This report examines the impact of using Medicaid data to directly certify students for free and reduced-price school meals in the National School Lunch and School Breakfast Programs in 15 states in school year 2017-18. Certification, participation and reimbursement outcomes for Cohort 1 states in their second year of implementation and Cohort 2 states in their first year of implementation are discussed.
This report examines in-depth the accomplishments, challenges, and lessons learned from 20 states that received and completed Administrative Review and Training (ART) Grants by the end of FY 2017. ART Grants provide funding for diverse activities aimed at reducing administrative error, including training for administrative personnel and improving state-level technologies in the National School Lunch and School Breakfast Program.
The Administrative Review is the process state agencies use to assess compliance with federal requirements of SFAs participating in the National School Lunch Program and the School Breakfast Program. This study assesses the AR process by examining the results from a purposive sample of ARs. The study also describes in-depth how nine selected state agencies conduct their ARs, and ways the process could be further improved.
FNS provides state administrative expense (SAE) funds to state agencies to support administration and oversight of federal child nutrition programs in their state. This study examines the formula used for allocations of SAE funds, identifies factors that influence state agency spending, and presents a series of options for consideration to potentially improve SAE allocations and procedures.
This report responds to the requirement of PL 110-246 to assess the effectiveness of state and local efforts to directly certify children for free school meals. Direct certification is a process conducted by the states and by local educational agencies to certify eligible children for free meals without the need for household applications.
Statistical models were designed to estimate national improper payments due to certification error on an annual basis using district-level data. This enables FNS to update its estimates of national improper payment rates for the NSLP and SBP in future years without having to conduct full rounds of primary data collection.
The Special Nutrition Program Operations Study is a multiyear study designed to provide the Food and Nutrition Service with a snapshot of current state and school food authority policies and practices of the school meal programs, including information on school meal standards, competitive foods standards, professional standards, school lunch pricing and accounting, and Smarter Lunchrooms activities.
The information in this second year report (school year 2012-13), the first year new lunch standards were implemented, will provide data for observing the improvements resulting from the implementation of the Healthy, Hunger-Free Kids Act. Data was collected from a survey of all state child nutrition directors and a nationally representative sample of school food authorities.
This White Paper examines whether any additional means-tested programs might be feasible for use in the direct certification of school-age children participating in school meals or for verification of household income on meal applications.
The second Access, Participation, Eligibility and Certification Study (APEC II) included a follow-on report that provided statistically-derived state-level estimates of school meals erroneous payments. However, while APEC II provided a rough indicator of relative risk for groups of states (e.g., higher than average, about average, lower than average), it was not a state-representative direct measure, and creating actual annual measures of such erroneous payments at the state level using APEC methodology is cost-prohibitive. This report explores alternative approaches to developing measurement-based state-specific estimates that are responsive to year-to-year changes in the actual underlying rate in each state. It also provides cost and burden estimates for the implementation of each of these methods.