Dataset Information

Supplemental Nutrition Assistance Progam benefits and emergency room visits for hypoglycaemia.

ABSTRACT:

Objective

The present study examines the connection between the timing and size of Supplemental Nutrition Assistance Program (SNAP) benefits and the occurrence of emergency room (ER) visits for hypoglycaemia, a condition that is highly sensitive to short-term changes in nutritional intake.

Design

We used administrative data from Missouri SNAP and Medicaid to identify the timing of issuance and the benefit size of SNAP and the timing of ER claims for hypoglycaemia. We estimated the probability of submitting an ER claim for hypoglycaemia as a function of the calendar week, SNAP benefit week and the size of the SNAP benefit in models that controlled for individual demographic characteristics.

Setting

Missouri SNAP caseload from January 2010 to December 2013 linked to adult Medicaid claims data for the same time period.

Subjects

ER claims submitted to Medicaid (n 6 508 061).

Results

The results indicated no evidence of a SNAP benefit cycle or monthly cycle to ER claims for hypoglycaemia. However, the analysis did find that ER claims for hypoglycaemia are related to the size of the SNAP benefit.

Conclusions

These results suggest that more generous SNAP benefits help households avoid nutritional fluctuations in the quality and quantity of food that might result in low blood sugar, thus necessitating fewer ER visits for hypoglycaemia.

SUBMITTER: Heflin C

PROVIDER: S-EPMC10261533 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Supplemental Nutrition Assistance Progam benefits and emergency room visits for hypoglycaemia.

Heflin Colleen C Hodges Leslie L Mueser Peter P

Public health nutrition 20161214 7

<h4>Objective</h4>The present study examines the connection between the timing and size of Supplemental Nutrition Assistance Program (SNAP) benefits and the occurrence of emergency room (ER) visits for hypoglycaemia, a condition that is highly sensitive to short-term changes in nutritional intake.<h4>Design</h4>We used administrative data from Missouri SNAP and Medicaid to identify the timing of issuance and the benefit size of SNAP and the timing of ER claims for hypoglycaemia. We estimated the ...[more]

PMID: 27964772

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Project description:ImportanceUnderstanding how social policies shape health is a national priority, especially in the context of the COVID-19 pandemic.ObjectiveTo understand the association between politically motivated changes to Nebraska's Supplemental Nutrition Assistance Program (SNAP) policy and public health measures during the COVID-19 pandemic.Design, setting, and participantsThis cross-sectional study used synthetic control methods to estimate the association of Nebraska's decision to reject emergency allotments for the SNAP with food security and hospital capacity indicators. A counterfactual for Nebraska was created by weighting data from the rest of the US. State-level changes in Nebraska between March 2020 and March 2021 were included. Data were acquired from the Census Bureau's Household Pulse Survey on individual food security and mental health indicators and from the US Centers for Disease Control and Prevention on hospital-level capacity indicators. Data analysis occurred between October 2022 and June 2023.InterventionThe rejection of additional SNAP funds for low-income households in Nebraska from August to November 2020.Main outcomes and measuresFood insecurity and inpatient bed use indicators (ie, inpatient beds filled, inpatient beds filled by patients with COVID-19, and inpatients with COVID-19).ResultsThe survey data of 1 591 006 respondents from May 2020 to November 2020 was analyzed, and 24 869 (1.56%) lived in Nebraska. Nebraska's population was composed of proportionally more White individuals (mean [SD], 88.70% [0.29%] vs 78.28% [0.26%]; P < .001), fewer individuals who made more than $200 000 in 2019 (4.20% [0.45%] vs 5.22% [0.12%]; P < .001), and more households sized 1 to 3 (63.41% [2.29%] vs 61.13% [1.10%); P = .03) compared with other states. Nebraska's rejection of additional funding for SNAP recipients was associated with increases in food insecurity (raw mean [SD] difference 1.61% [1.30%]; relative difference, 19.63%; P = .02), percentage of inpatient beds filled by patients with COVID-19 (raw mean [SD] difference, 0.19% [1.55%]; relative difference, 3.90%; P = .02), and percentage of inpatient beds filled (raw mean [SD] difference, 2.35% [1.82%]; relative difference, 4.10%; P = .02).Conclusions and relevanceIn this cross-sectional study, the association between social policy, food security, health, and public health resources was examined, and the rejection of emergency allotments in Nebraska was associated with increased food insecurity. Additionally, this intervention was associated with an increased rate of hospitalizations for COVID-19 and non-COVID-19 causes.

Project description:ImportanceNonadherence to antihypertensive medications is associated with uncontrolled blood pressure, higher mortality rates, and increased health care costs, and food insecurity is one of the modifiable medication nonadherence risk factors. The Supplemental Nutrition Assistance Program (SNAP), a social intervention program for addressing food insecurity, may help improve adherence to antihypertensive medications.ObjectiveTo evaluate whether receipt of SNAP benefits can modify the consequences of food insecurity on nonadherence to antihypertensive medications.Design, setting, and participantsA retrospective cohort study design was used to assemble a cohort of antihypertensive medication users from the linked Medical Expenditure Panel Survey (MEPS)-National Health Interview Survey (NHIS) dataset for 2016 to 2017. The MEPS is a national longitudinal survey on verified self-reported prescribed medication use and health care access measures, and the NHIS is an annual cross-sectional survey of US households that collects comprehensive health information, health behavior, and sociodemographic data, including receipt of SNAP benefits. Receipt of SNAP benefits in the past 12 months and food insecurity status in the past 30 days were assessed through standard questionnaires during the study period. Data analysis was performed from March to December 2021.ExposureStatus of SNAP benefit receipt.Main outcomes and measuresThe main outcome, nonadherence to antihypertensive medication refill adherence (MRA), was defined using the MEPS data as the total days' supply divided by 365 days for each antihypertensive medication class. Patients were considered nonadherent if their overall MRA was less than 80%. Food insecurity status in the 30 days prior to the survey was modeled as the effect modifier. Inverse probability of treatment (IPT) weighting was used to control for measured confounding effects of baseline covariates. A probit model was used, weighted by the product of the computed IPT weights and MEPS weights, to estimate the population average treatment effects (PATEs) of SNAP benefit receipt on nonadherence. A stratified analysis approach was used to assess for potential effect modification by food insecurity status.ResultsThis analysis involved 6692 antihypertensive medication users, of whom 1203 (12.8%) reported receiving SNAP benefits and 1338 (14.8%) were considered as food insecure. The mean (SD) age was 63.0 (13.3) years; 3632 (51.3%) of the participants were women and 3060 (45.7%) were men. Although SNAP was not associated with nonadherence to antihypertensive medications in the overall population, it was associated with a 13.6-percentage point reduction in nonadherence (PATE, -13.6 [95% CI, -25.0 to -2.3]) among the food-insecure subgroup but not among their food-secure counterparts.Conclusions and relevanceThis analysis of a national observational dataset suggests that patients with hypertension who receive SNAP benefits may be less likely to become nonadherent to antihypertensive medication, especially if they are experiencing food insecurity. Further examination of the role of SNAP as a potential intervention for preventing nonadherence to antihypertensive medications through prospectively designed interventional studies or natural experiment study designs is needed.

Project description:ImportanceIn the Supplemental Nutrition Assistance Program (SNAP), families may temporarily lose benefits for which they are still eligible because of administrative issues. This lapse in benefits, referred to as churning, increases the risk of food insecurity for families, which is linked with poorer health.ObjectivesTo examine the rate of churning among SNAP participants with young children and evaluate the association of administrative policy changes with churning risk.Design, setting, and participantsA cross-sectional study of recertifications among 9735 SNAP-participating households with at least 1 child younger than 6 years from May to November 2019 tested whether there were sociodemographic differences in churning risk. An interrupted time series analysis of recertifications among 70 799 households from January 1, 2014, to December 31, 2019, tested whether state-level administrative policy changes were associated with churning risk. Data were analyzed between February and November 2021.ExposuresThree Massachusetts SNAP administrative policy changes.Main outcomes and measuresChurn episodes, defined as losing SNAP benefits after a deadline for eligibility recertification followed by receiving benefits again within 30 days, measured using state SNAP administrative data.ResultsIn 2019, a total of 9752 recertification events occurred among 9735 households (3841 [39.4%] Hispanic, 2138 [21.9%] non-Hispanic Black, and 3533 [36.2%] White) with at least 1 child younger than 6 years participating in SNAP. Of these households, 3984 (40.9%) experienced SNAP churning for a period of 1 to 30 days because of missed recertification forms in any given month. Churning was more common among Hispanic households (by 3.9 percentage points; 95% CI, 1.2-6.6 percentage points) than non-Hispanic White households and more common among households with more than 1 child younger than 6 years (by 5.6 percentage points; 95% CI, 3.0-8.1 percentage points) compared with smaller households. Among households that churned, non-Hispanic White households lost a mean of $10.51 (95% CI, $10.16-$10.86) in benefits per household member, and non-Hispanic Black households lost an additional $1.10 (95% CI, $0.47-$1.74) per household member. On implementation of a task-based, first-available-caseworker model, mean churn episode length was significantly shorter immediately on introduction of the model (-0.30 days per each month after the policy change; 95% CI, -0.52 to -0.07 days) and over time (-0.23 days per each month after the policy change; 95% CI, -0.26 to -0.20 days). At the addition of a second policy change to expand participants' access to simplified reporting requirements, a decrease was seen in the trend in the probability of a churn episode by -0.74 percentage points per month (95% CI, -0.87 to -0.62 percentage points). A third policy to expand online services for submitting recertification paperwork was not associated with a change in churn risk over time.Conclusions and relevanceChurning in SNAP is common among households with young children and is disproportionately experienced by Black and Hispanic households and lower-income households. Administrative changes to simplify caseworkers' workloads and streamline eligibility reporting for participants may reduce churn.

Project description:ImportanceRacially minoritized people experience disproportionately high rates of food insecurity. The Supplemental Nutrition Assistance Program (SNAP) reduces food insecurity.ObjectiveTo evaluate SNAP access with regard to racial disparities in food insecurity.Design, setting, and participantsThis cross-sectional study used data from the 2018 Survey of Income and Program Participation (SIPP). On the basis of random sampling strategies, 44 870 households were eligible for the SIPP, and 26 215 (58.4%) participated. Sampling weights accounted for survey design and nonresponse. Data were analyzed from February 25 to December 12, 2022.ExposuresThis study examined disparities based on household racial composition (entirely Asian, entirely Black, entirely White, and multiple races or multirace based on SIPP categories).Main outcomes and measuresFood insecurity during the prior year was measured using the validated 6-item US Department of Agriculture Food Security Survey Module. SNAP participation during the prior year was classified based on whether anyone in the household received SNAP benefits. Modified Poisson regression tested hypothesized disparities in food insecurity.ResultsA total of 4974 households that were eligible for SNAP (income ≤130% of the poverty threshold) were included in this study. A total of 218 households (5%) were entirely Asian, 1014 (22%) were entirely Black, 3313 (65%) were entirely White, and 429 (8%) were multiracial or of other racial groups. Adjusting for household characteristics, households that were entirely Black (prevalence rate [PR], 1.18; 95% CI, 1.04-1.33) or multiracial (PR, 1.25; 95% CI, 1.06-1.46) were more likely to be food insecure than entirely White households, but associations differed depending on SNAP participation. Among households that did not participate in SNAP, those that were entirely Black (PR, 1.52; 97.5% CI, 1.20-1.93) or multiracial (PR, 1.42; 97.5% CI, 1.04-1.94) were more likely to be food insecure than White households; however, among SNAP participants, Black households were less likely than White households to be food insecure (PR, 0.84; 97.5% CI, 0.71-0.99).Conclusions and relevanceIn this cross-sectional study, racial disparities in food insecurity were found among low-income households that do not participate in SNAP but not among those that do, suggesting that access to SNAP should be improved. These results also highlight the need to examine the structural and systemic racism in food systems and in access to food assistance that may contribute to disparities.

Dataset Information

Supplemental Nutrition Assistance Progam benefits and emergency room visits for hypoglycaemia.

Objective

Design

Setting

Subjects

Results

Conclusions

Publications

Supplemental Nutrition Assistance Progam benefits and emergency room visits for hypoglycaemia.

Similar Datasets

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