Evidence map›Paper›PMID 42908000›Full record

ArticleBMC health services research2026

Socioeconomic factors and out-of-pocket healthcare spending among older adults with hypertension and type 2 diabetes in the US: findings from the 2018-2022 MEPS data.

Tonghui Xu, Alfonzo E Munoz, Thai A Tran, Omolola E Adepoju

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Article in BMC health services research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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4 authors.

Tonghui XuHumana Integrated Health Systems Sciences Institute, Houston, TX, USA. txu15@uh.edu.ORCID http://orcid.org/0009-0009-2000-9049
Alfonzo E MunozTilman J Fertitta Family College of Medicine, University of Houston, Houston, TX, USA.
Thai A TranTilman J Fertitta Family College of Medicine, University of Houston, Houston, TX, USA.
Omolola E AdepojuHumana Integrated Health Systems Sciences Institute, Houston, TX, USA.ORCID http://orcid.org/0000-0002-5585-7146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes and hypertension often co-occur significantly, adding to patients' healthcare economic expenditure, especially among older adults. This study examined socioeconomic factors associated with annual combined total out-of-pocket (OOP) healthcare expenditures for type 2 diabetes and hypertension among adults aged 50 years and older with co-occurring hypertension and diabetes in the United States.

methodThis secondary data analysis used pooled, nationally representative data from the 2018-2022 Medical Expenditure Panel Survey (MEPS) and focused on U.S. adults aged 50 years and older with type 2 diabetes and hypertension. The outcome variable was the combined annual OOP cost for both type 2 diabetes and hypertension among patients with both conditions. Covariates include age, gender, race/ethnicity, insurance coverage (e.g., Medicare, Medicaid/TRICARE, private, or more than one insurance type), annual family income, region, employment status, education, marital status, perceived general health, and perceived mental health. Because the outcome variable was right-skewed, we performed a logarithmic transformation to normalize the OOP cost variable. We then applied a survey weighted linear regression model (with the log-transformed outcome) to examine the relationship between sociodemographic variables and the combined OOP medical expenditures. The model accounted for the complex sampling design of the MEPS data, including stratification, clustering, weighting structure, and inflation adjustments (reported in December 2022 U.S. dollars using the Consumer Price Index [CPI] Inflation Calculator). All analyses were conducted using SAS 9.4.

resultsWe included 7,341 individuals with both conditions. The average weighted annual OOP costs among adults with both conditions were $474.95, $413.16 for diabetes specific expenditures, and $84.37 for hypertension specific expenditures. Adults residing in the Northeast who were aged 65 years and older, non-Hispanic White, married, had higher income, had a high school education or higher, reported poor perceived health status, and were either uninsured or had private insurance had significantly higher odds of higher OOP costs.

conclusionsThese findings underscore the complex interplay of health status, socioeconomic factors, and insurance coverage in driving differences in annual OOP healthcare expenditures among adults aged 50 and older with both hypertension and type 2 diabetes in the United States.

Indexed as

Diabetes Mellitus, Type 2Financing, PersonalHealth ExpendituresHypertensionAgedFemaleHumansInsurance CoverageMaleMiddle AgedSecondary Data AnalysisSocioeconomic Disparities in HealthSocioeconomic FactorsUnited StatesDiabetes and hypertensionMEPS dataNational data analysisOut-of-pocket medical expenditureSocial determinant of health

Identifiers

PMID42908000
PMCPMC13688889

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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.