Improving medication safety: Development and impact of a multivariate model-based strategy to target high-risk patients.

ABSTRACT:

Background

Preventive strategies to reduce clinically significant medication errors (MEs), such as medication review, are often limited by human resources. Identifying high-risk patients to allow for appropriate resource allocation is of the utmost importance. To this end, we developed a predictive model to identify high-risk patients and assessed its impact on clinical decision-making.

Methods

From March 1st to April 31st 2014, we conducted a prospective cohort study on adult inpatients of a 1,644-bed University Hospital Centre. After a clinical evaluation of identified MEs, we fitted and internally validated a multivariate logistic model predicting their occurrence. Through 5,000 simulated randomized controlled trials, we compared two clinical decision pathways for interve

SUBMITTER: Nguyen TL 

PROVIDER: S-EPMC5305217 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature