Evidence map›Paper›PMID 38737621›Full record

ArticleEducational gerontology2024

Identifying barriers and facilitators for using a smartwatch to monitor health among older adults.

Jordan M Alpert, Bhakti Sharma, Erta Cenko, Ruben Zapata, Yashaswi Karnati, Roger B Fillingim, Thomas M Gill, Michael Marsiske, Sanjay Ranka, Todd Manini

Abstract read
In one paragraph

Article in Educational gerontology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jordan M AlpertInternal Medicine and Geriatrics, Cleveland Clinic, Cleveland, OH, USA.
Bhakti SharmaCollege of Journalism and Communications, University of Florida, Gainesville, FL, USA.
Erta CenkoDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Ruben ZapataDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Yashaswi KarnatiDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Roger B FillingimDepartment of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, USA.
Thomas M GillDepartment of Medicine, Yale University, New Haven, CT, USA.
Michael MarsiskeDepartment of Clinical and Health Psychology in the College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
Sanjay RankaDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.
Todd ManiniDepartment of Health Outcomes and Biomedical Informatics, University of Florida, Gainesville, FL, USA.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Lauren Ferrante · 2002 to 2026
$37.9M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
University of Florida Older Americans Independence Center (OAIC)P30AG028740 · NIA · UNIVERSITY OF FLORIDA · PI Stephen D Anton · 2007 to 2026
$22.8M
Wearable Technology Infrastructure to Enhance Capacity for Real-Time, Online Assessment and Mobility (ROAMM) of Intervening Health Events in Older AdultsR33AG059207 · NIA · UNIVERSITY OF FLORIDA · PI MANINI, TODD, RANKA, SANJAY · 2022 to 2024
$2.0M
Wearable Technology Infrastructure to Enhance Capacity for Real-Time, Online Assessment and Mobility (ROAMM) of Intervening Health Events in Older AdultsR21AG059207 · NIA · UNIVERSITY OF FLORIDA · PI MANINI, TODD, RANKA, SANJAY · 2019 to 2020
$417k
NCATS NIH HHS UL1 TR001427NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG028740NIA NIH HHS R21 AG059207NIA NIH HHS R33 AG059207
6 · The paper itself

Abstract

Smartwatches are a type of wearable device that enable continuous monitoring of an individual's activities and critical health metrics. As the number of older adults age 65+ continues to grow in the U.S., so does their usage of smartwatches, making it necessary to understand the real-world uptake and use of these devices to monitor health. In this study, older adults with a relatively high level of education and digital skills were provided with a smartwatch equipped with a mobile application (ROAMM) that was worn for a median of 14 days. Usability surveys were distributed, and a qualitative analysis was performed about participants' experience using the smartwatch and ROAMM application. Constructs from the Technology Acceptance Model and Consolidated Framework for Implementation Research were incorporated into in-depth interviews, which were recorded and transcribed. Data were analyzed using the constant comparative method. Interviews among 30 older adults revealed the following main themes: 1) familiarization with the device and adoption and acceptance, 2) factors encouraging usage, such as a doctor's endorsement or the appeal of tracking one's health, and 3) barriers to usage, such as insufficient education and training and the desire for additional functionality. Overall, participants found the smartwatch easy to use and were likely to continue using the device in a long-term study. Data generated from smartwatches have the potential to engage individuals about their health and could inspire them to participate more actively during clinical encounters.

Indexed as

implementationmHealthqualitative

Identifiers

PMID38737621
PMCPMC11081104

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.