Adaptation of clinical practice guidelines for medication prescription in the elderly to the design and the derivation of clinical alerts: a big data approach

Adaptation of clinical practice guidelines for medication prescription in the elderly to the design and the derivation of clinical alerts: a big data approach - IM-AGE

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

DRKS

Registry ID

DRKS00009533

Enrollment

154755

Registered

2016-01-21

Start date

2016-05-26

Completion date

Unknown

Last updated

2025-04-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Medication prescription errors in the elderly patients

Interventions

Group 1: The most cited clinical practice guidelines (CPG) for medication prescription in the elderly will be appraised using a tool: GLIA (The GuideLine Implementability Appraisal). This work will al

Eligibility

Sex/Gender

All

Age

65 Years to 115 Years

Inclusion criteria

Inclusion criteria: All patients recorded in the two targeted databases whom had 65 years old or over between 2011 and 2012

Exclusion criteria

Exclusion criteria: All patients under 65 years old

Design outcomes

Primary

Measure	Time frame
- Percentage of clinical guidelines recommendations which have the value “Y”, “N”, “?” and “N/A” after the GLIA appraiser process. - Percentage of clinical decision rules which can be derived from the set of recommendations with value “Y”	—

Secondary

Measure	Time frame
- 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 - 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 - 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	—

Measure

Time frame

- 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 - 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 - 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

—

Countries

France

Contacts

Public ContactAbdelali Boussadi

Assistance publique hôpitaux de Paris (APHP) / Hôpital Européen Georges Pompidou (HEGP) / Institut national de la santé et de la recherche médicale (INSERM)

abdelali.boussadi@aphp.fr+33156092030

Outcome results

None listed

Source: DRKS (via WHO ICTRP) · Data processed: Feb 4, 2026