Evidence map›Paper›PMID 37368399›Full record

ArticleJAMA network open2023

Use of High-Risk Medications Among Older Adults Enrolled in Medicare Advantage Plans vs Traditional Medicare.

Jose F Figueroa, Dannie Dai, Yevgeniy Feyman, Melissa M Garrido, Thomas C Tsai, E John Orav, Austin B Frakt

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jose F FigueroaDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Dannie DaiDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Yevgeniy FeymanDepartment of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Melissa M GarridoBoston University School of Public Health, Boston, Massachusetts.
Thomas C TsaiDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
E John OravDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Austin B FraktDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Harvard University · USBrigham and Women's Hospital · USVA Boston Healthcare System · US

Funding

A National Analysis of the Extent and Value of Medicare Advantage Physician NetworksR01AG068122 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI FRAKT, AUSTIN B. · 2021 to 2023
$1.6M
NIA NIH HHS R01 AG068122
6 · The paper itself

Abstract

Importance: Limiting the use of high-risk medications (HRMs) among older adults is a national priority to provide a high quality of care for older beneficiaries of both Medicare Advantage and traditional fee-for-service Medicare Part D plans. Objective: To evaluate the differences in the rate of HRM prescription fills among beneficiaries of traditional Medicare vs Medicare Advantage Part D plans and to examine the extent to which these differences change over time and the patient-level factors associated with higher rates of HRMs. Design, Setting, and Participants: This cohort study used a 20% sample of Medicare Part D data on filled drug prescriptions from 2013 to 2017 and a 40% sample from 2018. The sample comprised Medicare beneficiaries aged 66 years or older who were enrolled in Medicare Advantage or traditional Medicare Part D plans. Data were analyzed between April 1, 2022, and April 15, 2023. Main Outcomes and Measures: The primary outcome was the number of unique HRMs prescribed to older Medicare beneficiaries per 1000 beneficiaries. Linear regression models were used to model the primary outcome, adjusting for patient characteristics and county characteristics and including hospital referral region fixed effects. Results: The sample included 5 595 361 unique Medicare Advantage beneficiaries who were propensity score-matched on a year-by-year basis to 6 578 126 unique traditional Medicare beneficiaries between 2013 and 2018, resulting in 13 704 348 matched pairs of beneficiary-years. The traditional Medicare vs Medicare Advantage cohorts were similar in age (mean [SD] age, 75.65 [7.53] years vs 75.60 [7.38] years), proportion of males (8 127 261 [59.3%] vs 8 137 834 [59.4%]; standardized mean difference [SMD] = 0.002), and predominant race and ethnicity (77.1% vs 77.4% non-Hispanic White; SMD = 0.05). On average in 2013, Medicare Advantage beneficiaries filled 135.1 (95% CI, 128.4-142.6) unique HRMs per 1000 beneficiaries compared with 165.6 (95% CI, 158.1-172.3) HRMs per 1000 beneficiaries for traditional Medicare. In 2018, the rate of HRMs had decreased to 41.5 (95% CI, 38.2-44.2) HRMs per 1000 beneficiaries in Medicare Advantage and to 56.9 (95% CI, 54.1-60.1) HRMs per 1000 beneficiaries in traditional Medicare. Across the study period, Medicare Advantage beneficiaries received 24.3 (95% CI, 20.2-28.3) fewer HRMs per 1000 beneficiaries per year compared with traditional Medicare beneficiaries. Female, American Indian or Alaska Native, and White populations were more likely to receive HRMs than other groups. Conclusion and Relevance: Results of this study showed that HRM rates were consistently lower among Medicare Advantage than traditional Medicare beneficiaries. Higher use of HRMs among female, American Indian or Alaska Native, and White populations is a concerning disparity that requires further attention.

Indexed as

Medicare Part CMedicare Part DAgedCohort StudiesDrug PrescriptionsFemaleHumansMaleUnited States

Identifiers

PMID37368399
PMCPMC10300714
OpenAlexW4382182083

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.