Adaptation of clinical practice guidelines for medication prescription in the elderly to the design and the derivation of clinical alerts: a big data approach
Recruiting
- Conditions
- Medication prescription errors in the elderly patients
- Registration Number
- DRKS00009533
- Lead Sponsor
- Assistance publique hôpitaux de Paris (APHP) / Hôpital Européen Georges Pompidou (HEGP) / Institut national de la santé et de la recherche médicale (INSERM)
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 154755
Inclusion Criteria
All patients recorded in the two targeted databases whom had 65 years old or over between 2011 and 2012
Exclusion Criteria
All patients under 65 years old
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method - Percentage of clinical guidelines recommendations which have the value Y”, N”, ?” and N/A” after the GLIA appraiser process.<br><br>- Percentage of clinical decision rules which can be derived from the set of recommendations with value Y”<br><br>
- Secondary Outcome Measures
Name Time Method - The rate of inappropriate medication prescriptions identified in the EGB and the HEGP CDW data base using the rules derived from the Beer’s clinical guideline<br><br>- The rate of inappropriate medication prescriptions identified in the EGB and the HEGP CDW data base using the rules derived from the ACOVE clinical guideline<br><br>- The rate of inappropriate medication prescriptions identified in the EGB and the HEGP CDW data base using the rules derived from the STOPP & START clinical guideline