Quality of National Disease Surveillance Reporting before and during COVID-19: A Mixed-Method Study in Indonesia.

BACKGROUND: Global COVID-19 outbreaks in early 2020 have burdened health workers, among them surveillance workers who have the responsibility to undertake routine disease surveillance activities. The aim of this study was to describe the quality of the implementation of Indonesia's Early Warning and Response Alert System (EWARS) for disease surveillance and to measure the burden of disease surveillance reporting quality before and during the COVID-19 epidemic in Indonesia. METHODS: A mixed-method approach was used. A total of 38 informants from regional health offices participated in Focus Group Discussion (FGD) and In-Depth Interview (IDI) for informants from Ministry of Health. The FGD and IDI were conducted using online video communication. Yearly completeness and timeliness of reporting of 34 provinces were collected from the application. Qualitative data were analyzed thematically, and quantitative data were analyzed descriptively. RESULTS: Major implementation gaps were found in poorly distributed human resources and regional infrastructure inequity. National reporting from 2017-2019 showed an increasing trend of completeness (55%, 64%, and 75%, respectively) and timeliness (55%, 64%, and 75%, respectively). However, the quality of the reporting dropped to 53% and 34% in 2020 concomitant with the SARS-CoV2 epidemic. CONCLUSIONS: Report completeness and timeliness are likely related to regional infrastructure inequity and the COVID-19 epidemic. It is recommended to increase report capacities with an automatic EWARS application linked systems in hospitals and laboratories.

Suaahara in Nepal: An at-scale, multi-sectoral nutrition program influences knowledge and practices while enhancing equity.

The burden of undernutrition in South Asia is greater than anywhere else. Policies and programmatic efforts increasingly address health and non-health determinants of undernutrition. In Nepal, one large-scale integrated nutrition program, Suaahara, aimed to reduce undernutrition among women and children in the 1,000-day period, while simultaneously addressing inequities. In this study, we use household-level process evaluation data (N = 480) to assess levels of exposure to program inputs and levels of knowledge and practices related to health, nutrition, and water, sanitation, and hygiene (WASH). We also assess Suaahara's effect on the differences between disadvantaged (DAG) and non-disadvantaged households in exposure, knowledge, and practice indicators. All regression models were adjusted for potential confounders at the child-, maternal-, and household levels, as well as clustering. We found a higher prevalence of almost all exposure and knowledge indicators and some practice indicators in Suaahara areas versus comparison areas. A higher proportion of DAG households in Suaahara areas reported exposure, were knowledgeable, and practiced optimal behaviors related to nearly all maternal and child health, nutrition, and WASH indicators than DAG households in non-Suaahara areas and sometimes even than non-DAG households in Suaahara areas. Moreover, differences in some of these indicators between DAG and non-DAG households were significantly smaller in Suaahara areas than in comparison areas. These results indicate that large-scale integrated interventions can influence nutrition-related knowledge and practices, while simultaneously reducing inequities.