Mukherjee, Ankita, Daniel, Mercian, Kallakuri, Sudha, Devarapalli, Siddhardha, Yatirajula, Sandhya Kanaka, Kaur, Amanpreet
ORCID: https://orcid.org/0000-0002-8049-1385, Devarsetty, Praveen, Raman, Usha, Essue, Beverley M, Sagar, Rajesh, Kant, Shashi, Saxena, Shekhar, Thornicroft, Graham, Patel, Anushka and Maulik, Pallab K
(2026)
Barriers and Facilitators in the Implementation of the Systematic Medical Appraisal, Referral, and Treatment (SMART) Mental Health Digital Intervention in Rural India: Mixed Methods Process Evaluation Study.
JMIR Mental Health, 13: e89164.
ISSN 2368-7959
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Abstract
Background
An estimated 150 million people have mental health care needs in India, but only 15% are able to access care. Depression and anxiety contribute to a large proportion of mental morbidity. The Systematic Medical Appraisal, Referral, and Treatment (SMART) Mental Health trial used a mobile-based clinical decision support system for primary care doctors and community health workers (CHWs) to identify and treat people at risk of depression, anxiety disorders, and self-harm. A community-based antistigma campaign was also delivered. The intervention led to improved remission rates for depression and anxiety and lower stigma scores.
Objective
A process evaluation assessed (1) implementation fidelity, barriers, and facilitators; (2) perceptions of doctors and CHWs on the use of SMART Mental Health; and (3) the causal pathways that led to trial outcomes.
Methods
A mixed methods evaluation combining backend program data and qualitative data was conducted. A total of 38 focus group discussions and 37 key informant interviews were conducted with primary doctors, CHWs, government officials, local community leaders, and research project staff. The data were coded and analyzed using a framework analysis approach based on the UK Medical Research Council guidance on process evaluations and the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework.
Results
The intervention had high implementation fidelity. Across clusters, the median proportion of participants with at least 1 CHW follow-up was 98% (IQR 96.6%-100%). The referral rate for a psychiatrist was low (224/1697, 13.2%), and only 23.6% (53/224) of those referred visited the psychiatrist. The median exposure to antistigma audiovisual content was 84% (IQR 65.7%-95.9%). At the community level, key implementation barriers included cultural inhibitions in seeking mental health care and the unavailability of patients due to competing demands. Proximity and tight social connections between CHWs and their communities were important facilitators in seeking medical help. Doctor and CHW training, mentoring, and feedback provided by program staff were important facilitators to support the use of the digital health components by the health workforce.
Conclusions
A complex intervention that included both community-based antistigma and clinical digital health interventions achieved high implementation fidelity. Key areas to consider for maintenance of such interventions include (1) the need for sustained community-based strategies to address stigma and other cultural barriers; (2) health workforce strengthening policies, including supportive supervision for CHWs and doctors to increase capability in the use of mental health digital health tools; and (3) strategies to improve access to specialist care for those with more complex care needs.
Trial Registration
Clinical Trial Registry India CTRI/2018/08/015355; https://tinyurl.com/5r63suxp
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Anxiety | Electronic decision support system | LMIC | Low- middle-income country | India | Mental health depression | mHealth | Process evaluation | Stigma |
| Subjects: | Physical, Life and Health Sciences > Medicine Physical, Life and Health Sciences > Public Health, Environmental and Occupational Health |
| Vol/Issue no. published date: | May 2026 |
| Depositing User: | Mr. Syed Anas |
| Date Deposited: | 08 May 2026 09:33 |
| Last Modified: | 08 May 2026 09:33 |
| Official URL: | https://doi.org/10.2196/89164 |
| Funders: | Australian National Health and Medical Research Council |
| URI: | https://pure.jgu.edu.in/id/eprint/11292 |
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