Evidence map›Paper›PMID 28936236›Full record

ArticleJournal of mobile technology in medicine2017

Patient-oriented health technologies: Patients' perspectives and use.

Amy M Bauer, Tessa Rue, Sean A Munson, Reza Hosseini Ghomi, Gina A Keppel, Allison M Cole, Laura-Mae Baldwin, Wayne Katon

Abstract read
In one paragraph

Article in Journal of mobile technology in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. The Effects of a Theory-Based Patient Portal e-Learning Program for Older Adults with Chronic Illnesses.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2019
    Trial
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. The Implementation Chasm Hindering Genome-informed Health Care.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2020
    Article
  13. Article
  14. Article
  15. Smart Steps for Psychiatric Education: Approaching Smartphone Apps for Learning and Care.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2018
    Review
  16. Review
  17. Article
  18. 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

8 authors.

Amy M BauerPsychiatry and Behavioral Sciences, University of Washington, Seattle, USA.
Tessa RueBiostatistics, University of Washington, Seattle, USA.
Sean A MunsonHuman Centered Design & Engineering, University of Washington, Seattle, USA.
Reza Hosseini GhomiPsychiatry and Behavioral Sciences, University of Washington, Seattle, USA.
Gina A KeppelInstitute of Translational Health Sciences, University of Washington, Seattle, USA.
Allison M ColeInstitute of Translational Health Sciences, University of Washington, Seattle, USA.
Laura-Mae BaldwinHuman Centered Design & Engineering, University of Washington, Seattle, USA.
Wayne KatonPsychiatry and Behavioral Sciences, University of Washington, Seattle, USA.

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Institute of Translational Health SciencesKL2TR000421 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$12.6M
NCATS NIH HHS KL2 TR000421NCATS NIH HHS KL2 TR002317NCATS NIH HHS UL1 TR000423
6 · The paper itself

Abstract

backgroundFor patient-oriented mobile health tools to contribute meaningfully to improving healthcare delivery, widespread acceptance and use of such tools by patients are critical. However, little is known about patients' attitudes toward using health technology and their willingness to share health data with providers.

aimsTo investigate primary care patients' comfort sharing health information through mobile devices, and patients' awareness and use of patient portals.

methodsPatients (n=918) who visited one of 6 primary care clinics in the Northwest US completed a survey about health technology use, medical conditions, and demographics.

resultsMore patients were comfortable sharing mobile health information with providers than having third parties store their information (62% vs 30%, Somers D=.33, p<0.001). Patients older than 55 years were less likely to be comfortable sharing with providers (AORs 0.37-0.42, p<0.01). Only 39% of patients knew if their clinic offered a patient portal; however, of these, 67% used it. Health literacy limitations were associated with lower portal awareness (AOR=0.55, p=0.005) but not use. Portal use was higher among patients with a chronic condition (AOR= 3.18, p=0.004).

conclusionComfort, awareness, and use of health technologies were variable. Practices introducing patient-facing health technologies should promote awareness, address concerns about data security, and provide education and training, especially to older adults and those with health literacy limitations. Patient-facing health technologies provide an opportunity for delivering scalable health education and self-management support, particularly for patients with chronic conditions who are already using patient portals.

Indexed as

Health information technologiesHealth literacyMobile healthPrimary health care

Identifiers

PMID28936236
PMCPMC5603303

What OpenQuestion holds

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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.