Cargando…

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

Descripción completa

Detalles Bibliográficos
Autores principales: Cornell, Samuel, Doust, Jenny, Morgan, Mark, Greaves, Kim, Hawkes, Anna L., de Wet, Carl, O'Connor, Denise, Bonner, Carissa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194094/
https://www.ncbi.nlm.nih.gov/pubmed/37214489
http://dx.doi.org/10.1016/j.pecinn.2023.100140
_version_ 1785043947879399424
author Cornell, Samuel
Doust, Jenny
Morgan, Mark
Greaves, Kim
Hawkes, Anna L.
de Wet, Carl
O'Connor, Denise
Bonner, Carissa
author_facet Cornell, Samuel
Doust, Jenny
Morgan, Mark
Greaves, Kim
Hawkes, Anna L.
de Wet, Carl
O'Connor, Denise
Bonner, Carissa
author_sort Cornell, Samuel
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10194094
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-101940942023-05-19 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 PEC Innov Articles from the Special issue on Improving the delivery of care using digital technologies; Edited by Jordan Alpert 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. Elsevier 2023-02-21 /pmc/articles/PMC10194094/ /pubmed/37214489 http://dx.doi.org/10.1016/j.pecinn.2023.100140 Text en © 2023 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles from the Special issue on Improving the delivery of care using digital technologies; Edited by Jordan Alpert
Cornell, Samuel
Doust, Jenny
Morgan, Mark
Greaves, Kim
Hawkes, Anna L.
de Wet, Carl
O'Connor, Denise
Bonner, Carissa
Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
title Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
title_full Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
title_fullStr Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
title_full_unstemmed Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
title_short Implementing patient decision aids into general practice clinical decision support systems: Feasibility study in cardiovascular disease prevention
title_sort implementing patient decision aids into general practice clinical decision support systems: feasibility study in cardiovascular disease prevention
topic Articles from the Special issue on Improving the delivery of care using digital technologies; Edited by Jordan Alpert
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10194094/
https://www.ncbi.nlm.nih.gov/pubmed/37214489
http://dx.doi.org/10.1016/j.pecinn.2023.100140
work_keys_str_mv AT cornellsamuel implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT doustjenny implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT morganmark implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT greaveskim implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT hawkesannal implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT dewetcarl implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT oconnordenise implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention
AT bonnercarissa implementingpatientdecisionaidsintogeneralpracticeclinicaldecisionsupportsystemsfeasibilitystudyincardiovasculardiseaseprevention