Impact of Different Correction Methods on Cancer Mortality Trends in Brazil

Department of Epidemiology at the University of São Paulo presents a study by Alessandro Bigoni on the impact of various correction methods on cancer mortality trends in Brazil. The research aims to analyze the relationship between correction methods, socioeconomic conditions, and healthcare provision in understanding cancer mortality patterns. The study addresses challenges such as underreporting, low-quality death registration, and geographical disparities. Through in-depth analysis and evaluation, the research provides insights into improving mortality data accuracy and addressing existing inconsistencies in correction methodologies.

• Cancer Mortality
• Correction Methods
• Epidemiology
• Public Health
• Brazil

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1. charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude Brazilian Stata Conference S o Paulo, December 5th 2019 Alessandro Bigoni Epidemiology Department University of S o Paulo (USP) School of Public Health (FSP) alebigoni@usp.br

2. Background & Motivation Department of Epidemiology Thesis title: Trend and magnitude of cancer mortality in Brazil and its relationship with socioeconomic conditions and health care provision Describe Estimate Analyze charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

3. Background & Motivation Department of Epidemiology Thesis title: Trend and magnitude of cancer mortality in Brazil and its relationship with socioeconomic conditions and health care provision Describe Estimate Analyze charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

4. Background & Motivation charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

5. The problem Underreporting Low-quality death registration Geographical differences Improvement over time No consensus on the use of correction methods charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

6. Methods used Commonly seen formulas ??? ?? ??? ?? ??? (1) ???: certified number of deaths by cancer ???: is the number of deaths from the 18th chapter from the ICD-10 (R00-R99) ??: Total number of deaths. ??: Total number of deaths by external causes ??? ?? ??? ?? ?.? ??? (2) ???: certified number of deaths by cancer ? : is a garbage code group, NDgi: is the total number of deaths of a garbage code group ? is the coefficient proportion. ??? + ???? ?? (3) charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

7. Method: WHO charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

8. Method: Elisabete Frana charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

9. Method: GBD charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

10. Method: GBD charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

11. charon charon varname, cancer() doption() geolevel() adjust() steps() [tableupdate] charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

12. charon charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

13. charon varname, can() dop() geo() adj() steps() causabas causabas_o linhaa linhab linhac linhad linhaii charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

14. charon varname, can() dop() geo() adj() steps() All neoplasms | neopla Lip and oral cavity cancer | lipora Nasopharynx cancer | nasoph Esophageal cancer | esopha Stomach cancer | stomac Colon and rectum cancer | colon Liver cancer | liver Leukemia | leukem Chronic myeloid leukemia | chromy Hodgkin lymphoma | hodgki Non-Hodgkin lymphoma |nonhod Thyroid cancer | thyroi Prostate cancer |prosta Cervical cancer | cervic [...]+27 charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

15. charon varname, can() dop() geo() adj() steps() can( ) dop( withdcodes ) dop( nodcodes ) lipora nasoph esoph stomac colon C00-C089 D100-D105 D11-D119 C11-C119 D106 C00-C089 C11-C119 C15-C159 D001-D130 C15-C159 C16-C169 D002 D131 D371 C16-C169 C18-C219 D010-D013 D12-D129 D373-D375 C18-C219 liver leukem prosta cervic C22-C229 D134 C22-C229 C53-C539 D06-D069 D260 C53-C539 C61-C619 D075 D291 D400 C61-C619 C53-C539 D06-D069 D260 C53-C539 [ ] [ ] [ ] charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

16. charon varname, can() dop() geo() adj() steps() geo( macroreg ) geo( state ) geo( reginter ) charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

17. charon varname, can() dop() geo() adj() steps() adj( franca ) adj( oms ) ??? ??? ??? ?.? ??? ?? (??? + ??) ?? (??? + ??) charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

18. charon varname, can() dop() geo() adj() steps() adj( GBD ) [tableupdate] ??? + ???? ?? charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

19. charon varname, can() dop() geo() adj() steps() adj( GBD ) [tableupdate] ??? + ???? ?? charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

20. charon varname, can() dop() geo() adj() steps() steps(All) steps(Rates) charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

21. charonrates Standardized Mortality Rate WHO population reference charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

22. charon varname, can() dop() geo() adj() steps() charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

23. charontimes charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

24. charon varname, can() dop() geo() adj() steps() charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th

25. Results charon : A command to study the impact of different correction methods on cancer mortality trends and magnitude A. Bigoni December 5th