[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-339627-105":3,"detail-sidebar-cat-0-en-105":81,"doc-detail-339627-en":131},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","collecting-routine-and-timely-cancer-stage-at-diagnosis-by-implementing-a-cancer-staging-tiered-framework-the-western-australian-cancer-registry-experience","Collecting routine and timely cancer stage at diagnosis by implementing a cancer staging tiered framework - the Western Australian Cancer Registry experience","","Cancer stage at diagnosis data collection in population-based cancer registries (PBCRs) often lacks standardisation, limiting reuse across data sources and yielding incomplete, low-quality stage information. This study demonstrates a cancer staging tiered framework applied in the Western Australian Cancer Staging Project to create a standardised approach for collecting stage at diagnosis in PBCRs. The tiered model defines business rules for stage capture at three completeness levels, improving benchmarking and consistency.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/collecting-routine-and-timely-cancer-stage-at-diagnosis-by-implementing-a-cancer-staging-tiered-framework-the-western-australian-cancer-registry-experience/339627/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/collecting-routine-and-timely-cancer-stage-at-diagnosis-by-implementing-a-cancer-staging-tiered-framework-the-western-australian-cancer-registry-experience/339627.png","ImageObject",300,407,{"name":42,"@type":43},"Aria","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-25","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",11,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Why do PBCRs face challenges collecting cancer stage data at diagnosis?","Question",{"text":63,"@type":64},"Current processes often lack standardisation, which makes it difficult to use diverse data sources and results in incomplete, low-quality data.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What is the cancer staging tiered framework and how is it structured?",{"text":68,"@type":64},"It provides business rules for stage collection across three tiers: Tier 1 uses complete AJCC TNM data and critical staging information, Tier 2 relies on supplementary registry-derived assumptions from available data, and Tier 3 uses pathology reports only.",{"name":70,"@type":61,"acceptedAnswer":71},"How do the tiers affect the use of staging data for analysis and benchmarking?",{"text":72,"@type":64},"Tier 1 supports all purposes, including clinical and epidemiological uses. Tiers 2 and 3 are recommended for epidemiological analysis, and capturing stage at each tier depends on data availability, with the ability to shift to higher tiers as new sources are acquired.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},339627,1791017899,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,110,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":107,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":108,"slug":109},7,40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":112,"show_sort_weight":113,"slug":114},8,"Research & Report",30,"research-report",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":25,"category_name":129,"show_sort_weight":97,"slug":130},19,"General","general",{"code":4,"msg":82,"data":132},{"doc_id":79,"user_id":133,"nickname":42,"user_avatar":134,"doc_module":4,"category_id":107,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":140,"language":141,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":12,"update_tm":145,"read_time":146},2336464648322,"https://ap-avatar.wpscdn.com/avatar/2200025388227c56fec?_k=1778556882303663488","Smith et al. BMC Health Services Research (2024) 24:770  \n[https://doi.org/10.1186/s12913-024-11224-4](https://doi.org/10.1186/s12913-024-11224-4)  \nBMC Health Services Research  \n RESEARCH Open Access  \nCollecting routine and timely cancer stage   at diagnosis by implementing a cancer staging tiered framework: the Western Australian Cancer Registry experience  \nShantelle J. Smith 1,2* , Rachael Moorin 1,2,3 , Karen Taylor4 , Jade Newton 1,2 and Stephanie Smith1,5  \nAbstract  \nBackground Current processes collecting cancer stage data in population-based cancer registries (PBCRs) lack standardisation, resulting in difficulty utilising diverse data sources and incomplete, low-quality data. Implementing a cancer staging tiered framework aims to improve stage collection and facilitate inter-PBCR benchmarking. Objective Demonstrate the application of a cancer staging tiered framework in the Western Australian Cancer Staging Project to establish a standardised method for collecting cancer stage at diagnosis data in PBCRs.  \nMethods The tiered framework, developed in collaboration with a Project Advisory Group and applied to breast, colorectal, and melanoma cancers, provides business rules – procedures for stage collection. Tier 1 represents the highest staging level, involving complete American Joint Committee on Cancer (AJCC) tumour–node–metastasis (TNM) data collection and other critical staging information. Tier 2 (registry-derived stage) relies on supplementary data, including hospital admission data, to make assumptions based on data availability. Tier 3 (pathology stage) solely uses pathology reports.  \nFindings The tiered framework promotes flexible utilisation of staging data, recognising various levels of data completeness. Tier 1 is suitable for all purposes, including clinical and epidemiological applications. Tiers 2 and 3 are recommended for epidemiological analysis alone. Lower tiers provide valuable insights into disease patterns, risk factors, and overall disease burden for public health planning and policy decisions. Capture of staging at each tier depends on data availability, with potential shifts to higher tiers as new data sources are acquired.  \nConclusions The tiered framework offers a dynamic approach for PBCRs to record stage at diagnosis, promoting consistency in population-level staging data and enabling practical use for benchmarking across jurisdictions, public health planning, policy development, epidemiological analyses, and assessing cancer outcomes. Evolution with staging classifications and data variable changes will futureproof the tiered framework. Its adaptability fosters continuous refinement of data collection processes and encourages improvements in data quality.  \nKeywords Cancer staging tiered framework, Population-based cancer staging, Cancer registry, Cancer staging at diagnosis, Cancer staging methods, Population-based cancer registries  \n*Correspondence:  \nShantelle J. Smith  \n[shantelle.j.smith@curtin.edu.au](shantelle.j.smith@curtin.edu.au)  \nFull list of author information is available at the end of the article  \n© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit [http://creativecommons.org/licenses/by/4.0/](http://creativ","cbCaimELeDQbnwEz","https://ap.wps.com/l/cbCaimELeDQbnwEz","pdf",1691980,15,"English","# Abstract\n## Background\n## Objective\n## Methods\n## Findings\n## Conclusions\n# Introduction\n## Cancer stage at diagnosis and its use\n## Staging classification systems and AJCC TNM","[{\"question\":\"Why do PBCRs face challenges collecting cancer stage data at diagnosis?\",\"answer\":\"Current processes often lack standardisation, which makes it difficult to use diverse data sources and results in incomplete, low-quality data.\"},{\"question\":\"What is the cancer staging tiered framework and how is it structured?\",\"answer\":\"It provides business rules for stage collection across three tiers: Tier 1 uses complete AJCC TNM data and critical staging information, Tier 2 relies on supplementary registry-derived assumptions from available data, and Tier 3 uses pathology reports only.\"},{\"question\":\"How do the tiers affect the use of staging data for analysis and benchmarking?\",\"answer\":\"Tier 1 supports all purposes, including clinical and epidemiological uses. Tiers 2 and 3 are recommended for epidemiological analysis, and capturing stage at each tier depends on data availability, with the ability to shift to higher tiers as new sources are acquired.\"}]","Collecting routine and timely cancer stage at diagnosis by implementing a cancer staging tiered framework - the Western Australian Cancer Registry experience | PDF",1790031301,38]