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CompletedNCT04510948PPC-CCFUpdated May 4, 2025Results posted

Patient Priority Care for Older Adults With Multiple Chronic Conditions

An interventional study of Patient Priorities Care in Multiple Chronic Conditions, sponsored by The Cleveland Clinic. Completed at 1 site in United States. Open to participants aged 66 Years and older. Per ClinicalTrials.gov, last updated 2025-05-04.

Sponsored by The Cleveland Clinic · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
264
Allocation
Non-randomized
Ages
66 Years and older
Sex
All
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Study summary

Healthcare for older adults with multiple chronic conditions (MCCs) is burdensome and of uncertain benefit, resulting in unwanted and unhelpful care. Patient Priorities Care (PPC) aligns care with patients' health priorities (i.e. the health outcomes most desired given the healthcare each is willing and able to receive). The aim of this project is to test, using a parallel group design involving 2 matched primary care sites, whether PPC decreases patient treatment burden and unwanted and unnecessary health care as well as assess what the value of this program is for patients.

Read the detailed description

Healthcare for older adults with multiple chronic conditions (MCCs) is burdensome and of uncertain benefit, resulting in unwanted and unhelpful care. Patient Priorities Care (PPC) is an approach that aligns care with patients' health priorities (i.e. the health outcomes most desired given the healthcare each is willing and able to receive). PPC offers the opportunity to increase value by improving both outputs (desired health outcomes) and inputs (healthcare preferences) for these major users of healthcare.

We will employ a quasi-experimental, usual care (UC) group design, involving 2 primary care sites (1 PPC and 1 UC. Patients are assigned to intervention or usual care arms based on their primary care practice location. We will use analytic techniques (e.g., inverse propensity score weighting) designed to reduce selection bias and balance PPC and UC sites in terms of baseline characteristics. Data collection will occur through quantitative and qualitative interviews and health encounter information in the Electric Health Record(EHR).

Patient Priorities Care requires the elicitation and documentation of patient health outcome goals and care preferences and the alignment of clinical care with goals and priorities to achieve patients' health outcome goals and reduce the burden of multi-morbidity. Participants will be enrolled in the Patient Priorities Care Program and speak with a trained health priorities facilitator to elicit their healthcare preferences and health outcome goals, which together constitute their health priorities. This information will be documented, entered into the EHR, and shared with the clinicians who will then use the Patient Priorities Care approach with patients to inform and guide treatment decisions. Patients will participate in the program and be followed for up to one year from the health priorities identification visit.

To determine the value of PPC, comparable primary care sites within the Cleveland Clinic will be assigned to PPC or Usual care (UC). Clinicians and staff at the PPC site will be trained to identify and align decision-making with the health priorities of older adults with MCCs. Value will be compared using patient and provider-reported outcomes, healthcare utilization, and possibly costs at PPC and UC sites.

The ultimate goal of our work is to implement and evaluate this approach to care for older adults with multiple chronic conditions that focuses on what matters most to them and is less fragmented and burdensome, resulting in better quality and outcomes at lower cost. This study will focus on evaluating practice change at test sites at the Cleveland Clinic.

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Conditions studied

  • Multiple Chronic Conditions
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In context

Multiple Chronic Conditions

89 studies on the registry are indexed under Multiple Chronic Conditions; 16 are open to participants now.

This study's enrollment of 264 is above the median of 128 across 71 interventional studies indexed under Multiple Chronic Conditions.

Browse Multiple Chronic Conditions studies →

Lead sponsor

The Cleveland Clinic is the lead sponsor of 831 studies on the registry; 119 are open to participants now.

Of its 90 completed or terminated interventional studies of FDA-regulated products, 73 (81%) have results posted.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
66 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Age 66 and older
  2. In the Cleveland Clinic patient population
  3. In the clinician practices selected as intervention or usual care practice sites
  4. Clinically identified by: Those who meet any of several criteria i. 3 chronic conditions (See appendix 0 for the complete list) ii. 10 medications iii. >2 ED visits over the past year iv. >1 hospitalization (or >10 days in hospital) v. receive any care coordination services vi. 2 specialists over past year

Exclusion criteria

Exclusion Criteria:

  1. In hospice or meeting hospice criteria for any condition
  2. Advanced dementia or moderate to profound intellectual disabilities
  3. Not English speaking
  4. Nursing home resident
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
Single (Outcomes assessor)
Enrollment
264 participants (actual)

Study arms

  • Experimental
    Intervention (Implementing Patient Priorities Care)

    Patient Priorities Care requires the elicitation and documentation of patient health outcome goals and care preferences and the alignment of clinical care with health goals and healthcare preferences (collectively referred to as health priorities). Participants will be contacted by a trained priorities facilitator in-person or over the phone to elicit their health priorities. This information will be documented in the PPC- GOALS AND PREFERENCES form in the EHR and shared with the clinicians who will then use the Patient Priorities Care approach with patients to inform and guide treatment decisions.

    Behavioral: Patient Priorities Care

  • No intervention
    Usual Care (Not implementing PPC)

    Patients will receive routine clinical care.

Interventions

  • BehavioralPatient Priorities Care

    Patient Priorities Care (PPC) is an innovative approach to shared decision-making that draws from existing professional training. PPC requires the elicitation and documentation of patient health outcome goals and care preferences and the alignment of clinical care with health goals and healthcare preferences. This information will be collected and documented in the EHR by facilitators and shared with the clinicians who will then use the PPC approach with patients to inform and guide treatment decisions. The PCPs will be trained in decisional strategies that have been shown to help align care with patients' health priorities. While encouraged to use these decisional strategies, PCPs will be free to make the recommendations they feel most appropriate for each patient. This intervention has been developed to be integrated seamlessly into usual care.

    Also known as: PPC

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What researchers measure

Primary outcomes

  1. Treatment Burden

    Change in patient score on 'Treatment Burden Questionnaire' (TBQ, score range 0-150, Cronbach's alpha=0.90) Lower score reflects less perceived treatment burden.

    Time frame: from baseline to follow-up at 8-9 months

  2. Achievement of Desired Activities

    Patient score on PROMIS Ability to Participate in Social Roles and Activities Shot Form 6a (score range 6-30; Cronbach's alpha = 0.98) Higher score reflects more social participation.

    Time frame: at follow-up (8-9 months) The scale instructions do not reference timeframe.

  3. Health Care Utilization Defined by Healthcare Contact Days

    Number of health care contact days defined as number of ED visits, days in hospital +.5\*number of outpatient encounters for procedures, tests, healthcare visits.

    Time frame: from 3 months prior to 12 months following baseline interview

Secondary outcomes

  1. Shared Decision Making and Goal Ascertainment

    Change in patient score on CollaboRATE tool (score 0-100, Cronbach's alpha=0.89) from baseline to follow-up up at 8-9 months and response to Cleveland Clinic ACO survey item "When starting a new medication, did your provider ask what you thought was best for you?" Scores are dichotomized 100 vs. \<100 with 100 being the percent of participants who reported the top score of all three items.

    Time frame: at 8-9 months follow-up

07

Results

Posted May 4, 2025
Limitations and caveats
1) Despite careful site selection by propensity-adjusted analyses, potential unmeasured confounders and persistent recruitment disparities despite efforts. 2) Methodological constraints and the impact of the COVID-19 pandemic (delays, disruptions, and reduced sample size) further limit generalizability and statistical power. 3) Participant enrollment issues and 9-month follow-up limitations add complexities. 4) While promising, the study's long-term impact on health outcomes remains uncertain.

Participant flow

Enrollment occurred between August 14, 2020 - May 14, 2021. The study followed a nonrandomized controlled trial design. One primary care site within Cleveland Clinic's multisite Primary Care Practice was selected as the PPC site. The UC site was identified as the optimal match to the PPC site using a multivariate matching procedure which calculated the multivariate distance between the PPC site and 11 potential UC sites.

Participant flow — Overall Study
MilestoneIntervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)
Started129135
Completed116113
Not completed1322

Outcome measures

PrimaryTreatment Burden

Change in patient score on 'Treatment Burden Questionnaire' (TBQ, score range 0-150, Cronbach's alpha=0.90) Lower score reflects less perceived treatment burden.

Time frame:
from baseline to follow-up at 8-9 months
Reported as:
Mean · score on a scale
Treatment Burden
score on a scaleIntervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)
Baseline11.9 (10.3 to 13.6)11.6 (9.3 to 14.0)
Follow up12.7 (10.0 to 15.5)17.9 (13.1 to 22.7)
PrimaryAchievement of Desired Activities

Patient score on PROMIS Ability to Participate in Social Roles and Activities Shot Form 6a (score range 6-30; Cronbach's alpha = 0.98) Higher score reflects more social participation.

Time frame:
at follow-up (8-9 months) The scale instructions do not reference timeframe.
Reported as:
Mean · score on a scale
Achievement of Desired Activities
score on a scaleIntervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)
Achievement of Desired Activities21.9 (20.6 to 23.1)21.6 (20.2 to 22.9)
PrimaryHealth Care Utilization Defined by Healthcare Contact Days

Number of health care contact days defined as number of ED visits, days in hospital +.5\*number of outpatient encounters for procedures, tests, healthcare visits.

Time frame:
from 3 months prior to 12 months following baseline interview
Reported as:
Mean · days
Health Care Utilization Defined by Healthcare Contact Days
daysIntervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)
Baseline0.7 (0.4 to 1.0)0.7 (0.4 to 1.0)
Follow up8.7 (3.8 to 13.7)13.4 (6.6 to 20.1)
SecondaryShared Decision Making and Goal Ascertainment

Change in patient score on CollaboRATE tool (score 0-100, Cronbach's alpha=0.89) from baseline to follow-up up at 8-9 months and response to Cleveland Clinic ACO survey item "When starting a new medication, did your provider ask what you thought was best for you?" Scores are dichotomized 100 vs. \<100 with 100 being the percent of participants who reported the top score of all three items.

Time frame:
at 8-9 months follow-up
Reported as:
Mean · score on a scale
Shared Decision Making and Goal Ascertainment
score on a scaleIntervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)
Baseline46.3 (36.5 to 56.5)47.7 (37.9 to 57.8)
Follow up58.5 (45.6 to 70.3)61.9 (50.9 to 71.8)

Adverse events

Collected over From baseline and up to 1 year from baseline. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Intervention (Implementing Patient Priorities Care)3/129 (2.3%)0/129 (0%)0/129 (0%)
Usual Care (Not Implementing PPC)5/135 (3.7%)0/135 (0%)0/135 (0%)

Baseline characteristics

The number above includes respondents with some missing data. Although not all respondents answered all questions, all participants who responded completely at least one scale are included here. Raw numbers are reported.

Age, Continuous
Age, Continuous(years)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Mean75.5 ± 6.475.4 ± 6.175.5 ± 6.3
Sex: Female, Male
Sex: Female, Male(Participants)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Female5466120
Male7369142
Race (NIH/OMB)
Race (NIH/OMB)(Participants)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
American Indian or Alaska Native101
Asian224
Native Hawaiian or Other Pacific Islander000
Black or African American10111
White110129239
More than one race000
Unknown or Not Reported538
Education high school or less
Education high school or less(Participants)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Count of participants254671
Medicare Advantage
Medicare Advantage(Participants)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Count of participants5963122
Lives alone
Lives alone(Participants)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Count of participants544094
5-Word recall score
5-Word recall score(words)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Mean3.4 ± 1.43.7 ± 1.43.6 ± 1.4
PROMIS physical health
PROMIS physical health(units on a scale)Intervention (Implementing Patient Priorities Care)Usual Care (Not Implementing PPC)Total
Mean14.8 ± 2.914.3 ± 2.714.6 ± 2.8

7 further baseline measures are reported on the registry.

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Study locations

1 site
  • Cleveland Clinic Lakewood Family Health Center
    Lakewood, Ohio 44107, United States
09

References and documents

Publications

  • Boyd C, Smith CD, Masoudi FA, Blaum CS, Dodson JA, Green AR, Kelley A, Matlock D, Ouellet J, Rich MW, Schoenborn NL, Tinetti ME. Decision Making for Older Adults With Multiple Chronic Conditions: Executive Summary for the American Geriatrics Society Guiding Principles on the Care of Older Adults With Multimorbidity. J Am Geriatr Soc. 2019 Apr;67(4):665-673. doi: 10.1111/jgs.15809. Epub 2019 Mar 10. PubMed 30663782 ↗
  • Tinetti ME, Naik AD, Dindo L, Costello DM, Esterson J, Geda M, Rosen J, Hernandez-Bigos K, Smith CD, Ouellet GM, Kang G, Lee Y, Blaum C. Association of Patient Priorities-Aligned Decision-Making With Patient Outcomes and Ambulatory Health Care Burden Among Older Adults With Multiple Chronic Conditions: A Nonrandomized Clinical Trial. JAMA Intern Med. 2019 Dec 1;179(12):1688-1697. doi: 10.1001/jamainternmed.2019.4235. PubMed 31589281 ↗
  • Z. Zhao, "Using matching to estimate treatment effects: Data requirements, matching metrics, and Monte Carlo evidence," in Review of Economics and Statistics, 2004, doi: 10.1162/003465304323023705.
  • D. B. Rubin, "Using Multivariate Matched Sampling and Regression Adjustment to Control Bias in Observational Studies," J. Am. Stat. Assoc., 1979, doi: 10.1080/01621459.1979.10482513.
  • Tran VT, Harrington M, Montori VM, Barnes C, Wicks P, Ravaud P. Adaptation and validation of the Treatment Burden Questionnaire (TBQ) in English using an internet platform. BMC Med. 2014 Jul 2;12:109. doi: 10.1186/1741-7015-12-109. PubMed 24989988 ↗
  • Hahn EA, Kallen MA, Jensen RE, Potosky AL, Moinpour CM, Ramirez M, Cella D, Teresi JA. Measuring social function in diverse cancer populations: Evaluation of measurement equivalence of the Patient Reported Outcomes Measurement Information System(R) (PROMIS(R)) Ability to Participate in Social Roles and Activities short form. Psychol Test Assess Model. 2016 Jun 27;58(2):403-421. PubMed 30221102 ↗
  • Groff AC, Colla CH, Lee TH. Days Spent at Home - A Patient-Centered Goal and Outcome. N Engl J Med. 2016 Oct 27;375(17):1610-1612. doi: 10.1056/NEJMp1607206. No abstract available. PubMed 27783911 ↗
  • Russell LB, Ibuka Y, Carr D. How Much Time Do Patients Spend on Outpatient Visits?: The American Time Use Survey. Patient. 2008 Jul 1;1(3):211-22. doi: 10.2165/1312067-200801030-00008. PubMed 22272927 ↗
  • Forcino RC, Barr PJ, O'Malley AJ, Arend R, Castaldo MG, Ozanne EM, Percac-Lima S, Stults CD, Tai-Seale M, Thompson R, Elwyn G. Using CollaboRATE, a brief patient-reported measure of shared decision making: Results from three clinical settings in the United States. Health Expect. 2018 Feb;21(1):82-89. doi: 10.1111/hex.12588. Epub 2017 Jul 5. PubMed 28678426 ↗
  • Blaum CS, Rosen J, Naik AD, Smith CD, Dindo L, Vo L, Hernandez-Bigos K, Esterson J, Geda M, Ferris R, Costello D, Acampora D, Meehan T, Tinetti ME. Feasibility of Implementing Patient Priorities Care for Older Adults with Multiple Chronic Conditions. J Am Geriatr Soc. 2018 Oct;66(10):2009-2016. doi: 10.1111/jgs.15465. Epub 2018 Oct 3. PubMed 30281777 ↗
  • Austin PC, Stuart EA. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies. Stat Med. 2015 Dec 10;34(28):3661-79. doi: 10.1002/sim.6607. Epub 2015 Aug 3. PubMed 26238958 ↗
  • D. B. Rubin, "Using propensity scores to help design observational studies: Application to the tobacco litigation," Matched Sampl. Causal Eff., pp. 365-382, 2006, doi:
  • Stuart EA. Matching methods for causal inference: A review and a look forward. Stat Sci. 2010 Feb 1;25(1):1-21. doi: 10.1214/09-STS313. PubMed 20871802 ↗
  • Austin PC. An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies. Multivariate Behav Res. 2011 May;46(3):399-424. doi: 10.1080/00273171.2011.568786. Epub 2011 Jun 8. PubMed 21818162 ↗
  • D. Rubin, Multiple Imputation for Nonresponse in Surveys. Wiley, 1987.
  • J. Cohen, Statistical Power Analysis for the Behavioral Sciences. Hillsdale, New Jersey, 1988.
  • Tinetti M, Dindo L, Smith CD, Blaum C, Costello D, Ouellet G, Rosen J, Hernandez-Bigos K, Geda M, Naik A. Challenges and strategies in patients' health priorities-aligned decision-making for older adults with multiple chronic conditions. PLoS One. 2019 Jun 10;14(6):e0218249. doi: 10.1371/journal.pone.0218249. eCollection 2019. PubMed 31181117 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

Individual participant data

Plan to share: Yes — Dedientified data may be shared on a case-by-case basis after compliance and regulatory approval have been obtained.

Time frame: After publication. Data will be retained for a period of six year after study closure.

Access criteria: Access will be provided on a case-by-case basis pending approval by the Cleveland Clinic IRB and law department.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on May 4, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT04510948
Collaborators
Yale University, Donaghue Medical Research Foundation
Responsible party
Ardeshir Hashmi (Center Director, Geriatrics, The Cleveland Clinic) — Principal investigator
First posted
Aug 12, 2020
Start date
Aug 14, 2020
Primary completion
Jan 15, 2022
Completion
Jul 30, 2023
Results posted
May 4, 2025
Last update
May 4, 2025

Study contacts

Ardeshir Hashmi, MD
principal investigator · The Cleveland Clinic

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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