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Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic
Introduction:The rapid implementation of telemedicine during the COVID-19 pandemic may have exacerbated the existing health disparities. This study investigated the association between the area deprivation index (ADI), which serves as a measure of socioeconomic deprivation within a geographic area,...
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Published in: | Journal of clinical and translational science 2023-01, Vol.7 (1), p.e168-e168, Article e168 |
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description | Introduction:The rapid implementation of telemedicine during the COVID-19 pandemic may have exacerbated the existing health disparities. This study investigated the association between the area deprivation index (ADI), which serves as a measure of socioeconomic deprivation within a geographic area, and the utilization of telemedicine in primary care.Methods:The study data source was electronic health records. The study population consisted of patients with at least one primary care visit between March 2020 and December 2021. The primary outcome of interest was the visit modality (office, phone, and video). The exposure of interest was the ADI score grouped into quartiles (one to four, with one being the least deprived). The confounders included patient sociodemographic characteristics (e.g., age, gender, race, ethnicity, insurance coverage, marital status). We utilized generalized estimating equations to compare the utilization of telemedicine visits with office visits, as well as phone visits with video visits.Results:The study population included 41,583 patients with 127,165 office visits, 39,484 phone visits, and 20,268 video visits. Compared to patients in less disadvantaged neighborhoods (ADI quartile = one), patients in more disadvantaged neighborhoods (ADI = two, three, or four) had higher odds of using phone visits vs office visits, lower odds of using video visits vs office visits, and higher odds of using phone visits vs video visits.Conclusions:Patients who resided in socioeconomically disadvantaged neighborhoods mainly relied on phone consultations for telemedicine visits with their primary care provider. Patient-level interventions are essential for achieving equitable access to digital healthcare, particularly for low-income individuals. |
doi_str_mv | 10.1017/cts.2023.580 |
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This study investigated the association between the area deprivation index (ADI), which serves as a measure of socioeconomic deprivation within a geographic area, and the utilization of telemedicine in primary care.Methods:The study data source was electronic health records. The study population consisted of patients with at least one primary care visit between March 2020 and December 2021. The primary outcome of interest was the visit modality (office, phone, and video). The exposure of interest was the ADI score grouped into quartiles (one to four, with one being the least deprived). The confounders included patient sociodemographic characteristics (e.g., age, gender, race, ethnicity, insurance coverage, marital status). We utilized generalized estimating equations to compare the utilization of telemedicine visits with office visits, as well as phone visits with video visits.Results:The study population included 41,583 patients with 127,165 office visits, 39,484 phone visits, and 20,268 video visits. Compared to patients in less disadvantaged neighborhoods (ADI quartile = one), patients in more disadvantaged neighborhoods (ADI = two, three, or four) had higher odds of using phone visits vs office visits, lower odds of using video visits vs office visits, and higher odds of using phone visits vs video visits.Conclusions:Patients who resided in socioeconomically disadvantaged neighborhoods mainly relied on phone consultations for telemedicine visits with their primary care provider. Patient-level interventions are essential for achieving equitable access to digital healthcare, particularly for low-income individuals.</description><identifier>ISSN: 2059-8661</identifier><identifier>EISSN: 2059-8661</identifier><identifier>DOI: 10.1017/cts.2023.580</identifier><language>eng</language><publisher>Cambridge: Cambridge University Press</publisher><subject>Advancing Translational Science through Real-World Data and Real-World Evidence ; area deprivation index (ADI) ; chronic disease ; Chronic obstructive pulmonary disease ; COVID-19 ; Diabetes ; Electronic health records ; Electronic medical records ; Ethnicity ; Gender ; Health care access ; Health care delivery ; Health disparities ; Heart failure ; Hispanic Americans ; Hypertension ; Neighborhoods ; Pandemics ; Patients ; Population studies ; Primary care ; Socioeconomic factors ; Statistical analysis ; Telemedicine ; Translational Research, Design and Analysis ; Web portals</subject><ispartof>Journal of clinical and translational science, 2023-01, Vol.7 (1), p.e168-e168, Article e168</ispartof><rights>The Author(s), 2023. Published by Cambridge University Press on behalf of The Association for Clinical and Translational Science. This work is licensed under the Creative Commons Attribution License This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The Author(s) 2023 2023 The Author(s)</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-64cddc9bdcbadee281bf75514bfbeacb345cc2a26da324d8e996e90cf52f1c0e3</citedby><cites>FETCH-LOGICAL-c418t-64cddc9bdcbadee281bf75514bfbeacb345cc2a26da324d8e996e90cf52f1c0e3</cites><orcidid>0000-0001-5239-4046 ; 0000-0002-8957-0100</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425871/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425871/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Ostovari, Mina</creatorcontrib><creatorcontrib>Zhang, Zugui</creatorcontrib><creatorcontrib>Patel, Vishal</creatorcontrib><creatorcontrib>Jurkovitz, Claudine</creatorcontrib><title>Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic</title><title>Journal of clinical and translational science</title><description>Introduction:The rapid implementation of telemedicine during the COVID-19 pandemic may have exacerbated the existing health disparities. This study investigated the association between the area deprivation index (ADI), which serves as a measure of socioeconomic deprivation within a geographic area, and the utilization of telemedicine in primary care.Methods:The study data source was electronic health records. The study population consisted of patients with at least one primary care visit between March 2020 and December 2021. The primary outcome of interest was the visit modality (office, phone, and video). The exposure of interest was the ADI score grouped into quartiles (one to four, with one being the least deprived). The confounders included patient sociodemographic characteristics (e.g., age, gender, race, ethnicity, insurance coverage, marital status). We utilized generalized estimating equations to compare the utilization of telemedicine visits with office visits, as well as phone visits with video visits.Results:The study population included 41,583 patients with 127,165 office visits, 39,484 phone visits, and 20,268 video visits. Compared to patients in less disadvantaged neighborhoods (ADI quartile = one), patients in more disadvantaged neighborhoods (ADI = two, three, or four) had higher odds of using phone visits vs office visits, lower odds of using video visits vs office visits, and higher odds of using phone visits vs video visits.Conclusions:Patients who resided in socioeconomically disadvantaged neighborhoods mainly relied on phone consultations for telemedicine visits with their primary care provider. Patient-level interventions are essential for achieving equitable access to digital healthcare, particularly for low-income individuals.</description><subject>Advancing Translational Science through Real-World Data and Real-World Evidence</subject><subject>area deprivation index (ADI)</subject><subject>chronic disease</subject><subject>Chronic obstructive pulmonary disease</subject><subject>COVID-19</subject><subject>Diabetes</subject><subject>Electronic health records</subject><subject>Electronic medical records</subject><subject>Ethnicity</subject><subject>Gender</subject><subject>Health care access</subject><subject>Health care delivery</subject><subject>Health disparities</subject><subject>Heart failure</subject><subject>Hispanic Americans</subject><subject>Hypertension</subject><subject>Neighborhoods</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Population studies</subject><subject>Primary care</subject><subject>Socioeconomic factors</subject><subject>Statistical analysis</subject><subject>Telemedicine</subject><subject>Translational Research, Design and Analysis</subject><subject>Web portals</subject><issn>2059-8661</issn><issn>2059-8661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpdkstuGyEUQEdVKzVKs-sHIHXTRccFBjDTTRW5L0uRskm7RTzu2FhjcIFJH5_Sry32WFXSDaDL4dwL3KZ5SfCCYLJ8a0teUEy7BZf4SXNBMe9bKQR5-mD9vLnKeYcxJpIK0XUXzZ87GGEPzlsfAOng0Bb0WLbI-XzQyRcP-R26zjlar4uPARkoPwACKtvKJ9DIwSH5-3nTBwc_T5oa2-v0C9nKoPIwyVT86H_PvJuSD5uTa3X7bf2hJT061OOw9_ZF82zQY4ar83zZfP308W71pb25_bxeXd-0lhFZWsGsc7Y3zhrtAKgkZlhyTpgZDGhrOsatpZoKpzvKnIS-F9BjO3A6EIuhu2zWs9dFvVPnulXUXp0CMW2UTsXbEVRPJBFCWDYIzLCsCanlx1FqY4ZuqK73s-swmXphC6EkPT6SPt4Jfqs28V4RzCiXS1INr8-GFL9PkIva-2xhHHWAOGVFJaf15zjjFX31H7qLUwr1rSrFhOxFz4_Um5myKeacYPhXDcHq2Dmqdo46do6qndP9BQkau5k</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Ostovari, Mina</creator><creator>Zhang, Zugui</creator><creator>Patel, Vishal</creator><creator>Jurkovitz, Claudine</creator><general>Cambridge University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FH</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5239-4046</orcidid><orcidid>https://orcid.org/0000-0002-8957-0100</orcidid></search><sort><creationdate>20230101</creationdate><title>Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic</title><author>Ostovari, Mina ; Zhang, Zugui ; Patel, Vishal ; Jurkovitz, Claudine</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-64cddc9bdcbadee281bf75514bfbeacb345cc2a26da324d8e996e90cf52f1c0e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Advancing Translational Science through Real-World Data and Real-World Evidence</topic><topic>area deprivation index (ADI)</topic><topic>chronic disease</topic><topic>Chronic obstructive pulmonary disease</topic><topic>COVID-19</topic><topic>Diabetes</topic><topic>Electronic health records</topic><topic>Electronic medical records</topic><topic>Ethnicity</topic><topic>Gender</topic><topic>Health care access</topic><topic>Health care delivery</topic><topic>Health disparities</topic><topic>Heart failure</topic><topic>Hispanic Americans</topic><topic>Hypertension</topic><topic>Neighborhoods</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Population studies</topic><topic>Primary care</topic><topic>Socioeconomic factors</topic><topic>Statistical analysis</topic><topic>Telemedicine</topic><topic>Translational Research, Design and Analysis</topic><topic>Web portals</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ostovari, Mina</creatorcontrib><creatorcontrib>Zhang, Zugui</creatorcontrib><creatorcontrib>Patel, Vishal</creatorcontrib><creatorcontrib>Jurkovitz, Claudine</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Biological Sciences</collection><collection>ProQuest Biological Science Journals</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of clinical and translational science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ostovari, Mina</au><au>Zhang, Zugui</au><au>Patel, Vishal</au><au>Jurkovitz, Claudine</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic</atitle><jtitle>Journal of clinical and translational science</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>7</volume><issue>1</issue><spage>e168</spage><epage>e168</epage><pages>e168-e168</pages><artnum>e168</artnum><issn>2059-8661</issn><eissn>2059-8661</eissn><abstract>Introduction:The rapid implementation of telemedicine during the COVID-19 pandemic may have exacerbated the existing health disparities. This study investigated the association between the area deprivation index (ADI), which serves as a measure of socioeconomic deprivation within a geographic area, and the utilization of telemedicine in primary care.Methods:The study data source was electronic health records. The study population consisted of patients with at least one primary care visit between March 2020 and December 2021. The primary outcome of interest was the visit modality (office, phone, and video). The exposure of interest was the ADI score grouped into quartiles (one to four, with one being the least deprived). The confounders included patient sociodemographic characteristics (e.g., age, gender, race, ethnicity, insurance coverage, marital status). We utilized generalized estimating equations to compare the utilization of telemedicine visits with office visits, as well as phone visits with video visits.Results:The study population included 41,583 patients with 127,165 office visits, 39,484 phone visits, and 20,268 video visits. Compared to patients in less disadvantaged neighborhoods (ADI quartile = one), patients in more disadvantaged neighborhoods (ADI = two, three, or four) had higher odds of using phone visits vs office visits, lower odds of using video visits vs office visits, and higher odds of using phone visits vs video visits.Conclusions:Patients who resided in socioeconomically disadvantaged neighborhoods mainly relied on phone consultations for telemedicine visits with their primary care provider. Patient-level interventions are essential for achieving equitable access to digital healthcare, particularly for low-income individuals.</abstract><cop>Cambridge</cop><pub>Cambridge University Press</pub><doi>10.1017/cts.2023.580</doi><orcidid>https://orcid.org/0000-0001-5239-4046</orcidid><orcidid>https://orcid.org/0000-0002-8957-0100</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Advancing Translational Science through Real-World Data and Real-World Evidence area deprivation index (ADI) chronic disease Chronic obstructive pulmonary disease COVID-19 Diabetes Electronic health records Electronic medical records Ethnicity Gender Health care access Health care delivery Health disparities Heart failure Hispanic Americans Hypertension Neighborhoods Pandemics Patients Population studies Primary care Socioeconomic factors Statistical analysis Telemedicine Translational Research, Design and Analysis Web portals |
title | Telemedicine and health disparities: Association between the area deprivation index and primary care telemedicine utilization during the COVID-19 pandemic |
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