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Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention.
Cornell, Samuel; Doust, Jenny; Morgan, Mark; Greaves, Kim; Hawkes, Anna L; de Wet, Carl; O'Connor, Denise; Bonner, Carissa.
Afiliación
  • Cornell S; Faculty of Medicine and Health, School of Public Health, University of Sydney, New South Wales, Australia.
  • Doust J; Australian Women and Girls' Health Research (AWaGHR) Centre, School of Public Health, Faculty of Medicine, University of Queensland, Queensland, Australia.
  • Morgan M; Faculty of Health Sciences & Medicine, Bond University, Queensland, Australia.
  • Greaves K; Department of Cardiology, Sunshine Coast University Hospital, University of the Sunshine Coast, Queensland, Australia.
  • Hawkes AL; University of Queensland, Queensland, Australia.
  • de Wet C; Gold Coast Hospital and Health Service, Queensland, Australia.
  • O'Connor D; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Victoria, Australia.
  • Bonner C; Monash-Cabrini Department of Musculoskeletal Health and Clinical Epidemiology, Cabrini Health, Victoria, Australia.
PEC Innov ; 2: 100140, 2023 Dec.
Article en En | MEDLINE | ID: mdl-37214489
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PEC Innov Año: 2023 Tipo del documento: Article País de afiliación: Australia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PEC Innov Año: 2023 Tipo del documento: Article País de afiliación: Australia