Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation
To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation. Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment. American Hospital Associatio...
Gespeichert in:
Veröffentlicht in: | Public health (London) 2020-05, Vol.182, p.95-101 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 101 |
---|---|
container_issue | |
container_start_page | 95 |
container_title | Public health (London) |
container_volume | 182 |
creator | Menon, N.M. Leslie, T.F. Frankenfeld, C.L. |
description | To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation.
Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment.
American Hospital Association data were merged with American Community Survey data, and hospital was the unit of analysis. Isolation index and Atkinson's index were calculated for racial residential segregation for the census tract in which the hospital is located based on the composite census block groups. Logistic regression was used to model presence of cancer technologies as a function of percent below poverty (scaled 1–10), number of neighboring hospitals, and rural status.
Segregation measured by isolation index was associated with the availability of some technologies, independent of percentage below 125% poverty line, number of neighboring hospitals, and rural status. Diagnostic cancer technologies, such as CT scan (odds ratio [OR] = 0.928, 95% confidence interval [CI]: 0.894, 0.964), ultrasound (OR = 0.961, 95% CI: 0.927, 0.997), mammography (OR = 0.943, 95% CI: 0.914, 0.974), optical colonoscopy (OR = 0.932, 95% CI: 0.904, 0.961), and full-field digital mammography (OR = 0.948, 95% CI: 0.920, 0.977) and therapeutic cancer technology such as chemo therapy (OR = 0.963, 95% CI: 0.934, 0.992) appear to be less available in neighborhoods with higher isolation index. However, when segregation is measured by Atkinson's index, CT scan (OR = 1.064, 95% CI: 1.010, 1.121), ultrasound (OR = 1.087, 95% CI: 1.035, 1.141), mammography (OR = 1.094, 95% CI: 1.049, 1.141), and optical colonoscopy (OR = 1.053, 95% CI: 1.012, 1.095) are more available in neighborhoods with higher Atkinson's index.
These results suggest that cancer diagnostic capabilities in segregated areas are in the pathway between residential segregation and cancer treatment process, and future studies should evaluate individual-level associations.
•Hospitals in areas with higher racial isolation were less likely to have some diagnostic cancer technologies.•Hospitals in areas of higher racial unevenness were more likely to have some diagnostic cancer technologies.•American Hospital Association is a novel source of business data that can be used in public health research. |
doi_str_mv | 10.1016/j.puhe.2020.02.004 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2384212130</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0033350620300354</els_id><sourcerecordid>2440684947</sourcerecordid><originalsourceid>FETCH-LOGICAL-c384t-d4bfffd90566094ed69501e028508d35afc8afc4bd48c9c44b93ad7cb043c40f3</originalsourceid><addsrcrecordid>eNp9kU2r1DAUhoMo3vHqH3AhATduWk8-mmnBjQx-wQU3ug5pcjqToZPUJBXvvzdlri5cuAgJ5HnfhPMQ8pJBy4Cpt-d2WU_YcuDQAm8B5COyY3Kvmk4x9ZjsAIRoRAfqhjzL-QwAfC-6p-RGcM6EULAj6WCCxdQknE1BR503xxBz8Zaa4GhJaMoFQ6HWLGb0sy8eM40TPcW8-GLmTH2g5YTUxlDwV9nukrHezDRh9q5mt3PGY8KjKT6G5-TJVHP44mG_Jd8_fvh2-Nzcff305fD-rrGil6VxcpymyQ3QKQWDRKeGDhgC7zvonejMZPu65Ohkbwcr5TgI4_Z2BCmshEnckjfX3iXFHyvmoi8-W5xnEzCuWfP6DGd1EFDR1_-g57imUH-nuZSgejnIfaX4lbIp5pxw0kvyF5PuNQO9GdFnvRnRmxENXFcjNfTqoXodL-j-Rv4oqMC7K4B1Fj89Jp2txyrF-YS2aBf9__p_A9pCnjA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2440684947</pqid></control><display><type>article</type><title>Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation</title><source>Elsevier ScienceDirect Journals Complete</source><source>Applied Social Sciences Index & Abstracts (ASSIA)</source><creator>Menon, N.M. ; Leslie, T.F. ; Frankenfeld, C.L.</creator><creatorcontrib>Menon, N.M. ; Leslie, T.F. ; Frankenfeld, C.L.</creatorcontrib><description>To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation.
Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment.
American Hospital Association data were merged with American Community Survey data, and hospital was the unit of analysis. Isolation index and Atkinson's index were calculated for racial residential segregation for the census tract in which the hospital is located based on the composite census block groups. Logistic regression was used to model presence of cancer technologies as a function of percent below poverty (scaled 1–10), number of neighboring hospitals, and rural status.
Segregation measured by isolation index was associated with the availability of some technologies, independent of percentage below 125% poverty line, number of neighboring hospitals, and rural status. Diagnostic cancer technologies, such as CT scan (odds ratio [OR] = 0.928, 95% confidence interval [CI]: 0.894, 0.964), ultrasound (OR = 0.961, 95% CI: 0.927, 0.997), mammography (OR = 0.943, 95% CI: 0.914, 0.974), optical colonoscopy (OR = 0.932, 95% CI: 0.904, 0.961), and full-field digital mammography (OR = 0.948, 95% CI: 0.920, 0.977) and therapeutic cancer technology such as chemo therapy (OR = 0.963, 95% CI: 0.934, 0.992) appear to be less available in neighborhoods with higher isolation index. However, when segregation is measured by Atkinson's index, CT scan (OR = 1.064, 95% CI: 1.010, 1.121), ultrasound (OR = 1.087, 95% CI: 1.035, 1.141), mammography (OR = 1.094, 95% CI: 1.049, 1.141), and optical colonoscopy (OR = 1.053, 95% CI: 1.012, 1.095) are more available in neighborhoods with higher Atkinson's index.
These results suggest that cancer diagnostic capabilities in segregated areas are in the pathway between residential segregation and cancer treatment process, and future studies should evaluate individual-level associations.
•Hospitals in areas with higher racial isolation were less likely to have some diagnostic cancer technologies.•Hospitals in areas of higher racial unevenness were more likely to have some diagnostic cancer technologies.•American Hospital Association is a novel source of business data that can be used in public health research.</description><identifier>ISSN: 0033-3506</identifier><identifier>EISSN: 1476-5616</identifier><identifier>DOI: 10.1016/j.puhe.2020.02.004</identifier><identifier>PMID: 32213360</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Availability ; Cancer ; Census ; Censuses ; Colon ; Colonoscopy ; Computed tomography ; Confidence intervals ; Diagnosis ; Diagnostic systems ; Evaluation ; Hospitals ; Individual differences ; Mammography ; Medical diagnosis ; Medical imaging ; Neighborhoods ; Poverty ; Racial disparity ; Regression analysis ; Regression models ; Residential segregation ; Rural communities ; Segregation ; Statistical analysis ; Technology ; Ultrasonic imaging ; Ultrasound</subject><ispartof>Public health (London), 2020-05, Vol.182, p.95-101</ispartof><rights>2020 The Royal Society for Public Health</rights><rights>Copyright © 2020 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.</rights><rights>Copyright Elsevier Science Ltd. May 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-d4bfffd90566094ed69501e028508d35afc8afc4bd48c9c44b93ad7cb043c40f3</citedby><cites>FETCH-LOGICAL-c384t-d4bfffd90566094ed69501e028508d35afc8afc4bd48c9c44b93ad7cb043c40f3</cites><orcidid>0000-0002-4928-3705 ; 0000-0002-2318-0791</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.puhe.2020.02.004$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,30999,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32213360$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Menon, N.M.</creatorcontrib><creatorcontrib>Leslie, T.F.</creatorcontrib><creatorcontrib>Frankenfeld, C.L.</creatorcontrib><title>Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation</title><title>Public health (London)</title><addtitle>Public Health</addtitle><description>To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation.
Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment.
American Hospital Association data were merged with American Community Survey data, and hospital was the unit of analysis. Isolation index and Atkinson's index were calculated for racial residential segregation for the census tract in which the hospital is located based on the composite census block groups. Logistic regression was used to model presence of cancer technologies as a function of percent below poverty (scaled 1–10), number of neighboring hospitals, and rural status.
Segregation measured by isolation index was associated with the availability of some technologies, independent of percentage below 125% poverty line, number of neighboring hospitals, and rural status. Diagnostic cancer technologies, such as CT scan (odds ratio [OR] = 0.928, 95% confidence interval [CI]: 0.894, 0.964), ultrasound (OR = 0.961, 95% CI: 0.927, 0.997), mammography (OR = 0.943, 95% CI: 0.914, 0.974), optical colonoscopy (OR = 0.932, 95% CI: 0.904, 0.961), and full-field digital mammography (OR = 0.948, 95% CI: 0.920, 0.977) and therapeutic cancer technology such as chemo therapy (OR = 0.963, 95% CI: 0.934, 0.992) appear to be less available in neighborhoods with higher isolation index. However, when segregation is measured by Atkinson's index, CT scan (OR = 1.064, 95% CI: 1.010, 1.121), ultrasound (OR = 1.087, 95% CI: 1.035, 1.141), mammography (OR = 1.094, 95% CI: 1.049, 1.141), and optical colonoscopy (OR = 1.053, 95% CI: 1.012, 1.095) are more available in neighborhoods with higher Atkinson's index.
These results suggest that cancer diagnostic capabilities in segregated areas are in the pathway between residential segregation and cancer treatment process, and future studies should evaluate individual-level associations.
•Hospitals in areas with higher racial isolation were less likely to have some diagnostic cancer technologies.•Hospitals in areas of higher racial unevenness were more likely to have some diagnostic cancer technologies.•American Hospital Association is a novel source of business data that can be used in public health research.</description><subject>Availability</subject><subject>Cancer</subject><subject>Census</subject><subject>Censuses</subject><subject>Colon</subject><subject>Colonoscopy</subject><subject>Computed tomography</subject><subject>Confidence intervals</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Evaluation</subject><subject>Hospitals</subject><subject>Individual differences</subject><subject>Mammography</subject><subject>Medical diagnosis</subject><subject>Medical imaging</subject><subject>Neighborhoods</subject><subject>Poverty</subject><subject>Racial disparity</subject><subject>Regression analysis</subject><subject>Regression models</subject><subject>Residential segregation</subject><subject>Rural communities</subject><subject>Segregation</subject><subject>Statistical analysis</subject><subject>Technology</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><issn>0033-3506</issn><issn>1476-5616</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kU2r1DAUhoMo3vHqH3AhATduWk8-mmnBjQx-wQU3ug5pcjqToZPUJBXvvzdlri5cuAgJ5HnfhPMQ8pJBy4Cpt-d2WU_YcuDQAm8B5COyY3Kvmk4x9ZjsAIRoRAfqhjzL-QwAfC-6p-RGcM6EULAj6WCCxdQknE1BR503xxBz8Zaa4GhJaMoFQ6HWLGb0sy8eM40TPcW8-GLmTH2g5YTUxlDwV9nukrHezDRh9q5mt3PGY8KjKT6G5-TJVHP44mG_Jd8_fvh2-Nzcff305fD-rrGil6VxcpymyQ3QKQWDRKeGDhgC7zvonejMZPu65Ohkbwcr5TgI4_Z2BCmshEnckjfX3iXFHyvmoi8-W5xnEzCuWfP6DGd1EFDR1_-g57imUH-nuZSgejnIfaX4lbIp5pxw0kvyF5PuNQO9GdFnvRnRmxENXFcjNfTqoXodL-j-Rv4oqMC7K4B1Fj89Jp2txyrF-YS2aBf9__p_A9pCnjA</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Menon, N.M.</creator><creator>Leslie, T.F.</creator><creator>Frankenfeld, C.L.</creator><general>Elsevier Ltd</general><general>Elsevier Science Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7QL</scope><scope>7T2</scope><scope>7U9</scope><scope>ASE</scope><scope>C1K</scope><scope>FPQ</scope><scope>H94</scope><scope>K6X</scope><scope>M7N</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4928-3705</orcidid><orcidid>https://orcid.org/0000-0002-2318-0791</orcidid></search><sort><creationdate>202005</creationdate><title>Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation</title><author>Menon, N.M. ; Leslie, T.F. ; Frankenfeld, C.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-d4bfffd90566094ed69501e028508d35afc8afc4bd48c9c44b93ad7cb043c40f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Availability</topic><topic>Cancer</topic><topic>Census</topic><topic>Censuses</topic><topic>Colon</topic><topic>Colonoscopy</topic><topic>Computed tomography</topic><topic>Confidence intervals</topic><topic>Diagnosis</topic><topic>Diagnostic systems</topic><topic>Evaluation</topic><topic>Hospitals</topic><topic>Individual differences</topic><topic>Mammography</topic><topic>Medical diagnosis</topic><topic>Medical imaging</topic><topic>Neighborhoods</topic><topic>Poverty</topic><topic>Racial disparity</topic><topic>Regression analysis</topic><topic>Regression models</topic><topic>Residential segregation</topic><topic>Rural communities</topic><topic>Segregation</topic><topic>Statistical analysis</topic><topic>Technology</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Menon, N.M.</creatorcontrib><creatorcontrib>Leslie, T.F.</creatorcontrib><creatorcontrib>Frankenfeld, C.L.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Virology and AIDS Abstracts</collection><collection>British Nursing Index</collection><collection>Environmental Sciences and Pollution Management</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>British Nursing Index</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Public health (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Menon, N.M.</au><au>Leslie, T.F.</au><au>Frankenfeld, C.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation</atitle><jtitle>Public health (London)</jtitle><addtitle>Public Health</addtitle><date>2020-05</date><risdate>2020</risdate><volume>182</volume><spage>95</spage><epage>101</epage><pages>95-101</pages><issn>0033-3506</issn><eissn>1476-5616</eissn><abstract>To evaluate distribution of hospital-level cancer diagnosis and treatment technologies along dimensions of racial residential segregation.
Cross-sectional analysis of residential segregation and availability of technologies associated with cancer diagnosis and treatment.
American Hospital Association data were merged with American Community Survey data, and hospital was the unit of analysis. Isolation index and Atkinson's index were calculated for racial residential segregation for the census tract in which the hospital is located based on the composite census block groups. Logistic regression was used to model presence of cancer technologies as a function of percent below poverty (scaled 1–10), number of neighboring hospitals, and rural status.
Segregation measured by isolation index was associated with the availability of some technologies, independent of percentage below 125% poverty line, number of neighboring hospitals, and rural status. Diagnostic cancer technologies, such as CT scan (odds ratio [OR] = 0.928, 95% confidence interval [CI]: 0.894, 0.964), ultrasound (OR = 0.961, 95% CI: 0.927, 0.997), mammography (OR = 0.943, 95% CI: 0.914, 0.974), optical colonoscopy (OR = 0.932, 95% CI: 0.904, 0.961), and full-field digital mammography (OR = 0.948, 95% CI: 0.920, 0.977) and therapeutic cancer technology such as chemo therapy (OR = 0.963, 95% CI: 0.934, 0.992) appear to be less available in neighborhoods with higher isolation index. However, when segregation is measured by Atkinson's index, CT scan (OR = 1.064, 95% CI: 1.010, 1.121), ultrasound (OR = 1.087, 95% CI: 1.035, 1.141), mammography (OR = 1.094, 95% CI: 1.049, 1.141), and optical colonoscopy (OR = 1.053, 95% CI: 1.012, 1.095) are more available in neighborhoods with higher Atkinson's index.
These results suggest that cancer diagnostic capabilities in segregated areas are in the pathway between residential segregation and cancer treatment process, and future studies should evaluate individual-level associations.
•Hospitals in areas with higher racial isolation were less likely to have some diagnostic cancer technologies.•Hospitals in areas of higher racial unevenness were more likely to have some diagnostic cancer technologies.•American Hospital Association is a novel source of business data that can be used in public health research.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>32213360</pmid><doi>10.1016/j.puhe.2020.02.004</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0002-4928-3705</orcidid><orcidid>https://orcid.org/0000-0002-2318-0791</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0033-3506 |
ispartof | Public health (London), 2020-05, Vol.182, p.95-101 |
issn | 0033-3506 1476-5616 |
language | eng |
recordid | cdi_proquest_miscellaneous_2384212130 |
source | Elsevier ScienceDirect Journals Complete; Applied Social Sciences Index & Abstracts (ASSIA) |
subjects | Availability Cancer Census Censuses Colon Colonoscopy Computed tomography Confidence intervals Diagnosis Diagnostic systems Evaluation Hospitals Individual differences Mammography Medical diagnosis Medical imaging Neighborhoods Poverty Racial disparity Regression analysis Regression models Residential segregation Rural communities Segregation Statistical analysis Technology Ultrasonic imaging Ultrasound |
title | Cancer-related diagnostic and treatment capabilities of hospitals in the context of racial residential segregation |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T21%3A29%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cancer-related%20diagnostic%20and%20treatment%20capabilities%20of%20hospitals%20in%20the%20context%20of%20racial%20residential%20segregation&rft.jtitle=Public%20health%20(London)&rft.au=Menon,%20N.M.&rft.date=2020-05&rft.volume=182&rft.spage=95&rft.epage=101&rft.pages=95-101&rft.issn=0033-3506&rft.eissn=1476-5616&rft_id=info:doi/10.1016/j.puhe.2020.02.004&rft_dat=%3Cproquest_cross%3E2440684947%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2440684947&rft_id=info:pmid/32213360&rft_els_id=S0033350620300354&rfr_iscdi=true |