Contributions of prognostic factors to socioeconomic disparities in cancer survival: protocol for analysis of a cohort with linked data

被引:3
作者
Yu, Xue Qin [1 ,2 ]
Goldsbury, David [1 ]
Yap, Sarsha [1 ]
Yap, Mei Ling [1 ,2 ,3 ,4 ,5 ]
O'Connell, Dianne L. [1 ,2 ,6 ]
机构
[1] Canc Council NSW, Canc Res Div, Sydney, NSW, Australia
[2] Univ Sydney, Sydney Sch Publ Hlth, Sydney, NSW, Australia
[3] Univ New South Wales, Ingham Inst Appl Med Res, Sydney, NSW, Australia
[4] Western Sydney Univ, Liverpool Canc Therapy Ctr, Campbelltown, NSW, Australia
[5] Western Sydney Univ, Macarthur Canc Therapy Ctr, Campbelltown, NSW, Australia
[6] Univ Newcastle, Sch Med & Publ Hlth, Newcastle, NSW, Australia
关键词
socioeconomic position; disparity; inequality; survival; cancer outcomes; NEW-SOUTH-WALES; BREAST-CANCER; LUNG-CANCER; AREA-LEVEL; AUSTRALIA; IMPACT; INEQUALITIES; REMOTENESS; PATTERNS; TRENDS;
D O I
10.1136/bmjopen-2019-030248
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Introduction Socioeconomic disparities in cancer survival have been reported in many developed countries, including Australia. Although some international studies have investigated the determinants of these socioeconomic disparities, most previous Australian studies have been descriptive, as only limited relevant data are generally available. Here, we describe a protocol for a study to use data from a large-scale Australian cohort linked with several other health-related databases to investigate several groups of factors associated with socioeconomic disparities in cancer survival in New South Wales (NSW), Australia, and quantify their contributions to the survival disparities. Methods and analysis The Sax Institute's 45 and Up Study participants completed a baseline questionnaire during 2006-2009. Those who were subsequently diagnosed with cancer of the colon, rectum, lung or female breast will be included. This study sample will be identified by linkage with NSW Cancer Registry data for 2006-2013, and their vital status will be determined by linking with cause of death records up to 31 December 2015. The study cohort will be divided into four groups based on each of the individual education level and an area-based socioeconomic measure. The treatment received will be obtained through linking with hospital records and Medicare and pharmaceutical claims data. Cox proportional hazards models will be fitted sequentially to estimate the percentage contributions to overall socioeconomic survival disparities of patient factors, tumour and diagnosis factors, and treatment variables. Ethics and dissemination This research is covered by ethical approval from the NSW Population and Health Services Research Ethics Committee. Results of the study will be disseminated to different interest groups and organisations through scientific conferences, social media and peer-reviewed articles.
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页数:8
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