BackgroundCommunity health worker (CHW) programmes are a valuable component of primary care in resource-poor settings. The evidence supporting their effectiveness generally shows improvements in disease-specific outcomes relative to the absence of a CHW programme. In this study, we evaluated expanding an existing HIV and tuberculosis (TB) disease-specific CHW programme into a polyvalent, household-based model that subsequently included non-communicable diseases (NCDs), malnutrition and TB screening, as well as family planning and antenatal care (ANC).MethodsWe conducted a stepped-wedge cluster randomised controlled trial in Neno District, Malawi. Six clusters of approximately 20 000 residents were formed from the catchment areas of 11 healthcare facilities. The intervention roll-out was staggered every 3 months over 18 months, with CHWs receiving a 5-day foundational training for their new tasks and assigned 20–40 households for monthly (or more frequent) visits.FindingsThe intervention resulted in a decrease of approximately 20% in the rate of patients defaulting from chronic NCD care each month (−0.8 percentage points (pp) (95% credible interval: −2.5 to 0.5)) while maintaining the already low default rates for HIV patients (0.0 pp, 95% CI: −0.6 to 0.5). First trimester ANC attendance increased by approximately 30% (6.5pp (−0.3, 15.8)) and paediatric malnutrition case finding declined by 10% (−0.6 per 1000 (95% CI −2.5 to 0.8)). There were no changes in TB programme outcomes, potentially due to data challenges.InterpretationCHW programmes can be successfully expanded to more comprehensively address health needs in a population, although programmes should be carefully tailored to CHW and health system capacity.

Setting A community health worker (CHW) program was established in Neno District, Malawi, in 2007 by Partners In Health in support of Ministry of Health activities. Routinely generated CHW data provide critical information for program monitoring and evaluation. Informal assessments of the CHW reports indicated poor quality, limiting the usefulness of the data. Objectives 1) To establish the quality of aggregated measures contained in CHW reports; 2) to develop interventions to address poor data quality; and 3) to evaluate changes in data quality following the intervention. Design We developed a lot quality assurance sampling-based data quality assessment tool to identify sites with high or low reporting quality. Following the first assessment, we identified challenges and best practices and followed the interventions with two subsequent assessments. Results At baseline, four of five areas were classified as low data quality. After 8 months, all five areas had achieved high data quality, and the reports generated from our electronic database became consistent and plausible. Conclusion Program changes included improving the usability of the reporting forms, shifting aggregation responsibility to designated assistants and providing aggregation support tools. Local quality assessments and targeted interventions resulted in immediate improvements in data quality.

Background: By 2015, Malawi had not achieved Millennium Development Goal 4, reducing maternal mortality by about 35% from 675 to 439 deaths per 100,000 livebirths. Hypothesised reasons included low uptake of antenatal care (ANC), intrapartum care, and postnatal care. Involving community health workers (CHWs) in identification of pregnant women and linking them to perinatal services is a key strategy to reinforce uptake of perinatal care in Neno, Malawi. We evaluated changes in uptake after deployment of CHWs between March 2014 and June 2016. Methods: A CHW intervention was implemented in Neno District, Malawi in a designated catchment area of about 3100 women of childbearing age. The pre-intervention period was March 2014 to February 2015, and the postintervention period was March 2015 to June 2016. A 5-day maternal health training package was delivered to 211 paid and supervised CHWs. CHWs were deployed to identify pregnant women and escort them to perinatal care visits. A synthetic control method, in which a "counterfactual site" was created from six available control facilities in Neno District, was used to evaluate the intervention. Outcomes of interest included uptake of first-time ANC, ANC within the first trimester, four or more ANC visits, intrapartum care, and postnatal care follow-up. Results: Women enrolled in ANC increased by 18% (95% Credible Interval (CrI): 8, 29%) from an average of 83 to 98 per month, the proportion of pregnant women starting ANC in the first trimester increased by 200% (95% CrI: 162, 234%) from 10 to 29% per month, the proportion of women completing four or more ANC visits increased by 37% (95% CrI: 31, 43%) from 28 to 39%, and monthly utilisation of intrapartum care increased by 20% (95% CrI: 13, 28%) from 85 to 102 women per month. There was little evidence that the CHW intervention changed utilisation of postnatal care (− 37, 95% CrI: − 224, 170%). Conclusions: In a rural district in Malawi, uptake of ANC and intrapartum care increased considerably following an intervention using CHWs to identify pregnant women and link them to care.

Background Community health workers (CHWs) play a vital role in facilitating social connectedness, building trust, decrease stigma, and link communities to essential healthcare and social support services. More studies are needed to understand the factors facilitating these interactions among CHWs, clients, and community members. Objective This study examined the CHW role and relationships between CHWs, communities, and health facilities that promote trust, positive relationships, and social connectedness. Methods In 2016, the CHW program in Neno District, Malawi, was transitioned to a household-level assignment of CHWs to provide screening, linkage to care, and psychosocial and chronic disease support from a disease-based program. We employed an exploratory qualitative study with thematic analysis linked to Fredrickson’s broaden-and-build theory of positive emotions through focus group discussions (FGDs) and in-depth interviews (IDIs) to understand the impact of the household assignment. We purposively sampled community stakeholders, CHWs, health service providers, and clients (total N = 180) from October 2018 through March 2020. All interviews were audiotaped, transcribed verbatim, translated, coded, and analyzed. Results Participants reported decreased stigma and discrimination with increased trust and confidence in CHWs with household-level assignment. Positive relationships between CHWs in their households, community members, and health facility staff fostered health knowledge, individual agency, and personal resources for the community members to access health services. Community members’ personal resources of increased health knowledge, trust, gratitude, and social support improved social connectedness and subjective wellbeing. Areas to improve positive relationships include CHWs maintaining confidentiality and caring for pregnant women. Conclusion Our study findings demonstrate that by building solid relationships as a community chosen, well informed, and household-level workforce, CHWs can develop positive relationships with communities and the health-care facility staff through building knowledge, trust, gratitude, and hope. Further work is needed in maintaining CHW confidentiality and new ways to approach culturally sensitive health areas.

Background:Community Health Workers (CHWs) provide basic health screening and advice to members of their own communities. Although CHWs are trained, no CHW programmes have used a formal method to identify the level of achievement on post-training assessments that distinguishes “safe” from “unsafe”.Objectives:The aim of this study was to use Ebel method of standard setting for a post-training written knowledge assessment for CHWs in Neno, Malawi.Methods:12 participants agreed the definitions of a “just-deployment ready” and an “ideal” CHW. Participants rated the importance and difficulty of each question on a three-point scale and also indicated the proportion of “just-deployment ready” CHWs expected to answer each of the nine question types correctly. Mean scores were used to determine the passing standard, which was reduced by one standard error of measurement (SEM) as this was the first time any passing standard had been employed.The level of agreement across participants’ ratings of importance and difficulty was calculated using Krippendorf’s alpha. The assessment results from the first cohort of CHW trainees were analysed using classical test theory.Findings:There was poor agreement between participants on item ratings of both importance and difficulty (Krippendorf’s alphas of 0.064 and 0.074 respectively). The pass mark applied to the assessment, following adjustment using the SEM, was 53.3%. Based on this pass mark, 68% of 129 CHW trainees were ‘clear passes’, 11% ‘borderline passes’, 9% ‘borderline fails’ and 12% ‘clear fails’.Conclusions:Determining whether a CHW is deployment-ready is an important, but difficult exercise, as evidenced by a lack of agreement regarding question importance and difficulty. Future exercises should allow more time for training, discussion and modification of ratings. Based on the assessment, most CHWs trained could be considered deployment-ready, but following-up their performance in the field will be vital to validate the pass mark set.