Evidence map›Paper›PMID 30186921›Full record

ArticleArthroplasty today2018

Medicaid is associated with increased readmission and resource utilization after primary total knee arthroplasty: a propensity score-matched analysis.

David Shau, Neeta Shenvi, Kirk Easley, Melissa Smith, George Guild

Abstract read
In one paragraph

Article in Arthroplasty today, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

David ShauEmory University Department of Orthopaedic Surgery, Atlanta, GA, USA.
Neeta ShenviEmory University Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Atlanta, GA, USA.
Kirk EasleyEmory University Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Atlanta, GA, USA.
Melissa SmithEmory University Department of Orthopaedic Surgery, Atlanta, GA, USA.
George GuildEmory University Department of Orthopaedic Surgery, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedicaid payer status has been shown to affect resource utilization across multiple medical specialties. There is no large database assessment of Medicaid and resource utilization in primary total knee arthroplasty (TKA), which this study sets out to achieve.

methodsThe Nationwide Readmissions Database was used to identify patients who underwent TKA in 2013 and corresponding "Medicaid" or "non-Medicaid" payer statuses. Demographics, 15 individual comorbidities, readmission rates, length of stay, and direct cost were evaluated. A propensity score-based matching model was then used to control for baseline confounding variables between payer groups. A chi-square test for paired proportions was used to compare readmission rates between the 2 groups. Length of stay and direct cost comparisons were evaluated using the Wilcoxon signed-rank test.

resultsA total of 8372 Medicaid and 268,261 non-Medicaid TKA patients were identified from the 2013 Nationwide Readmissions Database. A propensity score was estimated for each patient based on the baseline demographics, and 8372 non-Medicaid patients were propensity score matched to the 8372 Medicaid patients. Medicaid payer status yielded a statistically significant increase in overall readmission rates of 18.4% vs 14.0% (

conclusionsThis study demonstrates that Medicaid payer status is independently associated with increased resource utilization, including readmission rates, length of stay, and total cost after TKA.

Indexed as

Insurance statusMedicaidPrimary total knee arthroplastyReadmissionResource utilization

Identifiers

PMID30186921
PMCPMC6123235

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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.