The effect of Dr Google on doctor–patient encounters in primary care: A quantitative, observational, cross-sectional study
Open accessAbstract
BACKGROUND: Two-thirds of all patients search the internet prior to a health consultation. AIM: To explore how searching for online health information before visiting a doctor influences patients' behaviour during the consultation. DESIGN & SETTING: A quantitative, observational, and cross-sectional study of 18-75-year-old patients who used the internet. METHOD: Patients were recruited by social media for the quantitative study. This was followed by a qualitiative study of GPs who were questioned in focus groups. Two questions were addressed: What is the effect of searching online health information on the behaviour of the patients? How does the GP handle this information? RESULTS: = 963) usually went to the doctor after the online information search but two-thirds were not reassured by the internet search. More than half of responders had more confidence in their GP after searching online. The older the responders, the more they went to the doctor after their internet search and the younger the responders, the more they were worried. The more frequently people consulted the internet for specific complaints, the more likely they reported reassurance. DISCUSSION: Patients usually made an appointment with their GP after the internet search. New symptoms are rarely noticed and the search usually did not lead patients to distrust their GP. The majority of GPs described positive effects of the online search behaviour on the consultation. CONCLUSION: The emerging use of the internet for searching health information, commonly referred to as 'Dr Google', is not seen as a threat by GPs and leads to a better mutual understanding of symptoms and diagnosis.
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The anecdotal use of internet searches for medical information, commonly referred to as "Dr Google", has been reported to facilitate the clinical encounter between the patient and the physician without impacting adherence to treatment.
“The anecdotal use of internet searches for medical information, commonly referred to as “Dr Google” has been reported to facilitate the clinical encounter between the patient and the physician [124,125] without impacting adherence to treatment [126].”
From Polycystic Ovary Syndrome and the Internet of Things: A Scoping Review (2024) · cites this paper as [125]
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The Rising Importance of e-Health in Norway
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- Authors
- Van Riel, N., Auwerx, K., Debbaut, P., Van Hees, S., & Schoenmakers, B.
- Affiliations
- KU Leuven (BE)
- Corresponding author
- Schoenmakers, Birgitte
- Venue
- BJGP Open
- Published
- 2017-05-16
- Volume
- 1
- Issue
- 2
- Pages
- bjgpopen17X100833
- ISSN
- 2398-3795 (ISSN-L)
- PMC
- PMC6169945
- OpenAlex
- W2616270221
- Cited by
- 159
- References
- 22
- Citations by year
- 2026: 24 · 2025: 31 · 2024: 33 · 2023: 21 · 2022: 15 · 2021: 9 · 2020: 12 · 2019: 10 · 2018: 3 · 2017: 1
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- BJGP Open (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Lirias (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Health Sciences › Health Professions › General Health Professions › Patient-Provider Communication in Healthcare
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Keywords
- online health information seeking, doctor-patient consultation, primary care, patient behavior, general practitioners, patient reassurance, GP attitudes
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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