[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-326867-105":59,"doc-detail-326867-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","productivity-losses-from-short-term-work-absence-due-to-neoplasms-in-poland","Productivity losses from short-term work absence due to neoplasms in Poland","","Productivity losses from neoplasm-related short-term work absence in Poland are quantified using the human capital method and social insurance data covering 2012–2022. Losses attributed to all neoplasms rise from €583 million in 2012 (0.143% of GDP) to €969 million in 2022 (0.164%). About 60% of losses are linked to cancers, with the remainder driven by non-malignant neoplasms. Benign neoplasms, breast, colorectum and prostate cancers generate the largest totals, while brain, lung and oesophageal cancers show the greatest losses per absence episode. Increasing losses are observed across most neoplasms over the 11-year period.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/productivity-losses-from-short-term-work-absence-due-to-neoplasms-in-poland/326867/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/productivity-losses-from-short-term-work-absence-due-to-neoplasms-in-poland/326867.png","ImageObject",300,407,{"name":92,"@type":93},"Patrick","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-29","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What data and method are used to estimate neoplasm-related productivity losses in Poland?","Question",{"text":112,"@type":113},"The analysis applies the human capital method and social insurance data to estimate productivity losses attributable to neoplasm-related short-term work absence.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do total productivity losses from work absence change from 2012 to 2022?",{"text":117,"@type":113},"They increase from €583 million in 2012 (0.143% of GDP) to €969 million in 2022 (0.164% of GDP).",{"name":119,"@type":110,"acceptedAnswer":120},"Which neoplasms are linked to the highest productivity losses, and which cancer sites have the greatest losses per absence episode?",{"text":121,"@type":113},"The highest total losses are associated with benign neoplasms, breast cancer, colorectum cancer and prostate cancer. The greatest losses per absence episode occur for brain cancer, lung cancer and oesophageal cancer.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},326867,1792177859,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145,"preview_page_count":4},549758146520,"https://ap-avatar.wpscdn.com/avatar/80002397d8c0411e94?_k=1775819394049821470","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nProductivity losses from short‑term work absence due to neoplasms in Poland  \nBłażej Łyszczarz  \nPrevious evidence on productivity losses from neoplasms focuses mostly on the economic burden from mortality, covers single cancer diagnoses and neglects non‑malignant neoplasms. This study aims to broaden this perspective by analysing losses resulting from work absence and all neoplasm diagnoses. The analysis applies the human capital method and social insurance data to estimate productivity losses attributable to neoplasm‑related short‑term work absence in Poland in the period 2012–2022. The productivity losses due to work absence attributable to all neoplasms in Poland were €583 million in 2012 (0.143% of gross domestic product) and they increased to €969 million in 2022 (0.164%) . Around 60% of the losses were associated with cancers while the remaining part of the burden was due to non‑malignant neoplasms. The neoplasms that led to the highest losses were benign neoplasms, breast cancer, colorectum cancer and prostate cancer. The cancer sites characterised by the greatest losses per absence episode were brain cancer, lung cancer and oesophageal cancer. For most of the neoplasms, we observed increasing losses in an 11‑year period analysed. Investing in effective public health policies that tackle neoplasms has the potential to reduce both the health burden and economic losses resulting from these diseases.  \nCancer is a major health concern worldwide and the burden of this disease incidence and mortality is growing rapidly1. This translates to severe economic consequences in terms of healthcare spending aimed at cancer treatment (direct costs)2 and productivity losses resulting from the inability to work of those affected (indirect costs)3. The former category of direct costs is conceptually intuitive as it encompasses expenditures associated with producing and delivering health services aimed at disease treatment. On the other hand, indirect costs area more abstract concept because they do not result in financial flows per se, they rather illustrate potential losses that society bears due to the sick’s inability to perform economic activities4.  \nNumerous studies have scrutinised productivity losses from cancer and these either focused on specific cancer diseases5–8 or analysed a range of cancer diagnoses together9–12. For the latter category of studies, most investigated a single category of indirect costs—usually mortality losses9–14. The focus on the consequences of cancer deaths is not surprising because mortality constitutes a key health-related burden of neoplasms. Yet, cancer morbidity also yields a significant economic burden. A systematic review of breast cancer indirect costs research3 lists several studies finding that morbidity losses exceed mortality losses, e.g.8, 15, 16. The economic analysis of Poland’s cancer absenteeism for 2009 shows that sick leave absence constituted ~ 19% of the total indirect costs17. This study aims to shed more light on the economic magnitude of the morbidity burden resulting from neoplasms. This is to be done by analysing time trends in sick leave absence and resulting productivity losses due to all neoplasms (both malignant and non-malignant) in Poland in 11 years of 2012–2022 based on social insurance data. The contributions of this research are as follows. To begin with, a decade-long analysis provides a comprehensive picture of losses evolution over time; this approach is crucial to understanding the dynamics of losses because we experience a growing incidence of cancer and this plausibly translates to an increasing economic burden. Secondly, this study uses work absence data on every malignant-related diagnosis as defined by the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10) . Until now, the economic studies of neoplasm burden, either focused o","cbCaickSjKharXPs","https://ap.wps.com/l/cbCaickSjKharXPs","pdf",1201139,11,"English","# Productivity losses from short-term work absence due to neoplasms in Poland\n## Material and methods","[{\"question\":\"What data and method are used to estimate neoplasm-related productivity losses in Poland?\",\"answer\":\"The analysis applies the human capital method and social insurance data to estimate productivity losses attributable to neoplasm-related short-term work absence.\"},{\"question\":\"How do total productivity losses from work absence change from 2012 to 2022?\",\"answer\":\"They increase from €583 million in 2012 (0.143% of GDP) to €969 million in 2022 (0.164% of GDP).\"},{\"question\":\"Which neoplasms are linked to the highest productivity losses, and which cancer sites have the greatest losses per absence episode?\",\"answer\":\"The highest total losses are associated with benign neoplasms, breast cancer, colorectum cancer and prostate cancer. The greatest losses per absence episode occur for brain cancer, lung cancer and oesophageal cancer.\"}]","Productivity losses from short-term work absence due to neoplasms in Poland | PDF",1789975596,28]