Evidence map›Paper›PMID 30650448›Full record

ArticleApplied clinical informatics2019

Technology Access, Technical Assistance, and Disparities in Inpatient Portal Use.

Lisa V Grossman, Ruth M Masterson Creber, Jessica S Ancker, Beatriz Ryan, Fernanda Polubriaginof, Min Qian, Irma Alarcon, Susan Restaino, Suzanne Bakken, George Hripcsak and 1 more

Open access · bronzeAbstract 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.7field-weighted citation impact, top 4% 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.

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  13. Helping Patients Be Better Patients: A Qualitative Study of Perceptions About Inpatient Portal Use.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
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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

11 authors at 4 institutions in 1 country.

Lisa V GrossmanDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Ruth M Masterson CreberDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York, United States.
Jessica S AnckerDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, New York, United States.
Beatriz RyanValue Institute, New York-Presbyterian Hospital, New York, New York, United States.
Fernanda PolubriaginofValue Institute, New York-Presbyterian Hospital, New York, New York, United States.
Min QianDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, United States.
Irma AlarconDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Susan RestainoDepartment of Medicine, New York-Presbyterian Hospital, New York, New York, United States.
Suzanne BakkenDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
George HripcsakDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
David K VawdreyDepartment of Biomedical Informatics, Columbia University, New York, New York, United States.
Columbia University · USCornell University · USNewYork–Presbyterian Hospital · USNew York Hospital Queens · US

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
Should we return patient reported outcomes to human subjects participants?-exploring ethical obligationsR00NR016275 · NINR · WEILL MEDICAL COLL OF CORNELL UNIV · PI MASTERSON CREBER, RUTH MARIE · 2018 to 2020
$896k
mHealth for Heart Failure Symptom MonitoringK99NR016275 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MASTERSON CREBER, RUTH MARIE · 2016 to 2017
$182k
AHRQ HHS R01 HS021816NINR NIH HHS K99 NR016275NINR NIH HHS R00 NR016275NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

backgroundDisadvantaged populations, including minorities and the elderly, use patient portals less often than relatively more advantaged populations. Limited access to and experience with technology contribute to these disparities. Free access to devices, the Internet, and technical assistance may eliminate disparities in portal use.

objectiveTo examine predictors of MATERIALS AND

methodsThis subgroup analysis includes 146 intervention-arm participants from a pragmatic randomized controlled trial of an inpatient portal. The participants received free access to an iPad and inpatient portal while hospitalized on medical and surgical cardiac units, together with hands-on help using them. We used logistic regression to identify characteristics predictive of

resultsMore technology experience (adjusted odds ratio [OR] = 5.39, DISCUSSION AND

conclusionPortal use was not associated with several sociodemographic characteristics previously found to limit use in the inpatient setting. However, limited technology experience and high illness severity were still barriers to

Indexed as

Attitude to ComputersFemaleHealth Services AccessibilityHumansInpatientsInsurance, HealthMaleMiddle AgedPatient PortalsSurveys and Questionnaires

Identifiers

PMID30650448
PMCPMC6335107
OpenAlexW2909303696

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.