Evidence map›Paper›PMID 38450126›Full record

ArticleFrontiers in public health2024

Access to technology, internet usage, and online health information-seeking behaviors in a racially diverse, lower-income population.

Omolola E Adepoju, Maya Singh, Mary Tipton, Gerard Peperone, Marlen Trujillo, Chinedum Ojinnaka

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
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  5. Telemedicine in Coeliac Disease: In-Person Appointments Are Favoured by Patients With a Lower Education Attainment and Lower Household Income.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025
    Article
  6. Telemedicine-Related Opioid Use Disorder Services in Underserved Populations: A Qualitative Evaluation of the Waiver Era.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2025
    Article
  7. Article
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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

6 authors.

Omolola E AdepojuDepartment of Health Systems and Population Health Sciences, University of Houston, Houston, TX, United States.
Maya SinghHumana Integrated Health System Sciences Institutes, University of Houston, Houston, TX, United States.
Mary TiptonDepartment of Health Systems and Population Health Sciences, University of Houston, Houston, TX, United States.
Gerard PeperoneSpring Branch Community Health Center, Houston, TX, United States.
Marlen TrujilloSpring Branch Community Health Center, Houston, TX, United States.
Chinedum OjinnakaCollege of Health Solutions, Arizona State University, Tempe, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study examined access to technology, internet usage, and online health information-seeking behaviors, in a racially diverse, lower-income population. Methods: Data were obtained via a cross-sectional survey of low-income communities in Houston, Los Angeles, and New York between April and August 2023. Binary responses to the following online health information-seeking behaviors, internet and technology access, were examined: using the internet to (i) understand a medical diagnosis, (ii) fill a prescription, (iii) schedule a healthcare appointment, (iv) email communication with a healthcare provider, and (v) access electronic health records and medical notes. Results: 41% of survey respondents identified as non-Hispanic Black individuals, 33% as non-Hispanic White individuals, and 22% as Hispanic individuals. 69% reported a pre-tax annual household income of less than $35,000. 97% reported ownership/access to a smart device; 97% reported access to reliable internet. In the past year, only 59% reported using the internet to better understand their medical diagnosis, 36% reported filling a prescription online, 47% scheduled a medical appointment online, 47% viewed electronic health records online, and 56% emailed healthcare providers. Female sex, higher incomes, and having at least a bachelor's degree were significantly associated with all five online health information-seeking attributes. Conclusion: Despite high technology adoption rates, we observed suboptimal online health information-seeking behaviors. This underutilization has potential adverse implications for healthcare access and use given the documented advantage of HIT. Efforts to increase health information-seeking behaviors should explore the identification of HIT barriers, and patient education to increase familiarity and usage in this population.

Indexed as

Information Seeking BehaviorInternet UseCross-Sectional StudiesFemaleHumansIncomeInternethealth disparitiesinternet useperceptiontechnologytrust

Identifiers

PMID38450126
PMCPMC10914988

What OpenQuestion holds

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LicenceCC BY
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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.