期刊论文详细信息
BMC Research Notes
Timely access and quality of care in colorectal cancer: a population-based cohort study using administrative data
Eva Grunfeld5  Yarrow McConnell3  Jingyu Bu2  Cynthia Kendell1  Robin Urquhart1  Geoffrey Porter4 
[1] Cancer Outcomes Research Program, Cancer Care Nova Scotia, Halifax, Nova Scotia, Canada;New Brunswick Cancer Network, Government of New Brunswick, Fredericton, New Brunswick, Canada;Tom Baker Cancer Centre, University of Calgary, Calgary, Alberta, Canada;Department of Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada;Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
关键词: Evaluation;    Access;    Healthcare quality;    Quality indicators;    Colorectal neoplasms;   
Others  :  1141745
DOI  :  10.1186/1756-0500-6-355
 received in 2012-12-04, accepted in 2013-08-28,  发布年份 2013
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【 摘 要 】

Background

While efforts to improve cancer outcomes have typically focused on improving quality of care, recently, a growing emphasis has been placed on timely access to quality cancer care. This retrospective cohort study examines, at a population level, the relationship between quality and timeliness of colorectal cancer (CRC) care in a single Canadian province (Nova Scotia). Through the provincial cancer registry, we identified all residents diagnosed with invasive CRC between 2001 and 2005 that underwent a non-emergent resection. Using anonymized administrative databases that are individually linked at the patient level, we obtained clinicodemographic, diagnostic, and treatment event data. Selected charts were reviewed to ensure completeness of chemotherapy data.

Performance on six quality indicators and the percentage of patients achieving wait-time benchmarks for diagnosis, surgery, and adjuvant therapy were calculated. The relationship between quality indicators and wait-time benchmarks was examined using logistic regression.

Results

Where an association was identified, patients who received ‘higher quality care’ had longer wait times. Individuals who received a complete preoperative colonoscopy were less likely to meet benchmarks for time from presentation to diagnosis and from diagnosis to surgery. Those who received an appropriate radiation oncology consultation were less likely to meet benchmarks for time from diagnosis to surgery and from surgery to adjuvant therapy.

Conclusions

As governments and other organizations move forward with strategies to reduce wait times, they must also focus on how to define and monitor quality care, and consider the relationship between these two dimensions of health care. Similarly, when developing quality improvement initiatives, the impact on resource utilization and potential to create longer waits for care must be considered.

【 授权许可】

   
2013 Porter et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]Canadian Cancer Society’s Steering Committee: Canadian Cancer Statistics 2011. Toronto, ON: Canadian Cancer Society; 2011.
  • [2]Howlader N, Noone AM, Krapcho M, Neyman N, Aminou R, Waldron W, Altekruse SF, Kosary CL, Ruhl J, Tatalovich Z, Cho H, Mariotto A, Eisner MP, Lewis DR, Chen HS, Feuer EJ, Cronin KA, Edwards BK: SEER Cancer Statistics Review. Bethesda, MD: National Cancer Institute; 1975-2008. http://seer.cancer.gov/csr/1975_2008 webcite
  • [3]Lohr K: Medicare: A Strategy for Quality Assurance. Vols I and II. Washington, DC: National Academy Press; 1990.
  • [4]Oliver MD: All stages of care pathway need speeding up. BMJ 2001, 323(7317):864.
  • [5]Sanmartin C, Shortt SE, Barer ML, Sheps S, Lewis S, McDonald PW: Waiting for medical services in Canada: lots of heat, but little light. CMAJ 2000, 162(9):1305-1310.
  • [6]Sibbald B: CMA okays private health care for waiting patients. CMAJ 2005, 173(6):585.
  • [7]Thomas S, Burnet N: Reducing waiting times from diagnosis to treatment might be more effective. BMJ 2001, 323(7317):864.
  • [8]Norris S: The Wait Times Issue and the Patient Wait Times Guarantee. 2007. [http://www.parl.gc.ca/Content/LOP/researchpublications/prb0582-e.htm webcite]
  • [9]Target Wait Times for Cancer Surgery in Ontario. 2006. [https://www.cancercare.on.ca/common/pages/UserFile.aspx?fileId?=?43244 webcite]
  • [10]Report of the Cancer Surgery Expert Panel. 2005. [http://www.ontla.on.ca/library/repository/mon/12000/256879.pdf webcite]
  • [11]United Kingdom Department of Health: The NHS Cancer Plan: a plan for investment, a plan of reform. 2000. [http://webarchive.nationalarchives.gov.uk/20130107105354/http://www.dh.gov.uk/prod_consum_dh/groups/dh_digitalassets/@dh/@en/documents/digitalasset/dh_4014513.pdf webcite]
  • [12]Hurst J, Siciliani L: Tackling excessive waiting times for elective surgery: a comparison of policies in twelve OECD countries. 2003. [http://www.oecd.org/els/health-systems/5162353.pdf]
  • [13]Wait Time Alliance: Wait Time Alliance backgrounder: Wait-time guarantees by province and territory. 2010. [http://www.cag-acg.org/uploads/wtapressreleaseguaranteesmarch31_2010.pdf webcite]
  • [14]McConnell YJ, Inglis K, Porter GA: Timely access and quality of care in colorectal cancer: are they related? Int J Qual Health Care 2010, 22(3):219-228.
  • [15]Porter G, Urquhart R, Bu J, Kendell C, Macintyre M, Dewar R, Kephart G, Asada Y, Grunfeld E: A team approach to improving colorectal cancer services using administrative health data. Health Res Policy Syst 2012, 10(1):4. BioMed Central Full Text
  • [16]Urquhart R, Rayson D, Porter GA, Grunfeld E: Quantifying limitations in chemotherapy data in administrative health databases: implications for measuring the quality of colorectal cancer care. Healthc Policy 2011, 7(1):32-40.
  • [17]Elixhauser A, Steiner C, Harris D, Coffey R: Comorbidity measures for use with administrative data. Med Care 1998, 36(1):8-27.
  • [18]Quan H, Sundararajan V, Halfon P, Fong A, Burnand B, Luthi JC, Saunders LD, Beck CA, Feasby TE, Ghali WA: Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data. Med Care 2005 Nov, 43(11):1130-1139.
  • [19]Collaborative Stage Work Group of the American Joint Committee on Cancer: Collaborative Stage Data Collection System Coding Instructions, version 01.04.00. Incorporates updates through October 31, 2007. Chicago, IL: American Joint Committee on Cancer; 2007.
  • [20]American Joint Committee on Cancer: AJCC Cancer Staging Handbook from the AJCC Cancer Staging Manual. 6th edition. New York, NY: Springer; 2002.
  • [21]Wilkins R: PCCF + Version 4J User’s Guide. Automated Geographic Coding Based on the Statistics Canada Postal Code Conversion Files, Including Postal Codes through September 2006. Canada: Ottawa Health Analysis and Measurement Group, Statistics; 2007.
  • [22]Janes D, McNiven C, Puderer H: Census Metropolitan Area and Census Agglomeration Influenced Zones (MIZ): A Description of the Methodology. Ottawa, ON: Geography Division, Statistics Canada; 2000.
  • [23]Gagliardi AR, Simunovic M, Langer B, Stern H, Brown AD: Development of quality indicators for colorectal cancer surgery, using a 3-step modified Delphi approach. Can J Surg 2005, 48(6):441-452.
  • [24]McGory ML, Shekelle PG, Yo CY: Development of quality indicators for patients undergoing colorectal cancer surgery. J Natl Cancer Inst 2006, 98(22):1623-1633.
  • [25]Prosnitz RG, Patwardhan MB, Samsa GP, Mantyh CR, Fisher DA, McCrory DC, Cline K, Gray RN, Morse MA: Quality measures for the use of adjuvant chemotherapy and radiation therapy in patients with colorectal cancer: a systematic review. Cancer 2006, 107(10):2352-2360.
  • [26]Urquhart R, Grunfeld E: Measuring the quality of care provided to patients with colorectal cancer: the potential of quality indicators. Oncology Exchange 2009, 8(4):6-10. 40
  • [27]Nelson H, Petrelli N, Carlin A, Couture J, Fleshman J, Guillem J, Meidema B, Ota D, Sargent D, Panel NCIE: Guidelines 2000 for colon and rectal cancer surgery. J Natl Cancer Inst 2001 Apr 18, 93(8):583-596.
  • [28]Mainz J: Defining and classifying clinical indicators for quality improvement. Int J Qual Health Care 2003, 15(6):523-530.
  • [29]Johnson PM, Malatjalian D, Porter GA: Adequacy of nodal harvest in colorectal cancer: a consecutive cohort study. J Gastrointest Surg 2002, 6(6):883-888. discussion 889–890
  • [30]Porter GA, Urquhart R, Bu J, Johnson PJ, Grunfeld E: The impact of audit and feedback on nodal harvest in colorectal cancer. BMC Cancer 2011, 11:2. BioMed Central Full Text
  • [31]Ong S, Watters JM, Grunfeld E, O’Rourke K: Predictors of referral for adjuvant therapy for colorectal cancer. Can J Surg 2005, 48(3):225-229.
  • [32]Ford AC, van Zanten SJO V, Rodgers CC, Talley NJ, Vakil NB, Moayyedi P: Diagnostic utility of alarm features for colorectal cancer: systematic review and meta-analysis. Gut 2008, 57(11):1545-1553.
  • [33]Jellema P, Windt DAWM, Bruinvels DJ, Mallen CD, Weyenberg SJB, Mulder CJ, Vet HCW: Value of symptoms and additional diagnostic tests for colorectal cancer in primary care: systematic review and meta-analysis. BMJ 2010, 340:c1269.
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