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

BACKGROUND: Patient-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,...

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Autores principales: Davis, Selena, Antonio, Marcy, Smith, Mindy, Burgener, Paul, Lavallee, Danielle C, Price, Morgan, Fletcher, Sarah C, Lau, Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976252/
https://www.ncbi.nlm.nih.gov/pubmed/35302508
http://dx.doi.org/10.2196/33584
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author Davis, Selena
Antonio, Marcy
Smith, Mindy
Burgener, Paul
Lavallee, Danielle C
Price, Morgan
Fletcher, Sarah C
Lau, Francis
author_facet Davis, Selena
Antonio, Marcy
Smith, Mindy
Burgener, Paul
Lavallee, Danielle C
Price, Morgan
Fletcher, Sarah C
Lau, Francis
author_sort Davis, Selena
collection PubMed
description BACKGROUND: Patient-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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: During 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. CONCLUSIONS: Although 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 pubmed-89762522022-04-03 Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach Davis, Selena Antonio, Marcy Smith, Mindy Burgener, Paul Lavallee, Danielle C Price, Morgan Fletcher, Sarah C Lau, Francis JMIR Form Res Original Paper BACKGROUND: Patient-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. OBJECTIVE: This 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. METHODS: We 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. RESULTS: During 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. CONCLUSIONS: Although 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. JMIR Publications 2022-03-18 /pmc/articles/PMC8976252/ /pubmed/35302508 http://dx.doi.org/10.2196/33584 Text en ©Selena Davis, Marcy Antonio, Mindy Smith, Paul Burgener, Danielle C Lavallee, Morgan Price, Sarah C Fletcher, Francis Lau. Originally published in JMIR Formative Research (https://formative.jmir.org), 18.03.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Davis, Selena
Antonio, Marcy
Smith, Mindy
Burgener, Paul
Lavallee, Danielle C
Price, Morgan
Fletcher, Sarah C
Lau, Francis
Paving the Way for Electronic Patient-Centered Measurement in Team-Based Primary Care: Integrated Knowledge Translation Approach
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
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8976252/
https://www.ncbi.nlm.nih.gov/pubmed/35302508
http://dx.doi.org/10.2196/33584
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