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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.

La resistencia a antibióticos es un problema mundial importante. El objetivo de este estudio fue determinar la resistencia a los antibióticos en cepas comensales aisladas de niños sanos de comunidades rurales de Moyobamba y Urubamba en Perú. Este estudio de cohorte identificó 179 cepas de Escherichia coli comensales provenientes de 93 niños, seguidos durante seis meses. Trece antibióticos fueron analizados mediante disco difusión. Los mayores índices de resistencia fueron para cotrimoxazol (49,1%), ampicilina (48,0%) y ácido nalidíxico (31,8%). Se encontró un aumento en la resistencia del 11,6% para el ácido nalidíxico y del 6,4% para el cotrimoxazol en este periodo. El 34,0% de los aislados fueron multidrogoresistentes. Este estudio respalda hallazgos previos de resistencia a múltiples fármacos en cepas comensales en comunidades rurales, y destaca el aumento en las tasas de resistencia en el tiempo. Recomendamos estudios en poblaciones más grandes, con un seguimiento más prolongado.

The emerging field of outbreak analytics calls attention to the need for data from multiple sources to inform evidence-based decision making in managing infectious diseases outbreaks. To date, these approaches have not systematically integrated evidence from social and behavioural sciences. During the 2018–2020 Ebola outbreak in Eastern Democratic Republic of the Congo, an innovative solution to systematic and timely generation of integrated and actionable social science evidence emerged in the form of the Cellulle d’Analyse en Sciences Sociales (Social Sciences Analytics Cell) (CASS), a social science analytical cell. CASS worked closely with data scientists and epidemiologists operating under the Epidemiological Cell to produce integrated outbreak analytics (IOA), where quantitative epidemiological analyses were complemented by behavioural field studies and social science analyses to help better explain and understand drivers and barriers to outbreak dynamics. The primary activity of the CASS was to conduct operational social science analyses that were useful to decision makers. This included ensuring that research questions were relevant, driven by epidemiological data from the field, that research could be conducted rapidly (ie, often within days), that findings were regularly and systematically presented to partners and that recommendations were co-developed with response actors. The implementation of the recommendations based on CASS analytics was also monitored over time, to measure their impact on response operations. This practice paper presents the CASS logic model, developed through a field-based externally led consultation, and documents key factors contributing to the usefulness and adaption of CASS and IOA to guide replication for future outbreaks.

The journey to universal health coverage (UHC) is full of challenges, which to a great extent are specific to each country. ‘Learning for UHC’ is a central component of countries’ health system strengthening agendas. Our group has been engaged for a decade in facilitating collective learning for UHC through a range of modalities at global, regional and national levels. We present some of our experience and draw lessons for countries and international actors interested in strengthening national systemic learning capacities for UHC. The main lesson is that with appropriate collective intelligence processes, digital tools and facilitation capacities, countries and international agencies can mobilise the many actors with knowledge relevant to the design, implementation and evaluation of UHC policies. However, really building learning health systems will take more time and commitment. Each country will have to invest substantively in developing its specific learning systemic capacities, with an active programme of work addressing supportive leadership, organisational culture and knowledge management processes.

Summary: Optimising community health worker (CHW) programmes requires evidence-based policies on their education, deployment, and management. This guideline aims to inform efforts by planners, policy makers, and managers to improve CHW programmes as part of an integrated approach to strengthen primary health care and health systems. The development of this guideline followed the standard WHO approach to developing global guidelines. We conducted one overview of reviews, 15 systematic reviews (each one on a specific policy question), and a survey of stakeholders' views on the acceptability and feasibility of the interventions under consideration. We assessed the quality of systematic reviews using the AMSTAR tool, and the certainty of the evidence using the GRADE methodology. The overview of reviews identified 122 eligible articles and the systematic reviews identified 137 eligible primary studies. The stakeholder perception survey obtained inputs from 96 respondents. Recommendations were developed in the areas of CHW selection, preservice education, certification, supervision, remuneration and career advancement, planning, community embeddedness, and health system support. These are the first evidence-based global guidelines for health policy and system support to optimise community health worker programmes. Key considerations for implementation include the need to define the role of CHWs in relation to other health workers and plan for the health workforce as a whole rather than by specific occupational groups; appropriately integrate CHW programmes into the general health system and existing community systems; and ensure internal coherence and consistency across different policies and programmes affecting CHWs.

Objective: To assess the long-term effects of cyclic infusion of iloprost, a derivative of prostacyclin, on Raynaud’s phenomenon- related symptoms and ischemic ulcers in patients with Systemic Sclerosis (SSc). Methods: A retrospective analysis of prospectively collected parameters in 59 consecutive SSc patients, followed at one institution, who were treated for a median time of 52 months with iloprost for severe Raynaud’s phenomenon and ischemic ulcers. Results: Among the 50 patients with ischemic ulcers at the start of therapy, 35 (70%) did not show lesions at the last observation. Despite therapy, four patients underwent amputations (two of forefoot, two of finger distal phalanges). Compared to the pre-treatment point, we observed: decrease of the Raynaud’s phenomenon VAS (p

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