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ElderTree Via a Voice Activated Device for Managing Chronic Health Conditions (NHLBI)

University of Wisconsin (UW) logo

University of Wisconsin (UW)

Status

Active, not recruiting

Conditions

Chronic Conditions, Multiple

Treatments

Behavioral: ET-Voice (Smart System)
Behavioral: ET-Text (Laptop)

Study type

Interventional

Funder types

Other
NIH

Identifiers

NCT05240534
2020-0984
5R33HL151870 (U.S. NIH Grant/Contract)
A195000 (Other Identifier)
Protocol Version 3/2/2023 (Other Identifier)
1R61HL151870-01A1 (U.S. NIH Grant/Contract)

Details and patient eligibility

About

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. Patients often struggle with treatment adherence and the emotional and physical burdens of self-management and health tracking. Chronic conditions reduce quality of life (QOL) and increase loneliness, which exacerbate those conditions.

The primary purpose of this study is to investigate whether a voice-based platform is better for delivering an electronic health intervention to older adults than a text/typing-based platform. We have an evidence-based electronic health intervention (Elder Tree, ET) that has been shown to improve quality of life, physical and socio-emotional health outcomes for older adults with multiple chronic conditions when delivered via a text/typing-based system. The current project would test whether such patients would benefit even more if ET were delivered via a voice-based system (vs. the text-based system) because they would use it more consistently. ET is an existing intervention providing tools, motivation, and support on a computer platform to help older adults manage their health.

Enrollment

502 patients

Sex

All

Ages

60+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Be ≥60 years old;
  • Have medical record diagnoses of at least 5 chronic conditions of which at least 3 must come from the following: hypertension, hyperlipidemia, obesity, prediabetes or diabetes, or depression;
  • Be willing to share medical record data about healthcare use (30-day hospital readmissions and ER, urgent care, primary care, and specialty care visits);
  • Allow researchers to share information with the patient's primary care provider

Exclusion criteria

  • Require an interpreter
  • Report no current psychotic disorder that would prevent participation
  • Have no acute medical problem requiring immediate hospitalization
  • Not report impairments preventing use of a computer or tablet (e.g. blind, deaf)

Trial design

Primary purpose

Supportive Care

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Double Blind

502 participants in 2 patient groups, including a placebo group

Control group (ET-Text)
Placebo Comparator group
Description:
Participants will receive ElderTree on a laptop.
Treatment:
Behavioral: ET-Text (Laptop)
Experimental group (ET-Voice)
Experimental group
Description:
Participants will receive ElderTree on a smart system.
Treatment:
Behavioral: ET-Voice (Smart System)

Trial contacts and locations

1

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Central trial contact

Gina Landucci, BS; Klaren Pe-Romashko, MS

Data sourced from clinicaltrials.gov

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