Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach

BackgroundPatient-centered measurement (PCM) aims to improve the overall quality of care through the collection and sharing of patient values, outcomes, and perspectives. However, the use of PCM in care team decisions remains limited. Integrated knowledge translation (IKT) of...

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Main Authors: Selena Davis, Marcy Antonio, Mindy Smith, Paul Burgener, Danielle C Lavallee, Morgan Price, Sarah C Fletcher, Francis Lau
Format: Article
Language:English
Published: JMIR Publications 2022-03-01
Series:JMIR Formative Research
Online Access:https://formative.jmir.org/2022/3/e33584
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author Selena Davis
Marcy Antonio
Mindy Smith
Paul Burgener
Danielle C Lavallee
Morgan Price
Sarah C Fletcher
Francis Lau
author_facet Selena Davis
Marcy Antonio
Mindy Smith
Paul Burgener
Danielle C Lavallee
Morgan Price
Sarah C Fletcher
Francis Lau
author_sort Selena Davis
collection DOAJ
description BackgroundPatient-centered measurement (PCM) aims to improve the overall quality of care through the collection and sharing of patient values, outcomes, and perspectives. However, the use of PCM in care team decisions remains limited. Integrated knowledge translation (IKT) offers a collaborative, adaptive approach to explore best practices for incorporating PCM into primary care practices by involving knowledge users, including patients and providers, in the exploratory process. ObjectiveThis study aims to test the feasibility of using patient-generated data in team-based care; describe the use of these data for team-based mental health care; and summarize patient and provider care experiences with PCM. MethodsWe conducted a multi-method exploratory study in a rural team-based primary care clinic using IKT to co-design, implement, and evaluate the use of PCM in team-based mental health care. Care pathways, workflows, and quality improvement activities were adjusted iteratively to improve integration efforts. Patient and provider experiences were evaluated using individual interviews relating to the use of PCM and patient portals in practice. All meeting notes, interview summaries, and emails were analyzed to create a narrative evaluation. ResultsDuring co-design, a care workflow was developed to incorporate electronically collected patient-generated data from the patient portal into the electronic medical record, and customized educational tools and resources were added. During implementation, care pathways and patient workflows for PCM were developed. Patients found portal use easy, educational, and validating, but data entries were not used during care visits. Providers saw the portal as extra work, and the lack of portal and electronic medical record integration was a major barrier. The IKT approach was invaluable for addressing workflow changes and understanding the ongoing barriers to PCM use and quality improvement. ConclusionsAlthough the culture toward using PCM is changing, the use of PCM during care has not been successful. Patients felt validated and supported through portal use and could be empowered to bring these data to their visits. Training, modeling, and adaptable PCM methods are required before PCM can be integrated into routine care.
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spelling doaj.art-4fb80d9459aa49f9a0198902770661692023-08-28T21:06:23ZengJMIR PublicationsJMIR Formative Research2561-326X2022-03-0163e3358410.2196/33584Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation ApproachSelena Davishttps://orcid.org/0000-0003-4542-3341Marcy Antoniohttps://orcid.org/0000-0001-9332-8512Mindy Smithhttps://orcid.org/0000-0002-5965-8881Paul Burgenerhttps://orcid.org/0000-0002-7749-3216Danielle C Lavalleehttps://orcid.org/0000-0002-5555-9675Morgan Pricehttps://orcid.org/0000-0001-6409-1579Sarah C Fletcherhttps://orcid.org/0000-0002-6560-3772Francis Lauhttps://orcid.org/0000-0001-7010-3281 BackgroundPatient-centered measurement (PCM) aims to improve the overall quality of care through the collection and sharing of patient values, outcomes, and perspectives. However, the use of PCM in care team decisions remains limited. Integrated knowledge translation (IKT) offers a collaborative, adaptive approach to explore best practices for incorporating PCM into primary care practices by involving knowledge users, including patients and providers, in the exploratory process. ObjectiveThis study aims to test the feasibility of using patient-generated data in team-based care; describe the use of these data for team-based mental health care; and summarize patient and provider care experiences with PCM. MethodsWe conducted a multi-method exploratory study in a rural team-based primary care clinic using IKT to co-design, implement, and evaluate the use of PCM in team-based mental health care. Care pathways, workflows, and quality improvement activities were adjusted iteratively to improve integration efforts. Patient and provider experiences were evaluated using individual interviews relating to the use of PCM and patient portals in practice. All meeting notes, interview summaries, and emails were analyzed to create a narrative evaluation. ResultsDuring co-design, a care workflow was developed to incorporate electronically collected patient-generated data from the patient portal into the electronic medical record, and customized educational tools and resources were added. During implementation, care pathways and patient workflows for PCM were developed. Patients found portal use easy, educational, and validating, but data entries were not used during care visits. Providers saw the portal as extra work, and the lack of portal and electronic medical record integration was a major barrier. The IKT approach was invaluable for addressing workflow changes and understanding the ongoing barriers to PCM use and quality improvement. ConclusionsAlthough the culture toward using PCM is changing, the use of PCM during care has not been successful. Patients felt validated and supported through portal use and could be empowered to bring these data to their visits. Training, modeling, and adaptable PCM methods are required before PCM can be integrated into routine care.https://formative.jmir.org/2022/3/e33584
spellingShingle Selena Davis
Marcy Antonio
Mindy Smith
Paul Burgener
Danielle C Lavallee
Morgan Price
Sarah C Fletcher
Francis Lau
Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
JMIR Formative Research
title Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
title_full Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
title_fullStr Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
title_full_unstemmed Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
title_short Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
title_sort paving the way for electronic patient centered measurement in team based primary care integrated knowledge translation approach
url https://formative.jmir.org/2022/3/e33584
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