz06b5L//lv+BXv/oV/u2//bf2W0RE9ErJeI729cAc2SNt1h4ZR/QtM8dKzRrn0vM8PbJAFM+5Li8h13aZnUvWk21OJpPU79hmzmFubsuUtQ8w1rfH8jX/z6zt2rFCoVDIzGvvg6xr7r+5D4VCQX+H9ue8F48KHgHAcRw9m0cYhlsVqG3JwZEJ6pVSehw08wCn+dGPfoTvf//7djIREb1ScgGX60G5XNbXieFwqNN7vd7aeqvVKnNO8rcgCALM53P9HURRlDr81Gq10gPlVyoVhGGoZ2ZyXRdBEKDdbkMphfl8DhjblrFQG41GYuamLOYc5vP5fC0IRMY+IA4Q+/0+Op1OIr/EGLLdtOH/giDQMw9JYNjv9+1sCdVqdS3OGI1GCMMQvu/j8vISiG9e+v2+/g57vV5mUPqWPTp4tMnUX2YULzWSruuu1VZKYTJnjsjFd46lUgkAcHJyorcj6wPQMwmYdyE5447rF7/4Bb773e/Ge0ZERK+ZPWXpycmJvoibA6zbrWCnp6dffBD4z+36+joRNLdarbW51YMg0HOyR1GESqWiJ1doNBqYzWaJ/KLVaq19f+VyOTUYNJnHJG0Sh0370O12UwfNXywWqQGjaTQa4eDgAIg/Vym1Ni3ppwiCAFEUJcb0LRaLWK1WiXzvwaODR5ny7eTkBI7joFgs6hpBpRTCMEQYhjoyD8NQz2eL+EfteR6m0yl834dSCo7jYDgc6jxS8yjkb7lTEHL3cnZ2hq+//hrT6fTBQkZERK/HcrlEpVJBLpdLnP+zBEGQOpXuW7NarbCzs6OX04Klu7s7PQXm/f29DiRFoVBITCncarXgeR7a7fZa8Le3t4ebmxvAatLOEqVM4Zq1D5vMZrNEZVFa7SoygtVNpDJKKq8QTyPqOA5KpRK63W5qEI0tp8h9ax4dPEqzte/7CMMQrutiOp0Cce2jNBNI9TfiOYTlbjGKIv1eqVRCLpdDGIZ6G9uQH4PjOLog/fZv/zYQF+r3eGCJiN6iQqGA2WwGpRRyKf3h7KkmR6MRZ3+K3d7e2kmplsulrq2bz+fY29tDznquwQxOu91ualAlPM9b60rwqSqVim5eVkrp5mmTXSYeIrWT8ur1eoiiCMViUadJc7X0uTWbqj82UH0LHh08imKxCMdxdJWz2X9AGX0INjHzqy3uKIUc4Gq1ilKpBNd1sVwu0e120e123+WBJSJ6ayaTCYbDoT6nh2Go+6IhDhyPjo70+0EQ4Pz8XNcoSUvZxwYXr8H+/j7u7+/18t3dXeJ9287Ozlpz63K5TCxLTdtisYBSCv1+P7OmL4sEWVJhZNpmH2z2satUKonlp2BvU5qrDw4OUC6XoZRa2+/35smCxyAIEIYhCoUCqtUqptPp2kHOInO6PvZhm6urq0QAS0REb4vZj0+aTREHKUdHR2v90cwKCWkpe4sVCoeHh4mHQobDIer1eiLP3t6e/tvuPzqZTNBut/X7UtOW9V09FJzCuKZndR97aB/S5PN5HcBGUZQaZ2Tt87bOz88T2yiVShsrwNL24c1Tj+A4jgKQeCmlVBiGa+mDwUB1Oh0FQIVhqNQ3VYuqWq2mbqtarSrf9/W6ksdxHKWUUtVqde0z5DUej/U+EhHR6+Y4jr5umOd+uX6kXXPSrgNy/Xir5BprXjdNvu8n0uUaCyDx3YzHY/3dyrKdp9Pp6GMyHo9Tv2/7mMhndzodnT9rHwaDQWJdc3/M9DTmvqWVjTAMVRiG+vPsz5J1VVzezP9Nyp/5PZr79l7k1Me0DxMREdGrZfcJ/VS1Wk3Xxnmeh3q9/ugav6cSBAHu7u6epa9rEAS4vr7OrF19q56s2ZqIiIhetv39/Y/ut2ibTCaJB1VWq9WLCRwRd1fYZhzKp9Dv999d4AgArHkkIiIioq2x5pGIiIiItsbgkYiIiIi2xuCRiIiIiLbG4JGIiIiItvbo4LFQKCTmtAyCIDFtD1GaIAjWZnqIoihzzlJ5b9NTgjKnujC3lZaWNYfqZDLRecxtSpo5mL3rurq8e563cf/oG5uOs/n+pkkD0vLItGE5a+owZJQFk33szG3JZ9RqtcR20gYGtv83Ieua58rJZKLLF8+bRPSaPCp4jKJIzzMq7u7uEqPYE9k8z0O/30en00mkn56eIgxDPRuEzJYwmUxQqVQwGAwS+U1RFOmZihDf1JgzSwiZYUIplToNVhRF6PV6Ok8+n8dkMsFkMsF4PIZSSg8BYc+e0O12EzM8ULqs4yxc1914rJGSR46FbPPi4kIHd1llwbRarfT0aTJTieQ3x4oz9zttaJJKpaLzjMdjuK6LKIr03LmyT1LOZJy8YrGI+XxubY2I6GV6VPB4f3+PVquFQqGgT4qLxQIHBweAVYNj3nHT+9btdlOnejo6OsLp6SkQX8AlGGw0GqmBnuny8hKHh4dAXItjByTburm5Sax7fHyMxWKRyCOazebaYLtpAQUlZR1nxMfOHD8uTVqexWKBDx8+6OV2u42bm5utykIQBNjf39fLq9XqkwYXjqIIlUpFl4FGo5E5Varrumvj0LVarbVaWCKil+hRweP19TV2d3dRLpf15PSz2UzPPTkcDvVdepQxByWRaDQaODo60s19HzPwqllzdHd3h2azqW9czKbnMAx1eloz4e3tLXZ3d/Xyzs4OEO+bbLPX68F1XYzHY2PNbzzFALxv3abjPBqNHgzc0vJI7Z6Q1o9NZUHc3d3pGw/E89qaTc/mectxnMzt3N/fJ4JQxLWe+XxeN2eXy2VMJhPk83ldXsXu7m5i3mYiopfqUcHjfD5HsVjE4eGhbnKRfmSj0ShRu8QaGXrIZDLBYrHQTYsfU1tt35j4vq9vXOSCDaNZUymF+Xz+UYGerHd3dwfEgaYdSLDLxsOyjrPneYnawzTb5LFllQVxe3ubWO50Ojp/GIZ6/66urhLbSbv5yCLr1ut19Ho9HB8f6+BUyI0KEdFL96jgURSLRSyXSwRBoJug7Is5GEDSAxaLhW4G/phaxzQS4AFI1CqZzOZSsbe3l1j3/v4+8T6M5urVaqUDibTyTumyjvPFxYWu2Ts5OUGz2VwL0LLySO2eMAPCbcqCydxOPp9PPW+lbWdnZwer1SqRZne3kObq0WgEpRR8318LZomIXrpPDh7tZqJKpYJ+v69rXsyTpud5a805RDa7f5i9vIlZFg8ODhL9yUajUaIpWlxcXKzV9hwcHKDX6+nl0WiE4+NjvVyr1eD7vl622bVYtM4+rrK8XC51zd5gMMB4PF67icjKY/ajRHxsG43GVmUhrbZYAsismunRaLS2Xj6fx2w20+tOJhO02239vvTvtJurRdqNChHRi6Q+ke/7ajweJ5YBqDAMlVJKjcdjBUABUJ1Ox1iT3rvBYKDLBgBVrVaVMsqQvHzfV8oqSwCU4zjWFr/ZpuSXZck/GAyUStmOmd9xHF12zXXNsjsYDNaWzf1XSiX+pnRZx9k0GAz0+cX3/dTv1cyj4u9etmmmp5UFk+/7ifQwDHV+KWtmmr2dTqeT2Fd7XUm3lyWfsMswEdFLlVPS8YjoFYuiCJeXl2s1Vc+tVqulPklOL5vrumtPzj83lh0iei0+udma6CXJ5/NffJw8z/MSTd70enzpp+TN/uJERC8dax6JiIiIaGuseSQiIiKirTF4JCIiIqKtMXgkIiIioq09Knis1WqJTuaFQuGLdjqn18F13bXp3YIg0DNuyCxFiJ+iNqeKSxNFUWI2mkKhsDa1nDnPei5jakLEZVryyODN5romc/v2/0MPk2Mu54xtj1Ha8YVVVswy5HmeTs+atcjzPL0fZlk0j6tZNuzPFlnlVdY1P38ymejtB0GQ+f8SEb00jwoey+WynovV8zy02+3MAXCJEF/4j46O7GSUSiU9+HO73dYX0kqlgjAMoZTCeDxOvfhfXl7qKesmk4meU933fT3nOgAMBgP9GWlD+sggzpKn2WwCgN7eeDzWAaUMFi6Dk7daLc4U8pH6/T46nU4i7aFjtOn4VioVva5MUhAEAebzuU6Poij1BtecG11mf1FKrc1cI2VR3rOllVeZUEE+H3GQ2ev19NA8xWLxi48WQES0rUcFj/V6HRcXF4iiCPP5XJ/szRoEudibd/O8w36/lsslGo1GIi0IAgwGA71cr9cxn88RRREqlYq+SDcajbXZSRDPsW7mkSDg7u5ubRaQTcwyjHiO47RAYzKZIJ/PJ26UGo0GFotFIh9lm0wmnzSsUdbxlaDSdn19nficVqulb3hFEASJGbDM8R4l8NvGtuUVxjSFplarlVreiIhemkcFj3KSrFQq+oQbBAEWi0XiTh9xLcOmGgV6v+wgT8rV/f392rSWZnOksC/u0qy5WCwSgerJycnGJkebfHar1UIul0Ov10Oj0dBzW9u22SZ9Y7FYpLZSbHOM0o7v7e0tSqXS2k3rarVKTEFpT02IuPyZc1WbN7p2gCvzaqd1U8gqr1J7mcvlUC6XU28+EO+bHdgSEb1EjwoeAaDdbqPdbusL+Gg0wvn5uT75ykW2XC6nnnCJHiMtwJD5j4+OjnQQ0Wg09M1LGIaoVCr2aplk3eVyqZurJYAxm6rtIJbSZc3msu0xSju+sJqUsWFeaps9H3mxWNTb6ff7ejtXV1c6vVwuf1QLiqxbr9fR6/VwfHysz5HCnmediOilenTwuFqtUK/X9XIURfoEq4x+Qd1uF71eL3GyJEJc42JewCUg3NnZwWq1MnJ+Ezhsq9FopAaX+Xw+tQbTZn+21BjBqElnU/XHM28uz8/PUSqV1vqLbnOM7ON7f3+v/5Z+tfv7+4n0u7s7/fc2er1eam2gWVMptimv0lwt/Sp931/734mIXrpHB492nyD7ZIn4hIn4jr7T6aRe0On9KhaLODk50cuXl5dotVrI5/OYzWa6vEwmE7TbbWPN9do+eUABG2qestLt2qTZbKabFqP4AYe0GjPBcr0d8+ay0+nA9/3UfrBpso7v4eEhRqORXh4Oh9jZ2cHh4SH6/X4i3bzZBbDWL9ZsIRmNRmvvZ6U/VF7lgSy7uVqYQS4R0YumHqlarSaWx+OxAqAAKMdxlFJK+b6v0waDQSI/vS+O4+iyAECNx2OlrHJjlimz7Eh5spn5wzBMbN/Mk7Yd3/cT65v75/t+It1eNvc/DEPV6XT0+7SdTqejv9dtjlHW8VXxtiRdjoudnnb+8X0/kT4YDHR+Oab255r5O52O/rys8ur7/tqy/T8MBoNEGSMieqk4tzW9ep7noV6vr9VCPidperRr0Oh1yOqH+ZxqtZoeuoeI6CV7dLM10ZdWr9dxenpqJz+r4XDIwPEV29/fz2wqfw5BEKBcLtvJREQvEmseiYiIiGhrrHkkIiIioq0xeCQiIiKirTF4JCIiIqKtMXgkIiKiZ8dZ516vRwWPMkWb+XpooORarZaYUoyIiGhb5vUmbRYi13V1uswpbr7e8vXHvCZnjR5gBmye5z34vaTlMed/N6/5hUJBf+42gWHa8Gqu6+ptZ00Buk0ez/P0vpj7m1ZmkFJWhHyn5ud4nqe/i8lk8i5niXpU8AgAjuNAxXPRyvJDAWQaObhZBYGIiEiuOSqeb94UBAH29/f1cj6fT8xo5Pt+4v23xHVdPW1qGIZotVp2FgRBoNODIMB8PtffTRRFawFnVp7RaIQwDOH7Pi4vLwHj82UGpV6vt/F6PplMcHx8vJaGb0bOh1IKFxcXa/HENnkQTy8r+1IqlXT+drudul+VSgVhGEIphfF4DNd1EQQB2u02lFKYz+eA8Z3IuLCNRgPD4dDa2tv36OBR5PN5jMdjIJ5ezo7izbsQc27bXC6HyWSCUqkEADg5OUEuvsMx89iFmoiIyDQajdDtdu1kbTQarU1P+VZEUaTHmpW54e2gajQa4eDgAABwfX2NXq+n32u1WmvzuG+TB3FAZX4+4mln7bneTcPhcG2qzsVigQ8fPujldruNm5ubj85j3kQEQYDBYKDfq9frOhAUURShUqnomtBGo4HZbJbII1qt1tqEAuVyee27fuueLHgEoAvlarVCpVLRd4i+72M6nSaqdsfjMXzfB+LCIH8PBgMopTCbzVCtVvXdgl3IiIjo/QnDUFcqmDVIaTVZJrm4pzWVvkVZ/6ekr1Yr7Ozs6PTd3V0j1zey8hwfH8NxHJRKJXS73dSACsZ3bouiKHX/7HR7/nhsmefu7g6Hh4f6bzNP2ufe39+v1UgXCgUUi0VcXFwgl8uh1WrB8zy02+21bezt7a0FsG/dkwaP4le/+hXCMNQ/cqlVXCwWOk+j0UCxWITjOKkRfqVSwXQ6zeyfQERE749UKEhTorRKLRaLjZUMl5eXG4PL9yArmPtYxWJRHwNprpbWQjOgt4MscXNz81mPxe3trZ30yZbLJZRS2N3dxXw+x97eHnJW38m0wPute9LgUSJv+SI7nU7ih552Z5Ll7OwsEYCy2ZqIiEwypeNkMkl0h5Lrhmk+n28MLt+ahwLF/f193N/f6+W7u7vE+9gijzRXHxwcoFwuQym1salapDVZIw42zf1OCwK3yWPa3d1N5En7XnZ2dtb22+5PK7Wri8UCSin0+/13HZc8afDYbDaBuA+C4zg4Pz+3s2hBECAIAoRhiEqlYr8NxIVEmrPT+lkQEdH7dXFxgZ2dHTQajURFhXSZEpPJJPUBkrckn8/rrmFZTfTm8uHhIfr9vl4eDodr/UEfylMqlXB1daWXbWmBmt3sbDo6OsLp6alevri4SPSj3DaP2UxdLBZxcnKily8vL9fKQj6fx2w20/s7mUzQbrf1+1K7mrXfdlD9LqhHcBxHAUi8hO/7a++Nx2NVrVbX0oWdnpaHiIjeF8dxVBiGajweJ64Lvu/bWZWK85uq1Wpi+a0yv5swDO23VafTSaR3Oh2dfzAYKKWUCsMw8f2l5VHxdzoejxPLaXls4/E487gpYzuIYwaVsk9peUy+7yf2wyw35j5Vq1W9L2bMYn6WxC3msp3H/l7fg5wyb8+IiIjoTQqCAHd3d2s1dZ9DEAS4vr5ee/rddd2P6sL2qZ7rcxCPabmpBvYtetJmayIiInqZisXis41J2O/31wLHtGbsz2V/f/9Z+iS+hy4RaVjzSERERERbY80jEREREW2NwSMRERERbY3BI9EzkPHQiIiIXrtHB4+FQgGu6+rlIAhSJx2n983zvNR5yieTiU6XchQEgU5Lm4ZMRFGUKHtZzO2YzM8x514XtVptbT9g7bMpl8vpANHc3p/+6Z/iV7/6Ff7gD/4AX3/9tbHG+5L2XZvfZc46zoVCQadnBd5mHnNd89hJeTPLoP2eyfM8nZ5VRqIo0ukPzYIl/6NZNnJGeZc8sn2eQ4nopXtU8BhFEQqFQmJ6QXseSaIoirBarfQAvvJkWhRF6PV6Oj2KIgRBkJj6SimF8XicWqYuLy/x4cMHOzmhVqvB9329HblgR1GEfr+vPyNtmIWrq6vEflSrVSAeKFe2J4PyyufIILKtVku/93u/93v4/ve/DwD4u7/7O73998R1XYRhCKUUyuVyYp57mc9eKaWfzpRBeZVS8H0/9SZhMpkkjuF8Pgfi4KvVakEphTAMMRqNAADdbjdxPDudTmLeXrFarfTsF6VSSec3B2GuVCr6/2m32xuDveFwqMuODJCs4vIuab1eT5fBYrGo/xciopfoUcHj/f09Wq0WCoWCPhEuFgscHBwAGbVK9HbJ8bbl8/nEeFtSU3N/f58Yxb/X66XOJDQcDlPHJZvP5zpYKxQKmRdwCQQajYYup5eXlx81BlgQBHoqNNtkMkE+n09Mt9VoNPRc7lEU4Q//8A/xt3/7t/jWt75lrPl+nJ2d6WOVdiNgi6JIH/O0acwA4ODgAL1eD4iPjygWi3rd+/t77O/v6/dMEsiZgiDQ+aMoQqfT0e99+PBBH9NCoaDX7Xa7mcGe53kPljPXddeGT2m1Wqm1okREL8Gjgsfr62vs7u6iXC7j8vISADCbzZDP5xEEga6hkbtsuXDT2yRThMkNQ1owZ1+wsy66YlPQZm5H5iGVzzbT08rdarWC4zgb99VkjlnWarWQy+XQ6/XQaDTQbDZTAwT53Hw+jx/96Ef44Q9/iL/8y7+0s7075g0mAJycnOjjYB6rh4InmVIsl8uh3+8nao+laThtrDnEQZ0Enqa7uzscHh7qZbNVxTSdTu2kNebxF/l4Xt5cLqdrYO0bD8Tz8abdSBERvQSPCh5lovnDw0MdBEit0mg0SpzM7Tt8ervkhmG1Wq3VOJuj/heLReTzeR04lEqlRF7E5ciebxUZg81Ks2QYhjoQGQ6HiSDRnOzebMKcz+ep20RKwCtB8nK51M3V0vfObI6VdTzPg+d5+LM/+7NE0PQeSc2efDfmnMTmPPdnZ2colUr6uKUFa1EUoVKpQCmFXq+X6HsoXQ56vV5qf1Y5d9lub2/13/l8Hu12W++D4zj6vfF4rNNzKbXtAHB6epoauMq+1et19Ho9HB8fr20nrTmdiOileFTwKIrFIpbLZaKWKO1CzADyfZAL4dHRUaJGrlarrdX2nJ2d6eDB7tuYVnOziTwQIQGF1OiYQaIZYJhlNKt2E3EQkNa3UmqNENdMKqV0s6ap2+2i2+0m8r9HQRBk1gQiPs5yfPJxv0B5SZ9B0+npqb4ZKBaL6Pf7a7WVaQHi5CNmhDD7Sfq+r5u07aDXPq5RFOH8/DwR/DqOk9g/aa4ejUZ6++bNBxHRS/XJwaNdG1OpVNDv9/XF36zh8Twvs98RvR3S51EuqmY/Rdd10ev1Ui/motlsJta5vLzE8fFxIo+wL9YSdKi4RjCN67o6aDg6OtJdLQDg4uJibZvCLuuS1uv1UpurRdoN1HsVxQ8opT2YJOzAT3ielxncm+tI4G4+LR1F0Vp5yOpDiwf6Y7ZardRacNd118ppWvAbhqEu//I/Zf0e7u/v7SQiopdDfSLf99V4PE4sA1BhGCqllBqPxwqAAqA6nY6xJr03UjbMl+/7SimVSJOyI6rVamLZ9tD7SinV6XT09geDQeK9arW6tj++7ye2OxgM9Hsmx3ES6Y7jKAD6NxGGIcu9wfyuAejv2Ex3HEfnHwwGOt38HsMwTBxHc5tZ6Wa58n1/rRyY7PfluJplRFn7bZ4HO51OYllUq1W9H77vJ/5X8/chssodEdFLwLmt6dXyPA/1en2tVvAlkObHrBou+jRSo5hVY/cUzH65X0qtVttYS0tE9CV9crM10ZdWr9dxenpqJ78Im5pG6dONRqPPGjgCwP7+fmYT+nPYNMIAEdFLwJpHIiIiItoaax6JiIiIaGsMHomIiIhoawweiYiIiGhrDB6JnlAQBBzfkYiI3rRHBY+1Wi3xVGKhUPiiTynS6+R5XmLmF8RBmMzOYb8noiham/4wzUPTyCEjj8xYY89KY+Yxp7770z/9U/zqV7/CH/zBH+Drr7/W6fTx0sqETAFpHychx8tk5s8K6s1j6Lquzp8137mUAbNsmOXV/BzznJg2TSIR0Wv0qOCxXC7j+voaiE/c7Xb7sw+jQW+LXFDtQKFUKunZOdrtduqF/PLyMnXaQJPneQjDECqe/jBt+resPPP5XH++BACVSgVhGOp1y+Wyfu/3fu/38P3vfx8A8Hd/93c6D32crDKBb0bR1i9TFEVYrVaJ+adl3nEVT/2XdqMxmUz0lJly3GX7FxcXqQGnTH+pjNmMRqMRwjCE7/t65iLXddHv9/U5sdfrpZZjIqLX5lHBY71e1yfY+Xyu56yVaepyuZw+YZt35jyBvm+FQkGXi6urq7W5joMgwGAw0Mv1eh3z+TyRB3FwlzZAuFkD1e12dZ7b21vs7u5aubfLA+MGyfzMer2ub6CiKMIf/uEf4m//9m/xrW99y1iTPkZamXjI6elp6sDeErgVi8W1aQoRj8cpeRaLReJmpN1u4+bmxsj9zbltOBwm0tJI9wVzrM9isYjVapXIR0T0Gj0qeJSLaKVS0SfuIAiwWCz0nbncuff7fZ32sRcGev3Mm4fZbJZ6oRd3d3eJOYbTAkSkpEuzJuLaIyGfiw0zk6TlKZfLyOVymM/n2NnZwcXFxVrZzefzOrDN5/P40Y9+hB/+8If4y7/8y0Q+ehr2TSnisnV0dJTIF6XMR55Wk2nmsddJm+f69vYWpVJpbT+Oj4/hOA5KpRK63S5arVZqGU+rySQiem0eFTwivjs3a2NGoxHOz8/1yVVOoOVymX1+3qnJZJK4ebAv6p/CvghLUJp2c2I2c2bVeqfl6Xa7UErh6uoKlUoFs9lMl2uzb6/8P57nwfM8/Nmf/RkODg70+/Q0lstl4jhJM/NoNPrk2XzscrQN6eIg+xEEAYrFok6T5mrpP2mWuaco+0REX9qjg8fVaoV6va6XoyjSJ1EzUOh2u+j1erp2h96PRqOhj31uw4MLYnd3F7e3t3r5ofyIg79KpbJ2sTZ1u93U5m9TWh5prr65udF96EajUSIP4nW73S4mkwmDhM9MahqDIEjcrIZhqM8xdrlJa7Y25fP5xDpmGTTd39/rv+0aT2muPjg4QLlchlKKTdVE9OY8Oni0m3rSTtDStFMsFtHpdNZO6vT2mTUzlUol9eEFUSwWcXJyopcvLy/RarUSedKCM6mZQlwTCesJ16ygblOeIAgS/XnTsDw/v+FwiN3d3US5UkrBcZzETavUEAdBgEqlYm0lWY6Ojo4Sc6VfXFys1WgeHh4mbhyGwyF2dnb0cqlUwtXVlV62sawQ0ZugHqlarSaWx+OxAqAAKMdxlFJK+b6v0waDQSI/vW/ValWXDbN8mOXILmMiK91klj0pjyrefqfT2ZhHfROJqjAME8sAlO/7SsXrskw/rbQyYR4jAGo8HturKaVU4viFYZhYJ41dhszPls/wfT+Rr9PprOWRde1l2X8zjYjotcspqaohemU8z0O9Xk+tTXwunufh8PAw80Ecetkmk4muwfzcgiDA9fX1xlpsIqLXgMEjvVpRFGUO0fJcarXaxmZKevme6xg+1+cQEX1uDB6JiIiIaGuPfmCGiIiIiN6P/x/QGsoXlzt8iwAAAABJRU5ErkJggg==\\\"\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cbr\\u003e\\u003c/p\\u003e\\n\\u003cp\\u003eCategorical variables presented as counts with percentages. OS: OncoAppstore. CS: cancer survivors. Significance levels: ***p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001, **p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.01, p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.05. \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e\\u003c/sup\\u003eP-values in rows of category names indicate overall significance of the variable. P-values in rows of different categories indicate significance of a category compared to all other categories. P-values for categorical variables are based on Chi-square tests and Fisher\\u0026rsquo;s exact tests (see Method, section Statistical analysis). \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e\\u003c/sup\\u003eBenefits: unemployment-, disability-, social assistance- or other social security benefits). Only individuals aged 67 years or younger were included in this analysis (OS users n\\u0026thinsp;=\\u0026thinsp;281, GenPop: n\\u0026thinsp;=\\u0026thinsp;131.782). 3Debts: Undergoing debt restructuring and/or being a health insurance defaulter. All values smaller than 10 and the corresponding percentages, together with the value and percentage of another category (i.e. \\u0026lsquo;No debts\\u0026rsquo;) are reported this way in accordance with SN guidelines to prevent disclosure risk.\\u003c/p\\u003e\\n\\u003cp\\u003eWhen considering income and benefits (Table \\u003cspan class=\\\"InternalRef\\\"\\u003e3\\u003c/span\\u003e), the distribution of income significantly differed between users and the GenPop (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001). Users had significantly more often a high income and significantly less often a low income compared to the GenPop (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001; p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001 resp.). Furthermore, receiving benefits or having debts was not significantly associated with OncoAppstore usage.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eTable 4.\\u0026nbsp;\\u003c/strong\\u003eStudy characteristics and results of the analyses of the healthcare expenditures and usage, and proximity of care variables (N = 261.684)\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cimg 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\\\"\\u003e\\u003c/p\\u003e\\n\\u003cdiv class=\\\"gridtable\\\"\\u003e\\n \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\"\\u003e\\u003cbr\\u003e\\u003c/div\\u003e\\n \\u003cdiv align=\\\"left\\\" class=\\\"colspec\\\"\\u003eContinuous variables presented as mean with standard deviation, and categorical variables presented as counts with percentages.\\u003c/div\\u003e\\n\\u003c/div\\u003e\\n\\u003cp\\u003eOS: OncoAppstore. CS: cancer survivors. Significance levels: ***p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001, **p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.01, p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.05. \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e1\\u003c/span\\u003e\\u003c/sup\\u003eP-value in rows of category names indicate overall significance of the variable. P-values in rows of different categories indicate significance of a category compared to all other categories. P-values for categorical variables are based on Chi-square tests and Fisher\\u0026rsquo;s exact tests (see Method, section Statistical analysis). P-values for continuous variables are based on Mann-Whitney-U tests. \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e2\\u003c/span\\u003e\\u003c/sup\\u003eData on primary and specialist mental healthcare expenditures were not yet available for 2022, explaining the high number of missing values among OncoAppstore users (i.e., those diagnosed in 2023, for whom healthcare expenditures were calculated for 2022). \\u003csup\\u003e\\u003cspan class=\\\"CitationRef\\\"\\u003e32\\u003c/span\\u003e\\u003c/sup\\u003eAll values smaller than 10 and the corresponding percentages, together with the value and percentage of another category (i.e. \\u0026lsquo;No receival\\u0026rsquo;) are reported this way in accordance with SN guidelines to prevent disclosure risk.\\u003c/p\\u003e\\n\\u003cp\\u003eRegarding healthcare expenditures (Table\\u0026nbsp;\\u003cspan class=\\\"InternalRef\\\"\\u003e4\\u003c/span\\u003e), total healthcare expenditures (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001), general practitioner expenditures (p\\u0026thinsp;=\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001), hospital expenditures (p\\u0026thinsp;=\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001), and pharmaceutical expenditures (p\\u0026thinsp;=\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001) were significantly lower among users compared to the GenPop the year before diagnosis. Primary and specialist mental healthcare expenditures were significantly higher (p\\u0026thinsp;=\\u0026thinsp;.007 and p\\u0026thinsp;=\\u0026thinsp;.004 resp.) among users compared to the GenPop. There were no significant differences in paramedical care expenditures. Receiving care under the Social Support Act and receiving care under the Long-term Care Act were negatively associated with OncoAppstore usage (p\\u0026thinsp;\\u0026lt;\\u0026thinsp;.001; p\\u0026thinsp;=\\u0026thinsp;.001 resp.) suggesting that OncoAppstore users were less likely to use these additional forms of care. Regarding the proximity of healthcare facilities, the groups did not differ significantly in either the distance to the nearest GP and hospital or the number of hospitals and GPs within 5 kilometers of their homes.\\u003c/p\\u003e\"},{\"header\":\"Discussion\",\"content\":\"\\u003cp\\u003eThis study aimed to compare users of the OncoAppstore with the general population of cancer survivors diagnosed between 2018 and 2022 based on sociodemographic, clinical, income, and healthcare usage factors.\\u003c/p\\u003e\\u003cp\\u003eRegarding sociodemographic and income-related factors, OncoAppstore users tended to have higher educational levels and incomes, were more likely to be female, younger on average, and more often of Dutch origin compared to the GenPop. These findings indicate that the early uptake of the OncoAppstore is predominantly driven by individuals with higher socioeconomic status (SES), consistent with prior research. For instance, Weiss et al. (2018) demonstrated that individuals with higher SES are the first to adopt and benefit most from innovative technologies in health\\u003csup\\u003e\\u003cspan citationid=\\\"CR60\\\" class=\\\"CitationRef\\\"\\u003e60\\u003c/span\\u003e\\u003c/sup\\u003e. Other studies have shown that individuals with lower SES are often harder to reach for participation in digital interventions. In particular, digital self-management interventions are used less frequently by those with lower educational levels and adults over 65 years old\\u003csup\\u003e\\u003cspan citationid=\\\"CR61\\\" class=\\\"CitationRef\\\"\\u003e61\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR62\\\" class=\\\"CitationRef\\\"\\u003e62\\u003c/span\\u003e\\u003c/sup\\u003e. People with lower educational levels and older people often have less e-health literacy (i.e., the ability to use emerging information and communications technologies to improve or enable health and health care)\\u003csup\\u003e\\u003cspan citationid=\\\"CR19\\\" class=\\\"CitationRef\\\"\\u003e19\\u003c/span\\u003e\\u003c/sup\\u003e. Cancer survivors with lower digital literacy have less access to and tend to gain less from online resources than those with higher digital literacy\\u003csup\\u003e\\u003cspan citationid=\\\"CR19\\\" class=\\\"CitationRef\\\"\\u003e19\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR63\\\" class=\\\"CitationRef\\\"\\u003e63\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eRemarkably, a larger platform from a well-known source that cancer survivors frequently engage with, where costs are eliminated and awareness is widely spread, still seems to attract the same type of cancer survivors as observed in previous studies on e-health interventions. However, it is important to clarify that the OncoAppstore is not meant to replace specific forms of care or reach all potential users. Its primary purpose is to enhance access to evidence-based self-management interventions for cancer survivors who may benefit from them. While the OncoAppstore currently appeals mainly to a specific group of patients, those who use it may reduce their reliance on formal healthcare services. This could potentially free up capacity among healthcare professionals, allowing them to focus more on individuals who are less able to address their challenges through digital self-management interventions. Whether this shift in healthcare utilization actually occurs should be explored further in future studies.\\u003c/p\\u003e\\u003cp\\u003eOur findings showing that users have higher primary and specialist mental healthcare expenditures in the year before diagnosis compared to the GenPop, is likely because many apps on the platform focus on mental well-being. This focus likely attracts individuals who were already seeking treatment for mental health related issues. To fully interpret these and the other significant findings on healthcare expenditures, additional information is needed.\\u003c/p\\u003e\\u003cp\\u003eIn contrast to other research showing that cancer survivors in rural areas use informational support applications less frequently, the current study found no association between OncoAppstore usage and the distance to healthcare services\\u003csup\\u003e\\u003cspan citationid=\\\"CR22\\\" class=\\\"CitationRef\\\"\\u003e22\\u003c/span\\u003e\\u003c/sup\\u003e. This suggests that in the compact geography of the Netherlands (i.e., a relatively small country with limited travel distances), OncoAppstore usage is not influenced by healthcare service proximity. This could be different for larger and more widely spread countries.\\u003c/p\\u003e\\u003cp\\u003eThe current study has several strengths and limitations, which will be discussed below. An important strength of the study is the use of national registry data of SN, NCR and DHD. These data are often representative of the entire population, reducing selection bias. Additionally, the data are well maintained, ensuring high quality and accuracy. Furthermore, the OncoAppstore is incorporated in the well-known platform Kanker.nl, with a large reach among cancer survivors, aiming to promote the usage of online interventions. It provided a very interesting case to investigate the effects on usage among different types of cancer survivors.\\u003c/p\\u003e\\u003cp\\u003eThere are also some limitations. First, there are some shortcomings in the data as mentioned in the Method section. A total of 368 individuals used the OncoAppstore and consented to the use of their data for scientific research. This number represents a subset of the 3,620 OncoAppstore users (further detailed in the paper by de Korte et al.)\\u003csup\\u003e\\u003cspan citationid=\\\"CR38\\\" class=\\\"CitationRef\\\"\\u003e38\\u003c/span\\u003e\\u003c/sup\\u003e. However, some of these 3,620 users are relatives, cancer survivors diagnosed before 2018, or individuals who only requested the health credit without purchasing an application, and are therefore excluded from our target population. The relatively small sample size and the self-selection may have introduced bias, particularly if certain groups\\u0026mdash;such as women and individuals with higher education levels\\u0026mdash;were more likely to consent to data sharing. Furthermore, data on the year of diagnosis and cancer type were obtained differently for users and the GenPop. NCR data were used for users, while for the general population (GenPop), NCR data were unavailable to match a control group, so DHD data were used instead. Specifically, hospital admission records from 2018\\u0026ndash;2022 with a cancer diagnosis were utilized to identify cancer survivors in the GenPop and determine their year and type of diagnosis. However, some individuals may have been diagnosed with cancer but not admitted to the hospital during this period, for example, due to a wait-and-see approach to treatment. These factors could have impacted the validity of the data. Finally, the results were not adjusted for multiple testing as it concerned explorative research. Some p-values were close to the conventional threshold of 0.05, which calls for cautious interpretation.\\u003c/p\\u003e\\u003cp\\u003eBased on the findings of this study, several implications for policy and practice can be identified. It is important to recognize that for some cancer survivors, digital self-management programs may be (currently) less suitable or perceived as not fully addressing their needs. However, for those who could benefit from digital interventions, various strategies can be employed to engage a more diverse group of users, particularly those who are currently less involved with the OncoAppstore. Active and tailored recruiting strategies, such as face-to-face or personal contact, can be effective as they help create a sense of security and increase engagement\\u003csup\\u003e\\u003cspan citationid=\\\"CR29\\\" class=\\\"CitationRef\\\"\\u003e29\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR62\\\" class=\\\"CitationRef\\\"\\u003e62\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR64\\\" class=\\\"CitationRef\\\"\\u003e64\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR65\\\" class=\\\"CitationRef\\\"\\u003e65\\u003c/span\\u003e\\u003c/sup\\u003e. Another promising strategy might be to use the social (i.e., relatives and healthcare professionals) and existing local networks (i.e., community centers) of people with lower SES\\u003csup\\u003e\\u003cspan citationid=\\\"CR66\\\" class=\\\"CitationRef\\\"\\u003e66\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR67\\\" class=\\\"CitationRef\\\"\\u003e67\\u003c/span\\u003e\\u003c/sup\\u003e. However, reaching individuals with lower SES remains challenging as there is little evidence for effective strategies to reach these individuals\\u003csup\\u003e\\u003cspan citationid=\\\"CR62\\\" class=\\\"CitationRef\\\"\\u003e62\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR68\\\" class=\\\"CitationRef\\\"\\u003e68\\u003c/span\\u003e\\u003c/sup\\u003e. Additionally, offering information and applications in multiple languages ​​and providing content in various formats (audio, video, text) on the OncoAppstore could help increase usage among culturally and linguistically diverse populations\\u003csup\\u003e\\u003cspan additionalcitationids=\\\"CR70\\\" citationid=\\\"CR69\\\" class=\\\"CitationRef\\\"\\u003e69\\u003c/span\\u003e\\u0026ndash;\\u003cspan citationid=\\\"CR71\\\" class=\\\"CitationRef\\\"\\u003e71\\u003c/span\\u003e\\u003c/sup\\u003e. Furthermore, ensuring that community sensitivities are considered and using culturally relevant examples could further enhance engagement\\u003csup\\u003e\\u003cspan citationid=\\\"CR69\\\" class=\\\"CitationRef\\\"\\u003e69\\u003c/span\\u003e,\\u003cspan citationid=\\\"CR72\\\" class=\\\"CitationRef\\\"\\u003e72\\u003c/span\\u003e\\u003c/sup\\u003e. To attract individuals with limited digital literacy, it would be helpful to increase their digital literacy through (culturally tailored) educational programs and the OncoAppstore interventions should be easily accessible and user-friendly\\u003csup\\u003e\\u003cspan citationid=\\\"CR19\\\" class=\\\"CitationRef\\\"\\u003e19\\u003c/span\\u003e\\u003c/sup\\u003e.\\u003c/p\\u003e\\u003cp\\u003eSeveral directions for future research can be identified. Firstly, future research could follow-up on the current study by including larger groups of OncoAppstore users, particularly those who used it after the data collection period of the current study to examine whether uptake patterns in this group are different from the group of early users. This will provide more comprehensive insights and determine if early users differ from later users of the OncoAppstore. Future research should also examine the effects of the OncoAppstore on cancer survivors\\u0026rsquo; (perceived) health outcomes, quality of life, healthcare utilization, work ability and lifestyle factors. For example, longitudinal research could examine these factors before and after OncoAppstore usage. Additionally, further research, including qualitative studies, can be conducted to explore the perspectives and attitudes of underrepresented groups of cancer survivors towards the OncoAppstore. Also, future research can be conducted to explore how the examined characteristics interrelate and influence each other.\\u003c/p\\u003e\"},{\"header\":\"Conclusion\",\"content\":\"\\u003cp\\u003eThis study is the first to use nationwide registry data to examine differences between users of a digital self-management intervention platform \\u0026ndash; one that offers high-quality interventions, provides a digital health credit, and comes from a well-known source \\u0026ndash; with the GenPop. Our findings demonstrate that the OncoAppstore is currently used predominantly by highly educated, younger females with high incomes, originating in the Netherlands. Despite the platform\\u0026rsquo;s large reach and the provision of a digital health credit, some groups remain underrepresented. Still, the OncoAppstore is not specifically designed to replace certain forms of care or reach all potential users. Its primary goal is to enhance and simplify access to evidence-based self-management interventions for cancer survivors. To promote broader inclusivity and extend the platform\\u0026rsquo;s reach, targeted strategies could be implemented to engage a more diverse group of cancer survivors. Additionally, further research is needed to assess the OncoAppstore\\u0026rsquo;s initial effects on cancer survivors\\u0026rsquo; health, quality of life and healthcare utilization and to explore potential differences in uptake patterns between early and late adopters.\\u003c/p\\u003e\"},{\"header\":\"Declarations\",\"content\":\"\\u003cp\\u003e\\u003cstrong\\u003eAcknowledgements\\u0026nbsp;\\u003c/strong\\u003e\\u003cbr\\u003e\\u0026nbsp;The authors thank the participants of the OncoAppstore who consented to share their data for this research, the registration team of the Netherlands Comprehensive Cancer Organisation (IKNL) for collecting data for the Netherlands Cancer Registry, and Dr. Maarten Schipper and Dr. Jeroen Rodenburg, statisticians at the National Institute for Public Health and the Environment, for their valuable assistance with the data analysis. Finally, the authors thank Dr. Natascha van Vooren and Dr. Eva Alblas for their valuable comments and suggestions.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eAuthor contribution\\u003c/strong\\u003e\\u0026nbsp;\\u003cbr\\u003e\\u0026nbsp;The study design and methodology development were handled by LvD. Data linking and analysis were led by LvD with support from JNS. Data interpretation was done by LvD and RvdV. LvD wrote the manuscript. RvdV, AK, JJA, MS, CRML, NHC and JNS critically revised the manuscript. All authors read and approved the definitive version of the manuscript for submission and publication in this journal.\\u0026nbsp;\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eFunding\\u0026nbsp;\\u003c/strong\\u003e\\u003cbr\\u003e\\u0026nbsp;The Dutch Ministry of Health, Welfare, and Sport funded this study to benefit the e-health monitoring project (project number V/060428/01). The Ministry had no role in the study design, data collection and analysis, data interpretation, manuscript writing, or publication approval. The Dutch Cancer Society (KWF) provided the digital credit for the OncoAppstore and contributed to its development, communication, and monitoring efforts. While KWF was not directly involved in the study design, data collection, analysis, or interpretation, their role in raising awareness about the OncoAppstore indirectly supported data collection. This study emerged from a collaboration between two projects with separate funding streams. KWF was not a direct funder of this research but played a key role in the broader tripartite collaboration.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eData availability\\u003c/strong\\u003e\\u0026nbsp;\\u003cbr\\u003e The data generated and analyzed during this study are available from the corresponding author upon reasonable request.\\u003cstrong\\u003e\\u003cbr\\u003e\\u003c/strong\\u003e\\u003cstrong\\u003eEthics approval\\u003c/strong\\u003e\\u0026nbsp;\\u003cbr\\u003e\\u0026nbsp;The study was submitted and exempt from review by the Medical Research Ethics Committee Brabant (NW2022-42), as this study is not subject to the Dutch Medical Research Involving Human Subject Act.\\u003cbr\\u003e\\u003cstrong\\u003eConsent to participate\\u003c/strong\\u003e\\u0026nbsp;\\u003cbr\\u003e\\u0026nbsp;All OncoAppstore users included in this study have provided written informed consent for their data to be shared with Statistics Netherlands in line with the Dutch GDPR.\\u003c/p\\u003e\\n\\u003cp\\u003e\\u003cstrong\\u003eConsent for publication\\u003c/strong\\u003e\\u0026nbsp;\\u003cbr\\u003e\\u0026nbsp;Not applicable.\\u0026nbsp;\\u003cbr\\u003e\\u003cstrong\\u003eCompeting interests\\u0026nbsp;\\u003cbr\\u003e\\u0026nbsp;\\u003c/strong\\u003eThe authors declare no competing interests.\\u003c/p\\u003e\"},{\"header\":\"References\",\"content\":\"\\u003col\\u003e\\n \\u003cli\\u003eNKR, 2024, Survival per year from diagnosis, Relative survival (in Dutch: Overleving per jaar vanaf diagnose, Relatieve overleving), https://nkr-cijfers.iknl.nl/viewer/relatieve-overleving-per-jaren-na-diagnose?language=nl_NL\\u0026amp;viewerId=bd115fb0-d35c-4352-8426-7f805a506d0c, 03-06-2024\\u003c/li\\u003e\\n \\u003cli\\u003eBrandenbarg D, de Bock G, Berendsen A: Follow-up and monitoring for cancer (in Dutch: Nazorg en controle voor kanker). 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J Med Internet Res 26:e54745, 2024, https://doi.org/10.2196/54745\\u003c/li\\u003e\\n \\u003cli\\u003eKanker.nl, 2023, Appstore, https://www.kanker.nl/hulp-en-ondersteuning/appstore?page=1, 11-10-2023\\u003c/li\\u003e\\n \\u003cli\\u003eIKNL, 2023, Self-management for (former) cancer patients with the App Store on kanker.nl (in Dutch: Eigen regie voor (ex-)kankerpati\\u0026euml;nten met Appstore op kanker.nl), https://iknl.nl/nieuws/2023/eigen-regie-voor-(ex-)kankerpatienten-met-appstore, 24-02-2025\\u003c/li\\u003e\\n \\u003cli\\u003eIKNL, 2024, Self-management for (ex-)cancer patients with Appstore on kanker.nl (in Dutch: Eigen regie voor (ex-)kankerpati\\u0026euml;nten met Appstore op kanker.nl), https://iknl.nl/nieuws/2023/eigen-regie-voor-(ex-)kankerpatienten-met-appstore, 03-06-2024\\u003c/li\\u003e\\n \\u003cli\\u003eIKNL, 2023, About IKNL (in Dutch: Over IKNL), https://iknl.nl/over-iknl, 03-06-2024\\u003c/li\\u003e\\n \\u003cli\\u003eA.M. de Korte LvD, M.L. van der Lee, J. J. Aardoom, N.P.M. Ezendam, P. Heine, F. Mols, H. Mulder-Mertens, M.M. Stouten, C.R.M. Lammens: Who uses self-management apps from the OncoAppstore: Description of characteristics, symptoms, and functioning of a real-world user population. Manuscript submitted for publication, 2024\\u003c/li\\u003e\\n \\u003cli\\u003eKanker.nl, 2023, About us (in Dutch: Over ons), https://www.kanker.nl/overig/over-ons, 24-05-2024\\u003c/li\\u003e\\n \\u003cli\\u003eKWF, 2023, About Dutch Cancer Society https://www.kwf.nl/en/the-organization, 30-03-2023\\u003c/li\\u003e\\n \\u003cli\\u003eKanker.nl, n.d., Activate credit for the App Store (in Dutch: Tegoed activeren voor de Appstore), https://www.kanker.nl/hulp-en-ondersteuning/appstore/over-de-appstore, 01-02-2024\\u003c/li\\u003e\\n \\u003cli\\u003eGGD, 2023, The test method: GGD AppStore methodology (in Dutch: De testmethode: GGD AppStore methodiek), https://www.ggdappstore.nl/Appstore/Testmethode, 11-10-2023\\u003c/li\\u003e\\n \\u003cli\\u003eA.M. de Korte LvD, M.L. van der Lee, J. J. Aardoom, P. Heine, H. Mulder-Mertens, M.M. Stouten, C.R.M. 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PloS one 13:e0195447, 2018, https://doi.org/10.1371/journal.pone.0195447\\u003c/li\\u003e\\n \\u003cli\\u003eKeij B, Versluis A, Alblas E, et al: E-health monitor 2023. State of affairs in digital care (in Dutch: E-healthmonitor 2023. Stand van zaken digitale zorg). 2024, https://dx.doi.org/10.21945/RIVM-2024-0008\\u003c/li\\u003e\\n \\u003cli\\u003eAl-Dhahir I, Reijnders T, Faber JS, et al: The Barriers and Facilitators of eHealth-Based Lifestyle Intervention Programs for People With a Low Socioeconomic Status: Scoping Review. J Med Internet Res 24:e34229, 2022, https://doi.org/10.2196/34229\\u003c/li\\u003e\\n \\u003cli\\u003eVerma R, Saldanha C, Ellis U, et al: eHealth literacy among older adults living with cancer and their caregivers: a scoping review. 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BMC research notes 5:1-12, 2012, https://doi.org/10.1186/1756-0500-5-514\\u003c/li\\u003e\\n \\u003cli\\u003eFaber JS, Al-Dhahir I, Reijnders T, et al: Attitudes Toward Health, Healthcare, and eHealth of People With a Low Socioeconomic Status: A Community-Based Participatory Approach. Frontiers in Digital Health 3, 2021, https://doi.org/10.3389/fdgth.2021.690182\\u003c/li\\u003e\\n \\u003cli\\u003eBonevski B, Randell M, Paul C, et al: Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC medical research methodology 14:1-29, 2014, http://dx.doi.org/10.1186/1471-2288-14-42\\u003c/li\\u003e\\n \\u003cli\\u003eWhitehead L, Talevski J, Fatehi F, et al: Barriers to and Facilitators of Digital Health Among Culturally and Linguistically Diverse Populations: Qualitative Systematic Review. J Med Internet Res 25:e42719, 2023, https://doi.org/10.2196/42719\\u003c/li\\u003e\\n \\u003cli\\u003eSibuyi I-N, de la Harpe R, Nyasulu P: A Stakeholder-Centered mHealth Implementation Inquiry Within the Digital Health Innovation Ecosystem in South Africa: MomConnect as a Demonstration Case. JMIR Mhealth Uhealth 10:e18188, 2022, https://doi.org/10.2196/18188\\u003c/li\\u003e\\n \\u003cli\\u003eO\\u0026rsquo;Connor S, Hanlon P, O\\u0026rsquo;Donnell CA, et al: Understanding factors affecting patient and public engagement and recruitment to digital health interventions: a systematic review of qualitative studies. BMC Medical Informatics and Decision Making 16:120, 2016, https://doi.org/10.1186/s12911-016-0359-3\\u003c/li\\u003e\\n \\u003cli\\u003eArsenijevic J, Tummers L, Bosma N: Adherence to Electronic Health Tools Among Vulnerable Groups: Systematic Literature Review and Meta-Analysis. J Med Internet Res 22:e11613, 2020, https://doi.org/10.2196/11613\\u003c/li\\u003e\\n\\u003c/ol\\u003e\"}],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":true,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":false,\"hideJournal\":false,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":true,\"isAuthorSuppliedPdf\":false,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":false,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"supportive-care-in-cancer\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"jscc\",\"sideBox\":\"Learn more about [Supportive Care in Cancer](https://www.springer.com/journal/520)\",\"snPcode\":\"520\",\"submissionUrl\":\"https://submission.nature.com/new-submission/520/3\",\"title\":\"Supportive Care in Cancer\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Springer Hybrid\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":false},\"keywords\":\"e-health, cancer, self-management, uptake, health disparities, survivorship\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-7082271/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-7082271/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"\\u003cp\\u003e\\u003cstrong\\u003ePurpose: \\u003c/strong\\u003eDigital self-management interventions can aid cancer survivors with their psychosocial, emotional, physical, and lifestyle support needs, but usage is relatively low due to lack of awareness and reimbursement. Additionally, there are concerns about e-health exacerbating existing health disparities. To enhance the uptake of digital self-management interventions, the OncoAppstore is a landing page on a well-known Dutch platform that provides cancer survivors with credit to purchase these interventions. It is unknown to what extent the nature of the OncoAppstore will influence uptake and appeal to a diverse group of cancer survivors. The current study therefore aimed to explore sociodemographic, clinical, income, and healthcare usage factors associated with its early uptake among survivors.\\u003cbr\\u003e\\n \\u003cstrong\\u003eMethods: \\u003c/strong\\u003eOncoAppstore usage data were combined with nationwide registry data from Statistics Netherlands, the Netherlands Cancer Registry and Dutch Hospital Data. Data were analyzed descriptively, and differences between OncoAppstore users and the general population of cancer survivors (GenPop) were statistically tested using Chi-square tests, Fisher’s exact tests, and Mann-Whitney U tests.\\u003cbr\\u003e\\n \\u003cstrong\\u003eResults: \\u003c/strong\\u003eOncoAppstore users tended to have higher educational levels and incomes, were more likely to be female, younger on average, and more often of Dutch origin compared to GenPop. Users had higher primary and specialist mental healthcare expenditures and lower expenditures on total healthcare, general practitioner, hospital, and pharmaceutical care. \\u003cbr\\u003e\\n \\u003cstrong\\u003eConclusion: \\u003c/strong\\u003eThe early users of the OncoAppstore appear to be a selective group of cancer survivors as they are primarily individuals with high socioeconomic status. Thus, consistent with other e-health research, the same user patterns are observed. Future research should investigate whether this trend persists after a longer period and what is needed to better reach underrepresented groups.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Investigating the early uptake of digital self-management interventions amongst Dutch cancer survivors using nationwide registry data - the OncoAppstore case\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2025-08-25 09:02:42\",\"doi\":\"10.21203/rs.3.rs-7082271/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0},{\"type\":\"decision\",\"content\":\"Revision requested\",\"date\":\"2025-09-04T19:57:53+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2025-09-03T01:10:33+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2025-08-31T07:30:06+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"220883380762859511942732038523486850689\",\"date\":\"2025-08-19T23:36:27+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"187964999401727830322876474956419465844\",\"date\":\"2025-08-17T00:29:59+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewersInvited\",\"content\":\"\",\"date\":\"2025-08-16T12:31:49+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorAssigned\",\"content\":\"\",\"date\":\"2025-08-16T12:28:27+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"checksComplete\",\"content\":\"\",\"date\":\"2025-07-10T03:58:39+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"submitted\",\"content\":\"Supportive Care in Cancer\",\"date\":\"2025-07-09T09:11:50+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"supportive-care-in-cancer\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"jscc\",\"sideBox\":\"Learn more about [Supportive Care in Cancer](https://www.springer.com/journal/520)\",\"snPcode\":\"520\",\"submissionUrl\":\"https://submission.nature.com/new-submission/520/3\",\"title\":\"Supportive Care in Cancer\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Springer Hybrid\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":false}}],\"origin\":\"\",\"ownerIdentity\":\"c6c84658-b8dd-4af4-96ca-1c303e13404a\",\"owner\":[],\"postedDate\":\"August 25th, 2025\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"published-in-journal\",\"subjectAreas\":[],\"tags\":[],\"updatedAt\":\"2025-10-20T16:10:07+00:00\",\"versionOfRecord\":{\"articleIdentity\":\"rs-7082271\",\"link\":\"https://doi.org/10.1007/s00520-025-10035-5\",\"journal\":{\"identity\":\"supportive-care-in-cancer\",\"isVorOnly\":false,\"title\":\"Supportive Care in Cancer\"},\"publishedOn\":\"2025-10-17 15:58:30\",\"publishedOnDateReadable\":\"October 17th, 2025\"},\"versionCreatedAt\":\"2025-08-25 09:02:42\",\"video\":\"\",\"vorDoi\":\"10.1007/s00520-025-10035-5\",\"vorDoiUrl\":\"https://doi.org/10.1007/s00520-025-10035-5\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-7082271\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-7082271\",\"identity\":\"rs-7082271\",\"version\":[\"v1\"]},\"buildId\":\"XKTyCvWXoU3ODBz1xrDgd\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}