Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes
Aim To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 (COVID‐19) pandemic and identify factors related to telehealth use. Methods We compared monthly proportions of outpatient visits delivered by telehealth by r...
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Veröffentlicht in: | Diabetes, obesity & metabolism obesity & metabolism, 2023-09, Vol.25 (9), p.2680-2688 |
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creator | Shao, Yixue Shi, Lizheng Nauman, Elizabeth Price‐Haywood, Eboni Stoecker, Charles |
description | Aim
To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 (COVID‐19) pandemic and identify factors related to telehealth use.
Methods
We compared monthly proportions of outpatient visits delivered by telehealth by race/ethnicity, geography and age among Louisiana Medicaid beneficiaries with T2D using claims data from January 2018 to August 2021. We also examined the changes in provider types delivering telehealth. Multivariable logistic regression was conducted to identify individual level and zip code‐level factors associated with telehealth use during the COVID‐19 pandemic.
Results
The monthly proportion of outpatient visits delivered by telehealth was low ( 15%), then remained at approximately 5%. Telehealth use varied across different racial/ethnic groups, geography and age groups over years. Older beneficiaries were less probable to use telehealth during the pandemic (adjusted odds ratio [AOR] = 0.874, 95% confidence interval [CI]: 0.831‐0.919). Females used more telehealth than males (AOR = 1.359, 95% CI: 1.298‐1.423). Black beneficiaries used more telehealth than White beneficiaries (AOR = 1.067, 95% CI: 1.000‐1.139). More telehealth services were used by Medicaid beneficiaries who were living in urban areas, with more primary care utilization, and with more chronic conditions at baseline.
Conclusions
We found disparities in the uptake of telehealth during the COVID‐19 pandemic, but they might have been narrowed for some groups (Hispanic and rural) among Louisiana Medicaid beneficiaries with T2D. Future studies should explore strategies to improve access to telehealth services and reduce related disparities for the low‐income population. |
doi_str_mv | 10.1111/dom.15155 |
format | Article |
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To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 (COVID‐19) pandemic and identify factors related to telehealth use.
Methods
We compared monthly proportions of outpatient visits delivered by telehealth by race/ethnicity, geography and age among Louisiana Medicaid beneficiaries with T2D using claims data from January 2018 to August 2021. We also examined the changes in provider types delivering telehealth. Multivariable logistic regression was conducted to identify individual level and zip code‐level factors associated with telehealth use during the COVID‐19 pandemic.
Results
The monthly proportion of outpatient visits delivered by telehealth was low (< 1%) before the pandemic, spiked in April 2020 (> 15%), then remained at approximately 5%. Telehealth use varied across different racial/ethnic groups, geography and age groups over years. Older beneficiaries were less probable to use telehealth during the pandemic (adjusted odds ratio [AOR] = 0.874, 95% confidence interval [CI]: 0.831‐0.919). Females used more telehealth than males (AOR = 1.359, 95% CI: 1.298‐1.423). Black beneficiaries used more telehealth than White beneficiaries (AOR = 1.067, 95% CI: 1.000‐1.139). More telehealth services were used by Medicaid beneficiaries who were living in urban areas, with more primary care utilization, and with more chronic conditions at baseline.
Conclusions
We found disparities in the uptake of telehealth during the COVID‐19 pandemic, but they might have been narrowed for some groups (Hispanic and rural) among Louisiana Medicaid beneficiaries with T2D. Future studies should explore strategies to improve access to telehealth services and reduce related disparities for the low‐income population.</description><identifier>ISSN: 1462-8902</identifier><identifier>EISSN: 1463-1326</identifier><identifier>DOI: 10.1111/dom.15155</identifier><identifier>PMID: 37340211</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Chronic illnesses ; Cohort analysis ; cohort study ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - therapy ; Diabetes ; Diabetes mellitus (non-insulin dependent) ; Diabetes Mellitus, Type 2 - epidemiology ; Diabetes Mellitus, Type 2 - therapy ; Female ; Geography ; Humans ; Louisiana - epidemiology ; Male ; Medicaid ; Minority & ethnic groups ; Pandemics ; Primary care ; real‐world evidence ; Telemedicine ; Trends ; type 2 diabetes ; United States - epidemiology</subject><ispartof>Diabetes, obesity & metabolism, 2023-09, Vol.25 (9), p.2680-2688</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.</rights><rights>2023. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3885-c25334ab1fa32aad8ef3eb3c6abff3e4c819b18626732f91a2ef42f100c12a033</citedby><cites>FETCH-LOGICAL-c3885-c25334ab1fa32aad8ef3eb3c6abff3e4c819b18626732f91a2ef42f100c12a033</cites><orcidid>0000-0002-7827-6766 ; 0000-0003-1410-5455</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fdom.15155$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fdom.15155$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37340211$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shao, Yixue</creatorcontrib><creatorcontrib>Shi, Lizheng</creatorcontrib><creatorcontrib>Nauman, Elizabeth</creatorcontrib><creatorcontrib>Price‐Haywood, Eboni</creatorcontrib><creatorcontrib>Stoecker, Charles</creatorcontrib><title>Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes</title><title>Diabetes, obesity & metabolism</title><addtitle>Diabetes Obes Metab</addtitle><description>Aim
To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 (COVID‐19) pandemic and identify factors related to telehealth use.
Methods
We compared monthly proportions of outpatient visits delivered by telehealth by race/ethnicity, geography and age among Louisiana Medicaid beneficiaries with T2D using claims data from January 2018 to August 2021. We also examined the changes in provider types delivering telehealth. Multivariable logistic regression was conducted to identify individual level and zip code‐level factors associated with telehealth use during the COVID‐19 pandemic.
Results
The monthly proportion of outpatient visits delivered by telehealth was low (< 1%) before the pandemic, spiked in April 2020 (> 15%), then remained at approximately 5%. Telehealth use varied across different racial/ethnic groups, geography and age groups over years. Older beneficiaries were less probable to use telehealth during the pandemic (adjusted odds ratio [AOR] = 0.874, 95% confidence interval [CI]: 0.831‐0.919). Females used more telehealth than males (AOR = 1.359, 95% CI: 1.298‐1.423). Black beneficiaries used more telehealth than White beneficiaries (AOR = 1.067, 95% CI: 1.000‐1.139). More telehealth services were used by Medicaid beneficiaries who were living in urban areas, with more primary care utilization, and with more chronic conditions at baseline.
Conclusions
We found disparities in the uptake of telehealth during the COVID‐19 pandemic, but they might have been narrowed for some groups (Hispanic and rural) among Louisiana Medicaid beneficiaries with T2D. Future studies should explore strategies to improve access to telehealth services and reduce related disparities for the low‐income population.</description><subject>Chronic illnesses</subject><subject>Cohort analysis</subject><subject>cohort study</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - therapy</subject><subject>Diabetes</subject><subject>Diabetes mellitus (non-insulin dependent)</subject><subject>Diabetes Mellitus, Type 2 - epidemiology</subject><subject>Diabetes Mellitus, Type 2 - therapy</subject><subject>Female</subject><subject>Geography</subject><subject>Humans</subject><subject>Louisiana - epidemiology</subject><subject>Male</subject><subject>Medicaid</subject><subject>Minority & ethnic groups</subject><subject>Pandemics</subject><subject>Primary care</subject><subject>real‐world evidence</subject><subject>Telemedicine</subject><subject>Trends</subject><subject>type 2 diabetes</subject><subject>United States - epidemiology</subject><issn>1462-8902</issn><issn>1463-1326</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp10LlOAzEQBmALgSAcBS-ALNFAsYmvdZwScUuJ0oR6NWuPwWiPsN4VyttjCFAg4Wam-OaX9RNyytmYpzdxbT3mOc_zHTLiSsuMS6F3v3aRmRkTB-QwxlfGmJJmuk8O5FQqJjgfEbfqsHGRQuOoC3ENXegDRhoa2mOFLwhV_0KHiBTqtnmm83YIMUADdIEuWAiOltigDzak03T4HpLvN2ukIgVCiT3GY7LnoYp48j2PyNPd7er6IZsv7x-vr-aZlcbkmRW5lApK7kEKAGfQSyyl1VD6tClr-KzkRgs9lcLPOAj0SnjOmOUCmJRH5GKbu-7atwFjX9QhWqwqaLAdYiGMMFKLXItEz__Q13bomvS7pJSSM6W1Supyq2zXxtihL9ZdqKHbFJwVn9UXqfriq_pkz74Th7JG9yt_uk5gsgXvocLN_0nFzXKxjfwAYYWNLA</recordid><startdate>202309</startdate><enddate>202309</enddate><creator>Shao, Yixue</creator><creator>Shi, Lizheng</creator><creator>Nauman, Elizabeth</creator><creator>Price‐Haywood, Eboni</creator><creator>Stoecker, Charles</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>24P</scope><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>7T5</scope><scope>7TK</scope><scope>H94</scope><scope>K9.</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-7827-6766</orcidid><orcidid>https://orcid.org/0000-0003-1410-5455</orcidid></search><sort><creationdate>202309</creationdate><title>Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes</title><author>Shao, Yixue ; Shi, Lizheng ; Nauman, Elizabeth ; Price‐Haywood, Eboni ; Stoecker, Charles</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3885-c25334ab1fa32aad8ef3eb3c6abff3e4c819b18626732f91a2ef42f100c12a033</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Chronic illnesses</topic><topic>Cohort analysis</topic><topic>cohort study</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - therapy</topic><topic>Diabetes</topic><topic>Diabetes mellitus (non-insulin dependent)</topic><topic>Diabetes Mellitus, Type 2 - epidemiology</topic><topic>Diabetes Mellitus, Type 2 - therapy</topic><topic>Female</topic><topic>Geography</topic><topic>Humans</topic><topic>Louisiana - epidemiology</topic><topic>Male</topic><topic>Medicaid</topic><topic>Minority & ethnic groups</topic><topic>Pandemics</topic><topic>Primary care</topic><topic>real‐world evidence</topic><topic>Telemedicine</topic><topic>Trends</topic><topic>type 2 diabetes</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shao, Yixue</creatorcontrib><creatorcontrib>Shi, Lizheng</creatorcontrib><creatorcontrib>Nauman, Elizabeth</creatorcontrib><creatorcontrib>Price‐Haywood, Eboni</creatorcontrib><creatorcontrib>Stoecker, Charles</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Diabetes, obesity & metabolism</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shao, Yixue</au><au>Shi, Lizheng</au><au>Nauman, Elizabeth</au><au>Price‐Haywood, Eboni</au><au>Stoecker, Charles</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes</atitle><jtitle>Diabetes, obesity & metabolism</jtitle><addtitle>Diabetes Obes Metab</addtitle><date>2023-09</date><risdate>2023</risdate><volume>25</volume><issue>9</issue><spage>2680</spage><epage>2688</epage><pages>2680-2688</pages><issn>1462-8902</issn><eissn>1463-1326</eissn><abstract>Aim
To examine trends in telehealth use among Medicaid beneficiaries with type 2 diabetes (T2D) before and during the coronavirus disease 2019 (COVID‐19) pandemic and identify factors related to telehealth use.
Methods
We compared monthly proportions of outpatient visits delivered by telehealth by race/ethnicity, geography and age among Louisiana Medicaid beneficiaries with T2D using claims data from January 2018 to August 2021. We also examined the changes in provider types delivering telehealth. Multivariable logistic regression was conducted to identify individual level and zip code‐level factors associated with telehealth use during the COVID‐19 pandemic.
Results
The monthly proportion of outpatient visits delivered by telehealth was low (< 1%) before the pandemic, spiked in April 2020 (> 15%), then remained at approximately 5%. Telehealth use varied across different racial/ethnic groups, geography and age groups over years. Older beneficiaries were less probable to use telehealth during the pandemic (adjusted odds ratio [AOR] = 0.874, 95% confidence interval [CI]: 0.831‐0.919). Females used more telehealth than males (AOR = 1.359, 95% CI: 1.298‐1.423). Black beneficiaries used more telehealth than White beneficiaries (AOR = 1.067, 95% CI: 1.000‐1.139). More telehealth services were used by Medicaid beneficiaries who were living in urban areas, with more primary care utilization, and with more chronic conditions at baseline.
Conclusions
We found disparities in the uptake of telehealth during the COVID‐19 pandemic, but they might have been narrowed for some groups (Hispanic and rural) among Louisiana Medicaid beneficiaries with T2D. Future studies should explore strategies to improve access to telehealth services and reduce related disparities for the low‐income population.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>37340211</pmid><doi>10.1111/dom.15155</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7827-6766</orcidid><orcidid>https://orcid.org/0000-0003-1410-5455</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Chronic illnesses Cohort analysis cohort study Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - therapy Diabetes Diabetes mellitus (non-insulin dependent) Diabetes Mellitus, Type 2 - epidemiology Diabetes Mellitus, Type 2 - therapy Female Geography Humans Louisiana - epidemiology Male Medicaid Minority & ethnic groups Pandemics Primary care real‐world evidence Telemedicine Trends type 2 diabetes United States - epidemiology |
title | Trends and disparities in telehealth use among Louisiana Medicaid beneficiaries with type 2 diabetes |
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