Evidence map›Paper›PMID 30882052›Full record

ArticleJB & JS open access2018

Characterizing Patient Preferences Surrounding Total Knee Arthroplasty.

John M Reuter, Carolyn A Hutyra, Cary S Politzer, Christopher C Calixte, Daniel J Scott, David E Attarian, Richard C Mather

Abstract read
In one paragraph

Article in JB & JS open access, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

John M ReuterUniversity of Rochester School of Medicine and Dentistry, Rochester, New York.
Carolyn A HutyraDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.
Cary S PolitzerDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.
Christopher C CalixteDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.
Daniel J ScottDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.
David E AttarianDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.
Richard C MatherDepartment of Orthopaedic Surgery, Duke University School of Medicine, Durham, North Carolina.

Funding

Duke CTSA (Composite)TL1TR001116 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, KRAFT, MONICA · 2013 to 2017
$1.2M
NCATS NIH HHS TL1 TR001116
6 · The paper itself

Abstract

backgroundEpisode-based bundled payments for total knee arthroplasty emphasize cost-effective patient-centered care. Understanding patients' perceptions of components of the total knee arthroplasty care episode is critical to achieving this care. This study investigated patient preferences for components of the total knee arthroplasty care episode.

methodsBest-worst scaling was used to analyze patient preferences for components of the total knee arthroplasty care episode. Participants were selected from patients presenting to 2 orthopaedic clinics with chronic knee pain. They were presented with descriptions of 17 attributes before completing a best-worst scaling exercise. Attribute importance was determined using hierarchical Bayesian estimation. Latent class analysis was used to evaluate varying preference profiles.

resultsOne hundred and seventy-four patients completed the survey, and 117 patients (67%) were female. The mean age was 62.71 years. Participants placed the highest value on surgeon factors, including level of experience, satisfaction rating, and complication rates. Latent class analysis provided a 4-segment model of the population.

conclusionsThis study demonstrated differences in patient preferences for the components of a total knee arthroplasty care episode and characterized distinct preference profiles among patient subsets. Stakeholders can use this information to focus efforts and policy on high-value components and to potentially create customized bundles guided by preference profiles. CLINICAL RELEVANCE: This study is clinically relevant because the patient preferences identified here may help providers to design customized bundles for total knee arthroplasty care.

Identifiers

PMID30882052
PMCPMC6400515

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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.