Consumer health information needs in China - a case study of depression based on a Social Q&A community
The social Q&A community quickly becomes a popular platform for consumers to find health information because of its convenience and interactivity. Based on the 10,861 depression questions collected in the Zhihu, the largest Q&A platform in China, we divided the healthy information needs desc...
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| Veröffentlicht in: | BMC medical informatics and decision making 2020-07, Vol.20 (Suppl 3), p.130-130, Article 130 |
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| container_title | BMC medical informatics and decision making |
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| creator | Zhao, Wang Lu, Peixin Yu, Siwei Lu, Long |
| description | The social Q&A community quickly becomes a popular platform for consumers to find health information because of its convenience and interactivity.
Based on the 10,861 depression questions collected in the Zhihu, the largest Q&A platform in China, we divided the healthy information needs description into nine categories with Latent Dirichlet Allocation (LDA). We also divided the healthy information needs type into Physiological, affective and cognitive needs based on the Wilson model.
The results show that the largest categories are depression symptom and social activities while the less concerned health information is prevention and medical insurance. More attention is paid to cognitive needs. We also find there is no strong correlation between attention and needs type.
The purpose of this paper is to refine the consumer health information needs types to better understand the consumer health information characteristic in China. |
| doi_str_mv | 10.1186/s12911-020-1124-1 |
| format | Article |
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Based on the 10,861 depression questions collected in the Zhihu, the largest Q&A platform in China, we divided the healthy information needs description into nine categories with Latent Dirichlet Allocation (LDA). We also divided the healthy information needs type into Physiological, affective and cognitive needs based on the Wilson model.
The results show that the largest categories are depression symptom and social activities while the less concerned health information is prevention and medical insurance. More attention is paid to cognitive needs. We also find there is no strong correlation between attention and needs type.
The purpose of this paper is to refine the consumer health information needs types to better understand the consumer health information characteristic in China.</description><identifier>ISSN: 1472-6947</identifier><identifier>EISSN: 1472-6947</identifier><identifier>DOI: 10.1186/s12911-020-1124-1</identifier><identifier>PMID: 32646418</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Analysis ; Cancer ; Case reports ; Case studies ; China ; Cognitive ability ; College students ; Consumer education ; Consumer Health Information ; Consumer research ; Consumers ; Content analysis ; Data collection ; Depression (Mood disorder) ; Depression - epidemiology ; Dirichlet problem ; Health insurance ; Humans ; Information seeking behavior ; Internet ; Mental depression ; Physiological aspects ; Questions and answers ; Social networks</subject><ispartof>BMC medical informatics and decision making, 2020-07, Vol.20 (Suppl 3), p.130-130, Article 130</ispartof><rights>COPYRIGHT 2020 BioMed Central Ltd.</rights><rights>2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s). 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4091-fa2f1948517587e2e5e07f6f526e21c89280047f066f350935568829bf47306c3</citedby><cites>FETCH-LOGICAL-c4091-fa2f1948517587e2e5e07f6f526e21c89280047f066f350935568829bf47306c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346318/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346318/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27922,27923,53789,53791</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32646418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Wang</creatorcontrib><creatorcontrib>Lu, Peixin</creatorcontrib><creatorcontrib>Yu, Siwei</creatorcontrib><creatorcontrib>Lu, Long</creatorcontrib><title>Consumer health information needs in China - a case study of depression based on a Social Q&A community</title><title>BMC medical informatics and decision making</title><addtitle>BMC Med Inform Decis Mak</addtitle><description>The social Q&A community quickly becomes a popular platform for consumers to find health information because of its convenience and interactivity.
Based on the 10,861 depression questions collected in the Zhihu, the largest Q&A platform in China, we divided the healthy information needs description into nine categories with Latent Dirichlet Allocation (LDA). We also divided the healthy information needs type into Physiological, affective and cognitive needs based on the Wilson model.
The results show that the largest categories are depression symptom and social activities while the less concerned health information is prevention and medical insurance. More attention is paid to cognitive needs. We also find there is no strong correlation between attention and needs type.
The purpose of this paper is to refine the consumer health information needs types to better understand the consumer health information characteristic in China.</description><subject>Analysis</subject><subject>Cancer</subject><subject>Case reports</subject><subject>Case studies</subject><subject>China</subject><subject>Cognitive ability</subject><subject>College students</subject><subject>Consumer education</subject><subject>Consumer Health Information</subject><subject>Consumer research</subject><subject>Consumers</subject><subject>Content analysis</subject><subject>Data collection</subject><subject>Depression (Mood disorder)</subject><subject>Depression - epidemiology</subject><subject>Dirichlet problem</subject><subject>Health insurance</subject><subject>Humans</subject><subject>Information seeking behavior</subject><subject>Internet</subject><subject>Mental depression</subject><subject>Physiological aspects</subject><subject>Questions and answers</subject><subject>Social networks</subject><issn>1472-6947</issn><issn>1472-6947</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNptUttq3DAQNaWhSdN-QF-KoFD64lSjm-WXwrL0BoFQ2j4LrTzaVbClrWUH9u8rs2mahKAHDTPnnLlwquoN0AsArT5mYC1ATRmtAZio4Vl1BqJhtWpF8_xefFq9zPmaUmg0ly-qU86UUAL0WbVdp5jnAUeyQ9tPOxKiT-Ngp5AiiYhdLhmy3oVoSU0scTYjydPcHUjypMP9iDkv2E0pdKQElvxMLtie_Hi_Ii4NwxzDdHhVnXjbZ3x9-59Xv798_rX-Vl9eff2-Xl3WTtAWam-Zh1ZoCY3UDTKUSBuvvGQKGTjdMk2paDxVynNJWy6l0pq1Gy8aTpXj59Wno-5-3gzYOYzTaHuzH8Ngx4NJNpiHlRh2ZptuTMOF4qCLwIdbgTH9mTFPZgjZYd_biGnOhgnGqWwbLgv03SPodZrHWNZbUMtAXOn_qK3t0SznLX3dImpWS8cWGF9QF0-gyutwCC5F9KHkHxDgSHBjynlEf7cjULO4wxzdYYo7zOIOA4Xz9v5x7hj_7MD_AsizsbY</recordid><startdate>20200709</startdate><enddate>20200709</enddate><creator>Zhao, Wang</creator><creator>Lu, Peixin</creator><creator>Yu, Siwei</creator><creator>Lu, Long</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7SC</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>88E</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>K9.</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M7P</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20200709</creationdate><title>Consumer health information needs in China - a case study of depression based on a Social Q&A community</title><author>Zhao, Wang ; Lu, Peixin ; Yu, Siwei ; Lu, Long</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4091-fa2f1948517587e2e5e07f6f526e21c89280047f066f350935568829bf47306c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Cancer</topic><topic>Case reports</topic><topic>Case studies</topic><topic>China</topic><topic>Cognitive ability</topic><topic>College students</topic><topic>Consumer education</topic><topic>Consumer Health Information</topic><topic>Consumer research</topic><topic>Consumers</topic><topic>Content analysis</topic><topic>Data collection</topic><topic>Depression (Mood disorder)</topic><topic>Depression - epidemiology</topic><topic>Dirichlet problem</topic><topic>Health insurance</topic><topic>Humans</topic><topic>Information seeking behavior</topic><topic>Internet</topic><topic>Mental depression</topic><topic>Physiological aspects</topic><topic>Questions and answers</topic><topic>Social networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Wang</creatorcontrib><creatorcontrib>Lu, Peixin</creatorcontrib><creatorcontrib>Yu, Siwei</creatorcontrib><creatorcontrib>Lu, Long</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Computing Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>BMC medical informatics and decision making</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Wang</au><au>Lu, Peixin</au><au>Yu, Siwei</au><au>Lu, Long</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Consumer health information needs in China - a case study of depression based on a Social Q&A community</atitle><jtitle>BMC medical informatics and decision making</jtitle><addtitle>BMC Med Inform Decis Mak</addtitle><date>2020-07-09</date><risdate>2020</risdate><volume>20</volume><issue>Suppl 3</issue><spage>130</spage><epage>130</epage><pages>130-130</pages><artnum>130</artnum><issn>1472-6947</issn><eissn>1472-6947</eissn><abstract>The social Q&A community quickly becomes a popular platform for consumers to find health information because of its convenience and interactivity.
Based on the 10,861 depression questions collected in the Zhihu, the largest Q&A platform in China, we divided the healthy information needs description into nine categories with Latent Dirichlet Allocation (LDA). We also divided the healthy information needs type into Physiological, affective and cognitive needs based on the Wilson model.
The results show that the largest categories are depression symptom and social activities while the less concerned health information is prevention and medical insurance. More attention is paid to cognitive needs. We also find there is no strong correlation between attention and needs type.
The purpose of this paper is to refine the consumer health information needs types to better understand the consumer health information characteristic in China.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>32646418</pmid><doi>10.1186/s12911-020-1124-1</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Analysis Cancer Case reports Case studies China Cognitive ability College students Consumer education Consumer Health Information Consumer research Consumers Content analysis Data collection Depression (Mood disorder) Depression - epidemiology Dirichlet problem Health insurance Humans Information seeking behavior Internet Mental depression Physiological aspects Questions and answers Social networks |
| title | Consumer health information needs in China - a case study of depression based on a Social Q&A community |
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