OBJECTIVE The 2018–2019 federal government partial shutdown resulted in a one-time disruption to the usual disbursement schedule of Supplemental Nutrition Assistance Program (SNAP) benefits nationwide. We assessed the relationship between this disruption and hyperglycemia and hypoglycemia medical encounters among beneficiaries with diabetes. RESEARCH DESIGN AND METHODS To estimate whether the one-time change in benefit disbursement affected the monthly cycle of hyperglycemia or hypoglycemia encounter rates, we used linked administrative Medicaid claims and SNAP disbursement data from West Virginia in a fixed-effects model with interactions between week of the month and the two months of interest—January and February 2019. We controlled for week, month, year, and county effects as well as individual characteristics, and we clustered SEs by individual. RESULTS We found that the early disbursement of SNAP benefits in January 2019 resulted in a spike in hyperglycemia four times the rate in a typical month. Further, we found a decrease in both hyperglycemia and hypoglycemia in late February. CONCLUSIONS Our findings suggest that the early distribution of benefits led to a temporary increase in food consumption among West Virginia Medicaid beneficiaries with diabetes. Findings from late February also imply that individuals may have a way to prepare for reduced food resources. These results shed new light on the effects of unexpected changes to the timing of safety net payments as well as an understanding of unintended consequences of government shutdowns.

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BackgroundSystematic identification of evidence in health policy can be time-consuming and challenging. This study examines three questions pertaining to systematic reviews on obesity prevention policy, in order to identify the most efficient search methods: (1) What percentage of the primary studies selected for inclusion in the reviews originated in scholarly as opposed to gray literature? (2) How much of the primary scholarly literature in this topic area is indexed in PubMed/MEDLINE? (3) Which databases index the greatest number of primary studies not indexed in PubMed, and are these databases searched consistently across systematic reviews?MethodsWe identified systematic reviews on obesity prevention policy and explored their search methods and citations. We determined the percentage of scholarly vs. gray literature cited, the most frequently cited journals, and whether each primary study was indexed in PubMed. We searched 21 databases for all primary study articles not indexed in PubMed to determine which database(s) indexed the highest number of these relevant articles.ResultsIn total, 21 systematic reviews were identified. Ten of the 21 systematic reviews reported searching gray literature, and 12 reviews ultimately included gray literature in their analyses. Scholarly articles accounted for 577 of the 649 total primary study papers. Of these, 495 (76%) were indexed in PubMed. Google Scholar retrieved the highest number of the remaining 82 non-PubMed scholarly articles, followed by Scopus and EconLit. The Journal of the American Dietetic Association was the most-cited journal.ConclusionsResearchers can maximize search efficiency by searching a small yet targeted selection of both scholarly and gray literature resources. A highly sensitive search of PubMed and those databases that index the greatest number of relevant articles not indexed in PubMed, namely multidisciplinary and economics databases, could save considerable time and effort. When combined with a gray literature search and additional search methods, including cited reference searching and consulting with experts, this approach could help maintain broad retrieval of relevant studies while improving search efficiency. Findings also have implications for designing specialized databases for public health research.Electronic supplementary materialThe online version of this article (doi:10.1186/s13643-017-0543-2) contains supplementary material, which is available to authorized users.

The Supplemental Nutrition Assistance Program (SNAP) increases the food purchasing power of lower-income households so that they can better afford a nutritious diet. Benefit amounts are based in part on the cost for a household to follow the Thrifty Food Plan (TFP), a meal pattern designed to meet the Dietary Guidelines for Americans. In October 2021, the U.S. Department of Agriculture (USDA) reformulated the TFP and increased its cost by 21%. However, the TFP still does not account for differences in food prices across the country. This study examines: (1) how geographic variation in food prices affects fruit and vegetable affordability and (2) to what extent raising the cost of the TFP (and therefore the maximum SNAP benefit) has mitigated these effects. We use data on fruit and vegetable prices from the USDA and simulation techniques to create and cost out food baskets with a sufficient quantity and variety of fruits and vegetables for a representative household to satisfy guidelines over one week. We find that the increase in SNAP benefits will increase fruit and vegetable affordability for participating households. However, households facing food prices greater than national average food prices may still face tradeoffs to purchase a balanced diet.

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