Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention

Samuel Cornell; Jenny Doust; Mark Morgan; Kim Greaves; Anna L. Hawkes; Carl de Wet; Denise O'Connor; Carissa Bonner

doi:10.1016/j.pecinn.2023.100140

Back

Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention

Journal article

Open access

Peer reviewed

Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention

Samuel Cornell, Jenny Doust, Mark Morgan, Kim Greaves, Anna L. Hawkes, Carl de Wet, Denise O'Connor and Carissa Bonner

PEC Innovation, Vol.2, pp.1-10

2023

DOI: https://doi.org/10.1016/j.pecinn.2023.100140

PMCID: PMC10194094

PMID: 37214489

Files and links (2)

pdf

1-s2.0-S2772628223000201-main1.35 MBDownload View

Published Version Open Access CC BY-NC-ND V4.0

url

https://doi.org/10.1016/j.pecinn.2023.100140View

Published Version

Abstract

Cardiovascular disease

Clinical decision support system

Decision aid

Feasibility

General practice

Implementation

Prevention

Objective: Patient decision aids (DA) facilitate shared decision making, but implementation remains a challenge. This study tested the feasibility of integrating a cardiovascular disease (CVD) prevention DA into general practice software. Methods: We developed a desktop computer application (app) to auto-populate a CVD prevention DA from general practice medical records. 4 practices received monthly practice reports from July-Nov 2021, and 2 practices use the app with limited engagement. CVD risk assessment data and app use were monitored. Results: The proportion of eligible patients with complete CVD risk assessment data ranged from 59 to 94%. Monthly app use ranged from 0 to 285 sessions by 13 individual practice staff including GPs and nurses, with staff using the app an average of 67 sessions during the study period. High users in the 5-month study period continued to use the app for 10 months. Low use was attributed to reduced staff capacity during COVID-19 and technical issues. Conclusion: High users sustained interest in the app, but additional strategies are required for low users. The study will inform implementation plans for new guidelines. Innovation: This study showed it is feasible to integrate patient decision aids with Australian general practice software, despite the challenges of COVID-19 at the time of the study.

Details

Title: Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
Authors: Samuel Cornell (Author) - The University of Sydney
Jenny Doust (Author) - The University of Queensland
Mark Morgan (Author) - Bond University
Kim Greaves (Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and Engineering
Anna L. Hawkes (Author) - The University of Queensland
Carl de Wet (Author) - Gold Coast Health
Denise O'Connor (Author) - Monash University
Carissa Bonner (Corresponding Author) - The University of Sydney
Publication details: PEC Innovation, Vol.2, pp.1-10
Publisher: Elsevier BV
Date published: 2023
DOI: 10.1016/j.pecinn.2023.100140
PMID: 37214489; PMC10194094
Organisation Unit: Faculty of Science, Health, Education and Engineering
Language: English
Record Identifier: 99716194202621
Output Type: Journal article

Metrics

50 File views/ downloads

72 Record Views