Evidence map›Paper›PMID 37052802›Full record

ReviewThe European journal of health economics : HEPAC : health economics in prevention and care2024

Referring physicians' intention to use hospital report cards for hospital referral purposes in the presence or absence of patient-reported outcomes: a randomized trial.

Martin Emmert, Anja Schindler, Laura Heppe, Uwe Sander, Christiane Patzelt, Michael Lauerer, Eckhard Nagel, Cornelia Frömke, Oliver Schöffski, Cordula Drach

Abstract readReview
In one paragraph

Review in The European journal of health economics : HEPAC : health economics in prevention and care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Martin EmmertFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Prieserstraße 2, 95444, Bayreuth, Germany. Martin.Emmert@uni-bayreuth.de.ORCID http://orcid.org/0000-0002-0154-6641
Anja SchindlerDepartment of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany.
Laura HeppeSchool of Business and Economics, Chair of Health Care Management, Friedrich-Alexander-University of Erlangen-Nuremberg, Lange Gasse 20, 90403, Nuremberg, Germany.
Uwe SanderDepartment of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany.
Christiane PatzeltDepartment of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany.
Michael LauererFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Prieserstraße 2, 95444, Bayreuth, Germany.
Eckhard NagelFaculty of Law, Business and Economics, Institute for Healthcare Management and Health Sciences, University of Bayreuth, Prieserstraße 2, 95444, Bayreuth, Germany.
Cornelia FrömkeDepartment of Information and Communication, Faculty for Media, Information and Design, University of Applied Sciences and Arts, Hannover, Germany.
Oliver SchöffskiSchool of Business and Economics, Chair of Health Care Management, Friedrich-Alexander-University of Erlangen-Nuremberg, Lange Gasse 20, 90403, Nuremberg, Germany.
Cordula DrachSchool of Business and Economics, Chair of Health Care Management, Friedrich-Alexander-University of Erlangen-Nuremberg, Lange Gasse 20, 90403, Nuremberg, Germany.

Funding

The German health care Innovation Fund 01VSF18034
6 · The paper itself

Abstract

purposeThis study aims to determine the intention to use hospital report cards (HRCs) for hospital referral purposes in the presence or absence of patient-reported outcomes (PROs) as well as to explore the relevance of publicly available hospital performance information from the perspective of referring physicians.

methodsWe identified the most relevant information for hospital referral purposes based on a literature review and qualitative research. Primary survey data were collected (May-June 2021) on a sample of 591 referring orthopedists in Germany and analyzed using structural equation modeling. Participating orthopedists were recruited using a sequential mixed-mode strategy and randomly allocated to work with HRCs in the presence (intervention) or absence (control) of PROs.

resultsOverall, 420 orthopedists (mean age 53.48, SD 8.04) were included in the analysis. The presence of PROs on HRCs was not associated with an increased intention to use HRCs (p = 0.316). Performance expectancy was shown to be the most important determinant for using HRCs (path coefficient: 0.387, p < .001). However, referring physicians have doubts as to whether HRCs can help them. We identified "complication rate" and "the number of cases treated" as most important for the hospital referral decision making; PROs were rated slightly less important.

conclusionsThis study underpins the purpose of HRCs, namely to support referring physicians in searching for a hospital. Nevertheless, only a minority would support the use of HRCs for the next hospital search in its current form. We showed that presenting relevant information on HRCs did not increase their use intention.

Indexed as

IntentionPhysiciansHospitalsHumansMiddle AgedRandomized Controlled Trials as TopicReferral and ConsultationSurveys and QuestionnairesHospital referralsHospital report cardsPatient-reported outcomesPublic reportingUTAUT

Identifiers

PMID37052802
PMCPMC10858825

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.