Back to Search Start Over

A pharmacist-led pilot using a performance dashboard to improve psychotropic medication use in a skilled nursing facility

Authors :
Kristin Bell
Christine Hartmann
Amy Wisteria Baughman
Source :
BMJ Open Quality, Vol 9, Iss 3 (2020)
Publication Year :
2020
Publisher :
BMJ Publishing Group, 2020.

Abstract

Objectives Inappropriate use of psychotropic medications in the elderly, particularly those with dementia, is a critical safety and quality concern. This pilot quality improvement study used a novel Department of Veterans Affairs (VA) Psychotropic Drug Safety Initiative performance dashboard (PDSI dashboard) to implement a pharmacist-led intervention to improve psychotropic medication prescribing practices in a VA skilled nursing facility (SNF). While clinical dashboard data have become commonplace, literature describing successful implementation for improved clinical care is scant.Methods This study took place from November 2015 to February 2016 at a 112-bed VA SNF. A pharmacist used the PDSI dashboard to identify ‘actionable’ patients with potentially inappropriate psychotropic prescribing and then completed chart reviews to confirm clinical indications. The pharmacist provided recommendations to providers for dose reductions or deprescribing via in-person communication and notes written in the electronic medical record. SNF providers completed anonymous surveys about their experience in receiving recommendations.Results Over a 5-month period, the PDSI dashboard identified 21 patients with potentially inappropriate psychotropic medication use, with approximately one new patient identified each week. Prescribing recommendations were accepted 66% of the time. All seven SNF providers reported that recommendations were helpful in improving their psychotropic prescribing practices.Conclusions The PDSI dashboard was efficient and effective in identifying patients at risk for inappropriate use of psychotropic medications. A clinical pharmacist was essential for implementing and communicating recommendations from the dashboard to providers.

Subjects

Subjects :
Medicine (General)
R5-920

Details

Language :
English
ISSN :
23996641
Volume :
9
Issue :
3
Database :
Directory of Open Access Journals
Journal :
BMJ Open Quality
Publication Type :
Academic Journal
Accession number :
edsdoj.539c0c6980bb49b7ac279478cca923a2
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjoq-2020-000997