The goal of this study was to pilot creating a WIC participant characteristics (PC) longitudinal data set with one WIC state agency. Eight state agencies with varying management information systems (MIS) platforms and high quality WIC PC 2020 data completed a survey about their MIS and longitudinal data provision capabilities. The survey assessed these state agencies’ MIS capabilities, as measured in six areas, to provide a longitudinal data set. This report describes the process of working with one WIC state agency to create a pilot WIC PC longitudinal data set of infant and child participants and the challenges and successes of this effort.
The Payment Integrity Information Act of 2019 requires federal agencies, like FNS, to give Congress information about payment errors for federal programs, like CACFP. FNS planned this study to estimate payment errors in CACFP child care centers. However, after completing the study, FNS found an error in the method used to estimate nationwide findings from the study data. Because of the error, FNS is not publishing the full study, and will instead present key findings that relate to broad trends instead of specific estimates.
We explored the feasibility of using existing data from state monitoring reviews – a process designed to assess operations and provide real-time technical assistance to family day care homes operating CACFP – to estimate the rate of improper payments in those operations. This study found that flexibility in these reviews and the information they report across states, while beneficial for their main purpose, made the resulting data unusable for estimating a national improper payment rate.