The KAEPacity Study Analyzes Hospital Emergency and Disaster Plans From Hospitals Across Germany to Evaluate How Well Hospitals Are Prepared for Crises and Disasters Organizational Structures Communication Leadership Training Are Examined Within These Plans No Medical Intervention is Performed
KAEPacity
KAEPacity - Eine Vergleichende Analyse Der Krankenhausalarm- Und Einsatzpläne (KAEP) Deutscher Krankenhäuser
1 other identifier
observational
319
1 country
1
Brief Summary
Hospital Emergency and Disaster Plans (Krankenhausalarm- und Einsatzplan-KAEP) are a central component of hospital preparedness in Germany. Despite national and international recommendations, considerable variability exists in structure, responsibilities, communication pathways, and training concepts across hospitals. This study aims to systematically analyze and compare KAEP documents from German hospitals using a structured qualitative and quantitative document analysis. The goal is to identify strengths, deficits, institutional influencing factors, and best-practice elements to support evidence-based improvements and harmonization of hospital emergency planning.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2026
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 28, 2026
CompletedFirst Posted
Study publicly available on registry
February 27, 2026
CompletedStudy Start
First participant enrolled
March 9, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
December 30, 2026
ExpectedMarch 11, 2026
March 1, 2026
5 months
January 28, 2026
March 9, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Maturity of Hospital Emergency Plans
Overall maturity of hospital emergency and disaster plans assessed using a predefined composite score. The score is calculated by aggregating four predefined domains (structure, operational processes, communication, training/exercises) each rated on a standardized 0-5 ordinal scale. Domain scores are summed to generate a single overall maturity score per hospital.
Baseline
Derivation of Practice-Oriented Recommendations
Identification of strengths, weaknesses, and improvement potential across hospitals.
through study completion, an average of 1 year
Secondary Outcomes (4)
Institutional Influencing Factors
through study completion, an average of 1 year
Training and Exercise Practices
Baseline
Best-Practice Elements
through study completion, an average of 1 year
Use of Digital or AI-Supported Components
Baseline
Eligibility Criteria
Hospitals in Germany with an existing documented Hospital Emergency and Disaster Plan (KAEP).
You may qualify if:
- German hospitals with a documented KAEP Institutional consent to provide KAEP documents for analysis
You may not qualify if:
- Hospitals declining participation Specialized facilities without emergency or acute care services (e.g., rehabilitation clinics)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Lea Kölschlead
- University Hospital Heidelberg Department of Crisis and Disaster Managementcollaborator
- Prof. Erik Popp - Head, Department of Crisis and Disaster Managementcollaborator
- Prof. Markus Ries - Head of Research, Department of Crisis and Disaster Managementcollaborator
- Hanne Schäfer - Head of Operational KAEP, Department of Crisis and Disaster Managementcollaborator
- PD Dr. med. Fabian Weykamp - Senior Physician, Department of Radiotherapycollaborator
- Dr. med. Maik von der Forst - Deputy Head, Department of Crisis and Disaster Managementcollaborator
Study Sites (1)
Stabsstelle Krisen- und Katastrophenmanagement
Heidelberg, 69120, Germany
Related Publications (19)
Mayring, P. (2014). Qualitative content analysis: theoretical foundation, basic procedures and software solution. Social Science Open Access Repository (GESIS - Leibniz Institute for the Social Sciences), 143. http://www.ssoar.info/ssoar/handle/document/39517
BACKGROUNDWurmb, T., Kurz, S., Schwarzmann, G., Trautner, H., Kinstle, U., Wagenhäuser, U., Koch, F., Münch, M., Meybohm, P., & Kippnich, M. (2024). Application of quality indicators and critical lessons learned assessment as a research approach for the evaluation of rescue missions during terrorist attacks. Scientific Reports, 14(1), 25087. https://doi.org/10.1038/s41598-024-7626
RESULTWas sind Kritische Infrastrukturen? (n.d.). Bundesamt Für Sicherheit in Der Informationstechnik. Retrieved November 20, 2025, from https://www.bsi.bund.de/dok/kritis-allgemein
RESULTWalcher, F., Ramshorn-Zimmer, A., Janssens, U., Hoffmann, F., Werdehausen, R., & Wurmb, T. (2025). 10 Punkte zur Verbesserung der Notfall- und Katastrophenversorgung im deutschen Gesundheitswesen. Notarzt, 41(02), 76-79. https://doi.org/10.1055/a-2549-8964
RESULTVon Der Forst, M., Popp, E., Weigand, M. A., & Neuhaus, C. (2023). Sonderlagen und Gefahrenabwehr in deutschen Krankenhäusern - eine Umfrage zum Ist-Zustand. Die Anaesthesiologie, 72(11), 784-790. https://doi.org/10.1007/s00101-023-01349-2
RESULTVon Der Forst, M., Germann, B. J., Schaefer, H., Salg, G. A., Weigand, M. A., Schmitt, F. C., Dietrich, M., Mohr, S., Küllenberg, J., Ries, M., & Popp, E. (2025). Impact of a full-scale mass casualty exercise on hospital staff and implications for future preparedness - A pre-post study. Progress in Disaster Science, 28, 100478. https://doi.org/10.1016/j.pdisas.2025.100478
RESULTVon Der Forst, M., Dietrich, M., Schmitt, F. C. F., Popp, E., & Ries, M. (2025). Perennial disaster patterns in Central Europe since 2000 and implications for hospital preparedness planning - a cross-sectional analysis. Scientific Reports, 15(1), 620. https://doi.org/10.1038/s41598-024-84223-4
RESULTSpeicher, C., Wurmb, T., Schwarzmann, G., Zech, C., Jansen, H., Weismann, D., Anger, F., Paul, M., Münch, A., Ohr, M., Meybohm, P., & Kippnich, M. (2024). Evaluation der Krankenhausalarm- und -einsatzplanung anhand einer Übung eines Massenanfalls von Verletzten. Die Anaesthesiologie, 73(12), 810-818. https://doi.org/10.1007/s00101-024-01475-5
RESULTSorensen, B. S., Zane, R. D., Wante, B. E., Rao, M. B., Bortolin, M., Brigham and Women's Hospital, Harvard Humanitarian Initiative, Harvard Medical School, Rockenschaub, G., & WHO Regional Office for Europe. (2011). Hospital emergency response checklist. In Hospital emergency response checklist (p. 6). https://www.who.int/docs/default-source/documents/publications/hospital-emergency-response-checklist.pdf
RESULTSchulz, M., Oestmann, J., & Schütz, T. (2023). Resilienz deutscher Kliniken in Amok- und Terrorlagen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 66(10), 1146-1152. https://doi.org/10.1007/s00103-023-03752-x
RESULTSchorscher, N., Kippnich, M., Meybohm, P., & Wurmb, T. (2022). Lessons learned from terror attacks: thematic priorities and development since 2001-results from a systematic review. European Journal of Trauma and Emergency Surgery, 48(4), 2613-2638. https://doi.org/10.1007/s00068-021-01858-y
RESULTRohde, A., Schmidbauer, W., Didion, N., Ritter, D., Demare, T., & Jänig, C. (2024). Medizinische Herausforderungen in der Starkregenkatastrophe im Ahrtal 2021. Notfall + Rettungsmedizin, 28(1), 1-8. https://doi.org/10.1007/s10049-024-01428-w
RESULTRamshorn-Zimmer, A., Wurmb, T., Walcher, F., Werdehausen, R., Grashey, R., Drewitz, K., & Brod, T. (2025). Status quo der Krankenhausalarm- und -einsatzplanung in Deutschland. Notfall + Rettungsmedizin, 28(5), 344-351. https://doi.org/10.1007/s10049-025-01578-5
RESULTKünstliche Intelligenz im Krankenhaus - Fraunhofer IAIS. (n.d.). Fraunhofer-Institut Für Intelligente Analyse- Und Informationssysteme IAIS. https://www.iais.fraunhofer.de/de/publikationen/studien/2020/lotte.html
RESULTImach, S., Lefering, R., Kölbel, B., Wolf, M., Hackenberg, L., & Bieler, D. (2024). Nutzung von Registern zur Schaffung eines evidenzbasierten Vorgehens im Katastrophen- und Zivilschutzfall. Die Unfallchirurgie, 127(12), 855-860. https://doi.org/10.1007/s00113-024-01487-1
RESULTFranke, A., Tralls, P., Wurmb, T., & Heller, A. R. (2025). Rahmenbedingungen und Grundannahmen bei der Erstellung der Leitlinie Klinische Katastrophen Medizin Deutschland (LeiKliKatMeD). Die Unfallchirurgie, 128(9), 645-653. https://doi.org/10.1007/s00113-025-01608-4
RESULTCoffey, A. (2014). Analysing Documents. In Types of Documents and their analysis (pp. 367-379). https://doi.org/10.4135/9781446282243.n25
RESULTBundesamt für Bevölkerungsschutz und Katastrophenhilfe (BBK), Kowalzik, B., Hähn, F., Helmerichs, J., Stolzenburg, K., Weber, M., Rebuck, J., Degenhardt, L., Braubach, A., Scholtes, K., Wurmb, T., Kolibay, F., Franke, A., Tralls, P., Lücking, G., Jung, H. G., Lampe, I., Scheidmantel, S., Gottschalk, A., . . . Eberl, S. (2020). Handbuch Krankenhausalarm- und -einsatzplanung (KAEP). https://www.bbk.bund.de/SharedDocs/Downloads/DE/Mediathek/Publikationen/Gesundheit/KAEP/handbuch-kaep.pdf?__blob=publicationFile&v=15
RESULTAchatz, G., Bieler, D., Schweigkofler, U., Hoefer, C., Lehmann, W., & Franke, A. (2024). Berücksichtigung und Umsetzung der Elemente der Krankenhausalarm- und Einsatzplanung in den Kliniken der TraumaNetzwerke DGU®. Die Unfallchirurgie, 127(12), 867-877. https://doi.org/10.1007/s00113-024-01494-2
RESULT
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Doctoral Researcher
Study Record Dates
First Submitted
January 28, 2026
First Posted
February 27, 2026
Study Start
March 9, 2026
Primary Completion
July 30, 2026
Study Completion (Estimated)
December 30, 2026
Last Updated
March 11, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will not share
Only aggregated, anonymized results will be published. No individual hospital data will be shared.