作者: Daisy Maria Xavier De Abreu , Mark Drew Crosland Guimarães , Glaura da Conceição Franco , Gustavo de Carvalho Lana , Lenice Harumi Ishitani
DOI: 10.32635/2176-9745.RBC.2016V62N2.170
关键词:
摘要: Introduction: In analysis of mortality the coverage and quality information should be observed in order to reduce risk underreporting bias and/or incorrect registration cause-of-death. Objective: To analyze due prostate cancer among 30-69 year-old men Brazil, from 1996 2011, after correcting for deaths redistribution ill-defined unspecific causes-of-death. Method: Steps correction procedures included data imputation with unknown sex age, causes-of-death, death Mortality Information System. Time series each region Brazil were analyzed by linear regression autoregressive errors space models states. Results: After correction for underreporting, increased 22.2%, 1996, 6.2%, 2011. A larger contribution was ill-defined especially (21.4%). Unspecific codes had a limited impact on total corrected deaths. correction, Northeast Southeast Regions presented, respectively, highest lowest rates reduction rate period regional difference 2011 also observed. Conclusion: more specific picture regarding emerged applying procedures, this can used better planning public health actions.