Google Health Search Trial
GHST
Accuracy of Differential Diagnosis From Google Health Search and Impact on Clinical Encounters
1 other identifier
interventional
300
1 country
2
Brief Summary
There are large differences in knowledge between patients and healthcare providers (i.e. physicians, physician assistants and nurse practitioners), and there is a strong interest on the part of both industry and academia to reduce the gap in knowledge between patients and healthcare providers. Currently, about 1 in 20 searches on Google are health related. Among internet users, 72% reported searching for health information, and among persons who use mobile phones, 31% of cell phone users and 52% of smartphone users have looked up health or medical information. Oftentimes, patients will search on Google or other search engines in order to find health conditions that explain their symptoms prior to visiting their healthcare provider. With the launch of Google's new health search tools for mobile devices (i.e. smartphones, tablets, etc.) it is important to understand how patients use these search platforms and what their effects are on clinical encounters. The main objective of this study is to understand the accuracy of differential diagnoses generated by Google searching; the investigators hypothesize that searching on Google using a tablet or mobile device will be more accurate than not using any search tool, and that the new health search experience will improve accuracy over the standard search platform.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Sep 2016
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 7, 2016
CompletedFirst Submitted
Initial submission to the registry
February 16, 2017
CompletedFirst Posted
Study publicly available on registry
March 8, 2017
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 9, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
August 15, 2017
CompletedApril 16, 2019
April 1, 2019
11 months
February 16, 2017
April 11, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Accuracy of patient's pre-visit differential diagnosis after Google searching on a tablet or mobile phone.
Proportion of patient's pre-visit differential diagnosis meeting the criteria of "match" with clinician post-visit differential diagnosis (i.e. Two of the three conditions on the clinician's differential diagnosis were more likely to be present in the patient's pre-visit assessment when a tablet or mobile phone was present).
Assessing diagnostic accuracy from baseline to up to one hour post-clinical encounter.
Secondary Outcomes (1)
Accuracy of differential diagnosis of Health Search vs. Standard Search
Assessing diagnostic accuracy from baseline to up to one hour post-clinical encounter.
Other Outcomes (1)
Changes in anxiety on a visual analog scale
Assessing a change in anxiety from baseline to up to one hour post clinical encounter.
Study Arms (3)
Health Search
EXPERIMENTALAccess to Health Knowledge Panels and Symptom Search Tool.
Standard Search
EXPERIMENTALNo access to Health Knowledge Panels and Symptom Search Tool, but access to prior version of Google search.
No Search
NO INTERVENTIONNo access to Health Knowledge Panels, Symptom Search Tool, prior version of Google search, or mobile device.
Interventions
Eligibility Criteria
You may qualify if:
- Adult patient \>= 18 years of age
- Presenting for care at urgent care or emergency department
- In search of a diagnosis to explain a new symptom or group of symptoms
You may not qualify if:
- Not literate, defined as lacking the ability to read and write (self-reported)
- Non-English Speaking (self-reported)
- Not mentally competent to provide consent due to inability to understand relevant information due to deficit in intelligence (e.g. mental retardation), memory (e.g., advanced dementia or significant delirium), or attention span (e.g., Attention Deficit Disorder (ADD) or mania) based on prior documentation in medical records or as judged by the researchers)
- Unable to use phone/tablet for any mental or physical impairment (e.g., blind) (self-reported)
- Exacerbation of chronic condition (self-reported)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Johns Hopkins Universitylead
- Google LLC.collaborator
Study Sites (2)
Johns Hopkins Bayview Medical Center
Baltimore, Maryland, 21224, United States
Johns Hopkins Hospital
Baltimore, Maryland, 21287, United States
Related Publications (1)
"Health Fact Sheet." Pew Research Center, Washington D.C. (December 16, 2013). http://www.pewinternet.org/fact-sheets/health-fact-sheet/.
BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Seth S Martin, MD, MHS
Johns Hopkins School of Medicine
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- CARE PROVIDER
- Masking Details
- Healthcare providers will not have knowledge of the interventions assigned to individual participants.
- Purpose
- OTHER
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 16, 2017
First Posted
March 8, 2017
Study Start
September 7, 2016
Primary Completion
August 9, 2017
Study Completion
August 15, 2017
Last Updated
April 16, 2019
Record last verified: 2019-04