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

Authors :
Cornell S
Doust J
Morgan M
Greaves K
Hawkes AL
de Wet C
O'Connor D
Bonner C
Source :
PEC innovation [PEC Innov] 2023 Feb 21; Vol. 2, pp. 100140. Date of Electronic Publication: 2023 Feb 21 (Print Publication: 2023).
Publication Year :
2023

Abstract

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.<br />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.<br />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.<br />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.<br />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.<br />Competing Interests: The authors declare that they have no competing interests.<br /> (© 2023 Published by Elsevier B.V.)

Details

Language :
English
ISSN :
2772-6282
Volume :
2
Database :
MEDLINE
Journal :
PEC innovation
Publication Type :
Academic Journal
Accession number :
37214489
Full Text :
https://doi.org/10.1016/j.pecinn.2023.100140