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Public health insurance and cancer‐specific mortality risk among patients with breast cancer: A prospective cohort study in China

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dc.contributor Háskóli Íslands
dc.contributor University of Iceland
dc.contributor.author Xie, Yuxin
dc.contributor.author Valdimarsdottir, Unnur
dc.contributor.author Wang, Chengshi
dc.contributor.author Zhong, XiaoRong
dc.contributor.author Gou, Qiheng
dc.contributor.author Zheng, Hong
dc.contributor.author Deng, Ling
dc.contributor.author He, Ping
dc.contributor.author Hu, Kejia
dc.contributor.author Fall, Katja
dc.contributor.author Fang, Fang
dc.contributor.author Tamimi, Rulla M.
dc.contributor.author Luo, Ting
dc.contributor.author Lu, Donghao
dc.date.accessioned 2020-11-30T12:48:45Z
dc.date.available 2020-11-30T12:48:45Z
dc.date.issued 2020-07-14
dc.identifier.citation Xie, Y., Valdimarsdóttir, U.A., Wang, C., Zhong, X., Gou, Q., Zheng, H., Deng, L., He, P., Hu, K., Fall, K., Fang, F., Tamimi, R.M., Luo, T., Lu, D., 2021. Public health insurance and cancer‐specific mortality risk among patients with breast cancer: A prospective cohort study in China. International Journal of Cancer. doi:10.1002/ijc.33183
dc.identifier.issn 0020-7136
dc.identifier.issn 1097-0215 (eISSN)
dc.identifier.uri https://hdl.handle.net/20.500.11815/2256
dc.description We thank all staff members working on the Breast Cancer Information Management System (BCIMS) for their contributions to data collection and management. We also thank Dr Bo Fu, Mr Yan Li and Mr Pei Liu at the University of Electronic Science and Technology of China for data cleaning and zip code mapping. Our study was supported by the Key Research and Development Project of Sichuan Province of China (grant number: 2017SZ00005) and Swedish Research Council (grant number: 2018‐00648).
dc.description.abstract Little is known about how health insurance policies, particularly in developing countries, influence breast cancer prognosis. Here, we examined the association between individual health insurance and breast cancer-specific mortality in China. We included 7436 women diagnosed with invasive breast cancer between 2009 and 2016, at West China Hospital, Sichuan University. The health insurance plan of patient was classified as either urban or rural schemes and was also categorized as reimbursement rate (ie, the covered/total charge) below or above the median. Breast cancer-specific mortality was the primary outcome. Using Cox proportional hazards models, we calculated hazard ratios (HRs) for cancer-specific mortality, contrasting rates among patients with a rural insurance scheme or low reimbursement rate to that of those with an urban insurance scheme or high reimbursement rate, respectively. During a median follow-up of 3.1 years, we identified 326 deaths due to breast cancer. Compared to patients covered by urban insurance schemes, patients covered by rural insurance schemes had a 29% increased cancer-specific mortality (95% CI 0%-65%) after adjusting for demographics, tumor characteristics and treatment modes. Reimbursement rate below the median was associated with a 42% increased rate of cancer-specific mortality (95% CI 11%-82%). Every 10% increase in the reimbursement rate is associated with a 7% (95% CI 2%-12%) reduction in cancer-specific mortality risk, particularly in patients covered by rural insurance schemes (26%, 95% CI 9%-39%). Our findings suggest that underinsured patients face a higher risk of breast cancer-specific mortality in developing countries.
dc.description.sponsorship Vetenskapsrådet
dc.format.extent 28-37
dc.language.iso en
dc.publisher Wiley
dc.relation.ispartofseries International Journal of Cancer;148(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Cancer Research
dc.subject Oncology
dc.subject Breast cancer
dc.subject Cohort study
dc.subject Health insurance
dc.subject Prognosis
dc.subject Survival
dc.subject Brjóstakrabbamein
dc.subject Krabbameinsrannsóknir
dc.subject Batahorfur
dc.title Public health insurance and cancer‐specific mortality risk among patients with breast cancer: A prospective cohort study in China
dc.type info:eu-repo/semantics/article
dcterms.license This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium,provided the original work is properly cited.
dc.description.version Peer Reviewed
dc.identifier.journal International Journal of Cancer
dc.identifier.doi 10.1002/ijc.33183
dc.contributor.department Læknadeild (HÍ)
dc.contributor.department Faculty of Medicine (UI)
dc.contributor.school Heilbrigðisvísindasvið (HÍ)
dc.contributor.school School of Health Sciences (UI)


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