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

Based 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.

Authors

Institutions

Publication Details

Journal
BMC Health Services Research
Published
2025-02-18
DOI
https://doi.org/10.1186/s12913-025-12393-6
Primary Topic
Patient Satisfaction in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Stefan Rohrbacher, Martin Emmert
3 links
BMC Health Services Research
Patient Satisfaction in Healthcare
article

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

Stefan Rohrbacher, Martin Emmert
article en

Abstract

Based 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.

BMC Health Services ResearchVol. 25(1)
Health and Safety Authority (IE), University of Bayreuth (DE)
Openalex Percentile: Top 95%
Patient Satisfaction in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.