Age and Medicare Insurance are Barriers to Telemedicine Access—A Quality Improvement Project
Background Telehealth use has had widespread expansion and adoption over the past two years. This study aims to evaluate access to telehealth essentials (TE) using a novel metric. Methods This single institute study surveyed outpatient surgical patients to determine their access to TE. Generalized l...
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| Veröffentlicht in: | The American surgeon 2023-05, Vol.89 (5), p.1643-1649 |
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| container_issue | 5 |
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| container_title | The American surgeon |
| container_volume | 89 |
| creator | Madabhushi, Vashisht McLouth, Christopher J. King, Robert Bhakta, Avinash Beck, Sandra Patel, Jitesh A. |
| description | Background
Telehealth use has had widespread expansion and adoption over the past two years. This study aims to evaluate access to telehealth essentials (TE) using a novel metric.
Methods
This single institute study surveyed outpatient surgical patients to determine their access to TE. Generalized linear mixed models were used to determine the relationship of demographic and county-level variables on access to four TE.
Results
138 patients were surveyed. Sixty-six (47.8%) were from Appalachian Kentucky. In the survey cohort, 122 (88.4%) had smart phones, 109 (80.7%) had devices with video messaging capabilities, 106 (80.9%) had cellular reception, and 112 (82.4%) had access to WiFi. Increasing age and Medicare insurance were the most consistent predictors of lack of access to TE.
Conclusion
Rural Appalachian Kentucky has access to TE. Telehealth has the potential to decrease the healthcare inequity in rural populations, but incompletely address this inequity for the aging population. |
| doi_str_mv | 10.1177/00031348221074234 |
| format | Article |
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Telehealth use has had widespread expansion and adoption over the past two years. This study aims to evaluate access to telehealth essentials (TE) using a novel metric.
Methods
This single institute study surveyed outpatient surgical patients to determine their access to TE. Generalized linear mixed models were used to determine the relationship of demographic and county-level variables on access to four TE.
Results
138 patients were surveyed. Sixty-six (47.8%) were from Appalachian Kentucky. In the survey cohort, 122 (88.4%) had smart phones, 109 (80.7%) had devices with video messaging capabilities, 106 (80.9%) had cellular reception, and 112 (82.4%) had access to WiFi. Increasing age and Medicare insurance were the most consistent predictors of lack of access to TE.
Conclusion
Rural Appalachian Kentucky has access to TE. Telehealth has the potential to decrease the healthcare inequity in rural populations, but incompletely address this inequity for the aging population.</description><identifier>ISSN: 0003-1348</identifier><identifier>EISSN: 1555-9823</identifier><identifier>DOI: 10.1177/00031348221074234</identifier><identifier>PMID: 35062844</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Age ; Aged ; Aging ; Appalachian Region ; Clinics ; Demographic variables ; Economic conditions ; Family income ; Health care access ; Health care delivery ; Humans ; Insurance ; Internet ; Kentucky ; Medicaid ; Medicare ; Mortality ; Patients ; Quality control ; Quality Improvement ; Rural areas ; Rural populations ; Smartphones ; Statistical models ; Telemedicine ; Unemployment ; United States ; White people ; Wireless access points</subject><ispartof>The American surgeon, 2023-05, Vol.89 (5), p.1643-1649</ispartof><rights>The Author(s) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-edc62ea2a964e4f8159573208c1ee464d5f766d9e2a06079b1d6ec6dd00655873</citedby><cites>FETCH-LOGICAL-c368t-edc62ea2a964e4f8159573208c1ee464d5f766d9e2a06079b1d6ec6dd00655873</cites><orcidid>0000-0003-4720-8637</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/00031348221074234$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/00031348221074234$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35062844$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Madabhushi, Vashisht</creatorcontrib><creatorcontrib>McLouth, Christopher J.</creatorcontrib><creatorcontrib>King, Robert</creatorcontrib><creatorcontrib>Bhakta, Avinash</creatorcontrib><creatorcontrib>Beck, Sandra</creatorcontrib><creatorcontrib>Patel, Jitesh A.</creatorcontrib><title>Age and Medicare Insurance are Barriers to Telemedicine Access—A Quality Improvement Project</title><title>The American surgeon</title><addtitle>Am Surg</addtitle><description>Background
Telehealth use has had widespread expansion and adoption over the past two years. This study aims to evaluate access to telehealth essentials (TE) using a novel metric.
Methods
This single institute study surveyed outpatient surgical patients to determine their access to TE. Generalized linear mixed models were used to determine the relationship of demographic and county-level variables on access to four TE.
Results
138 patients were surveyed. Sixty-six (47.8%) were from Appalachian Kentucky. In the survey cohort, 122 (88.4%) had smart phones, 109 (80.7%) had devices with video messaging capabilities, 106 (80.9%) had cellular reception, and 112 (82.4%) had access to WiFi. Increasing age and Medicare insurance were the most consistent predictors of lack of access to TE.
Conclusion
Rural Appalachian Kentucky has access to TE. Telehealth has the potential to decrease the healthcare inequity in rural populations, but incompletely address this inequity for the aging population.</description><subject>Age</subject><subject>Aged</subject><subject>Aging</subject><subject>Appalachian Region</subject><subject>Clinics</subject><subject>Demographic variables</subject><subject>Economic conditions</subject><subject>Family income</subject><subject>Health care access</subject><subject>Health care delivery</subject><subject>Humans</subject><subject>Insurance</subject><subject>Internet</subject><subject>Kentucky</subject><subject>Medicaid</subject><subject>Medicare</subject><subject>Mortality</subject><subject>Patients</subject><subject>Quality control</subject><subject>Quality Improvement</subject><subject>Rural areas</subject><subject>Rural populations</subject><subject>Smartphones</subject><subject>Statistical models</subject><subject>Telemedicine</subject><subject>Unemployment</subject><subject>United States</subject><subject>White people</subject><subject>Wireless access points</subject><issn>0003-1348</issn><issn>1555-9823</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10N1KwzAUB_AgipvTB_BGAt5405nvppdz-DGYqDBvLVl6Ojq6VpNW2J0P4RP6JKZsKihehZP8zsnhj9AxJUNK4_icEMIpF5oxSmLBuNhBfSqljBLN-C7qd-9RB3rowPtlKIWSdB_1uCSKaSH66Gm0AGyqDN9CVljjAE8q3zpT2XAdqgvjXAHO46bGMyhh1bGiAjyyFrz_eHsf4YfWlEWzxpPVs6tfA6kafO_qJdjmEO3lpvRwtD0H6PHqcja-iaZ315PxaBpZrnQTQWYVA8NMogSIXFOZyJgzoi0FEEpkMo-VyhJghigSJ3OaKbAqywhRUuqYD9DZZm7Y4KUF36SrwlsoS1NB3fqUKcaY5rGWgZ7-osu6dVXYLuVEqYCkJEHRjbKu9t5Bnj67YmXcOqUk7cJP_4Qfek62k9t5yOm74yvtAIYb4M0Cfr79f-InlFmLJg</recordid><startdate>202305</startdate><enddate>202305</enddate><creator>Madabhushi, Vashisht</creator><creator>McLouth, Christopher J.</creator><creator>King, Robert</creator><creator>Bhakta, Avinash</creator><creator>Beck, Sandra</creator><creator>Patel, Jitesh A.</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, 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>4T-</scope><scope>4U-</scope><scope>7QL</scope><scope>7T7</scope><scope>7U9</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H94</scope><scope>K9.</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-4720-8637</orcidid></search><sort><creationdate>202305</creationdate><title>Age and Medicare Insurance are Barriers to Telemedicine Access—A Quality Improvement Project</title><author>Madabhushi, Vashisht ; McLouth, Christopher J. ; King, Robert ; Bhakta, Avinash ; Beck, Sandra ; Patel, Jitesh A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-edc62ea2a964e4f8159573208c1ee464d5f766d9e2a06079b1d6ec6dd00655873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Aged</topic><topic>Aging</topic><topic>Appalachian Region</topic><topic>Clinics</topic><topic>Demographic variables</topic><topic>Economic conditions</topic><topic>Family income</topic><topic>Health care access</topic><topic>Health care delivery</topic><topic>Humans</topic><topic>Insurance</topic><topic>Internet</topic><topic>Kentucky</topic><topic>Medicaid</topic><topic>Medicare</topic><topic>Mortality</topic><topic>Patients</topic><topic>Quality control</topic><topic>Quality Improvement</topic><topic>Rural areas</topic><topic>Rural populations</topic><topic>Smartphones</topic><topic>Statistical models</topic><topic>Telemedicine</topic><topic>Unemployment</topic><topic>United States</topic><topic>White people</topic><topic>Wireless access points</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Madabhushi, Vashisht</creatorcontrib><creatorcontrib>McLouth, Christopher J.</creatorcontrib><creatorcontrib>King, Robert</creatorcontrib><creatorcontrib>Bhakta, Avinash</creatorcontrib><creatorcontrib>Beck, Sandra</creatorcontrib><creatorcontrib>Patel, Jitesh A.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>The American surgeon</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Madabhushi, Vashisht</au><au>McLouth, Christopher J.</au><au>King, Robert</au><au>Bhakta, Avinash</au><au>Beck, Sandra</au><au>Patel, Jitesh A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Age and Medicare Insurance are Barriers to Telemedicine Access—A Quality Improvement Project</atitle><jtitle>The American surgeon</jtitle><addtitle>Am Surg</addtitle><date>2023-05</date><risdate>2023</risdate><volume>89</volume><issue>5</issue><spage>1643</spage><epage>1649</epage><pages>1643-1649</pages><issn>0003-1348</issn><eissn>1555-9823</eissn><abstract>Background
Telehealth use has had widespread expansion and adoption over the past two years. This study aims to evaluate access to telehealth essentials (TE) using a novel metric.
Methods
This single institute study surveyed outpatient surgical patients to determine their access to TE. Generalized linear mixed models were used to determine the relationship of demographic and county-level variables on access to four TE.
Results
138 patients were surveyed. Sixty-six (47.8%) were from Appalachian Kentucky. In the survey cohort, 122 (88.4%) had smart phones, 109 (80.7%) had devices with video messaging capabilities, 106 (80.9%) had cellular reception, and 112 (82.4%) had access to WiFi. Increasing age and Medicare insurance were the most consistent predictors of lack of access to TE.
Conclusion
Rural Appalachian Kentucky has access to TE. Telehealth has the potential to decrease the healthcare inequity in rural populations, but incompletely address this inequity for the aging population.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><pmid>35062844</pmid><doi>10.1177/00031348221074234</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-4720-8637</orcidid></addata></record> |
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| source | MEDLINE; SAGE Complete |
| subjects | Age Aged Aging Appalachian Region Clinics Demographic variables Economic conditions Family income Health care access Health care delivery Humans Insurance Internet Kentucky Medicaid Medicare Mortality Patients Quality control Quality Improvement Rural areas Rural populations Smartphones Statistical models Telemedicine Unemployment United States White people Wireless access points |
| title | Age and Medicare Insurance are Barriers to Telemedicine Access—A Quality Improvement Project |
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