Welche Faktoren beeinflussen die Einweisungsentscheidung von niedergelassenen Ärzten in der Praxis?

Konrad, Sonja Čotar; Raab, Andrea

doi:10.1055/s-0034-1365968

Gesundh ökon Qual manag

2014

DOI: 10.1055/s-0034-1365968

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Welche Faktoren beeinflussen die Einweisungsentscheidung von niedergelassenen Ärzten in der Praxis?

Sonja Čotar Konrad¹,

Andrea Raab²

Abstract: Zusammenfassung Zielsetzung: Der vorliegende Artikel befasst sich mit der ?berpr?fung m?glicher Zusammenh?nge zwischen arztbezogenen bzw. patientenbezogenen Merkmalen und dem Einweisungsverhalten von niedergelassenen ?rzten mittels statistischer Verfahren. Methodik: Generierung von SQL-Abfragen pro These auf der Basis der bereitgestellten und aufbereiteten Datenquellen (??21 KHEntG und Einweiserdaten) der neun teilnehmenden Krankenh?user am Pilotprojekt ?Einweiser-Benchmarking 2013?. Anschlie?ender Import de… Show more

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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

Emmert,

Rohrbacher,

Meier

et al. 2023

Eur J Health Econ

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

Emmert,

Rohrbacher,

Meier

et al. 2023

Eur J Health Econ

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show abstract

Do German public reporting websites provide information that office-based physicians consider before referring patients to hospital? A four-step analysis

Kolb

Emmert

Sander

et al. 2018

Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheit

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Welche Faktoren beeinflussen die Einweisungsentscheidung von niedergelassenen Ärzten in der Praxis?

Cited by 2 publications

References 1 publication

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

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

Do German public reporting websites provide information that office-based physicians consider before referring patients to hospital? A four-step analysis

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