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Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study
INTRODUCTION: 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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985820/ https://www.ncbi.nlm.nih.gov/pubmed/27491672 http://dx.doi.org/10.1136/bmjopen-2016-012028 |
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author | Yao, Nengliang Wang, Jialin Cai, Yuanchu Yuan, Jing Wang, Haipeng Gong, Jiyong Anderson, Roger Sun, Xiaojie |
author_facet | Yao, Nengliang Wang, Jialin Cai, Yuanchu Yuan, Jing Wang, Haipeng Gong, Jiyong Anderson, Roger Sun, Xiaojie |
author_sort | Yao, Nengliang |
collection | PubMed |
description | INTRODUCTION: 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. METHODS AND ANALYSIS: 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. ETHICS AND DISSEMINATION: 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. |
format | Online Article Text |
id | pubmed-4985820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49858202016-08-19 Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study Yao, Nengliang Wang, Jialin Cai, Yuanchu Yuan, Jing Wang, Haipeng Gong, Jiyong Anderson, Roger Sun, Xiaojie BMJ Open Oncology INTRODUCTION: 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. METHODS AND ANALYSIS: 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. ETHICS AND DISSEMINATION: 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. BMJ Publishing Group 2016-08-04 /pmc/articles/PMC4985820/ /pubmed/27491672 http://dx.doi.org/10.1136/bmjopen-2016-012028 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Oncology Yao, Nengliang Wang, Jialin Cai, Yuanchu Yuan, Jing Wang, Haipeng Gong, Jiyong Anderson, Roger Sun, Xiaojie Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study |
title | Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study |
title_full | Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study |
title_fullStr | Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study |
title_full_unstemmed | Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study |
title_short | Patterns of cancer screening, incidence and treatment disparities in China: protocol for a population-based study |
title_sort | patterns of cancer screening, incidence and treatment disparities in china: protocol for a population-based study |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4985820/ https://www.ncbi.nlm.nih.gov/pubmed/27491672 http://dx.doi.org/10.1136/bmjopen-2016-012028 |
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