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This study evaluates the impact of a structured interprofessional training program on daily collaboration within the Cardiac Intensive Care Unit (CICU/UTIC) at the University Hospital of Parma. In high-intensity clinical settings, rapid and accurate coordination between physicians, nurses, and healthcare assistants is vital. Ineffective teamwork often leads to communication breakdowns, potentially compromising patient safety and care quality. This project investigates whether an interactive, scenario-based educational program can strengthen role clarity, communication, and shared decision-making.
The study seeks to determine if an active-learning program using interactive branching scenarios improves interprofessional collaboration more effectively than traditional methods. The researchers hypothesize that this simulation-based approach will significantly enhance professional outcomes, including self-efficacy, shared decision-making, and commitment to both the team and the profession.
The study utilizes a convenience sample (approx. 5 physicians, 30 nurses, 8 healthcare assistants, and 10 students). Eligible participants include staff and students currently or recently active in the Parma CICU who provide informed consent.
The intervention is delivered via a Moodle-based platform featuring case-based simulations. These scenarios replicate complex clinical pathways, such as:
Cath-lab and Electrophysiology procedures.
Heart failure management.
TAVI (Transcatheter Aortic Valve Implantation) preparation.
As participants navigate these scenarios, they must make critical decisions and receive immediate feedback designed to reinforce collaborative best practices.
Data Collection and Timeline
Data is gathered at three intervals: T0 (Baseline), T1 (Post-training), and T2 (6-month follow-up). Validated questionnaires measure:
Attitudes toward physician-nurse collaboration.
Perceived daily collaboration and decision-making satisfaction.
Professional commitment and work-related self-efficacy.
The training phase spans six months, with a subsequent six-month follow-up, totaling a 24-month project duration.
Ethics and Privacy Risks are minimal, primarily involving the time required for participation. The primary benefit is the development of skills that foster safer, more coordinated patient care. Privacy is strictly maintained through pseudo-anonymization, with data access restricted to the research team.
Full description
Background and Rationale Interprofessional collaboration is critical for patient safety and organizational efficiency in high-complexity environments like the Cardiac Intensive Care Unit (CICU). Despite its importance, there is a lack of structured, transferable training models for daily clinical practice. Poor cooperation is linked to preventable adverse events and caregiver burnout. This study, promoted by the Azienda Ospedaliero-Universitaria di Parma, addresses this gap using an "action-research" approach integrated with digital tools for situated learning.
Study Design and Intervention This is a longitudinal, prospective study. The intervention consists of a specialized training program using interactive branching scenarios created with H5P software and hosted on a Moodle-based platform. These simulations replicate complex clinical situations across four key CICU pathways:
Hemodynamics. Electrophysiology. Heart Failure. TAVI (Transcatheter Aortic Valve Implantation) preparation. The program requires learners to make clinical and collaborative decisions, receiving immediate feedback to improve teamwork, role clarity, and communication.
Data Collection and Analysis The study evaluates outcomes at three specific intervals:
T0: Baseline (pre-intervention). T1: Post-intervention (immediately following training). T2: Follow-up at six months to evaluate sustainability Assessment tools include the Jefferson Scale of Attitudes Toward Physician-Nurse Collaborative Relationship (JSAPNC) , the Nurse-Physician Collaboration Scale (NPCS) , and the Maslach Burnout Inventory (MBI) for self-efficacy. Statistical evaluation will utilize Linear Mixed Models (LMM) to analyze longitudinal changes and individual trajectories.Ethics and Data Management The study follows a pseudo-anonymized data protocol, with access restricted to the research team. Participants provide written informed consent prior to enrollment. The project duration is estimated at 24 months.
The study is projected to commence on February 15, 2026.
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60 participants in 1 patient group
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Central trial contact
Santina Gavagni Principal Investigator; Alfonso Sollami Co - Investigator
Data sourced from clinicaltrials.gov
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