Evidence map›Paper›PMID 40971609›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2025

A self-report measure of digital skills needed to use digital health tools among older adults-the Skills Measurement and Readiness Training for Digital Health (SMART Digital Health) Scale.

Lina Tieu, Courtney R Lyles, Hyunjin Cindy Kim, Isabel Luna, Jeanette Wong, Naomi Lopez-Solano, Junhong Li, Andersen Yang, Jorge A Rodriguez, Oanh Kieu Nguyen and 5 more

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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. Article
  2. Article
  3. Article
  4. Article
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

15 authors.

Lina TieuCenter for Healthcare Policy and Research, University of California, Davis, Sacramento, CA 95817, United States.ORCID 0000-0002-9980-0774
Courtney R LylesCenter for Healthcare Policy and Research, University of California, Davis, Sacramento, CA 95817, United States.
Hyunjin Cindy KimDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Isabel LunaDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Jeanette WongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Naomi Lopez-SolanoDivision of Hospital Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Junhong LiDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Andersen YangDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Jorge A RodriguezDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA 02115, United States.
Oanh Kieu NguyenAction Research Center for Health Equity, Zuckerberg San Francisco General Hospital, University of California, San Francisco, San Francisco, CA 94143, United States.ORCID 0000-0002-4614-0215
Alejandra CasillasDivision of General Internal Medicine and Health Services Research, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90024, United States.
Emilia H De MarchisDepartment of Family & Community Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.
Anita L StewartCenter for Aging in Diverse Communities, Institute for Health & Aging, University of California, San Francisco, San Francisco, CA 94143, United States.
Torsten B NeilandsCenter for Aging in Diverse Communities, Institute for Health & Aging, University of California, San Francisco, San Francisco, CA 94143, United States.
Elaine C KhoongDivision of General Internal Medicine at Zuckerberg San Francisco General Hospital, Department of Medicine, University of California, San Francisco, San Francisco, CA 94110, United States.ORCID 0000-0002-2514-3572

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Torsten Brian Neilands · 1997 to 2026
$19.5M
Training Program In Basic & Translational Cardiovascular ScienceT32HL086350 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Martin Cadeiras, David A. Liem · 2008 to 2026
$7.1M
Understanding the Impact of Technology Access and Digital Literacy on Post-Discharge Care and Hospital Readmissions in Adults with Cardiovascular DiseaseR03HL157931 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NGUYEN, OANH KIEU · 2021 to 2022
$162k
National Institute on Aging of the National Institutes of Health P30AG015272NHLBI NIH HHS R03 HL157931NHLBI NIH HHS R03HL157931NIA NIH HHS P30 AG015272NIH/National Heart, Lung & Blood Institute (NHLBI) UC Davis Training Program in Basic and Translational Cardiovascular Science T32HL086350UCSF Population Health and Health Equity
6 · The paper itself

Abstract

objectiveTo identify a brief scale to accurately assess digital skills among older adults for use in identifying need for support to use digital health tools. MATERIALS AND

methodsPatients age ≥50 speaking English, Spanish, or Cantonese completed surveys (n = 186) assessing digital health access, use, and skills. A subsample (n = 101) completed observational task assessments gauging competency on 4 tasks essential to digital health skills: (1) launch a video visit from an email/text message hyperlink, (2) visit a specific health website, (3) sign up for a patient portal, and (4) log in to a patient portal. We used exploratory factor analysis, receiver operator characteristic, logistic regression, and dominance analysis methods to identify and evaluate a scale measuring digital skills essential to using digital health tools.

resultsWe found that a 9-item scale demonstrated unidimensionality and reliability (Cronbach's alpha 0.93) in measuring digital skills. Mean score was 19.3 out of 36. For each task, handout/video support was inadequate in facilitating completion for one-quarter of participants. We found high accuracy of the scale in predicting digital health competency (area under the curve 0.77-0.88). DISCUSSION: The Skills Measurement and Readiness Training for Digital Health (SMART Digital Health) scale is a measure of digital skills with evidence of reliability and validity to be used as a diagnostic tool to identify patients requiring support to use digital health tools.

conclusionThis early work supports the identification of patients with digital literacy needs who may require interventions to effectively engage in digital health communication and management.

Indexed as

Computer LiteracyHealth LiteracySelf ReportTelemedicineAgedAged, 80 and overDigital HealthFemaleHumansMaleMiddle AgedPatient PortalsReproducibility of ResultsSurveys and Questionnairesdigital dividedigital healthdigital health technologyquestionnaire designsocial determinants of health

Identifiers

PMID40971609
PMCPMC12626212

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.