An innovative approach to aligning healthcare with what matters most to patients: A hybrid type 1 trial protocol of patient priorities care for older adults with multiple chronic conditions.

Multiple chronic conditions Older adults Patient-centered Primary care Priorities Values

Journal

Contemporary clinical trials
ISSN: 1559-2030
Titre abrégé: Contemp Clin Trials
Pays: United States
ID NLM: 101242342

Informations de publication

Date de publication:
22 Jun 2024
Historique:
received: 01 02 2024
revised: 17 06 2024
accepted: 21 06 2024
medline: 25 6 2024
pubmed: 25 6 2024
entrez: 24 6 2024
Statut: aheadofprint

Résumé

Providing healthcare for older adults with multiple chronic conditions (MCC) is challenging. Polypharmacy and complex treatment plans can lead to high treatment burden and risk for adverse events. For clinicians, managing the complexities of patients with MCC leaves little room to identify what matters and align care options with patients' health priorities. New care approaches are needed to navigate these challenges. In this clinical trial, we evaluate implementation and effectiveness outcomes of an innovative, structured, patient-centered care approach (Patient Priorities Care; PPC) for reducing treatment burden and aligning health care decisions with the health priorities of older adults with MCC. This is a multisite, assessor-blind, two-arm, parallel hybrid type 1 randomized controlled trial. We are enrolling 396 older (65+) Veterans with MCC who receive primary care at the Veterans Affairs Medical Center. Veterans are randomly assigned to either PPC or usual care. In the PPC arm, Veterans have a brief telephone call with a study facilitator to identify their personal health priorities. Then, primary care providers use this information to align healthcare with Veteran priorities during their established clinic appointments. Data are collected at baseline and 4-month follow up to assess for changes in treatment burden and use of home and community services. Formative and summative evaluations are also collected to assess for implementation outcomes according to Proctor's implementation framework. This work has the potential to significantly improve the standard of care by personalizing healthcare and helping patients achieve what is most important to them.

Sections du résumé

BACKGROUND BACKGROUND
Providing healthcare for older adults with multiple chronic conditions (MCC) is challenging. Polypharmacy and complex treatment plans can lead to high treatment burden and risk for adverse events. For clinicians, managing the complexities of patients with MCC leaves little room to identify what matters and align care options with patients' health priorities. New care approaches are needed to navigate these challenges. In this clinical trial, we evaluate implementation and effectiveness outcomes of an innovative, structured, patient-centered care approach (Patient Priorities Care; PPC) for reducing treatment burden and aligning health care decisions with the health priorities of older adults with MCC.
METHODS METHODS
This is a multisite, assessor-blind, two-arm, parallel hybrid type 1 randomized controlled trial. We are enrolling 396 older (65+) Veterans with MCC who receive primary care at the Veterans Affairs Medical Center. Veterans are randomly assigned to either PPC or usual care. In the PPC arm, Veterans have a brief telephone call with a study facilitator to identify their personal health priorities. Then, primary care providers use this information to align healthcare with Veteran priorities during their established clinic appointments. Data are collected at baseline and 4-month follow up to assess for changes in treatment burden and use of home and community services. Formative and summative evaluations are also collected to assess for implementation outcomes according to Proctor's implementation framework.
CONCLUSIONS CONCLUSIONS
This work has the potential to significantly improve the standard of care by personalizing healthcare and helping patients achieve what is most important to them.

Identifiants

pubmed: 38914308
pii: S1551-7144(24)00196-4
doi: 10.1016/j.cct.2024.107613
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107613

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Aanand D Naik (AD)

Institute on Aging, School of Public Health, University of Texas Health Science Center, Houston, TX, United States of America; Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America. Electronic address: Aanand.naik@uth.tmc.edu.

Mackenzie L Shanahan (ML)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America.

Lilian Dindo (L)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Marcia C Mecca (MC)

Center for Innovation for Pain Research, Informatics, Multi-morbidities, and Education, VA Connecticut Healthcare System, West Haven, CT, United States of America; Department of Medicine, Yale School of Medicine, New Haven, CT, United States of America.

Jennifer Arney (J)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Sociology, University of Houston-Clear Lake, Houston, TX, United States of America.

Amber B Amspoker (AB)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Sheena Wydermyer (S)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Jack Banks (J)

Institute on Aging, School of Public Health, University of Texas Health Science Center, Houston, TX, United States of America; Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America.

Richard L Street (RL)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Communication and Journalism, Texas A&M University, College Station, TX, United States of America.

Lea Kiefer (L)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Maria Zenoni (M)

Center for Innovation for Pain Research, Informatics, Multi-morbidities, and Education, VA Connecticut Healthcare System, West Haven, CT, United States of America; Department of Medicine, Yale School of Medicine, New Haven, CT, United States of America.

Tracey Rosen (T)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Raquel D Gonzalez (RD)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Angela Catic (A)

Center for Innovations in Quality, Effectiveness and Safety, Michael E. DeBakey VA Medical Center, Houston, TX, United States of America; Department of Medicine, Section of Health Services Research, Baylor College of Medicine, Houston, TX, United States of America.

Terri R Fried (TR)

Center for Innovation for Pain Research, Informatics, Multi-morbidities, and Education, VA Connecticut Healthcare System, West Haven, CT, United States of America; Department of Medicine, Yale School of Medicine, New Haven, CT, United States of America.

Classifications MeSH