Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: A cross-sectional survey
To evaluate how technology access affected substance use disorder (SUD) treatment prior to COVID-19 for people who use drugs in rural areas. The Rural Opioid Initiative (January 2018-March 2020) was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from r...
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| Veröffentlicht in: | The Journal of rural health 2023-09, Vol.39 (4), p.772-779 |
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| container_title | The Journal of rural health |
| container_volume | 39 |
| creator | Button, Dana Levander, Ximena A Cook, Ryan R Miller, William C Salisbury-Afshar, Elizabeth M Tsui, Judith I Ibragimov, Umedjon Jenkins, Wiley D Westergaard, Ryan P Korthuis, P Todd |
| description | To evaluate how technology access affected substance use disorder (SUD) treatment prior to COVID-19 for people who use drugs in rural areas.
The Rural Opioid Initiative (January 2018-March 2020) was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from rural areas of 10 states. Using multivariable mixed-effect regression models, we examined associations between participant technology access and SUD treatment.
Of 3,026 participants, 71% used heroin and 76% used methamphetamine. Thirty-five percent had no cell phone and 10% had no prior 30-day internet use. Having both a cell phone and the internet was associated with increased days of medication for opioid use disorder (MOUD) use (aIRR 1.29 [95% CI 1.11-1.52]) and a higher likelihood of SUD counseling in the prior 30 days (aOR 1.28 [95% CI 1.05-1.57]). Lack of cell phone was associated with decreased days of MOUD (aIRR 0.77 [95% CI 0.66-0.91]) and a lower likelihood of prior 30-day SUD counseling (aOR 0.77 [95% CI 0.62-0.94]).
Expanding US rural SUD treatment engagement via telemedicine may require increased cell phone and mobile network access. |
| doi_str_mv | 10.1111/jrh.12737 |
| format | Article |
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The Rural Opioid Initiative (January 2018-March 2020) was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from rural areas of 10 states. Using multivariable mixed-effect regression models, we examined associations between participant technology access and SUD treatment.
Of 3,026 participants, 71% used heroin and 76% used methamphetamine. Thirty-five percent had no cell phone and 10% had no prior 30-day internet use. Having both a cell phone and the internet was associated with increased days of medication for opioid use disorder (MOUD) use (aIRR 1.29 [95% CI 1.11-1.52]) and a higher likelihood of SUD counseling in the prior 30 days (aOR 1.28 [95% CI 1.05-1.57]). Lack of cell phone was associated with decreased days of MOUD (aIRR 0.77 [95% CI 0.66-0.91]) and a lower likelihood of prior 30-day SUD counseling (aOR 0.77 [95% CI 0.62-0.94]).
Expanding US rural SUD treatment engagement via telemedicine may require increased cell phone and mobile network access.</description><identifier>ISSN: 0890-765X</identifier><identifier>ISSN: 1748-0361</identifier><identifier>EISSN: 1748-0361</identifier><identifier>DOI: 10.1111/jrh.12737</identifier><identifier>PMID: 36575145</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Access ; Amphetamines ; Analgesics, Opioid ; Cell phones ; Cellular telephones ; Counseling ; COVID-19 ; COVID-19 - epidemiology ; Cross-Sectional Studies ; Drug abuse ; Drug addiction ; Drug use ; Drugs ; Heroin ; Humans ; Internet ; Medical treatment ; Methamphetamine ; Mobile phones ; Narcotics ; Opioid-Related Disorders - drug therapy ; Opioid-Related Disorders - epidemiology ; Opioids ; Regression analysis ; Regression models ; Rural areas ; Rural communities ; Substance abuse treatment ; Substance use ; Substance use disorder ; Technology ; Technology utilization ; Telemedicine ; United States - epidemiology</subject><ispartof>The Journal of rural health, 2023-09, Vol.39 (4), p.772-779</ispartof><rights>2022 National Rural Health Association.</rights><rights>2023 National Rural Health Association.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c404t-870b315fe1040bbb445bc50487e5d15a364d50cea0bc1a584609d9049acce3a33</citedby><cites>FETCH-LOGICAL-c404t-870b315fe1040bbb445bc50487e5d15a364d50cea0bc1a584609d9049acce3a33</cites><orcidid>0000-0002-6389-0421 ; 0000-0002-8373-1444</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27866,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36575145$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Button, Dana</creatorcontrib><creatorcontrib>Levander, Ximena A</creatorcontrib><creatorcontrib>Cook, Ryan R</creatorcontrib><creatorcontrib>Miller, William C</creatorcontrib><creatorcontrib>Salisbury-Afshar, Elizabeth M</creatorcontrib><creatorcontrib>Tsui, Judith I</creatorcontrib><creatorcontrib>Ibragimov, Umedjon</creatorcontrib><creatorcontrib>Jenkins, Wiley D</creatorcontrib><creatorcontrib>Westergaard, Ryan P</creatorcontrib><creatorcontrib>Korthuis, P Todd</creatorcontrib><title>Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: A cross-sectional survey</title><title>The Journal of rural health</title><addtitle>J Rural Health</addtitle><description>To evaluate how technology access affected substance use disorder (SUD) treatment prior to COVID-19 for people who use drugs in rural areas.
The Rural Opioid Initiative (January 2018-March 2020) was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from rural areas of 10 states. Using multivariable mixed-effect regression models, we examined associations between participant technology access and SUD treatment.
Of 3,026 participants, 71% used heroin and 76% used methamphetamine. Thirty-five percent had no cell phone and 10% had no prior 30-day internet use. Having both a cell phone and the internet was associated with increased days of medication for opioid use disorder (MOUD) use (aIRR 1.29 [95% CI 1.11-1.52]) and a higher likelihood of SUD counseling in the prior 30 days (aOR 1.28 [95% CI 1.05-1.57]). Lack of cell phone was associated with decreased days of MOUD (aIRR 0.77 [95% CI 0.66-0.91]) and a lower likelihood of prior 30-day SUD counseling (aOR 0.77 [95% CI 0.62-0.94]).
Expanding US rural SUD treatment engagement via telemedicine may require increased cell phone and mobile network access.</description><subject>Access</subject><subject>Amphetamines</subject><subject>Analgesics, Opioid</subject><subject>Cell phones</subject><subject>Cellular telephones</subject><subject>Counseling</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Drug abuse</subject><subject>Drug addiction</subject><subject>Drug use</subject><subject>Drugs</subject><subject>Heroin</subject><subject>Humans</subject><subject>Internet</subject><subject>Medical treatment</subject><subject>Methamphetamine</subject><subject>Mobile phones</subject><subject>Narcotics</subject><subject>Opioid-Related Disorders - drug therapy</subject><subject>Opioid-Related Disorders - epidemiology</subject><subject>Opioids</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Rural areas</subject><subject>Rural communities</subject><subject>Substance abuse treatment</subject><subject>Substance use</subject><subject>Substance use disorder</subject><subject>Technology</subject><subject>Technology utilization</subject><subject>Telemedicine</subject><subject>United States - epidemiology</subject><issn>0890-765X</issn><issn>1748-0361</issn><issn>1748-0361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>7TQ</sourceid><recordid>eNpdkctu1DAUhi1ERYfCghdAltjAIu3x2I4TNlVVcZMqdVEqsbMc58wko8QefCmap-CV8XRKBfXGC3_-9Z3zE_KGwSkr52wThlO2VFw9IwumRFMBr9lzsoCmhUrV8scxeRnjBmDZNly8IMe8lkoyIRfk903uYjLOIs0RaT9GH3oMNAU0aUaXqHE9TWgH5ye_3lFjLcZIzezdmm7RbyekvwZ_-B3yOtLR0ZCDmagpGZH6FU0D0ls3JuzpTTIJ40d6QW3wMVYRbRq9K3TM4Q53r8jRykwRXz_cJ-T286fvl1-rq-sv3y4vriorQKSqUdBxJlfIQEDXdULIzkoQjULZM2l4LXoJFg10lhnZiBravgXR7vW54fyEnB9yt7mbsbdl0qKst2GcTdhpb0b9_4sbB732d5qVJXJRtyXh_UNC8D8zxqTnMVqcJuPQ56iXSrYATMGyoO-eoBufQxm6UE1dAy9d7JU-HKj7zQRcPdow0PuedelZ3_dc2Lf_6j-Sf4vlfwCRDqYr</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Button, Dana</creator><creator>Levander, Ximena A</creator><creator>Cook, Ryan R</creator><creator>Miller, William C</creator><creator>Salisbury-Afshar, Elizabeth M</creator><creator>Tsui, Judith I</creator><creator>Ibragimov, Umedjon</creator><creator>Jenkins, Wiley D</creator><creator>Westergaard, Ryan P</creator><creator>Korthuis, P Todd</creator><general>Wiley Subscription Services, Inc</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>7T2</scope><scope>7TQ</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6389-0421</orcidid><orcidid>https://orcid.org/0000-0002-8373-1444</orcidid></search><sort><creationdate>20230901</creationdate><title>Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: A cross-sectional survey</title><author>Button, Dana ; Levander, Ximena A ; Cook, Ryan R ; Miller, William C ; Salisbury-Afshar, Elizabeth M ; Tsui, Judith I ; Ibragimov, Umedjon ; Jenkins, Wiley D ; Westergaard, Ryan P ; Korthuis, P Todd</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c404t-870b315fe1040bbb445bc50487e5d15a364d50cea0bc1a584609d9049acce3a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Access</topic><topic>Amphetamines</topic><topic>Analgesics, Opioid</topic><topic>Cell phones</topic><topic>Cellular telephones</topic><topic>Counseling</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Drug abuse</topic><topic>Drug addiction</topic><topic>Drug use</topic><topic>Drugs</topic><topic>Heroin</topic><topic>Humans</topic><topic>Internet</topic><topic>Medical treatment</topic><topic>Methamphetamine</topic><topic>Mobile phones</topic><topic>Narcotics</topic><topic>Opioid-Related Disorders - drug therapy</topic><topic>Opioid-Related Disorders - epidemiology</topic><topic>Opioids</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Rural areas</topic><topic>Rural communities</topic><topic>Substance abuse treatment</topic><topic>Substance use</topic><topic>Substance use disorder</topic><topic>Technology</topic><topic>Technology utilization</topic><topic>Telemedicine</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Button, Dana</creatorcontrib><creatorcontrib>Levander, Ximena A</creatorcontrib><creatorcontrib>Cook, Ryan R</creatorcontrib><creatorcontrib>Miller, William C</creatorcontrib><creatorcontrib>Salisbury-Afshar, Elizabeth M</creatorcontrib><creatorcontrib>Tsui, Judith I</creatorcontrib><creatorcontrib>Ibragimov, Umedjon</creatorcontrib><creatorcontrib>Jenkins, Wiley D</creatorcontrib><creatorcontrib>Westergaard, Ryan P</creatorcontrib><creatorcontrib>Korthuis, P Todd</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>Health and Safety Science Abstracts (Full archive)</collection><collection>PAIS Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</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>The Journal of rural health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Button, Dana</au><au>Levander, Ximena A</au><au>Cook, Ryan R</au><au>Miller, William C</au><au>Salisbury-Afshar, Elizabeth M</au><au>Tsui, Judith I</au><au>Ibragimov, Umedjon</au><au>Jenkins, Wiley D</au><au>Westergaard, Ryan P</au><au>Korthuis, P Todd</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: A cross-sectional survey</atitle><jtitle>The Journal of rural health</jtitle><addtitle>J Rural Health</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>39</volume><issue>4</issue><spage>772</spage><epage>779</epage><pages>772-779</pages><issn>0890-765X</issn><issn>1748-0361</issn><eissn>1748-0361</eissn><abstract>To evaluate how technology access affected substance use disorder (SUD) treatment prior to COVID-19 for people who use drugs in rural areas.
The Rural Opioid Initiative (January 2018-March 2020) was a cross-sectional study of people with prior 30-day injection drug or nonprescribed opioid use from rural areas of 10 states. Using multivariable mixed-effect regression models, we examined associations between participant technology access and SUD treatment.
Of 3,026 participants, 71% used heroin and 76% used methamphetamine. Thirty-five percent had no cell phone and 10% had no prior 30-day internet use. Having both a cell phone and the internet was associated with increased days of medication for opioid use disorder (MOUD) use (aIRR 1.29 [95% CI 1.11-1.52]) and a higher likelihood of SUD counseling in the prior 30 days (aOR 1.28 [95% CI 1.05-1.57]). Lack of cell phone was associated with decreased days of MOUD (aIRR 0.77 [95% CI 0.66-0.91]) and a lower likelihood of prior 30-day SUD counseling (aOR 0.77 [95% CI 0.62-0.94]).
Expanding US rural SUD treatment engagement via telemedicine may require increased cell phone and mobile network access.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>36575145</pmid><doi>10.1111/jrh.12737</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-6389-0421</orcidid><orcidid>https://orcid.org/0000-0002-8373-1444</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Access via Wiley Online Library; Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; PAIS Index |
| subjects | Access Amphetamines Analgesics, Opioid Cell phones Cellular telephones Counseling COVID-19 COVID-19 - epidemiology Cross-Sectional Studies Drug abuse Drug addiction Drug use Drugs Heroin Humans Internet Medical treatment Methamphetamine Mobile phones Narcotics Opioid-Related Disorders - drug therapy Opioid-Related Disorders - epidemiology Opioids Regression analysis Regression models Rural areas Rural communities Substance abuse treatment Substance use Substance use disorder Technology Technology utilization Telemedicine United States - epidemiology |
| title | Substance use disorder treatment and technology access among people who use drugs in rural areas of the United States: A cross-sectional survey |
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