Evidence map›Paper›PMID 39966922›Full record

ArticleBMC health services research2025

The elicitation of patient preferences for hip replacement surgery: a discrete choice experiment.

Stefan Rohrbacher, Martin Emmert

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

2 authors.

Stefan RohrbacherInstitute for Health Care Management and Health Sciences, University of Bayreuth, Prieserstrasse 2, Bayreuth, 95444, Germany. stefan.rohrbacher@uni-bayreuth.de.
Martin EmmertInstitute for Health Care Management and Health Sciences, University of Bayreuth, Prieserstrasse 2, Bayreuth, 95444, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe calculation of aggregated composite measures is a widely used approach to reduce the amount of quality-related data on hospital report cards (HRCs). This study aims to elicit patient preferences for hospital choice concerning publicly available hospital quality information for total hip replacement surgery. The results may assist in the development of weighted composite measures for elective hip replacement, which facilitates a conscious selection of the hospital.

methodsWe collect primary survey data on a sample of 364 randomly selected users of the German HRC "Weisse Liste" (WL) (4/5 2023). The key attributes for hospital choice are based on the information provided in WL. We run various model specifications to identify patient preferences, allowing the analysis of unobserved preference heterogeneity.

resultsOur sample consists of 177 respondents (mean age 56.46; 43.5% female). All attributes used are statistically significant for hospital choice (

conclusionBased on our findings, HRC users value publicly available hospital quality information for elective hip replacement differently. These differences should be taken into account when calculating aggregated composite measures. Our results may allow the calculation of a weighted aggregate composite measure from the perspective of HRC users.

Indexed as

Arthroplasty, Replacement, HipChoice BehaviorHospitalsPatient PreferenceAdultAgedFemaleGermanyHumansMaleMiddle AgedSurveys and QuestionnairesComposite measuresDiscrete choice experimentHospital choiceHospital report cardsPatient preferencesPublic reporting

Identifiers

PMID39966922
PMCPMC11834257

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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.