Sunmoo Yoon, Robert Lucero, Mary S Mittelman, José A Luchsinger, Suzanne Bakken
{"title":"挖掘Twitter为西班牙裔阿尔茨海默病和相关痴呆症护理人员的在线干预设计提供信息","authors":"Sunmoo Yoon, Robert Lucero, Mary S Mittelman, José A Luchsinger, Suzanne Bakken","doi":"10.1177/1540415319882777","DOIUrl":null,"url":null,"abstract":"<p><strong>Background/objective: </strong>Hispanics are about 1.5 times as likely as non-Hispanic Whites to experience Alzheimer's disease and related dementias (AD/ADRD). Eight percent of AD/ADRD caregivers are Hispanics. The purpose of this article is to provide a methodological case study of using data mining methods and the Twitter platform to inform online self-management and social support intervention design and evaluation for Hispanic AD/ADRD caregivers. It will enable other researchers to replicate the methods for their phenomena of interest.</p><p><strong>Method: </strong>We extracted an analytic corpus of 317,658 English and Spanish tweets, applied content mining (topic models) and network structure analysis (macro-, meso-, and micro-levels) methods, and created visualizations of results.</p><p><strong>Results: </strong>The topic models showed differences in content between English and Spanish tweet corpora and between years analyzed. Our methods detected significant structural changes between years including increases in network size and subgroups, decrease in proportion of isolates, and increase in proportion of triads of the balanced communication type.</p><p><strong>Discussion/conclusion: </strong>Each analysis revealed key lessons that informed the design and/or evaluation of online self-management and social support interventions for Hispanic AD/ADRD caregivers. These lessons are relevant to others wishing to use Twitter to characterize a particular phenomenon or as an intervention platform.</p>","PeriodicalId":35432,"journal":{"name":"Hispanic Health Care International","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mining Twitter to Inform the Design of Online Interventions for Hispanic Alzheimer's Disease and Related Dementias Caregivers.\",\"authors\":\"Sunmoo Yoon, Robert Lucero, Mary S Mittelman, José A Luchsinger, Suzanne Bakken\",\"doi\":\"10.1177/1540415319882777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background/objective: </strong>Hispanics are about 1.5 times as likely as non-Hispanic Whites to experience Alzheimer's disease and related dementias (AD/ADRD). Eight percent of AD/ADRD caregivers are Hispanics. The purpose of this article is to provide a methodological case study of using data mining methods and the Twitter platform to inform online self-management and social support intervention design and evaluation for Hispanic AD/ADRD caregivers. It will enable other researchers to replicate the methods for their phenomena of interest.</p><p><strong>Method: </strong>We extracted an analytic corpus of 317,658 English and Spanish tweets, applied content mining (topic models) and network structure analysis (macro-, meso-, and micro-levels) methods, and created visualizations of results.</p><p><strong>Results: </strong>The topic models showed differences in content between English and Spanish tweet corpora and between years analyzed. Our methods detected significant structural changes between years including increases in network size and subgroups, decrease in proportion of isolates, and increase in proportion of triads of the balanced communication type.</p><p><strong>Discussion/conclusion: </strong>Each analysis revealed key lessons that informed the design and/or evaluation of online self-management and social support interventions for Hispanic AD/ADRD caregivers. These lessons are relevant to others wishing to use Twitter to characterize a particular phenomenon or as an intervention platform.</p>\",\"PeriodicalId\":35432,\"journal\":{\"name\":\"Hispanic Health Care International\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hispanic Health Care International\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/1540415319882777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2019/10/24 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hispanic Health Care International","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/1540415319882777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2019/10/24 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Mining Twitter to Inform the Design of Online Interventions for Hispanic Alzheimer's Disease and Related Dementias Caregivers.
Background/objective: Hispanics are about 1.5 times as likely as non-Hispanic Whites to experience Alzheimer's disease and related dementias (AD/ADRD). Eight percent of AD/ADRD caregivers are Hispanics. The purpose of this article is to provide a methodological case study of using data mining methods and the Twitter platform to inform online self-management and social support intervention design and evaluation for Hispanic AD/ADRD caregivers. It will enable other researchers to replicate the methods for their phenomena of interest.
Method: We extracted an analytic corpus of 317,658 English and Spanish tweets, applied content mining (topic models) and network structure analysis (macro-, meso-, and micro-levels) methods, and created visualizations of results.
Results: The topic models showed differences in content between English and Spanish tweet corpora and between years analyzed. Our methods detected significant structural changes between years including increases in network size and subgroups, decrease in proportion of isolates, and increase in proportion of triads of the balanced communication type.
Discussion/conclusion: Each analysis revealed key lessons that informed the design and/or evaluation of online self-management and social support interventions for Hispanic AD/ADRD caregivers. These lessons are relevant to others wishing to use Twitter to characterize a particular phenomenon or as an intervention platform.
期刊介绍:
Visit Hispanic Health Care International Online on IngentaConnect to view tables of contents. This peer-reviewed journal serves as an interdisciplinary forum for the dissemination of information for clinical practice, education, research, and policy on issues concerning Hispanic/Latino populations in the United States. A unique feature of Hispanic Health Care International is the availability of all abstracts in both English and Spanish. Each article is reviewed by at least two experts on the topic. The interdisciplinary editorial board comprises experts in a variety of clinical, policy, and research areas.