title: Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study.
abstract: Cancer has become the leading cause of death in China. Several knowledge gaps exist with respect to the patterns of cancer care and disparities in China. Chinese healthcare researchers do not have access to cancer research data of high quality. Only cancer incidence and mortality rates have been analysed in China while the patterns of cancer screening and treatment and disparities have not been rigorously examined. Potential disparities in cancer care by socioeconomic status have not been analysed in the previous literature. Population-based estimates of cancer care costs remain unexamined in China. This project will depict the pattern of cancer screening, incidence and treatment in Shandong province and enhance our understanding of causes of disparities in cancer control.
  
  
  
  We will create the first linked database of cancer registry and health insurance claims in China. We obtained cancer registry data on breast, gastrointestinal and lung cancer incidence from 2011 to 2014 and their health insurance claims information from 6 cities/counties of 10.63 million population and validated it with hospital discharge data. A 1600 participant survey will be administered to collect additional information of patients' socioeconomic status, employment and cancer care costs. Frequency analysis, spatial data exploratory analysis, multivariate logistic regression with instrumental variable, generalised linear regression and subgroup analysis will be used to analyse the following: the receipt of cancer screening, stage at diagnosis, guideline-concordant treatment and cancer care costs. Patient characteristics, tumour features, hospital characteristics, patient comorbidities and county-level descriptors will be used as covariates in the multivariate analysis.
  
  
  
  The Institutional Review Board of the School of Public Health of Shandong University approved this study (20140201). Data compiled from this project will be made available to all Chinese healthcare researchers. Study results will be disseminated through peer-reviewed publications and presentations at national and international meetings.
authors: Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
authors: Nengliang
authors: N
authors: Yao
authors: Shandong Provincial Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China.
authors: Jialin
authors: J
authors: Wang
authors: Center for Health Management and Policy (Key Laboratory of Health Economics and Policy, National Health and Family Planning Commission), Shandong University, Jinan, China.
authors: Yuanchu
authors: Y
authors: Cai
authors: School of Public Health and Management, Binzhou Medical University, Yantai, China.
authors: Jing
authors: J
authors: Yuan
authors: Center for Health Management and Policy (Key Laboratory of Health Economics and Policy, National Health and Family Planning Commission), Shandong University, Jinan, China.
authors: Haipeng
authors: H
authors: Wang
authors: Shandong Provincial Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences, Jinan, China.
authors: Jiyong
authors: J
authors: Gong
authors: Department of Public Health Sciences, University of Virginia, Charlottesville, Virginia, USA.
authors: Roger
authors: R
authors: Anderson
authors: Center for Health Management and Policy (Key Laboratory of Health Economics and Policy, National Health and Family Planning Commission), Shandong University, Jinan, China.
authors: Xiaojie
authors: X
authors: Sun
mesh_terms: D002681:China / Q000453:epidemiology; D055088:Early Detection of Cancer / Q000379:methods / Q000639:trends*; D005260:Female; D054625:Healthcare Disparities; D006801:Humans; D015994:Incidence; D008297:Male; D008403:Mass Screening / Q000379:methods / Q000639:trends*; D009369:Neoplasms / Q000453:epidemiology*; D012107:Research Design; D012923:Social Class
keywords: China; cancer; disparity; population science; protocol