Quality Indicators, Health Care

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Review clinical trials related to Quality Indicators, Health Care. Use filters to narrow results by trial status, phase, treatment, biological sex and sponsor.

Condition / disease
Location
Status: Not yet recruiting

Quality Indicators in Obstetrics

The study examines whether midwives and doctors are familiar with quality indicators in clinical obstetrics and whether these are used as a tool for continuous improvement process.

Participants needed: 150
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Martin-Luther-Universität Halle-WittenbergUpdated: Sep 5, 2025
Eligibility criteria

18 years and older [+1]

nurse in clinical obstetrics [+1]

Status: Not yet recruiting

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

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.

Participants needed: 132,000
Trial details
Biological sex: AllType: InterventionalSponsor: University Hospital, GrenobleUpdated: Feb 19, 2025Locations: 1
Eligibility criteria

Patients hospitalized for at least 24 hours in participating services. [+1]

Patients hospitalized for less than 24 hours. [+2]

Status: Recruiting

Artificial Intelligence in Colonoscopy

Colorectal cancer is the second most common malignancy in the countries of the European Union. Colonoscopy is the primary method for detecting and preventing the development of colorectal cancer is endoscopic examination. This study aims to evaluate the impact of artificial intelligence on the detection rate of polyps and early stages of colorectal cancer.

Participants needed: 630
Trial details
Age: 50-65Biological sex: AllType: InterventionalSponsor: Jagiellonian UniversityUpdated: Jan 22, 2025Locations: 2
Eligibility criteria

Consent to participate in the study, [+2]

Previous colonoscopy, [+7]