Evidence map›Paper›PMID 38727326›Full record

ArticleAmerican journal of hypertension2024

The Association Between Type of Insurance Plan, Out-of-Pocket Cost, and Adherence to Antihypertensive Medications in Medicare Supplement Insurance Enrollees.

Donglan Zhang, Jianing Xu, Daniel B Hall, Xianyan Chen, Ming Chen, Jasmin Divers, Jingkai Wei, Janani Rajbhandari-Thapa, Davene R Wright, Milla Arabadjian and 1 more

Abstract read
In one paragraph

Article in American journal of hypertension, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Donglan ZhangDepartment of Foundations of Medicine, Center for Population Health and Health Services Research, New York University Grossman Long Island School of Medicine, Mineola, New York, USA.ORCID 0000-0001-5225-4721
Jianing XuDepartment of Statistics, Statistical Consulting Center, University of Georgia, Athens, Georgia, USA.
Daniel B HallDepartment of Statistics, Statistical Consulting Center, University of Georgia, Athens, Georgia, USA.
Xianyan ChenDepartment of Statistics, Statistical Consulting Center, University of Georgia, Athens, Georgia, USA.
Ming ChenInstitute of Health Outcomes and Policy, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
Jasmin DiversDepartment of Foundations of Medicine, Center for Population Health and Health Services Research, New York University Grossman Long Island School of Medicine, Mineola, New York, USA.
Jingkai WeiDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, South Carolina, USA.
Janani Rajbhandari-ThapaDepartment of Health Policy and Management, College of Public Health, University of Georgia, Athens, Georgia, USA.
Davene R WrightDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, Boston, Massachusetts, USA.
Milla ArabadjianDepartment of Foundations of Medicine, Center for Population Health and Health Services Research, New York University Grossman Long Island School of Medicine, Mineola, New York, USA.
Henry N YoungDepartment of Clinical and Administrative Pharmacy, College of Pharmacy, University of Georgia, Athens, Georgia, USA.

Funding

Using machine learning and causal inference approaches to investigate disparities in Alzheimer’s disease and related dementias outcomesR01MD013886 · NIMHD · UNIVERSITY OF GEORGIA · PI ZHANG, DONGLAN · 2019 to 2022
$2.4M
NIMHD NIH HHS R01 MD013886NIMHD NIH HHS R01MD013886-05
6 · The paper itself

Abstract

backgroundMedicare supplement insurance, or Medigap, covers 21% of Medicare beneficiaries. Despite offsetting some out-of-pocket (OOP) expenses, remaining OOP costs may pose a barrier to medication adherence. This study aims to evaluate how OOP costs and insurance plan types influence medication adherence among beneficiaries covered by Medicare supplement plans.

methodsWe conducted a retrospective analysis of the Merative MarketScan Medicare Supplement Database (2017-2019) in Medigap enrollees (≥65 years) with hypertension. The proportion of days covered (PDC) was a continuous measure of medication adherence and was also dichotomized (PDC ≥0.8) to quantify adequate adherence. Beta-binomial and logistic regression models were used to estimate associations between these outcomes and insurance plan type and log-transformed OOP costs, adjusting for patient characteristics.

resultsAmong 27,407 patients with hypertension, the average PDC was 0.68 ± 0.31; 47.5% achieved adequate adherence. A mean $1 higher in 30-day OOP costs were associated with a 0.06 (95% confidence intervals [CIs]: -0.09 to -0.03) lower probability of adequate adherence, or a 5% (95% CI: 4%-7%) decrease in PDC. Compared with comprehensive plan enrollees, the odds of adequate adherence were lower among those with point-of-service plans (odds ratio [OR]: 0.69, 95% CI: 0.62-0.77), but higher among those with preferred provider organization (PPO) plans (OR: 1.08, 95% CI: 1.01-1.15). Moreover, the association between OOP costs and PDC was significantly greater for PPO enrollees.

conclusionsWhile Medicare supplement insurance alleviates some OOP costs, different insurance plans and remaining OOP costs influence medication adherence. Reducing patient cost-sharing may improve medication adherence.

Indexed as

Antihypertensive AgentsDrug MonitoringHealth ExpendituresHypertensionAgedAged, 80 and overDatabases, FactualDrug CostsFemaleHumansInsurance, MedigapMaleMedicareRetrospective StudiesUnited StatesAntihypertensive Agentsantihypertensive medicationsblood pressurehigh-deductible insurance planhypertensioninsurance benefit designmanaged care planMedicare supplementmedication adherenceout-of-pocket expenses

Identifiers

PMID38727326
PMCPMC11247132

What OpenQuestion holds

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Registered trials

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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.