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Emmert M, Rohrbacher S, Meier F, Heppe L, Drach C, Schindler A, Sander U, Patzelt C, Frömke C, Schöffski O, Lauerer M. The elicitation of patient and physician preferences for calculating consumer-based composite measures on hospital report cards: results of two discrete choice experiments. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2024; 25:1071-1085. [PMID: 38102524 PMCID: PMC11283427 DOI: 10.1007/s10198-023-01650-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 11/14/2023] [Indexed: 12/17/2023]
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.
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Affiliation(s)
- Martin Emmert
- Faculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Prieserstraße 2, 95444, Bayreuth, Germany.
| | - Stefan Rohrbacher
- Faculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Prieserstraße 2, 95444, Bayreuth, Germany
| | - Florian Meier
- Department of Management and Economics, SRH Wilhelm Löhe University of Applied Sciences, 90763, Fürth, Germany
| | - Laura Heppe
- School of Business and Economics, Chair of Health Care Management, Friedrich-Alexander-University of Erlangen-Nuremberg, Lange Gasse 20, 90403, Nuremberg, Germany
| | - Cordula Drach
- School of Business and Economics, Chair of Health Care Management, Friedrich-Alexander-University of Erlangen-Nuremberg, Lange Gasse 20, 90403, Nuremberg, Germany
| | - Anja Schindler
- Department of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany
| | - Uwe Sander
- Department of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany
| | - Christiane Patzelt
- Department of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany
| | - Cornelia Frömke
- Department of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany
| | - Oliver Schöffski
- School of Business and Economics, Chair of Health Care Management, Friedrich-Alexander-University of Erlangen-Nuremberg, Lange Gasse 20, 90403, Nuremberg, Germany
| | - Michael Lauerer
- Faculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Prieserstraße 2, 95444, Bayreuth, Germany
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