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2020-0868

Eldertree smart system for older adults
Source : Importé depuis le centre

Référence clinicaltrials.gov: NCT04798196
Chronic conditions
Voice-activated "smart" technology
Source : Importé depuis le centre
Recrutement fermé
Dernière modification : 2024/10/22
Type de recherche

Interventionnel


Population cible

Condition médicale (spécialité visée)

Donnée non disponible

Profil des participants

Sexe(s) des participants

ALL

Source : Importé depuis le centre

Critères de sélection

Critères d'inclusion

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

Source : Importé depuis le centre

Thérapie ou Intervention proposée

Cohortes
Nom Condition médicale Traitement État du recrutement
Control group Participants will receive treatment as usual (TAU). Donnée non disponible
  • Inconnu
  • ElderTree on laptop (ET- LT) Participants will receive ElderTree on a laptop. Donnée non disponible
  • Inconnu
  • ElderTree on smart system (ET- SS) Participants will receive ElderTree on a smart system. Donnée non disponible
  • Inconnu
  • Control group
    État du recrutement
    unknown
    ElderTree on laptop (ET- LT)
    État du recrutement
    unknown
    ElderTree on smart system (ET- SS)
    État du recrutement
    unknown
    Données à jour depuis : 22 octobre 2024

    Description de l'étude

    Résumé de l'étude

    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.

    Source : Importé depuis le centre

    Sites

    Centres participants

      1 centres
    • UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH

      Madison

      WISCONSIN, UNITED STATES

      Recrutement local
      État du recrutement: FERMÉ

    Dernière modification : 22 octobre 2024
    Données à jour depuis : 24 oct.
    Origine des données : clinicaltrials.gov
    Référence clinicaltrials.gov: NCT04798196