Search

There is increasing attention to the impacts of stigma and discrimination related to mental health on quality of life and access to and quality of healthcare. Effective strategies for stigma reduction exist, but most evidence comes from high-income settings. Recent reviews of stigma research have identified gaps in the field, including limited cultural and contextual adaptation of interventions, a lack of contextual psychometric information on evaluation tools, and, most notably, a lack of multi-level strategies for stigma reduction. The Indigo Partnership research programme will address these knowledge gaps through a multi-country, multi-site collaboration for anti-stigma interventions in low- and middle-income countries (LMICs) (China, Ethiopia, India, Nepal, and Tunisia). The Indigo Partnership aims to: (1) carry out research to strengthen the understanding of mechanisms of stigma processes and reduce stigma and discrimination against people with mental health conditions in LMICs; and (2) establish a strong collaborative research consortium through the conduct of this programme. Specifically, the Indigo Partnership involves developing and pilot testing anti-stigma interventions at the community, primary care, and mental health specialist care levels, with a systematic approach to cultural and contextual adaptation across the sites. This work also involves transcultural translation and adaptation of stigma and discrimination measurement tools. The Indigo Partnership operates with the key principle of partnering with people with lived experience of mental health conditions for the development and implementation of the pilot interventions, as well as capacity building and cross-site learning to actively develop a more globally representative and equitable mental health research community. This work is envisioned to have a long-lasting impact, both in terms of the capacity building provided to participating institutions and researchers, and the foundation it provides for future research to extend the evidence base of what works to reduce and ultimately end stigma and discrimination in mental health.

Background: Stigma and discrimination towards people with mental health conditions by their communities are common worldwide. This can result in a range of negative outcomes for affected persons, including poor access to health care. However, evidence is still patchy from low- and middle-income countries (LMICs) on affordable, community-based interventions to reduce mental health-related stigma and to improve access to mental health care., Methods: This study aims to conduct a feasibility (proof-of-principle) pilot study that involves developing, implementing and evaluating a community-based, multi-component, public awareness-raising intervention (titled Indigo-Local), designed to reduce stigma and discrimination and to increase referrals of people with mental health conditions for assessment and treatment. It is being piloted in five LMICs - China, Ethiopia, India, Nepal and Tunisia - and includes several key components: a stakeholder group workshop; a stepped training programme (using a 'Training of Trainers' approach) of community health workers (or similar cadres of workers) and service users that includes repeated supervision and booster sessions; awareness-raising activities in the community; and a media campaign. Social contact and service user involvement are instrumental to all components. The intervention is being evaluated through a mixed-methods pre-post study design that involves quantitative assessment of stigma outcomes measuring knowledge, attitudes and (discriminatory) behaviour; quantitative evaluation of mental health service utilization rates (where feasible in sites); qualitative exploration of the potential effectiveness and impact of the Indigo-Local intervention; a process evaluation; implementation evaluation; and an evaluation of implementation costs., Discussion: The outcome of this study will be contextually adapted, evidence-based interventions to reduce mental health-related stigma in local communities in five LMICs to achieve improved access to healthcare. We will have replicable models of how to involve people with lived experience as an integral part of the intervention and will produce knowledge of how intervention content and implementation strategies vary across settings. The interventions and their delivery will be refined to be acceptable, feasible and ready for larger-scale implementation and evaluation. This study thereby has the potential to make an important contribution to the evidence base on what works to reduce mental health-related stigma and discrimination and improve access to health care., Competing Interests: Declarations Competing interests The authors declare that they have no competing interests.

Background: Mental health and other health professionals working in mental health care may contribute to the experiences of stigma and discrimination among mental health service users, but can also help reduce the impact of stigma on service users. However the few studies of interventions to equip such professionals to be anti-stigma agents those took place in High-Income Countries. This study assesses the feasibility, potential effectiveness and costs of Responding to Experienced and Anticipated Discrimination training for health professionals working in mental health care (READ-MH) across Low- and Middle-Income Countries (LMICs). Methods: This is an uncontrolled pre-post mixed methods feasibility study of READ-MH training at seven sites across five LMICs (China, Ethiopia, India, Nepal, and Tunisia). Outcome measures: knowledge based on course content; attitudes to working to address the impact of stigma on service users; and skills in responding constructively to service users' reports of discrimination. The training draws upon the evidence bases for stigma reduction, health advocacy and medical education and is tailored to sites through situational analyses. Its content, delivery methods and intensity were agreed through a consensus exercise with site research teams. READ-MH will be delivered to health professionals working in mental health care immediately after baseline data collection; outcome measures will be collected post-training and three months post-baseline, followed by qualitative data collection. Fidelity will be rated during delivery of READ-MH, and data on training costs will be collected. Quantitative data will be assessed using generalised linear mixed models. Qualitative data will be evaluated by thematic analysis to identify feedback about the training methods and content, including the implementability of the knowledge and skills learned. Pooled and site-specific training costs per trainee and per session will be reported. Conclusions: The training development used a participatory and contextualized approach. Evaluation design strengths include the diversity of settings; the use of mixed methods; the use of a skills-based measure; and knowledge and attitude measures aligned to the target population and training. Limitations are the uncertain generalisability of skills performance to routine care, and the impact of COVID-19 restrictions at several sites limiting qualitative data collection for situational analyses.