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SCORE of Medication Error in Internal Medecin Unit

Developpemment of a Score to Assess Risk of Medication Errors in Internal Medecin Unit

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03422484
Acronym
SCOREME
Enrollment
1957
Registered
2018-02-05
Start date
2012-05-01
Completion date
2018-01-01
Last updated
2018-04-24

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

Conditions

Patient Hospitalized in Internal Medicine Unit

Keywords

Internal medecine unit, Medication Error, Clinical Pharmacist, Medication reconciliation

Brief summary

Transfers between interfaces of care are recognized as a source of medication discrepancies, medication errors (MEs) and potentially adverse drug events. ME are very common at hospital and may have important clinical and economic consequences. The lack and loss of medication information and communication between health professionals at points of care transition may often lead to ME. According to the literature, up to two thirds of medication histories contain at least one error. Some studies have compared pharmaceutical team with physician or nurse on the detection of UMD or ME and have reported that pharmacists were one of the best health care providers to establish medication history. To improve medication safety and decrease MEs rate, several institutions have recommended to develop medication reconciliation at all transition points such as admission, transfer and discharge. Medication reconciliation is the process that compares a patient's medication order to all medications that the patient has been taking and should take at admission, transfer and discharge of hospitalization. Medication reconciliation programs led by pharmacists are effective to reduce medications discrepancies. However, studies evaluating the efficacy of medication reconciliation program are very heterogeneous in terms of populations, definitions and methodology. Thus, proportion of ME differs enormously between studies, ranging from under 10% to over 60% at admission of hospitalization. Elderly patients with their numerous comorbidities associated with polypharmacy, such as patients of internal medecin unit, are at high risk of ME and at risk of safety issues. However, medication reconciliation process is very time consuming with an average of 30 minutes by patient. Thereby, review of all inpatients within 24 hours of admissions is very difficult or impossible. Targeting high-risk situation and high-risk patient are crucial to detect ME before causing harm. Therefore, evaluating the risk of MEs and their potential consequences in specific population of internal medicine unit using a validated medication reconciliation process seems of utmost importance for internal medicine specialist clinical practice and the decrease of ME rate. Consequently, the aim of our study was to (i) evaluate the prevalence of ME in an internal medicine unit at admission of hospitalization, (ii) determine the type of medication involved and the potential clinical impact of ME and (iii) identify factors associated with a risk of ME and serious ME.

Interventions

OTHERDetection and correction of medication error at hospital admission

Detection and correction of medication error at hospital admission

Sponsors

University Hospital, Montpellier
Lead SponsorOTHER

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

\- Patients aged above 18 years old, admitted to the department during the study period and hospitalized for at least 24 hours

Exclusion criteria

\- NA

Design outcomes

Primary

MeasureTime frameDescription
number of medication error1 daynumber of medication error at hospital admission detected by clinical pharmacist during medication reconciliation process

Secondary

MeasureTime frameDescription
number of variable associated to the risk of ME1 daynumber of variable associated to the risk of ME detected by logistic regression analysis

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 17, 2026