Evidence map›Paper›PMID 30053809›Full record

ArticleBMC medical informatics and decision making2018

Patient portal adoption and use by hospitalized cancer patients: a retrospective study of its impact on adverse events, utilization, and patient satisfaction.

Duaa Aljabri, Adrian Dumitrascu, M Caroline Burton, Launia White, Mahmud Khan, Sudha Xirasagar, Ronnie Horner, James Naessens

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Trial
  4. Article
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  6. Improving transparency and empowerment for cancer patients by accessing their full online personal medical records.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  7. National trends in oncology specialists' EHR inbox work, 2019-2022.Journal of the National Cancer Institute · 2025
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  16. Assessment of medication adherence, medication safety awareness and medication practice among patients with lung cancer: A multicentre cross-sectional study.Health expectations : an international journal of public participation in health care and health policy · 2022
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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

8 authors.

Duaa AljabriDepartment of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA. daljabri@email.sc.edu.ORCID 0000-0002-2161-9932
Adrian DumitrascuDivision of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL, USA.
M Caroline BurtonDivision of Hospital Internal Medicine, Mayo Clinic, Jacksonville, FL, USA.
Launia WhiteDivision of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, FL, USA.
Mahmud KhanDepartment of Health Services Policy and Management, University of South Carolina, Columbia, SC, USA.
Sudha XirasagarDepartment of Health Services Policy and Management, University of South Carolina, Columbia, SC, USA.
Ronnie HornerDepartment of Health Services Policy and Management, University of South Carolina, Columbia, SC, USA.
James NaessensDepartment of Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPortal use has been studied among outpatients, but its utility and impact on inpatients is unclear. This study describes portal adoption and use among hospitalized cancer patients and investigates associations with selected safety, utilization, and satisfaction measures.

methodsA retrospective review of 4594 adult hospitalized cancer patients was conducted between 2012 and 2014 at Mayo Clinic in Jacksonville, Florida, comparing portal adopters, who registered for a portal account prior to hospitalization, with nonadopters. Adopters were classified by their portal activity during hospitalization as active or inactive inpatient users. Univariate and several logistic and linear regression models were used for analysis.

resultsOf total patients, 2352 (51.2%) were portal adopters, and of them, 632 (26.8%) were active inpatient users. Portal adoption was associated with patients who were young, female, married, with higher income, and had more frequent hospitalizations (P < .05). Active inpatient use was associated with patients who were young, married, nonlocals, with higher disease severity, and were hospitalized for medical treatment (P < .05). In univariate analyses, self-management knowledge scores were higher among adopters vs nonadopters (84.3 and 80.0, respectively; P = .01) and among active vs inactive inpatient users (87.0 and 83.3, respectively; P = .04). In regression models adjusted for age and disease severity, the association between portal behaviors and majority of measures were not significant (P > .05).

conclusionsOver half of our cancer inpatients adopted a portal prior to hospitalization, with increased adoption associated with predisposing and enabling determinants (eg: age, sex, marital status, income), and increased inpatient use associated with need (eg: nonlocal residence and disease severity). Additional research and greater effort to expand the portal functionality is needed to impact inpatient outcomes.

Indexed as

AdultAgedAged, 80 and overFacilities and Services UtilizationFemaleHospitalizationHumansInpatientsMaleMiddle AgedNeoplasmsPatient Acceptance of Health CarePatient PortalsPatient SatisfactionRetrospective StudiesAdverse eventsCancerHospitalizationPortalSatisfactionUtilization

Identifiers

PMID30053809
PMCPMC6062873

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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.