Mental health related stigma, service provision and utilization in Northern India: situational analysis.

Stigma, discrimination, poor help seeking, dearth of mental health professionals, inadequate services and facilities all adversely impact the mental health treatment gap. Service utilization by the community is influenced by cultural beliefs and literacy levels. We conducted a situational analysis in light of the little information available on mental health related stigma, service provision and utilization in Haryana, a state in Northern India. This involved: (a) qualitative key informant interviews; (b) health facility records review; and (c) policy document review to understand the local context of Faridabad district in Northern India. Ethical approvals for the study were taken before the study commenced. Phone call in-depth interviews were carried out with a purposive sample of 13 participants (Mean = 38.07 years) during the COVID-19 pandemic, which included 4 community health workers, 4 people with mental illness, 5 service providers (primary health care doctors and mental health specialists). Data for health facility review was collected from local primary health and specialist facilities while key policy documents were critically analysed for service provision and stigma alleviation activities. Thematic analysis was used to analyse patterns within the interview data. We found poor awareness and knowledge about mental illnesses, belief in faith and traditional healers, scarcity of resources (medicines, trained professionals and mental health inpatient and outpatient clinics), poor access to appropriate mental health facilities, and high costs for seeking mental health care. There is a critical gap between mental health related provisions in policy documents and its implementation at primary and district level.

Operational challenges in the pre-intervention phase of a mental health trial in rural India: reflections from SMART Mental Health.

BACKGROUND: Availability of mental health services in low- and middle-income countries is largely concentrated in tertiary care with limited resources and scarcity of trained professionals at the primary care level. SMART Mental Health is a strategy that combines a community anti-stigma campaign with a primary health care workforce strengthening initiative, using electronic decision support with the goal of better identifying and supporting people with common mental disorders in India. METHODS: We describe the challenges faced and lessons learnt during the pre-intervention phase of SMART Mental Health cluster Randomised Controlled Trial. Pre-intervention phase includes preliminary activities for setting-up the trial and research activities prior to delivery of the intervention. Field notes from project site visit, project team meetings and detailed follow-up discussions with members of the project team were used to document operational challenges and strategies adopted to overcome them. The socio-ecological model was used as the analytical framework to organise the findings. RESULTS: Key challenges included delays in government approvals, addressing community health worker needs, and building trust in the community. These were addressed through continuous communication, leveraging support of relevant stakeholders, and addressing concerns of community health workers and community. Issues related to use of digital platform for data collection were addressed by a dedicated technical support team. The COVID-19 pandemic and political unrest led to significant and unexpected challenges requiring important adaptations to successfully implement the project. CONCLUSION: Setting up of this trial has posed challenges at a combination of community, health system and broader socio-political levels. Successful mitigating strategies to overcome these challenges must be innovative, timely and flexibly delivered according to local context. Systematic ongoing documentation of field-level challenges and subsequent adaptations can help optimise implementation processes and support high quality trials. TRIAL REGISTRATION: The trial is registered with Clinical Trials Registry India (CTRI/2018/08/015355). Registered on 16th August 2018. http://ctri.nic.in/Clinicaltrials/showallp.php?mid1=23254&EncHid=&userName=CTRI/2018/08/015355.

Protocol for process evaluation of SMART Mental Health cluster randomised control trial: an intervention for management of common mental disorders in India.

INTRODUCTION: In India about 95% of individuals who need treatment for common mental disorders like depression, stress and anxiety and substance use are unable to access care. Stigma associated with help seeking and lack of trained mental health professionals are important barriers in accessing mental healthcare. Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health integrates a community-level stigma reduction campaign and task sharing with the help of a mobile-enabled electronic decision support system (EDSS)-to reduce psychiatric morbidity due to stress, depression and self-harm in high-risk individuals. This paper presents and discusses the protocol for process evaluation of SMART Mental Health. METHODS AND ANALYSIS: The process evaluation will use mixed quantitative and qualitative methods to evaluate implementation fidelity and identify facilitators of and barriers to implementation of the intervention. Case studies of six intervention and two control clusters will be used. Quantitative data sources will include usage analytics extracted from the mHealth platform for the trial. Qualitative data sources will include focus group discussions and interviews with recruited participants, primary health centre doctors, community health workers (Accredited Social Health Activits) who participated in the project and local community leaders. The design and analysis will be guided by Medical Research Council framework for process evaluations, the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) framework, and the normalisation process theory. ETHICS AND DISSEMINATION: The study has been approved by the ethics committee of the George Institute for Global Health, India and the Institutional Ethics Committee, All India Institute of Medical Sciences (AIIMS), New Delhi. Findings of the study will be disseminated through peer-reviewed publications, stakeholder meetings, digital and social media platforms. TRIAL REGISTRATION NUMBER: CTRI/2018/08/015355.

Impact of the COVID-19 pandemic on the human resources for health in India and key policy areas to build a resilient health workforce.

The COVID-19 pandemic has disrupted the already low resourced, fragmented and largely unregulated health systems in countries like India. It has only further exacerbated the stress on human resources for health (HRH) in many unanticipated ways. We explored the effect of COVID-19 pandemic on the health workforce in India, and analytically extrapolated the learnings to draw critical components to be addressed in the HRH policies, which can further be used to develop a detailed 'health workforce resilience' policy. We examined the existing literature and media reports published during the pandemic period, covering the gaps and challenges that impeded the performance of the health workers. Recommendations were designed by studying the learnings from various measures taken within India and in some other countries. We identified seven key areas that could be leveraged and improved for strengthening resilience among the health workforce. The system-level factors (at macro level) include developing a health workforce resilience policy, planning and funding for emergency preparedness, stakeholder engagement and incentivization mechanisms; the organization-level factors (meso level) include identifying HRH bench strength, mobilizing the health workforce, psycho-social support, protection from disease; and the individual-level factors (micro level) include measures around self-care by health workers. In keeping with the interdisciplinary nature of the associated factors, we emphasize on developing a future-ready health workforce using a multi-sectoral approach for building its strength and resilience.