Evidence map›Paper›PMID 33749766›Full record

ArticleJAMA network open2021

Association of Medicare Mandatory Bundled Payment Program With the Receipt of Elective Hip and Knee Replacement in White, Black, and Hispanic Beneficiaries.

Hyunjee Kim, Thomas H A Meath, Ana R Quiñones, K John McConnell, Said A Ibrahim

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 28 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

5 authors at 2 institutions in 1 country.

Hyunjee KimCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland.
Thomas H A MeathCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland.
Ana R QuiñonesDepartment of Family Medicine, Oregon Health & Science University, Portland.
K John McConnellCenter for Health Systems Effectiveness, Oregon Health & Science University, Portland.
Said A IbrahimDepartment of Healthcare Policy & Research, Weill Cornell Medicine, Cornell University, New York.
Oregon Health & Science University · USCornell University · US

Funding

Effects of Comprehensive Care for Joint Replacement Model on Racial Disparities in Lower Extremity Joint ReplacementsR01MD011403 · NIMHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI KIM, HYUNJEE · 2017 to 2020
$2.2M
Racial Disparity in the Utilization of Joint Replacement for OsteoarthritisK24AR055259 · NIAMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI IBRAHIM, SAID A · 2007 to 2019
$1.2M
NIAMS NIH HHS K24 AR055259NIMHD NIH HHS R01 MD011403
6 · The paper itself

Abstract

Importance: The Comprehensive Care for Joint Replacement (CJR) model was designed to reduce the cost and improve the quality of hip or knee replacement among Medicare beneficiaries. Yet whether this model may exacerbate existing racial/ethnic disparities in access to the surgery is unclear. Objective: To examine the association of the CJR model with the receipt of elective hip or knee replacement across White, Black, and Hispanic Medicare beneficiaries. Design, Setting, and Participants: Retrospective cohort study of Medicare claims from 2013 through 2017 among White, Black, and Hispanic Medicare beneficiaries undergoing elective joint replacement in 65 treatment (selected for CJR participation) and 101 control metropolitan statistical areas (MSAs). Exposures: Starting in April 2016, hospitals in the treatment MSAs were required to participate in the CJR model and were accountable for expenditures occurring during patients' hospitalization for hip or knee replacement and 90 days after the hospital discharge. Main Outcomes and Measures: Beneficiary-level elective hip or knee replacement receipt in a given year. Results: Among 17 243 304 patients, 9 839 996 (57%) were women; 2 107 425 (12%) were age 85 years or older. Of the final sample, 14 632 434 (85%) were White beneficiaries, 1 518 629 (9%) were Black beneficiaries, and 1 092 241 (6%) were Hispanic beneficiaries. The CJR model was associated with an increase of 1.6 elective hip or knee replacements per 1000 beneficiary-years for Hispanic beneficiaries (95% CI, 0.06-2.05) and a decrease of 0.64 replacements for Black beneficiaries (95% CI, -1.25 to -0.02). No evidence was found for any changes for White beneficiaries per 1000 beneficiary-years (0.04 replacements, 95% CI, -0.35 to 0.42 replacements). The Black-White difference in the rate of elective hip or knee replacement per 1000 beneficiary-years further widened by 0.68 replacements (-0.68, 95% CI, -1.20 to -0.15). Conclusions and Relevance: In this cohort study, the CJR model was associated with increased receipt of elective hip or knee replacement among Hispanic beneficiaries, decreased receipt among Black beneficiaries, and no change in receipt among White beneficiaries. The decreased receipt of elective hip or knee replacement among Black beneficiaries may suggest that value-based payment models, including the CJR model, could be monitored for unintended consequences. However, the lack of similar findings among Hispanic beneficiaries suggests that payment models may have differential impacts across racial/ethnic groups.

Indexed as

Black or African AmericanHispanic or LatinoMedicareModels, EconomicReimbursement MechanismsWhite PeopleAgedAged, 80 and overArthroplasty, Replacement, HipArthroplasty, Replacement, KneeCohort StudiesElective Surgical ProceduresFemaleHealth ExpendituresHumansMale

Identifiers

PMID33749766
PMCPMC7985721
OpenAlexW3136583815

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.