Evidence map›Paper›PMID 30727003›Full record

ArticleApplied clinical informatics2019

How Patients Use a Patient Portal: An Institutional Case Study of Demographics and Usage Patterns.

Raymond Tsai, Elijah J Bell, Hawkin Woo, Kevin Baldwin, Michael A Pfeffer

Open access · hybridAbstract read
In one paragraph

Article in Applied clinical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
10.7field-weighted citation impact, top 2% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

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  20. Secure Messaging and COVID-19: A Content Analysis of Patient-Clinician Communication During the Pandemic.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2022
    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 1 institution in 1 country.

Raymond TsaiDepartment of Health Information Technology, University of California, Los Angeles, California, United States.
Elijah J BellDepartment of Health Information Technology, University of California, Los Angeles, California, United States.
Hawkin WooDepartment of Health Information Technology, University of California, Los Angeles, California, United States.
Kevin BaldwinDepartment of Health Information Technology, University of California, Los Angeles, California, United States.
Michael A PfefferDepartment of Health Information Technology, University of California, Los Angeles, California, United States.
University of California, Los Angeles · US

Funding

NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
NCATS NIH HHS TL1 TR001883
6 · The paper itself

Abstract

backgroundGiven the widespread electronic health record adoption, there is increasing interest to leverage patient portals to improve care.

objectiveTo determine characteristics of patient portal users and the activities they accessed in the patient portal.

methodsWe performed a retrospective analysis of patient portal usage at University of California, Los Angeles, Health from July 2014 to May 2015. A total dataset of 505,503 patients was compiled with 396,303 patients who did not register for the patient portal and 109,200 patients who registered for a patient portal account. We compared patients who did not register for the online portal to the top 75th percentile of users based on number of logins, which was done to exclude those who only logged in to register. Finally, to avoid doing statistical analysis on too large of a sample and overpower the analysis, we performed statistical tests on a random sample of 300 patients in each of the two groups.

resultsPatient portal users tended to be older (49.45 vs. 46.22 years in the entire sample,

conclusionThere are differences between patient portal users and nonusers, and further understanding of these differences can serve as foundation for further investigation and possible interventions to drive patient engagement and health outcomes.

Indexed as

DemographyFemaleHumansMaleMiddle AgedPatient ParticipationPatient Portals

Identifiers

PMID30727003
PMCPMC6365289
OpenAlexW2912979893

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.