title: Estimation of Completeness of Cancer Registration for Patients Referred to Shiraz Selected Centers through a Two Source Capture Re-capture Method, 2009 Data.
abstract: BACKGROUND
  Cancer has important social consequences with cancer registration as the basis of moving towards prevention. The present study aimed to estimate the completeness of registration of the ten most common cancers in patients referred to selected hospitals in Shiraz, Iran by using capture-recapture method.
  
  
  METHODS
  This cross-sectional analytical study was performed in 2014 based on the data of 2009, on a total of 4,388 registered cancer patients. After cleaning data from two sources, using capture-recapture common findings were identified. Then, the percentage of the completeness of cancer registration was estimated using Chapman and Chao methods. Finally, the effects of demographic and treatment variables on the completeness of cancer registration were investigated.
  
  
  RESULTS
  The results showed that the percentages of completeness of cancer registration in the selected hospitals of Shiraz were 58.6% and 58.4%, and influenced by different variables. The age group between 40-49 years old was the highest represented and for the age group under 20 years old was the lowest for cancer registration. Breast cancer had the highest registration level and after that, thyroid and lung cancers, while colorectal cancer had the lowest registration level.
  
  
  CONCLUSIONS
  According to the results, the number of cancers registered was very few and it seems that factors like inadequate knowledge of some doctors, imprecise diagnosis about the types of cancer, incorrectly filled out medical documents, and lack of sufficient accuracy in recording data on the computer cause errors and defects in cancer registration. This suggests a necessity to educate and teach doctors and other medical workers about the methods of documenting information related to cancer and also conduct additional measures to improve the cancer registration system.
authors.affiliation: Department of Health Information Management and Technology, School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran E-mail : mnemat@sums.ac.ir.
authors.forename: Roxana
authors.initials: R
authors.lastname: Sharifian
authors.forename: Mohammad Hossein
authors.initials: MH
authors.lastname: SedaghatNia
authors.forename: Mohtram
authors.initials: M
authors.lastname: Nematolahi
authors.forename: Najaf
authors.initials: N
authors.lastname: Zare
authors.forename: Saeed
authors.initials: S
authors.lastname: Barzegari
mesh_terms: D000328:Adult; D000368:Aged; D003430:Cross-Sectional Studies; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007492:Iran / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology*; D011159:Population Surveillance; D011379:Prognosis; D012042:Registries / Q000592:standards* / Q000706:statistics & numerical data*; D012044:Regression Analysis; D055815:Young Adult