Literature DB >> 14728167

What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the internet.

G Eysenbach1, Ch Kohler.   

Abstract

While health information is often said to be the most sought after information on the web, empirical data on the actual frequency of health-related searches on the web are missing. In the present study we aimed to determine the prevalence of health-related searches on the web by analyzing search terms entered by people into popular search engines. We also made some preliminary attempts in qualitatively describing and classifying these searches. Occasional difficulties in determining what constitutes a "health-related" search led us to propose and validate a simple method to automatically classify a search string as "health-related". This method is based on determining the proportion of pages on the web containing the search string and the word "health", as a proportion of the total number of pages with the search string alone. Using human codings as gold standard we plotted a ROC curve and determined empirically that if this "co-occurance rate" is larger than 35%, the search string can be said to be health-related (sensitivity: 85.2%, specificity 80.4%). The results of our "human" codings of search queries determined that about 4.5% of all searches are "health-related". We estimate that globally a minimum of 6.75 Million health-related searches are being conducted on the web every day, which is roughly the same number of searches that have been conducted on the NLM Medlars system in 1996 in a full year.

Entities:  

Mesh:

Year:  2003        PMID: 14728167      PMCID: PMC1480194     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  7 in total

Review 1.  Consumer health informatics.

Authors:  G Eysenbach
Journal:  BMJ       Date:  2000-06-24

Review 2.  Personal health information-seeking: a qualitative review of the literature.

Authors:  P Z Stavri
Journal:  Stud Health Technol Inform       Date:  2001

3.  A taxonomy of generic clinical questions: classification study.

Authors:  J W Ely; J A Osheroff; P N Gorman; M H Ebell; M L Chambliss; E A Pifer; P Z Stavri
Journal:  BMJ       Date:  2000-08-12

4.  Expanding the concept of medical information: an observational study of physicians' information needs.

Authors:  D E Forsythe; B G Buchanan; J A Osheroff; R A Miller
Journal:  Comput Biomed Res       Date:  1992-04

5.  Consumer health informatics: a consensus description and commentary from American Medical Informatics Association members.

Authors:  T K Houston; B L Chang; S Brown; R Kukafka
Journal:  Proc AMIA Symp       Date:  2001

6.  How do consumers search for and appraise health information on the world wide web? Qualitative study using focus groups, usability tests, and in-depth interviews.

Authors:  Gunther Eysenbach; Christian Köhler
Journal:  BMJ       Date:  2002-03-09

7.  Patients looking for information on the Internet and seeking teleadvice: motivation, expectations, and misconceptions as expressed in e-mails sent to physicians.

Authors:  G Eysenbach; T L Diepgen
Journal:  Arch Dermatol       Date:  1999-02
  7 in total
  49 in total

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Authors:  Lei Yang; Qiaozhu Mei; Kai Zheng; David A Hanauer
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Blocking of pornography-seeking behavior in digital image libraries: adventures in the skin trade.

Authors:  Christoph U Lehmann; Bernard A Cohen; George R Kim
Journal:  AMIA Annu Symp Proc       Date:  2005

3.  Infodemiology: tracking flu-related searches on the web for syndromic surveillance.

Authors:  Gunther Eysenbach
Journal:  AMIA Annu Symp Proc       Date:  2006

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Journal:  Curr Rev Musculoskelet Med       Date:  2016-12

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Authors:  John W Ayers; Benjamin M Althouse; Jon-Patrick Allem; Matthew A Childers; Waleed Zafar; Carl Latkin; Kurt M Ribisl; John S Brownstein
Journal:  J Affect Disord       Date:  2012-07-24       Impact factor: 4.839

6.  Seasonal trends in tinnitus symptomatology: evidence from Internet search engine query data.

Authors:  David T Plante; David G Ingram
Journal:  Eur Arch Otorhinolaryngol       Date:  2014-09-19       Impact factor: 2.503

7.  Beyond needs and expectations: identifying the barriers and facilitators to written medicine information provision and use in Australia.

Authors:  Kim K Hamrosi; Parisa Aslani; David K Raynor
Journal:  Health Expect       Date:  2012-03-06       Impact factor: 3.377

8.  The Informed Patient: An Analysis of Information Seeking Behavior and Surgical Outcomes Among Men With Benign Prostatic Hyperplasia.

Authors:  Haidar Abdul-Muhsin; Mark Tyson; Santanam Raghu; Mitchell Humphreys
Journal:  Am J Mens Health       Date:  2016-07-08

9.  Web usage data as a means of evaluating public health messaging and outreach.

Authors:  Hao Tian; Dana J Brimmer; Jin-Mann S Lin; Abbigail J Tumpey; William C Reeves
Journal:  J Med Internet Res       Date:  2009-12-21       Impact factor: 5.428

10.  Italian hospitals on the web: a cross-sectional analysis of official websites.

Authors:  Giovanni Maifredi; Grazia Orizio; Maura Bressanelli; Serena Domenighini; Cinzia Gasparotti; Eleonora Perini; Luigi Caimi; Peter J Schulz; Umberto Gelatti
Journal:  BMC Med Inform Decis Mak       Date:  2010-04-01       Impact factor: 2.796

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