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Embedding Patient Priorities Care in an Age-Friendly Health System

Background: Patient Priorities Care (PPC) is an innovative approach to improving care for older adults with multiple morbidities. We developed a PPC training program for healthcare professionals and describe preliminary results. Methods: We implemented PPC in a geriatrics clinic. 20 staff and traine...

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Detalles Bibliográficos
Autores principales: Naik, Aanand, Kiefer, Lea, Catic, Angela, Dindo, Lillian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741909/
http://dx.doi.org/10.1093/geroni/igaa057.2401
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author Naik, Aanand
Kiefer, Lea
Catic, Angela
Dindo, Lillian
author_facet Naik, Aanand
Kiefer, Lea
Catic, Angela
Dindo, Lillian
author_sort Naik, Aanand
collection PubMed
description Background: Patient Priorities Care (PPC) is an innovative approach to improving care for older adults with multiple morbidities. We developed a PPC training program for healthcare professionals and describe preliminary results. Methods: We implemented PPC in a geriatrics clinic. 20 staff and trainees participated on 1) how to identify patient priorities, 2) documentation in the electronic health record (EHR), and 3) strategies to align care with priorities; and received case-based audit and feedback. Results: 250 patients participated in PPC encounters. The EHR template was subsequently integrated within an Age Friendly Health System (AFHS) note. Clinicians have integrated this AFHS template for all encounters. Conclusion: PPC is a feasible approach to the care of older adults with multiple morbidities following a structured clinician training program. PPC can be effectively incorporated into the “Matter Most” component of AFHS.
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spelling pubmed-77419092020-12-21 Embedding Patient Priorities Care in an Age-Friendly Health System Naik, Aanand Kiefer, Lea Catic, Angela Dindo, Lillian Innov Aging Abstracts Background: Patient Priorities Care (PPC) is an innovative approach to improving care for older adults with multiple morbidities. We developed a PPC training program for healthcare professionals and describe preliminary results. Methods: We implemented PPC in a geriatrics clinic. 20 staff and trainees participated on 1) how to identify patient priorities, 2) documentation in the electronic health record (EHR), and 3) strategies to align care with priorities; and received case-based audit and feedback. Results: 250 patients participated in PPC encounters. The EHR template was subsequently integrated within an Age Friendly Health System (AFHS) note. Clinicians have integrated this AFHS template for all encounters. Conclusion: PPC is a feasible approach to the care of older adults with multiple morbidities following a structured clinician training program. PPC can be effectively incorporated into the “Matter Most” component of AFHS. Oxford University Press 2020-12-16 /pmc/articles/PMC7741909/ http://dx.doi.org/10.1093/geroni/igaa057.2401 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Naik, Aanand
Kiefer, Lea
Catic, Angela
Dindo, Lillian
Embedding Patient Priorities Care in an Age-Friendly Health System
title Embedding Patient Priorities Care in an Age-Friendly Health System
title_full Embedding Patient Priorities Care in an Age-Friendly Health System
title_fullStr Embedding Patient Priorities Care in an Age-Friendly Health System
title_full_unstemmed Embedding Patient Priorities Care in an Age-Friendly Health System
title_short Embedding Patient Priorities Care in an Age-Friendly Health System
title_sort embedding patient priorities care in an age-friendly health system
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7741909/
http://dx.doi.org/10.1093/geroni/igaa057.2401
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