Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals
Introduction: Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial...
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Veröffentlicht in: | Telemedicine journal and e-health 2023-11, Vol.29 (11), p.1624-1633 |
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creator | Najarian, Matthew Goudie, Anthony Bona, Jonathan P Rezaeiahari, Mandana Young, Sean G Bogulski, Cari A Hayes, Corey J |
description | Introduction:
Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial and transportation barriers. The goal of this study was to assess the association between social determinants of health and adoption of RPM.
Methods:
This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's Annual Survey (2018) and spatially linked census tract–level environmental and social determinants of health obtained from the Social Vulnerability Index (2018).
Results:
A total of 4,206 hospitals (1,681 rural and 2,525 urban hospitals) met study criteria. Rural hospitals near households in the lower middle quartile SES were associated with a 33.5% lower likelihood of having adopted RPM for chronic care management compared with rural hospitals near households in the highest quartile SES (adjusted odds ratios [aOR] = 0.665; 95% confidence interval [CI]: 0.453–0.977). Urban hospitals near households in the lowest quartile SES were associated with a 41.9% lower likelihood of having adopted RPM for chronic care management compared with urban hospitals near households in the highest quartile SES (aOR = 0.581; 95% CI: 0.435–0.775). Similar trends in accessibility were found with RPM for postdischarge services among urban hospitals.
Conclusion:
Our findings highlight the importance of hospital responsibility and state and federal policy approaches toward ensuring equitable access to RPM services for patients characterized by lower SES. |
doi_str_mv | 10.1089/tmj.2022.0412 |
format | Article |
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Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial and transportation barriers. The goal of this study was to assess the association between social determinants of health and adoption of RPM.
Methods:
This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's Annual Survey (2018) and spatially linked census tract–level environmental and social determinants of health obtained from the Social Vulnerability Index (2018).
Results:
A total of 4,206 hospitals (1,681 rural and 2,525 urban hospitals) met study criteria. Rural hospitals near households in the lower middle quartile SES were associated with a 33.5% lower likelihood of having adopted RPM for chronic care management compared with rural hospitals near households in the highest quartile SES (adjusted odds ratios [aOR] = 0.665; 95% confidence interval [CI]: 0.453–0.977). Urban hospitals near households in the lowest quartile SES were associated with a 41.9% lower likelihood of having adopted RPM for chronic care management compared with urban hospitals near households in the highest quartile SES (aOR = 0.581; 95% CI: 0.435–0.775). Similar trends in accessibility were found with RPM for postdischarge services among urban hospitals.
Conclusion:
Our findings highlight the importance of hospital responsibility and state and federal policy approaches toward ensuring equitable access to RPM services for patients characterized by lower SES.</description><identifier>ISSN: 1530-5627</identifier><identifier>ISSN: 1556-3669</identifier><identifier>EISSN: 1556-3669</identifier><identifier>DOI: 10.1089/tmj.2022.0412</identifier><identifier>PMID: 37010391</identifier><language>eng</language><publisher>United States: Mary Ann Liebert, Inc., publishers</publisher><subject>Aftercare ; Cross-Sectional Studies ; Hospitals, Urban ; Humans ; Original Research ; Patient Discharge ; Rural Population ; Socioeconomic Factors</subject><ispartof>Telemedicine journal and e-health, 2023-11, Vol.29 (11), p.1624-1633</ispartof><rights>2023, Mary Ann Liebert, Inc., publishers</rights><rights>Copyright 2023, Mary Ann Liebert, Inc., publishers 2023 Mary Ann Liebert, Inc., publishers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-b0b1995e37bd82068a0d90129e6564c140e2cb5d2c0872f11cddf473a08c943a3</citedby><cites>FETCH-LOGICAL-c393t-b0b1995e37bd82068a0d90129e6564c140e2cb5d2c0872f11cddf473a08c943a3</cites><orcidid>0000-0001-6002-5945 ; 0000-0002-7776-6157 ; 0000-0002-2594-8792</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37010391$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Najarian, Matthew</creatorcontrib><creatorcontrib>Goudie, Anthony</creatorcontrib><creatorcontrib>Bona, Jonathan P</creatorcontrib><creatorcontrib>Rezaeiahari, Mandana</creatorcontrib><creatorcontrib>Young, Sean G</creatorcontrib><creatorcontrib>Bogulski, Cari A</creatorcontrib><creatorcontrib>Hayes, Corey J</creatorcontrib><title>Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals</title><title>Telemedicine journal and e-health</title><addtitle>Telemed J E Health</addtitle><description>Introduction:
Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial and transportation barriers. The goal of this study was to assess the association between social determinants of health and adoption of RPM.
Methods:
This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's Annual Survey (2018) and spatially linked census tract–level environmental and social determinants of health obtained from the Social Vulnerability Index (2018).
Results:
A total of 4,206 hospitals (1,681 rural and 2,525 urban hospitals) met study criteria. Rural hospitals near households in the lower middle quartile SES were associated with a 33.5% lower likelihood of having adopted RPM for chronic care management compared with rural hospitals near households in the highest quartile SES (adjusted odds ratios [aOR] = 0.665; 95% confidence interval [CI]: 0.453–0.977). Urban hospitals near households in the lowest quartile SES were associated with a 41.9% lower likelihood of having adopted RPM for chronic care management compared with urban hospitals near households in the highest quartile SES (aOR = 0.581; 95% CI: 0.435–0.775). Similar trends in accessibility were found with RPM for postdischarge services among urban hospitals.
Conclusion:
Our findings highlight the importance of hospital responsibility and state and federal policy approaches toward ensuring equitable access to RPM services for patients characterized by lower SES.</description><subject>Aftercare</subject><subject>Cross-Sectional Studies</subject><subject>Hospitals, Urban</subject><subject>Humans</subject><subject>Original Research</subject><subject>Patient Discharge</subject><subject>Rural Population</subject><subject>Socioeconomic Factors</subject><issn>1530-5627</issn><issn>1556-3669</issn><issn>1556-3669</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUtv1TAQhSMEoqWwZIu8ZJPb8SNOvEJVebRSUatC15bjTIqr2L7Yvkj8-zq6bQWrrmZ05tOZI52meU9hQ2FQx8XfbRgwtgFB2YvmkHadbLmU6uW6c2g7yfqD5k3OdwCV6dnr5oD3QIEretjMP6J1EW0M0TtLPmPB5F0woWQSZ3KNPhYkV6Y4DIV8j8GVmFy4Jed-u6CvYj3FQE58rOL1LpmFmDCRmzSaQM5i3rpilvy2eTXXge8e5lFz8_XLz9Oz9uLy2_npyUVrueKlHWGkSnXI-3EaGMjBwKSAMoWyk8JSAcjs2E3MwtCzmVI7TbPouYHBKsENP2o-7X23u9HjZGu-mkhvk_Mm_dXROP3_Jbhf-jb-0ZRCLwQX1eHjg0OKv3eYi_YuW1wWEzDusma9ElJxBbKi7R61KeaccH76Q0Gv5ehajl7L0Ws5lf_wb7gn-rGNCvA9sMomhMXhiKk8Y3sPDPqeCw</recordid><startdate>20231101</startdate><enddate>20231101</enddate><creator>Najarian, Matthew</creator><creator>Goudie, Anthony</creator><creator>Bona, Jonathan P</creator><creator>Rezaeiahari, Mandana</creator><creator>Young, Sean G</creator><creator>Bogulski, Cari A</creator><creator>Hayes, Corey J</creator><general>Mary Ann Liebert, Inc., publishers</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6002-5945</orcidid><orcidid>https://orcid.org/0000-0002-7776-6157</orcidid><orcidid>https://orcid.org/0000-0002-2594-8792</orcidid></search><sort><creationdate>20231101</creationdate><title>Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals</title><author>Najarian, Matthew ; Goudie, Anthony ; Bona, Jonathan P ; Rezaeiahari, Mandana ; Young, Sean G ; Bogulski, Cari A ; Hayes, Corey J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-b0b1995e37bd82068a0d90129e6564c140e2cb5d2c0872f11cddf473a08c943a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aftercare</topic><topic>Cross-Sectional Studies</topic><topic>Hospitals, Urban</topic><topic>Humans</topic><topic>Original Research</topic><topic>Patient Discharge</topic><topic>Rural Population</topic><topic>Socioeconomic Factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Najarian, Matthew</creatorcontrib><creatorcontrib>Goudie, Anthony</creatorcontrib><creatorcontrib>Bona, Jonathan P</creatorcontrib><creatorcontrib>Rezaeiahari, Mandana</creatorcontrib><creatorcontrib>Young, Sean G</creatorcontrib><creatorcontrib>Bogulski, Cari A</creatorcontrib><creatorcontrib>Hayes, Corey J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Telemedicine journal and e-health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Najarian, Matthew</au><au>Goudie, Anthony</au><au>Bona, Jonathan P</au><au>Rezaeiahari, Mandana</au><au>Young, Sean G</au><au>Bogulski, Cari A</au><au>Hayes, Corey J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals</atitle><jtitle>Telemedicine journal and e-health</jtitle><addtitle>Telemed J E Health</addtitle><date>2023-11-01</date><risdate>2023</risdate><volume>29</volume><issue>11</issue><spage>1624</spage><epage>1633</epage><pages>1624-1633</pages><issn>1530-5627</issn><issn>1556-3669</issn><eissn>1556-3669</eissn><abstract>Introduction:
Remote patient monitoring (RPM) is a form of telehealth that improves quality of care for chronic disease treatment and reduces hospital readmission rates. Geographical proximity to health care is important for individuals of low socioeconomic status (SES) who face additional financial and transportation barriers. The goal of this study was to assess the association between social determinants of health and adoption of RPM.
Methods:
This cross-sectional study analyzed data from hospitals that responded to the American Hospital Association's Annual Survey (2018) and spatially linked census tract–level environmental and social determinants of health obtained from the Social Vulnerability Index (2018).
Results:
A total of 4,206 hospitals (1,681 rural and 2,525 urban hospitals) met study criteria. Rural hospitals near households in the lower middle quartile SES were associated with a 33.5% lower likelihood of having adopted RPM for chronic care management compared with rural hospitals near households in the highest quartile SES (adjusted odds ratios [aOR] = 0.665; 95% confidence interval [CI]: 0.453–0.977). Urban hospitals near households in the lowest quartile SES were associated with a 41.9% lower likelihood of having adopted RPM for chronic care management compared with urban hospitals near households in the highest quartile SES (aOR = 0.581; 95% CI: 0.435–0.775). Similar trends in accessibility were found with RPM for postdischarge services among urban hospitals.
Conclusion:
Our findings highlight the importance of hospital responsibility and state and federal policy approaches toward ensuring equitable access to RPM services for patients characterized by lower SES.</abstract><cop>United States</cop><pub>Mary Ann Liebert, Inc., publishers</pub><pmid>37010391</pmid><doi>10.1089/tmj.2022.0412</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-6002-5945</orcidid><orcidid>https://orcid.org/0000-0002-7776-6157</orcidid><orcidid>https://orcid.org/0000-0002-2594-8792</orcidid></addata></record> |
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subjects | Aftercare Cross-Sectional Studies Hospitals, Urban Humans Original Research Patient Discharge Rural Population Socioeconomic Factors |
title | Socioeconomic Determinants of Remote Patient Monitoring Implementation Among Rural and Urban Hospitals |
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