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The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments

  • Purpose: The calculation of aggregated composite measures is a widely used strategy to reduce the amount of data on hospital report cards. Therefore, this study aims to elicit and compare preferences of both patients as well as referring physicians regarding publicly available hospital quality information. Methods: Based on systematic literature reviews as well as qualitative analysis, two discrete choice experiments (DCEs) were applied to elicit patients’ and referring physicians’ preferences. The DCEs were conducted using a fractional factorial design. Statistical data analysis was performed using multinomial logit models. Results: Apart from five identical attributes, one specific attribute was identified for each study group, respectively. Overall, 322 patients (mean age 68.99) and 187 referring physicians (mean age 53.60) were included. Our models displayed significant coefficients for all attributes (p < 0.001 each). Among patients, “Postoperative complication rate” (20.6%; level range of 1.164) was rated highest, followed by “Mobility at hospital discharge” (19.9%; level range of 1.127), and ‘‘The number of cases treated” (18.5%; level range of 1.045). In contrast, referring physicians valued most the ‘‘One-year revision surgery rate’’ (30.4%; level range of 1.989), followed by “The number of cases treated” (21.0%; level range of 1.372), and “Postoperative complication rate” (17.2%; level range of 1.123). Conclusion: We determined considerable differences between both study groups when calculating the relative value of publicly available hospital quality information. This may have an impact when calculating aggregated composite measures based on consumer-based weighting.

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Author:Martin EmmertORCiD, Stefan Rohrbacher, Florian Meier, Laura Heppe, Cordula Drach, Anja Schindler, Uwe SanderORCiDGND, Christiane PatzeltORCiDGND, Cornelia FrömkeORCiDGND, Oliver Schöffski, Michael Lauerer
DOI original:https://doi.org/10.1007/s10198-023-01650-2
Parent Title (English):European Journal of Health Economics
Document Type:Article
Year of Completion:2023
Publishing Institution:Hochschule Hannover
Release Date:2024/01/15
Tag:Composite measures; Discrete choice experiment; Hospital choice; Hospital report cards; Public reporting
Page Number:15
Institutes:Fakultät III - Medien, Information und Design
DDC classes:610 Medizin, Gesundheit
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International