Objective Assessment of Adherence to Dry Powder Inhalers Attached with Flow Velocity Detection Devices in Asthmatic Children: a cohort study | 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 Article Objective Assessment of Adherence to Dry Powder Inhalers Attached with Flow Velocity Detection Devices in Asthmatic Children: a cohort study Shuxian Li, Jiayao Song, Qi Qi, Cihang Zhu, Xin Yang, Hongxian Ren, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4666018/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Suboptimal adherence to asthma medication is one of the major causes of asthma exacerbation. Currently, there is no report on the objective and scientific evaluation of medication adherence among asthmatic children. We aimed to identify and quantify adherence and techniques of using dry powder inhalers (DPIs) among pediatric asthmatic patients with a newly developed electronic device that can monitor the use pattern of DPIs during inhalation. Methods A prospective, single-center, observational cohort study was conducted. On discharge from the hospital, pediatric asthmatic patients were given Diskus DPIs with attached electronic devices. The frequency, flow velocity, volume, duration and angle were analyzed to determine the adherence and technical proficiency of DPI use. Results Pediatric asthmatic patients (n = 128) with a mean age of 7.8 years, a mean forced expiratory volume in 1 second (FEV 1 ) of 1.5 L, and a mean FEV 1 % of 93.5% were recruited. Total 4096 results were recorded. The most common error types were short duration (98.8%), low volume (94.5%), wrong angle (33.3%), missed use (27.9%), low peak inspiratory flow rate (PIFR) (24.4%), exhalation (15.8%) and multiple use (0.8%). The mean actual adherence was 0.1% (standard deviation (SD), 0.9%). The errors in Diskus DPI use were correlated with asthmatic children's age, basic lung function, and desensitization treatment status. Conclusion Our study is the first to objectively characterize the primary types and proportions of technique errors among asthmatic children using modified Diskus DPIs and revealed that asthmatic children’s real-world actual adherence to DPIs was unsatisfactory. Health sciences/Diseases/Respiratory tract diseases/Asthma Health sciences/Health care/Paediatrics/Paediatric research pediatric asthma Diskus dry powder inhaler adherence electronic device Figures Figure 1 Figure 2 Figure 3 Figure 4 1. Introduction Asthma, the most common chronic inflammatory airway disease in children, causes wheezing, coughing, shortness of breath, and variable expiratory airflow limitation. 1 Around 334 million people, mostly children, visit the ER for asthma, the third leading cause. 2 Poor asthma management lowers children's quality of life, lengthens hospital stays, and wastes medical resources. Long-term asthma control requires keeping children "asymptomatic" by preventing chronic symptoms, maintaining lung function, and allowing normal daily activities. 3 Metered dose inhalers (MDIs) or dry powder inhalers (DPIs) are asthma essentials. 4 Due to medication adherence, inhaler efficacy may not match real-world or clinical effectiveness. Regular and proficient inhaled medication use is indicated by temporal and technique adherence. Previous adult studies found 12.0% – 83.7% suboptimal inhaler technique 4–6 and 17.4% – 87.2% inhaler adherence. 7 – 9 In asthmatic children, it was found inhaler technique errors was 43% − 100% and only 34.6% of asthmatic children used DPI devices correctly. 10 , 11 Parental supervision, device training, and physical incompetence can cause child nonadherence. Poor inhaler technique and adherence can cause uncontrolled asthma in children despite effective medications. 12 , 13 Despite adult studies showing challenges, children's DPI handling errors and treatment adherence have not been adequately studied. 4 , 14 , 15 Children's DPI inhaler technique and adherence are difficult to measure. Self-reporting and pharmacy refill checks are subjective and inaccurate. 16 Electronic monitors objectively track inhaler use. 17 – 20 Electronic monitors objectively track inhaler use. Previous studies using INCA found poor technique and low DPI adherence in COPD or asthma adults. 21 Electronic inhaler reminders with biofeedback improved DPI therapy adherence. 18 However, INCA can be disturbed by ambient noise and lacks inspiratory angle recording, which may affect dry powder deposits in the lungs but has been overlooked. No study has objectively assessed asthmatic children's electronic inhaler adherence and technique. We developed an electronic monitoring device for the salmeterol/fluticasone Diskus DPI inhaler (GSK, Uxbridge, UK) to address this issue. This flow velocity detector objectively measured DPI angle, interval, and duration. This was the first study to test a modified Diskus DPI with a pediatric asthmatic inhalation detector. This study objectively identified and quantified Diskus DPI error types and adherence in asthmatic children using inhalers. To inform individualized intervention, asthmatic children's adherence, technique errors, and DPI usage were studied. 2. Methods 2.1 Study design and participants This was a prospective, single-blinded, self-controlled observational study. The study was conducted in a single center at the Children’s Hospital, Zhejiang University School of Medicine from November 2020 to February 2022 and was approved by the Ethical Committee of the hospital (2020 - TRB − 143). This study was conducted following the Declaration of Helsinki. All procedures were performed in accordance with relevant guidelines and regulations. Children and adolescents aged 4 to 16 years old with mild asthma were screened for eligibility and informed consent was obtained from all subjects and their legal guardians.Inclusion criteria and exclusion criteria were listed in the supplementary materials. Patients were treated with salmeterol/fluticasone Diskus DPIs (GSK, Uxbridge, UK) for asthma after discharge. Once informed consent was obtained from patients, a novel flow velocity detection device (Laikelide, Suzhou) was attached to the Diskus DPIs for monitoring patients’ adherence. The study procedures were also detailed in the supplementary materials. 2.2 Instructions for the modified Diskus DPIs The recording device of the modified Diskus DPIs consists of a dust cover, a battery, solid-state memory storage, a central processing unit, a gyroscope, a pressure sensor and a Bluetooth (Fig. 1 A - G). The device can be easily attached to the Diskus DPI and the time of use, inspiratory flow velocity, duration of use, the total volume of inhalation and holding angle during inhalation were recorded through the application connected with the device by Bluetooth, as illustrated in Fig. 1 . All of this information was compiled and uploaded to a cloud platform for further analysis (Fig. 1 H,I). The specific components of the inhaler are described in the supplementary material. 2.3 Outcome measures The primary outcomes were the overall rates of different error types, including simple and compound error types, in asthmatic children using the modified Diskus DPIs. The angle (0–30 degrees) was applied according to the FDA guideline to a previous study. 22 We evaluated seven distinct simple error types: low peak inspiratory flow rate (PIFR), low volume, wrong angle, short duration, exhalation, multiple use, and missed use. Compound error types refer to original technique error, attempted error and modified technique error (Table 1 ). Secondary outcomes were the individual attempted adherence, use adherence and actual adherence to the modified Diskus DPIs (Table 1 ). Table 1 Definition of inhaler error types and individual adherence to Diskus DPIs in asthmatic children. Error types*/ Individual adherence Definitions Referenced criteria Simple error types in the whole population Multiple use The time interval between two uses of the device meets 1 h ≤ Δ t ≤ 5 h. FDA guideline 25 Missed use The time interval between two uses of the device meets Δ t > 15 h. FDA guideline 25 Low PIFR The value of PIFR accords with 0 L/min < PIFR < 30 L/min. FDA guideline 25 Exhalation PIFR < 0 L/min occurred during the use of the device. FDA guideline 25 Short duration The duration of a single-use device is less than 5 s. (t < 5 s). FDA guideline 25 Low volume No exhalation error occurs, and the total volume of inhaled gas is less than 2 L. FDA guideline 25 Wrong angle The angle of using the device is less than 0° or more than 30°. A thesis 22 Compound error types for individual Original technique error The above seven simple error types except multiple use and missed use. Attempted error Multiple use and missed use. Modified technique error Technique error except short duration and low volume. Individual adherence (The expected number of uses were 64 doses per patient) Attempted adherence The percentage of the number of attempts to the expected number of uses. Use adherence The percentage of number of correct attempts (excluding multiple use and missed use) to the expected number of uses. Actual adherence The percentage of number of completely correct use to the expected number of uses. *Use for many times in a short time only counts as one use record, because it may be caused by poor contact of the device. 2.4 Statistical analysis Descriptive statistics were used to present basic details for the included patients. Means ± SDs or Medians (IQRs) are presented for continuous variables, and frequencies and percentages for categorical variables. The Shapiro-Wilk test was used to test the normality. For individual error rates and adherence, Mann-Whitney test was performed between subgroups. The Spearman correlation analysis were applied to identify possible correlations between various technical errors in inhaler use and patients’ basic clinical features. Agglomerative hierarchical method and wards-linkage function with squared Euclidian distance were conducted to cluster patients. All the analyses except cluster analysis were performed using SPSS for Windows version 26.0 (IBM, USA). The level of statistical significance was set at p < 0.05. Cluster analysis was carried out by MATLAB R2022b (MathWorks, USA). 3. Results 3.1 Participant characteristics Between November 2020 and February 2022, 168 asthmatic children were recruited and treated with the modified Diskus DPIs after discharge for a 32-day period. Forty patients (23.8%) were lost to follow-up, 128 patients (76.2%) completed the study, and a total of 4096 results were recorded. The majority of participants were boys (69%) with a mean age of 7.8 (standard deviation (SD), 2.0) years, mean BMI of 16.1 (SD, 2.4) and FEV 1 of 1.5 L (SD, 0.5) and 93.5% (SD, 16.0%) as predicted. In addition, 41 patients received desensitization treatment, while the other 68 patients did not. 3.2 Overall error rates of Diskus DPI use among asthmatic children The most often made simple error in DPI use included 4048 short duration events with an overall rate of 98.8%, followed by 3870 low volume events in 94.5% of asthmatic children, wrong angle (n = 1363, 33.3%), low PIFR (n = 998, 24.4%), exhalation (n = 649, 15.8%), missed use (n = 1143, 27.9%), and multiple use (n = 33, 0.8%) (Fig. 2 A-H). 3.3 Individual adherence of inhaler use among asthmatic children . Most patients used their modified Diskus DPIs irregularly: 26 children used the modified Diskus DPIs with excessive dosing, accounting for 33 multiple uses with a mean attempted multiple use error rate of 1.1% (SD, 2.7%); 127 children missed Diskus DPI doses, accounting for 1143 missed uses with a mean attempted missed use error rate of 35.0% (SD, 26.0%). In addition, the mean original technique error rate was 99.4% (SD, 3.3%), and the mean modified technique error rate was 73.0% (SD, 19.8%). The mean attempted adherence rate was 50.0% (SD, 25.1%). In addition, using a cut-off value of ≥ 80% for good adherence 23 , 14.8% of patients exhibited good attempted adherence, while 85.2% of patients did not (Fig. 2 I). In addition, the mean use adherence rate was 35.6% (SD, 25.8%), and the mean actual adherence rate was 0.1% (SD, 0.9%). We discovered that the mean attempted adherence, use adherence, and actual adherence were significantly different ( p < 0.001, Fig. 2 J). 3.4 Factors related to the adherence of asthmatic children The mean attempted error rates, mean original and modified technique error rates, and mean adherence rates between different subgroups were compared. The results showed that there was no significant difference in the attempted error rates or modified technique error rates or mean adherence rates among all subgroups. The mean original technique error rate was significantly different between desensitization treatment subgroups ( p = 0.034), while the difference between the two age and sex subgroups was not (Supplementary table 1 ). Spearman correlation analysis showed that a low PIFR error rate had a strong negative correlation with the age and FEV 1 of asthmatic children (r = -0.240 and − 0.261, p = 0.006 and 0.003, respectively) (Fig. 3 A,B). In addition, the exhalation and missed use error rates both had a significant positive correlation with FEV 1 (r = 0.199 and 0.214, p = 0.025 and 0.016, respectively) (Fig. 3 C,D). The low volume error rate showed a significant positive correlation with FEV 1 % (r = 0.208, p = 0.019) (Fig. 3 E). In addition, we found that asthmatic children who did not receive desensitization treatment had fewer short duration errors but more low PIFR errors (r = -0.129 and 0.238, p = 0.013 and 0.007, respectively) (Fig. 3 F,G). 3.5 Clustering of the patterns of inhaler use We also characterized patterns of Diskus DPI adherence by cluster patients based on the attempted adherence rate, normal technique error rate and modified technique error rate (Fig. 4 A). Almost all children did not adhere to the FDA's recommendation (Fig. 4 B). Thus, after excluding duration and volume index, we reclustered participants (Fig. 4 C). Hierarchical clustering indicated 4 well-separated clusters of approximately equal size corresponding to distinct patterns of behavior. Cluster 1 (n = 11; 8.6%) was defined by a high percentage of attempted adherence (mean, 81.2%), intentional adherence and a low rate of technique error (mean, 38.0%), unintentional nonadherence. Cluster 2 (n = 54; 42.2%) was characterized by a high rate of attempted adherence (mean, 68.5%) and a high rate of technique error (mean, 73.7%). Cluster 3 (n = 21; 16.4%) was characterized by a low percentage of attempted adherence (mean, 22.8%) and technique error (mean, 58.5%). Cluster 4 (n = 29; 22.7%) was characterized by a low rate of attempted adherence (mean, 27.9%) and intentional adherence and a high error rate (mean, 94.0%) and unintentional nonadherence, leading to poor actual adherence. 4. Discussion This study examined 128 asthmatic children's use of modified Diskus DPIs with flow velocity detection devices. Fewer asthmatic children (14.8%) had adherence rates ≥ 80% to DPI usage. When technique errors and dose intervals were considered, the mean actual adherence rate was 0.1%. An observational study of 103 adult asthma and COPD patients in Ireland found that only 50% had an attempted adherence rate ≥ 80%, with a mean actual adherence rate of 47%. 24 In adults, 19% of 48 asthma and COPD patients had an attempted adherence rate ≥ 80%, with a mean actual adherence rate of 42.7%. 16 Our study demonstrated that children's adherence was significantly lower than the adults'. We also found a significant difference between attempted and actual adherence, suggesting that technique errors could lower actual adherence even in those with good intentional adherence. Asthmatic children's DPI duration and volume often mismatch FDA guidelines due to physiological differences. Thus, we excluded these two factors from cluster analysis. Most patients (42.2%) were in cluster 2, which had good attempted adherence but poor technique. This shows that DPI technique issues persist despite good adherence. The adherence was much lower than expected, especially for DPI techniques. No criteria exist for DPI use in children. In 179 COPD and 103 asthma/COPD patients, low PIFR and multiple use errors were the most common technique errors. 21 , 24 Another observational study found that multiple use and short duration technique errors were most common. 16 Short duration, low volume, and wrong angle were the most common DPI use concerns among children, while multiple use and exhalation, which are traditionally the most common errors, were underrepresented. Due to physiological and anatomical differences in respiratory system and lung function between children and adults and children's imperfect neuropsychological cognitive development, inhaler use did not meet FDA standards. Children had a lower probability of multiple use errors than adults, possibly due to their lower medicine use proclivity and self-motivation. Our study found no effects of inhalation angle on asthmatic children's DPI adherence. It's a crucial but overlooked factor. A simulation study found that poor angles cause medication particles to deposit in improper locations and degrade efficiency, suggesting angles should be further characterized. 22 DPI use guidelines for adherence and technique are difficult to choose, and there are no recommendations for children. We found that most children did not follow FDA inhaler usage guidelines. Our findings suggest that this FDA guideline may only apply to adults, while the DPI guideline for children requires specific instructions. Normal 4- to 12-year-old children's lung capacity is 1/4 to 1/6 of adults', and their airways are smaller. Aerodynamic modelling experiments and clinical studies may help establish DPI guidelines for children of different ages. We found that the probability of having a low PIFR error was inversely related to age and FEV 1 , suggesting that children's undeveloped cognitive and physical abilities may be addressed as they grow up. Exhalation, missed use, and low volume error rates increased with FEV 1 and FEV 1 %. Lower PIFR errors were less common in asthmatic children who received desensitisation. Patients and their carers pay more attention to illness depending on their fundamental lung function and whether they receive desensitisation therapy, which can explain the above phenomena. Thus, inhaler devices that adapt to children's anatomical, physiological, and psychological cognition characteristics and patient and carer education to control these factors are urgently needed. Understanding patients' DPI use patterns can also help develop personalised adherence interventions or interventions. This was a single-center observational study. A large-scale multicenter study among children with moderate and severe asthma using the device to examine how electronic monitoring devices affect inhaler use and asthma control to establish a theoretical and experimental foundation for inhaler use standards and child-friendly equipment. For ethical reasons, we recruited children with mild asthmatic symptoms. Therefore, the results may underestimate adherence in children with severe asthmatic symptoms, who intentionally need better disease control. Fortunately, the patients and parents gave no negative feedback, allowing us to safely perform multicenter studies using the device in children with severe asthma. Moreover, only the use of one of the most popular inhalers was examined, more work should be done on other popular dry powder inhalers like Symbicort turbuhalers. Our research objectively showed the main types and proportions of technique errors asthmatic children made when using modified Diskus DPIs for the first time and demonstrated that their real-world DPI use was poor. Meanwhile, age, basic lung function, and desensitisation treatment status were linked to DPI use in asthmatic children. This emphasises the need for standardized training and close supervision of DPI use in asthmatic children and the need for special inhalers for physically and intellectually unable to adhere. Contributors YX, LW and YW conceived and designed the study. YX, JS, CZ, SL, XY and LW conducted the experiment, collected the data and participated the analysis of results. JS, CZ and QQ analyzed the results and made the figures. HR developed and provided the electronic device. JS and YX wrote and revised the manuscript. QQ participated in the data analysis and interpretation. LW, YW and YW provided funding support. Declarations Declaration of interests The authors have no financial conflicts of interest. Data sharing The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. Funding This work was supported by Grants from the National Natural Science Foundation of China (No. 82173819 to YX, No. 62076218 to YW); the National Key R&D program of China (No. 2019YFE0126200 to YW); the Zhejiang Province Public Welfare Technology Application Research Project (No. LGF22H010002 to LW). Author Contribution YX, LW and YW conceived and designed the study. YX, JS, CZ, SL, XY and LW conducted the experiment, collected the data and participated the analysis of results. JS, CZ and QQ analyzed the results and made the figures. HR developed and provided the electronic device. JS and YX wrote and revised the manuscript. QQ participated in the data analysis and interpretation. LW, YW and YW provided funding support. Acknowledgement The language is edited by the American Journal Experts (AJE) with the verification code D9EB-76D8-24A1-33C7-1CFP. Data Availability The datasets used and/or analysed during the current study available from the corresponding author on reasonable request. References Papi, A., Brightling, C., Pedersen, S. E. & Reddel, H. K. Asthma. Lancet 391, 783–800, doi: 10.1016/S0140-6736(17)33311-1 (2018). Disease, G. B. D., Injury, I. & Prevalence, C. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1789–1858, doi: 10.1016/S0140-6736(18)32279-7 (2018). Devonshire, A. L. & Kumar, R. Pediatric asthma: Principles and treatment. Allergy Asthma Proc 40, 389–392, doi: 10.2500/aap.2019.40.4254 (2019). Harnett, C. M. et al. A study to assess inhaler technique and its potential impact on asthma control in patients attending an asthma clinic. J Asthma 51, 440–445, doi: 10.3109/02770903.2013.876650 (2014). Al-Jahdali, H. et al. Improper inhaler technique is associated with poor asthma control and frequent emergency department visits. Allergy Asthma Clin Immunol 9, 8, doi: 10.1186/1710-1492-9-8 (2013). Fink, J. B. & Rubin, B. K. Problems with inhaler use: a call for improved clinician and patient education. Respir Care 50, 1360–1374; discussion 1374 – 1365 (2005). Brown, M. et al. Children in the ACT with asthma–are they taking preventer medication according to guidelines? Aust Fam Physician 39, 146–149 (2010). Chen, S. H., Yin, T. J. & Huang, J. L. An exploration of the skills needed for inhalation therapy in schoolchildren with asthma in Taiwan. Ann Allergy Asthma Immunol 89, 311–315, doi: 10.1016/s1081-1206(10)61960-6 (2002). Milgrom, H. et al. Noncompliance and treatment failure in children with asthma. J Allergy Clin Immunol 98, 1051–1057, doi: 10.1016/s0091-6749(96)80190-4 (1996). Gillette, C., Rockich-Winston, N., Kuhn, J. A., Flesher, S. & Shepherd, M. Inhaler Technique in Children With Asthma: A Systematic Review. Acad Pediatr 16, 605–615, doi: 10.1016/j.acap.2016.04.006 (2016). Capanoglu, M., Dibek Misirlioglu, E., Toyran, M., Civelek, E. & Kocabas, C. N. Evaluation of inhaler technique, adherence to therapy and their effect on disease control among children with asthma using metered dose or dry powder inhalers. J Asthma 52, 838–845, doi: 10.3109/02770903.2015.1028075 (2015). Sasaki, M. et al. Factors associated with asthma control in children: findings from a national Web-based survey. Pediatr Allergy Immunol 25, 804–809, doi: 10.1111/pai.12316 (2014). Rabe, K. F. et al. Worldwide severity and control of asthma in children and adults: the global asthma insights and reality surveys. J Allergy Clin Immunol 114, 40–47, doi: 10.1016/j.jaci.2004.04.042 (2004). Brocklebank, D. et al. Comparison of the effectiveness of inhaler devices in asthma and chronic obstructive airways disease: a systematic review of the literature. Health Technol Assess 5, 1–149, doi: 10.3310/hta5260 (2001). Yildiz, F. Importance of inhaler device use status in the control of asthma in adults: the asthma inhaler treatment study. Respir Care 59, 223–230, doi: 10.4187/respcare.02478 (2014). Hesso, I., Nabhani Gebara, S., Greene, G., Co Stello, R. W. & Kayyali, R. A quantitative evaluation of adherence and inhalation technique among respiratory patients: An observational study using an electronic inhaler assessment device. Int J Clin Pract 74, e13437, doi: 10.1111/ijcp.13437 (2020). Merchant, R. K., Inamdar, R. & Quade, R. C. Effectiveness of Population Health Management Using the Propeller Health Asthma Platform: A Randomized Clinical Trial. J Allergy Clin Immunol Pract 4, 455–463, doi: 10.1016/j.jaip.2015.11.022 (2016). Foster, J. M. et al. Inhaler reminders improve adherence with controller treatment in primary care patients with asthma. J Allergy Clin Immunol 134, 1260–1268 e1263, doi: 10.1016/j.jaci.2014.05.041 (2014). Foster, J. M. et al. The reliability and patient acceptability of the SmartTrack device: a new electronic monitor and reminder device for metered dose inhalers. J Asthma 49, 657–662, doi: 10.3109/02770903.2012.684253 (2012). Chan, A. H., Harrison, J., Black, P. N., Mitchell, E. A. & Foster, J. M. Using electronic monitoring devices to measure inhaler adherence: a practical guide for clinicians. J Allergy Clin Immunol Pract 3, 335–349 e331-335, doi: 10.1016/j.jaip.2015.01.024 (2015). Sulaiman, I. et al. Objective Assessment of Adherence to Inhalers by Patients with Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 195, 1333–1343, doi: 10.1164/rccm.201604-0733OC (2017). Fang, H. Numerical and experimental study on the transport and deposition mechanisms of inhaled dry powders in upper respiratory tracts[D]. Southeast University. doi: 10.27014/d.cnki.gdnau.2021.000301 (2021). Makela, M. J., Backer, V., Hedegaard, M. & Larsson, K. Adherence to inhaled therapies, health outcomes and costs in patients with asthma and COPD. Respir Med 107, 1481–1490, doi: 10.1016/j.rmed.2013.04.005 (2013). Sulaiman, I. et al. Irregular and Ineffective: A Quantitative Observational Study of the Time and Technique of Inhaler Use. J Allergy Clin Immunol Pract 4, 900–909 e902, doi: 10.1016/j.jaip.2016.07.009 (2016). Draft Guidance on Fluticasone Propionate; Salmeterol Xinafoate. https://www.accessdata.fda.gov/drugsatfda_docs/psg/PSG_208799.pdf . Additional Declarations No competing interests reported. Supplementary Files Supplementalmaterial.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4666018","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":332556527,"identity":"e5721402-6194-4986-94f1-81b51be7cc1d","order_by":0,"name":"Shuxian Li","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Shuxian","middleName":"","lastName":"Li","suffix":""},{"id":332556529,"identity":"ee447734-9a7f-494a-b150-cbf3ebbb6137","order_by":1,"name":"Jiayao Song","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Jiayao","middleName":"","lastName":"Song","suffix":""},{"id":332556530,"identity":"5528f1c3-c319-4416-ac70-1f5f17ebe178","order_by":2,"name":"Qi Qi","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Qi","middleName":"","lastName":"Qi","suffix":""},{"id":332556532,"identity":"2179bc5a-bc1a-4178-95c5-7c62090e3282","order_by":3,"name":"Cihang Zhu","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Cihang","middleName":"","lastName":"Zhu","suffix":""},{"id":332556534,"identity":"f602613a-78a8-4032-96f2-6c1ff36647ef","order_by":4,"name":"Xin Yang","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Xin","middleName":"","lastName":"Yang","suffix":""},{"id":332556535,"identity":"062d98c0-6688-4b77-a1c3-2e05de15d232","order_by":5,"name":"Hongxian Ren","email":"","orcid":"","institution":"Southeast University","correspondingAuthor":false,"prefix":"","firstName":"Hongxian","middleName":"","lastName":"Ren","suffix":""},{"id":332556536,"identity":"310f4e22-4e5f-4b6b-8189-81e035d396f7","order_by":6,"name":"Lei Wu","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Lei","middleName":"","lastName":"Wu","suffix":""},{"id":332556537,"identity":"ac3122f0-71a0-464b-b5e7-f77d953dca33","order_by":7,"name":"Yicheng Xie","email":"","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":false,"prefix":"","firstName":"Yicheng","middleName":"","lastName":"Xie","suffix":""},{"id":332556539,"identity":"2b5ab945-8c19-4d1d-8c12-06bae1f55468","order_by":8,"name":"Yingshuo Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA/klEQVRIiWNgGAWjYNACAyCWAOIPDGwwLpFaGGcQr4UBooWZB2ECHvOPnz38mqfgjt382T2Gj23+8CU2sDdvk2CouYNby5m8NGseg2fJG+6cMTbO4WFLbOA5VibBcOwZTi1mB3LMjHkMDicbSOSYSedIALUAGRKMDYdxazn/BqJFfgZQi4UBUIv8GwJabuQYPwZqsWO4AdTCkACyhQe/Fvsbb8wY5xgcTjC4kVZs2HOAzbiNJ63YIuEYbi2S/TnGH978OWwvPyN544Mff47J9rMf3njjQw1uLUDAJgWMjsQGCOcYJDIT8GkARuDHH0AHQjk1+NWOglEwCkbBiAQA3C9TXZNF9Q8AAAAASUVORK5CYII=","orcid":"","institution":"Zhejiang University School of Medicine, National Clinical Research Center For Child Health","correspondingAuthor":true,"prefix":"","firstName":"Yingshuo","middleName":"","lastName":"Wang","suffix":""}],"badges":[],"createdAt":"2024-07-01 07:11:23","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4666018/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4666018/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":62150465,"identity":"847676f1-f692-410c-a710-62f413d726e4","added_by":"auto","created_at":"2024-08-09 20:29:28","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":721772,"visible":true,"origin":"","legend":"\u003cp\u003eDesign drawing of the Diskus DPI device for asthmatic children and applications. (A) Physical drawing of the Diskus DPI device. (B - G) Design drawing of the recording device. 1 = Inhaler housing; 2 = Dust cover; 3 = Solid-state memory storage; 4 = Battery; 5 = Pressure sensor; 6 = Circuit switch; 7 = Central processing unit; 8 = Bluetooth; 9 = Application code for mobile; 10 = Device information and number; 11 = Diskus inhaler body; 12 = Main intake passage; 13 = Air inlet; 14 = Gyroscope; 15 = Multiple secondary intake passage. (H) Application interface of the Diskus device. (I) Flow chart of data collection, storage and analysis.\u003c/p\u003e","description":"","filename":"image1.png","url":"https://assets-eu.researchsquare.com/files/rs-4666018/v1/2cee7a7d5bfd2909103a2be4.png"},{"id":62151093,"identity":"2064fc74-49fb-449a-92b9-f7214cc1e216","added_by":"auto","created_at":"2024-08-09 20:37:29","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":405249,"visible":true,"origin":"","legend":"\u003cp\u003eExamples of different simple error types (A-G) and the distribution of different inhaler errors (H) among asthmatic children. The blue dots indicate the correct use of the inhaler, while the red dots indicate the wrong use of the inhaler. The dotted lines represent evaluation criteria. (I) Attempted adherence ranged by 20% bands and the number of patients within each band. (J) Comparison of different types of individual adherence. Differences in adherence were calculated and compared from the mean attempted adherence, the mean use adherence, and the mean actual adherence. *** represents \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001, tested by the Mann‒Whitney U test.\u003c/p\u003e","description":"","filename":"image2.png","url":"https://assets-eu.researchsquare.com/files/rs-4666018/v1/f8f5e1e8f5fbad5c269cde05.png"},{"id":62150469,"identity":"b374ddb8-537a-48a2-9fa0-6d23b8ba4fa3","added_by":"auto","created_at":"2024-08-09 20:29:29","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":190998,"visible":true,"origin":"","legend":"\u003cp\u003eCorrelation between various types of errors and children's clinical features. Low PIFR (A,B) error rates were significantly negatively correlated\u0026nbsp;with the age and FEV\u003csub\u003e1\u003c/sub\u003e of asthmatic children. Exhalation (C) and missed use (D) error rates showed a significant positive correlation with FEV\u003csub\u003e1\u003c/sub\u003e. Low volume (E) error rates had a significant positive correlation with FEV\u003csub\u003e1\u003c/sub\u003e%. Short duration (F) error rates showed a significant negative correlation with desensitization treatment, while low PIFR (G) error rates had a significant positive correlation with desensitization treatment. Statistical analyses were performed using Spearman correlation analysis.\u003c/p\u003e","description":"","filename":"image3.png","url":"https://assets-eu.researchsquare.com/files/rs-4666018/v1/eec50a6218a57c5f58fc8feb.png"},{"id":62150467,"identity":"132e1262-8b70-47f8-997b-2f958b6d2b12","added_by":"auto","created_at":"2024-08-09 20:29:29","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":135209,"visible":true,"origin":"","legend":"\u003cp\u003ePatterns of Diskus DPI use among asthmatic children. (A) Dendrogram resulting from the cluster analysis using the Ward method for 128 asthmatic children leading to 4 major clusters (cut value = 100). (B) Distribution of the 4 clusters based on attempted adherence and technique error rate under FDA standards. (C) Distribution of the 4 clusters based on attempted adherence and the modified technique error rate (excludingshort duration and low volume). Cluster 1 shows children with good attempted adherence and good technique. Cluster 2 shows children with good attempted adherence but poor technique. Cluster 3 shows children with poor attempted adherence but good technique. Cluster 4 shows children with poor attempted adherence and poor technique.\u003c/p\u003e","description":"","filename":"image4.png","url":"https://assets-eu.researchsquare.com/files/rs-4666018/v1/cd65bdc69e0941bd90d515e5.png"},{"id":68331660,"identity":"5baeb1bd-bdb6-4f17-b450-9e1b2284758a","added_by":"auto","created_at":"2024-11-06 07:09:20","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1822725,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4666018/v1/efbe1a09-67b3-43d2-add5-a96b4ed263f4.pdf"},{"id":62150466,"identity":"8f738c61-3bbb-48fe-af90-2cc5bd6bbb6b","added_by":"auto","created_at":"2024-08-09 20:29:29","extension":"docx","order_by":2,"title":"","display":"","copyAsset":false,"role":"supplement","size":26430,"visible":true,"origin":"","legend":"","description":"","filename":"Supplementalmaterial.docx","url":"https://assets-eu.researchsquare.com/files/rs-4666018/v1/e5d5cf4ab70996b97d95e520.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Objective Assessment of Adherence to Dry Powder Inhalers Attached with Flow Velocity Detection Devices in Asthmatic Children: a cohort study","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eAsthma, the most common chronic inflammatory airway disease in children, causes wheezing, coughing, shortness of breath, and variable expiratory airflow limitation.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e Around 334\u0026nbsp;million people, mostly children, visit the ER for asthma, the third leading cause.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e Poor asthma management lowers children's quality of life, lengthens hospital stays, and wastes medical resources. Long-term asthma control requires keeping children \"asymptomatic\" by preventing chronic symptoms, maintaining lung function, and allowing normal daily activities.\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e Metered dose inhalers (MDIs) or dry powder inhalers (DPIs) are asthma essentials.\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e\u003c/sup\u003e Due to medication adherence, inhaler efficacy may not match real-world or clinical effectiveness. Regular and proficient inhaled medication use is indicated by temporal and technique adherence. Previous adult studies found 12.0% \u0026ndash; 83.7% suboptimal inhaler technique\u003csup\u003e4\u0026ndash;6\u003c/sup\u003e and 17.4% \u0026ndash; 87.2% inhaler adherence.\u003csup\u003e\u003cspan additionalcitationids=\"CR8\" citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e In asthmatic children, it was found inhaler technique errors was 43% \u0026minus;\u0026thinsp;100% and only 34.6% of asthmatic children used DPI devices correctly.\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e Parental supervision, device training, and physical incompetence can cause child nonadherence. Poor inhaler technique and adherence can cause uncontrolled asthma in children despite effective medications.\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDespite adult studies showing challenges, children's DPI handling errors and treatment adherence have not been adequately studied.\u003csup\u003e\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e,\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e,\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e\u003c/sup\u003e Children's DPI inhaler technique and adherence are difficult to measure. Self-reporting and pharmacy refill checks are subjective and inaccurate.\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e Electronic monitors objectively track inhaler use.\u003csup\u003e\u003cspan additionalcitationids=\"CR18 CR19\" citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e Electronic monitors objectively track inhaler use. Previous studies using INCA found poor technique and low DPI adherence in COPD or asthma adults.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e Electronic inhaler reminders with biofeedback improved DPI therapy adherence.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e However, INCA can be disturbed by ambient noise and lacks inspiratory angle recording, which may affect dry powder deposits in the lungs but has been overlooked.\u003c/p\u003e \u003cp\u003eNo study has objectively assessed asthmatic children's electronic inhaler adherence and technique. We developed an electronic monitoring device for the salmeterol/fluticasone Diskus DPI inhaler (GSK, Uxbridge, UK) to address this issue. This flow velocity detector objectively measured DPI angle, interval, and duration. This was the first study to test a modified Diskus DPI with a pediatric asthmatic inhalation detector. This study objectively identified and quantified Diskus DPI error types and adherence in asthmatic children using inhalers. To inform individualized intervention, asthmatic children's adherence, technique errors, and DPI usage were studied.\u003c/p\u003e"},{"header":"2. Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003e2.1 Study design and participants\u003c/h2\u003e \u003cp\u003eThis was a prospective, single-blinded, self-controlled observational study. The study was conducted in a single center at the Children\u0026rsquo;s Hospital, Zhejiang University School of Medicine from November 2020 to February 2022 and was approved by the Ethical Committee of the hospital (2020 - TRB \u0026minus;\u0026thinsp;143). This study was conducted following the Declaration of Helsinki. All procedures were performed in accordance with relevant guidelines and regulations.\u003c/p\u003e \u003cp\u003eChildren and adolescents aged 4 to 16 years old with mild asthma were screened for eligibility and informed consent was obtained from all subjects and their legal guardians.Inclusion criteria and exclusion criteria were listed in the supplementary materials. Patients were treated with salmeterol/fluticasone Diskus DPIs (GSK, Uxbridge, UK) for asthma after discharge. Once informed consent was obtained from patients, a novel flow velocity detection device (Laikelide, Suzhou) was attached to the Diskus DPIs for monitoring patients\u0026rsquo; adherence. The study procedures were also detailed in the supplementary materials.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003e2.2 Instructions for the modified Diskus DPIs\u003c/h2\u003e \u003cp\u003eThe recording device of the modified Diskus DPIs consists of a dust cover, a battery, solid-state memory storage, a central processing unit, a gyroscope, a pressure sensor and a Bluetooth (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA - G). The device can be easily attached to the Diskus DPI and the time of use, inspiratory flow velocity, duration of use, the total volume of inhalation and holding angle during inhalation were recorded through the application connected with the device by Bluetooth, as illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. All of this information was compiled and uploaded to a cloud platform for further analysis (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eH,I). The specific components of the inhaler are described in the supplementary material.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e2.3 Outcome measures\u003c/h2\u003e \u003cp\u003eThe primary outcomes were the overall rates of different error types, including simple and compound error types, in asthmatic children using the modified Diskus DPIs. The angle (0\u0026ndash;30 degrees) was applied according to the FDA guideline to a previous study.\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eWe evaluated seven distinct simple error types: low peak inspiratory flow rate (PIFR), low volume, wrong angle, short duration, exhalation, multiple use, and missed use. Compound error types refer to original technique error, attempted error and modified technique error (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Secondary outcomes were the individual attempted adherence, use adherence and actual adherence to the modified Diskus DPIs (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\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\u003eDefinition of inhaler error types and individual adherence to Diskus DPIs in asthmatic children.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\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 \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eError types*/ Individual adherence\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eDefinitions\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eReferenced criteria\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e \u003cp\u003eSimple error types in the whole population\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMultiple use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eThe time interval between two uses of the device meets 1 h\u0026thinsp;\u0026le;\u0026thinsp;Δ t\u0026thinsp;\u0026le;\u0026thinsp;5 h.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDA guideline \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMissed use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eThe time interval between two uses of the device meets Δ t\u0026thinsp;\u0026gt;\u0026thinsp;15 h.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDA guideline \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLow PIFR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eThe value of PIFR accords with 0 L/min\u0026thinsp;\u0026lt;\u0026thinsp;PIFR\u0026thinsp;\u0026lt;\u0026thinsp;30 L/min.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDA guideline \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eExhalation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePIFR\u0026thinsp;\u0026lt;\u0026thinsp;0 L/min occurred during the use of the device.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDA guideline \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eShort duration\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eThe duration of a single-use device is less than 5 s. (t\u0026thinsp;\u0026lt;\u0026thinsp;5 s).\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDA guideline \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLow volume\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNo exhalation error occurs, and the total volume of inhaled gas is less than 2 L.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFDA guideline \u003csup\u003e\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eWrong angle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eThe angle of using the device is less than 0\u0026deg; or more than 30\u0026deg;.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eA thesis \u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eCompound error types for individual\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eOriginal technique error\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eThe above seven simple error types except multiple use and missed use.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAttempted error\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eMultiple use and missed use.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eModified technique error\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eTechnique error except short duration and low volume.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"3\" nameend=\"c3\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eIndividual adherence (The expected number of uses were 64 doses per patient)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAttempted adherence\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eThe percentage of the number of attempts to the expected number of uses.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eUse adherence\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eThe percentage of number of correct attempts (excluding multiple use and missed use) to the expected number of uses.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eActual adherence\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c3\" namest=\"c2\"\u003e \u003cp\u003eThe percentage of number of completely correct use to the expected number of uses.\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003e*Use for many times in a short time only counts as one use record, because it may be caused by poor contact of the device.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e2.4 Statistical analysis\u003c/h2\u003e \u003cp\u003eDescriptive statistics were used to present basic details for the included patients. Means\u0026thinsp;\u0026plusmn;\u0026thinsp;SDs or Medians (IQRs) are presented for continuous variables, and frequencies and percentages for categorical variables. The Shapiro-Wilk test was used to test the normality. For individual error rates and adherence, Mann-Whitney test was performed between subgroups. The Spearman correlation analysis were applied to identify possible correlations between various technical errors in inhaler use and patients\u0026rsquo; basic clinical features. Agglomerative hierarchical method and wards-linkage function with squared Euclidian distance were conducted to cluster patients. All the analyses except cluster analysis were performed using SPSS for Windows version 26.0 (IBM, USA). The level of statistical significance was set at \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.05. Cluster analysis was carried out by MATLAB R2022b (MathWorks, USA).\u003c/p\u003e \u003c/div\u003e"},{"header":"3. Results","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e3.1 Participant characteristics\u003c/h2\u003e \u003cp\u003eBetween November 2020 and February 2022, 168 asthmatic children were recruited and treated with the modified Diskus DPIs after discharge for a 32-day period. Forty patients (23.8%) were lost to follow-up, 128 patients (76.2%) completed the study, and a total of 4096 results were recorded. The majority of participants were boys (69%) with a mean age of 7.8 (standard deviation (SD), 2.0) years, mean BMI of 16.1 (SD, 2.4) and FEV\u003csub\u003e1\u003c/sub\u003e of 1.5 L (SD, 0.5) and 93.5% (SD, 16.0%) as predicted. In addition, 41 patients received desensitization treatment, while the other 68 patients did not.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e3.2 Overall error rates of Diskus DPI use among asthmatic children\u003c/h2\u003e \u003cp\u003eThe most often made simple error in DPI use included 4048 short duration events with an overall rate of 98.8%, followed by 3870 low volume events in 94.5% of asthmatic children, wrong angle (n\u0026thinsp;=\u0026thinsp;1363, 33.3%), low PIFR (n\u0026thinsp;=\u0026thinsp;998, 24.4%), exhalation (n\u0026thinsp;=\u0026thinsp;649, 15.8%), missed use (n\u0026thinsp;=\u0026thinsp;1143, 27.9%), and multiple use (n\u0026thinsp;=\u0026thinsp;33, 0.8%) (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA-H).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003e\u003cb\u003e3.3 Individual adherence of inhaler use among asthmatic children\u003c/b\u003e.\u003c/h2\u003e \u003cp\u003eMost patients used their modified Diskus DPIs irregularly: 26 children used the modified Diskus DPIs with excessive dosing, accounting for 33 multiple uses with a mean attempted multiple use error rate of 1.1% (SD, 2.7%); 127 children missed Diskus DPI doses, accounting for 1143 missed uses with a mean attempted missed use error rate of 35.0% (SD, 26.0%). In addition, the mean original technique error rate was 99.4% (SD, 3.3%), and the mean modified technique error rate was 73.0% (SD, 19.8%).\u003c/p\u003e \u003cp\u003eThe mean attempted adherence rate was 50.0% (SD, 25.1%). In addition, using a cut-off value of \u0026ge;\u0026thinsp;80% for good adherence\u003csup\u003e\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e, 14.8% of patients exhibited good attempted adherence, while 85.2% of patients did not (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eI). In addition, the mean use adherence rate was 35.6% (SD, 25.8%), and the mean actual adherence rate was 0.1% (SD, 0.9%). We discovered that the mean attempted adherence, use adherence, and actual adherence were significantly different (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001, Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eJ).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003e3.4 Factors related to the adherence of asthmatic children\u003c/h2\u003e \u003cp\u003eThe mean attempted error rates, mean original and modified technique error rates, and mean adherence rates between different subgroups were compared. The results showed that there was no significant difference in the attempted error rates or modified technique error rates or mean adherence rates among all subgroups. The mean original technique error rate was significantly different between desensitization treatment subgroups (\u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.034), while the difference between the two age and sex subgroups was not (Supplementary table \u003cspan refid=\"MOESM1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eSpearman correlation analysis showed that a low PIFR error rate had a strong negative correlation with the age and FEV\u003csub\u003e1\u003c/sub\u003e of asthmatic children (r = -0.240 and \u0026minus;\u0026thinsp;0.261, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.006 and 0.003, respectively) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eA,B). In addition, the exhalation and missed use error rates both had a significant positive correlation with FEV\u003csub\u003e1\u003c/sub\u003e (r\u0026thinsp;=\u0026thinsp;0.199 and 0.214, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.025 and 0.016, respectively) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eC,D). The low volume error rate showed a significant positive correlation with FEV\u003csub\u003e1\u003c/sub\u003e% (r\u0026thinsp;=\u0026thinsp;0.208, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.019) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eE). In addition, we found that asthmatic children who did not receive desensitization treatment had fewer short duration errors but more low PIFR errors (r = -0.129 and 0.238, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.013 and 0.007, respectively) (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eF,G).\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec12\" class=\"Section2\"\u003e \u003ch2\u003e3.5 Clustering of the patterns of inhaler use\u003c/h2\u003e \u003cp\u003eWe also characterized patterns of Diskus DPI adherence by cluster patients based on the attempted adherence rate, normal technique error rate and modified technique error rate (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eA). Almost all children did not adhere to the FDA's recommendation (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eB). Thus, after excluding duration and volume index, we reclustered participants (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003eC). Hierarchical clustering indicated 4 well-separated clusters of approximately equal size corresponding to distinct patterns of behavior. Cluster 1 (n\u0026thinsp;=\u0026thinsp;11; 8.6%) was defined by a high percentage of attempted adherence (mean, 81.2%), intentional adherence and a low rate of technique error (mean, 38.0%), unintentional nonadherence. Cluster 2 (n\u0026thinsp;=\u0026thinsp;54; 42.2%) was characterized by a high rate of attempted adherence (mean, 68.5%) and a high rate of technique error (mean, 73.7%). Cluster 3 (n\u0026thinsp;=\u0026thinsp;21; 16.4%) was characterized by a low percentage of attempted adherence (mean, 22.8%) and technique error (mean, 58.5%). Cluster 4 (n\u0026thinsp;=\u0026thinsp;29; 22.7%) was characterized by a low rate of attempted adherence (mean, 27.9%) and intentional adherence and a high error rate (mean, 94.0%) and unintentional nonadherence, leading to poor actual adherence.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"4. Discussion","content":"\u003cp\u003eThis study examined 128 asthmatic children's use of modified Diskus DPIs with flow velocity detection devices. Fewer asthmatic children (14.8%) had adherence rates\u0026thinsp;\u0026ge;\u0026thinsp;80% to DPI usage. When technique errors and dose intervals were considered, the mean actual adherence rate was 0.1%. An observational study of 103 adult asthma and COPD patients in Ireland found that only 50% had an attempted adherence rate\u0026thinsp;\u0026ge;\u0026thinsp;80%, with a mean actual adherence rate of 47%.\u003csup\u003e24\u003c/sup\u003e In adults, 19% of 48 asthma and COPD patients had an attempted adherence rate\u0026thinsp;\u0026ge;\u0026thinsp;80%, with a mean actual adherence rate of 42.7%.\u003csup\u003e16\u003c/sup\u003e Our study demonstrated that children's adherence was significantly lower than the adults'. We also found a significant difference between attempted and actual adherence, suggesting that technique errors could lower actual adherence even in those with good intentional adherence. Asthmatic children's DPI duration and volume often mismatch FDA guidelines due to physiological differences. Thus, we excluded these two factors from cluster analysis. Most patients (42.2%) were in cluster 2, which had good attempted adherence but poor technique. This shows that DPI technique issues persist despite good adherence.\u003c/p\u003e \u003cp\u003eThe adherence was much lower than expected, especially for DPI techniques. No criteria exist for DPI use in children. In 179 COPD and 103 asthma/COPD patients, low PIFR and multiple use errors were the most common technique errors.\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e,\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e\u003c/sup\u003e Another observational study found that multiple use and short duration technique errors were most common.\u003csup\u003e\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e Short duration, low volume, and wrong angle were the most common DPI use concerns among children, while multiple use and exhalation, which are traditionally the most common errors, were underrepresented. Due to physiological and anatomical differences in respiratory system and lung function between children and adults and children's imperfect neuropsychological cognitive development, inhaler use did not meet FDA standards. Children had a lower probability of multiple use errors than adults, possibly due to their lower medicine use proclivity and self-motivation. Our study found no effects of inhalation angle on asthmatic children's DPI adherence. It's a crucial but overlooked factor. A simulation study found that poor angles cause medication particles to deposit in improper locations and degrade efficiency, suggesting angles should be further characterized.\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e DPI use guidelines for adherence and technique are difficult to choose, and there are no recommendations for children. We found that most children did not follow FDA inhaler usage guidelines. Our findings suggest that this FDA guideline may only apply to adults, while the DPI guideline for children requires specific instructions. Normal 4- to 12-year-old children's lung capacity is 1/4 to 1/6 of adults', and their airways are smaller. Aerodynamic modelling experiments and clinical studies may help establish DPI guidelines for children of different ages.\u003c/p\u003e \u003cp\u003eWe found that the probability of having a low PIFR error was inversely related to age and FEV\u003csub\u003e1\u003c/sub\u003e, suggesting that children's undeveloped cognitive and physical abilities may be addressed as they grow up. Exhalation, missed use, and low volume error rates increased with FEV\u003csub\u003e1\u003c/sub\u003e and FEV\u003csub\u003e1\u003c/sub\u003e%. Lower PIFR errors were less common in asthmatic children who received desensitisation. Patients and their carers pay more attention to illness depending on their fundamental lung function and whether they receive desensitisation therapy, which can explain the above phenomena. Thus, inhaler devices that adapt to children's anatomical, physiological, and psychological cognition characteristics and patient and carer education to control these factors are urgently needed. Understanding patients' DPI use patterns can also help develop personalised adherence interventions or interventions.\u003c/p\u003e \u003cp\u003eThis was a single-center observational study. A large-scale multicenter study among children with moderate and severe asthma using the device to examine how electronic monitoring devices affect inhaler use and asthma control to establish a theoretical and experimental foundation for inhaler use standards and child-friendly equipment. For ethical reasons, we recruited children with mild asthmatic symptoms. Therefore, the results may underestimate adherence in children with severe asthmatic symptoms, who intentionally need better disease control. Fortunately, the patients and parents gave no negative feedback, allowing us to safely perform multicenter studies using the device in children with severe asthma. Moreover, only the use of one of the most popular inhalers was examined, more work should be done on other popular dry powder inhalers like Symbicort turbuhalers.\u003c/p\u003e \u003cp\u003eOur research objectively showed the main types and proportions of technique errors asthmatic children made when using modified Diskus DPIs for the first time and demonstrated that their real-world DPI use was poor. Meanwhile, age, basic lung function, and desensitisation treatment status were linked to DPI use in asthmatic children. This emphasises the need for standardized training and close supervision of DPI use in asthmatic children and the need for special inhalers for physically and intellectually unable to adhere.\u003c/p\u003e \u003cp\u003e \u003cb\u003eContributors\u003c/b\u003e \u003c/p\u003e \u003cp\u003eYX, LW and YW conceived and designed the study. YX, JS, CZ, SL, XY and LW conducted the experiment, collected the data and participated the analysis of results. JS, CZ and QQ analyzed the results and made the figures. HR developed and provided the electronic device. JS and YX wrote and revised the manuscript. QQ participated in the data analysis and interpretation. LW, YW and YW provided funding support.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e \u003ch2\u003eDeclaration of interests\u003c/h2\u003e \u003cp\u003eThe authors have no financial conflicts of interest.\u003c/p\u003e \u003c/p\u003e\u003cp\u003e \u003ch2\u003eData sharing\u003c/h2\u003e \u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e \u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e \u003cp\u003eThis work was supported by Grants from the National Natural Science Foundation of China (No. 82173819 to YX, No. 62076218 to YW); the National Key R\u0026amp;D program of China (No. 2019YFE0126200 to YW); the Zhejiang Province Public Welfare Technology Application Research Project (No. LGF22H010002 to LW).\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eYX, LW and YW conceived and designed the study. YX, JS, CZ, SL, XY and LW conducted the experiment, collected the data and participated the analysis of results. JS, CZ and QQ analyzed the results and made the figures. HR developed and provided the electronic device. JS and YX wrote and revised the manuscript. QQ participated in the data analysis and interpretation. LW, YW and YW provided funding support.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eThe language is edited by the American Journal Experts (AJE) with the verification code D9EB-76D8-24A1-33C7-1CFP.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets used and/or analysed during the current study available from the corresponding author on reasonable request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003ePapi, A., Brightling, C., Pedersen, S. E. \u0026amp; Reddel, H. K. Asthma. Lancet 391, 783\u0026ndash;800, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/S0140-6736(17)33311-1\u003c/span\u003e\u003cspan address=\"10.1016/S0140-6736(17)33311-1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2018).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDisease, G. B. D., Injury, I. \u0026amp; Prevalence, C. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990\u0026ndash;2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 392, 1789\u0026ndash;1858, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/S0140-6736(18)32279-7\u003c/span\u003e\u003cspan address=\"10.1016/S0140-6736(18)32279-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2018).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDevonshire, A. L. \u0026amp; Kumar, R. Pediatric asthma: Principles and treatment. Allergy Asthma Proc 40, 389\u0026ndash;392, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.2500/aap.2019.40.4254\u003c/span\u003e\u003cspan address=\"10.2500/aap.2019.40.4254\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2019).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHarnett, C. M. \u003cem\u003eet al.\u003c/em\u003e A study to assess inhaler technique and its potential impact on asthma control in patients attending an asthma clinic. J Asthma 51, 440\u0026ndash;445, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3109/02770903.2013.876650\u003c/span\u003e\u003cspan address=\"10.3109/02770903.2013.876650\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2014).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAl-Jahdali, H. \u003cem\u003eet al.\u003c/em\u003e Improper inhaler technique is associated with poor asthma control and frequent emergency department visits. Allergy Asthma Clin Immunol 9, 8, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1186/1710-1492-9-8\u003c/span\u003e\u003cspan address=\"10.1186/1710-1492-9-8\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2013).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFink, J. B. \u0026amp; Rubin, B. K. Problems with inhaler use: a call for improved clinician and patient education. Respir Care 50, 1360\u0026ndash;1374; discussion 1374\u0026thinsp;\u0026ndash;\u0026thinsp;1365 (2005).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBrown, M. \u003cem\u003eet al.\u003c/em\u003e Children in the ACT with asthma\u0026ndash;are they taking preventer medication according to guidelines? Aust Fam Physician 39, 146\u0026ndash;149 (2010).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChen, S. H., Yin, T. J. \u0026amp; Huang, J. L. An exploration of the skills needed for inhalation therapy in schoolchildren with asthma in Taiwan. Ann Allergy Asthma Immunol 89, 311\u0026ndash;315, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/s1081-1206(10)61960-6\u003c/span\u003e\u003cspan address=\"10.1016/s1081-1206(10)61960-6\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2002).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMilgrom, H. \u003cem\u003eet al.\u003c/em\u003e Noncompliance and treatment failure in children with asthma. J Allergy Clin Immunol 98, 1051\u0026ndash;1057, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/s0091-6749(96)80190-4\u003c/span\u003e\u003cspan address=\"10.1016/s0091-6749(96)80190-4\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (1996).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eGillette, C., Rockich-Winston, N., Kuhn, J. A., Flesher, S. \u0026amp; Shepherd, M. Inhaler Technique in Children With Asthma: A Systematic Review. Acad Pediatr 16, 605\u0026ndash;615, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.acap.2016.04.006\u003c/span\u003e\u003cspan address=\"10.1016/j.acap.2016.04.006\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2016).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCapanoglu, M., Dibek Misirlioglu, E., Toyran, M., Civelek, E. \u0026amp; Kocabas, C. N. Evaluation of inhaler technique, adherence to therapy and their effect on disease control among children with asthma using metered dose or dry powder inhalers. J Asthma 52, 838\u0026ndash;845, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3109/02770903.2015.1028075\u003c/span\u003e\u003cspan address=\"10.3109/02770903.2015.1028075\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2015).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSasaki, M. \u003cem\u003eet al.\u003c/em\u003e Factors associated with asthma control in children: findings from a national Web-based survey. Pediatr Allergy Immunol 25, 804\u0026ndash;809, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/pai.12316\u003c/span\u003e\u003cspan address=\"10.1111/pai.12316\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2014).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eRabe, K. F. \u003cem\u003eet al.\u003c/em\u003e Worldwide severity and control of asthma in children and adults: the global asthma insights and reality surveys. J Allergy Clin Immunol 114, 40\u0026ndash;47, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jaci.2004.04.042\u003c/span\u003e\u003cspan address=\"10.1016/j.jaci.2004.04.042\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2004).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBrocklebank, D. \u003cem\u003eet al.\u003c/em\u003e Comparison of the effectiveness of inhaler devices in asthma and chronic obstructive airways disease: a systematic review of the literature. Health Technol Assess 5, 1\u0026ndash;149, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3310/hta5260\u003c/span\u003e\u003cspan address=\"10.3310/hta5260\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2001).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eYildiz, F. Importance of inhaler device use status in the control of asthma in adults: the asthma inhaler treatment study. Respir Care 59, 223\u0026ndash;230, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.4187/respcare.02478\u003c/span\u003e\u003cspan address=\"10.4187/respcare.02478\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2014).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHesso, I., Nabhani Gebara, S., Greene, G., Co Stello, R. W. \u0026amp; Kayyali, R. A quantitative evaluation of adherence and inhalation technique among respiratory patients: An observational study using an electronic inhaler assessment device. Int J Clin Pract 74, e13437, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1111/ijcp.13437\u003c/span\u003e\u003cspan address=\"10.1111/ijcp.13437\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2020).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMerchant, R. K., Inamdar, R. \u0026amp; Quade, R. C. Effectiveness of Population Health Management Using the Propeller Health Asthma Platform: A Randomized Clinical Trial. J Allergy Clin Immunol Pract 4, 455\u0026ndash;463, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jaip.2015.11.022\u003c/span\u003e\u003cspan address=\"10.1016/j.jaip.2015.11.022\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2016).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFoster, J. M. \u003cem\u003eet al.\u003c/em\u003e Inhaler reminders improve adherence with controller treatment in primary care patients with asthma. \u003cem\u003eJ Allergy Clin Immunol\u003c/em\u003e 134, 1260\u0026ndash;1268 e1263, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jaci.2014.05.041\u003c/span\u003e\u003cspan address=\"10.1016/j.jaci.2014.05.041\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2014).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFoster, J. M. \u003cem\u003eet al.\u003c/em\u003e The reliability and patient acceptability of the SmartTrack device: a new electronic monitor and reminder device for metered dose inhalers. J Asthma 49, 657\u0026ndash;662, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.3109/02770903.2012.684253\u003c/span\u003e\u003cspan address=\"10.3109/02770903.2012.684253\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2012).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eChan, A. H., Harrison, J., Black, P. N., Mitchell, E. A. \u0026amp; Foster, J. M. Using electronic monitoring devices to measure inhaler adherence: a practical guide for clinicians. J Allergy Clin Immunol Pract 3, 335\u0026ndash;349 e331-335, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jaip.2015.01.024\u003c/span\u003e\u003cspan address=\"10.1016/j.jaip.2015.01.024\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2015).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSulaiman, I. \u003cem\u003eet al.\u003c/em\u003e Objective Assessment of Adherence to Inhalers by Patients with Chronic Obstructive Pulmonary Disease. Am J Respir Crit Care Med 195, 1333\u0026ndash;1343, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1164/rccm.201604-0733OC\u003c/span\u003e\u003cspan address=\"10.1164/rccm.201604-0733OC\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2017).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eFang, H. Numerical and experimental study on the transport and deposition mechanisms of inhaled dry powders in upper respiratory tracts[D]. Southeast University. doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.27014/d.cnki.gdnau.2021.000301\u003c/span\u003e\u003cspan address=\"10.27014/d.cnki.gdnau.2021.000301\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2021).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eMakela, M. J., Backer, V., Hedegaard, M. \u0026amp; Larsson, K. Adherence to inhaled therapies, health outcomes and costs in patients with asthma and COPD. Respir Med 107, 1481\u0026ndash;1490, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.rmed.2013.04.005\u003c/span\u003e\u003cspan address=\"10.1016/j.rmed.2013.04.005\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2013).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSulaiman, I. \u003cem\u003eet al.\u003c/em\u003e Irregular and Ineffective: A Quantitative Observational Study of the Time and Technique of Inhaler Use. \u003cem\u003eJ Allergy Clin Immunol Pract\u003c/em\u003e 4, 900\u0026ndash;909 e902, doi:\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1016/j.jaip.2016.07.009\u003c/span\u003e\u003cspan address=\"10.1016/j.jaip.2016.07.009\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e (2016).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eDraft Guidance on Fluticasone Propionate; Salmeterol Xinafoate. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.accessdata.fda.gov/drugsatfda_docs/psg/PSG_208799.pdf\u003c/span\u003e\u003cspan address=\"https://www.accessdata.fda.gov/drugsatfda_docs/psg/PSG_208799.pdf\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"pediatric asthma, Diskus dry powder inhaler, adherence, electronic device","lastPublishedDoi":"10.21203/rs.3.rs-4666018/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4666018/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e \u003cp\u003eSuboptimal adherence to asthma medication is one of the major causes of asthma exacerbation. Currently, there is no report on the objective and scientific evaluation of medication adherence among asthmatic children. We aimed to identify and quantify adherence and techniques of using dry powder inhalers (DPIs) among pediatric asthmatic patients with a newly developed electronic device that can monitor the use pattern of DPIs during inhalation.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e \u003cp\u003eA prospective, single-center, observational cohort study was conducted. On discharge from the hospital, pediatric asthmatic patients were given Diskus DPIs with attached electronic devices. The frequency, flow velocity, volume, duration and angle were analyzed to determine the adherence and technical proficiency of DPI use.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003ePediatric asthmatic patients (n\u0026thinsp;=\u0026thinsp;128) with a mean age of 7.8 years, a mean forced expiratory volume in 1 second (FEV\u003csub\u003e1\u003c/sub\u003e) of 1.5 L, and a mean FEV\u003csub\u003e1\u003c/sub\u003e% of 93.5% were recruited. Total 4096 results were recorded. The most common error types were short duration (98.8%), low volume (94.5%), wrong angle (33.3%), missed use (27.9%), low peak inspiratory flow rate (PIFR) (24.4%), exhalation (15.8%) and multiple use (0.8%). The mean actual adherence was 0.1% (standard deviation (SD), 0.9%). The errors in Diskus DPI use were correlated with asthmatic children's age, basic lung function, and desensitization treatment status.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e \u003cp\u003eOur study is the first to objectively characterize the primary types and proportions of technique errors among asthmatic children using modified Diskus DPIs and revealed that asthmatic children\u0026rsquo;s real-world actual adherence to DPIs was unsatisfactory.\u003c/p\u003e","manuscriptTitle":"Objective Assessment of Adherence to Dry Powder Inhalers Attached with Flow Velocity Detection Devices in Asthmatic Children: a cohort study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-09 20:29:24","doi":"10.21203/rs.3.rs-4666018/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"
[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"e15af421-dcd6-4864-a8c6-a0a01a892af3","owner":[],"postedDate":"August 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":35213181,"name":"Health sciences/Diseases/Respiratory tract diseases/Asthma"},{"id":35213182,"name":"Health sciences/Health care/Paediatrics/Paediatric research"}],"tags":[],"updatedAt":"2024-11-06T07:08:40+00:00","versionOfRecord":[],"versionCreatedAt":"2024-08-09 20:29:24","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4666018","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4666018","identity":"rs-4666018","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.