This data collection fulfills states’ reporting requirements and describes trends in program participation during the COVID-19 pandemic from July 2020 through Dec. 2021. It is part of an ongoing study series examining CN program operations, repurposed to collect waiver reports from all states. A previous report in the series detailed waiver usage and trends in program participation and operations from March through Sept. 2020.

The USDA Food and Nutrition Service conducts a variety of studies, evaluations, and related activities that respond to the needs of policymakers and managers and help ensure that nutrition assistance programs achieve their goals effectively. This plan provides short descriptions of projects that are expected to launch in fiscal year (FY) 2025. 

It reflects decisions by FNS program and research staff and leadership on the best use of available research funding to meet current information needs that are aligned with agency priorities to improve program efficiency, integrity, and nutrition. FNS developed this plan in consultation with the agencies of the Research, Education, and Economics (REE) Mission Area. 

The Child Nutrition Program Operations Study II (CN-OPS II) is a multiyear study that provides FNS with information on current state agency and school food authority policies, practices, and needs related to school nutrition service operations, financial management, meal counting, training and professional standards, food service equipment, and technology. 

The Study of Food Safety Needs of Adult Day Care Centers in the Child and Adult Care Food Program report identified and evaluated food safety knowledge gaps and education needs of adult day care center program operators. Overall, this study provides information on knowledge gaps related to food safety practices in adult day care centers and illuminates the best way for center staff to receive future food safety training and information support.

FNS conducted a study of the first two years of this demonstration to describe the implementation process and explore the effects on certification, participation, federal reimbursements, and state administrative costs. This report presents the findings from the first year of the demonstration evaluation, school year 2016–17.

The Evaluation of the School Meal Data Collection Process study describes and evaluates the methodologies and processes used by schools, school food authorities and state agencies to collect and report data on three FNS forms used for the federal school meal programs: the Report of School Program Operations (FNS-10), the SFA Verification Collection Report (FNS-742), and the State Agency Direct Certification Rate Data Element Report (FNS-834). In addition to describing the processes, the study identifies potential sources of error when completing the three forms and provides useful practices and recommendations for improving data collection processes.

The Child Nutrition Reporting Burden Analysis Study was commissioned by FNS in response to a legislative requirement of House Report 114-531. The study examined challenges faced by SAs and SFAs related to child nutrition program administrative and reporting requirements and identifying those that contribute most to the workload for SAs and SFAs that operate CN programs.

This study was designed to provide information on (1) the market availability of foods that meet the sodium standards for school meal programs set by regulation in 2012, (2) the strategies most often used by schools that have met the sodium targets, and (3) the technical assistance needs of schools and districts working to develop lower sodium menus.

This report describes the feasibility of a modeling approach to forecast tiering error rates based on prior data, in lieu of annual assessments of misclassified FDCHs. It presents estimates for forecasted rates and associated improper payments for FDCHs for each fiscal year (FY) from 2016 to 2020. Due to data limitations, the report concludes that building a reliable model is not possible with the currently available data and estimates produced by the models cannot be used for IPERIA reporting.