TY - JOUR
T1 - Usability and acceptability of the software ‘Arogya Sahyog’ to assess non-communicable diseases in rural India
AU - Zaman, Sojib Bin
AU - Evans, Roger G.
AU - Singh, Rajesh
AU - Singh, Rajesh
AU - Singh, Akash
AU - Goh, Tian Yu
AU - Singh, Parul
AU - De Silva, Nisal
AU - Thrift, Amanda G.
N1 - Funding Information:
All sources of financial or other support for the manuscript: This work is supported by intramural funding from Monash University, Australia. SBZ received a scholarship from the Australian Government Research Training Program (RTP) in support of his academic career. This funding source had no role in the design, implementation, analyses, interpretation of the data, or decision to submit results.
Funding Information:
RGE reports grants from Monash University during the conduct of the study; grants from National Health & Medical Research Council (Australia), outside the submitted work; and has received consulting fees from Medtronic Australasia, in relation to work other than that described in this manuscript. AGT reports grants from Monash University, during the conduct of the study; and grants from the National Health & Medical Research Council (Australia), outside the submitted work. None of the other authors have any conflicts of interest to declare.
Publisher Copyright:
© 2022
PY - 2022/12
Y1 - 2022/12
N2 - Background: In rural regions with few doctors to manage non-communicable diseases (NCDs), people rely on community health workers (CHWs). We developed a tablet-based decision support application (app), called ‘Arogya Sahyog’, to support CHWs in the field. Objective: To assess usability of the app for screening, providing lifestyle advice, and referring patients with NCDs to health centers. Methods: Sixteen CHWs in the Tehri Garhwal district of India underwent a five-day training program in November 2019. We assessed: (i) acceptability: through a self-administered questionnaire; (ii) fidelity: by comparing the app data with ‘pre-set’ responses, and (iii) usability: through the validated system usability scale (SUS). The ‘Strengths, Weaknesses, Opportunities and Threats (SWOT)’ framework was used to identify enablers of, and barriers to, use of the app. Results: Usability on the SUS was 88.3% (95% confidence interval 85.6-92.0%), with ratings between ‘excellent’ and ‘best imaginable’. Most CHWs (87-93%) reported that the app was user-friendly, had a pleasing color scheme, and was entertaining to use. Human error on data entry was < 4%, with most errors being in free-text fields. Four main themes were identified in using the app: ‘strengths’ (clear instructions), ‘weaknesses’ (difficulty in using the inbuilt keyboard), opportunities’ (high motivation), and ‘threats’ (increased workload and interference with their routine work). Conclusion: Arogya Sahyog was well accepted and achieved an excellent usability rating, supporting its use by CHWs. The next step is to test whether CHWs can use the app to identify and manage people with NCDs in the community.
AB - Background: In rural regions with few doctors to manage non-communicable diseases (NCDs), people rely on community health workers (CHWs). We developed a tablet-based decision support application (app), called ‘Arogya Sahyog’, to support CHWs in the field. Objective: To assess usability of the app for screening, providing lifestyle advice, and referring patients with NCDs to health centers. Methods: Sixteen CHWs in the Tehri Garhwal district of India underwent a five-day training program in November 2019. We assessed: (i) acceptability: through a self-administered questionnaire; (ii) fidelity: by comparing the app data with ‘pre-set’ responses, and (iii) usability: through the validated system usability scale (SUS). The ‘Strengths, Weaknesses, Opportunities and Threats (SWOT)’ framework was used to identify enablers of, and barriers to, use of the app. Results: Usability on the SUS was 88.3% (95% confidence interval 85.6-92.0%), with ratings between ‘excellent’ and ‘best imaginable’. Most CHWs (87-93%) reported that the app was user-friendly, had a pleasing color scheme, and was entertaining to use. Human error on data entry was < 4%, with most errors being in free-text fields. Four main themes were identified in using the app: ‘strengths’ (clear instructions), ‘weaknesses’ (difficulty in using the inbuilt keyboard), opportunities’ (high motivation), and ‘threats’ (increased workload and interference with their routine work). Conclusion: Arogya Sahyog was well accepted and achieved an excellent usability rating, supporting its use by CHWs. The next step is to test whether CHWs can use the app to identify and manage people with NCDs in the community.
KW - Clinical decision support
KW - Community health workers
KW - India
KW - Mobile health
UR - http://www.scopus.com/inward/record.url?scp=85138548595&partnerID=8YFLogxK
U2 - 10.1016/j.hlpt.2022.100681
DO - 10.1016/j.hlpt.2022.100681
M3 - Article
AN - SCOPUS:85138548595
SN - 2211-8837
VL - 11
JO - Health Policy and Technology
JF - Health Policy and Technology
IS - 4
M1 - 100681
ER -