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1.
Diabetes Care ; 44(12): 2699-2707, 2021 12.
Article in English | MEDLINE | ID: mdl-34607835

ABSTRACT

OBJECTIVE: Food insecurity is associated with diabetes. The Supplemental Nutrition Assistance Program (SNAP) is the largest U.S. government food assistance program. Whether such programs impact diabetes trends is unclear. The objective of this study was to evaluate the association between changes in state-level policies affecting SNAP participation and county-level diabetes prevalence. RESEARCH DESIGN AND METHODS: We evaluated the association between change in county-level diabetes prevalence and changes in the U.S. Department of Agriculture SNAP policy index-a measure of adoption of state-level policies associated with increased SNAP participation (higher value indicating adoption of more policies associated with increased SNAP participation; range 1-10)-from 2004 to 2014 using g-computation, a robust causal inference methodology. The study included all U.S. counties with diabetes prevalence data available from the Centers for Disease Control and Prevention's U.S. Diabetes Surveillance System. RESULTS: The study included 3,135 of 3,143 U.S. counties. Mean diabetes prevalence increased from 7.3% (SD 1.3) in 2004 to 9.1% (SD 1.8) in 2014. The mean SNAP policy index increased from 6.4 (SD 0.9) to 8.2 (SD 0.6) in 2014. After accounting for changes in demographic-, economic-, and health care-related variables and the baseline SNAP policy index, a 1-point absolute increase in the SNAP policy index between 2004 and 2014 was associated with a 0.050 (95% CI 0.042-0.057) percentage point lower diabetes prevalence per year. CONCLUSIONS: State policies aimed at increasing SNAP participation were independently associated with a lower rise in diabetes prevalence between 2004 and 2014.


Subject(s)
Diabetes Mellitus , Food Assistance , Behavioral Risk Factor Surveillance System , Diabetes Mellitus/epidemiology , Food Supply , Humans , Policy , Poverty
2.
Circ Heart Fail ; 14(5): e008277, 2021 05.
Article in English | MEDLINE | ID: mdl-33993721

ABSTRACT

BACKGROUND: Due to the high cost of left ventricular assist device (LVAD) therapy, payer type may be an important factor in determining eligibility. How payer type influences outcomes after LVAD implantation is unclear. We, therefore, aimed to study the association of health insurance payer type with outcomes after durable LVAD implantation. METHODS: Using STS-INTERMACS (Society of Thoracic Surgeons-Interagency Registry for Mechanically Assisted Circulatory Support), we studied nonelderly adults receiving a durable LVAD from 2016 to 2018 and compared all-cause mortality and postindex hospitalization adverse event episode rate by payer type. Multivariable Fine-Gray and generalized linear models were used to compare the outcomes. RESULTS: Of the 3251 patients included, 26.0% had Medicaid, 24.9% had Medicare alone, and 49.1% had commercial insurance. Compared with commercially insured patients, mortality did not differ for patients with Medicaid (subdistribution hazard ratio, 1.00 [95% CI, 0.75-1.34], P=0.99) or Medicare (subdistribution hazard ratio, 1.09 [95% CI, 0.84-1.41], P=0.52). Medicaid was associated with a significantly lower adjusted incidence rate (incidence rate ratio, 0.88 [95% CI, 0.78-0.99], P=0.041), and Medicare was associated with a significantly higher adjusted incidence rate (incidence rate ratio, 1.16 [95% CI, 1.03-1.30], P=0.011) of adverse event episodes compared with commercially insured patients. CONCLUSIONS: All-cause mortality after durable LVAD implantation did not differ significantly by payer type. Payer type was associated with the rate of adverse events, with Medicaid associated with a significantly lower rate, and Medicare with a significantly higher rate of adverse event episodes compared with commercially insured patients.


Subject(s)
Heart Failure/therapy , Heart-Assist Devices/adverse effects , Heart-Assist Devices/economics , Insurance, Health , Medicare/economics , Adult , Aged , Female , Heart Failure/physiopathology , Hospitalization/economics , Humans , Incidence , Insurance, Health/economics , Male , Middle Aged , Registries , Retrospective Studies , United States
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