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Automatic Feedback Indicator to Enhance the Hospital Discharge Communication Between Acute Care and Primary Care.

NCT06835153 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 132000

Last updated 2025-02-19

No results posted yet for this study

Summary

This study, titled "Automated Indicator Feedback for Improving the Quality of Discharge Letters: A Cluster-Randomized Controlled Trial" (FIAQ-LS), aims to evaluate whether continuous real-time feedback to hospital teams can improve the quality of discharge letters. Discharge letters are critical for ensuring continuity of care and reducing adverse events by providing detailed information about a patient's hospital stay to both the patient and their primary care physician.

The study will be conducted at Grenoble Alpes University Hospital and involve 40 hospital services across three campuses. The trial design includes two parallel arms: an intervention group receiving monthly performance feedback through automated dashboards and a control group with no additional intervention. Services are randomized into these groups using a stratified cluster approach.

The primary objective is to assess whether this intervention increases the proportion of discharge letters validated on the day of discharge compared to usual care. Secondary objectives include evaluating patient satisfaction, rates of unplanned 30-day readmissions, and completeness of discharge letter content.

The study will include data from approximately 132,000 patient stays over two phases: a pre-implementation observational period (12 months) and an intervention phase (12 months). All data will be collected and analyzed anonymously, with findings expected to inform the broader implementation of quality improvement strategies in French hospitals.

Conditions

  • Continuity of Care
  • Patient Safety
  • Hospital Discharge Communication Processes
  • Communication
  • Quality Indicators, Health Care
  • Electronic Health Records

Interventions

OTHER

Monthly Performance Feedback with Dashboards (Automated Audit and Feedback)

Hospital services in the intervention group will receive monthly automated dashboards that provide detailed performance metrics. These include: The proportion of patients with a discharge letter generated on the day of discharge, The proportion of discharge letters validated on the day of discharge, Median delays for generating discharge letters, Median delays for validating discharge letters. The dashboards are shared with all physicians, nurse managers, and secretarial staff in each service. A designated quality improvement officer is available to assist teams in interpreting the data and implementing organizational changes based on the feedback. The intervention uses real-time data extraction from the hospital's electronic health record system to generate these insights.

Sponsors & Collaborators

  • University Hospital, Grenoble

    lead OTHER

Principal Investigators

  • Bastien Boussat, MD PhD · Grenoble Alps University, Faculty of Medicine.

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-03-01
Primary Completion
2026-02-01
Completion
2026-02-01

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06835153 on ClinicalTrials.gov