Evidence map›Paper›PMID 27497797›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2017

eHealth patient-provider communication in the United States: interest, inequalities, and predictors.

Kiara K Spooner, Jason L Salemi, Hamisu M Salihu, Roger J Zoorob

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07073898 (Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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.

NCT07073898 nacompletednot on this mapstarted 2025, after this paper: background citation

Population Health Management Approaches to Increase Lung Cancer Screening in Community Health Centers - UG3 Pilot Clinical Trial

TypeinterventionalSponsorUniversity of UtahRan2025 to 2026Enrolled65ConditionsLung CancerArmsRepeated Text Messages (TM+), Conversational Agent (CA), Educational Video, Proactive Patient Navigation (PPN), Reactive Patient Navigation (RPN)
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Inequity in Access and Delivery of Virtual Care Interventions: A Scoping Review.International journal of environmental research and public health · 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

4 authors.

Kiara K SpoonerDepartment of Family and Community Medicine, Baylor College of Medicine, Houston, Texas.
Jason L SalemiDepartment of Family and Community Medicine, Baylor College of Medicine, Houston, Texas.
Hamisu M SalihuDepartment of Family and Community Medicine, Baylor College of Medicine, Houston, Texas.
Roger J ZoorobBaylor College of Medicine, Houston, Texas.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHealth-related Internet use and eHealth technologies, including online patient-provider communication (PPC), are continually being integrated into health care environments. This study aimed to describe sociodemographic and health- and Internet-related correlates that influence adult patients' interest in and electronic exchange of medical information with health care providers in the United States.

methodsNationally representative cross-sectional data from the 2014 Health Information National Trends Survey ( N  = 3677) were analyzed. Descriptive statistics and multivariable regression analyses were performed to examine associations between patient-level characteristics and online PPC behavior and interests.

resultsMost respondents were Internet users (82.8%), and 61.5% of information seekers designated the Internet as their first source for health information. Younger respondents (<50 years), Hispanics, those from higher-income households, and those perceiving access to personal health information as important were more likely to be interested in online PPC. Despite varying levels of patient interest, 68.5% had no online PPC in the last year. However, Internet users (odds ratio, OR = 2.87, 95% CI, 1.35-6.08), college graduates (OR = 2.92, 95% CI, 1.42-5.99), and those with frequent provider visits (OR = 1.94, 95% CI, 1.02-3.71) had a higher likelihood of online PPC via email or fax, while Hispanics and those from higher-income households were 2-3 times more likely to communicate via text messaging or phone/mobile apps.

conclusionPatients' interest in and display of online PPC-related behaviors vary by age, race/ethnicity, education, income, Internet access/behaviors, and information type. These findings can inform efforts aimed at improving the use and adoption of eHealth technologies, which may contribute to a reduction in communication inequalities and health care disparities.

Indexed as

CommunicationProfessional-Patient RelationsAccess to InformationAdolescentAdultAgedCross-Sectional StudiesFemaleHealth SurveysHumansInformation Seeking BehaviorInternetMaleMiddle AgedSocioeconomic FactorsTelemedicineeHealthelectronic patient-provider communicationnational health survey

Identifiers

PMID27497797
PMCPMC7651920

What OpenQuestion holds

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Registered trials

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.