Using DHS and MICS data to complement or replace NGO baseline health data: an exploratory study

摘要: Background: Non-government organizations (NGOs) spend substantial time and resources collecting baseline data in order to plan implement health interventions with marginalized populations. Typically interviews households, often mothers, take over an hour, placing a burden on the respondents. Meanwhile, estimates of numerous social indicators many countries already exist publicly available datasets, such as Demographic Health Surveys (DHS) Multiple Indicator Cluster (MICS), it is worth considering whether these could serve conditions. The objective this study was compare indicator from non-governmental (NGO) projects’ reports calculated using or matching for location, year, season collection. Methods: We extracted 129 46 NGO reports, 25 DHS datasets three MICS generating 1,996 pairs matched DHS/MICS indicators. subtracted yield difference absolute difference, exploring differences by indicator. partitioned variance geographical level, ANOVA. Results: Differences between were large but 33% fell within 5% one another. smaller prevalence 85%. Difference increased increasing year level differences. However, <1% explained season. Conclusions: There are situations where complement survey data, most importantly when has tolerance low unknown accuracy.