Evidence map›Paper›PMID 29728350›Full record

ArticleJournal of medical Internet research2018

Reducing Negative Outcomes of Online Consumer Health Information: Qualitative Interpretive Study with Clinicians, Librarians, and Consumers.

Reem El Sherif, Pierre Pluye, Christine Thoër, Charo Rodriguez

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
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

23 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Consumer Health Information: A Narrative Review.Medical journal of the Islamic Republic of Iran · 2026
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  15. The "Lactation After Infant Death (AID) Framework": A Guide for Online Health Information Provision About Lactation After Stillbirth and Infant Death.Journal of human lactation : official journal of International Lactation Consultant Association · 2020
    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

4 authors at 2 institutions in 1 country.

Reem El SherifDepartment of Family Medicine, McGill University, Montreal, QC, Canada.ORCID 0000-0002-6392-517X
Pierre PluyeDepartment of Family Medicine, McGill University, Montreal, QC, Canada.ORCID 0000-0002-9274-7720
Christine ThoërDepartment of Social and Public Communication, University of Quebec in Montreal, Montreal, QC, Canada.ORCID 0000-0001-5910-0821
Charo RodriguezDepartment of Family Medicine, McGill University, Montreal, QC, Canada.ORCID 0000-0003-3799-8399
McGill University · CAUniversité du Québec à Montréal · CA

Funding

CIHR KRS-132042
6 · The paper itself

Abstract

backgroundThere has been an exponential increase in the general population's usage of the internet and of information accessibility; the current demand for online consumer health information (OCHI) is unprecedented. There are multiple studies on internet access and usage, quality of information, and information needs. However, few studies explored negative outcomes of OCHI in detail or from different perspectives, and none examined how these negative outcomes could be reduced.

objectiveThe aim of this study was to describe negative outcomes associated with OCHI use in primary care and identify potential preventive strategies from consumers', health practitioners', and health librarians' perspectives.

methodsThis included a two-stage interpretive qualitative study. In the first stage, we recruited through a social media survey, a purposeful sample of 19 OCHI users who had experienced negative outcomes associated with OCHI. We conducted semistructured interviews and performed a deductive-inductive thematic analysis. The results also informed the creation of vignettes that were used in the next stage. In the second stage, we interviewed a convenient sample of 10 key informants: 7 health practitioners (3 family physicians, 2 nurses, and 2 pharmacists) and 3 health librarians. With the support of the vignettes, we asked participants to elaborate on (1) their experience with patients who have used OCHI and experienced negative outcomes and (2) what strategies they suggest to reduce these outcomes. We performed a deductive-inductive thematic analysis.

resultsWe found that negative outcomes of OCHI may occur at three levels: internal (such as increased worrying), interpersonal (such as a tension in the patient-clinician relationship), and service-related (such as postponing a clinical encounter). Participants also proposed three types of strategies to reduce the occurrence of these negative outcomes, namely, providing consumers with reliable OCHI, educating consumers on how to assess OCHI websites, and helping consumers present and discuss the OCHI they find with a health professional in their social network or a librarian for instance.

conclusionsWe examined negative outcomes associated with using OCHI from five complementary perspectives (consumers, family physicians, pharmacists, nurses, and health librarians). We identified a construct of OCHI use-related tension that included and framed all negative outcomes. This construct has three dimensions (three interdependent levels): internal, interpersonal, and service-related tensions. Future research can focus on the implementation and effectiveness of the proposed strategies, which might contribute to reducing these tensions.

Indexed as

AdolescentAdultConsumer BehaviorConsumer Health InformationFemaleHumansInternetLibrariansMalePhysiciansQualitative ResearchSurveys and QuestionnairesYoung Adultconsumer health informationinternetprofessional-patient relationsqualitative research

Identifiers

PMID29728350
PMCPMC5960043
OpenAlexW2800814333

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.