We integrated clinical vignettes into routine programmatic supervision to assess community health worker knowledge of integrated community case management in rural Liberia. Results included higher rates of correct diagnosis and lifesaving treatment for uncomplicated disease than for more severe cases, with accurate recognition of danger signs posing a challenge.

Liberia launched its National Community Health Assistant Program in 2016, which seeks to ensure that all people living 5 kilometers or farther from a health facility have access to trained, supplied, supervised, and paid community health workers (CHWs). This study aims to evaluate the impact of the national program following implementation in Grand Bassa County in 2018 using data from population-based surveys that included information on 1291 illness episodes. We measured before-to-after changes in care for childhood illness by qualified providers in a portion of the county that implemented in a first phase compared to those which had not yet implemented. We also assessed changes in whether children received oral rehydration therapy for diarrhea and malaria rapid diagnostic tests if they had a fever by a qualified provider (facility based or CHW). For these analyses, we used a difference-in-differences approach and adjusted for potential confounding using inverse probability of treatment weighting. We also assessed changes in the source from which care was received and examined changes by key dimensions of equity (distance from health facilities, maternal education, and household wealth). We found that care of childhood illness by a qualified provider increased by 60.3 percentage points (95%CI 44.7–76.0) more in intervention than comparison areas. Difference-in-differences for oral rehydration therapy and malaria rapid diagnostic tests were 37.6 (95%CI 19.5–55.8) and 38.5 (95%CI 19.9–57.0) percentage points, respectively. In intervention areas, care by a CHW increased from 0 to 81.6% and care from unqualified providers dropped. Increases in care by a qualified provider did not vary significantly by household wealth, remoteness, or maternal education. This evaluation found evidence that the Liberian National Community Health Assistant Program has increased access to effective care in rural Grand Bassa County. Improvements were approximately equal across three measured dimensions of marginalization.

Introduction Between 2018 and 2022 the Liberian Government implemented the National Community Health Assistant (NCHA) program to improve provision of maternal and child health care to underserved rural areas of the country. Whereas the contributions of this and similar community health worker (CHW) based healthcare programs have been associated with improved process measures, the impact of a governmental CHW program at scale on child mortality has not been fully established. Methods/Design We will conduct a cluster sampled, community-based survey with landmark event calendars to retrospectively assess child births and deaths among all children born to women in the Grand Bassa District of Liberia. We will use a mixed effects discrete survival model, taking advantage of the staggered program implementation in Grand Bassa districts over a period of 4 years to compare rates of under-5 child mortality between the pre- and post-NCHA program implementation periods. Discussion This study will be the first to estimate the impact of the Liberian NCHA program on under-5 mortality.

Background Despite the availability of COVID-19 vaccines, vaccination uptake remains low in Liberia. Social norms, and in particular an individual’s family preferences can have a strong normative influence on health behavior. However, few studies across the globe have explored how behavioral intent about COVID-19 vaccination among household members affects individual vaccination acceptance, particularly in rural, resource-limited settings. We respond to this gap in knowledge by analyzing data from a household survey of women in rural Liberia with the goal of understanding how household COVID-19 beliefs and vaccine behavioral intent correlated with those of individual household members. Methods Data was analyzed from a household survey of 2,620 women aged 15-49 in 2,201 households in rural Grand Bassa County, Liberia, from March to April 2021. The survey included a COVID-19 module on protective health behaviors and intention to accept a COVID-19 vaccine when available. Each household was defined as being concordantly vaccine-hesitant, concordantly vaccine-accepting, or discordant. A multivariable logistic regression model was fitted to identify correlates of concordant acceptance, adjusting for potential confounders. Results The survey found that only approximately one in three households in rural Liberia were fully COVID-19 vaccine accepting. About 42% of households had discordant views on the vaccine, while 33% had concordantly accepting views, and 25% had concordantly hesitant views. The demographic characteristics of households with different vaccine beliefs were similar. Having a household member who accepted the COVID-19 vaccine was associated with an 18.1 percentage point greater likelihood of an individual accepting the vaccine (95% confidence interval, CI=7.3-28.9%, P=0.001). Conclusions Social norms around vaccine acceptance within households are strongly associated with individual acceptance. Interventions that target hesitant households and individuals could have a significant impact on vaccine acceptance rates.

Background As many low- and middle-income countries scale up community health worker (CHW) programs to achieve universal health coverage, ensuring quality as well as access is critical. Health system responsiveness (HSR) is a core domain of quality patient-centred care, but has not been widely measured in CHW-delivered care. We report results from a household survey measuring HSR and health systems quality of CHW-delivered care in two Liberian counties where the national CHW program of Community Health Assistants (CHAs) for communities five kilometres or more from a health center has been implemented. Methods We conducted a cross-sectional population-based household survey in 2019 in Rivercess (RC) and Grand Gedeh (GG) counties, using a two-stage cross-sectional cluster sampling approach. We included validated HSR questions on six responsiveness domains and patient-reported health system outcomes, such as satisfaction and trust in the CHA’s skills and abilities. The HSR questions were administered to women aged 18-49 who reported seeking care from a CHA in the three months prior to the survey. A composite responsiveness score was calculated and divided into tertiles. Multivariable analysis using Poisson regression with log link and adjusting for respondent characteristics was used to determine the association between responsiveness and patient-reported health system outcomes. Results The proportion of individuals rating responsiveness as very good or excellent were similar across all domains within a district, with ratings were lower in RC (23-29%) than GG (52-59%). High ratings in both counties were seen for high trust in the CHA’s skills and abilities (GG 84%, RC 75) and high confidence in CHA (GG 58%, RC 60%). Compared with women in the lowest responsiveness tertile (score ≤3), women in the highest tertile (score 4.25) were significantly more likely to report high quality of CHA-delivered care (prevalence ratio, PR=14.1), very good/excellent at meeting health needs (PR=8.0), high confidence in the CHA to provide future care (PR=2.4), and high level of trust in CHA’s skills and abilities (PR=1.4). Controlling for respondent characteristics, the composite responsiveness score was significantly associated with all patient-reported health system outcomes (P<0.001). Conclusion We found that HSR was associated with important patient-reported health system quality outcomes, including satisfaction, trust, and confidence in the CHA. Measuring patients’ experience and outcomes of care is important to complement more common measures of technical quality for CHW-delivered care to ensure that this domain of quality is central to community health program design and delivery.