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N/A N=268 Randomized Double-blind Supportive Care

ElderTree Smart System for Older Adults

Chronic Pain

Enrolled (actual)
268
Serious AEs
0.0%
Results posted
Oct 2024
Primary outcome: Primary: Change in Patient-Reported Outcomes Measurement Information System (PROMIS) Short Form v2.1 - Pain Interference Score — 58.44; 59.57; 59.19; 57.94 score on a scale

Study Design & Population

Study type
Interventional
Phase
N/A
Interventions
ElderTree on laptop (ET- LT) (Behavioral); ElderTree on smart system (ET- SS) (Behavioral); Treatment as usual (TAU) (Behavioral)
Age
Adult, Older Adult · 60+ yrs
Sex
All
Sponsor
University of Wisconsin, Madison
Primary completion
Sep 2023

Outcome Measures

OutcomeResultp-value
PRIMARY
Change in Patient-Reported Outcomes Measurement Information System (PROMIS) Short Form v2.1 - Pain Interference Score
58.44; 59.57; 59.19; 57.94; 58.20; 57.99
PRIMARY
Change in PROMIS Short Form v2.1 - Psychosocial Quality of Life Score
46.40; 45.26; 46.50; 46.11; 46.29; 46.88
SECONDARY
ElderTree Days of Use
28.47; 19.02; 17.48; 10.08
SECONDARY
Physical Quality of Life
40.23; 40.84; 41.01; 40.28; 41.30; 41.65
SECONDARY
Pain Intensity
4.48; 4.53; 4.64; 4.21; 4.13; 4.39
SECONDARY
Number of Participants Readmitted Within 30-days
4; 4; 5; 5; 6; 3
SECONDARY
Health Distress
2.02; 2.04; 1.88; 1.78; 1.85; 1.71
SECONDARY
Well-being
12.75; 12.56; 13.12; 13.20; 13.21; 13.48
SECONDARY
Loneliness
52.93; 55.19; 53.49; 51.41; 55.13; 52.45
SECONDARY
Irritability
11.30; 11.13; 10.59; 10.70; 10.72; 10.22
SECONDARY
Communication With Physicians
3.16; 3.11; 2.93; 3.22; 3.37; 3.42

Summary

Multiple chronic conditions (MCCs) are costly and pervasive among older adults. MCCs account for 90% of Medicare spending, and 65% of Medicare beneficiaries have 3 or more chronic conditions; 23% have 5 or more. MCCs are often addressed in primary care, where time pressures force a focus on medication and lab results rather than self-management skills. The primary purpose of this study is to investigate whether voice-activated "smart" technology increases adoption and sustains use of an evidence-based electronic health intervention (Elder Tree, or ET) for older adults with multiple chronic conditions, and thereby improves its potential to widely enhance quality of life and health outcomes. ET is an existing intervention providing tools, motivation, and support on a computer platform to help older adults manage their health. An Agency for Health Care Research and Quality (AHRQ)-funded randomized controlled trial (RCT) found that ET improved quality of life and other factors among high users of primary care with multiple chronic conditions such as diabetes and hypertension. However, many people did not use it extensively, which is a common problem with all web apps.

Eligibility Criteria

Inclusion Criteria

  • Be ≥60 years old;
  • Have been treated in University of Wisconsin (UW) Health clinics, with no plans to leave during the study period (only relevant for UW Health patients, not patients recruited from the community);
  • Have a chronic pain diagnosis AND a medical diagnoses of three or more of the following common chronic conditions: Chronic obstructive pulmonary disease (COPD), asthma, diabetes, hyperlipidemia, hypertension, ischemic heart disease, atrial fibrillation, heart failure, stroke, BMI 30+, cancer, chronic kidney disease, depression, osteoporosis, arthritis, or dizziness/falls/loss of vestibular function;
  • Be willing to share healthcare use (e.g. 30-day readmissions) in electronic health records (only relevant for UW Health patients, not patients recruited from the community); and
  • Allow researchers to share information about a patient's health status with their primary care physician (PCP).

Exclusion Criteria

  • Require an interpreter
  • Have a medical diagnosis of any of the following:
  • Alzheimer's
  • Schizophrenia/other psychotic disorders
  • Dementia
  • Autism spectrum disorder
  • Known terminal illness with less than 6 months to live
  • Acute medical problem requiring immediate hospitalization
View full record on ClinicalTrials.gov →

Data sourced from ClinicalTrials.gov (NCT04798196). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication.

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