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Describing the evolution of mobile technology usage for Latino patients and comparing findings to national mHealth estimates
Objectives Describe the change in mobile technology used by an urban Latino population between 2011 and 2014, and compare findings with national estimates. Materials and Methods Patients were surveyed on medical history and mobile technology use. We analyzed specific areas of mobile health capacity...
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Published in: | Journal of the American Medical Informatics Association : JAMIA 2016-09, Vol.23 (5), p.979-983 |
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container_title | Journal of the American Medical Informatics Association : JAMIA |
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creator | Arora, Sanjay Ford, Kelsey Terp, Sophie Abramson, Tiffany Ruiz, Ryan Camilon, Marissa Coyne, Christopher J Lam, Chun Nok Menchine, Michael Burner, Elizabeth |
description | Objectives Describe the change in mobile technology used by an urban Latino population between 2011 and 2014, and compare findings with national estimates.
Materials and Methods Patients were surveyed on medical history and mobile technology use. We analyzed specific areas of mobile health capacity stratified by chronic disease, age, language preference, and educational attainment.
Results Of 2144 Latino patients, the percentage that owned a cell phone and texted were in-line with Pew estimates, but app usage was not. Patients with chronic disease had reduced access to mobile devices (P |
doi_str_mv | 10.1093/jamia/ocv203 |
format | article |
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Materials and Methods Patients were surveyed on medical history and mobile technology use. We analyzed specific areas of mobile health capacity stratified by chronic disease, age, language preference, and educational attainment.
Results Of 2144 Latino patients, the percentage that owned a cell phone and texted were in-line with Pew estimates, but app usage was not. Patients with chronic disease had reduced access to mobile devices (P < .001) and lower use of mobile phone functionalities.
Discussion Prior research suggests that Latinos can access mHealth; however, we observed lower rates among Latino patients actively seeking heath care.
Conclusion Published national estimates do not accurately reflect the mobile technology use of Latino patients served by our public safety-net facility. The difference is greater for older, less educated patients with chronic disease.</description><identifier>ISSN: 1067-5027</identifier><identifier>EISSN: 1527-974X</identifier><identifier>DOI: 10.1093/jamia/ocv203</identifier><identifier>PMID: 26995564</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adolescent ; Adult ; Aged ; Brief Communications ; California ; Cell Phone - statistics & numerical data ; Chronic Disease ; Female ; Hispanic Americans ; Humans ; Male ; Middle Aged ; Telemedicine - statistics & numerical data ; Text Messaging - statistics & numerical data ; Young Adult</subject><ispartof>Journal of the American Medical Informatics Association : JAMIA, 2016-09, Vol.23 (5), p.979-983</ispartof><rights>The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2016</rights><rights>The Author 2016. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For Permissions, please email: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c416t-c8d792fdd892cad41e2b4513f74100228179c5a646e0c0ddbcb8506fd04afecd3</citedby><cites>FETCH-LOGICAL-c416t-c8d792fdd892cad41e2b4513f74100228179c5a646e0c0ddbcb8506fd04afecd3</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/PMC4997038/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997038/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26995564$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Arora, Sanjay</creatorcontrib><creatorcontrib>Ford, Kelsey</creatorcontrib><creatorcontrib>Terp, Sophie</creatorcontrib><creatorcontrib>Abramson, Tiffany</creatorcontrib><creatorcontrib>Ruiz, Ryan</creatorcontrib><creatorcontrib>Camilon, Marissa</creatorcontrib><creatorcontrib>Coyne, Christopher J</creatorcontrib><creatorcontrib>Lam, Chun Nok</creatorcontrib><creatorcontrib>Menchine, Michael</creatorcontrib><creatorcontrib>Burner, Elizabeth</creatorcontrib><title>Describing the evolution of mobile technology usage for Latino patients and comparing findings to national mHealth estimates</title><title>Journal of the American Medical Informatics Association : JAMIA</title><addtitle>J Am Med Inform Assoc</addtitle><description>Objectives Describe the change in mobile technology used by an urban Latino population between 2011 and 2014, and compare findings with national estimates.
Materials and Methods Patients were surveyed on medical history and mobile technology use. We analyzed specific areas of mobile health capacity stratified by chronic disease, age, language preference, and educational attainment.
Results Of 2144 Latino patients, the percentage that owned a cell phone and texted were in-line with Pew estimates, but app usage was not. Patients with chronic disease had reduced access to mobile devices (P < .001) and lower use of mobile phone functionalities.
Discussion Prior research suggests that Latinos can access mHealth; however, we observed lower rates among Latino patients actively seeking heath care.
Conclusion Published national estimates do not accurately reflect the mobile technology use of Latino patients served by our public safety-net facility. The difference is greater for older, less educated patients with chronic disease.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Brief Communications</subject><subject>California</subject><subject>Cell Phone - statistics & numerical data</subject><subject>Chronic Disease</subject><subject>Female</subject><subject>Hispanic Americans</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Telemedicine - statistics & numerical data</subject><subject>Text Messaging - statistics & numerical data</subject><subject>Young Adult</subject><issn>1067-5027</issn><issn>1527-974X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kc9rFDEYhoNYbK3ePEtuenDaJJPJTC6C1B8tLHhR8BYyyTe7KZlkTDILBf94s24teunp_SAPT154EXpFyQUlsr281bPTl9HsGWmfoDPasb6RPf_xtN5E9E1HWH-Knud8SwgVrO2eoVMmpOw6wc_Qr4-QTXKjC1tcdoBhH_1aXAw4TniOo_OAC5hdiD5u7_Ca9RbwFBPe6OJCxEsNCCVjHSw2cV50OqgmF2zNjEvEQR982uP5GrQvOwy5uFkXyC_QyaR9hpf3eY6-f_707eq62Xz9cnP1YdMYTkVpzGB7ySZrB8mMtpwCG3lH26nnlBDGBtpL02nBBRBDrB3NOHRETJZwPYGx7Tl6f_Qu6ziDNbVw0l4tqdZIdypqp_5_CW6ntnGvuJQ9aYcqeHsvSPHnWvur2WUD3usAcc2KDpQLwYaWVfTdETUp5pxgeviGEnUYTP0ZTB0Hq_jrf6s9wH8XqsCbIxDX5XHVb8b_pSY</recordid><startdate>20160901</startdate><enddate>20160901</enddate><creator>Arora, Sanjay</creator><creator>Ford, Kelsey</creator><creator>Terp, Sophie</creator><creator>Abramson, Tiffany</creator><creator>Ruiz, Ryan</creator><creator>Camilon, Marissa</creator><creator>Coyne, Christopher J</creator><creator>Lam, Chun Nok</creator><creator>Menchine, Michael</creator><creator>Burner, Elizabeth</creator><general>Oxford University Press</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>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160901</creationdate><title>Describing the evolution of mobile technology usage for Latino patients and comparing findings to national mHealth estimates</title><author>Arora, Sanjay ; Ford, Kelsey ; Terp, Sophie ; Abramson, Tiffany ; Ruiz, Ryan ; Camilon, Marissa ; Coyne, Christopher J ; Lam, Chun Nok ; Menchine, Michael ; Burner, Elizabeth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c416t-c8d792fdd892cad41e2b4513f74100228179c5a646e0c0ddbcb8506fd04afecd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Brief Communications</topic><topic>California</topic><topic>Cell Phone - statistics & numerical data</topic><topic>Chronic Disease</topic><topic>Female</topic><topic>Hispanic Americans</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Telemedicine - statistics & numerical data</topic><topic>Text Messaging - statistics & numerical data</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Arora, Sanjay</creatorcontrib><creatorcontrib>Ford, Kelsey</creatorcontrib><creatorcontrib>Terp, Sophie</creatorcontrib><creatorcontrib>Abramson, Tiffany</creatorcontrib><creatorcontrib>Ruiz, Ryan</creatorcontrib><creatorcontrib>Camilon, Marissa</creatorcontrib><creatorcontrib>Coyne, Christopher J</creatorcontrib><creatorcontrib>Lam, Chun Nok</creatorcontrib><creatorcontrib>Menchine, Michael</creatorcontrib><creatorcontrib>Burner, Elizabeth</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Arora, Sanjay</au><au>Ford, Kelsey</au><au>Terp, Sophie</au><au>Abramson, Tiffany</au><au>Ruiz, Ryan</au><au>Camilon, Marissa</au><au>Coyne, Christopher J</au><au>Lam, Chun Nok</au><au>Menchine, Michael</au><au>Burner, Elizabeth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Describing the evolution of mobile technology usage for Latino patients and comparing findings to national mHealth estimates</atitle><jtitle>Journal of the American Medical Informatics Association : JAMIA</jtitle><addtitle>J Am Med Inform Assoc</addtitle><date>2016-09-01</date><risdate>2016</risdate><volume>23</volume><issue>5</issue><spage>979</spage><epage>983</epage><pages>979-983</pages><issn>1067-5027</issn><eissn>1527-974X</eissn><abstract>Objectives Describe the change in mobile technology used by an urban Latino population between 2011 and 2014, and compare findings with national estimates.
Materials and Methods Patients were surveyed on medical history and mobile technology use. We analyzed specific areas of mobile health capacity stratified by chronic disease, age, language preference, and educational attainment.
Results Of 2144 Latino patients, the percentage that owned a cell phone and texted were in-line with Pew estimates, but app usage was not. Patients with chronic disease had reduced access to mobile devices (P < .001) and lower use of mobile phone functionalities.
Discussion Prior research suggests that Latinos can access mHealth; however, we observed lower rates among Latino patients actively seeking heath care.
Conclusion Published national estimates do not accurately reflect the mobile technology use of Latino patients served by our public safety-net facility. The difference is greater for older, less educated patients with chronic disease.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>26995564</pmid><doi>10.1093/jamia/ocv203</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
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source | Oxford Journals Online; PubMed Central |
subjects | Adolescent Adult Aged Brief Communications California Cell Phone - statistics & numerical data Chronic Disease Female Hispanic Americans Humans Male Middle Aged Telemedicine - statistics & numerical data Text Messaging - statistics & numerical data Young Adult |
title | Describing the evolution of mobile technology usage for Latino patients and comparing findings to national mHealth estimates |
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