Literature DB >> 12585788

Provider volume and other predictors of outcome after total knee arthroplasty: a population study in Ontario.

Hans J Kreder1, Paul Grosso, Jack I Williams, Susan Jaglal, Tami Axcell, Eugene K Wal, David J G Stephen.   

Abstract

INTRODUCTION: Because of rationing of the limited pool of health care resources, access to total knee arthroplasty (TKA) is limited, but investigation of variables that predict complications, length of hospital stay, cost and outcomes of TKA may allow us to optimize the available resources. The objective of this study was to examine the effect of various factors on complication rates after TKA in patients managed in Ontario.
METHODS: Patients who had undergone an elective TKA between 1993 and 1996, as captured in the Canadian Institute for Health Information (CIHI) database, formed the study cohort. The CIHI dataset was used to obtain information regarding in-hospital complications, hospital length of stay, revision rates, infection rates and mortality. Generalized estimating linear or logistic regression equations were used to model outcomes as a function of age, gender, comorbidity, diagnosis and provider volume.
RESULTS: During the study period, 14,352 patients in Ontario underwent TKA. Mortality at 3 months was associated with patient age, gender and comorbidity. There was no association between provider volume and mortality or the infection rate. Higher revision rates at 1 and 3 years were significantly associated with lower patient age and low hospital volume (p < 0.05). Hospitals in which fewer than 48 TKA procedures were done per year (< 40th percentile) had 2.2-fold greater 1-year revision rates than hospitals performing more than 113 TKAs annually (> 80th percentile). Complications during admission were associated with increased patient age and comorbidity, and higher hospital volume. Longer hospital stay was associated with female gender, increasing patient comorbidity and age, and lower provider volume. Surgeons who performed fewer than 14 TKAs annually (< 40th percentile) kept patients in hospital an average of 1.4 days longer than surgeons performing more than 42 TKAs annually (> 80th percentile).
CONCLUSIONS: Patient variables significantly affect the rate of complications. Age, sex and comorbidity were significant predictors of complications, length of hospital stay and mortality after TKA. Although low surgeon volume was related to longer hospital stay, there was no association between surgeon volume and complication rates. The increased early revision rate for low-volume hospitals demands further study.

Entities:  

Mesh:

Year:  2003        PMID: 12585788      PMCID: PMC3211664     

Source DB:  PubMed          Journal:  Can J Surg        ISSN: 0008-428X            Impact factor:   2.089


  35 in total

1.  The effect of hospital volume on the in-hospital complication rate in knee replacement patients.

Authors:  E C Norton; S A Garfinkel; L J McQuay; D A Heck; J G Wright; R Dittus; R M Lubitz
Journal:  Health Serv Res       Date:  1998-12       Impact factor: 3.402

2.  Revision rates after knee replacement in the United States.

Authors:  D A Heck; C A Melfi; L A Mamlin; B P Katz; D S Arthur; R S Dittus; D A Freund
Journal:  Med Care       Date:  1998-05       Impact factor: 2.983

3.  Health-related quality of life after knee replacement.

Authors:  G Hawker; J Wright; P Coyte; J Paul; R Dittus; R Croxford; B Katz; C Bombardier; D Heck; D Freund
Journal:  J Bone Joint Surg Am       Date:  1998-02       Impact factor: 5.284

4.  Rates of revision knee replacement in Ontario, Canada.

Authors:  P C Coyte; G Hawker; R Croxford; J G Wright
Journal:  J Bone Joint Surg Am       Date:  1999-06       Impact factor: 5.284

5.  Should operations be regionalized? The empirical relation between surgical volume and mortality.

Authors:  H S Luft; J P Bunker; A C Enthoven
Journal:  N Engl J Med       Date:  1979-12-20       Impact factor: 91.245

6.  Does hospital procedure-specific volume affect treatment costs? A national study of knee replacement surgery.

Authors:  B Gutierrez; S D Culler; D A Freund
Journal:  Health Serv Res       Date:  1998-08       Impact factor: 3.402

7.  Are complication rates for elective primary total hip arthroplasty in Ontario related to surgeon and hospital volumes? A preliminary investigation.

Authors:  H J Kreder; J I Williams; S Jaglal; R Hu; T Axcell; D Stephen
Journal:  Can J Surg       Date:  1998-12       Impact factor: 2.089

8.  Trauma mortality in Orange County: the effect of implementation of a regional trauma system.

Authors:  R H Cales
Journal:  Ann Emerg Med       Date:  1984-01       Impact factor: 5.721

9.  Patient comorbidity: relationship to outcomes of total knee arthroplasty.

Authors:  R C Wasielewski; H Weed; C Prezioso; C Nicholson; R D Puri
Journal:  Clin Orthop Relat Res       Date:  1998-11       Impact factor: 4.176

10.  Patient outcomes after knee replacement.

Authors:  D A Heck; R L Robinson; C M Partridge; R M Lubitz; D A Freund
Journal:  Clin Orthop Relat Res       Date:  1998-11       Impact factor: 4.176

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  41 in total

1.  Providers, outcomes and their determinants.

Authors:  Michael Gross
Journal:  Can J Surg       Date:  2003-02       Impact factor: 2.089

2.  Patient vs provider characteristics impacting hospital lengths of stay after total knee or hip arthroplasty.

Authors:  Joseph F Styron; Siran M Koroukian; Alison K Klika; Wael K Barsoum
Journal:  J Arthroplasty       Date:  2011-01-28       Impact factor: 4.757

Review 3.  [A rapid review of the minimum quality problems using total knee arthroplasty as an example. Where do the magical threshold values come from?].

Authors:  D Stengel; A Ekkernkamp; J Dettori; B Hanson; K M Stürmer; H Siebert
Journal:  Unfallchirurg       Date:  2004-10       Impact factor: 1.000

4.  [Minimal provider volume in total knee replacement : an analysis of the external quality assurance program of North Rhine-Westphalia (QS-NRW)].

Authors:  T Kostuj; U Schulze-Raestrup; M Noack; K Buckup; R Smektala
Journal:  Chirurg       Date:  2011-05       Impact factor: 0.955

5.  Provider volumes and early outcomes of primary total joint replacement in Ontario.

Authors:  J Michael Paterson; J Ivan Williams; Hans J Kreder; Nizar N Mahomed; Nadia Gunraj; Xuesong Wang; Andreas Laupacis
Journal:  Can J Surg       Date:  2010-06       Impact factor: 2.089

6.  [Minimum requirements in total knee replacement. Evidence report and model calculation of the healthcare situation].

Authors:  P Schräder; T Rath
Journal:  Orthopade       Date:  2005-03       Impact factor: 1.087

7.  [Ligament instability in total knee arthroplasty--causal analysis].

Authors:  H Graichen; M Strauch; T Katzhammer; L Zichner; R von Eisenhart-Rothe
Journal:  Orthopade       Date:  2007-07       Impact factor: 1.087

8.  [Experience in orthopaedic surgery with minimum provider volumes].

Authors:  P Schräder; V Ewerbeck
Journal:  Chirurg       Date:  2007-11       Impact factor: 0.955

9.  Demographic and psychosocial predictors of acute perioperative pain for total knee arthroplasty.

Authors:  Maya L Roth; Dean A Tripp; Mark H Harrison; Michael Sullivan; Patricia Carson
Journal:  Pain Res Manag       Date:  2007       Impact factor: 3.037

10.  Early postoperative measures predict 1- and 2-year outcomes after unilateral total knee arthroplasty: importance of contralateral limb strength.

Authors:  Joseph A Zeni; Lynn Snyder-Mackler
Journal:  Phys Ther       Date:  2009-12-03
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