Patterns of health care utilization preceding a colorectal cancer diagnosis are strong predictors of dying quickly following diagnosis
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  • 作者:Robin Urquhart (1) (2)
    Grace Johnston (3)
    Mohamed Abdolell (4)
    Geoff A Porter (1) (2)

    1. Department of Surgery
    ; Dalhousie University ; Halifax ; NS ; Canada
    2. Cancer Outcomes Research Program
    ; Dalhousie University/Capital District Health Authority ; Halifax ; NS ; Canada
    3. School of Health Administration
    ; Dalhousie University ; Halifax ; NS ; Canada
    4. Department of Diagnostic Radiology
    ; Dalhousie University ; Halifax ; NS ; Canada
  • 关键词:Digestive system neoplasms ; Palliative care ; Diagnosis ; Delivery of health care
  • 刊名:BMC Palliative Care
  • 出版年:2015
  • 出版时间:December 2015
  • 年:2015
  • 卷:14
  • 期:1
  • 全文大小:62 KB
  • 参考文献:1. Canadian Cancer Society’s Advisory Committee on Cancer Statistics: / Canadian Cancer Statistics 2013. Toronto, ON: Canadian Cancer Society; 2013.
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    14. Corkum M, Urquhart R, Kendell C, Burge F, Porter G, Johnston G: Impact of comorbidity and healthcare utilization on colorectal cancer stage at diagnosis: literature review. / Cancer Causes Control 2012,23(2):213-20. 10.1007/s10552-011-9875-8
文摘
Background Understanding the predictors of a quick death following diagnosis may improve timely access to palliative care. The objective of this study was to explore whether factors in the 24?months prior to a colorectal cancer (CRC) diagnosis predict a quick death post-diagnosis. Methods Data were from a longitudinal study of all adult persons diagnosed with CRC in Nova Scotia, Canada, from 01Jan2001-31Dec2005. This study included all persons who died of any cause by 31Dec2010, except those who died within 30?days of CRC surgery (n--885 decedents). Classification and regression tree models were used to explore predictors of time from diagnosis to death for the following time intervals: 2, 4, 6, 8, 12, and 26?weeks from diagnosis to death. All models were performed with and without stage at diagnosis as a predictor variable. Clinico-demographic and health service utilization data in the 24?months pre-diagnosis were provided via linked administrative databases. Results The strongest, most consistent predictors of dying within 2, 4, 6, and 8?weeks of CRC diagnosis were related to health services utilization in the 24?months prior to diagnosis: i.e., number of specialist visits, number of days spent in hospital, and number of family physician visits. Stage at diagnosis was the strongest predictor of dying within 12 and 26?weeks of diagnosis. Conclusions Identifying potential predictors of a short timeframe between cancer diagnosis and death may aid in the development of strategies to facilitate timely and appropriate referral to palliative care upon a cancer diagnosis.

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