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Abstract Background Multidrug-resistant tuberculosis (MDR/RR-TB) is a major global health challenge, disproportionately affecting low- and lower-middle-income countries (LLMICs). The World Health Organization (WHO) generates guidance to address the problem. Here, we explore the extent to which guidance and related knowledge are generated by experts living in the most-affected countries and consider the results in the context of the movement to decolonize global health. Methods We examined the composition of World Health Organization (WHO) MDR/RR-TB treatment Guideline Development Groups (GDGs) from 2016 to 2022. We classified GDG members according to the MDR/RR-TB burden and World Bank income level of the country of their institutional affiliation. We also searched PubMed to identify peer-reviewed publications from 2016 to 2023 which emanated from individual-patient-data meta-analysis like those done for Guideline review, and classified the publication authors according to the same indicators. Results There were 33 high-burden MDR/RR-TB countries during the time period. Of these, 72.1% were LLMICs and none was high-income. In contrast, only 30.3% of WHO GDG members and 10.4% of peer-reviewed publication authors were from LLMICs. Representatives from high-MDR/RR-TB-burden countries comprised 34.3% of WHO GDG members and 14.7% of authors of guideline-related publications. Conclusions The important imbalance between the geographical distribution of lived experience with MDR/RR-TB and the distribution of individuals generating knowledge and guidance on treatment of MDR/RR-TB can have clinical and resource implications. Countries may reject or defer guideline adoption because of a mismatch between that guidance and local disease epidemiology. Funding conditioned on compliance with guidelines can exacerbate health inequalities. The movement to decolonize global health considers representation disparities as epistemic injustice, that is unfair treatment in the process of generating, sharing, or receiving knowledge. Reform is possible in many of the institutions involved in generation of global health knowledge, such as: meaningful participation of LLMICs in projects as a requirement for research funding, improved attention to the epistemic and geographical location of journal editorial staff, and broader inclusion in guidelines committees. Better alignment of participation in knowledge generation with burden of disease holds potential for reducing inequality and improving relevance of guidance for the lived experience with MDR/RR-TB.

Abstract Background Since climate change, pandemics and population mobility are challenging healthcare systems, an empirical and integrative research to studying and help improving the health systems resilience is needed. We present an interdisciplinary and mixed-methods research protocol, ClimHB, focusing on vulnerable localities in Bangladesh and Haiti, two countries highly sensitive to global changes. We develop a protocol studying the resilience of the healthcare system at multiple levels in the context of climate change and variability, population mobility and the Covid-19 pandemic, both from an institutional and community perspective. Methods The conceptual framework designed is based on a combination of Levesque’s Health Access Framework and the Foreign, Commonwealth and Development Office’s Resilience Framework to address both outputs and the processes of resilience of healthcare systems. It uses a mixed-method sequential exploratory research design combining multi-sites and longitudinal approaches. Forty clusters spread over four sites will be studied to understand the importance of context, involving more than 40 healthcare service providers and 2000 households to be surveyed. We will collect primary data through questionnaires, in-depth and semi-structured interviews, focus groups and participatory filming. We will also use secondary data on environmental events sensitive to climate change and potential health risks, healthcare providers’ functioning and organisation. Statistical analyses will include event-history analyses, development of composite indices, multilevel modelling and spatial analyses. Discussion This research will generate inter-disciplinary evidence and thus, through knowledge transfer activities, contribute to research on low and middle-income countries (LMIC) health systems and global changes and will better inform decision-makers and populations.

Amidst the COVID-19 pandemic and national responses, trust (one’s belief that a system acts in one’s best interest) is important to consider. In community health systems, trust is embedded in relationships between clients, CHWs, and health system stakeholders. This mixed-methods study explores trust through the evolving COVID-19 crisis in Bangladesh, Haiti, and Kenya, where multi-country community health research was underway. We investigate the extent and ways trust between communities, community health workers (CHWs), and health system actors shift, including its relation to community fear and hostility, through self-reported positive and negative experiences of CHWs and policy/program stakeholders on a phone-based survey with 2,025 CHWs and 72 key informant interviews, including CHWs, in late 2020. On surveys, CHWs reported high levels of community trust (8/10 in Bangladesh and Kenya; 6/10 in Haiti) with over 60% reporting client relief in seeing their CHWs. About one-third of CHWs across countries reported experiencing instances of hostility from community members during the pandemic in the form of refused home-entry, ignored advice, or being shouted at. Multivariate analyses revealed that CHWs reporting more positive and fewer negative experiences is consistently associated with continuing routine work, doing COVID-19-related work, and greater community trust. Qualitative interviews showed that existing pre-pandemic trusting relationships withstood the early phase of COVID-19, mitigating negative community reactions toward CHWs and stigma towards COVID-positive individuals, maintaining routine health services, and sustaining appreciation for CHW-provided prevention information and emotional support. CHW-community and CHW-health system actor trust is strengthened when CHWs are well-resourced; CHW-community trust is strained by public frustration at the pandemic, associated restrictions, and sociopolitical stressors. Our study suggests that with adequate institutional support, bonds of trust can promote resilient community health systems during extended public health crises, through CHWs’ commitment to mitigating misinformation, reducing stigma, maintaining routine service provision, and promoting COVID-19 prevention.

Abstract Background With the 40th anniversary of the Declaration of Alma-Ata, a global effort is underway to re-focus on strengthening primary health care systems, with emphasis on leveraging community health workers (CHWs) towards the goal of achieving universal health coverage for all. Institutionalizing effective, sustainable community health systems is currently limited by a lack of standard metrics for measuring CHW performance and the systems they work within. Developed through iterative consultations, supported by the Bill & Melinda Gates Foundation and in partnership with USAID and UNICEF, this paper details a framework, list of indicators, and measurement considerations for monitoring CHW performance in low- and middle-income countries. Methods A review of peer-reviewed articles, reports, and global data collection tools was conducted to identify key measurement domains in monitoring CHW performance. Three consultations were successively convened with global stakeholders, community health implementers, advocates, measurement experts, and Ministry of Health representatives using a modified Delphi approach to build consensus on priority indicators. During this process, a structured, web-based survey was administered to identify the importance and value of specific measurement domains, sub-domains, and indicators determined through the literature reviews and initial stakeholder consultations. Indicators with more than 75% support from participants were further refined with expert qualitative input. Results Twenty-one sub-domains for measurement were identified including measurement of incentives for CHWs, supervision and performance appraisal, data use, data reporting, service delivery, quality of services, CHW absenteeism and attrition, community use of services, experience of services, referral/counter-referral, credibility/trust, and programmatic costs. Forty-six indicators were agreed upon to measure the sub-domains. In the absence of complete population enumeration and digitized health information systems, the quality of metrics to monitor CHW programs is limited. Conclusions Better data collection approaches at the community level are needed to strengthen management of CHW programs and community health systems. The proposed list of metrics balances exhaustive and pragmatic measurement of CHW performance within primary healthcare systems. Adoption of the proposed framework and associated indicators by CHW program implementors may improve programmatic effectiveness, strengthen their accountability to national community health systems, drive programmatic quality improvement, and plausibly improve the impact of these programs.

# Background Emerging data, media reports, and anecdotal evidence suggest that domestic violence (DV) has increased during the COVID-19 pandemic. However, more detailed data are needed on the magnitude, forms, and causes of DV during COVID-19 in different contexts worldwide. We sought to contribute such evidence from the perspective of community health workers (CHWs) in low-middle income countries in three different regions of the world. # Methods We conducted phone surveys with female and male CHWs from September-December 2020 in Kenya (n=1,385), Bangladesh (n=370), and Haiti (n=261). Descriptive and selected bivariate analyses were performed. # Results In total, 56%, 32% and 12% perceived increased DV in their communities during COVID-19 in Kenya, Bangladesh and Haiti, respectively. This included violence against both intimate partners and children. Key reasons reported for DV increases were increased stress/tension due to loss of employment/income (\>80%) and children being home/misbehaving (\>50%). In Kenya CHWs also cited partners spending more time together (59%), increased alcohol/substance use (38%), and conflict over childcare/housework responsibilities (33%). In bivariate analyses, in Kenya and Bangladesh, reporting a greater number of reasons for increased DV was associated with reporting co-occurring violence against both intimate partners and children (vs. just partners; *P*\

Introduction There is a renewed global interest in improving community health worker (CHW) programmes. For CHW programmes to be effective, key intervention design factors which contribute to the performance of CHWs need to be identified. The recent WHO guidelines recommends the combination of financial and non-financial incentives to improve CHW performance. However, evidence gaps remain as to what package of incentives will improve their performance in different country contexts. This study aims to evaluate CHW incentive preferences to improve performance and retention which will strengthen CHW programmes and help governments leverage limited resources appropriately.Methods and analysis A discrete choice experiment (DCE) will be conducted with CHWs in Bangladesh, Haiti, Kenya and Uganda with different levels of maturity of CHWs programmes. This will be carried out in two phases. Phase 1 will involve preliminary qualitative research including focus group discussions (FGDs) and key informant interviews to develop the DCE design which will include attributes relevant to the CHW country settings. Phase 2 will involve a DCE survey with CHWs, presenting them with a series of job choices with varying attribute levels. An orthogonal design will be used to generate the choice sets for the surveys. The surveys will be administered in locally-appropriate languages to at least 150 CHWs from each of the cadres in each country. Conditional and mixed multinomial logit (MMNL) models will be used for the estimation of stated preferences.Ethics and dissemination This study has been reviewed and approved by the Population Council’s Institutional Review Board in New York, and appropriate ethics review boards in Kenya, Uganda, Bangladesh and Haiti. The results of the study will be disseminated through in-country dissemination workshops, meetings with country-level stakeholders and policy working groups, print media, online blogs and peer-reviewed journals.