Emergency and Urgent Care Indicators in Piedmont
ConditionEmergency Departments
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorMario Negri Institute for Pharmacological Research
About this trial
The Emergency Department represents the main entry point to the hospital and a key setting for the management of urgent healthcare needs in the population. To date, the assessment of care quality has mainly focused on organizational aspects, with limited structured tools to systematically measure clinical and care processes.
Overcrowding and limited resources make dedicated data collection unsustainable; therefore, it is necessary to rely on data already available from routine healthcare information systems. In this context, the study aims to assess the feasibility of using these data to construct quality indicators, as well as to evaluate their availability and reliability across participating centers.
The study will also analyze variability in indicators among participating Emergency Departments, with the goal of identifying differences in care processes and potential areas for improvement.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Adult patients (age >18 years) who presented to the participating Emergency Departments between 1/1/2023 and 31/12/2025.
Disqualifiers
All patients under 18 years.
Trial population
Adult patients aged 18 years and older presenting to participating Emergency Departments during the period from 1 January 2023 to 31 December 2025.
Trial design
Design model
Cohort
Time perspective
Retrospective
Treatments tested in this trial
Not listed
Trial groups
650,000 Participants
are grouped into 1 trial groupGroup A: Eligible population
Trial outcomes
Primary outcomes
1
To verify the availability and reliability of data for the construction of indicators on the quality of care in Emergency Departments (EDs) in the hospital databases of the participating centers.
Data availability for calculating quality-of-care indicators in emergency departments will be assessed without statistical analyses. Data reliability will be evaluated by a multidisciplinary working group (statisticians, emergency physicians, nurses, and hospital information/management staff), considering clinical relevance, missing or incomplete data, and internal consistency. This approach will document potential limitations in data quality across participating hospital databases.
Time frame
July 2026 - November 20262
Rate of adherence to quality-of-care indicators per participating emergency department
Quality-of-care indicators will be calculated and, for each of them, 95% confidence intervals will be reported to quantify estimation uncertainty. Differences across participating emergency departments will be assessed using descriptive statistics (means, standard deviations, medians, interquartile ranges, boxplots, and histograms) and inferential tests appropriate to the indicator type: ANOVA and Kruskal-Wallis tests for quantitative indicators, and proportion difference tests for indicators expressed as percentages.
Time frame
April 2027 - July 20273
Change in quality-of-care indicator rates over the three-year study period
Temporal trends in quality-of-care indicators will be analyzed across the three-year data collection period (2023-2025) to quantify variations observed over time within and across participating emergency departments.
Time frame
December 2026 - March 20274
Proportion of patients managed in accordance with predefined quality-of-care indicators per participating emergency department
Quality-of-care indicators will be calculated according to predefined criteria, with 95% confidence intervals to quantify estimation uncertainty. Variability across participating emergency departments will be assessed using descriptive methods (means, standard deviations, medians, interquartile ranges, boxplots, and histograms) and inferential statistics, including ANOVA, Kruskal-Wallis tests, and proportion tests as appropriate. Temporal trends over the three-year study period will be analyzed. A retrospective application of the methodology will be performed to evaluate potential improvement signals under continuous monitoring conditions.
Time frame
December 2026 - March 2027Sponsors and contacts
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Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: