Literature DB >> 25210569

Quality of care indicators and their related outcomes: A population-based study in prostate cancer patients treated with radical prostatectomy.

Colleen Webber1, D Robert Siemens2, Michael Brundage3, Patti A Groome1.   

Abstract

INTRODUCTION: We evaluated the validity of 8 quality of care indicators for prostate cancer patients treated curatively with radical prostatectomy (RP) by examining their association with indicator-relevant outcomes.
METHODS: We conducted a population-based retrospective cohort study of 646 prostate cancer patients diagnosed between 1990 and 1998 who received RP within 6 months of diagnosis. Data were collected from treating charts and linked to registry and administrative data. Quality indicators included: hospital volume, pre-treatment risk assessment, consultation with a radiation oncologist, appropriate follow-up care, nerve-sparing surgery, units of blood transfused, surgical margin status, and pelvic lymph node dissection during RP. Indicator-relevant outcomes were selected a priori by clinical members of the research team. The associations between indicators and their relevant outcomes were analyzed using regression techniques, to control for potential confounders.
RESULTS: Of the quality indicators evaluated, only hospital volume was statistically significantly associated with the gradient in the expected direction. Patients treated in the lowest-volume hospitals (<1 RP/month) had lower cause-specific survival rates compared to patients treated in the highest-volume hospitals (≥7 RP/month) (HR=4.71 95%; CI 1.06-20.82). Completeness of follow-up care was associated with cause-specific survival but in the opposite direction to our hypothesis.
CONCLUSION: The structural indicator of hospital volume was associated with cause-specific survival in accordance with our a priori hypothesis. Our negative findings for completeness of follow-up care call its validity into question. Issues of statistical power and measurement accuracy may have affected our validation of the remaining indicators underscoring the challenges in assessing the impact of accepted quality indicators.

Entities:  

Year:  2014        PMID: 25210569      PMCID: PMC4137031          DOI: 10.5489/cuaj.1649

Source DB:  PubMed          Journal:  Can Urol Assoc J        ISSN: 1911-6470            Impact factor:   1.862


  19 in total

1.  Radical prostatectomy: does higher volume lead to better quality?

Authors:  A L Potosky; J L Warren
Journal:  J Natl Cancer Inst       Date:  1999-11-17       Impact factor: 13.506

2.  Validation of quality indicators for radical prostatectomy.

Authors:  Ellen O M Chan; Patti A Groome; D Robert Siemens
Journal:  Int J Cancer       Date:  2008-12-01       Impact factor: 7.396

3.  Pretreatment nomogram for prostate-specific antigen recurrence after radical prostatectomy or external-beam radiation therapy for clinically localized prostate cancer.

Authors:  A V D'Amico; R Whittington; S B Malkowicz; J Fondurulia; M H Chen; I Kaplan; C J Beard; J E Tomaszewski; A A Renshaw; A Wein; C N Coleman
Journal:  J Clin Oncol       Date:  1999-01       Impact factor: 44.544

Review 4.  Prostate cancer: 6. Surgical treatment of localized disease.

Authors:  S L Goldenberg; E W Ramsey; M A Jewett
Journal:  CMAJ       Date:  1998-11-17       Impact factor: 8.262

Review 5.  The quality of care. How can it be assessed?

Authors:  A Donabedian
Journal:  JAMA       Date:  1988 Sep 23-30       Impact factor: 56.272

6.  Socioeconomic status and cancer survival in Ontario.

Authors:  W J Mackillop; J Zhang-Salomons; P A Groome; L Paszat; E Holowaty
Journal:  J Clin Oncol       Date:  1997-04       Impact factor: 44.544

7.  Assessing the impact of comorbid illnesses on death within 10 years in prostate cancer treatment candidates.

Authors:  Patti A Groome; Susan L Rohland; D Robert Siemens; Michael D Brundage; Jeremy Heaton; William J Mackillop
Journal:  Cancer       Date:  2011-02-24       Impact factor: 6.860

Review 8.  Prostate cancer epidemiology.

Authors:  Henrik Grönberg
Journal:  Lancet       Date:  2003-03-08       Impact factor: 79.321

9.  Competing risk regression models for epidemiologic data.

Authors:  Bryan Lau; Stephen R Cole; Stephen J Gange
Journal:  Am J Epidemiol       Date:  2009-06-03       Impact factor: 4.897

Review 10.  Impact of surgeon and hospital volume on outcomes of radical prostatectomy.

Authors:  Daniel A Barocas; Robert Mitchell; Sam S Chang; Michael S Cookson
Journal:  Urol Oncol       Date:  2009-04-22       Impact factor: 3.498

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