Response Patterns to Weekly Short Message Service Health Surveys Among Diverse Youth at High Risk for Acquiring HIV
HIV researchers use short messaging service (SMS)-based surveys to monitor health behaviors more closely than what would be possible with in-person assessment. Benefits are tempered by nonresponse to completing surveys. Understanding response patterns and their associated study participant character...
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| Veröffentlicht in: | AIDS and behavior 2022-07, Vol.26 (7), p.2229-2241 |
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| creator | Tang, Wenze Gunn, Heather J. Kwok, Stephen Comulada, W. Scott Arnold, Elizabeth Mayfield Swendeman, Dallas Fernández, M. Isabel |
| description | HIV researchers use short messaging service (SMS)-based surveys to monitor health behaviors more closely than what would be possible with in-person assessment. Benefits are tempered by nonresponse to completing surveys. Understanding response patterns and their associated study participant characteristics would guide more tailored use of SMS-based surveys for HIV studies. We examined response to weekly 7-item SMS surveys administered as part of an HIV prevention trial. Using Mixture hidden Markov models (MHMM), we identified the underlying response patterns shared by subgroups of participants over time and quantified the association between these response patterns and participant characteristics. Three underlying response patterns were identified; responders, responders with phone-related errors, and non-responders. Non-responders versus responders were more likely to be younger, male, cis-gender, Black and Latinx participants with histories of homelessness, incarceration, and social support service utilization. Responders with phone-related errors compared to non-responders were more likely to be Black, Latinx, female, students, and have a history of incarceration and social support service utilization. More nuanced results from MHMM analyses better inform what strategies to use for increasing SMS response rates, including assisting in securing phone ownership/service for responders with phone-related errors and identifying alternative strategies for non-responders. Actively collecting and monitoring non-delivery notification data available from SMS gateway service companies offers another opportunity to identify and connect with participants when they are willing but unable to respond during follow-up. |
| doi_str_mv | 10.1007/s10461-021-03569-2 |
| format | Article |
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Using Mixture hidden Markov models (MHMM), we identified the underlying response patterns shared by subgroups of participants over time and quantified the association between these response patterns and participant characteristics. Three underlying response patterns were identified; responders, responders with phone-related errors, and non-responders. Non-responders versus responders were more likely to be younger, male, cis-gender, Black and Latinx participants with histories of homelessness, incarceration, and social support service utilization. Responders with phone-related errors compared to non-responders were more likely to be Black, Latinx, female, students, and have a history of incarceration and social support service utilization. More nuanced results from MHMM analyses better inform what strategies to use for increasing SMS response rates, including assisting in securing phone ownership/service for responders with phone-related errors and identifying alternative strategies for non-responders. Actively collecting and monitoring non-delivery notification data available from SMS gateway service companies offers another opportunity to identify and connect with participants when they are willing but unable to respond during follow-up.</description><identifier>ISSN: 1090-7165</identifier><identifier>EISSN: 1573-3254</identifier><identifier>DOI: 10.1007/s10461-021-03569-2</identifier><identifier>PMID: 35018546</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Acquired Immunodeficiency Syndrome ; Adolescent ; Black people ; Cell Phone ; Errors ; Female ; Gender differences ; Health behavior ; Health Psychology ; Health services ; Health Surveys ; Hispanic people ; HIV ; HIV Infections - epidemiology ; HIV Infections - prevention & control ; Homeless people ; Homelessness ; Human immunodeficiency virus ; Humans ; Imprisonment ; Infectious Diseases ; Male ; Markov chains ; Medicine ; Medicine & Public Health ; Minority & ethnic groups ; Original Paper ; Ownership ; Polls & surveys ; Public Health ; Short message service ; Social interactions ; Social support ; Students ; Subgroups ; Support services ; Surveys and Questionnaires ; Teenagers ; Telephone communications ; Telephones ; Text Messaging</subject><ispartof>AIDS and behavior, 2022-07, Vol.26 (7), p.2229-2241</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c425t-a0aab8cc928e809ba431752b7b23aecf817759e33be281cb8d257e21127eb2893</cites><orcidid>0000-0002-0491-8842</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10461-021-03569-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10461-021-03569-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,780,784,885,27343,27923,27924,33773,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35018546$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tang, Wenze</creatorcontrib><creatorcontrib>Gunn, Heather J.</creatorcontrib><creatorcontrib>Kwok, Stephen</creatorcontrib><creatorcontrib>Comulada, W. Scott</creatorcontrib><creatorcontrib>Arnold, Elizabeth Mayfield</creatorcontrib><creatorcontrib>Swendeman, Dallas</creatorcontrib><creatorcontrib>Fernández, M. Isabel</creatorcontrib><creatorcontrib>ATN masthead University of California, Los Angeles</creatorcontrib><creatorcontrib>ATN masthead University of California, Los Angeles</creatorcontrib><title>Response Patterns to Weekly Short Message Service Health Surveys Among Diverse Youth at High Risk for Acquiring HIV</title><title>AIDS and behavior</title><addtitle>AIDS Behav</addtitle><addtitle>AIDS Behav</addtitle><description>HIV researchers use short messaging service (SMS)-based surveys to monitor health behaviors more closely than what would be possible with in-person assessment. Benefits are tempered by nonresponse to completing surveys. Understanding response patterns and their associated study participant characteristics would guide more tailored use of SMS-based surveys for HIV studies. We examined response to weekly 7-item SMS surveys administered as part of an HIV prevention trial. Using Mixture hidden Markov models (MHMM), we identified the underlying response patterns shared by subgroups of participants over time and quantified the association between these response patterns and participant characteristics. Three underlying response patterns were identified; responders, responders with phone-related errors, and non-responders. Non-responders versus responders were more likely to be younger, male, cis-gender, Black and Latinx participants with histories of homelessness, incarceration, and social support service utilization. Responders with phone-related errors compared to non-responders were more likely to be Black, Latinx, female, students, and have a history of incarceration and social support service utilization. More nuanced results from MHMM analyses better inform what strategies to use for increasing SMS response rates, including assisting in securing phone ownership/service for responders with phone-related errors and identifying alternative strategies for non-responders. Actively collecting and monitoring non-delivery notification data available from SMS gateway service companies offers another opportunity to identify and connect with participants when they are willing but unable to respond during follow-up.</description><subject>Acquired Immunodeficiency Syndrome</subject><subject>Adolescent</subject><subject>Black people</subject><subject>Cell Phone</subject><subject>Errors</subject><subject>Female</subject><subject>Gender differences</subject><subject>Health behavior</subject><subject>Health Psychology</subject><subject>Health services</subject><subject>Health Surveys</subject><subject>Hispanic people</subject><subject>HIV</subject><subject>HIV Infections - epidemiology</subject><subject>HIV Infections - prevention & control</subject><subject>Homeless people</subject><subject>Homelessness</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Imprisonment</subject><subject>Infectious Diseases</subject><subject>Male</subject><subject>Markov chains</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Minority & ethnic groups</subject><subject>Original Paper</subject><subject>Ownership</subject><subject>Polls & surveys</subject><subject>Public Health</subject><subject>Short message service</subject><subject>Social interactions</subject><subject>Social support</subject><subject>Students</subject><subject>Subgroups</subject><subject>Support services</subject><subject>Surveys and Questionnaires</subject><subject>Teenagers</subject><subject>Telephone communications</subject><subject>Telephones</subject><subject>Text Messaging</subject><issn>1090-7165</issn><issn>1573-3254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>BHHNA</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kU1vEzEQhi0EoqXwBzggS1y4LNjj9Xp9QYpKSyoVFTV8iJPldSeJ2806tb2R8u9xSCmFAwfLlubx4xm_hLzk7C1nTL1LnNUNrxiUJWSjK3hEDrlUohIg68flzDSrFG_kAXmW0jVjTDdKPyUHQjLeyro5JOkS0zoMCelnmzPGIdEc6HfEm35LZ8sQM_2EKdkF0hnGjXdIp2j7vKSzMW5wm-hkFYYF_eA3GIvlRxhLzWY69YslvfTphs5DpBN3O_roCzg9-_acPJnbPuGLu_2IfD09-XI8rc4vPp4dT84rV4PMlWXWdq1zGlpsme5sLbiS0KkOhEU3b7lSUqMQHULLXddegVQInIPCDlotjsj7vXc9diu8cjjkaHuzjn5l49YE683flcEvzSJsjOaNAgFF8OZOEMPtiCmblU8O-94OGMZkoOEaOEjNC_r6H_Q6jHEo4xVKQa15LVmhYE-5GFKKOL9vhjOzy9TsMzUlU_MrU7Pr4tXDMe6v_A6xAGIPpPXuizH-efs_2p8sEq04</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Tang, Wenze</creator><creator>Gunn, Heather J.</creator><creator>Kwok, Stephen</creator><creator>Comulada, W. 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Scott</au><au>Arnold, Elizabeth Mayfield</au><au>Swendeman, Dallas</au><au>Fernández, M. Isabel</au><aucorp>ATN masthead University of California, Los Angeles</aucorp><aucorp>ATN masthead University of California, Los Angeles</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Response Patterns to Weekly Short Message Service Health Surveys Among Diverse Youth at High Risk for Acquiring HIV</atitle><jtitle>AIDS and behavior</jtitle><stitle>AIDS Behav</stitle><addtitle>AIDS Behav</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>26</volume><issue>7</issue><spage>2229</spage><epage>2241</epage><pages>2229-2241</pages><issn>1090-7165</issn><eissn>1573-3254</eissn><abstract>HIV researchers use short messaging service (SMS)-based surveys to monitor health behaviors more closely than what would be possible with in-person assessment. Benefits are tempered by nonresponse to completing surveys. Understanding response patterns and their associated study participant characteristics would guide more tailored use of SMS-based surveys for HIV studies. We examined response to weekly 7-item SMS surveys administered as part of an HIV prevention trial. Using Mixture hidden Markov models (MHMM), we identified the underlying response patterns shared by subgroups of participants over time and quantified the association between these response patterns and participant characteristics. Three underlying response patterns were identified; responders, responders with phone-related errors, and non-responders. Non-responders versus responders were more likely to be younger, male, cis-gender, Black and Latinx participants with histories of homelessness, incarceration, and social support service utilization. Responders with phone-related errors compared to non-responders were more likely to be Black, Latinx, female, students, and have a history of incarceration and social support service utilization. More nuanced results from MHMM analyses better inform what strategies to use for increasing SMS response rates, including assisting in securing phone ownership/service for responders with phone-related errors and identifying alternative strategies for non-responders. Actively collecting and monitoring non-delivery notification data available from SMS gateway service companies offers another opportunity to identify and connect with participants when they are willing but unable to respond during follow-up.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>35018546</pmid><doi>10.1007/s10461-021-03569-2</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-0491-8842</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | AIDS and behavior, 2022-07, Vol.26 (7), p.2229-2241 |
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| language | eng |
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| source | MEDLINE; Sociological Abstracts; SpringerLink Journals - AutoHoldings |
| subjects | Acquired Immunodeficiency Syndrome Adolescent Black people Cell Phone Errors Female Gender differences Health behavior Health Psychology Health services Health Surveys Hispanic people HIV HIV Infections - epidemiology HIV Infections - prevention & control Homeless people Homelessness Human immunodeficiency virus Humans Imprisonment Infectious Diseases Male Markov chains Medicine Medicine & Public Health Minority & ethnic groups Original Paper Ownership Polls & surveys Public Health Short message service Social interactions Social support Students Subgroups Support services Surveys and Questionnaires Teenagers Telephone communications Telephones Text Messaging |
| title | Response Patterns to Weekly Short Message Service Health Surveys Among Diverse Youth at High Risk for Acquiring HIV |
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