Evidence map›Paper›PMID 30431393›Full record

Trial reportTelemedicine journal and e-health : the official journal of the American Telemedicine Association2019

The Effects of a Theory-Based Patient Portal e-Learning Program for Older Adults with Chronic Illnesses.

Eun-Shim Nahm, Shijun Zhu, Michele Bellantoni, Linda Keldsen, Vince Russomanno, Matt Rietschel, Tabassum Majid, HyoJin Son, Leslie Smith

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Telemedicine journal and e-health : the official journal of the American Telemedicine Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 5 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

30 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Interventions Addressing Health Literacy in Cancer Care: A Systematic Review of Reviews.International journal of environmental research and public health · 2025
    Pooled it
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  13. eHealth Literacy Interventions: Scoping Review.Interactive journal of medical research · 2025
    Review
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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

9 authors.

Eun-Shim NahmDepartment of Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, Maryland.
Shijun ZhuDepartment of Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, Maryland.
Michele BellantoniDivision of Geriatric Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Linda KeldsenVeterans Health Education, Nursing Affiliations & My HealtheVet, VA Maryland Health Care System, Baltimore, Maryland.
Vince RussomannoeHealth Initiatives, University of Maryland Medical System, Baltimore, Maryland.
Matt RietschelDepartment of Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, Maryland.
Tabassum MajidIntegrace Institute, Sykesville, Maryland.
HyoJin SonDepartment of Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, Maryland.
Leslie SmithSeniorNet, Ft Myers, Florida.

Funding

A Theory-Based Patient Portal eLearning Program for Older Adults with Chronic IllnessesR21HS024739 · AHRQ · UNIVERSITY OF MARYLAND BALTIMORE · PI NAHM, EUN-SHIM · 2016 to 2017
$300k
AHRQ HHS R21 HS024739
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Chronic DiseaseHealth LiteracyPatient Education as TopicPatient PortalsAgedFemaleHumansMaleMiddle Agedchronic illnessese-learningolder adultspatient portalusability

Identifiers

PMID30431393
PMCPMC6677633

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.