Evidence map›Paper›PMID 40165309›Full record

ArticleBMC health services research2025

Are unmet health related social needs associated with emergency department utilization among Medicare beneficiaries?

Ethan E Abbott, Shameeke Taylor, Carmen Vargas-Torres, Kevin Petrozzo, David G Buckler, Lynne D Richardson, Alexis M Zebrowski

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ethan E Abbott *Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA. ethan.abbott@mountsinai.org.
Shameeke Taylor *Department of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA.
Carmen Vargas-TorresDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA.
Kevin PetrozzoDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA.
David G BucklerDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA.
Lynne D RichardsonDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA.
Alexis M ZebrowskiDepartment of Emergency Medicine, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, Box 1620, New York, NY, 10029, USA.

Funding

COVID and Translational Science supercomputer (CATS)S10OD030463 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2021 to 2021
$2.0M
Addressing Disparities in Out-of-Hospital Cardiac Arrest: Utilization of Health-Related Social Needs and Predictive Analytics to Improve Clinical OutcomesK08HL169980 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Ethan Abbott · 2024 to 2026
$502k
NHLBI NIH HHS 1K08HL169980-01A1NHLBI NIH HHS K08 HL169980NIH HHS S10 OD030463
6 · The paper itself

Abstract

backgroundHealth-related social needs (HRSN) are increasingly recognized as important factors influencing healthcare outcomes and utilization. This study examined the association between unmet HRSNs and emergency department (ED) utilization among Medicare beneficiaries.

methodsWe conducted a retrospective, survey-weighted cohort analysis of the 2015-2016 Medicare Current Beneficiary Survey (MCBS) linked with Medicare fee-for-service claims. The study included beneficiaries aged ≥ 65 years enrolled in fee-for-service Medicare who completed the MCBS. The primary predictor was having ≥ 1 unmet HRSN (food insecurity, delaying care due to cost, or difficulty accessing medical care). Primary outcomes included an index ED visit (1 ED visit) and any ED revisit within one year (≥ 2 ED visits); hospital admission from these ED visits was a secondary outcome. We fit multivariable logistic regression models adjusted for demographic, socioeconomic, and clinical factors. Interactions were tested using adjusted Wald tests.

resultsAmong 16,990 beneficiaries, 6.2% (n = 1,046) reported one or more unmet HRSNs. Within one year of completion of the survey, 27.7% (n = 4,702) had an 1 ED visit, with 9.03% of all beneficiaries (n = 1,535) requiring admission to the hospital. In adjusted analyses, beneficiaries with unmet HRSN had significantly higher odds of ≥ 2 ED visits (OR 1.47, 95% CI 1.12-1.91) compared to those without unmet HRSNs, but not for index ED visit. The oldest age category (85 + years) showed significantly increased odds of both index ED visits and revisits. Unmet HRSN were not significantly associated with risk of subsequent hospital admission for both index ED visit and ED revisit.

conclusionSelf-reported unmet HRSNs were associated with significantly increased odds of ≥ 2 ED visits but not an 1 ED visit within one year of the MCBS survey. These findings highlight the importance of improved and standardized data collection of HRSNs to understand the impacts on ED utilization. Oldest age patients had increased odds of index ED visits and revisits. Further investigation should focus on strategies to reduce ED recidivism in vulnerable older populations.

Indexed as

Emergency Service, HospitalHealth Services Needs and DemandMedicarePatient Acceptance of Health CareAgedAged, 80 and overFee-for-Service PlansFemaleFood InsecurityHealth Services AccessibilityHumansMaleRetrospective StudiesUnited StatesEmergency departmentHealth-related social needsMedicare current beneficiary survey

Identifiers

PMID40165309
PMCPMC11956181

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.