Evidence map›Paper›PMID 31586367›Full record

ArticleJournal of medical Internet research2019

Disparities in Electronic Patient Portal Use in Prenatal Care: Retrospective Cohort Study.

Erinma P Ukoha, Joe Feinglass, Lynn M Yee

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
7.7field-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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Erinma P UkohaDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0002-4857-0999
Joe FeinglassDivision of General Internal Medicine and Geriatrics, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-3665-8897
Lynn M YeeDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.ORCID 0000-0002-6274-0544
Northwestern University · USUniversity of California, San Francisco · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Research Career Development in Obstetrics and GynecologyK12HD050121 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Serdar E. Bulun · 2005 to 2026
$7.2M
NCATS NIH HHS UL1 TR001422NICHD NIH HHS K12 HD050121
6 · The paper itself

Abstract

backgroundElectronic patient portals are websites that provide individuals access to their personal health records and allow them to engage through a secure Web-based platform. These portals are becoming increasingly popular in contemporary health care systems. Patient portal use has been found to be beneficial in multiple specialties, especially in the management of chronic disease. However, disparities have been identified in portal use in which racial and ethnic minorities and individuals with lower socioeconomic status have been shown to be less likely to enroll and use patient portals than non-Hispanic white persons and individuals with higher socioeconomic status. Electronic patient portal use by childbearing women has not been well studied, and data on portal use during pregnancy are limited.

objectiveThis study aimed to quantify the use of an electronic patient portal during pregnancy and examine whether disparities related to patients' demographics or clinical characteristics exist.

methodsThis was a retrospective cohort study of women who received prenatal care at an academic medical center from 2014 to 2016. Clinical records were reviewed for portal use and patient data. Patients were considered enrolled in the portal if they had an account at the time of delivery, and enrollees were compared with nonenrollees. Enrollees were further categorized based on the number of secure messages sent during pregnancy as active (≥1) or inactive (0) users. Bivariable chi-square and multivariable Poisson regression models were used to calculate the incidence rate ratio of portal enrollment and, if enrolled, of active use based on patients' characteristics.

resultsOf the 3450 women eligible for inclusion, 2530 (73.33%) enrolled in the portal. Of these enrollees, 72.09% (1824/2530) were active users. There was no difference in portal enrollment by maternal race and ethnicity on multivariable models. Women with public insurance (adjusted incidence rate ratio; aIRR 0.60, 95% CI 0.49-0.84), late enrollment in prenatal care (aIRR 0.78, 95% CI 0.69-0.89 for second trimester and aIRR 0.50, 95% CI 0.39-0.64 for third trimester), and high-risk pregnancies (aIRR 0.82, 95% CI 0.75-0.89) were significantly less likely to enroll. Conversely, nulliparity (aIRR 1.10, 95% CI 1.02-1.20) and having more than 8 prescription medications at prenatal care initiation (aIRR 1.19, 95% CI 1.06-1.32) were associated with greater likelihood of enrollment. Among portal enrollees, the only factor significantly associated with active portal use (ie, secure messaging) was nulliparity (aIRR 1.11, 95% CI 1.01-1.23).

conclusionsAmong an obstetric population, multiple clinical and socioeconomic factors were associated with electronic portal enrollment, but not subsequent active use. As portals become more integrated as tools to promote health, efforts should be made to ensure that already vulnerable populations are not further disadvantaged with regard to electronic-based care.

Indexed as

AdolescentAdultCohort StudiesElectronic Health RecordsFemaleHealthcare DisparitiesHumansMaleMiddle AgedPatient PortalsPregnancyPrenatal CareRetrospective StudiesYoung Adultcohort studiespatient portalspregnancysocioeconomic factors

Identifiers

PMID31586367
PMCPMC6818527
OpenAlexW2963606437

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.