Usability Study of the Mommy-Be App: Exploring the Experience of Breastfeeding Mothers in Eastern Indonesia

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This study aims to evaluate the usability of Mommy-Be, a mobile phone app designed to support breastfeeding women and help them to acknowledge of their mental health and breastfeeding efficacy during lactation period. This study combines quantitative and qualitative methods, that asses Mommy-Be app's usability among breastfeeding mothers using the Mobile Application Usability Questionnaire (MAUQ) and conducted in-depth interviews with a subset of participants. The study included 50 breastfeeding mothers in Makassar, Indonesia, who were primarily between the ages of 19 and 42 and had diverse educational and employment backgrounds. Four weeks after using the Mommy-Be app, revealed a generally positive impression of the application. Based on MAUQ three dimensions, ease of use, interface satisfaction, usefulness, this study has been determined that the utilization of a Mommy-Be application is both acceptable and feasible as a mobile health (mHealth) solution for breastfeeding mothers. The mothers experience revealed diverse user impressions of the Mommy-Be application. Participants generally found it easy to use, with a favorable interface preference. Participants expressed various benefits of using Mommy-Be, including increased awareness of breastfeeding activities, assistance in meeting nutritional needs, and early detection of postpartum depressive disorders. However, challenges were identified, such as the inability to export data, lack of module integration, and dependence on an active internet connection. To enhance the application's utility, participants suggested improvements, such as data export capabilities, better module integration, consideration of the target audience's resources regarding internet access and the inclusion of educational content, such as the provision of interconnection with multiple lactation counsellors. breastfeeding mental health Mommy-Be mHealth app MAUQ usability Figures Figure 1 Figure 2 Introduction In recent years, the use of mobile health (mHealth) applications has gained significant attention in the healthcare field. mHealth apps have the potential to become powerful tools in supporting breastfeeding mothers and preventing postpartum depression (PPD). Scientific literature acknowledges the importance of breastfeeding as a means to promote both maternal and child health. Similarly, the prevention and management of PPD significantly contribute to the overall well-being of mothers. Several scientific articles have recognized the potential of mHealth apps in addressing these concerns. An intervention study evaluated the usefulness of mHealth app in supporting breastfeeding mother, and this study state the app could be a useful self-management tool for Thai breastfeeding mothers. Furthermore, the qualitative analysis showed that the app supports breastfeeding on demand, but its flow and inputs should be more intuitive [ 1 ]. A systematic review and meta-analysis on 15 RCTs highlighted that mHealth apps can play a vital role in providing breastfeeding education, counseling, and support to mothers. Interventions based on mHealth can significantly improve the rate of postpartum exclusive breastfeeding, breastfeeding efficacy, and participants' attitudes toward breastfeeding, and reduce health problems in infants [ 2 ]. Another systematic review on effectiveness of technology-based interventions in promoting breastfeeding, have proven to be effective to improve antenatal care and postnatal care services, especially those that are aimed at changing behavior of pregnant women and women in postnatal period. This study also found that mHealth apps can provide accurate and reliable information on breastfeeding practices, allowing mothers to make informed decisions. The mHealth role delivered through smartphones have the potential to reach a large number of women, thanks to the widespread availability and usage of smartphones or android platform. This indicates that mHealth apps are a feasible solution to support breastfeeding mothers on a large scale, especially in low- and middle-income countries [ 3 ]. Numerous studies have investigated the effectiveness of mHealth apps in supporting breastfeeding mothers, demonstrated that mHealth apps can significantly improve breastfeeding self-efficacy and satisfaction among mothers compared to traditional supportive methods. Enhanced self-efficacy is a crucial factor in successful lactation, as it helps mothers develop confidence and cope with the challenges of breastfeeding. Furthermore, mHealth apps can track breastfeeding patterns, offer reminders, and provide immediate access to lactation consultants, thus promoting successful and sustained breastfeeding [ 4 ]–[ 7 ]. On other condition, breastfeeding challenging situation often collocate mother into risk of Postpartum Depression (PPD). There’s an immerse literature stated that breastfeeding and PPD are two inferential causes related to each other on two pathways, it can be a cause or an effect [ 8 ], [ 9 ]. Similar to breastfeeding, mHealth approach in preventing PPD also provide a positive outcome. According to 9 RCTs with a total of 1958 women with PPD finds that the EPDS and anxiety scores were significantly lower in the telehealth group compared with the control group. Significant subgroup differences were found in depressive symptoms according to the severity of PPD, telehealth technology, specific therapy, and follow-up time [ 10 ]. A study investigated the effects of mobile health application designed based on mindfulness and social support theory on parenting self-efficacy and postpartum depression symptoms of puerperae, shows perceived social support, maternal parental self-efficacy were significantly higher and postpartum depressive symptoms was significantly lower from using the app [ 11 ]. A randomized controlled trial on a large sample in Japanese mothers, imposes higher self-efficacy, less loneliness, and fewer perceived barriers to healthcare access compared to those in regular care group [ 12 ]. The use of mHealth apps to help breastfeeding mothers and prevent postpartum depression (PPD) holds a lot of promise. These apps, can play an important role in improving the well-being of breastfeeding mothers and reducing the prevalence of PPD by providing accurate information, support, and early intervention. Uncertainty about the sufficiency of the baby's milk intake is a major concern for breastfeeding mothers, particularly in the first week after birth. This uncertainty, which is frequently fueled by a mother's inability to recognize breastfeeding patterns based on frequency and duration of sessions, can erode a mother's confidence and lead to stressful situations. Furthermore, maternal mental health during breastfeeding is still poorly understood, particularly in developing countries. As a result, there is a need to bridge the gap by raising mothers' awareness of potential mental health challenges while breastfeeding. Therefore, the purpose of this study is to evaluate the usability and utility of Mommy-Be, a mobile app designed to support breastfeeding women and raise their mental health awareness during the breastfeeding period in Middle Indonesia. Methods Study Design This study employs a combination of quantitative and qualitative research methods. The usability of the Mommy-Be application was evaluated using a quantitative methodology. A quantitative descriptive analysis was conducted to examine the utilization and acceptance of Mommy-Be, employing the Mobile Application Usability Questionnaire (MAUQ). The chosen tool exhibits resemblances in terms of language and context to the instrument's original development and validation [ 13 ]. The instrument comprises a total of eighteen items, which are categorized into three domains: ease of use (consisting of five items), satisfaction and interface (consisting of seven items), and usability (consisting of six items). This study also used a single group pre-post approach (pretest-posttest only design), with participating mothers being assessed for breastfeeding efficacy using the BSEF-SF [ 14 ] and potential postpartum depression using the EPDS [ 15 ] instrument before and after the Mommy-Be experiencing period. A qualitative methodology was employed, utilizing in-depth interviews with a specific subset of breastfeeding mothers. This subset was chosen selectively from 50 participants who possessed an Android cellphone or tablet and expressed willingness to utilize the application for a continuous duration of one to four weeks. The objective of this interview was to acquire a thorough comprehension of the utilization and acceptability of the Mommy-Be application in assisting breastfeeding mothers and enhancing awareness regarding their mental health conditions. In addition to this, the participants were also extended invitations to participate in telephone interviews subsequent to their completion of the application for a continuous duration of four weeks. App Description The study employed a research methodology that involved the utilization of a mobile health application known as Mommy-Be, an acronym for Mother Oriented Mental Health Monitoring and Breastfeeding Evaluation. The software application referred to as "Mommy-Be" is designed with the specific purpose of providing support and facilitating access to a range of resources for mothers who have recently undergone childbirth and are actively involved in the act of breastfeeding. This application comprises a range of modules and features that have the potential to enhance lactation productivity and raise awareness of mental health disorders among breastfeeding mothers. The application encompasses a collection of modules, which include: The module on infant feeding and growth monitoring focuses on the assessment and management of nutrition in infants. The breastfeeding timer allows users to initiate and terminate the timer in order to document the duration of individual breastfeeding sessions. The module of diaper changes: This module enables users to monitor and record instances of diaper changes, encompassing both wet and soiled diapers. By doing so, it offers valuable information on the sufficiency of the baby's breast milk consumption, estimating the frequency of urination and defecation. Growth Metrics: Users have the ability to document their infant's weight, height, and head circumference at various intervals, facilitating the tracking of the infant's growth and development, as well as maintaining records of immunizations. Sleep Tracking: Individuals have the ability to document the sleep patterns of their infants, encompassing both daytime naps and nighttime sleep duration, with the aim of establishing a consistent sleep schedule and facilitating the process of sleep training for mothers. The Maternal Nutrition Intake Module includes a feature for food logging, where users can document their daily food consumption. By inputting details such as food type, size, and portion, the module can automatically calculate the user's daily caloric allowance requirement. Weight Monitoring: Individuals have the ability to record and monitor their weight longitudinally, enabling them to assess postpartum weight reduction and gain valuable understanding of the potential for post-pregnancy obesity. A module designed for the early detection of postpartum depression and the promotion of increased mental health awareness. The Mental Health Assessment module offers a questionnaire consisting of 10 items, which serves as a tool for users to assess their mental well-being. Users are able to complete this questionnaire in order to evaluate their mental health. The present assessment encompasses various domains, including stress, anxiety, depression, and overall mental well-being. Identification of Risk Factors: The module utilizes the assessment results to identify potential risk factors and delivers personalized feedback to users. This feedback includes information on whether they are at risk of developing specific mental health conditions, which are linked to their obstetric conditions and nutritional status. Recruitment Convenience sampling was used for each participant received an invitation link through the messaging platform WhatsApp, which allowed them to download the Mommy-Be application. Prior to initiating the download process, users are provided with a comprehensive video tutorial that elucidates the steps involved in registering and navigating the application's menu interface. Nursing mothers are provided with limited support from ten skilled research assistants in order to facilitate their proficiency in utilizing the application until they have effectively mastered all of its available features. This study included breastfeeding mothers with babies under two years, had prior experience with Android phones, and had no history of mental health disorders. In August 2023, a four-week period is designated for granting mothers access to a smartphone application. Subsequently, individuals are requested to provide their signature on a written consent form, indicating their willingness to engage as research participants for a duration of four consecutive weeks. Additionally, they are expected to complete a questionnaire assessing the utility of the Mommy-Be application, based on their personal experience. They were also asked to fill out the breastfeeding efficacy form twice, once before and once after using the app. The EPDS score was calculated using data from the mothers' initial and final screenings on the app. Each participant underwent an initial interview before commencing the study protocol, which was followed by a four-week period during which the participants were provided with the application for utilization. Following the designated period, interviews were conducted subsequent to the use of the application in order to evaluate its acceptability and usability. The two sessions were conducted individually and recorded in audio format with the intention of conducting qualitative analysis. The participants were chosen from two primary healthcare centers (Puskesmas) situated in the urban area of Makassar, South Sulawesi, Indonesia. The choice of this facility is predicated upon its appropriateness for accommodating patients who are mothers and children. Furthermore, the choice to employ the identical site as previous investigations[ 9 ], [ 15 ]–[ 17 ] was made with the aim of maintaining coherence in the examination of advancements in maternal and mental health provisions. Ethics The research procedures employed in this study have undergone a comprehensive review and obtained approval from the ethics committee at the Nani Hasanuddin School of Nursing. Result Sociodemographic After the completion of data collection and interviewing sessions, the survey involving 50 breastfeeding mothers from two primary health care centers in Makassar, Indonesia was successfully concluded. The participants in this study primarily comprise individuals aged between 19 to 42 years, who have undergone multiple pregnancies and possess a higher level of educational achievement. There are notable two fold between individuals who are employed and those who engage in full-time homemaking. The participants are currently engaged in the practice of providing breast milk to infants who are younger than six months of age. The method of delivery is dominated by vaginal delivery, which is handled by both midwives and obstetricians. Most women deliver in hospitals on a referral basis as some may have complications that require surgery. Table 1 Participant demographics Baseline Characteristics Value (%) n = 50 Parity Primipara 18 (36,0) Multipara 32 (64,0) Education Basic 4 (8,0) Middle 20 (40,0) Graduated 26 (52,0) Occupation Housewife 37 (74,0) Working mothers 13 (26,0) Type of Birth Spontaneous 34 (68,0) Caesarian 16 (32,0) Birth Helper Midwife 27 (54,0) Obstetrician 23 (46,0) Birth Place Hospitals 37 (74,0) Primary Care Clinics 13 (26,0) According to Table 2 , the study group is diverse, with a mean maternal age of 28.5 years and a range of 9 to 42 years. This range's standard deviation of 6.3 shows maternal age variability, reflecting participant individuality. Typical maternity leave is 2.5 months, ranging from 1 to 6 months. The standard deviation of 2.4 indicates heterogeneous maternity leave duration choices. Transport distances range from 0.1 to 13 km, but workplaces are 1.7 km on average. The high 3.5 standard deviation emphasizes diversity. Infants are 0.5 to 17.5 months old and average 4.9 months. Infant age variation is shown by the sample's 12.0 standard deviation. The average birth interval is 3.0 years, ranging from 0 to 11. Based on the high standard deviation of 9.5, birth intervals vary widely among participants. Birth weight averages 3093.6 grams, ranging from 1700 to 6000. The sample's birth weight variability is shown by the 632.5 standard deviation. The average Mommy-Be use was 13.8 days, ranging from 5 to 30. Standard deviation of 5.3 shows Mommy-Be use duration varies among participants. Moderate prenatal and postpartum depression scores improved slightly. This implies a complicated postpartum mental health trajectory. Postpartum, breastfeeding self-efficacy rises significantly. Breastfeeding confidence has increased postpartum. Table 2 Descriptive analysis for numerical variable Items Mean n = 50 Range SD Mothers Age 28.5 19–42 6.3 Babies Age (Month) 4.9 0.5–17.5 12.0 Birth Interval Year 3.0 0–11 9.5 Baby Birth Weight 3093.6 1700–6000 632.5 Maternity Leave Months (n = 13) 2.5 1–6 2.4 Distance from Workplaces in km (n = 13) 1.7 0.1–13 3.5 Mommy-Be Use Days 13.8 5–30 5.3 Postpartum Depression Score Before 10.9 1–20 4.5 After 9.3 1–17 3.1 Breastfeeding Self-Efficacy Score Before 37.9 14–61 11.9 After 49.4 25–69 10.6 The study used a Wilcoxon Signed Rank Test to compare Postpartum Depression and Breastfeeding Efficacy scores before and after using Mommy-Be. Results in Fig. 1 showed a significant decrease in postpartum depression scores after using Mommy-Be, while breastfeeding efficacy scores improved significantly. The negative rankings indicate a positive change, indicating the potential positive impact of Mommy-Be on breastfeeding self-efficacy. The results suggest that using Mommy-Be can significantly reduce postpartum depression and increase breastfeeding efficacy. The study found a significant relationship between the length of time mothers used Mommy-Be and changes in Postpartum Depression Score (EPDS) scores. The correlation coefficient was − 0.379, indicating a weak negative relationship, suggesting a possible association between increased use and lower scores. The correlation coefficient of 0.619, indicating a strong positive relationship, indicated a strong positive relationship between increased use and increased breastfeeding self-efficacy. These findings support the idea that Mommy-Be use is related to increased breastfeeding confidence and efficacy, indicating its potential therapeutic impact in reducing postpartum depressive symptoms. Table 3 Spearman Correlation Variable Coefficient Correlation P Value Mommy-Be Used Day and Delta EPDS Score -0.379 0.007 Mommy-Be Used Day and Delta BSESF Score 0.619 0.000 The MAUQ was used to explore how the mother experience after using this application four week in a row. The MAUQ was consisting of seven-point Likert scale for subjective opinion from strongly disagree to strongly agree. The descriptive score of 50 participant presented in Table 4 . According to the descriptive table's data, the average rating for each participant assessment item is vary between three to six. This shows that users have a different impression after using this app. On the ease-of-use dimension, respondents rated it generally good with an average score of 5.8 to 6.1, meaning that it was easy to master how to use the app and apply it during breastfeeding. This is possible because they are generally already familiar with android apps. For the function dimension of the app interface, especially the interface preference item got the most favorable rating among all with the lowest score of four. The item comfort of use, still within the interface dimension, was rated quite low by mothers with a mean score of 4.3, this may be due to its relation to the comfort of breastfeeding mothers in public making them rate it as such. In the usability dimension, the use of applications that must be based on a strong internet connection received the lowest rating with a mean score of 3.8. This online-based application is a common source of complaints, as it is inconvenient for those who do not always have an active network quota on their mobile devices, in addition to the fact that the environment does not yet show equal distribution of free internet access. So this can be an input for development, that this application needs to consider the resources of the target audience. Each participant must have an active quota and network connection for the Mommy-Be application to function. Table 4 Descriptive quantitative analysis of Mommy-Be Usefulness Items Mean n = 50 Range SD Ease of Use The app was easy to use 6.1 3–7 0.9 It was easy for me to learn to use the app 6.0 3–7 0.8 The navigation was consistent when moving between screens 5.8 2–7 1.1 The app's interface allowed me to use all the functions offered by the app 6.0 2–7 1.0 Whenever I made a mistake using the app, I could quickly recover 5.9 2–7 1.2 Interface and Satisfaction I like the interface of the app 5.9 4–7 0.9 The information in the app was well organized, so I could easily find the information I needed 6.0 2–7 0.9 The app adequately acknowledged and provided information to let me know the progress of my action. 5.9 2–7 1.1 I feel comfortable using this app in social settings 4.3 2–5 0.7 The amount of time involved in using this app has been fitting for me 5.6 2–5 1.1 I would use this app again 5.4 2–7 1.2 Overall, I am satisfied with this app 5.7 2–7 1.1 Usability The app would be useful for my health and well-being 6.0 2–7 1.1 The app improved my access to healthcare services 6.1 3–7 0.9 The app helped me manage my health effectively 6.1 3–7 0.8 This app has all the functions and capabilities I expected it to have 5.6 3–7 0.8 I could use the app even when the Internet connection was poor or unavailable 3.8 1–7 2.0 This mHealth app provided an acceptable way to receive health care services, such as accessing educational materials, tracking my own activities, and performing self-assessments 6.1 2–7 0.9 In addition, this assessment is followed by structured in-depth questions based on the three primary dimensions of the MAUQ, namely ease of use, user interface, and satisfaction with the application, as well as the health utility of the application. Participants who initially opened the link to download the application onto their Android phone remarked on the simplicity of this application's interface. "with one click, the application is immediately installed, and registering is also very simple, requiring only a cellphone number as identification, so I don't have to fill out too much information during registration (18–25 years, primipara, housewife)" This application has the simplest user interface and user experience possible, with an unobtrusive design, clear visibility of each feature, and representative icon images. There are data entry modes with simple options so that users can choose to fill out each information log. "When you open the menu, everything appears on a pleasant background, the pictures are also appealing, I like the illustrations and the color combinations, which are colors that many women enjoy, and the menus within are also very simple to fill out (25–30 years, multipara, working mother)" Based on the primary reason for developing the Mommy-Be application, it is a bridge to meet the needs of breastfeeding mothers in understanding their breastfeeding activities, assisting them in meeting their nutritional needs while breastfeeding, and increasing their awareness of postpartum depressive disorders with independent early detection at any time, particularly for those who have never had children or previous breastfeeding experience. The following are some of the perceived benefits they felt after four weeks of intensive use of this application. "As a new mother, I really don't understand how babies can breastfeed, whether they are full enough, or whether urinating is an indicator that they are getting enough to eat (18–24 year, primipara, working mother)" This application helps me remember yesterday's breastfeeding session, which is the foundation for me to be able to breastfeed more frequently and for longer durations in order to stimulate my milk production (25–30 years, primipara, housewife). "My child is very active; he occasionally sleeps more in the morning and rises later at night. This application is with me while I breastfeed at night. I am sometimes stressed by their crying, I sometimes feel like I have failed to breastfeed, and at the beginning of my birth I didn't sleep a day or night because of my baby's crying. After filling out the depression screening menu, I was shocked to discover that I have the potential for depression. I will consult a doctor because I am afraid that this will interfere with my lactation (31–35 year, primipara, working mother)” Inadequacies in data export and module integration are among the conditions that may prevent the application from being used to its full potential. Users are unable to retrieve and store data externally regarding a summary of their application-related activities. Also, these applications still lack interconnections between their various educational content, such as breastfeeding problems and solutions, nutrition and diet for breastfeeding mothers, and signs and symptoms of anxiety and depression. Regrettably, it is not feasible to retain a month's worth of data in PDF format. Despite its utility for future consultations with the pediatrician, the provision of a copy of the document containing the recorded data would undoubtedly prove highly advantageous (25–30-year, multipara, working mother There are also disadvantages associated with the application database, which requires an active internet connection to function properly. I encounter difficulties in consistently purchasing a quota, as this application fails to update when I attempt to input data. Specifically, the data I inputted while away from a Wi-Fi connection was not saved. The availability of an offline version would potentially enhance our freedom to utilize the application (36–40-year, multipara, housewife) This may be a consideration for developers, as there is the potential to improve the accessibility of this application so that it can be connected in real time in the future, necessitating improvements to user data security and other factors. Discussion A stepwise survey involving 50 active breastfeeding mothers from two primary health care centers in Makassar, Indonesia, was completed successfully. Subjects ranged in age from 19 to 42 years old, had multiple pregnancies, and had a fairly high level of education. Notably, the participants included a significant number of working people and full-time housewives, reflecting the diverse demographics. The participants were currently breastfeeding infants under six months of age, primarily through vaginal delivery in hospitals. Maternal age, maternity leave duration, transport distances, workplace distances, infant ages, birth intervals, and birth weights exhibit considerable variability, as indicated by standard deviations. The Wilcoxon Signed Rank Test was employed to assess the differences in depression and breastfeeding efficacy scores prior to and following the utilization of Mommy-Be. The findings demonstrated that the utilization of Mommy-Be led to a notable reduction in postpartum depression scores and a substantial improvement in breastfeeding efficacy scores. The presence of negative ratings suggests that Mommy-Be may have a beneficial effect on breastfeeding self-efficacy. Additionally, a noteworthy inverse correlation was discovered between the duration of Mommy-Be usage by mothers and alterations in postpartum depression scores. This finding implies that heightened Mommy-Be usage might be linked to reduced levels of depression. Furthermore, a robust positive correlation was observed between heightened utilization of Mommy-Be and enhanced self-efficacy in breastfeeding, indicating that it may have a therapeutic effect in mitigating symptoms associated with postpartum depression. This study provided evidence for the efficacy of Mommy-Be as a supportive tool for breastfeeding mothers, while also highlighting its potential to increase awareness of postpartum depression, a condition that often goes unnoticed. Based on MAUQ three dimensions, ease of use, interface satisfaction, usefulness, this study has been determined that the utilization of a Mommy-Be application is both acceptable and feasible as a mobile health (mHealth) solution for breastfeeding mothers. The mothers experience revealed diverse user impressions of the Mommy-Be application. Participants generally found it easy to use, with a favorable interface preference. However, concerns were raised regarding the comfort of use, especially in public spaces, and the requirement for a strong internet connection. This is due to several challenges such as the high cost of the internet, network congestion such as population density in urban areas which refers to network slowdown [ 18 ], and several other issues such as android compatibility and digital literacy. While the comfort of using the app in public is closely related to breastfeeding, normal public breastfeeding remains a problem in this country [ 19 ]. Lactation companions, such as the Mommy-Be, possess the capacity to offer significant assistance to mothers engaged in breastfeeding. The lactation companion application offers significant insights into breastfeeding methodologies, alterations in infant nutrition, and breast maintenance. Mothers perceive this application as a valuable tool for enhancing their understanding of lactation and addressing various inquiries that may arise during the breastfeeding process. Breastfeeding exhibits individuality among mothers, with variations in experiences arising from the distinct characteristics of each child. Facilitating maternal self-identification during the act of breastfeeding represents a pivotal measure that can enhance mothers' self-efficacy pertaining to lactation [ 5 ]. The available data provides written instructional materials that aid mothers in gaining a deeper comprehension of their infants' preferences and breastfeeding requirements [ 6 ]. This software facilitates the mother in documenting the infant's developmental progress, feeding routines, and additional data. This facilitates maternal comprehension of infants' developmental progress and guarantees adequate milk intake. The incorporation of visually appealing and intuitive app design enhances usability. According to the findings of this study, users exhibited a favorable reaction towards the visual aesthetics of the application during their initial interaction. Mothers indicate that the app's clean and intuitive interface engenders a sense of comfort and ease in their usage. Efficient navigation facilitates the seamless access of diverse application features for mothers. The inclusion of prominently displayed buttons within the app facilitates seamless navigation for mothers. The utilization of visual aids, such as baby growth charts, diagrams and illustrations depicting breastfeeding patterns, serves to enhance maternal comprehension of the provided information [ 7 ], [ 20 ], [ 21 ]. Mothers perceive this application as user-friendly due to its efficient registration process and convenient login functionality. Breastfeeding is a protracted undertaking that can occasionally engender feelings of social seclusion among mothers. This phenomenon has the potential to induce anxiety, particularly among mothers in the immediate postpartum period. Mothers perceive the presence of comparable circumstances in their partners as necessitating assistance and support from external sources to personally navigate the prolonged practice of breastfeeding. A significant number of mothers experience a state of depression due to their inability to comprehend their infant's needs, lack of understanding regarding the concepts of satiety and hunger in newborns, and challenges in soothing a restless baby. The exertion of physical pressures has a discernible effect on the experience of fatigue and the occurrence of mental burnout. Certain users perceive the advantages of utilizing the postpartum depression screening application as a means to authenticate the mood fluctuations experienced during the initial week of breastfeeding. The findings of this screening serve to inform individuals that they possess issues that necessitate the evaluation and guidance of professionals. The findings of [ 22 ] indicate that social support plays a significant role in mHealth applications, as evidenced by the presence of similar application support that is derived from interactions among mHealth users. Multiple interventions have demonstrated that the utilization of mHealth applications has been found to enhance various cognitive channels in the contemporary digital age [ 10 ], [ 12 ]. It is imperative for developing nations such as Indonesia to enhance the availability of affordable network infrastructure in order to ensure that individuals from all socio-economic backgrounds can access data without incurring excessive resource expenditures [ 3 ]. Participants expressed various benefits of using Mommy-Be, including increased awareness of breastfeeding activities, assistance in meeting nutritional needs, and early detection of postpartum depressive disorders. However, challenges were identified, such as the inability to export data, lack of module integration, and dependence on an active internet connection. To enhance the application's utility, participants suggested improvements, such as data export capabilities, better module integration, consideration of the target audience's resources regarding internet access and the inclusion of educational content, such as the provision of interconnection with multiple lactation counsellors. More personalized notifications, such as push notifications tailored to the baby's lactation stage, breastfeeding and nutrition reminders, and up-to-date information on modern therapeutic approaches to maintaining mental health, would add more value to the app's development. Developers may also need to enhance these applications' analysis functions to enable inter-module interconnectivity and real-time data arrays with the body's embedded hardware, further enhancing application personification. Along with the above points, data security is an ethical issue that should be examined to determine its viability with a stronger advocate. Conclusion This study sheds light on the various characteristics and experiences of lactating mothers who use Mommy-Be. They discovered a link between breastfeeding confidence and mental health. To progress and improve, the development process must address user experience, data security, and application accessibility issues. This study promotes maternal and child health by focusing on technology-driven interventions to assist breastfeeding mothers. Declarations Acknowledgement We express our sincere gratitude to all participants who demonstrated unwavering commitment throughout the duration of this research. The present study was entirely financed by the Ministry of Education and Culture - Higher Education of the Republic of Indonesia through a national competitive funding scheme. Conflicting Interests The authors declared no potential conflicts of interest concerning the research, authorship, publication, and publication of this article. Funding The complete funding for this project was provided by the Indonesian Ministry of Education, Culture, Research, and Technology, under the grant numbers 185/E5/PG.02.00.PL/2023 and 828/LL9/PK.00.PL/2023. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Ministry of Education, Culture, Research, and Technology. The Ministry of Education, Culture, Research, and Technology did not play any role in the design of the study, collection, analysis, and interpretation of data or in writing the manuscript. Ethics The ethics committee of Nani Hasanuddin School of Nursing approved this study (REC Number 192/STIKES-NH/KEPK/VII/2023) Guarantor: Azniah Syam Contributorship The author "AS" is responsible for developing the paper's structure, composing the introduction, literature review, methodology, procedures, data analysis, and conclusion sections, and conducting a comprehensive review to ensure the paper's coherence. The authors ID and Fr was involved in protocol development, gaining ethical approval, patient recruitment and data analysis. All other authors contributed analysis of the material's content. All authors reviewed and edited the manuscript and approved the final version of the manuscript. This Mommy-Be application was developed by a third party in accordance with the considerations and module development of all authors and experts; however, their names are not listed as authors because they do not meet the qualifications for authors; rather, they are listed as professional third parties whose services were requested. Data Availability The datasets produced or analyzed in the present study are not accessible to the public owing to the confidential nature of the subject matter. However, interested parties may obtain access to the datasets by making a reasonable request to the corresponding author. References Wang C-J, Chaovalit P, Pongnumkul S, Breastfeed-Promoting ‘A. Mobile App Intervention: Usability and Usefulness Study’, JMIR Mhealth Uhealth , vol. 6, no. 1, p. e27, Jan. 2018, 10.2196/mhealth.8337 . Qian J et al. 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Padró-Arocas A, Quifer‐Rada P, Aguilar‐Camprubí L, Mena‐Tudela D. ‘Description of an mHealth tool for breastfeeding support: LactApp. Analysis of how lactating mothers seek support at critical breastfeeding points and according to their infant’s age’, Res Nurs Health , vol. 44, no. 1, pp. 173–186, Feb. 2021, 10.1002/nur.22095 . Lewkowitz AK, Cahill AG. ‘Mobile Health Approaches to Breastfeeding’, Clin Obstet Gynecol , vol. 64, no. 2, pp. 384–391, Jun. 2021, 10.1097/GRF.0000000000000606 . Laws RA, et al. Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app. Matern Child Nutr. Apr. 2023;19(2). 10.1111/mcn.13482 . Syam A, Iskandar I, Kadrianti E. Breastfeeding Performance Among Potentially Depressed Nursing Mothers. Glob J Health Sci. Nov. 2019;11(13):59. 10.5539/gjhs.v11n13p59 . Syam A, Iskandar I, Hendrarti W, Salam A. ‘Prenatal depression and successful lactation’, Medicina Clínica Práctica , vol. 4, p. 100234, Apr. 2021, 10.1016/j.mcpsp.2021.100234 . Zhao L et al. Oct., ‘Effectiveness of Telehealth Interventions for Women With Postpartum Depression: Systematic Review and Meta-analysis’, JMIR Mhealth Uhealth , vol. 9, no. 10, p. e32544, 2021, 10.2196/32544 . Liu C, et al. Positive intervention effect of mobile health application based on mindfulness and social support theory on postpartum depression symptoms of puerperae. BMC Womens Health. Oct. 2022;22(1):413. 10.1186/s12905-022-01996-4 . Arakawa Y, et al. Effectiveness of mHealth consultation services for preventing postpartum depressive symptoms: a randomized clinical trial. BMC Med. Jun. 2023;21(1):221. 10.1186/s12916-023-02918-3 . Zhou L, Bao J, Setiawan IMA, Saptono A, Parmanto B. ‘The mhealth app usability questionnaire (MAUQ): Development and validation study’, JMIR Mhealth Uhealth , vol. 7, no. 4, 2019, 10.2196/11500 . Handayani L, Kosnin A, Jiar YK. ‘Translation and Validation of Breastfeeding Self-Efficacy Scale- Short Form (BSES-SF) into Indonesian: a Pilot Study’, pp. 21–26, 2010. Syam A, Qasim M, Kadrianti E, Kadir A. Factor structure of the Edinburgh postnatal depression scale Indonesian version. Med Clínica Práctica. Apr. 2021;4:100238. 10.1016/j.mcpsp.2021.100238 . Syam A, Qasim M, Iskandar I, Kadir A. ‘Cortisol, Prolactin, and Breastmilk Volume; A Promising Pattern for Reducing Postpartum Depression’, Open Access Maced J Med Sci , vol. 10, no. B, pp. 1399–1405, May 2022, 10.3889/oamjms.2022.9545 . Syam A, Iskandar I, Qasim M, Kadir A, Usman AN. ‘Identifying risk factors of prenatal depression among mothers in Indonesia’, Enferm Clin , vol. 30, no. Supplement 2, pp. 550–554, Mar. 2020, 10.1016/j.enfcli.2019.07.158 . Lorincz J, Klarin Z, Ožegović J. ‘A Comprehensive Overview of TCP Congestion Control in 5G Networks: Research Challenges and Future Perspectives’, Sensors , vol. 21, no. 13, p. 4510, Jun. 2021, 10.3390/s21134510 . Grant A, et al. Views and experience of breastfeeding in public: A qualitative systematic review. Matern Child Nutr. Oct. 2022;18(4). 10.1111/mcn.13407 . Liew MS, Zhang J, See J, Ong YL. ‘Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers’, JMIR Mhealth Uhealth , vol. 7, no. 1, p. e12160, Jan. 2019, 10.2196/12160 . Smahel D, Elavsky S, Machackova H. ‘Functions of mHealth applications: A user’s perspective’, Health Informatics J , vol. 25, no. 3, pp. 1065–1075, Sep. 2019, 10.1177/1460458217740725 . Zhou C et al. Feb., ‘The effectiveness of mHealth interventions on postpartum depression: A systematic review and meta-analysis’, J Telemed Telecare , vol. 28, no. 2, pp. 83–95, 2022, 10.1177/1357633X20917816 . Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 01 Jan, 2024 Read the published version in Revista de Gestão Social e Ambiental → 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. 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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-3799118","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":265455834,"identity":"44f3fc1f-9a95-4ca8-b2f3-bd8169325d55","order_by":0,"name":"Azniah Syam","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIiWNgGAWjYJCCA4wNIIr5AJCQkCFFC1sCSAsPcdZAtPAYgEmCqvn7zx488HNHXWL/tDOfX92oseBhYD98dAM+LRIHziUc7D1zOHHG7dxt1jnHgA7jSUu7gdeagz0GB3jbDiQ2ALUY57ABtUjwmOHVIn+Yx+Dg37a6xPm3c54Z5/wjQovBMR6Dw7xtzIkbbucwP85tI0KL4RmgFtm2w8Ybb6eZMef2SfCwEfKL3Pkzxh/fttXJzrud/Phzzrc6OX72w8fwex8KHBuAcSkBYrERoxwE7IGY+QOxqkfBKBgFo2BkAQAmb09DEPnUpwAAAABJRU5ErkJggg==","orcid":"","institution":"Sekolah Tinggi Ilmu Kesehatan Nani Hasanuddin","correspondingAuthor":true,"prefix":"","firstName":"Azniah","middleName":"","lastName":"Syam","suffix":""},{"id":265455835,"identity":"1a541033-af25-4200-9362-8293ee1c17fe","order_by":1,"name":"Firawati Firawati","email":"","orcid":"","institution":"Sekolah Tinggi Ilmu Kesehatan Nani Hasanuddin","correspondingAuthor":false,"prefix":"","firstName":"Firawati","middleName":"","lastName":"Firawati","suffix":""},{"id":265455836,"identity":"f159a438-78a0-40f7-9f40-50d88a4c2531","order_by":2,"name":"Indra Dewi","email":"","orcid":"","institution":"Sekolah Tinggi Ilmu Kesehatan Nani Hasanuddin","correspondingAuthor":false,"prefix":"","firstName":"Indra","middleName":"","lastName":"Dewi","suffix":""}],"badges":[],"createdAt":"2023-12-24 06:14:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3799118/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3799118/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.24857/rgsa.v18n3-089","type":"published","date":"2024-01-02T00:00:00+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":49331926,"identity":"4921cefb-e6bb-415a-bfce-085b649960c8","added_by":"auto","created_at":"2024-01-08 19:23:34","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":744796,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eScreenshot from the Mommy-Be app\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-3799118/v1/6bc3ccbb617a25877d5d7237.png"},{"id":49331925,"identity":"385566d0-60f8-4b55-b69d-80fc1dd41830","added_by":"auto","created_at":"2024-01-08 19:23:34","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":196192,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eComparison between EPDS Score and BSESF Score before and after using Mommy-Be app\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"floatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-3799118/v1/c5d90e9a283b0414675c2d78.png"},{"id":53673224,"identity":"48b1be64-e744-49c7-9cfe-33a11726f880","added_by":"auto","created_at":"2024-03-28 18:21:24","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1192903,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3799118/v1/2c7b7f33-a55a-4df7-9927-7435450966f4.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Usability Study of the Mommy-Be App: Exploring the Experience of Breastfeeding Mothers in Eastern Indonesia","fulltext":[{"header":"Introduction","content":"\u003cp\u003eIn recent years, the use of mobile health (mHealth) applications has gained significant attention in the healthcare field. mHealth apps have the potential to become powerful tools in supporting breastfeeding mothers and preventing postpartum depression (PPD). Scientific literature acknowledges the importance of breastfeeding as a means to promote both maternal and child health. Similarly, the prevention and management of PPD significantly contribute to the overall well-being of mothers. Several scientific articles have recognized the potential of mHealth apps in addressing these concerns. An intervention study evaluated the usefulness of mHealth app in supporting breastfeeding mother, and this study state the app could be a useful self-management tool for Thai breastfeeding mothers. Furthermore, the qualitative analysis showed that the app supports breastfeeding on demand, but its flow and inputs should be more intuitive [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. A systematic review and meta-analysis on 15 RCTs highlighted that mHealth apps can play a vital role in providing breastfeeding education, counseling, and support to mothers. Interventions based on mHealth can significantly improve the rate of postpartum exclusive breastfeeding, breastfeeding efficacy, and participants' attitudes toward breastfeeding, and reduce health problems in infants [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e]. Another systematic review on effectiveness of technology-based interventions in promoting breastfeeding, have proven to be effective to improve antenatal care and postnatal care services, especially those that are aimed at changing behavior of pregnant women and women in postnatal period. This study also found that mHealth apps can provide accurate and reliable information on breastfeeding practices, allowing mothers to make informed decisions. The mHealth role delivered through smartphones have the potential to reach a large number of women, thanks to the widespread availability and usage of smartphones or android platform. This indicates that mHealth apps are a feasible solution to support breastfeeding mothers on a large scale, especially in low- and middle-income countries [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Numerous studies have investigated the effectiveness of mHealth apps in supporting breastfeeding mothers, demonstrated that mHealth apps can significantly improve breastfeeding self-efficacy and satisfaction among mothers compared to traditional supportive methods. Enhanced self-efficacy is a crucial factor in successful lactation, as it helps mothers develop confidence and cope with the challenges of breastfeeding. Furthermore, mHealth apps can track breastfeeding patterns, offer reminders, and provide immediate access to lactation consultants, thus promoting successful and sustained breastfeeding [\u003cspan additionalcitationids=\"CR5 CR6\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e]\u0026ndash;[\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eOn other condition, breastfeeding challenging situation often collocate mother into risk of Postpartum Depression (PPD). There\u0026rsquo;s an immerse literature stated that breastfeeding and PPD are two inferential causes related to each other on two pathways, it can be a cause or an effect [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e], [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. Similar to breastfeeding, mHealth approach in preventing PPD also provide a positive outcome. According to 9 RCTs with a total of 1958 women with PPD finds that the EPDS and anxiety scores were significantly lower in the telehealth group compared with the control group. Significant subgroup differences were found in depressive symptoms according to the severity of PPD, telehealth technology, specific therapy, and follow-up time [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. A study investigated the effects of mobile health application designed based on mindfulness and social support theory on parenting self-efficacy and postpartum depression symptoms of puerperae, shows perceived social support, maternal parental self-efficacy were significantly higher and postpartum depressive symptoms was significantly lower from using the app [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. A randomized controlled trial on a large sample in Japanese mothers, imposes higher self-efficacy, less loneliness, and fewer perceived barriers to healthcare access compared to those in regular care group [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eThe use of mHealth apps to help breastfeeding mothers and prevent postpartum depression (PPD) holds a lot of promise. These apps, can play an important role in improving the well-being of breastfeeding mothers and reducing the prevalence of PPD by providing accurate information, support, and early intervention. Uncertainty about the sufficiency of the baby's milk intake is a major concern for breastfeeding mothers, particularly in the first week after birth. This uncertainty, which is frequently fueled by a mother's inability to recognize breastfeeding patterns based on frequency and duration of sessions, can erode a mother's confidence and lead to stressful situations. Furthermore, maternal mental health during breastfeeding is still poorly understood, particularly in developing countries. As a result, there is a need to bridge the gap by raising mothers' awareness of potential mental health challenges while breastfeeding. Therefore, the purpose of this study is to evaluate the usability and utility of Mommy-Be, a mobile app designed to support breastfeeding women and raise their mental health awareness during the breastfeeding period in Middle Indonesia.\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eStudy Design\u003c/h2\u003e \u003cp\u003eThis study employs a combination of quantitative and qualitative research methods. The usability of the Mommy-Be application was evaluated using a quantitative methodology. A quantitative descriptive analysis was conducted to examine the utilization and acceptance of Mommy-Be, employing the Mobile Application Usability Questionnaire (MAUQ). The chosen tool exhibits resemblances in terms of language and context to the instrument's original development and validation [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. The instrument comprises a total of eighteen items, which are categorized into three domains: ease of use (consisting of five items), satisfaction and interface (consisting of seven items), and usability (consisting of six items). This study also used a single group pre-post approach (pretest-posttest only design), with participating mothers being assessed for breastfeeding efficacy using the BSEF-SF [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e] and potential postpartum depression using the EPDS [\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e] instrument before and after the Mommy-Be experiencing period. A qualitative methodology was employed, utilizing in-depth interviews with a specific subset of breastfeeding mothers. This subset was chosen selectively from 50 participants who possessed an Android cellphone or tablet and expressed willingness to utilize the application for a continuous duration of one to four weeks. The objective of this interview was to acquire a thorough comprehension of the utilization and acceptability of the Mommy-Be application in assisting breastfeeding mothers and enhancing awareness regarding their mental health conditions. In addition to this, the participants were also extended invitations to participate in telephone interviews subsequent to their completion of the application for a continuous duration of four weeks.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eApp Description\u003c/h2\u003e \u003cp\u003eThe study employed a research methodology that involved the utilization of a mobile health application known as Mommy-Be, an acronym for Mother Oriented Mental Health Monitoring and Breastfeeding Evaluation. The software application referred to as \"Mommy-Be\" is designed with the specific purpose of providing support and facilitating access to a range of resources for mothers who have recently undergone childbirth and are actively involved in the act of breastfeeding. This application comprises a range of modules and features that have the potential to enhance lactation productivity and raise awareness of mental health disorders among breastfeeding mothers.\u003c/p\u003e \u003cp\u003eThe application encompasses a collection of modules, which include: The module on infant feeding and growth monitoring focuses on the assessment and management of nutrition in infants. The breastfeeding timer allows users to initiate and terminate the timer in order to document the duration of individual breastfeeding sessions. The module of diaper changes: This module enables users to monitor and record instances of diaper changes, encompassing both wet and soiled diapers. By doing so, it offers valuable information on the sufficiency of the baby's breast milk consumption, estimating the frequency of urination and defecation. Growth Metrics: Users have the ability to document their infant's weight, height, and head circumference at various intervals, facilitating the tracking of the infant's growth and development, as well as maintaining records of immunizations. Sleep Tracking: Individuals have the ability to document the sleep patterns of their infants, encompassing both daytime naps and nighttime sleep duration, with the aim of establishing a consistent sleep schedule and facilitating the process of sleep training for mothers.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe Maternal Nutrition Intake Module includes a feature for food logging, where users can document their daily food consumption. By inputting details such as food type, size, and portion, the module can automatically calculate the user's daily caloric allowance requirement. Weight Monitoring: Individuals have the ability to record and monitor their weight longitudinally, enabling them to assess postpartum weight reduction and gain valuable understanding of the potential for post-pregnancy obesity. A module designed for the early detection of postpartum depression and the promotion of increased mental health awareness.\u003c/p\u003e \u003cp\u003eThe Mental Health Assessment module offers a questionnaire consisting of 10 items, which serves as a tool for users to assess their mental well-being. Users are able to complete this questionnaire in order to evaluate their mental health. The present assessment encompasses various domains, including stress, anxiety, depression, and overall mental well-being. Identification of Risk Factors: The module utilizes the assessment results to identify potential risk factors and delivers personalized feedback to users. This feedback includes information on whether they are at risk of developing specific mental health conditions, which are linked to their obstetric conditions and nutritional status.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eRecruitment\u003c/h2\u003e \u003cp\u003e Convenience sampling was used for each participant received an invitation link through the messaging platform WhatsApp, which allowed them to download the Mommy-Be application. Prior to initiating the download process, users are provided with a comprehensive video tutorial that elucidates the steps involved in registering and navigating the application's menu interface. Nursing mothers are provided with limited support from ten skilled research assistants in order to facilitate their proficiency in utilizing the application until they have effectively mastered all of its available features. This study included breastfeeding mothers with babies under two years, had prior experience with Android phones, and had no history of mental health disorders. In August 2023, a four-week period is designated for granting mothers access to a smartphone application. Subsequently, individuals are requested to provide their signature on a written consent form, indicating their willingness to engage as research participants for a duration of four consecutive weeks. Additionally, they are expected to complete a questionnaire assessing the utility of the Mommy-Be application, based on their personal experience. They were also asked to fill out the breastfeeding efficacy form twice, once before and once after using the app. The EPDS score was calculated using data from the mothers' initial and final screenings on the app.\u003c/p\u003e \u003cp\u003eEach participant underwent an initial interview before commencing the study protocol, which was followed by a four-week period during which the participants were provided with the application for utilization. Following the designated period, interviews were conducted subsequent to the use of the application in order to evaluate its acceptability and usability. The two sessions were conducted individually and recorded in audio format with the intention of conducting qualitative analysis. The participants were chosen from two primary healthcare centers (Puskesmas) situated in the urban area of Makassar, South Sulawesi, Indonesia. The choice of this facility is predicated upon its appropriateness for accommodating patients who are mothers and children. Furthermore, the choice to employ the identical site as previous investigations[\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e], [\u003cspan additionalcitationids=\"CR16\" citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e]\u0026ndash;[\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e] was made with the aim of maintaining coherence in the examination of advancements in maternal and mental health provisions.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eEthics\u003c/h2\u003e \u003cp\u003e The research procedures employed in this study have undergone a comprehensive review and obtained approval from the ethics committee at the Nani Hasanuddin School of Nursing.\u003c/p\u003e \u003c/div\u003e"},{"header":"Result","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eSociodemographic\u003c/h2\u003e \u003cp\u003eAfter the completion of data collection and interviewing sessions, the survey involving 50 breastfeeding mothers from two primary health care centers in Makassar, Indonesia was successfully concluded. The participants in this study primarily comprise individuals aged between 19 to 42 years, who have undergone multiple pregnancies and possess a higher level of educational achievement. There are notable two fold between individuals who are employed and those who engage in full-time homemaking. The participants are currently engaged in the practice of providing breast milk to infants who are younger than six months of age. The method of delivery is dominated by vaginal delivery, which is handled by both midwives and obstetricians. Most women deliver in hospitals on a referral basis as some may have complications that require surgery.\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\u003eParticipant demographics\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\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eBaseline Characteristics\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eValue (%)\u003c/p\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;50\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eParity\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrimipara\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e18 (36,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMultipara\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e32 (64,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eEducation\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eBasic\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4 (8,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMiddle\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e20 (40,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eGraduated\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e26 (52,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eOccupation\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHousewife\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e37 (74,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eWorking mothers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13 (26,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eType of Birth\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eSpontaneous\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e34 (68,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCaesarian\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e16 (32,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eBirth Helper\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMidwife\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e27 (54,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eObstetrician\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e23 (46,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eBirth Place\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHospitals\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e37 (74,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePrimary Care Clinics\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e13 (26,0)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eAccording to Table \u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e, the study group is diverse, with a mean maternal age of 28.5 years and a range of 9 to 42 years. This range's standard deviation of 6.3 shows maternal age variability, reflecting participant individuality. Typical maternity leave is 2.5 months, ranging from 1 to 6 months. The standard deviation of 2.4 indicates heterogeneous maternity leave duration choices. Transport distances range from 0.1 to 13 km, but workplaces are 1.7 km on average. The high 3.5 standard deviation emphasizes diversity. Infants are 0.5 to 17.5 months old and average 4.9 months. Infant age variation is shown by the sample's 12.0 standard deviation. The average birth interval is 3.0 years, ranging from 0 to 11. Based on the high standard deviation of 9.5, birth intervals vary widely among participants. Birth weight averages 3093.6 grams, ranging from 1700 to 6000. The sample's birth weight variability is shown by the 632.5 standard deviation. The average Mommy-Be use was 13.8 days, ranging from 5 to 30. Standard deviation of 5.3 shows Mommy-Be use duration varies among participants. Moderate prenatal and postpartum depression scores improved slightly. This implies a complicated postpartum mental health trajectory. Postpartum, breastfeeding self-efficacy rises significantly. Breastfeeding confidence has increased postpartum.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDescriptive analysis for numerical variable\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" 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=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eItems\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean\u003c/p\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;50\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eRange\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eSD\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMothers Age\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e28.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19\u0026ndash;42\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e6.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBabies Age (Month)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e4.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5\u0026ndash;17.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e12.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBirth Interval Year\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0\u0026ndash;11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e9.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBaby Birth Weight\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e3093.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1700\u0026ndash;6000\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e632.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMaternity Leave Months (n\u0026thinsp;=\u0026thinsp;13)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e2.5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u0026ndash;6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e2.4\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDistance from Workplaces in km (n\u0026thinsp;=\u0026thinsp;13)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e1.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1\u0026ndash;13\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMommy-Be Use Days\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e13.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5\u0026ndash;30\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e5.3\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePostpartum Depression Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBefore\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e10.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u0026ndash;20\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e4.5\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAfter\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e9.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1\u0026ndash;17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e3.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBreastfeeding Self-Efficacy Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBefore\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e37.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e14\u0026ndash;61\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e11.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAfter\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e49.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e25\u0026ndash;69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e \u003cp\u003e10.6\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe study used a Wilcoxon Signed Rank Test to compare Postpartum Depression and Breastfeeding Efficacy scores before and after using Mommy-Be. Results in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e showed a significant decrease in postpartum depression scores after using Mommy-Be, while breastfeeding efficacy scores improved significantly. The negative rankings indicate a positive change, indicating the potential positive impact of Mommy-Be on breastfeeding self-efficacy. The results suggest that using Mommy-Be can significantly reduce postpartum depression and increase breastfeeding efficacy.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe study found a significant relationship between the length of time mothers used Mommy-Be and changes in Postpartum Depression Score (EPDS) scores. The correlation coefficient was \u0026minus;\u0026thinsp;0.379, indicating a weak negative relationship, suggesting a possible association between increased use and lower scores. The correlation coefficient of 0.619, indicating a strong positive relationship, indicated a strong positive relationship between increased use and increased breastfeeding self-efficacy. These findings support the idea that Mommy-Be use is related to increased breastfeeding confidence and efficacy, indicating its potential therapeutic impact in reducing postpartum depressive symptoms.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eSpearman Correlation\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=\"char\" char=\".\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVariable\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCoefficient Correlation\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP Value\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMommy-Be Used Day and Delta EPDS Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e-0.379\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.007\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMommy-Be Used Day and Delta BSESF Score\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c2\"\u003e \u003cp\u003e0.619\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e \u003cp\u003e0.000\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe MAUQ was used to explore how the mother experience after using this application four week in a row. The MAUQ was consisting of seven-point Likert scale for subjective opinion from strongly disagree to strongly agree. The descriptive score of 50 participant presented in Table \u003cspan refid=\"Tab4\" class=\"InternalRef\"\u003e4\u003c/span\u003e. According to the descriptive table's data, the average rating for each participant assessment item is vary between three to six. This shows that users have a different impression after using this app. On the ease-of-use dimension, respondents rated it generally good with an average score of 5.8 to 6.1, meaning that it was easy to master how to use the app and apply it during breastfeeding. This is possible because they are generally already familiar with android apps. For the function dimension of the app interface, especially the interface preference item got the most favorable rating among all with the lowest score of four. The item comfort of use, still within the interface dimension, was rated quite low by mothers with a mean score of 4.3, this may be due to its relation to the comfort of breastfeeding mothers in public making them rate it as such. In the usability dimension, the use of applications that must be based on a strong internet connection received the lowest rating with a mean score of 3.8. This online-based application is a common source of complaints, as it is inconvenient for those who do not always have an active network quota on their mobile devices, in addition to the fact that the environment does not yet show equal distribution of free internet access. So this can be an input for development, that this application needs to consider the resources of the target audience. Each participant must have an active quota and network connection for the Mommy-Be application to function.\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eDescriptive quantitative analysis of Mommy-Be Usefulness\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"5\"\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 \u003cdiv align=\"left\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eItems\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMean\u003c/p\u003e \u003cp\u003en\u0026thinsp;=\u0026thinsp;50\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e \u003cp\u003eRange\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e \u003cp\u003eSD\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEase of Use\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe app was easy to use\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eIt was easy for me to learn to use the app\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe navigation was consistent when moving between screens\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe app's interface allowed me to use all the functions offered by the app\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eWhenever I made a mistake using the app, I could quickly recover\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eInterface and Satisfaction\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eI like the interface of the app\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e4\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe information in the app was well organized, so I could easily find the information I needed\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe app adequately acknowledged and provided information to let me know the progress of my action.\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.9\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eI feel comfortable using this app in social settings\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e4.3\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.7\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe amount of time involved in using this app has been fitting for me\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;5\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eI would use this app again\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.4\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.2\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eOverall, I am satisfied with this app\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003e\u003cb\u003eUsability\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e\u0026nbsp;\u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe app would be useful for my health and well-being\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e1.1\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe app improved my access to healthcare services\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThe app helped me manage my health effectively\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThis app has all the functions and capabilities I expected it to have\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e5.6\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e3\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.8\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eI could use the app even when the Internet connection was poor or unavailable\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3.8\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e1\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e2.0\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colspan=\"2\" nameend=\"c2\" namest=\"c1\"\u003e \u003cp\u003eThis mHealth app provided an acceptable way to receive health care services, such as accessing educational materials, tracking my own activities, and performing self-assessments\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e6.1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e2\u0026ndash;7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c5\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn addition, this assessment is followed by structured in-depth questions based on the three primary dimensions of the MAUQ, namely ease of use, user interface, and satisfaction with the application, as well as the health utility of the application. Participants who initially opened the link to download the application onto their Android phone remarked on the simplicity of this application's interface.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"with one click, the application is immediately installed, and registering is also very simple, requiring only a cellphone number as identification, so I don't have to fill out too much information during registration (18\u0026ndash;25 years, primipara, housewife)\"\u003c/em\u003e \u003c/p\u003e \u003cp\u003eThis application has the simplest user interface and user experience possible, with an unobtrusive design, clear visibility of each feature, and representative icon images. There are data entry modes with simple options so that users can choose to fill out each information log.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"When you open the menu, everything appears on a pleasant background, the pictures are also appealing, I like the illustrations and the color combinations, which are colors that many women enjoy, and the menus within are also very simple to fill out (25\u0026ndash;30 years, multipara, working mother)\"\u003c/em\u003e \u003c/p\u003e \u003cp\u003eBased on the primary reason for developing the Mommy-Be application, it is a bridge to meet the needs of breastfeeding mothers in understanding their breastfeeding activities, assisting them in meeting their nutritional needs while breastfeeding, and increasing their awareness of postpartum depressive disorders with independent early detection at any time, particularly for those who have never had children or previous breastfeeding experience. The following are some of the perceived benefits they felt after four weeks of intensive use of this application.\u003c/p\u003e \u003cp\u003e \u003cem\u003e\"As a new mother, I really don't understand how babies can breastfeed, whether they are full enough, or whether urinating is an indicator that they are getting enough to eat (18\u0026ndash;24 year, primipara, working mother)\"\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003eThis application helps me remember yesterday's breastfeeding session, which is the foundation for me to be able to breastfeed more frequently and for longer durations in order to stimulate my milk production (25\u0026ndash;30 years, primipara, housewife).\u003c/em\u003e \u003c/p\u003e \u003cp\u003e \u003cem\u003e\"My child is very active; he occasionally sleeps more in the morning and rises later at night. This application is with me while I breastfeed at night. I am sometimes stressed by their crying, I sometimes feel like I have failed to breastfeed, and at the beginning of my birth I didn't sleep a day or night because of my baby's crying. After filling out the depression screening menu, I was shocked to discover that I have the potential for depression. I will consult a doctor because I am afraid that this will interfere with my lactation (31\u0026ndash;35 year, primipara, working mother)\u0026rdquo;\u003c/em\u003e \u003c/p\u003e \u003cp\u003eInadequacies in data export and module integration are among the conditions that may prevent the application from being used to its full potential. Users are unable to retrieve and store data externally regarding a summary of their application-related activities. Also, these applications still lack interconnections between their various educational content, such as breastfeeding problems and solutions, nutrition and diet for breastfeeding mothers, and signs and symptoms of anxiety and depression.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eRegrettably, it is not feasible to retain a month's worth of data in PDF format. Despite its utility for future consultations with the pediatrician, the provision of a copy of the document containing the recorded data would undoubtedly prove highly advantageous (25\u0026ndash;30-year, multipara, working mother\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThere are also disadvantages associated with the application database, which requires an active internet connection to function properly.\u003cdiv class=\"BlockQuote\"\u003e\u003cp\u003eI encounter difficulties in consistently purchasing a quota, as this application fails to update when I attempt to input data. Specifically, the data I inputted while away from a Wi-Fi connection was not saved. The availability of an offline version would potentially enhance our freedom to utilize the application (36\u0026ndash;40-year, multipara, housewife)\u003c/p\u003e\u003c/div\u003e\u003c/p\u003e \u003cp\u003eThis may be a consideration for developers, as there is the potential to improve the accessibility of this application so that it can be connected in real time in the future, necessitating improvements to user data security and other factors.\u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003e A stepwise survey involving 50 active breastfeeding mothers from two primary health care centers in Makassar, Indonesia, was completed successfully. Subjects ranged in age from 19 to 42 years old, had multiple pregnancies, and had a fairly high level of education. Notably, the participants included a significant number of working people and full-time housewives, reflecting the diverse demographics. The participants were currently breastfeeding infants under six months of age, primarily through vaginal delivery in hospitals. Maternal age, maternity leave duration, transport distances, workplace distances, infant ages, birth intervals, and birth weights exhibit considerable variability, as indicated by standard deviations. The Wilcoxon Signed Rank Test was employed to assess the differences in depression and breastfeeding efficacy scores prior to and following the utilization of Mommy-Be. The findings demonstrated that the utilization of Mommy-Be led to a notable reduction in postpartum depression scores and a substantial improvement in breastfeeding efficacy scores. The presence of negative ratings suggests that Mommy-Be may have a beneficial effect on breastfeeding self-efficacy. Additionally, a noteworthy inverse correlation was discovered between the duration of Mommy-Be usage by mothers and alterations in postpartum depression scores. This finding implies that heightened Mommy-Be usage might be linked to reduced levels of depression. Furthermore, a robust positive correlation was observed between heightened utilization of Mommy-Be and enhanced self-efficacy in breastfeeding, indicating that it may have a therapeutic effect in mitigating symptoms associated with postpartum depression.\u003c/p\u003e \u003cp\u003eThis study provided evidence for the efficacy of Mommy-Be as a supportive tool for breastfeeding mothers, while also highlighting its potential to increase awareness of postpartum depression, a condition that often goes unnoticed. Based on MAUQ three dimensions, ease of use, interface satisfaction, usefulness, this study has been determined that the utilization of a Mommy-Be application is both acceptable and feasible as a mobile health (mHealth) solution for breastfeeding mothers. The mothers experience revealed diverse user impressions of the Mommy-Be application. Participants generally found it easy to use, with a favorable interface preference. However, concerns were raised regarding the comfort of use, especially in public spaces, and the requirement for a strong internet connection. This is due to several challenges such as the high cost of the internet, network congestion such as population density in urban areas which refers to network slowdown [\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e], and several other issues such as android compatibility and digital literacy. While the comfort of using the app in public is closely related to breastfeeding, normal public breastfeeding remains a problem in this country [\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eLactation companions, such as the Mommy-Be, possess the capacity to offer significant assistance to mothers engaged in breastfeeding. The lactation companion application offers significant insights into breastfeeding methodologies, alterations in infant nutrition, and breast maintenance. Mothers perceive this application as a valuable tool for enhancing their understanding of lactation and addressing various inquiries that may arise during the breastfeeding process. Breastfeeding exhibits individuality among mothers, with variations in experiences arising from the distinct characteristics of each child. Facilitating maternal self-identification during the act of breastfeeding represents a pivotal measure that can enhance mothers' self-efficacy pertaining to lactation [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e]. The available data provides written instructional materials that aid mothers in gaining a deeper comprehension of their infants' preferences and breastfeeding requirements [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. This software facilitates the mother in documenting the infant's developmental progress, feeding routines, and additional data. This facilitates maternal comprehension of infants' developmental progress and guarantees adequate milk intake.\u003c/p\u003e \u003cp\u003eThe incorporation of visually appealing and intuitive app design enhances usability. According to the findings of this study, users exhibited a favorable reaction towards the visual aesthetics of the application during their initial interaction. Mothers indicate that the app's clean and intuitive interface engenders a sense of comfort and ease in their usage. Efficient navigation facilitates the seamless access of diverse application features for mothers. The inclusion of prominently displayed buttons within the app facilitates seamless navigation for mothers. The utilization of visual aids, such as baby growth charts, diagrams and illustrations depicting breastfeeding patterns, serves to enhance maternal comprehension of the provided information [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e], [\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e], [\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e]. Mothers perceive this application as user-friendly due to its efficient registration process and convenient login functionality.\u003c/p\u003e \u003cp\u003eBreastfeeding is a protracted undertaking that can occasionally engender feelings of social seclusion among mothers. This phenomenon has the potential to induce anxiety, particularly among mothers in the immediate postpartum period. Mothers perceive the presence of comparable circumstances in their partners as necessitating assistance and support from external sources to personally navigate the prolonged practice of breastfeeding. A significant number of mothers experience a state of depression due to their inability to comprehend their infant's needs, lack of understanding regarding the concepts of satiety and hunger in newborns, and challenges in soothing a restless baby. The exertion of physical pressures has a discernible effect on the experience of fatigue and the occurrence of mental burnout. Certain users perceive the advantages of utilizing the postpartum depression screening application as a means to authenticate the mood fluctuations experienced during the initial week of breastfeeding. The findings of this screening serve to inform individuals that they possess issues that necessitate the evaluation and guidance of professionals. The findings of [\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e] indicate that social support plays a significant role in mHealth applications, as evidenced by the presence of similar application support that is derived from interactions among mHealth users. Multiple interventions have demonstrated that the utilization of mHealth applications has been found to enhance various cognitive channels in the contemporary digital age [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e], [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e]. It is imperative for developing nations such as Indonesia to enhance the availability of affordable network infrastructure in order to ensure that individuals from all socio-economic backgrounds can access data without incurring excessive resource expenditures [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e].\u003c/p\u003e \u003cp\u003eParticipants expressed various benefits of using Mommy-Be, including increased awareness of breastfeeding activities, assistance in meeting nutritional needs, and early detection of postpartum depressive disorders. However, challenges were identified, such as the inability to export data, lack of module integration, and dependence on an active internet connection. To enhance the application's utility, participants suggested improvements, such as data export capabilities, better module integration, consideration of the target audience's resources regarding internet access and the inclusion of educational content, such as the provision of interconnection with multiple lactation counsellors. More personalized notifications, such as push notifications tailored to the baby's lactation stage, breastfeeding and nutrition reminders, and up-to-date information on modern therapeutic approaches to maintaining mental health, would add more value to the app's development. Developers may also need to enhance these applications' analysis functions to enable inter-module interconnectivity and real-time data arrays with the body's embedded hardware, further enhancing application personification. Along with the above points, data security is an ethical issue that should be examined to determine its viability with a stronger advocate.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eThis study sheds light on the various characteristics and experiences of lactating mothers who use Mommy-Be. They discovered a link between breastfeeding confidence and mental health. To progress and improve, the development process must address user experience, data security, and application accessibility issues. This study promotes maternal and child health by focusing on technology-driven interventions to assist breastfeeding mothers.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe express our sincere gratitude to all participants who demonstrated unwavering commitment throughout the duration of this research. The present study was entirely financed by the Ministry of Education and Culture - Higher Education of the Republic of Indonesia through a national competitive funding scheme.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicting Interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe \u0026nbsp;authors \u0026nbsp; declared \u0026nbsp;no \u0026nbsp;potential \u0026nbsp; conflicts \u0026nbsp;of \u0026nbsp;interest \u0026nbsp; concerning \u0026nbsp;the research, authorship, publication, and publication of this article.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe complete funding for this project was provided by the Indonesian Ministry of Education, Culture, Research, and Technology, under the grant numbers 185/E5/PG.02.00.PL/2023 and 828/LL9/PK.00.PL/2023. The content is solely the responsibility of the authors and does not necessarily represent the official views of the Ministry of Education, Culture, Research, and Technology. The Ministry of Education, Culture, Research, and Technology did not play any role in the design of the study, collection, analysis, and interpretation of data or in writing the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe ethics committee of Nani Hasanuddin School of Nursing approved this study (REC Number 192/STIKES-NH/KEPK/VII/2023)\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eGuarantor:\u0026nbsp;\u003c/strong\u003eAzniah Syam\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eContributorship\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe author \u0026quot;AS\u0026quot; is responsible for developing the paper\u0026apos;s structure, composing the introduction, literature review, methodology, procedures, data analysis, and conclusion sections, and conducting a comprehensive review to ensure the paper\u0026apos;s coherence. The authors ID and Fr was involved in protocol development, gaining ethical approval, patient recruitment and data analysis. All other authors contributed analysis of the material\u0026apos;s content. All authors reviewed and edited the manuscript and approved the final version of the manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThis Mommy-Be application was developed by a third party in accordance with the considerations and module development of all authors and experts; however, their names are not listed as authors because they do not meet the qualifications for authors; rather, they are listed as professional third parties whose services were requested.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets produced or analyzed in the present study are not accessible to the public owing to the confidential nature of the subject matter. 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Feb., \u0026lsquo;The effectiveness of mHealth interventions on postpartum depression: A systematic review and meta-analysis\u0026rsquo;, \u003cem\u003eJ Telemed Telecare\u003c/em\u003e, vol. 28, no. 2, pp. 83\u0026ndash;95, 2022, \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.1177/1357633X20917816\u003c/span\u003e\u003cspan address=\"10.1177/1357633X20917816\" targettype=\"DOI\" 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":false,"highlight":"","institution":"","isAcceptedByJournal":true,"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":"breastfeeding, mental health, Mommy-Be, mHealth app, MAUQ, usability","lastPublishedDoi":"10.21203/rs.3.rs-3799118/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3799118/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe rise of mobile health (mHealth) apps has brought attention to their potential in supporting breastfeeding mothers and preventing postpartum depression (PPD). This study aims to evaluate the usability of Mommy-Be, a mobile phone app designed to support breastfeeding women and help them to acknowledge of their mental health and breastfeeding efficacy during lactation period. This study combines quantitative and qualitative methods, that asses Mommy-Be app's usability among breastfeeding mothers using the Mobile Application Usability Questionnaire (MAUQ) and conducted in-depth interviews with a subset of participants. The study included 50 breastfeeding mothers in Makassar, Indonesia, who were primarily between the ages of 19 and 42 and had diverse educational and employment backgrounds. Four weeks after using the Mommy-Be app, revealed a generally positive impression of the application. Based on MAUQ three dimensions, ease of use, interface satisfaction, usefulness, this study has been determined that the utilization of a Mommy-Be application is both acceptable and feasible as a mobile health (mHealth) solution for breastfeeding mothers. The mothers experience revealed diverse user impressions of the Mommy-Be application. Participants generally found it easy to use, with a favorable interface preference. Participants expressed various benefits of using Mommy-Be, including increased awareness of breastfeeding activities, assistance in meeting nutritional needs, and early detection of postpartum depressive disorders. However, challenges were identified, such as the inability to export data, lack of module integration, and dependence on an active internet connection. To enhance the application's utility, participants suggested improvements, such as data export capabilities, better module integration, consideration of the target audience's resources regarding internet access and the inclusion of educational content, such as the provision of interconnection with multiple lactation counsellors.\u003c/p\u003e","manuscriptTitle":"Usability Study of the Mommy-Be App: Exploring the Experience of Breastfeeding Mothers in Eastern Indonesia","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-01-08 19:23:29","doi":"10.21203/rs.3.rs-3799118/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":"76048166-3000-44f5-9317-c0bd25d336a0","owner":[],"postedDate":"January 8th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[],"tags":[],"updatedAt":"2024-03-28T18:21:18+00:00","versionOfRecord":{"articleIdentity":"rs-3799118","link":"https://doi.org/10.24857/rgsa.v18n3-089","journal":{"identity":"revista-de-gestao-social-e-ambiental","isVorOnly":true,"title":"Revista de Gestão Social e Ambiental"},"publishedOn":"2024-01-02 00:00:00","publishedOnDateReadable":"January 2nd, 2024"},"versionCreatedAt":"2024-01-08 19:23:29","video":"","vorDoi":"10.24857/rgsa.v18n3-089","vorDoiUrl":"https://doi.org/10.24857/rgsa.v18n3-089","workflowStages":[]},"version":"v1","identity":"rs-3799118","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-3799118","identity":"rs-3799118","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}