title: National Breast and Cervical Cancer Early Detection Program data validation project.
abstract: BACKGROUND
  The objectives of this study were to evaluate the quality of national data generated by the National Breast and Cervical Cancer Early Detection Program (NBCCEDP); to assess variables collected through the program that are appropriate to use for program management, evaluation, and data analysis; and to identify potential data-quality issues.
  
  
  METHODS
  Information was abstracted randomly from 5603 medical records selected from 6 NBCCEDP-funded state programs, and 76 categorical variables and 11 text-based breast and cervical cancer screening and diagnostic variables were collected. Concordance was estimated between abstracted data and the data collected by the NBCCEDP. Overall and outcome-specific concordance was calculated for each of the key variables. Four screening performance measures also were estimated by comparing the program data with the abstracted data.
  
  
  RESULTS
  Basic measures of program outcomes, such as the percentage of women with cancer or with abnormal screening tests, had a high concordance rate. Variables with poor or inconsistent concordance included reported breast symptoms, receipt of fine-needle aspiration, and receipt of colposcopy with biopsy.
  
  
  CONCLUSIONS
  The overall conclusion from this comprehensive validation project of the NBCCEDP is that, with few exceptions, the data collected from individual program sites and reported to the CDC are valid and consistent with sociodemographic and clinical data within medical records.
authors.affiliation: Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia.
authors.forename: Christie R
authors.initials: CR
authors.lastname: Eheman
authors.forename: Steven
authors.initials: S
authors.lastname: Leadbetter
authors.forename: Vicki B
authors.initials: VB
authors.lastname: Benard
authors.forename: A
authors.initials: A
authors.lastname: Blythe Ryerson
authors.forename: Janet E
authors.initials: JE
authors.lastname: Royalty
authors.forename: Donald
authors.initials: D
authors.lastname: Blackman
authors.forename: Lori A
authors.initials: LA
authors.lastname: Pollack
authors.forename: Paula Willey
authors.initials: PW
authors.lastname: Adams
authors.forename: Fran
authors.initials: F
authors.lastname: Babcock
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis*; D055088:Early Detection of Cancer / Q000379:methods*; D005260:Female; D006291:Health Policy; D006801:Humans; D014481:United States; D002583:Uterine Cervical Neoplasms / Q000175:diagnosis*
keywords: abstracting; breast cancer; cervical cancer; data quality; medical records; validation studies
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