Disparities in health care use among low-salary and high-salary employees.


Journal

The American journal of managed care
ISSN: 1936-2692
Titre abrégé: Am J Manag Care
Pays: United States
ID NLM: 9613960

Informations de publication

Date de publication:
01 05 2022
Historique:
entrez: 13 5 2022
pubmed: 14 5 2022
medline: 20 5 2022
Statut: epublish

Résumé

To examine how health care utilization and spending vary for low-income employees compared with high-income employees enrolled in an employer-sponsored high-deductible health plan (HDHP). We use commercial medical claims data and administrative human resource data from a large employer between 2014 and 2018. We link the administrative data, which include details on salary and other benefit choices, to each employee in each year with medical claims. Our variables of interest include medical spending and utilization outcomes grouped into different care settings. Using multivariate regressions, we estimate the association between salary buckets and health care utilization and spending, controlling for demographic characteristics, comorbidities of employees, human resource health plan benefits, and geography. Employees earning less than $75,000 show lower rates of utilization and spending on preventive measures, such as outpatient visits and prescription drugs, while having higher rates of utilization of preventable and avoidable emergency department visits and inpatient stays, resulting in lower overall health care spending among lower-salary employees. Low-salary employees enrolled in HDHPs have higher rates of acute care utilization and spending but lower rates of primary care spending compared with high-salary employees. Results suggest that HDHPs discourage routine physician-patient care among low-salary employees.

Identifiants

pubmed: 35546590
doi: 10.37765/ajmc.2022.89148
pii: 89148
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e170-e177

Auteurs

Benjamin Ukert (B)

Texas A&M University, 212 Adriance Lab Rd, College Station, TX 77843. Email: bukert@tamu.edu.

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Classifications MeSH