Abstract

BackgroundAvailability of basic mental health services is limited in rural areas of India. Health system and individual level factors such as lack of mental health professionals and infrastructure, poor awareness about mental health, stigma related to help seeking, are responsible for poor awareness and use of mental health services. We implemented a mental health services delivery model that leveraged technology and task sharing to facilitate identification and treatment of common mental disorders (CMDs) such as stress, depression, anxiety and suicide risk in rural areas of the state of Andhra Pradesh, India. The intervention was delivered by lay village health workers (Accredited Social Health Activists – ASHAs) and primary care doctors. An anti-stigma campaign was implemented prior to this activity. This paper reports the process evaluation of the intervention using mixed methods.MethodsA mixed methods pre-post evaluation assessed the intervention using quantitative service usage analytics from the server, and qualitative interviews with different stakeholders. Barriers and facilitators in implementing the intervention were identified.ResultsHealth service use increased significantly at post-intervention, ASHAs could followup 78.6% of those who had screened positive, and 78.6% of the 1243 Interactive Voice Response System calls made, were successful. Most respondents were aware of the intervention. They indicated that knowledge received through the intervention empowered them to approach ASHAs and share their mental health symptoms. ASHAs and doctors opined that EDSS was useful and easy to use. Medical camps organized in villages to increase access to the doctor were received positively by all. However, some aspects or facilitators of the intervention need to be improved, including network connectivity, booster training, anti-stigma campaigns, quality of mental health services provided by doctors, provision of psychotropic medications at primary health centers and frequency of health camps.ConclusionThe respondents’ views helped to understand the barriers and facilitators for improving the likely effectiveness of the intervention using Andersen’s Modified Behavioral Model of Health Services Use, and identify the mechanisms by which those factors affected mental health services uptake in the community.Trial registrationThe study is registered with Clinical Trials Registry India (Applied - 16/07/14-Ref2014/07/007256; registration received - 04/10/17-CTRI/2017/10/009992).

Highlights

  • Availability of basic mental health services is limited in rural areas of India

  • This paper reports on the mixed methods process evaluation for the SMART Mental Health Project

  • 1243 calls were placed to the community, Accredited Social Health Activist (ASHA) and doctors, of which 78.6% were successful

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Summary

Introduction

Availability of basic mental health services is limited in rural areas of India. Health system and individual level factors such as lack of mental health professionals and infrastructure, poor awareness about mental health, stigma related to help seeking, are responsible for poor awareness and use of mental health services. We implemented a mental health services delivery model that leveraged technology and task sharing to facilitate identification and treatment of common mental disorders (CMDs) such as stress, depression, anxiety and suicide risk in rural areas of the state of Andhra Pradesh, India. Even though effective treatment exists for mental disorders, lack of trained mental health professionals, poor infrastructure, ineffective government policies, low awareness and increased stigma related to mental health are likely to be important contributors to this treatment gap [3]. This is worse in rural settings [4]. We conducted a project that focused on a mental health services delivery model to screen, diagnose and manage common mental disorders (CMDs) such as stress, depression, anxiety and suicide risk - the Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health Project [8]

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