Coaching Community Health Volunteers in Integrated Community Case Management Improves the Care of Sick Children Under-5: Experience from Bondo, Kenya

Background: Shortages of healthcare workers is detrimental to the health of communities, especially children. This paper describes the process of capacity building Community Health Volunteers (CHVs) to deliver integrated preventive and curative package of care of services to manage common childhood illness in hard-to-reach communities in Bondo Subcounty, Kenya. Methods: A pre-test/post-test single-group design was used to assess changes in knowledge and skills related to integrated community case management (iCCM) among 58 Community Health Volunteers who received a six-day iCCM clinical training and an additional 3-week clinical coaching at health facilities. Thereafter, community health extension workers and health managers provided supportive supervision over a six-month period. Skills were assessed before the six-day training, during coaching, and after six months of iCCM implementation. Results: CHVs knowledge assessment scores improved from 54.5% to 72.9% after the six-day training (p < 0.001). All 58 CHVs could assess and classify fever and diarrhoea correctly after 3–6 weeks of facility-based clinical coaching; 97% could correctly identify malnutrition and 80%, suspected pneumonia. The majority correctly performed four of the six steps in malaria rapid diagnostic testing. However, only 58% could draw blood correctly and 67% dispose of waste correctly after the testing. The proportion of CHV exhibiting appropriate skills to examine for signs of illness improved from 4% at baseline to 74% after 6 months of iCCM implementation, p < 0.05. The proportion of caregivers in intervention community units who first sought treatment from a CHV increased from 2 to 31 percent (p < 0.001). Conclusions: Training and clinical coaching built CHV’s skills to manage common childhood illnesses. The CHVs demonstrated ability to follow the Kenya iCCM algorithm for decision-making on whether to treat or refer a sick child. The communities’ confidence in CHVs’ ability to deliver integrated case management resulted in modification of care-seeking behaviour

Exploring system drivers of gender inequity in development assistance for health and opportunities for action [version 2; peer review: 1 approved, 2 approved with reservations]

Background: Deep-rooted and widespread gender-based bias and discrimination threaten achievement of the Sustainable Development Goals. Despite evidence that addressing gender inequities contributes to better health and development outcomes, the resources for, and effectiveness of, such efforts in development assistance for health (DAH) have been insufficient. This paper explores systemic challenges in DAH that perpetuate or contribute to gender inequities, with a particular focus on the role of external donors and funders. Methods: We applied a co-creation system design process to map and analyze interactions between donors and recipient countries, and articulate drivers of gender inequities within the landscape of DAH. We conducted qualitative primary data collection and analysis in 2021 via virtual facilitated discussions and visual mapping exercises among a diverse set of 41 stakeholders, including representatives from donor institutions, country governments, academia, and civil society. Results: Six systemic challenges emerged as perpetuating or contributing to gender inequities in DAH: 1) insufficient input and leadership from groups affected by gender bias and discrimination; 2) decision-maker blind spots inhibit capacity to address gender inequities; 3) imbalanced power dynamics contribute to insufficient resources and attention to gender priorities; 4) donor funding structures limit efforts to effectively address gender inequities; 5) fragmented programming impedes coordinated attention to the root causes of gender inequities; and 6) data bias contributes to insufficient understanding of and attention to gender inequities. Conclusions: Many of the drivers impeding progress on gender equity in DAH are embedded in power dynamics that distance and disempower people affected by gender inequities. Overcoming these dynamics will require more than technical solutions. Groups affected by gender inequities must be centered in leadership and decision-making at micro and macro levels, with practices and structures that enable co-creation and mutual accountability in the design, implementation, and evaluation of health programs

Monitoring iCCM: a feasibility study of the indicator guide for monitoring and evaluating integrated community case management

Abstract Most countries in sub-Saharan Africa have now adopted integrated community case management (iCCM) of common childhood illnesses as a strategy to improve child health. In March 2014, the iCCM Task Force published an Indicator Guide for Monitoring and Evaluating iCCM: a 'menu' of recommended indicators with globally agreed definitions and methodology, to guide countries in developing robust iCCM monitoring systems. The Indicator Guide was conceived as an evolving document that would incorporate collective experience and learning as iCCM programmes themselves evolve. This article presents findings from two studies that examined the feasibility of collecting the Indicator Guide's 18 routine monitoring indicators with the iCCM monitoring systems that countries currently have in place. We reviewed iCCM monitoring tools, protocols and reports from a purposive sample of 10 countries in sub-Saharan Africa. We developed a scorecard system to assess which of the Indicator Guide's 18 routine monitoring indicators could be calculated with the given monitoring tools, and at which level of the health system the relevant information would be available. We found that the data needed to calculate many of the Indicator Guide's routine monitoring indicators are already being collected through existing monitoring systems, although much of these data are only available at health facility level and not aggregated to district or national levels. Our results highlight challenge of using supervision checklists as a data source, and the need for countries to maintain accurate deployment data for CHWs and CHW supervisors. We suggest that some of the recommended indicators need revising. Routine monitoring will be more feasible, effective and efficient if iCCM programmes focus on a smaller set of high-value indicators that are easy to measure, reliably interpreted and useful both for global and national stakeholders and for frontline health workers themselves