Evidence mapPaperPMID 41555780Full record

ArticleThe Permanente journal2026

Research Paradigm Mismatch: How Patients and Health Care Professionals Seek Health-Related Information Online.

John Geracitano, Kaushalya Mendis, Saif Khairat

Abstract read
In one paragraph

Article in The Permanente journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

John GeracitanoCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0009-0003-6029-1778
Kaushalya MendisSchool of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-2668-3404
Saif KhairatCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-8992-2946

Funding

Center for Virtual Care Value and Excellence (ViVE). RC2TR004380 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2025 to 2025
$750k
NCATS NIH HHS RC2 TR004380
6 · The paper itself

Abstract

introductionUnderstanding how patients and health care professionals seek and interpret health information online helps to mitigate knowledge gaps at decision points, leading to improved shared decision-making and better health outcomes. The objective of this study was to improve decision-making by identifing themes in how patients, practitioners, and health care researchers seek health information online.

methodsThis qualitative focus group study occurred from October 2024 to February 2025. An inductive thematic analysis was used to identify emerging themes directly from the sessions.

resultsA total of 31 participants took part in 7 focus group sessions. Of the participants, 65% were female, 52% self-identified as White, and 62% were between 18 and 34 years. Regarding level of education, 4 participants (13%) had a high school diploma/general educational development degree, although 81% had a bachelor's or graduate-level degree. Four participants (13%) were nonnative English speakers. Three major themes emerged surrounding online sources, social media usage, and trust. DISCUSSION AND

conclusionThis study revealed critical divergences in online health information-seeking across stakeholder groups. Patients increasingly rely on social media platforms like Reddit and TikTok for peer-driven narratives, whereas practitioners are more inclined to exclusively consult peer-reviewed literature. This divide creates information asymmetry that can undermine shared decision-making when patients are informed by experiential knowledge that practitioners lack or dismiss. All groups began online searches with Google but followed distinct pathways and relied primarily on surface-level credibility markers rather than systematic evaluation. To bridge these divides, the authors recommend integrating patient-sourced information training into medical education, incorporating information-seeking discussions into clinical encounters, and developing resources that bridge experiential and clinical knowledge. Researchers should also accelerate evidence translation through rapid translation mechanisms and partnerships with trusted platforms. As artificial intelligence tools increasingly shape health information access, understanding these evolving patterns remains essential for effective collaborative decision-making and potentially improved health outcomes.

Indexed as

Consumer Health InformationHealth PersonnelInformation Seeking BehaviorAdolescentAdultDecision MakingDigital MediaFemaleFocus GroupsHumansInternetMaleMiddle AgedQualitative ResearchSocial MediaTrustfocus grouphealthcare providerhealth-related informationmisinformationsocial mediatrust

Identifiers

PMID41555780
PMCPMC13266775

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.