Evidence map›Paper›PMID 33715829›Full record

ArticleAnnals of emergency medicine2021

The Influence of Social Determinants of Health on Emergency Departments Visits in a Medicaid Sample.

Melissa L McCarthy, Zhaonian Zheng, Marcee E Wilder, Angelo Elmi, Yixuan Li, Scott L Zeger

Open access · greenAbstract read
In one paragraph

Article in Annals of emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
9.6field-weighted citation impact, top 2% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  15. The perceived work environment and well-being: A survey of emergency health care workers during the COVID-19 pandemic.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022
    Article
  16. Article
  17. Primary Care and Emergency Room Visits: The Virginia All-Payer Claims Database.Journal of the American Board of Family Medicine : JABFM
    Observational
  18. Article
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

6 authors at 3 institutions in 1 country.

Melissa L McCarthyDepartment of Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC. Electronic address: melmccar@gwu.edu.
Zhaonian ZhengDepartment of Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC.
Marcee E WilderDepartment of Emergency Medicine, George Washington University, Washington, DC; Medical Faculty Associates, Washington, DC.
Angelo ElmiDepartment of Biostatistics and Bioinformatics, Milken Institute School of Public Health, George Washington University, Washington, DC.
Yixuan LiDepartment of Health Policy and Management, Milken Institute School of Public Health, George Washington University, Washington, DC.
Scott L ZegerDepartment of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD.
George Washington University · USMilken Institute · USJohns Hopkins University · US

Funding

Integrating Social Determinants of Health Into Risk Adjustment Models: An Opportunity to Improve Care Coordination Strategies For Medicaid BeneficiariesR01MD011607 · NIMHD · GEORGE WASHINGTON UNIVERSITY · PI MCCARTHY, MELISSA L · 2017 to 2020
$2.5M
NIMHD NIH HHS R01 MD011607
6 · The paper itself

Abstract

STUDY

objectiveWe evaluate the relationship between social determinants of health and emergency department (ED) visits in the Medicaid Cohort of the District of Columbia.

methodsWe conducted a retrospective cohort analysis of 8,943 adult Medicaid beneficiaries who completed a social determinants of health survey at study enrollment. We merged the social determinants of health data with participants' Medicaid claims data for up to 24 months before enrollment. Using latent class analysis, we grouped our participants into 4 distinct social risk classes based on similar responses to the social determinants of health questions. We classified ED visits as primary care treatable or ED care needed, using the Minnesota algorithm. We calculated the adjusted log relative primary care treatable and ED care needed visit rates among the social risk classes by using generalized linear mixed-effects models.

resultsThe majority (71%) of the 49,111 ED visits made by the 8,943 participants were ED care needed. The adjusted log relative rate of both primary care treatable and ED care needed visit rates increased with each higher (worse) social risk class compared with the lowest class. Participants in the highest social risk class (ie, unemployed and many social risks) had a log relative primary care treatable and ED care needed rate of 39% (range 28% to 50%) and 29% (range 21% to 38%), respectively, adjusted for age, sex, and illness severity.

conclusionThere is a strong relationship between social determinants of health and ED utilization in this Medicaid sample that is worth investigating in other Medicaid samples and patient populations.

Indexed as

AdultDistrict of ColumbiaEmergenciesEmergency Service, HospitalFemaleHumansMaleMedicaidMiddle AgedPrimary Health CareRetrospective StudiesSocial Determinants of HealthSurveys and QuestionnairesUnited StatesYoung Adult

Identifiers

PMID33715829
PMCPMC9228973
OpenAlexW3133617050

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.