DV 100 as a Framework for the Hospital Incident Command System
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorUniversity Hospital Heidelberg
About this trial
There is limited scientific research on the organizational structure of the Hospital Incident Command System. The Hospital Alarm and Emergency Planning manual by the German Federal Office of Civil Protection and Disaster Assistance (BBK) recommends a continental staff system-based organization, as outlined in the Service Regulation DV 100, similar to military, fire, and police structures. This approach is frequently discussed at professional conferences, but evidence on its functionality in hospitals is lacking. This study aims to generate new insights into the use of a continental staff system-based Hospital Incident Command System and qualitatively analyze transition and communication processes within the command structure.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Participation in at least one hospital incident command system (ICS) training and, if applicable, in a ICS exercise.
Disqualifiers
Decline of study participation
Trial population
The study population comprises all Heidelberg University Hospital staff potentially involved in the hospital incident command system
Trial design
Design model
Cohort
Time perspective
Cross-sectional
Treatments tested in this trial
No interventions.
Other interventionThis is an observational study with no interventions.
Treatment groups
20 Participants
are divided into 1 treatment groupGroup A: University Hospital Heidelberg staff eligible for deployment in the hospital incident command system1 intervention
Trial outcomes
Primary outcomes
1
Exploration of leadership communication and dynamics during the transition from routine clinical operations to an emergency situation
Assessed through semi-structured interviews based on Grounded Theory, a systematic method for developing theories through the analysis of qualitative data
Time frame
During the table-top exercise on May 26 and May 27, 2025.2
Assessment of training and exercise effects within a structured (according to DV-100) hospital incident command system, including challenges, resistance, benefits, subjective participant experiences, potential improvements, and alternatives
Assessed through semi-structured interviews based on Grounded Theory, a systematic method for developing theories through the analysis of qualitative data
Time frame
During the table-top exercise on May 26 and May 27, 2025.Secondary outcomes
1
Examination of the applicability of the traditional incident command concept in hospitals, considering a workforce largely inexperienced in continental staff system-based work.
Assessed through semi-structured interviews based on Grounded Theory, a systematic method for developing theories through the analysis of qualitative data
Time frame
During the table-top exercise on May 26 and May 27, 2025.2
Evaluation of participants' operational confidence
Assessed through semi-structured interviews based on Grounded Theory, a systematic method for developing theories through the analysis of qualitative data
Time frame
During the table-top exercise on May 26 and May 27, 2025.3
Analysis of communication behaviors within the command functions
Assessed through semi-structured interviews based on Grounded Theory, a systematic method for developing theories through the analysis of qualitative data
Time frame
During the table-top exercise on May 26 and May 27, 2025.4
Assessment of the advantages and disadvantages of a structured hospital incident command system
Assessed through semi-structured interviews based on Grounded Theory, a systematic method for developing theories through the analysis of qualitative data
Time frame
During the table-top exercise on May 26 and May 27, 2025.Sponsors and contacts
Click on the lead sponsor to view all of their trials.
University Hospital Heidelberg
Lead sponsor
Prof. Erik Popp, MD
Collaborator
Prof. Markus Ries, MD, PhD, MHSc, MA, FCP, FIBODM
Collaborator
Janna Küllenberg, PhD
Collaborator
Kirsten Bikowski
Collaborator
Hanne Schäfer, RN, BS, MS
Collaborator
Source ClinicalTrials.gov