%0 Journal Article
%T 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.
%A Naik AD
%A Shanahan ML
%A Dindo L
%A Mecca MC
%A Arney J
%A Amspoker AB
%A Wydermyer S
%A Banks J
%A Street RL
%A Kiefer L
%A Zenoni M
%A Rosen T
%A Gonzalez RD
%A Catic A
%A Fried TR
%J Contemp Clin Trials
%V 143
%N 0
%D 2024 Aug 22
%M 38914308
%F 2.261
%R 10.1016/j.cct.2024.107613
%X 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: 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: 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.