Evidence map›Paper›PMID 38317707›Full record

ArticleArthroplasty today2024

Examining the Relationship Between Value and Patient Satisfaction With Treatment in Total Joint Arthroplasty.

Mackenzie B Norman, Paul M Werth, Benjamin A Levy, Wayne E Moschetti, Samuel T Kunkel, David S Jevsevar

Abstract read
In one paragraph

Article in Arthroplasty today, 2024. 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

6 authors.

Mackenzie B NormanDartmouth Geisel School of Medicine, Hanover, NH, USA.
Paul M WerthDartmouth Geisel School of Medicine, Hanover, NH, USA.
Benjamin A LevyDartmouth Geisel School of Medicine, Hanover, NH, USA.
Wayne E MoschettiDartmouth Geisel School of Medicine, Hanover, NH, USA.
Samuel T KunkelDartmouth Geisel School of Medicine, Hanover, NH, USA.
David S JevsevarDartmouth Geisel School of Medicine, Hanover, NH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A shift toward performance, cost, outcomes, and patient satisfaction has occurred with healthcare reform promoting value-based programs. The purpose of this study was to evaluate the relationship between patient satisfaction and value with treatment in a cohort of patients undergoing total knee arthroplasty (TKA) and total hip arthroplasty (THA). Methods: Value was determined by the relationship of treatment outcome with episodic cost. Measurements included both clinical outcomes and patient-reported outcomes. Participating surgeons took part in the modified Delphi method resulting in an algorithm measuring patient value. Treatment outcome, cost, and resultant value (outcome/cost) of both TKA and THA were evaluated using binomial logistic regression by adjusting for age, gender, body mass index, Charlson comorbidity index, tobacco, education, and income with patient-reported satisfaction as the outcome. Results: This study had a total of 909 patients (TKA n = 438; THA n = 471), with an average age of 67 (TKA) and 65 (THA) years. Patient satisfaction shared a significant positive relationship with treatment outcome for TKA (odds ratio [OR] = 1.53, confidence interval [CI] = 1.35-1.73, Conclusions: This study showed a positive relationship between treatment outcome but not cost with subsequent value and patient satisfaction. This method provides a promising approach to comprehensively evaluate outcomes, cost, and value of total joint arthroplasty procedures. This approach can help predict the probability of value-driven patient satisfaction.

Indexed as

ArthroplastyHipJointKneeSatisfactionValue

Identifiers

PMID38317707
PMCPMC10839615

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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.