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

Emmert M, Rohrbacher S, Meier F, Heppe L, Drach C, Schindler A, Sander U, Patzelt C, Frömke C, Schöffski O, Lauerer M (2023)

Publication Type: Journal article

Publication year: 2023

Journal

European Journal of Health Economics Springer Verlag (Germany)

DOI: 10.1007/s10198-023-01650-2

Abstract

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.

Authors with CRIS profile

Laura Heppe Lehrstuhl für Betriebswirtschaftslehre, insbesondere Gesundheitsmanagement Cordula Drach Lehrstuhl für Betriebswirtschaftslehre, insbesondere Gesundheitsmanagement Oliver Schöffski Lehrstuhl für Betriebswirtschaftslehre, insbesondere Gesundheitsmanagement

Involved external institutions

Hochschule Hannover (HsH) / University of Applied Sciences Hannover DE Germany (DE) Universität Bayreuth DE Germany (DE) Wilhelm Löhe Hochschule DE Germany (DE)

How to cite

APA:

Emmert, M., Rohrbacher, S., Meier, F., Heppe, L., Drach, C., Schindler, A.,... Lauerer, M. (2023). The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments. European Journal of Health Economics. https://doi.org/10.1007/s10198-023-01650-2

MLA:

Emmert, Martin, et al. "The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments." European Journal of Health Economics (2023).

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