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

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Cornell, S
Doust, J
Morgan, M
Greaves, K
Hawkes, AL
de Wet, C
O'Connor, D
Bonner, C
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2023
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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. 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.

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PEC Innovation

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2

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© 2023 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Cornell, S; Doust, J; Morgan, M; Greaves, K; Hawkes, AL; de Wet, C; O'Connor, D; Bonner, C, Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention, PEC Innovation, 2023, 2, pp. 100140

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