Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study.

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  • Additional Information
    • Publication Year:
      2016
    • Subject Terms:
    • Author-Supplied Keywords:
      Administrative data
      Breast cancer diagnosis
      Diagnostic interval
      Population study
    • NAICS/Industry Codes:
      NAICS/Industry Codes 621512 Diagnostic Imaging Centers
      622310 Specialty (except Psychiatric and Substance Abuse) Hospitals
      541712 Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
      621999 All Other Miscellaneous Ambulatory Health Care Services
    • Abstract:
      Background: Understanding the factors affecting the mode and timeliness of breast cancer diagnosis is important to optimizing patient experiences and outcomes. The purposes of the study were to identify factors related to the length of the diagnostic interval and assess how they vary by mode of diagnosis: screen or symptom detection.Methods: All female residents of Alberta diagnosed with first primary breast cancer in years 2004-2010 were identified from the Alberta Cancer Registry. Data were linked to Physician Claims and screening program databases. Screen-detected patients were identified as having a screening mammogram within 6-months prior to diagnosis; remaining patients were considered symptom-detected. Separate quantile regression was conducted for each detection mode to assess the relationship between demographic/clinical and healthcare factors.Results: Overall, 38 % of the 12,373 breast cancer cases were screen-detected compared to 47 % of the screen-eligible population. Health region of residence was strongly associated with cancer detection mode. The median diagnostic interval for screen and symptom-detected cancers was 19 and 21 days, respectively. The variation by health region, however, was large ranging from an estimated median of 4 to 37 days for screen-detected patients and from 17 to 33 days for symptom-detected patients. Cancer stage was inversely associated with the diagnostic interval for symptom-detected cancers, but not for screen-detected cancers.Conclusion: Significant variation by health region in both the percentage of women with screen-detected cancer and the length of the diagnostic interval for screen and symptom-detected breast cancers suggests there could be important differences in local breast cancer diagnostic care coordination. [ABSTRACT FROM AUTHOR]
    • Abstract:
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    • ISSN:
      14726963
    • Accession Number:
      113185479
  • Citations
    • ABNT:
      YAN YUAN et al. Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study. BMC Health Services Research, [s. l.], v. 16, p. 1, 2016. Disponível em: . Acesso em: 11 nov. 2019.
    • AMA:
      Yan Yuan, Maoji Li, Jing Yang, et al. Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study. BMC Health Services Research. 2016;16:1. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479. Accessed November 11, 2019.
    • APA:
      Yan Yuan, Maoji Li, Jing Yang, Elliot, T., Dabbs, K., Dickinson, J. A., … Yang, J. (2016). Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study. BMC Health Services Research, 16, 1. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479
    • Chicago/Turabian: Author-Date:
      Yan Yuan, Maoji Li, Jing Yang, Tracy Elliot, Kelly Dabbs, James A. Dickinson, Stacey Fisher, et al. 2016. “Factors Related to Breast Cancer Detection Mode and Time to Diagnosis in Alberta, Canada: A Population-Based Retrospective Cohort Study.” BMC Health Services Research 16 (February): 1. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479.
    • Harvard:
      Yan Yuan et al. (2016) ‘Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study’, BMC Health Services Research, 16, p. 1. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479 (Accessed: 11 November 2019).
    • Harvard: Australian:
      Yan Yuan, Maoji Li, Jing Yang, Elliot, T, Dabbs, K, Dickinson, JA, Fisher, S, Winget, M, Yuan, Y, Li, M & Yang, J 2016, ‘Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study’, BMC Health Services Research, vol. 16, p. 1, viewed 11 November 2019, .
    • MLA:
      Yan Yuan, et al. “Factors Related to Breast Cancer Detection Mode and Time to Diagnosis in Alberta, Canada: A Population-Based Retrospective Cohort Study.” BMC Health Services Research, vol. 16, Feb. 2016, p. 1. EBSCOhost, search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479.
    • Chicago/Turabian: Humanities:
      Yan Yuan, Maoji Li, Jing Yang, Tracy Elliot, Kelly Dabbs, James A. Dickinson, Stacey Fisher, et al. “Factors Related to Breast Cancer Detection Mode and Time to Diagnosis in Alberta, Canada: A Population-Based Retrospective Cohort Study.” BMC Health Services Research 16 (February 19, 2016): 1. http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479.
    • Vancouver/ICMJE:
      Yan Yuan, Maoji Li, Jing Yang, Elliot T, Dabbs K, Dickinson JA, et al. Factors related to breast cancer detection mode and time to diagnosis in Alberta, Canada: a population-based retrospective cohort study. BMC Health Services Research [Internet]. 2016 Feb 19 [cited 2019 Nov 11];16:1. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=113185479