机构地区:[1]Institute of Medical Technology,Peking University Health Science Center,Beijing,China [2]National Institute of Health Data Science at Peking University,Beijing,China [3]School of Public Health,Cheeloo College of Medicine,Shandong University,Jinan,Shandong,China [4]National Institute of Health Data Science of China,Shandong University,Jinan,Shandong,China [5]Renal Division,Department of Medicine,Peking University First Hospital,Peking University Institute of Nephrology,Beijing,China [6]Research Units of Diagnosis and Treatment of Immune-mediated Kidney Diseases,Chinese Academy of Medical Sciences,Beijing,China [7]Advanced Institute of Information Technology,Peking University,Hangzhou,China
出 处:《Health Data Science》2024年第1期67-76,共10页健康数据科学(英文)
基 金:supported by grants from the National Natural Science Foundation of China(72125009 and 82003529);National Key Research and Development Program of China(2022YFF1203001);National Key R&D Program of the Ministry of Science and Technology of China(2019YFC2005000);Young Elite Scientists Sponsorship Program by CAST(2022QNRC001);Chinese Scientiffc and Technical Innovation Project 2030(2018AAA0102100);CAMS Innovation Fund for Medical Sciences(2019-I2M-5-046),PKU-Baidu Fund(2020BD032);Shandong Natural Science Foundation General Project(ZR202211080088).
摘 要:Background:Cancer is a major health problem worldwide.A growing number of cancer patients travel to hospitals outside their residential cities due to unbalanced medical resources.We aimed to evaluate the association between patterns of patient mobility and survival among patients with cancer.Methods:Data of patients hospitalized for cancer between January 2015 and December 2017 were collected from the regional data platform of an eastern coastal province of China.According to the cities of hospitalization and residency,3 mobility patterns including intra-city,local center,and national center pattern were deffned.Patients with intra-city pattern were sequentially matched to patients with the other 2 patterns on demographics,marital status,cancer type,comorbidity,and hospitalization frequency,using propensity score matching.We estimated 5-year survival and the associations between all-cause mortality and patient mobility.Results:Among 20,602 cancer patients,there were 17,035(82.7%)patients with intra-city pattern,2,974(14.4%)patients with local center pattern,and 593(2.9%)patients with national center pattern.Compared to patients with intra-city pattern,higher survival rates were observed in patients with local center pattern[5-year survival rate,69.3%versus 65.4%;hazard ratio(HR),0.85;95%conffdence interval(CI),0.77 to 0.95]and in patients with national center pattern(5-year survival rate,69.3%versus 64.5%;HR,0.80;95%CI,0.67 to 0.97).Conclusions:We found signiffcant survival disparities among different mobility patterns of patients with cancer.Improving the quality of cancer care is crucial,especially for cities with below-average healthcare resources.
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