Evidence map›Paper›PMID 26958236›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015

Understanding patients' health and technology attitudes for tailoring self-management interventions.

Katie O'Leary, Lisa Vizer, Jordan Eschler, James Ralston, Wanda Pratt

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
7.9field-weighted citation impact, top 3% of its field
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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  4. "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2020
    Article
  5. Article
  6. Using Priorities of Hospitalized Patients and Their Caregivers to Develop Personas.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  7. A technology-based patient and family engagement consult service for the pediatric hospital setting.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  8. Article
  9. Collaborative Health Reminders and Notifications: Insights from Prototypes.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Sharing Patient-Generated Data in Clinical Practices: An Interview Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    Article
  14. Article
  15. Article
  16. 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

5 authors at 2 institutions in 1 country.

Katie O'LearyUniversity of Washington, Seattle, WA;
Lisa VizerUniversity of Washington, Seattle, WA;
Jordan EschlerUniversity of Washington, Seattle, WA;
James RalstonGroup Health Research Institute, Seattle, WA.
Wanda PrattUniversity of Washington, Seattle, WA;
University of Washington · USKaiser Permanente Washington Health Research Institute · US

Funding

University of Washington Biomedical Informatics and Data Science Research Training ProgramT15LM007442 · NLM · UNIVERSITY OF WASHINGTON · PI JOHN H. GENNARI, Andrea L. Hartzler · 2002 to 2026
$19.6M
Patient Reminders and NotificationsR01HS021590 · AHRQ · KAISER FOUNDATION HEALTH PLAN OF WASHINGTON · PI RALSTON, JAMES D. · 2013 to 2015
$1.5M
AHRQ HHS R01 HS021590NLM NIH HHS T15 LM007442
6 · The paper itself

Abstract

Healthcare providers are moving towards tailoring self-management interventions to include the communication technologies patients use in daily life. Accurate understanding of patients' attitudes towards both technology and involvement in managing chronic conditions will be critical for informing effective self-management strategies. The tailoring of these interventions, however, could be undermined by providers' implicit biases based on patient age, race, and education level that have been shown to negatively affect care. To inform the design and tailoring of self-management interventions, we elicited attitudes toward technology use and participation in care of 40 participants in a maximum variation sample. The analysis revealed three participant clusters-"Proactive Techies," "Indie Self-Managers," and "Remind Me! Non-Techies"-that represent varying attitudes toward health behaviors and technologies that were independent of race, education level, and age. Our approach provides insight into how people prioritize important values related to health participation and technology.

Indexed as

Attitude to ComputersAttitude to HealthHealth BehaviorSelf CareSelf-ManagementAttitudeChronic DiseaseComputer LiteracyHumans

Identifiers

PMID26958236
PMCPMC4765611
OpenAlexW2419629020

What OpenQuestion holds

Textmetadata
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.