Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study
Geosocial networking apps have made sexual partner-seeking easier for men who have sex with men, raising both challenges and opportunities for human immunodeficiency virus and sexually transmitted infection prevention and research. Most studies on men who have sex with men geosocial networking app u...
Gespeichert in:
| Veröffentlicht in: | Journal of medical Internet research 2018-05, Vol.20 (5), p.e173-e173 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e173 |
|---|---|
| container_issue | 5 |
| container_start_page | e173 |
| container_title | Journal of medical Internet research |
| container_volume | 20 |
| creator | Algarin, Angel B Ward, Patrick J Christian, W Jay Rudolph, Abby E Holloway, Ian W Young, April M |
| description | Geosocial networking apps have made sexual partner-seeking easier for men who have sex with men, raising both challenges and opportunities for human immunodeficiency virus and sexually transmitted infection prevention and research. Most studies on men who have sex with men geosocial networking app use have been conducted in large urban areas, despite research indicating similar patterns of online- and app-based sex-seeking among men who have sex with men in rural and midsize cities.
The goal of our research was to examine the spatial distribution of geosocial networking app usage and characterize areas with increasing numbers of partner-seeking men who have sex with men in a midsize city in the South.
Data collection points (n=62) were spaced in 2-mile increments along 9 routes (112 miles) covering the county encompassing the city. At each point, staff logged into 3 different geosocial networking apps to record the number of geosocial networking app users within a 1-mile radius. Data were collected separately during weekday daytime (9:00 AM to 4:00 PM) and weekend nighttime (8:00 PM to 12:00 AM) hours. Empirical Bayesian kriging was used to create a raster estimating the number of app users throughout the county. Raster values were summarized for each of the county's 208 Census block groups and used as the outcome measure (ie, geosocial networking app usage). Negative binomial regression and Wilcoxon signed rank sum tests were used to examine Census block group variables (eg, median income, median age) associated with geosocial networking app usage and temporal differences in app usage, respectively.
The number of geosocial networking app users within a 1-mile radius of the data collection points ranged from 0 to 36 during weekday daytime hours and 0 to 39 during weekend nighttime hours. In adjusted analyses, Census block group median income and percent Hispanic ethnicity were negatively associated with geosocial networking app usage for all 3 geosocial networking apps during weekday daytime and weekend nighttime hours. Population density and the presence of businesses were positively associated with geosocial networking app usage for all 3 geosocial networking apps during both times.
In this midsize city, geosocial networking app usage was highest in areas that were more population-dense, were lower income, and had more businesses. This research is an example of how geosocial networking apps' geospatial capabilities can be used to better understand patter |
| doi_str_mv | 10.2196/jmir.9919 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6002670</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2111121976</sourcerecordid><originalsourceid>FETCH-LOGICAL-c403t-ea2d9c52886ee23499979a2aa6ee7979aefd156596174780dc04c2b880deb1223</originalsourceid><addsrcrecordid>eNpdkUtP3DAUha2qqLy66B9AlrppF6G24yR2F0gjSgGJAtKAWFoe586MhyRObWco_x6Hlyje-Nj389H1PQh9oWSfUVn-WLXW70tJ5Qe0RXkuMiEq-vGN3kTbIawIYYRL-gltMimKnHO6hdbTXkerG_zLhujtbIjWddjN8aX2sQOfTQFubbfAf6DDN0uHT_Qa8BT-4Rsbl4-312GsH4MLzoxO5xDvnH98NOn78BMf9baG1rrGLazB0zjU97toY66bAJ-f9x10_fvo6vAkO7s4Pj2cnGWGkzxmoFktTcGEKAFYzqWUldRM63SsRgnzmhZlIUta8UqQ2hBu2EwkBTPKWL6DDp58-2HWQm2gi143qve21f5eOW3V_5XOLtXCrVWZhlVWJBl8ezbw7u8AIarWBgNNoztwQ1DjRIuCi7JM6Nd36MoNvkvfU4ymlaKqRur7E2W8C8HD_LUZStSYphrTVGOaid172_0r-RJf_gCxopv-</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2111121976</pqid></control><display><type>article</type><title>Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central Open Access</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><source>PubMed Central</source><creator>Algarin, Angel B ; Ward, Patrick J ; Christian, W Jay ; Rudolph, Abby E ; Holloway, Ian W ; Young, April M</creator><creatorcontrib>Algarin, Angel B ; Ward, Patrick J ; Christian, W Jay ; Rudolph, Abby E ; Holloway, Ian W ; Young, April M</creatorcontrib><description>Geosocial networking apps have made sexual partner-seeking easier for men who have sex with men, raising both challenges and opportunities for human immunodeficiency virus and sexually transmitted infection prevention and research. Most studies on men who have sex with men geosocial networking app use have been conducted in large urban areas, despite research indicating similar patterns of online- and app-based sex-seeking among men who have sex with men in rural and midsize cities.
The goal of our research was to examine the spatial distribution of geosocial networking app usage and characterize areas with increasing numbers of partner-seeking men who have sex with men in a midsize city in the South.
Data collection points (n=62) were spaced in 2-mile increments along 9 routes (112 miles) covering the county encompassing the city. At each point, staff logged into 3 different geosocial networking apps to record the number of geosocial networking app users within a 1-mile radius. Data were collected separately during weekday daytime (9:00 AM to 4:00 PM) and weekend nighttime (8:00 PM to 12:00 AM) hours. Empirical Bayesian kriging was used to create a raster estimating the number of app users throughout the county. Raster values were summarized for each of the county's 208 Census block groups and used as the outcome measure (ie, geosocial networking app usage). Negative binomial regression and Wilcoxon signed rank sum tests were used to examine Census block group variables (eg, median income, median age) associated with geosocial networking app usage and temporal differences in app usage, respectively.
The number of geosocial networking app users within a 1-mile radius of the data collection points ranged from 0 to 36 during weekday daytime hours and 0 to 39 during weekend nighttime hours. In adjusted analyses, Census block group median income and percent Hispanic ethnicity were negatively associated with geosocial networking app usage for all 3 geosocial networking apps during weekday daytime and weekend nighttime hours. Population density and the presence of businesses were positively associated with geosocial networking app usage for all 3 geosocial networking apps during both times.
In this midsize city, geosocial networking app usage was highest in areas that were more population-dense, were lower income, and had more businesses. This research is an example of how geosocial networking apps' geospatial capabilities can be used to better understand patterns of virtual partner-seeking among men who have sex with men.</description><identifier>ISSN: 1438-8871</identifier><identifier>ISSN: 1439-4456</identifier><identifier>EISSN: 1438-8871</identifier><identifier>DOI: 10.2196/jmir.9919</identifier><identifier>PMID: 29853441</identifier><language>eng</language><publisher>Canada: Gunther Eysenbach MD MPH, Associate Professor</publisher><subject>Adult ; Bayesian analysis ; Censuses ; Cities ; Companies ; Data collection ; Demography - methods ; Epidemiologic Studies ; Ethnicity ; Geothermal Energy ; HIV ; Homosexuality ; Homosexuality, Male - psychology ; Homosexuality, Male - statistics & numerical data ; Human immunodeficiency virus ; Humans ; Infections ; Low income groups ; Male ; Men who have sex with men ; Mobile Applications - trends ; Networking ; Original Paper ; Population density ; Rural communities ; Sexual behavior ; Sexual Partners - psychology ; Sexually transmitted diseases ; Social Networking ; Spatial analysis ; STD ; Urban areas</subject><ispartof>Journal of medical Internet research, 2018-05, Vol.20 (5), p.e173-e173</ispartof><rights>Angel B Algarin, Patrick J Ward, W Jay Christian, Abby E Rudolph, Ian W Holloway, April M Young. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.05.2018.</rights><rights>Copyright Gunther Eysenbach MD MPH, Associate Professor May 2018</rights><rights>Angel B Algarin, Patrick J Ward, W Jay Christian, Abby E Rudolph, Ian W Holloway, April M Young. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.05.2018. 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-ea2d9c52886ee23499979a2aa6ee7979aefd156596174780dc04c2b880deb1223</citedby><cites>FETCH-LOGICAL-c403t-ea2d9c52886ee23499979a2aa6ee7979aefd156596174780dc04c2b880deb1223</cites><orcidid>0000-0003-3518-8245 ; 0000-0001-7454-8632 ; 0000-0003-1786-3307 ; 0000-0003-3969-3249 ; 0000-0001-7331-1772 ; 0000-0001-6904-3971</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,725,778,782,862,883,27907,27908,30982</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29853441$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Algarin, Angel B</creatorcontrib><creatorcontrib>Ward, Patrick J</creatorcontrib><creatorcontrib>Christian, W Jay</creatorcontrib><creatorcontrib>Rudolph, Abby E</creatorcontrib><creatorcontrib>Holloway, Ian W</creatorcontrib><creatorcontrib>Young, April M</creatorcontrib><title>Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study</title><title>Journal of medical Internet research</title><addtitle>J Med Internet Res</addtitle><description>Geosocial networking apps have made sexual partner-seeking easier for men who have sex with men, raising both challenges and opportunities for human immunodeficiency virus and sexually transmitted infection prevention and research. Most studies on men who have sex with men geosocial networking app use have been conducted in large urban areas, despite research indicating similar patterns of online- and app-based sex-seeking among men who have sex with men in rural and midsize cities.
The goal of our research was to examine the spatial distribution of geosocial networking app usage and characterize areas with increasing numbers of partner-seeking men who have sex with men in a midsize city in the South.
Data collection points (n=62) were spaced in 2-mile increments along 9 routes (112 miles) covering the county encompassing the city. At each point, staff logged into 3 different geosocial networking apps to record the number of geosocial networking app users within a 1-mile radius. Data were collected separately during weekday daytime (9:00 AM to 4:00 PM) and weekend nighttime (8:00 PM to 12:00 AM) hours. Empirical Bayesian kriging was used to create a raster estimating the number of app users throughout the county. Raster values were summarized for each of the county's 208 Census block groups and used as the outcome measure (ie, geosocial networking app usage). Negative binomial regression and Wilcoxon signed rank sum tests were used to examine Census block group variables (eg, median income, median age) associated with geosocial networking app usage and temporal differences in app usage, respectively.
The number of geosocial networking app users within a 1-mile radius of the data collection points ranged from 0 to 36 during weekday daytime hours and 0 to 39 during weekend nighttime hours. In adjusted analyses, Census block group median income and percent Hispanic ethnicity were negatively associated with geosocial networking app usage for all 3 geosocial networking apps during weekday daytime and weekend nighttime hours. Population density and the presence of businesses were positively associated with geosocial networking app usage for all 3 geosocial networking apps during both times.
In this midsize city, geosocial networking app usage was highest in areas that were more population-dense, were lower income, and had more businesses. This research is an example of how geosocial networking apps' geospatial capabilities can be used to better understand patterns of virtual partner-seeking among men who have sex with men.</description><subject>Adult</subject><subject>Bayesian analysis</subject><subject>Censuses</subject><subject>Cities</subject><subject>Companies</subject><subject>Data collection</subject><subject>Demography - methods</subject><subject>Epidemiologic Studies</subject><subject>Ethnicity</subject><subject>Geothermal Energy</subject><subject>HIV</subject><subject>Homosexuality</subject><subject>Homosexuality, Male - psychology</subject><subject>Homosexuality, Male - statistics & numerical data</subject><subject>Human immunodeficiency virus</subject><subject>Humans</subject><subject>Infections</subject><subject>Low income groups</subject><subject>Male</subject><subject>Men who have sex with men</subject><subject>Mobile Applications - trends</subject><subject>Networking</subject><subject>Original Paper</subject><subject>Population density</subject><subject>Rural communities</subject><subject>Sexual behavior</subject><subject>Sexual Partners - psychology</subject><subject>Sexually transmitted diseases</subject><subject>Social Networking</subject><subject>Spatial analysis</subject><subject>STD</subject><subject>Urban areas</subject><issn>1438-8871</issn><issn>1439-4456</issn><issn>1438-8871</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNpdkUtP3DAUha2qqLy66B9AlrppF6G24yR2F0gjSgGJAtKAWFoe586MhyRObWco_x6Hlyje-Nj389H1PQh9oWSfUVn-WLXW70tJ5Qe0RXkuMiEq-vGN3kTbIawIYYRL-gltMimKnHO6hdbTXkerG_zLhujtbIjWddjN8aX2sQOfTQFubbfAf6DDN0uHT_Qa8BT-4Rsbl4-312GsH4MLzoxO5xDvnH98NOn78BMf9baG1rrGLazB0zjU97toY66bAJ-f9x10_fvo6vAkO7s4Pj2cnGWGkzxmoFktTcGEKAFYzqWUldRM63SsRgnzmhZlIUta8UqQ2hBu2EwkBTPKWL6DDp58-2HWQm2gi143qve21f5eOW3V_5XOLtXCrVWZhlVWJBl8ezbw7u8AIarWBgNNoztwQ1DjRIuCi7JM6Nd36MoNvkvfU4ymlaKqRur7E2W8C8HD_LUZStSYphrTVGOaid172_0r-RJf_gCxopv-</recordid><startdate>20180531</startdate><enddate>20180531</enddate><creator>Algarin, Angel B</creator><creator>Ward, Patrick J</creator><creator>Christian, W Jay</creator><creator>Rudolph, Abby E</creator><creator>Holloway, Ian W</creator><creator>Young, April M</creator><general>Gunther Eysenbach MD MPH, Associate Professor</general><general>JMIR Publications</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>7QJ</scope><scope>E3H</scope><scope>F2A</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3518-8245</orcidid><orcidid>https://orcid.org/0000-0001-7454-8632</orcidid><orcidid>https://orcid.org/0000-0003-1786-3307</orcidid><orcidid>https://orcid.org/0000-0003-3969-3249</orcidid><orcidid>https://orcid.org/0000-0001-7331-1772</orcidid><orcidid>https://orcid.org/0000-0001-6904-3971</orcidid></search><sort><creationdate>20180531</creationdate><title>Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study</title><author>Algarin, Angel B ; Ward, Patrick J ; Christian, W Jay ; Rudolph, Abby E ; Holloway, Ian W ; Young, April M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-ea2d9c52886ee23499979a2aa6ee7979aefd156596174780dc04c2b880deb1223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adult</topic><topic>Bayesian analysis</topic><topic>Censuses</topic><topic>Cities</topic><topic>Companies</topic><topic>Data collection</topic><topic>Demography - methods</topic><topic>Epidemiologic Studies</topic><topic>Ethnicity</topic><topic>Geothermal Energy</topic><topic>HIV</topic><topic>Homosexuality</topic><topic>Homosexuality, Male - psychology</topic><topic>Homosexuality, Male - statistics & numerical data</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Infections</topic><topic>Low income groups</topic><topic>Male</topic><topic>Men who have sex with men</topic><topic>Mobile Applications - trends</topic><topic>Networking</topic><topic>Original Paper</topic><topic>Population density</topic><topic>Rural communities</topic><topic>Sexual behavior</topic><topic>Sexual Partners - psychology</topic><topic>Sexually transmitted diseases</topic><topic>Social Networking</topic><topic>Spatial analysis</topic><topic>STD</topic><topic>Urban areas</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Algarin, Angel B</creatorcontrib><creatorcontrib>Ward, Patrick J</creatorcontrib><creatorcontrib>Christian, W Jay</creatorcontrib><creatorcontrib>Rudolph, Abby E</creatorcontrib><creatorcontrib>Holloway, Ian W</creatorcontrib><creatorcontrib>Young, April M</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of medical Internet research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Algarin, Angel B</au><au>Ward, Patrick J</au><au>Christian, W Jay</au><au>Rudolph, Abby E</au><au>Holloway, Ian W</au><au>Young, April M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study</atitle><jtitle>Journal of medical Internet research</jtitle><addtitle>J Med Internet Res</addtitle><date>2018-05-31</date><risdate>2018</risdate><volume>20</volume><issue>5</issue><spage>e173</spage><epage>e173</epage><pages>e173-e173</pages><issn>1438-8871</issn><issn>1439-4456</issn><eissn>1438-8871</eissn><abstract>Geosocial networking apps have made sexual partner-seeking easier for men who have sex with men, raising both challenges and opportunities for human immunodeficiency virus and sexually transmitted infection prevention and research. Most studies on men who have sex with men geosocial networking app use have been conducted in large urban areas, despite research indicating similar patterns of online- and app-based sex-seeking among men who have sex with men in rural and midsize cities.
The goal of our research was to examine the spatial distribution of geosocial networking app usage and characterize areas with increasing numbers of partner-seeking men who have sex with men in a midsize city in the South.
Data collection points (n=62) were spaced in 2-mile increments along 9 routes (112 miles) covering the county encompassing the city. At each point, staff logged into 3 different geosocial networking apps to record the number of geosocial networking app users within a 1-mile radius. Data were collected separately during weekday daytime (9:00 AM to 4:00 PM) and weekend nighttime (8:00 PM to 12:00 AM) hours. Empirical Bayesian kriging was used to create a raster estimating the number of app users throughout the county. Raster values were summarized for each of the county's 208 Census block groups and used as the outcome measure (ie, geosocial networking app usage). Negative binomial regression and Wilcoxon signed rank sum tests were used to examine Census block group variables (eg, median income, median age) associated with geosocial networking app usage and temporal differences in app usage, respectively.
The number of geosocial networking app users within a 1-mile radius of the data collection points ranged from 0 to 36 during weekday daytime hours and 0 to 39 during weekend nighttime hours. In adjusted analyses, Census block group median income and percent Hispanic ethnicity were negatively associated with geosocial networking app usage for all 3 geosocial networking apps during weekday daytime and weekend nighttime hours. Population density and the presence of businesses were positively associated with geosocial networking app usage for all 3 geosocial networking apps during both times.
In this midsize city, geosocial networking app usage was highest in areas that were more population-dense, were lower income, and had more businesses. This research is an example of how geosocial networking apps' geospatial capabilities can be used to better understand patterns of virtual partner-seeking among men who have sex with men.</abstract><cop>Canada</cop><pub>Gunther Eysenbach MD MPH, Associate Professor</pub><pmid>29853441</pmid><doi>10.2196/jmir.9919</doi><orcidid>https://orcid.org/0000-0003-3518-8245</orcidid><orcidid>https://orcid.org/0000-0001-7454-8632</orcidid><orcidid>https://orcid.org/0000-0003-1786-3307</orcidid><orcidid>https://orcid.org/0000-0003-3969-3249</orcidid><orcidid>https://orcid.org/0000-0001-7331-1772</orcidid><orcidid>https://orcid.org/0000-0001-6904-3971</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1438-8871 |
| ispartof | Journal of medical Internet research, 2018-05, Vol.20 (5), p.e173-e173 |
| issn | 1438-8871 1439-4456 1438-8871 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6002670 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; Applied Social Sciences Index & Abstracts (ASSIA); PubMed Central |
| subjects | Adult Bayesian analysis Censuses Cities Companies Data collection Demography - methods Epidemiologic Studies Ethnicity Geothermal Energy HIV Homosexuality Homosexuality, Male - psychology Homosexuality, Male - statistics & numerical data Human immunodeficiency virus Humans Infections Low income groups Male Men who have sex with men Mobile Applications - trends Networking Original Paper Population density Rural communities Sexual behavior Sexual Partners - psychology Sexually transmitted diseases Social Networking Spatial analysis STD Urban areas |
| title | Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T20%3A24%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatial%20Distribution%20of%20Partner-Seeking%20Men%20Who%20Have%20Sex%20With%20Men%20Using%20Geosocial%20Networking%20Apps:%20Epidemiologic%20Study&rft.jtitle=Journal%20of%20medical%20Internet%20research&rft.au=Algarin,%20Angel%20B&rft.date=2018-05-31&rft.volume=20&rft.issue=5&rft.spage=e173&rft.epage=e173&rft.pages=e173-e173&rft.issn=1438-8871&rft.eissn=1438-8871&rft_id=info:doi/10.2196/jmir.9919&rft_dat=%3Cproquest_pubme%3E2111121976%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2111121976&rft_id=info:pmid/29853441&rfr_iscdi=true |