Impact of travel burden on clinical outcomes in lung cancer

Purpose Our study explores the influence of travel burden (measured as travel distance and travel time) on clinical outcomes in lung cancer patients. Methods A retrospective analysis of a single Bulgarian center was performed. A total of 9240 lung cancer patients were included in the study. Travel d...

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Veröffentlicht in:Supportive care in cancer 2022-06, Vol.30 (6), p.5381-5387
Hauptverfasser: Stoyanov, Dragomir Svetozarov, Conev, Nikolay Vladimirov, Donev, Ivan Shterev, Tonev, Ivan Dimitrov, Panayotova, Teodorika Vitalinova, Dimitrova-Gospodinova, Eleonora Georgieva
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container_issue 6
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container_title Supportive care in cancer
container_volume 30
creator Stoyanov, Dragomir Svetozarov
Conev, Nikolay Vladimirov
Donev, Ivan Shterev
Tonev, Ivan Dimitrov
Panayotova, Teodorika Vitalinova
Dimitrova-Gospodinova, Eleonora Georgieva
description Purpose Our study explores the influence of travel burden (measured as travel distance and travel time) on clinical outcomes in lung cancer patients. Methods A retrospective analysis of a single Bulgarian center was performed. A total of 9240 lung cancer patients were included in the study. Travel distance and travel time between patients’ city of residence and the treating facility were calculated with an online tool to determine the shortest route for travel using the existing road network. The probability of survival was estimated using the Kaplan–Meier method, and differences in survival in each subgroup were evaluated with a log-rank test. Results About one third of all included patients were living in the same city as the treating facility ( n  = 2746, 29.7%). Overall survival in our patient population was significantly lower with increasing travel distance ( p  
doi_str_mv 10.1007/s00520-022-06978-8
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Methods A retrospective analysis of a single Bulgarian center was performed. A total of 9240 lung cancer patients were included in the study. Travel distance and travel time between patients’ city of residence and the treating facility were calculated with an online tool to determine the shortest route for travel using the existing road network. The probability of survival was estimated using the Kaplan–Meier method, and differences in survival in each subgroup were evaluated with a log-rank test. Results About one third of all included patients were living in the same city as the treating facility ( n  = 2746, 29.7%). Overall survival in our patient population was significantly lower with increasing travel distance ( p  &lt; 0.001, Mantel-Cox log rank) and travel time ( p  &lt; 0.001, Mantel-Cox log rank). The 1-year OS rate according to travel distance was 27.1% in the same city group, 22.4% in &lt; 50-km group, and 20.5% in ≥ 50-km group (p &lt; 0.001). The corresponding values for the 5-year OS rate were 2.9%, 2.6%, and 1.4% ( p  &lt; 0.001). Conclusion In this retrospective study, we discovered significant differences in the overall survival of patients with lung cancer depending on travel distance and travel time to the treating oncological facility. Despite having similar clinical and pathological characteristics (age, sex, stage at initial diagnosis, histologic subtype), the median overall survival was significantly lower in those subgroups of patients with a higher travel burden.</description><identifier>ISSN: 0941-4355</identifier><identifier>EISSN: 1433-7339</identifier><identifier>DOI: 10.1007/s00520-022-06978-8</identifier><identifier>PMID: 35288785</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Cancer ; Cancer patients ; Care and treatment ; Clinical outcomes ; Health care access ; Health services ; Health Services Accessibility ; Humans ; Life expectancy ; Lung cancer ; Lung Neoplasms - therapy ; Medical Oncology ; Medicine ; Medicine &amp; Public Health ; Nursing ; Nursing Research ; Oncology ; Oncology, Experimental ; Original Article ; Pain Medicine ; Patient outcomes ; Rehabilitation Medicine ; Retrospective Studies ; Travel</subject><ispartof>Supportive care in cancer, 2022-06, Vol.30 (6), p.5381-5387</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022</rights><rights>2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>COPYRIGHT 2022 Springer</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-124599b0ee1851f09fea84bbc205bac21fd4d57bff901dc60a5f388df4f42d973</citedby><cites>FETCH-LOGICAL-c442t-124599b0ee1851f09fea84bbc205bac21fd4d57bff901dc60a5f388df4f42d973</cites><orcidid>0000-0003-2064-9475</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00520-022-06978-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00520-022-06978-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35288785$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stoyanov, Dragomir Svetozarov</creatorcontrib><creatorcontrib>Conev, Nikolay Vladimirov</creatorcontrib><creatorcontrib>Donev, Ivan Shterev</creatorcontrib><creatorcontrib>Tonev, Ivan Dimitrov</creatorcontrib><creatorcontrib>Panayotova, Teodorika Vitalinova</creatorcontrib><creatorcontrib>Dimitrova-Gospodinova, Eleonora Georgieva</creatorcontrib><title>Impact of travel burden on clinical outcomes in lung cancer</title><title>Supportive care in cancer</title><addtitle>Support Care Cancer</addtitle><addtitle>Support Care Cancer</addtitle><description>Purpose Our study explores the influence of travel burden (measured as travel distance and travel time) on clinical outcomes in lung cancer patients. Methods A retrospective analysis of a single Bulgarian center was performed. A total of 9240 lung cancer patients were included in the study. Travel distance and travel time between patients’ city of residence and the treating facility were calculated with an online tool to determine the shortest route for travel using the existing road network. The probability of survival was estimated using the Kaplan–Meier method, and differences in survival in each subgroup were evaluated with a log-rank test. Results About one third of all included patients were living in the same city as the treating facility ( n  = 2746, 29.7%). Overall survival in our patient population was significantly lower with increasing travel distance ( p  &lt; 0.001, Mantel-Cox log rank) and travel time ( p  &lt; 0.001, Mantel-Cox log rank). The 1-year OS rate according to travel distance was 27.1% in the same city group, 22.4% in &lt; 50-km group, and 20.5% in ≥ 50-km group (p &lt; 0.001). The corresponding values for the 5-year OS rate were 2.9%, 2.6%, and 1.4% ( p  &lt; 0.001). Conclusion In this retrospective study, we discovered significant differences in the overall survival of patients with lung cancer depending on travel distance and travel time to the treating oncological facility. 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Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Supportive care in cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stoyanov, Dragomir Svetozarov</au><au>Conev, Nikolay Vladimirov</au><au>Donev, Ivan Shterev</au><au>Tonev, Ivan Dimitrov</au><au>Panayotova, Teodorika Vitalinova</au><au>Dimitrova-Gospodinova, Eleonora Georgieva</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of travel burden on clinical outcomes in lung cancer</atitle><jtitle>Supportive care in cancer</jtitle><stitle>Support Care Cancer</stitle><addtitle>Support Care Cancer</addtitle><date>2022-06-01</date><risdate>2022</risdate><volume>30</volume><issue>6</issue><spage>5381</spage><epage>5387</epage><pages>5381-5387</pages><issn>0941-4355</issn><eissn>1433-7339</eissn><abstract>Purpose Our study explores the influence of travel burden (measured as travel distance and travel time) on clinical outcomes in lung cancer patients. Methods A retrospective analysis of a single Bulgarian center was performed. A total of 9240 lung cancer patients were included in the study. Travel distance and travel time between patients’ city of residence and the treating facility were calculated with an online tool to determine the shortest route for travel using the existing road network. The probability of survival was estimated using the Kaplan–Meier method, and differences in survival in each subgroup were evaluated with a log-rank test. Results About one third of all included patients were living in the same city as the treating facility ( n  = 2746, 29.7%). Overall survival in our patient population was significantly lower with increasing travel distance ( p  &lt; 0.001, Mantel-Cox log rank) and travel time ( p  &lt; 0.001, Mantel-Cox log rank). The 1-year OS rate according to travel distance was 27.1% in the same city group, 22.4% in &lt; 50-km group, and 20.5% in ≥ 50-km group (p &lt; 0.001). The corresponding values for the 5-year OS rate were 2.9%, 2.6%, and 1.4% ( p  &lt; 0.001). Conclusion In this retrospective study, we discovered significant differences in the overall survival of patients with lung cancer depending on travel distance and travel time to the treating oncological facility. Despite having similar clinical and pathological characteristics (age, sex, stage at initial diagnosis, histologic subtype), the median overall survival was significantly lower in those subgroups of patients with a higher travel burden.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>35288785</pmid><doi>10.1007/s00520-022-06978-8</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-2064-9475</orcidid></addata></record>
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subjects Cancer
Cancer patients
Care and treatment
Clinical outcomes
Health care access
Health services
Health Services Accessibility
Humans
Life expectancy
Lung cancer
Lung Neoplasms - therapy
Medical Oncology
Medicine
Medicine & Public Health
Nursing
Nursing Research
Oncology
Oncology, Experimental
Original Article
Pain Medicine
Patient outcomes
Rehabilitation Medicine
Retrospective Studies
Travel
title Impact of travel burden on clinical outcomes in lung cancer
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