J. Med. Internet Res. - Comparative analysis of online health queries originating from personal computers and smart devices on a consumer health information portal.


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CKGROUND: The number of people using the Internet and mobile/smart devices for health information seeking is increasing rapidly. Although the user experience for online health information seeking varies with the device used, for example, smart devices (SDs) like smartphones/tablets versus personal computers (PCs) like desktops/laptops, very few studies have investigated how online health information seeking behavior (OHISB) may differ by device.OBJECTIVE: The objective of this study is to examine differences in OHISB between PCs and SDs through a comparative analysis of large-scale health search queries submitted through Web search engines from both types of devices.METHODS: Using the Web analytics tool, IBM NetInsight OnDemand, and based on the type of devices used (PCs or SDs), we obtained the most frequent health search queries between June 2011 and May 2013 that were submitted on Web search engines and directed users to the Mayo Clinic's consumer health information website. We performed analyses on "Queries with considering repetition counts (QwR)" and "Queries without considering repetition counts (QwoR)". The dataset contains (1) 2.74 million and 3.94 million QwoR, respectively for PCs and SDs, and (2) more than 100 million QwR for both PCs and SDs. We analyzed structural properties of the queries (length of the search queries, usage of query operators and special characters in health queries), types of search queries (keyword-based, wh-questions, yes/no questions), categorization of the queries based on health categories and information mentioned in the queries (gender, age-groups, temporal references), misspellings in the health queries, and the linguistic structure of the health queries.RESULTS: Query strings used for health information searching via PCs and SDs differ by almost 50%. The most searched health categories are "Symptoms" (1 in 3 search queries), "Causes", and "Treatments & Drugs". The distribution of search queries for different health categories differs with the device used for the search. Health queries tend to be longer and more specific than general search queries. Health queries from SDs are longer and have slightly fewer spelling mistakes than those from PCs. Users specify words related to women and children more often than that of men and any other age group. Most of the health queries are formulated using keywords; the second-most common are wh- and yes/no questions. Users ask more health questions using SDs than PCs. Almost all health queries have at least one noun and health queries from SDs are more descriptive than those from PCs.CONCLUSIONS: This study is a large-scale comparative analysis of health search queries to understand the effects of device type (PCs vs. SDs) used on OHISB. The study indicates that the device used for online health information search plays an important role in shaping how health information searches by consumers and patients are executed.

Resumo Limpo

ckground number peopl use internet mobilesmart devic health inform seek increas rapid although user experi onlin health inform seek vari devic use exampl smart devic sds like smartphonestablet versus person comput pcs like desktopslaptop studi investig onlin health inform seek behavior ohisb may differ deviceobject object studi examin differ ohisb pcs sds compar analysi largescal health search queri submit web search engin type devicesmethod use web analyt tool ibm netinsight ondemand base type devic use pcs sds obtain frequent health search queri june may submit web search engin direct user mayo clinic consum health inform websit perform analys queri consid repetit count qwr queri without consid repetit count qwor dataset contain million million qwor respect pcs sds million qwr pcs sds analyz structur properti queri length search queri usag queri oper special charact health queri type search queri keywordbas whquestion yesno question categor queri base health categori inform mention queri gender agegroup tempor refer misspel health queri linguist structur health queriesresult queri string use health inform search via pcs sds differ almost search health categori symptom search queri caus treatment drug distribut search queri differ health categori differ devic use search health queri tend longer specif general search queri health queri sds longer slight fewer spell mistak pcs user specifi word relat women children often men age group health queri formul use keyword secondmost common wh yesno question user ask health question use sds pcs almost health queri least one noun health queri sds descript pcsconclus studi largescal compar analysi health search queri understand effect devic type pcs vs sds use ohisb studi indic devic use onlin health inform search play import role shape health inform search consum patient execut

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