Community members and health workers recognized the value of spacing and limiting births but a variety of traditional and gender norms constrain their use of contraception. Limited method choice, persistent side effects, transportation fees, stock-outs, long wait times, and hidden service costs also inhibit contraceptive use.
Community health workers (CHWs) collect data for routine services, surveys and research in their communities. However, quality of these data is largely unknown. Utilizing poor quality data can result in inefficient resource use, misinformation about system gaps, and poor program management and effectiveness. This study aims to measure CHW data accuracy, defined as agreement between household registers compared to household member interview and client records in one district in Eastern province, Rwanda. We used cluster-lot quality assurance sampling to randomly sample six CHWs per cell and six households per CHW. We classified cells as having 'poor' or 'good' accuracy for household registers for five indicators, calculating point estimates of percent of households with accurate data by health center. We evaluated 204 CHW registers and 1,224 households for accuracy across 34 cells in southern Kayonza. Point estimates across health centers ranged from 79 to 100% for individual indicators and 61 to 72% for the composite indicator. Recording error appeared random for all but the widely under-reported number of women on modern family planning method. Overall, accuracy was largely 'good' across cells, with varying results by indicator. Program managers should identify optimum thresholds for 'good' data quality and interventions to reach them according to data use. Decreasing variability and improving quality will facilitate potential of these routinely-collected data to be more meaningful for community health program management. We encourage further studies assessing CHW data quality and the impact training, supervision and other strategies have on improving it.
Introduction
Community Health Workers (CHW) are a critical resource for outbreak preparedness and response. However, CHWs´ ability to respond to outbreaks depends on their accurate knowledge of the disease and proper adoption of disease prevention practices. We explored knowledge and practices related to outbreaks in general, and COVID-19 among CHWs in Rwanda.
Methods
this cross-sectional multimethod study used stratified simple random sampling to recruit three cadres of CHWs (agents de santé maternelle, female Binomes, and male Binomes) from three rural Rwandan districts. We used telephone-based data collection to administer quantitative surveys (N=292) and qualitative interviews (N=24) in September 2020. We calculated descriptive statistics and conducted thematic analysis of qualitative data. We assessed for associations between general outbreak-related knowledge and receipt of training using Chi-square tests and between COVID-19 related knowledge and CHW characteristics and adoption of prevention methods using linear regression models.
Results
only 56.2% of CHWs had received training on any health topic in 12 months prior to COVID-19 pandemic and only 19.2% had specifically received training on outbreak preparedness. Almost all CHWs reported preventing COVID-19 by wearing facemasks (98%), washing hands (95%), and social distancing in crowds (89%) with fewer reporting staying at home (50%), sneezing or coughing into an elbow (38%) or using hand sanitizer (18%). Almost all CHWs in our study knew that COVID-19 transmits through respiratory droplets (98%) and by infected surfaces (98%) and that asymptomatic spread is possible (91%). However, fewer than half of community health workers correctly affirmed that children were at low risk of becoming severely ill (48%) and only 32% correctly rejected the misconception that everyone with COVID-19 would become severely ill. There was no association between COVID-19-related knowledge and adoption of COVID-19 preventative practices. Qualitative findings suggested that while CHWs possessed lots of correct information about COVID-19 and reported good adherence to COVID-19 prevention practices, they also commonly held misconceptions that over-exaggerated the dangers of COVID-19.
Conclusion
gaps in knowledge, training, and access to information point to a need for additional investment in supervision and credible informational systems to support CHWs.
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