Journal of Cancer Epidemiology (Jan 2018)

Validity of Administrative Databases in Comparison to Medical Charts for Breast Cancer Treatment Data

  • Ashini Weerasinghe,
  • Courtney R. Smith,
  • Vicky Majpruz,
  • Anjali Pandya,
  • Kristina M. Blackmore,
  • Claire M. B. Holloway,
  • Roanne Segal-Nadlere,
  • Cathy Paroschy Harris,
  • Ashley Hendry,
  • Amanda Hey,
  • Anat Kornecki,
  • George Lougheed,
  • Barbara-Anne Maier,
  • Patricia Marchand,
  • David McCready,
  • Carol Rand,
  • Simon Raphael,
  • Neelu Sehgal,
  • Anna M. Chiarelli

DOI
https://doi.org/10.1155/2018/9218595
Journal volume & issue
Vol. 2018

Abstract

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Objective. Medical chart abstraction is the gold standard for collecting breast cancer treatment data for monitoring and research. A less costly alternative is the use of administrative databases. This study will evaluate administrative data in comparison to medical charts for breast cancer treatment information. Study Design and Setting. A retrospective cohort design identified 2,401 women in the Ontario Breast Screening Program diagnosed with invasive breast cancer from 2006 to 2009. Treatment data were obtained from the Activity Level Reporting and Canadian Institute of Health Information databases. Medical charts were abstracted at cancer centres. Sensitivity, specificity, positive and negative predictive value, and kappa were calculated for receipt and type of treatment, and agreement was assessed for dates. Logistic regression evaluated factors influencing agreement. Results. Sensitivity and specificity for receipt of radiotherapy (92.0%, 99.3%), chemotherapy (77.7%, 99.2%), and surgery (95.8%, 100%) were high but decreased slightly for specific radiotherapy anatomic locations, chemotherapy protocols, and surgeries. Agreement increased by radiotherapy year (trend test, p<0.0001). Stage II/III compared to stage I cancer decreased odds of agreement for chemotherapy (OR = 0.66, 95% CI: 0.48–0.91) and increased agreement for partial mastectomy (OR = 3.36, 95% CI: 2.27–4.99). Exact agreement in treatment dates varied from 83.0% to 96.5%. Conclusion. Administrative data can be accurately utilized for future breast cancer treatment studies.