Evidence map›Paper›PMID 32025642›Full record

ArticleJAMIA open2019

Characterizing the impact of health literacy, computer ability, patient demographics, and portal usage on patient satisfaction with a patient portal.

Joseph Isaac Salientes Wong, Bryan D Steitz, Samuel Trent Rosenbloom

Abstract read
In one paragraph

Article in JAMIA open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Characterization of Adult Patients with Autism Spectrum Disorder that Use Patient Portal.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. 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

3 authors.

Joseph Isaac Salientes WongVanderbilt University School of Medicine, Nashville, Tennessee, USA.
Bryan D SteitzDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Samuel Trent RosenbloomDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

objectiveWe sought to measure patient portal satisfaction with patient portals and characterize its relationship to attitude towards computers, health literacy, portal usage, and patient demographics. MATERIALS AND

methodsWe invited 13 040 patients from an academic medical center to complete a survey measuring satisfaction, perceived control over computers, and health literacy using validated instruments (End User Computing Satisfaction, Computer Attitude Measure, and Brief Health Literacy Screen). We extracted portal usage and demographic information from the medical center data warehouse.

resultsA total of 6026 (46.2%) patients completed the survey. The median (IQR) scores for satisfaction, computer control, and health literacy were 87% (20%), 86% (22%), and 95% (15%), respectively. The normalized mean (SD) usage of messaging, lab, appointment, medication, and immunization functions were 6.6 (2.6), 4.6 (2.4), 3.1 (1.7), 1.5 (1.2), and 0.88 (0.91) times, respectively. Logistic regression yielded significant odds ratios [99% CI] for computer control (3.6 [2.5-5.2]), health literacy (12 [6.9-23]), and immunization function usage (0.84 [0.73-0.96]). DISCUSSION: Respondents were highly satisfied and had high degrees of computer control and health literacy. Statistical analysis revealed that higher computer control and health literacy predicted higher satisfaction, whereas usage of the immunization function predicted lower satisfaction. Overall, the analytical model had low predictive capability, suggesting that we failed to capture the main drivers of satisfaction, or there was inadequate variation in satisfaction to delineate its contributing factors.

conclusionThis study provides insight into patient satisfaction with and usage of a patient portal. These data can guide the development of the patient portal, with the ultimate goal of increasing functionality and usability to enhance the patient experience.

Indexed as

meaningful use internet portalpatient health information exchangespatient portalspersonal health recordssatisfaction

Identifiers

PMID32025642
PMCPMC6994001

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.