Evidence map›Paper›PMID 40780714›Full record

ArticleBMJ open2025

Hospital discharge planning in cardiac care: study protocol for a mixed-methods study on the implementation, influencing factors and quality of care in Germany.

Lena Imhof, Raphaele Bartels, Karl Blum, Kai Svane Blume, Steffen Fleischer, Susan Gottschalk, Robin Heber, Dirk Horenkamp-Sonntag, Gabriele Meyer, Bjoern Andrew Remppis and 3 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. 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

13 authors.

Lena ImhofHamburg Center for Health Economics, University of Hamburg, Hamburg, Germany.
Raphaele BartelsSchumpeter School of Business and Economics, University of Wuppertal, Wuppertal, Germany.
Karl BlumGerman Hospital Institute (DKI), Düsseldorf, Germany.
Kai Svane BlumeSchumpeter School of Business and Economics, University of Wuppertal, Wuppertal, Germany.ORCID http://orcid.org/0000-0001-7355-4600
Steffen FleischerInstitute of Health and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany.
Susan GottschalkInstitute of Health and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany.
Robin HeberGerman Hospital Institute (DKI), Düsseldorf, Germany.
Dirk Horenkamp-SonntagTechniker Krankenkasse, Hamburg, Germany.
Gabriele MeyerInstitute of Health and Nursing Science, Medical Faculty of Martin Luther University Halle-Wittenberg, University Medicine Halle, Halle (Saale), Germany.
Bjoern Andrew RemppisHerz- und Gefäßzentrum Bad Bevensen, Bad Bevensen, Germany.
Udo SchneiderTechniker Krankenkasse, Hamburg, Germany.
Jonas SchreyoeggHamburg Center for Health Economics, University of Hamburg, Hamburg, Germany.
Vera WinterSchumpeter School of Business and Economics, University of Wuppertal, Wuppertal, Germany winter@wiwi.uni-wuppertal.de.ORCID http://orcid.org/0000-0001-7087-2400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDischarge planning (DP) is essential to ensure continuity of care during patient transitions between inpatient and outpatient settings. Although DP has been legally required for all hospitals in Germany since 2017, several studies show considerable variation in its implementation, likely due to differences in structural characteristics and organisational processes. Both quality and efficiency-enhancing DP processes are particularly important in the context of cardiovascular disease, which is the leading cause of mortality and a major contributor to healthcare costs in Germany. The 'Ready to Discharge' (R2D) project investigates the implementation status, influencing factors and outcomes of DP in cardiac units of German hospitals. By integrating quantitative and qualitative data, we aim to identify best practices and provide actionable recommendations for improving DP processes. METHODS AND ANALYSIS: A mixed-methods study design will be used. Quantitative analyses will be based on primary data from hospital and patient surveys combined with secondary data from health insurance claims and hospital quality reports. Key outcome measures will include healthcare utilisation outcomes (eg, readmissions, emergency department visits), patient health status outcomes (eg, patient satisfaction, self-rated health) and medication-related outcomes (eg, medication adherence). Qualitative interviews with healthcare professionals will enrich the findings by providing insights into barriers and facilitators to DP. ETHICS AND DISSEMINATION: This study was approved by the Ethics Committee of Bergische University of Wuppertal and the German Federal Office for Social Security. Informed consent will be obtained for all primary data collections. Hospital managing directors will be informed prior to the hospital survey and will be able to withdraw consent. Patients can withdraw their consent at any time. Secondary data will be analysed in pseudonymised form to ensure patient confidentiality. Results will be disseminated through workshops, regional and international conferences and peer-reviewed publications.

Indexed as

Cardiovascular DiseasesContinuity of Patient CarePatient DischargeQuality of Health CareGermanyHumansPatient SatisfactionResearch DesignCardiovascular DiseaseHospital to Home TransitionOrganisation of health servicesProtocols & guidelines

Identifiers

PMID40780714
PMCPMC12336518

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Registered trials

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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.