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Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic
Background The coronavirus 2019 (COVID-19) pandemic resulted in rapid implementation of telemedicine. Little is known about the impact of telemedicine on both no-show rates and healthcare disparities on the general primary care population during the pandemic. Objective To compare no-show rates betwe...
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Published in: | Journal of general internal medicine : JGIM 2023-09, Vol.38 (12), p.2734-2741 |
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container_title | Journal of general internal medicine : JGIM |
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creator | Shah, Dania A. Sharer, Rustan Sall, Dana Bay, Curt Turner, Alethea Bisk, Dmitry Peng, Wesley Gifford, Benjamin Rosas, Jennifer Radhakrishnan, Priya |
description | Background
The coronavirus 2019 (COVID-19) pandemic resulted in rapid implementation of telemedicine. Little is known about the impact of telemedicine on both no-show rates and healthcare disparities on the general primary care population during the pandemic.
Objective
To compare no-show rates between telemedicine and office visits in the primary care setting, while controlling for the burden of COVID-19 cases, with focus on underserved populations.
Design
Retrospective cohort study.
Setting
Multi-center urban network of primary care clinics between April 2021 and December 2021.
Participants
A total of 311,517 completed primary care physician visits across 164,647 patients.
Main Measures
The primary outcome was risk ratio of no-show incidences (i.e., no-show rates) between telemedicine and office visits across demographic sub-groups including age, ethnicity, race, and payor type.
Results
Compared to in-office visits, the overall risk of no-showing favored telemedicine, adjusted risk ratio of 0.68 (95% CI 0.65 to 0.71), absolute risk reduction (ARR) 4.0%. This favorability was most profound in several cohorts with racial/ethnic and socioeconomic differences with risk ratios in Black/African American 0.47 (95% CI 0.41 to 0.53), ARR 9.0%; Hispanic/Latino 0.63 (95% CI 0.58 to 0.68), ARR 4.6%; Medicaid 0.58 (95% CI 0.54 to 0.62) ARR 7.3%; Self-Pay 0.64 (95% CI 0.58 to 0.70) ARR 11.3%.
Limitation
The analysis was limited to physician-only visits in a single setting and did not examine the reasons for visits.
Conclusion
As compared to office visits, patients using telemedicine have a lower risk of no-showing to primary care appointments. This is one step towards improved access to care. |
doi_str_mv | 10.1007/s11606-023-08236-x |
format | article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10506986</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2865941553</sourcerecordid><originalsourceid>FETCH-LOGICAL-c431t-99b4e7d921ce9ca7f4962ae7593775bbaab9212f527173af3e681048c75e56853</originalsourceid><addsrcrecordid>eNp9kU1v1DAQhiMEokvhD3BAlrhwqMEfcWyfENotpVJFq7ZwtRzvpHHJ2oud0Pbf1yWlfBw4zWGeeWfeeavqJSVvKSHyXaa0IQ0mjGOiGG_w9aNqQQUTmNZaPq4WRKkaK8nrnepZzpeEUM6YelrtcMmJklIvqptT67wd9tD-2Afv9pANa3QWnY_gYogb79DKdx0kCA4y8gGdJL-x6QYtbQL0OeKzPl6hU5-_oSs_9ugcBtjA2jsfAK2m5MMFGntAy-OvhytMNTopG6DoPq-edHbI8OK-7lZfPu6fLz_ho-ODw-WHI-xqTkesdVuDXGtGHWhnZVfrhlmQQnMpRdta25Ye6wSTVHLbcWgUJbVyUoBolOC71ftZdzu15TAHYUx2MNvZhonWm787wffmIv4wlAjSaNUUhTf3Cil-nyCPZuOzg2GwAeKUDVNMCEJqRgr6-h_0Mk4pFH-FaoSuqRC8UGymXIo5J-gerqHE3EVr5mhNidb8jNZcl6FXf_p4GPmVZQH4DOTt3dch_d79H9lbNh-usw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2865941553</pqid></control><display><type>article</type><title>Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic</title><source>Springer Link</source><source>PubMed Central</source><creator>Shah, Dania A. ; Sharer, Rustan ; Sall, Dana ; Bay, Curt ; Turner, Alethea ; Bisk, Dmitry ; Peng, Wesley ; Gifford, Benjamin ; Rosas, Jennifer ; Radhakrishnan, Priya</creator><creatorcontrib>Shah, Dania A. ; Sharer, Rustan ; Sall, Dana ; Bay, Curt ; Turner, Alethea ; Bisk, Dmitry ; Peng, Wesley ; Gifford, Benjamin ; Rosas, Jennifer ; Radhakrishnan, Priya</creatorcontrib><description>Background
The coronavirus 2019 (COVID-19) pandemic resulted in rapid implementation of telemedicine. Little is known about the impact of telemedicine on both no-show rates and healthcare disparities on the general primary care population during the pandemic.
Objective
To compare no-show rates between telemedicine and office visits in the primary care setting, while controlling for the burden of COVID-19 cases, with focus on underserved populations.
Design
Retrospective cohort study.
Setting
Multi-center urban network of primary care clinics between April 2021 and December 2021.
Participants
A total of 311,517 completed primary care physician visits across 164,647 patients.
Main Measures
The primary outcome was risk ratio of no-show incidences (i.e., no-show rates) between telemedicine and office visits across demographic sub-groups including age, ethnicity, race, and payor type.
Results
Compared to in-office visits, the overall risk of no-showing favored telemedicine, adjusted risk ratio of 0.68 (95% CI 0.65 to 0.71), absolute risk reduction (ARR) 4.0%. This favorability was most profound in several cohorts with racial/ethnic and socioeconomic differences with risk ratios in Black/African American 0.47 (95% CI 0.41 to 0.53), ARR 9.0%; Hispanic/Latino 0.63 (95% CI 0.58 to 0.68), ARR 4.6%; Medicaid 0.58 (95% CI 0.54 to 0.62) ARR 7.3%; Self-Pay 0.64 (95% CI 0.58 to 0.70) ARR 11.3%.
Limitation
The analysis was limited to physician-only visits in a single setting and did not examine the reasons for visits.
Conclusion
As compared to office visits, patients using telemedicine have a lower risk of no-showing to primary care appointments. This is one step towards improved access to care.</description><identifier>ISSN: 0884-8734</identifier><identifier>ISSN: 1525-1497</identifier><identifier>EISSN: 1525-1497</identifier><identifier>DOI: 10.1007/s11606-023-08236-x</identifier><identifier>PMID: 37308779</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Government programs ; Health care ; Humans ; Internal Medicine ; Medicine ; Medicine & Public Health ; Minority & ethnic groups ; Original Research ; Pandemics ; Patients ; Physicians ; Population studies ; Primary care ; Primary Health Care ; Retrospective Studies ; Risk management ; Risk reduction ; Socioeconomic Factors ; Socioeconomics ; Telemedicine ; United States - epidemiology</subject><ispartof>Journal of general internal medicine : JGIM, 2023-09, Vol.38 (12), p.2734-2741</ispartof><rights>The Author(s), under exclusive licence to Society of General Internal Medicine 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Society of General Internal Medicine.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c431t-99b4e7d921ce9ca7f4962ae7593775bbaab9212f527173af3e681048c75e56853</citedby><cites>FETCH-LOGICAL-c431t-99b4e7d921ce9ca7f4962ae7593775bbaab9212f527173af3e681048c75e56853</cites><orcidid>0000-0003-1864-3656</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/PMC10506986/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506986/$$EHTML$$P50$$Gpubmedcentral$$H</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37308779$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shah, Dania A.</creatorcontrib><creatorcontrib>Sharer, Rustan</creatorcontrib><creatorcontrib>Sall, Dana</creatorcontrib><creatorcontrib>Bay, Curt</creatorcontrib><creatorcontrib>Turner, Alethea</creatorcontrib><creatorcontrib>Bisk, Dmitry</creatorcontrib><creatorcontrib>Peng, Wesley</creatorcontrib><creatorcontrib>Gifford, Benjamin</creatorcontrib><creatorcontrib>Rosas, Jennifer</creatorcontrib><creatorcontrib>Radhakrishnan, Priya</creatorcontrib><title>Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic</title><title>Journal of general internal medicine : JGIM</title><addtitle>J GEN INTERN MED</addtitle><addtitle>J Gen Intern Med</addtitle><description>Background
The coronavirus 2019 (COVID-19) pandemic resulted in rapid implementation of telemedicine. Little is known about the impact of telemedicine on both no-show rates and healthcare disparities on the general primary care population during the pandemic.
Objective
To compare no-show rates between telemedicine and office visits in the primary care setting, while controlling for the burden of COVID-19 cases, with focus on underserved populations.
Design
Retrospective cohort study.
Setting
Multi-center urban network of primary care clinics between April 2021 and December 2021.
Participants
A total of 311,517 completed primary care physician visits across 164,647 patients.
Main Measures
The primary outcome was risk ratio of no-show incidences (i.e., no-show rates) between telemedicine and office visits across demographic sub-groups including age, ethnicity, race, and payor type.
Results
Compared to in-office visits, the overall risk of no-showing favored telemedicine, adjusted risk ratio of 0.68 (95% CI 0.65 to 0.71), absolute risk reduction (ARR) 4.0%. This favorability was most profound in several cohorts with racial/ethnic and socioeconomic differences with risk ratios in Black/African American 0.47 (95% CI 0.41 to 0.53), ARR 9.0%; Hispanic/Latino 0.63 (95% CI 0.58 to 0.68), ARR 4.6%; Medicaid 0.58 (95% CI 0.54 to 0.62) ARR 7.3%; Self-Pay 0.64 (95% CI 0.58 to 0.70) ARR 11.3%.
Limitation
The analysis was limited to physician-only visits in a single setting and did not examine the reasons for visits.
Conclusion
As compared to office visits, patients using telemedicine have a lower risk of no-showing to primary care appointments. This is one step towards improved access to care.</description><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Government programs</subject><subject>Health care</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Minority & ethnic groups</subject><subject>Original Research</subject><subject>Pandemics</subject><subject>Patients</subject><subject>Physicians</subject><subject>Population studies</subject><subject>Primary care</subject><subject>Primary Health Care</subject><subject>Retrospective Studies</subject><subject>Risk management</subject><subject>Risk reduction</subject><subject>Socioeconomic Factors</subject><subject>Socioeconomics</subject><subject>Telemedicine</subject><subject>United States - epidemiology</subject><issn>0884-8734</issn><issn>1525-1497</issn><issn>1525-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kU1v1DAQhiMEokvhD3BAlrhwqMEfcWyfENotpVJFq7ZwtRzvpHHJ2oud0Pbf1yWlfBw4zWGeeWfeeavqJSVvKSHyXaa0IQ0mjGOiGG_w9aNqQQUTmNZaPq4WRKkaK8nrnepZzpeEUM6YelrtcMmJklIvqptT67wd9tD-2Afv9pANa3QWnY_gYogb79DKdx0kCA4y8gGdJL-x6QYtbQL0OeKzPl6hU5-_oSs_9ugcBtjA2jsfAK2m5MMFGntAy-OvhytMNTopG6DoPq-edHbI8OK-7lZfPu6fLz_ho-ODw-WHI-xqTkesdVuDXGtGHWhnZVfrhlmQQnMpRdta25Ye6wSTVHLbcWgUJbVyUoBolOC71ftZdzu15TAHYUx2MNvZhonWm787wffmIv4wlAjSaNUUhTf3Cil-nyCPZuOzg2GwAeKUDVNMCEJqRgr6-h_0Mk4pFH-FaoSuqRC8UGymXIo5J-gerqHE3EVr5mhNidb8jNZcl6FXf_p4GPmVZQH4DOTt3dch_d79H9lbNh-usw</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Shah, Dania A.</creator><creator>Sharer, Rustan</creator><creator>Sall, Dana</creator><creator>Bay, Curt</creator><creator>Turner, Alethea</creator><creator>Bisk, Dmitry</creator><creator>Peng, Wesley</creator><creator>Gifford, Benjamin</creator><creator>Rosas, Jennifer</creator><creator>Radhakrishnan, Priya</creator><general>Springer International Publishing</general><general>Springer Nature B.V</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>3V.</scope><scope>7QL</scope><scope>7RV</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88C</scope><scope>8AO</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M7N</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-1864-3656</orcidid></search><sort><creationdate>20230901</creationdate><title>Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic</title><author>Shah, Dania A. ; Sharer, Rustan ; Sall, Dana ; Bay, Curt ; Turner, Alethea ; Bisk, Dmitry ; Peng, Wesley ; Gifford, Benjamin ; Rosas, Jennifer ; Radhakrishnan, Priya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-99b4e7d921ce9ca7f4962ae7593775bbaab9212f527173af3e681048c75e56853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Government programs</topic><topic>Health care</topic><topic>Humans</topic><topic>Internal Medicine</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Minority & ethnic groups</topic><topic>Original Research</topic><topic>Pandemics</topic><topic>Patients</topic><topic>Physicians</topic><topic>Population studies</topic><topic>Primary care</topic><topic>Primary Health Care</topic><topic>Retrospective Studies</topic><topic>Risk management</topic><topic>Risk reduction</topic><topic>Socioeconomic Factors</topic><topic>Socioeconomics</topic><topic>Telemedicine</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shah, Dania A.</creatorcontrib><creatorcontrib>Sharer, Rustan</creatorcontrib><creatorcontrib>Sall, Dana</creatorcontrib><creatorcontrib>Bay, Curt</creatorcontrib><creatorcontrib>Turner, Alethea</creatorcontrib><creatorcontrib>Bisk, Dmitry</creatorcontrib><creatorcontrib>Peng, Wesley</creatorcontrib><creatorcontrib>Gifford, Benjamin</creatorcontrib><creatorcontrib>Rosas, Jennifer</creatorcontrib><creatorcontrib>Radhakrishnan, Priya</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>ProQuest Nursing & Allied Health Database</collection><collection>Virology and AIDS Abstracts</collection><collection>Health & Medical Collection (Proquest)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest Healthcare Administration Database</collection><collection>Medical Database</collection><collection>ProQuest Research Library</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of general internal medicine : JGIM</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shah, Dania A.</au><au>Sharer, Rustan</au><au>Sall, Dana</au><au>Bay, Curt</au><au>Turner, Alethea</au><au>Bisk, Dmitry</au><au>Peng, Wesley</au><au>Gifford, Benjamin</au><au>Rosas, Jennifer</au><au>Radhakrishnan, Priya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic</atitle><jtitle>Journal of general internal medicine : JGIM</jtitle><stitle>J GEN INTERN MED</stitle><addtitle>J Gen Intern Med</addtitle><date>2023-09-01</date><risdate>2023</risdate><volume>38</volume><issue>12</issue><spage>2734</spage><epage>2741</epage><pages>2734-2741</pages><issn>0884-8734</issn><issn>1525-1497</issn><eissn>1525-1497</eissn><abstract>Background
The coronavirus 2019 (COVID-19) pandemic resulted in rapid implementation of telemedicine. Little is known about the impact of telemedicine on both no-show rates and healthcare disparities on the general primary care population during the pandemic.
Objective
To compare no-show rates between telemedicine and office visits in the primary care setting, while controlling for the burden of COVID-19 cases, with focus on underserved populations.
Design
Retrospective cohort study.
Setting
Multi-center urban network of primary care clinics between April 2021 and December 2021.
Participants
A total of 311,517 completed primary care physician visits across 164,647 patients.
Main Measures
The primary outcome was risk ratio of no-show incidences (i.e., no-show rates) between telemedicine and office visits across demographic sub-groups including age, ethnicity, race, and payor type.
Results
Compared to in-office visits, the overall risk of no-showing favored telemedicine, adjusted risk ratio of 0.68 (95% CI 0.65 to 0.71), absolute risk reduction (ARR) 4.0%. This favorability was most profound in several cohorts with racial/ethnic and socioeconomic differences with risk ratios in Black/African American 0.47 (95% CI 0.41 to 0.53), ARR 9.0%; Hispanic/Latino 0.63 (95% CI 0.58 to 0.68), ARR 4.6%; Medicaid 0.58 (95% CI 0.54 to 0.62) ARR 7.3%; Self-Pay 0.64 (95% CI 0.58 to 0.70) ARR 11.3%.
Limitation
The analysis was limited to physician-only visits in a single setting and did not examine the reasons for visits.
Conclusion
As compared to office visits, patients using telemedicine have a lower risk of no-showing to primary care appointments. This is one step towards improved access to care.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>37308779</pmid><doi>10.1007/s11606-023-08236-x</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-1864-3656</orcidid></addata></record> |
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source | Springer Link; PubMed Central |
subjects | Coronaviruses COVID-19 COVID-19 - epidemiology Government programs Health care Humans Internal Medicine Medicine Medicine & Public Health Minority & ethnic groups Original Research Pandemics Patients Physicians Population studies Primary care Primary Health Care Retrospective Studies Risk management Risk reduction Socioeconomic Factors Socioeconomics Telemedicine United States - epidemiology |
title | Racial, Ethnic, and Socioeconomic Differences in Primary Care No-Show Risk with Telemedicine During the COVID-19 Pandemic |
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