Feasibility and applicability of implementing the Framework for Comprehensive Understanding of Structural Stigma in Mental Healthcare Systems (FOCUS-MHS): A case example of Nepal
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Introduction Mental health-related structural stigma is a multifaceted issue that significantly impacts access to quality mental healthcare, particularly in low-resource settings like Nepal. Therefore, there is a clear need to understand the complexities and identify gaps for targeted interventions through evaluations of various dimensions of structural stigma within healthcare systems. This study aimed to assess the feasibility and applicability of a mental health-related structural stigma measurement framework through its implementation in Nepal’s healthcare system. Methods A mixed-methods approach was employed, involving data mapping, key informant interviews, and rating exercises with diverse stakeholders, including policymakers, health workers, and people with lived experience (PWLEs). A visual analogue scale or Red/Amber/Green (RAG) rating scale was used to rate each indicator within the framework for the level of structural stigma based on the mapped information and their experiences. Results Twenty key informants were interviewed for this exercise. Most indicators within the framework were endorsed as yellow, followed by red by participants referring to mid to high levels of structural stigma within the healthcare system. The findings also revealed that the stakeholders perceived the framework as acceptable and applicable for measuring mental health-related structural stigma in the healthcare system. However, challenges were noted regarding the clarity of some indicators, limitations of the 3-coloured visual analogue rating, and the need for comparator conditions. Conclusion The study underscores the measurement framework's value as a tool for identifying and addressing structural stigma in a mental healthcare system in a low-resource setting. Stakeholder engagement and contextual adaptation are crucial for its successful implementation. The insights gained can inform structural reforms and improve mental health service delivery, ultimately promoting greater equity and access for PWLEs.