EVITA 2.0, an updated framework for understanding evidence-based mental health policy agenda-setting: tested and informed by key informant interviews in a multilevel comparative case study.

BACKGROUND: Mental health remains a neglected issue on the global health policy agenda, particularly in low- and middle-income countries (LMIC), and the translation of research evidence into policy and practice is slow. The new EVITA framework was developed to improve mental health evidence uptake and policy agenda-setting in LMICs. In addition, behavioural science methods may be able to support knowledge translation to policy. METHODS: Using a mixed-methods study design, we applied and tested the newly developed EVITA 1.1 framework against three case studies related to South Africa at the district, national and international levels. In-depth interviews with 26 experts were conducted between August and November 2019, transcribed, coded and analysed in NVivo, using iterative categorization. The data were analysed against both the EVITA framework and the MINDSPACE framework for behavioural insights. RESULTS: In our case study comparison, we found that (1) research translation to the policy agenda occurs in a complex, fluid system which includes multiple "research clouds", "policy spheres" and other networks; (2) mental health research policy agenda-setting is based on key individuals and intermediaries and their interrelationships; and (3) key challenges and strategies for successful research to policy agenda impact are known, but are frequently not strategically implemented, such as including all stakeholders to overcome the policy implementation gap. Our data also suggest that behavioural science methods can be strategically applied to support knowledge translation to policy agenda-setting. CONCLUSION: We found that the EVITA framework is useful for understanding and improving mental health research policy interrelationships to support evidence uptake to the policy agenda, and that behavioural science methods are effective support mechanisms. The revised EVITA 2.0 framework therefore includes behavioural insights, for improved mental health policy agenda-setting in LMICs. More research is needed to understand whether EVITA can be applied to other LMICs and to high-income contexts.

A systematic review of frameworks for the interrelationships of mental health evidence and policy in low- and middle-income countries.

BACKGROUND: The interrelationships between research evidence and policy-making are complex. Different theoretical frameworks exist to explain general evidence-policy interactions. One largely unexplored element of these interrelationships is how evidence interrelates with, and influences, policy/political agenda-setting. This review aims to identify the elements and processes of theories, frameworks and models on interrelationships of research evidence and health policy-making, with a focus on actionability and agenda-setting in the context of mental health in low- and middle-income countries (LMICs). METHODS: A systematic review of theories was conducted based on the BeHeMOTh search method, using a tested and refined search strategy. Nine electronic databases and other relevant sources were searched for peer-reviewed and grey literature. Two reviewers screened the abstracts, reviewed full-text articles, extracted data and performed quality assessments. Analysis was based on a thematic analysis. The included papers had to present an actionable theoretical framework/model on evidence and policy interrelationships, such as knowledge translation or evidence-based policy, specifically target the agenda-setting process, focus on mental health, be from LMICs and published in English. RESULTS: From 236 publications included in the full text analysis, no studies fully complied with our inclusion criteria. Widening the focus by leaving out 'agenda-setting', we included ten studies, four of which had unique conceptual frameworks focusing on mental health and LMICs but not agenda-setting. The four analysed frameworks confirmed research gaps from LMICs and mental health, and a lack of focus on agenda-setting. Frameworks and models from other health and policy areas provide interesting conceptual approaches and lessons with regards to agenda-setting. CONCLUSION: Our systematic review identified frameworks on evidence and policy interrelations that differ in their elements and processes. No framework fulfilled all inclusion criteria. Four actionable frameworks are applicable to mental health and LMICs, but none specifically target agenda-setting. We have identified agenda-setting as a research theory gap in the context of mental health knowledge translation in LMICs. Frameworks from other health/policy areas could offer lessons on agenda-setting and new approaches for creating policy impact for mental health and to tackle the translational gap in LMICs.

[Sustainable development goals and mental health]. / Objetivos de Desarrollo Sostenible y Salud Mental.

In 2015, the United Nations Sustainable Development Goals (SDGs) set the course for a more equitable distribution of resources globally. For the first time in history, this collective global commitment explicitly included mental health-related objectives, and manifested them as targets in the health SDG 3. This represents a unique opportunity to increase coverage and quality of services, especially in low- and middle-income countries, in which the current treatment gap surpasses 80% even for the most severe disorders. Importantly, although not explicitly highlighted in the SDGs, mental health is implicitly cross-linked to multiple of the other goals and targets, which stresses the importance of investing in improving population-level mental health as a pre-condition to: ending hunger, achieving food security and improved nutrition, and promoting sustainable agriculture (SDG 2); ensuring inclusive and equitable quality education and promoting life-long learning opportunities for all (SDG 4); promoting sustained, inclusive and sustainable economic growth (SDG 8); reducing inequality within and among countries (SDG 10); making cities and human settlements inclusive, safe, resilient and sustainable (SDG 11); promoting peaceful and inclusive societies (SDG 16); and, obviously, ensuring healthy lives and promoting well-being for all at all ages (SDG 3). In this article, we revise the reasons why investing in, and improving, mental health systems and services, constitutes a fundamental step towards achieving the overall SDGs, and we highlight the role that civil society, NGOs, and academic organizations need to play to ensure that these commitments are fulfilled.

Anti-stigma interventions in low-income and middle-income countries: a systematic review.

Background: Stigma exacerbates power imbalances and societal disparities, significantly impacting diverse identities and health conditions, particularly for low and middle-income countries (LMICs). Though crucial for dismantling harmful stereotypes, and enhancing healthcare utilisation, existing research on anti-stigma interventions is limited with its condition-focused approach. We aimed to thoroughly evaluate peer-reviewed and non-peer-reviewed literature for a comprehensive review of anti-stigma interventions for diverse identities and all health conditions in LMICs. Methods: This review systematically explored peer-reviewed and non-peer-reviewed literature, in ten electronic databases up to January 30, 2024, covering all anti-stigma interventions across various stigmatised identities and health conditions in LMICs. Quality assessment for this systematic review was conducted as per Cochrane Collaboration's suggested inclusions. The review was registered with PROSPERO (Registration: 2017 CRD42017064283). Findings: Systematic synthesis of the 192 included studies highlights regional imbalances, while providing valuable insights on robustness and reliability of anti-stigma research. Most studies used quasi-experimental design, and most centred on HIV/AIDS or mental health related stigma, with very little work on other issues. Certain high-population LMICs had no/little representation. Interpretation: The interventions targeted diverse segments of populations and consequently yielded a multitude of stigma-related outcomes. However, despite the heterogeneity of studies, most reported positive outcomes underscoring the effectiveness of existing interventions to reduce stigma. Funding: This study is supported by the UK Medical Research Council Indigo Partnership (MR/R023697/1) award.

Providing immediate digital mental health interventions and psychotrauma support during political crises.

We describe the development and provision of a digital mental health intervention and trauma support platform for victims of political and social repression in Belarus. The Samopomoch platform provides secure and effective support tailored to the needs of such victims, and individuals are provided with access to the service via a modern, encrypted, and protected communication platform. The service involves personal health tracking (e-mental health self-screening), targeted and untargeted client communication (psychoeducation and self-help information), and psychological counselling sessions. The Samopomoch platform is also collecting evidence to show the effectiveness of the service and proposes a model for replication in similar settings. To our knowledge, this is the first immediate digital mental health-care response to a political crisis, and the high needs and increasing demand for this service within the targeted population indicate the necessity for its continuation and scaling-up. We urge policy makers to provide immediate responses for establishing digital mental health interventions and psychological trauma support.

Social Reactions After Disclosing Suicide Loss Among Women.

Background: Suicide loss is often concealed. While initial evidence suggests that disclosure is important for healthy grieving, observed beneficial effects may depend on social reactions. Aim: The current study aimed to identify social reactions and associated consequences experienced by persons who lost a loved one to suicide (i.e., suicide loss survivors). Method: We conducted qualitative interviews with 22 female adult suicide loss survivors focusing on social reactions after suicide loss. Interviews were transcribed and analyzed using qualitative content analysis. Results: When talking about their loss with others, suicide loss survivors experienced a broad range of social reactions including compassionate and supportive responses, speechlessness and insecurity, curiosity and gossip, stigmatization, and grieving expectations. Depending on these social reactions, disclosing suicide loss was associated with both negative and positive long-term effects. Limitations: The findings are limited to the current female sample. Conclusion: Interventions that help suicide loss survivors in finding supportive confidants, combined with public interventions to decrease public suicide stigma and improve the public's readiness to provide helpful support to suicide loss survivors, could improve grieving outcomes among this group.

SMARThealth PRegnancy And Mental Health study: protocol for a situational analysis of perinatal mental health in women living in rural India.

Introduction: The situation for women experiencing mental health problems during pregnancy and postpartum in rural India is critical: a high burden of disease, a high estimated number of women are undiagnosed and untreated with mental health problems, a substantial gap in research on women's perinatal health, and severe stigma and discrimination. The SMARThealth Pregnancy study is a cluster randomised trial using a digital intervention to identify and manage anaemia, hypertension, and diabetes in the first year after birth in rural India. Within this study, the SMARThealth Pregnancy and Mental Health (PRAMH) study is a situational analysis to understand mental health problems during pregnancy and in the first year following birth in this population. Methods/design: This situational analysis aims to analyse and to assess the context of perinatal mental health, health services, barriers, facilitators, and gaps in Siddipet district of Telangana state in India, to develop an implementation framework for a future intervention. A tested, standardised situational analysis tool will be adapted and applied to perinatal mental health in rural India. A desktop and policy review will be conducted to identify and analyse relevant mental health and pregnancy care policies at the national and state levels. We will conduct in-depth interviews with policymakers, planners, mental health professionals and other experts in perinatal mental health (n = 10-15). We will also conduct focus group discussions with key stakeholders, including women with perinatal mental health problems, their families and carers, and community health workers (n = 24-40). A theory of change workshop with key stakeholders will be conducted which will also serve as a priority setting exercise, and will clarify challenges and opportunities, priorities, and objectives for a pilot intervention study. The analysis of qualitive data will be done using thematic analysis. Based on the data analysis and synthesis of the findings, an implementation framework will be developed to guide development, testing and scale up of a contextually relevant intervention for perinatal mental health. Discussion: The situational analysis will help to establish relationships with all relevant stakeholders, clarify the context and hypotheses for the pilot intervention and implementation.

A community-based intervention to improve screening, referral and follow-up of non-communicable diseases and anaemia amongst pregnant and postpartum women in rural India: study protocol for a cluster randomised trial.

BACKGROUND: Medical complications during pregnancy, including anaemia, gestational diabetes mellitus and hypertensive disorders of pregnancy place women are at higher risk of long-term complications. Scalable and low-cost strategies to integrate non-communicable disease screening into pregnancy care are needed. We aim to determine the effectiveness and implementation components of a community-based, digitally enabled approach, "SMARThealth Pregnancy," to improve health during pregnancy and the first year after birth. METHODS: A pragmatic, parallel-group, cluster randomised, type 2 hybrid effectiveness-implementation trial of a community-based, complex intervention in rural India to decrease anaemia (primary outcome, defined as haemoglobin < 12g/dL) and increase testing for haemoglobin, glucose and blood pressure (secondary outcomes) in the first year after birth. Primary Health Centres (PHCs) are the unit of randomisation. PHCs are eligible with (1) > 1 medical officer and > 2 community health workers; and (2) capability to administer intravenous iron sucrose. Thirty PHCs in Telangana and Haryana will be randomised 1:1 using a matched-pair design accounting for cluster size and distance from the regional centre. The intervention comprises (i) an education programme for community health workers and PHC doctors; (ii) the SMARThealth Pregnancy app for health workers to support community-based screening, referral and follow-up of high-risk cases; (iii) a dashboard for PHC doctors to monitor high-risk women in the community; (iv) supply chain monitoring for consumables and medications and (v) stakeholder engagement to co-develop implementation and sustainability pathways. The comparator is usual care with additional health worker education. Secondary outcomes include implementation outcomes assessed by the RE-AIM framework (reach, effectiveness, adoption, implementation, maintenance), clinical endpoints (anaemia, diabetes, hypertension), clinical service delivery indicators (quality of care score), mental health and lactation practice (PHQ9, GAD7, EuroQoL-5D, WHO IYCF questionnaire). DISCUSSION: Engaging women with screening after a high-risk pregnancy is a challenge and has been highlighted as a missed opportunity for the prevention of non-communicable diseases. The SMARThealth Pregnancy trial is powered for the primary outcome and will address gaps in the evidence around how pregnancy can be used as an opportunity to improve women's lifelong health. If successful, this approach could improve the health of women living in resource-limited settings around the world. TRIAL REGISTRATION: ClinicalTrials.gov NCT05752955. Date of registration 3 March 2023.