{"title":"改进在线健康信息搜索器类型:应用患者健康参与模型。","authors":"Wendy Macias, Mina Lee","doi":"10.1111/hir.12486","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Despite numerous quantitative findings on online health information seeking, little is known about the process of online health information seeking itself.</p><p><strong>Objectives: </strong>The study aimed to learn about how adults search for health information online, whether Macias et al.'s Online Health Searcher Typology applies to a broader, non-university sample, and to better identify and understand online health searchers by employing the Patient Health Engagement (PHE) model.</p><p><strong>Methods: </strong>This study examined the role of engagement in online health information search processes using think-aloud qualitative interviews with 11 participants in their 30s to 70s. The research applied both thematic analysis and a quantitative coding scheme based on the PHE model to analyse the qualitative data that consists of 500 pages of think-aloud verbatim transcripts.</p><p><strong>Results: </strong>This study found that four (flounderer, skimmer, digester and devourer) out of five types emerged as distinct search styles. Insights into engagement helped distinguish online health searcher types in this sample.</p><p><strong>Conclusion: </strong>The dynamics of the engagement dimension indicate that the online health information search process is multi-dimensional. It is comprised of different levels of cognitive, emotional, and conative responses, further extending the PHE model. Health science librarians and health professionals have a unique opportunity to help individuals better navigate online health search.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Refining the online health information searcher typology: Applying the patient health engagement model.\",\"authors\":\"Wendy Macias, Mina Lee\",\"doi\":\"10.1111/hir.12486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Despite numerous quantitative findings on online health information seeking, little is known about the process of online health information seeking itself.</p><p><strong>Objectives: </strong>The study aimed to learn about how adults search for health information online, whether Macias et al.'s Online Health Searcher Typology applies to a broader, non-university sample, and to better identify and understand online health searchers by employing the Patient Health Engagement (PHE) model.</p><p><strong>Methods: </strong>This study examined the role of engagement in online health information search processes using think-aloud qualitative interviews with 11 participants in their 30s to 70s. The research applied both thematic analysis and a quantitative coding scheme based on the PHE model to analyse the qualitative data that consists of 500 pages of think-aloud verbatim transcripts.</p><p><strong>Results: </strong>This study found that four (flounderer, skimmer, digester and devourer) out of five types emerged as distinct search styles. Insights into engagement helped distinguish online health searcher types in this sample.</p><p><strong>Conclusion: </strong>The dynamics of the engagement dimension indicate that the online health information search process is multi-dimensional. It is comprised of different levels of cognitive, emotional, and conative responses, further extending the PHE model. Health science librarians and health professionals have a unique opportunity to help individuals better navigate online health search.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1111/hir.12486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1111/hir.12486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
Refining the online health information searcher typology: Applying the patient health engagement model.
Background: Despite numerous quantitative findings on online health information seeking, little is known about the process of online health information seeking itself.
Objectives: The study aimed to learn about how adults search for health information online, whether Macias et al.'s Online Health Searcher Typology applies to a broader, non-university sample, and to better identify and understand online health searchers by employing the Patient Health Engagement (PHE) model.
Methods: This study examined the role of engagement in online health information search processes using think-aloud qualitative interviews with 11 participants in their 30s to 70s. The research applied both thematic analysis and a quantitative coding scheme based on the PHE model to analyse the qualitative data that consists of 500 pages of think-aloud verbatim transcripts.
Results: This study found that four (flounderer, skimmer, digester and devourer) out of five types emerged as distinct search styles. Insights into engagement helped distinguish online health searcher types in this sample.
Conclusion: The dynamics of the engagement dimension indicate that the online health information search process is multi-dimensional. It is comprised of different levels of cognitive, emotional, and conative responses, further extending the PHE model. Health science librarians and health professionals have a unique opportunity to help individuals better navigate online health search.