Comparing Google With A Focused Diabetes Search Engine

Completed

• Conditions: Diabetes

• Registration Number: NCT01080976
• Lead Sponsor: Beth Israel Deaconess Medical Center

Brief Summary

Abstract Diabetes behavior can be influenced by patients exploring diabetes topics that may lack scientific credibility. The question this study examines is whether a Google or Health on the Net (HON) internet search, presents websites that would incline a more or less likely recommendation to patients ? A preliminary trial suggests that referrers recommend websites based on rules that may prioritize website source over content. This study will qualitatively assess the rules that participants use in deciding which websites are more suitable than others.

Method The investigators will inject a diabetes related search term into a HON and a Google search engine. The top 5 mutually exclusive websites from each search engine will be presented to 5 people from three groups stratified across endocrinologists, informaticians and PCPs. Participants will rank the websites and then identify the rules that they applied to reach their decision.

Detailed Description

Not available

Study Timeline

• Study Start: 2010-03
• Study First Submitted: 2010-03-03
• Study First Submitted QC: 2010-03-04
• Study First Posted: 2010-03-05
• Primary Completion: 2010-09
• Study Completion: 2010-09
• Results First Submitted: 2017-03-27
• Status Verified: 2018-02
• Results First Submitted QC: 2018-02-01
• Last Update Submitted: 2018-02-01
• Results First Posted: 2018-02-07
• Last Update Posted: 2018-02-07

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 10

Inclusion Criteria

• physician, informatician, diabetologist

Exclusion Criteria

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Website Ranking	Immediate	Primary care and diabetes clinicians' preference in a set of webpage search results on a visual analog scale (1-100) with 1 being the lowest preference and 100 being the highest. Rankings based on qualitative measures, such as perceived clinical relevance, perceived accuracy of content, and perceived timeliness of content.
Search Engine Preference	Immediate	Based on the results of primary outcome 1 (Website Ranking), preference for search engine was measured qualitatively between Google and Health-on-the-Net.

Trial Locations

Locations (1)

Charles Safran; 🇺🇸 Brookline, Massachusetts, United States