Evidence map›Paper›PMID 28874946›Full record

ArticleThe western journal of emergency medicine2017

What Did You Google? Describing Online Health Information Search Patterns of ED patients and Their Relationship with Final Diagnoses.

Danielle M McCarthy, Grant N Scott, D Mark Courtney, Alyssa Czerniak, Amer Z Aldeen, Stephanie Gravenor, Scott M Dresden

Abstract read
In one paragraph

Article in The western journal of emergency medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Trial
  3. eHealth literacy in emergency care: a scoping review.BMC health services research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. The landscape of self-care in Australia: A pharmacy perspective.Exploratory research in clinical and social pharmacy · 2024
    Article
  10. When Patients Go to "Dr. Google" Before They Go to the Emergency Department.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
    Observational
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
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

7 authors.

Danielle M McCarthyNorthwestern University, Feinberg School of Medicine, Department of Emergency Medicine, Chicago, Illinois.
Grant N ScottUniversity of New Mexico, Department of Emergency Medicine, Albuquerque, New Mexico.
D Mark CourtneyNorthwestern University, Feinberg School of Medicine, Department of Emergency Medicine, Chicago, Illinois.
Alyssa CzerniakNorthwestern University, Feinberg School of Medicine, Department of Emergency Medicine, Chicago, Illinois.
Amer Z AldeenUS Acute Care Solutions, Center for Emergency Medical Education, Canton, Ohio.
Stephanie GravenorNorthwestern University, Feinberg School of Medicine, Department of Emergency Medicine, Chicago, Illinois.
Scott M DresdenNorthwestern University, Feinberg School of Medicine, Department of Emergency Medicine, Chicago, Illinois.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionEmergency department (ED) patients' Internet search terms prior to arrival have not been well characterized. The objective of this analysis was to characterize the Internet search terms patients used prior to ED arrival and their relationship to final diagnoses.

methodsWe collected data via survey; participants listed Internet search terms used. Terms were classified into categories: symptom, specific diagnosis, treatment options, anatomy questions, processes of care/physicians, or "other." We categorized each discharge diagnosis as either symptom-based or formal diagnosis. The relationship between the search term and final diagnosis was assigned to one of four categories of search/diagnosis combinations (symptom search/symptom diagnosis, symptom search/formal diagnosis, diagnosis search/symptom diagnosis, diagnosis search/formal diagnosis), representing different "trajectories."

resultsWe approached 889 patients; 723 (81.3%) participated. Of these, 177 (24.5%) used the Internet prior to ED presentation; however, seven had incomplete data (N=170). Mean age was 47 years (standard deviation 18.2); 58.6% were female and 65.7% white. We found that 61.7% searched symptoms and 40.6% searched a specific diagnosis. Most patients received discharge diagnoses of equal specificity as their search terms (34% flat trajectory-symptoms and 34% flat trajectory-diagnosis). Ten percent searched for a diagnosis by name but received a symptom-based discharge diagnosis with less specificity. In contrast, 22% searched for a symptom and received a detailed diagnosis. Among those who searched for a diagnosis by name (n=69) only 29% received the diagnosis that they had searched.

conclusionThe majority of patients used symptoms as the basis of their pre-ED presentation Internet search. When patients did search for specific diagnoses, only a minority searched for the diagnosis they eventually received.

Indexed as

AdultAgedConsumer Health InformationData CollectionDiagnosisEmergency Service, HospitalFemaleHealth EducationHumansInternetMaleMiddle AgedSearch EngineSurveys and Questionnaires

Identifiers

PMID28874946
PMCPMC5576630

What OpenQuestion holds

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LicenceCC BY
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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.