Literature DB >> 23765207

Distance traveled for treatment of cervical cancer: who travels the farthest, and does it impact outcome?

Camille C Gunderson1, Elizabeth K Nugent, D Scott McMeekin, Kathleen N Moore.   

Abstract

OBJECTIVE: To evaluate the impact of distance from residence to treatment center on disease characteristics and recurrence of cervical cancer.
MATERIALS AND METHODS: A single-institution retrospective chart review of patients treated for cervical cancer during 2006-2011 was performed. Demographic, socioeconomic, and clinicopathologic characteristics were recorded. Distance traveled from home to treatment facility was calculated and categorized. Recurrence and follow-up data were extracted; progression-free survival and overall survival were calculated. SAS version 9.2 was used for statistical analysis.
RESULTS: Two hundred nineteen patients met the study criteria; 75% were Caucasian. Forty-nine percent used tobacco. Twenty-five percent had stage III/IV disease. Insurance type was 46% private, 25% Medicaid, 20% Medicare, and 9% uninsured. Distance between residence and hospital was less than 15 miles (29%), 15 to 30 miles (21%), 30 to 50 miles (17%), and more than 50 miles (33%). Median follow-up period was 23 months (range, 1-65). Caucasians were more likely to travel more than 30 miles to a treatment center (P = 0.018) Non-Caucasians were less likely to have private insurance (P = 0.0005) and more likely to recur (P = 0.0045). Recurrence was highest (50%) in African Americans. Travel of more than 30 miles was not associated with age, stage, histology, tobacco abuse, employment, clinical trial enrollment, primary chemoradiation for stage IB disease, or delayed radiation. Travel of more than 30 miles was associated with government insurance (P = 0.029) and a trend toward unemployment (P = 0.059). Four-year progression-free survival (53% vs 52%; P = 0.992) and overall survival (57% vs 62%; P = 0.73) were similar between less than or more than 30-mile travel.
CONCLUSIONS: Fifty percent of the patients reside more than 30 miles from treating hospital. Despite farther travel, stage of disease, clinical trial enrollment, treatment type, radiation completion, and recurrence rates were similar among patients with cervical cancer. Non-Caucasians are less likely to travel more than 30 miles.

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Year:  2013        PMID: 23765207     DOI: 10.1097/IGC.0b013e3182989464

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


  14 in total

1.  The Need for Societal Investment to Improve Cervical Cancer Outcomes in Nigeria: A commentary.

Authors:  Jonah Musa
Journal:  Afr J Reprod Health       Date:  2017-12

2.  The Impact of Racial, Geographic, and Socioeconomic Risk Factors on the Development of Advanced-Stage Cervical Cancer.

Authors:  T Clark Powell; Sarah E Dilley; Sejong Bae; J Michael Straughn; Kenneth H Kim; Charles A Leath
Journal:  J Low Genit Tract Dis       Date:  2018-10       Impact factor: 1.925

3.  The impact of traveling distance and hospital volume on post-surgical outcomes for patients with glioblastoma.

Authors:  Christian Lopez Ramos; Michael G Brandel; Jeffrey A Steinberg; Arvin R Wali; Robert C Rennert; David R Santiago-Dieppa; Reith R Sarkar; J Scott Pannell; James D Murphy; Alexander A Khalessi
Journal:  J Neurooncol       Date:  2018-11-20       Impact factor: 4.130

4.  Health Service Accessibility and Risk in Cervical Cancer Prevention: Comparing Rural Versus Nonrural Residence in New Mexico.

Authors:  Yolanda J McDonald; Daniel W Goldberg; Isabel C Scarinci; Philip E Castle; Jack Cuzick; Michael Robertson; Cosette M Wheeler
Journal:  J Rural Health       Date:  2016-08-24       Impact factor: 4.333

5.  Distance from a Comprehensive Cancer Center: A proxy for poor cervical cancer outcomes?

Authors:  David A Barrington; Sarah E Dilley; Emily E Landers; Eric D Thomas; Jonathon D Boone; J Michael Straughn; Gerald McGwin; Charles A Leath
Journal:  Gynecol Oncol       Date:  2016-10-06       Impact factor: 5.482

6.  Impact of travel burden on clinical outcomes in lung cancer.

Authors:  Dragomir Svetozarov Stoyanov; Nikolay Vladimirov Conev; Ivan Shterev Donev; Ivan Dimitrov Tonev; Teodorika Vitalinova Panayotova; Eleonora Georgieva Dimitrova-Gospodinova
Journal:  Support Care Cancer       Date:  2022-03-15       Impact factor: 3.603

7.  Cervical cancer outcome by type of health care facilities: National Cancer Database, 2004-2015.

Authors:  HyounKyoung G Park; Zhixin E Wang; Chenguang Wang; Warner K Huh; Sejong Bae
Journal:  Cancer Health Disparities       Date:  2019-04-23

8.  Is the closest facility the one actually used? An assessment of travel time estimation based on mammography facilities.

Authors:  Jennifer Alford-Teaster; Jane M Lange; Rebecca A Hubbard; Christoph I Lee; Jennifer S Haas; Xun Shi; Heather A Carlos; Louise Henderson; Deirdre Hill; Anna N A Tosteson; Tracy Onega
Journal:  Int J Health Geogr       Date:  2016-02-18       Impact factor: 3.918

Review 9.  Are differences in travel time or distance to healthcare for adults in global north countries associated with an impact on health outcomes? A systematic review.

Authors:  Charlotte Kelly; Claire Hulme; Tracey Farragher; Graham Clarke
Journal:  BMJ Open       Date:  2016-11-24       Impact factor: 2.692

Review 10.  Effect of cervical cancer education and provider recommendation for screening on screening rates: A systematic review and meta-analysis.

Authors:  Jonah Musa; Chad J Achenbach; Linda C O'Dwyer; Charlesnika T Evans; Megan McHugh; Lifang Hou; Melissa A Simon; Robert L Murphy; Neil Jordan
Journal:  PLoS One       Date:  2017-09-05       Impact factor: 3.240

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