scholarly journals Understanding mobile application development and implementation for monitoring Posyandu data in Indonesia: a 3-year hybrid action study to build “a bridge” from the community to the national scale

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fedri Ruluwedrata Rinawan ◽  
Ari Indra Susanti ◽  
Indah Amelia ◽  
Mulya Nurmansyah Ardisasmita ◽  
Widarti ◽  
...  
Keyword(s):  
Quantitative Methods ◽  
Health Workers ◽  
Mobile Apps ◽  
National Level ◽  
Hybrid Approach ◽  
Data Entry ◽  
Mobile App ◽  
Wilcoxon Test ◽  
Limited Information ◽  
Application Development

Abstract Background Limited information is available on how mobile health (mHealth) application (app) technology on mother and child health (MCH) is developed. This research aimed (a) to explore the process of developing mobile apps for MCH community-based services in the Indonesian setting of Pos Pelayanan Terpadu (Posyandu/Integrated Health Service Post), (b) to determine the feasibility of using the app by community health workers (CHWs), and (c) to evaluate the scalability of the mobile app at the national level in Indonesia. Methods A hybrid method was used to synergistically combine the action research principles and mixed methods comprising qualitative and quantitative methods. This study was conducted in the Pasawahan District, Purwakarta, Indonesia, from 2017 to 2019. Content analysis, coding, and categorizing were performed using NVivo 12 Pro for transcribed data. The Wilcoxon test (2018 and 2019) was conducted using STATA 15 Special Edition. Results (1) The use of a CHW notebook for data entry into the Posyandu Information System book delayed the data reporting process, resulting in the need to develop a mobile app. (2) There were significant differences in CHWs’ knowledge (p = 0.000) and skills (p = 0.0097) on training (2018) and Posyandu phases (2019). (3) A total of 964 Posyandu have been registered in the Posyandu mobile app from almost all provinces in Indonesia. Conclusions The three-year hybrid approach includes the crucial phases that are necessary to develop a mobile app that is more user-friendly and can act as a substitute for CHWs’ book. Hence, its implementation is promising for use at the national level.

scholarly journals Understanding mobile application development and implementation to monitor Posyandu data in Indonesia: a 3-year hybrid action research to build “a bridge” from the community to the national scale

2020 ◽  
Author(s):  
Fedri Ruluwedrata Rinawan ◽  
Ari Indra Susanti ◽  
Indah Amelia ◽  
Mulya Nurmansyah Ardisasmita ◽  
Widarti ◽  
...  
Keyword(s):  
Action Research ◽  
Quantitative Methods ◽  
Health Workers ◽  
National Level ◽  
Hybrid Approach ◽  
Data Entry ◽  
Mobile App ◽  
Wilcoxon Test ◽  
Application Development ◽  
Feasibility Assessment

Abstract Background. There is a small number of facts available to better understand how mobile health application technology on mother and child health (MCH) is developed. This study is aimed: (a) to explore the process of developing the mobile app in MCH community-based services in the Indonesian setting/ Posyandu ( Pos Pelayanan Terpadu ), (b) to perform feasibility assessment among the community health workers (CHWs), and (c) to see the scalability of the mobile app to the national level in Indonesia. Methods. A hybrid method in which the action research principles and the mixed method, which comprise qualitative and quantitative methods, were synergistically combined for the end-users. The study was conducted in Pasawahan sub-district, Purwakarta, Indonesia from 2017 to 2019. Content analysis, coding, and categorizing were carried out using NVivo 12 Pro for the transcribed data. Wilcoxon Test (2018 and 2019) was conducted using STATA 15 Special Edition. Results. (1) The use of a CHW notebook for data entry in the Posyandu information system book delayed the data reporting process, resulting in the need to develop a mobile app; (2) There are significant differences in CHWs’ knowledge ( p =0.000) and skills ( p =0.0097) on training (2018) and Posyandu phases (2019); (3) There have been 964 Posyandu registered to the Posyandu mobile app from almost all provinces in Indonesia. Conclusions. The 3-year hybrid approach suggests the crucial phases to develop a mobile app in a more user-friendly manner to substitute the use of CHWs’ old-fashion book use, hence its implementation is promising for national use.

scholarly journals Understanding mobile application development and implementation to monitor Posyandu data in Indonesia: a 3-years hybrid action research to build “a bridge” from the community to national use

2020 ◽  
Author(s):  
Fedri Ruluwedrata Rinawan ◽  
Ari Indra Susanti ◽  
Indah Amelia ◽  
Mulya Nurmansyah Ardisasmita ◽  
Widarti ◽  
...  
Keyword(s):  
Action Research ◽  
Quantitative Methods ◽  
Health Workers ◽  
Hybrid Approach ◽  
Data Entry ◽  
Mobile App ◽  
Wilcoxon Test ◽  
Application Development ◽  
Feasibility Assessment ◽  
Qualitative And Quantitative Methods

Abstract Background. There is a small number of facts available to understand better how mobile health application technology on mother and child health (MCH) is developed. This study is aimed: (a) to explore the process of developing the mobile app in MCH community-based services in the Indonesian setting/Posyandu, (b) to perform feasibility assessment among the community health workers (CHWs), and (c) to see the potential use of the mobile app in the country. Method. Using a hybrid method in which the action research principles and the mixed-method, which comprise qualitative and quantitative methods, were synergistically combined for the end-users. The study was conducted in Pasawahan sub-district, Purwakarta, Indonesia, from 2017 to 2019. Content analysis, coding, and categorizing were carried out using NVivo 12 Pro for the transcribed data. Wilcoxon Test (2018 and 2019) was conducted using STATA 15 Special Edition. Results. (1) The use of a CHW notebook for data entry in the Posyandu information system book delayed the data reporting process, resulting in the need to develop a mobile app; (2) There are significant differences of CHW’s knowledge (p=0.000) and skills (p=0.0097) on training (2018) and Posyandu phases (2019); (3) As many as 964 posyandu are registered to Posyandu mobile app from almost all provinces in Indonesia. Conclusions. The 3-years hybrid approach suggests the crucial phases to develop a mobile app in a more user-friendly manner to substitute the use of CHW’s old-fashion book use and that its implementation is promising for national use.

scholarly journals Understanding mobile application development and implementation to monitor Posyandu data in Indonesia: a 3-years hybrid action research to build "a bridge" from community to national use

2020 ◽  
Author(s):  
Fedri Ruluwedrata Rinawan ◽  
Ari Indra Susanti ◽  
Indah Amelia ◽  
Mulya Nurmansyah Ardisasmita ◽  
Widarti ◽  
...  
Keyword(s):  
Action Research ◽  
Mobile Application ◽  
Quantitative Methods ◽  
Hybrid Approach ◽  
Data Entry ◽  
Wilcoxon Test ◽  
Application Development ◽  
Mobile Health Application ◽  
Mother And Child ◽  
Almost All

Abstract Background. There is little evidence available to better understand how mobile health application technology on mother and child health is designed. This study aimed: (a) to explore community health worker (CHW)/cadre and mothers’ activities information related with Posyandu, as well as inputs and feedbacks in developing the Posyandu mobile application, (b) to compare between training and implementation phases of the application, (c) and to see the potential use of the Posyandu mobile application in the country. Method. Using a hybrid method in which the action research principles and qualitative-quantitative methods were synergistically combined for the end users. The study was conducted in Pasawahan sub-district, Purwakarta, Indonesia from 2017 to 2019. Content analysis, coding and categorizing were done using NVivo 12 Pro for the transcribed data. Wilcoxon Test (2018 and 2019) was conducted using STATA 15 Special Edition. Results. (1) the use of CHW notebook for data entry in Posyandu information system book made a long delay in the data reporting process, thus, the development of mobile application would be necessary, (2) there were significant differences of CHW’s knowledge (p=0.000) and skills (p=0.0097) on training (2018) and Posyandu phases (2019), (3) As many as 964 posyandu are registered to Posyandu mobile application from almost all provinces in Indonesia. Conclusions. The 3-years hybrid approach suggests the crucial phases to build a mobile application in a more user-friendly manner that can replace the CHW’s old-fashion book use, and that it is promising for national use.

scholarly journals Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study (Preprint)

2020 ◽  
Author(s):  
Johannes Knitza ◽  
David Simon ◽  
Antonia Lambrecht ◽  
Christina Raab ◽  
Koray Tascilar ◽  
...  
Keyword(s):  
Chronic Diseases ◽  
Rheumatic Diseases ◽  
Mobile Health ◽  
Mobile Apps ◽  
Data Entry ◽  
Mobile App ◽  
Survey Study ◽  
Full Potential ◽  
Ehealth Literacy ◽  
Medical Apps

BACKGROUND Mobile health (mHealth) defines the support and practice of health care using mobile devices and promises to improve the current treatment situation of patients with chronic diseases. Little is known about mHealth usage and digital preferences of patients with chronic rheumatic diseases. OBJECTIVE The aim of the study was to explore mHealth usage, preferences, barriers, and eHealth literacy reported by German patients with rheumatic diseases. METHODS Between December 2018 and January 2019, patients (recruited consecutively) with rheumatoid arthritis, psoriatic arthritis, and axial spondyloarthritis were asked to complete a paper-based survey. The survey included questions on sociodemographics, health characteristics, mHealth usage, eHealth literacy using eHealth Literacy Scale (eHEALS), and communication and information preferences. RESULTS Of the patients (N=193) who completed the survey, 176 patients (91.2%) regularly used a smartphone, and 89 patients (46.1%) regularly used social media. Patients (132/193, 68.4%) believed that using medical apps could be beneficial for their own health. Out of 193 patients, only 8 (4.1%) were currently using medical apps, and only 22 patients (11.4%) stated that they knew useful rheumatology websites/mobile apps. Nearly all patients (188/193, 97.4%) would agree to share their mobile app data for research purposes. Out of 193 patients, 129 (66.8%) would regularly enter data using an app, and 146 patients (75.6%) would welcome official mobile app recommendations from the national rheumatology society. The preferred duration for data entry was not more than 15 minutes (110/193, 57.0%), and the preferred frequency was weekly (59/193, 30.6%). Medication information was the most desired app feature (150/193, 77.7%). Internet was the most frequently utilized source of information (144/193, 74.6%). The mean eHealth literacy was low (26.3/40) and was positively correlated with younger age, app use, belief in benefit of using medical apps, and current internet use to obtain health information. CONCLUSIONS Patients with rheumatic diseases are very eager to use mHealth technologies to better understand their chronic diseases. This open-mindedness is counterbalanced by low mHealth usage and competency. Personalized mHealth solutions and clear implementation recommendations are needed to realize the full potential of mHealth in rheumatology.

scholarly journals Investigating Agile Adoption in Saudi Arabian Mobile Application Development

2020 ◽  
pp. 265-271
Author(s):  
Fahad S. Altuwaijri ◽  
Maria Angela Ferrario
Keyword(s):  
Saudi Arabia ◽  
Software Industry ◽  
Mobile Apps ◽  
Mobile App ◽  
Medium Size ◽  
Application Development ◽  
App Development ◽  
Mobile Application Development ◽  
Tools And Techniques ◽  
Insight Into

Abstract Mobile app development has been considered as one of the fastest growing segments of the software industry both worldwide and in Saudi Arabia. Due to their pervasiveness, mobile applications call for consideration of complex and rapidly changing requirements given the diversity of their environments. Therefore, agile is considered the most suitable methodology for developing mobile apps. However, little research has investigated agile adoption in mobile app development in the real context. Therefore, the purpose of this PhD is to investigate the factors that have a significant impact on agile adoption in mobile app development by small and medium-size software organisations in Saudi Arabia. The expected key contribution of this research will be a deep insight into agile adoption in mobile app development, and the design and development of tools and techniques that may support agile adoption within Saudi context.

scholarly journals Feasibility and Effectiveness of Mobile App for Active Case Finding for Tuberculosis in India

2020 ◽  
Author(s):  
Weijia Zhang ◽  
Mariam E. Dogar ◽  
Monika Jain ◽  
Edwin Rodriges ◽  
Sangeeta Pathak ◽  
...  
Keyword(s):  
Health Workers ◽  
Mobile Apps ◽  
Case Finding ◽  
Mobile App ◽  
Ease Of Use ◽  
Low Grade ◽  
Active Case Finding ◽  
Mobile Data Collection ◽  
Active Case ◽  
Slum Areas

Background: Tuberculosis (TB) is an infectious disease with 2.8 million cases and 480,000 deaths each year in India. The city of Indore alone with a population of 3.5 million had 7,839 identified TB cases in 2017. However, about two to three thousand additional cases remain unidentified per district officials. The unidentified cases lead to an endemic TB and hamper the efforts of organizations such as The Collaborative to Eliminate TB from India (CETI) to reduce the incidence of TB with the method of Active Case Finding (ACF).1 Previously, 1,332 mobile apps attempted to use technology to overcome the challenge of unreported TB patients in Indian slum areas due to the inaccurate, lost, or unhelpful data collected in ACF; yet the existing apps for TB prevention and treatment possessed minimal functionality. Over a period of 3 months, the CETI developed a mobile data collection app to generate a TB diagnostic survey and to collect data from patient registration form. Methods: To study the feasibility and effectiveness of the app, a pilot survey was conducted of 163,496 homes covering a population of 828,020 in the slum areas of Indore and Bhopal. Findings: Between the years of 2018 and 2019, 14,349 pulmonary suspected cases and 4,357 extra pulmonary suspected cases of TB were identified. Among the total of 18,706 cases identified, 7,756 patients (48.1%) had low-grade fever for over 2 weeks, 6,331 patients (39.2%) had persistent cough for more than 2 weeks, 7,693 patients (47.7%) had weight loss, and 251 patients (1.6%) had cough with blood. Interpretation: This pilot experience shows that an app is a useful tool for TB case recording and follow-up in the field. Further training of the health workers, and more widespread availability and ease of use of mobile phones will be necessary.

scholarly journals Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore

10.2196/24730 ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. e24730
Author(s):  
Young Ern Saw ◽  
Edina Yi-Qin Tan ◽  
Jessica Shijia Liu ◽  
Jean CJ Liu
Keyword(s):  
Online Survey ◽  
Mobile Apps ◽  
National Level ◽  
Nationwide Survey ◽  
Primary Outcome Measure ◽  
Mobile App ◽  
Contact Tracing ◽  
Data Set ◽  
Network Analyses ◽  
Pandemic Severity

Background During the COVID-19 pandemic, new digital solutions have been developed for infection control. In particular, contact tracing mobile apps provide a means for governments to manage both health and economic concerns. However, public reception of these apps is paramount to their success, and global uptake rates have been low. Objective In this study, we sought to identify the characteristics of individuals or factors potentially associated with voluntary downloads of a contact tracing mobile app in Singapore. Methods A cohort of 505 adults from the general community completed an online survey. As the primary outcome measure, participants were asked to indicate whether they had downloaded the contact tracing app TraceTogether introduced at the national level. The following were assessed as predictor variables: (1) participant demographics, (2) behavioral modifications on account of the pandemic, and (3) pandemic severity (the number of cases and lockdown status). Results Within our data set, the strongest predictor of the uptake of TraceTogether was the extent to which individuals had already adjusted their lifestyles because of the pandemic (z=13.56; P<.001). Network analyses revealed that uptake was most related to the following: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics were not significantly associated with app downloads. Conclusions Efforts to introduce contact tracing apps could capitalize on pandemic-related behavioral adjustments among individuals. Given that a large number of individuals is required to download contact tracing apps for contact tracing to be effective, further studies are required to understand how citizens respond to contact tracing apps. Trial Registration ClinicalTrials.gov NCT04468581, https://clinicaltrials.gov/ct2/show/NCT04468581

scholarly journals Effort Estimation in Traditional and Agile Mobile Application Development & Testing

2018 ◽  
Vol 12 (3) ◽  
pp. 1265
Author(s):  
Anureet Kaur ◽  
Kulwant Kaur
Keyword(s):  
Software Development ◽  
Mobile Devices ◽  
Mobile Application ◽  
Mobile Apps ◽  
Human Life ◽  
Mobile App ◽  
Effort Estimation ◽  
Application Development ◽  
Estimation Techniques ◽  
Software Application

Smartphones<em>/</em>mobile devices are enduring all the aspects of human life. With the significant increase in demand for applications running on smartphones/mobile devices, developers and testers are anticipated to deliver high quality, on time and within budget applications. The estimation of development and testing provides a baseline and act as a tracking gear for stakeholders and developers. There are various approaches for estimation of traditional software development. But mobile applications are considered different from traditional software such as from those running on desktop, laptop or on the web. Many traditional estimation techniques used for these software are adapted to mobile domain. With agile software development (ASD) methodology, the scenario of development and estimation has changed drastically and so as mobile app development and estimation. This paper provides a Systematic Literature Review (SLR) on traditional estimation techniques and agile estimation techniques applied in mobile software/application. Also, effort attributes and accuracy parameters for estimation in mobile apps are presented. However, to date, there are very fewer studies done on the mobile application estimation domain using agile methodology.

scholarly journals Predicting Public Uptake of Digital Contact Tracing During the COVID-19 Pandemic: Results From a Nationwide Survey in Singapore (Preprint)

2020 ◽  
Author(s):  
Young Ern Saw ◽  
Edina Yi-Qin Tan ◽  
Jessica Shijia Liu ◽  
Jean CJ Liu
Keyword(s):  
Online Survey ◽  
Mobile Apps ◽  
National Level ◽  
Nationwide Survey ◽  
Primary Outcome Measure ◽  
Mobile App ◽  
Contact Tracing ◽  
Data Set ◽  
Network Analyses ◽  
Pandemic Severity

BACKGROUND During the COVID-19 pandemic, new digital solutions have been developed for infection control. In particular, contact tracing mobile apps provide a means for governments to manage both health and economic concerns. However, public reception of these apps is paramount to their success, and global uptake rates have been low. OBJECTIVE In this study, we sought to identify the characteristics of individuals or factors potentially associated with voluntary downloads of a contact tracing mobile app in Singapore. METHODS A cohort of 505 adults from the general community completed an online survey. As the primary outcome measure, participants were asked to indicate whether they had downloaded the contact tracing app TraceTogether introduced at the national level. The following were assessed as predictor variables: (1) participant demographics, (2) behavioral modifications on account of the pandemic, and (3) pandemic severity (the number of cases and lockdown status). RESULTS Within our data set, the strongest predictor of the uptake of TraceTogether was the extent to which individuals had already adjusted their lifestyles because of the pandemic (z=13.56; <i>P</i>&lt;.001). Network analyses revealed that uptake was most related to the following: using hand sanitizers, avoiding public transport, and preferring outdoor over indoor venues during the pandemic. However, demographic and situational characteristics were not significantly associated with app downloads. CONCLUSIONS Efforts to introduce contact tracing apps could capitalize on pandemic-related behavioral adjustments among individuals. Given that a large number of individuals is required to download contact tracing apps for contact tracing to be effective, further studies are required to understand how citizens respond to contact tracing apps. CLINICALTRIAL ClinicalTrials.gov NCT04468581, https://clinicaltrials.gov/ct2/show/NCT04468581

scholarly journals Qualitative Assessment of the Feasibility, Usability, and Acceptability of a Mobile Client Data App for Community-Based Maternal, Neonatal, and Child Care in Rural Ghana

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Jessica D. Rothstein ◽  
Larissa Jennings ◽  
Anitha Moorthy ◽  
Fan Yang ◽  
Lisa Gee ◽  
...  
Keyword(s):  
Health Workers ◽  
Mobile Apps ◽  
Monitoring Program ◽  
Mobile App ◽  
Qualitative Assessment ◽  
District Health ◽  
Mobile Client ◽  
Rural Ghana ◽  
Frontline Health Workers ◽  
Client Data

Mobile phone applications may enhance the delivery of critical health services and the accuracy of health service data. Yet, the opinions and experiences of frontline health workers on using mobile apps to track pregnant and recently delivered women are underreported. This evaluation qualitatively assessed the feasibility, usability, and acceptability of a mobile Client Data App for maternal, neonatal, and child client data management by community health nurses (CHNs) in rural Ghana. The mobile app enabled CHNs to enter, summarize, and query client data. It also sent visit reminders for clients and provided a mechanism to report level of care to district officers. Fourteen interviews and two focus groups with CHNs, midwives, and district health officers were conducted, coded, and thematically analyzed. Results indicated that the app was easily integrated into care, improved CHN productivity, and was acceptable due to its capacity to facilitate client follow-up, data reporting, and decision-making. However, the feasibility and usability of the app were hindered by high client volumes, staff shortages, and software and device challenges. Successful integration of mobile client data apps for frontline health workers in rural and resource-poor settings requires real-time monitoring, program investments, and targeted changes in human resources.

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