The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic
To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic. Cross-sectional survey. An online survey was sent to cancer survivors between May 2020 and Janu...
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| Veröffentlicht in: | Public health (London) 2024-07, Vol.232, p.52-60 |
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| creator | Wagner, R.W. Natori, A. Prinsloo, S. Otto, A.K. Saez-Clarke, E. Ochoa, J.M. Tworoger, S.S. Ulrich, C.M. Hathaway, C.A. Ahmed, S. McQuade, J.L. Peoples, A.R. Antoni, M.H. Penedo, F.J. Cohen, L. |
| description | To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic.
Cross-sectional survey.
An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7).
Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79–18.60), cancer (OR = 8.47; 95% CI = 3.73–19.30), and emergency (OR = 14.2; 95% CI = 5.57–36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52–0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL.
ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic. |
| doi_str_mv | 10.1016/j.puhe.2024.04.007 |
| format | Article |
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Cross-sectional survey.
An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7).
Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79–18.60), cancer (OR = 8.47; 95% CI = 3.73–19.30), and emergency (OR = 14.2; 95% CI = 5.57–36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52–0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL.
ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.</description><identifier>ISSN: 0033-3506</identifier><identifier>EISSN: 1476-5616</identifier><identifier>DOI: 10.1016/j.puhe.2024.04.007</identifier><identifier>PMID: 38735226</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Adult ; Aged ; Area deprivation index ; Cancer ; Cancer Survivors - psychology ; Cancer Survivors - statistics & numerical data ; COVID-19 - epidemiology ; Cross-Sectional Studies ; Female ; Follow-up medical care ; Health care access ; Health Services Accessibility - statistics & numerical data ; Humans ; Male ; Middle Aged ; Neoplasms - epidemiology ; Neoplasms - therapy ; Pandemics ; Quality of Life ; Residence Characteristics - statistics & numerical data ; SARS-CoV-2 ; Socioeconomic Factors ; Surveys and Questionnaires ; Telemedicine - statistics & numerical data</subject><ispartof>Public health (London), 2024-07, Vol.232, p.52-60</ispartof><rights>2024 The Royal Society for Public Health</rights><rights>Copyright © 2024 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c307t-7f4c1b09286d5cd73ee1cd19ad9a1d575df4fbdac4c90f8d9cc325b7b195fb3a3</cites><orcidid>0000-0002-6986-7046 ; 0000-0002-3971-0873 ; 0000-0001-7302-8299 ; 0000-0002-2919-0499 ; 0000-0003-3645-3960 ; 0000-0002-1146-4746 ; 0000-0002-5957-1743</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0033350624001446$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38735226$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wagner, R.W.</creatorcontrib><creatorcontrib>Natori, A.</creatorcontrib><creatorcontrib>Prinsloo, S.</creatorcontrib><creatorcontrib>Otto, A.K.</creatorcontrib><creatorcontrib>Saez-Clarke, E.</creatorcontrib><creatorcontrib>Ochoa, J.M.</creatorcontrib><creatorcontrib>Tworoger, S.S.</creatorcontrib><creatorcontrib>Ulrich, C.M.</creatorcontrib><creatorcontrib>Hathaway, C.A.</creatorcontrib><creatorcontrib>Ahmed, S.</creatorcontrib><creatorcontrib>McQuade, J.L.</creatorcontrib><creatorcontrib>Peoples, A.R.</creatorcontrib><creatorcontrib>Antoni, M.H.</creatorcontrib><creatorcontrib>Penedo, F.J.</creatorcontrib><creatorcontrib>Cohen, L.</creatorcontrib><title>The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic</title><title>Public health (London)</title><addtitle>Public Health</addtitle><description>To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic.
Cross-sectional survey.
An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7).
Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79–18.60), cancer (OR = 8.47; 95% CI = 3.73–19.30), and emergency (OR = 14.2; 95% CI = 5.57–36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52–0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL.
ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.</description><subject>Adult</subject><subject>Aged</subject><subject>Area deprivation index</subject><subject>Cancer</subject><subject>Cancer Survivors - psychology</subject><subject>Cancer Survivors - statistics & numerical data</subject><subject>COVID-19 - epidemiology</subject><subject>Cross-Sectional Studies</subject><subject>Female</subject><subject>Follow-up medical care</subject><subject>Health care access</subject><subject>Health Services Accessibility - statistics & numerical data</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neoplasms - epidemiology</subject><subject>Neoplasms - therapy</subject><subject>Pandemics</subject><subject>Quality of Life</subject><subject>Residence Characteristics - statistics & numerical data</subject><subject>SARS-CoV-2</subject><subject>Socioeconomic Factors</subject><subject>Surveys and Questionnaires</subject><subject>Telemedicine - statistics & numerical data</subject><issn>0033-3506</issn><issn>1476-5616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMFq3DAQhkVp6G6SvkAPRcdevBlJlrWGXsKSJoFAIdnkKmRp3NViW65kL-3bR8umPQYGDYz--WA-Qr4wWDFg1dV-Nc47XHHg5QpygfpAlqxUVSErVn0kSwAhCiGhWpDzlPYAwJWQn8hCrHPnvFqStN0hjaFDGlpqIhrqcIz-YCYfBuoHh3_yS3doumlHbU5Q51Ocx-N_oqYPw688HixGmuZ48IcQE3Vz9Hk-ZfbT9eNTsQkvBaejybje20ty1pou4ee3fkGef9xsN3fFw8_b-831Q2EFqKlQbWlZAzVfV05apwQis47VxtWGOamka8u2ccaWtoZ27WprBZeNalgt20YYcUG-nbhjDL9nTJPufbLYdWbAMCctQJalKNcCcpSfojaGlCK2OkvoTfyrGeijbL3XR9n6KFtDLlB56esbf256dP9X_tnNge-nAOYrDx6jTtZjduV8RDtpF_x7_FevsZI2</recordid><startdate>202407</startdate><enddate>202407</enddate><creator>Wagner, R.W.</creator><creator>Natori, A.</creator><creator>Prinsloo, S.</creator><creator>Otto, A.K.</creator><creator>Saez-Clarke, E.</creator><creator>Ochoa, J.M.</creator><creator>Tworoger, S.S.</creator><creator>Ulrich, C.M.</creator><creator>Hathaway, C.A.</creator><creator>Ahmed, S.</creator><creator>McQuade, J.L.</creator><creator>Peoples, A.R.</creator><creator>Antoni, M.H.</creator><creator>Penedo, F.J.</creator><creator>Cohen, L.</creator><general>Elsevier Ltd</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><orcidid>https://orcid.org/0000-0002-6986-7046</orcidid><orcidid>https://orcid.org/0000-0002-3971-0873</orcidid><orcidid>https://orcid.org/0000-0001-7302-8299</orcidid><orcidid>https://orcid.org/0000-0002-2919-0499</orcidid><orcidid>https://orcid.org/0000-0003-3645-3960</orcidid><orcidid>https://orcid.org/0000-0002-1146-4746</orcidid><orcidid>https://orcid.org/0000-0002-5957-1743</orcidid></search><sort><creationdate>202407</creationdate><title>The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic</title><author>Wagner, R.W. ; Natori, A. ; Prinsloo, S. ; Otto, A.K. ; Saez-Clarke, E. ; Ochoa, J.M. ; Tworoger, S.S. ; Ulrich, C.M. ; Hathaway, C.A. ; Ahmed, S. ; McQuade, J.L. ; Peoples, A.R. ; Antoni, M.H. ; Penedo, F.J. ; Cohen, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-7f4c1b09286d5cd73ee1cd19ad9a1d575df4fbdac4c90f8d9cc325b7b195fb3a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Area deprivation index</topic><topic>Cancer</topic><topic>Cancer Survivors - psychology</topic><topic>Cancer Survivors - statistics & numerical data</topic><topic>COVID-19 - epidemiology</topic><topic>Cross-Sectional Studies</topic><topic>Female</topic><topic>Follow-up medical care</topic><topic>Health care access</topic><topic>Health Services Accessibility - statistics & numerical data</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoplasms - epidemiology</topic><topic>Neoplasms - therapy</topic><topic>Pandemics</topic><topic>Quality of Life</topic><topic>Residence Characteristics - statistics & numerical data</topic><topic>SARS-CoV-2</topic><topic>Socioeconomic Factors</topic><topic>Surveys and Questionnaires</topic><topic>Telemedicine - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wagner, R.W.</creatorcontrib><creatorcontrib>Natori, A.</creatorcontrib><creatorcontrib>Prinsloo, S.</creatorcontrib><creatorcontrib>Otto, A.K.</creatorcontrib><creatorcontrib>Saez-Clarke, E.</creatorcontrib><creatorcontrib>Ochoa, J.M.</creatorcontrib><creatorcontrib>Tworoger, S.S.</creatorcontrib><creatorcontrib>Ulrich, C.M.</creatorcontrib><creatorcontrib>Hathaway, C.A.</creatorcontrib><creatorcontrib>Ahmed, S.</creatorcontrib><creatorcontrib>McQuade, J.L.</creatorcontrib><creatorcontrib>Peoples, A.R.</creatorcontrib><creatorcontrib>Antoni, M.H.</creatorcontrib><creatorcontrib>Penedo, F.J.</creatorcontrib><creatorcontrib>Cohen, L.</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><jtitle>Public health (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wagner, R.W.</au><au>Natori, A.</au><au>Prinsloo, S.</au><au>Otto, A.K.</au><au>Saez-Clarke, E.</au><au>Ochoa, J.M.</au><au>Tworoger, S.S.</au><au>Ulrich, C.M.</au><au>Hathaway, C.A.</au><au>Ahmed, S.</au><au>McQuade, J.L.</au><au>Peoples, A.R.</au><au>Antoni, M.H.</au><au>Penedo, F.J.</au><au>Cohen, L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic</atitle><jtitle>Public health (London)</jtitle><addtitle>Public Health</addtitle><date>2024-07</date><risdate>2024</risdate><volume>232</volume><spage>52</spage><epage>60</epage><pages>52-60</pages><issn>0033-3506</issn><eissn>1476-5616</eissn><abstract>To examine the associations between demographic/medical and geographic factors with follow-up medical care and health-related quality of life (HRQoL) among cancer survivors during the SARS-CoV-2 pandemic.
Cross-sectional survey.
An online survey was sent to cancer survivors between May 2020 and January 2021, exploring their experience with SARS-CoV-2, follow-up care, and HRQoL. PolicyMap was used to geocode home addresses. Both geographic and demographic/medical factors were examined for their associations with SARS-CoV-2 experience, follow-up care, and HRQoL (FACT-G7).
Geographic data were available for 9651 participants. Patients living in the highest area deprivation index (ADI) neighborhoods (most deprived) had higher odds of avoiding in-person general (odds ratio [OR] = 7.20; 95% confidence interval [CI] = 2.79–18.60), cancer (OR = 8.47; 95% CI = 3.73–19.30), and emergency (OR = 14.2; 95% CI = 5.57–36.30) medical care, as well as lower odds of using telemedicine (OR = 0.61; 95% CI = 0.52–0.73) compared to the lowest ADI group. Race/ethnicity was not associated with follow-up care after controlling for ADI. The effect of ADI on HRQoL was generally in the expected direction, with higher ADI being associated with worse HRQoL.
ADI influenced follow-up medical care more than age, race/ethnicity, or health insurance type. Healthcare providers and institutions should focus on decreasing barriers to in-person and telemedicine health care that disproportionally impact those living in more deprived communities, which are exacerbated by health care disruptions like those caused by the SARS-CoV-2 pandemic.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>38735226</pmid><doi>10.1016/j.puhe.2024.04.007</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-6986-7046</orcidid><orcidid>https://orcid.org/0000-0002-3971-0873</orcidid><orcidid>https://orcid.org/0000-0001-7302-8299</orcidid><orcidid>https://orcid.org/0000-0002-2919-0499</orcidid><orcidid>https://orcid.org/0000-0003-3645-3960</orcidid><orcidid>https://orcid.org/0000-0002-1146-4746</orcidid><orcidid>https://orcid.org/0000-0002-5957-1743</orcidid></addata></record> |
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| ispartof | Public health (London), 2024-07, Vol.232, p.52-60 |
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| subjects | Adult Aged Area deprivation index Cancer Cancer Survivors - psychology Cancer Survivors - statistics & numerical data COVID-19 - epidemiology Cross-Sectional Studies Female Follow-up medical care Health care access Health Services Accessibility - statistics & numerical data Humans Male Middle Aged Neoplasms - epidemiology Neoplasms - therapy Pandemics Quality of Life Residence Characteristics - statistics & numerical data SARS-CoV-2 Socioeconomic Factors Surveys and Questionnaires Telemedicine - statistics & numerical data |
| title | The role of area deprivation index in health care disruptions among cancer survivors during the SARS-CoV-2 pandemic |
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