Literature DB >> 17497123

[Is it possible to calculate minimum provider volumes for total knee replacement using routine data? Results of a threshold value analysis of German quality assurance data for inpatient treatment].

P Schräder1, U Grouven, R Bender.   

Abstract

AIM OF THE STUDY: The aim of this study was to calculate, for the first time, minimum provider volumes in total knee replacement using routine German data.
MATERIALS AND METHODS: In patients with primary total knee replacement (TKR), the relationship between hospital volume per year and risk of "insufficient mobility" (primary quality indicator) and "wound infection" (secondary quality indicator) was calculated by means of logistic regression models.
RESULTS: For both indicators, a statistically significant relationship between hospital volume and outcome could be demonstrated. Other risk factors such as age and ASA status also had a significant influence, but did not appear as important confounders. The risk for the secondary quality indicator "infection" decreased constantly with increasing hospital volume, thus the curve was very flat. This supports the hypothesis that high volume hospitals have a higher quality level than low volume hospitals. A threshold value could be calculated. However, the explanation value for hospital volume was too low to derive a threshold level that clearly discriminates between good and bad quality of care. The relationship between the primary quality indicator "insufficient mobility" and hospital volume unexpectedly showed a U-shaped distribution. This questions the concept of a minimum provider volume regulation for primary total knee replacement for the quality indicator "insufficient mobility". Therefore, in this case no quantitative threshold values were calculated.
CONCLUSION: This analysis supports the hypothesis of a volume-outcome relationship in primary total knee replacement. However, a minimum provider volume that clearly discriminates between good and bad quality of care could not be calculated on the basis of these German quality assurance data.

Entities:  

Mesh:

Year:  2007        PMID: 17497123     DOI: 10.1007/s00132-007-1066-7

Source DB:  PubMed          Journal:  Orthopade        ISSN: 0085-4530            Impact factor:   1.087


  12 in total

1.  The use of fractional polynomials to model continuous risk variables in epidemiology.

Authors:  P Royston; G Ambler; W Sauerbrei
Journal:  Int J Epidemiol       Date:  1999-10       Impact factor: 7.196

2.  Disease impact number and population impact number: population perspectives to measures of risk and benefit.

Authors:  R F Heller; A J Dobson
Journal:  BMJ       Date:  2000-10-14

3.  The effect of clustering of outcomes on the association of procedure volume and surgical outcomes.

Authors:  Katherine S Panageas; Deborah Schrag; Elyn Riedel; Peter B Bach; Colin B Begg
Journal:  Ann Intern Med       Date:  2003-10-21       Impact factor: 25.391

4.  Radiological assessment of osteo-arthrosis.

Authors:  J H KELLGREN; J S LAWRENCE
Journal:  Ann Rheum Dis       Date:  1957-12       Impact factor: 19.103

5.  Conventional models overestimate the statistical significance of volume-outcome associations, compared with multilevel models.

Authors:  David R Urbach; Peter C Austin
Journal:  J Clin Epidemiol       Date:  2005-04       Impact factor: 6.437

6.  [Possibilities and limitations of statistical regression models for the calculation of threshold values for minimum provider volumes].

Authors:  Ralf Bender; Ulrich Grouven
Journal:  Z Arztl Fortbild Qualitatssich       Date:  2006

7.  Interval estimation for the difference between independent proportions: comparison of eleven methods.

Authors:  R G Newcombe
Journal:  Stat Med       Date:  1998-04-30       Impact factor: 2.373

8.  The number needed to treat: a clinically useful measure of treatment effect.

Authors:  R J Cook; D L Sackett
Journal:  BMJ       Date:  1995-02-18

9.  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

10.  The volume-outcome relationship: practice-makes-perfect or selective-referral patterns?

Authors:  H S Luft; S S Hunt; S C Maerki
Journal:  Health Serv Res       Date:  1987-06       Impact factor: 3.402

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  10 in total

1.  [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

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

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

Review 3.  [Postoperative complications in trauma surgery].

Authors:  C Josten; C Schmidt
Journal:  Chirurg       Date:  2009-09       Impact factor: 0.955

4.  [Minimum provider volumes in heart surgery].

Authors:  H J Geissler; F Beyersdorf
Journal:  Chirurg       Date:  2007-11       Impact factor: 0.955

5.  [Determining the indication for primary total hip and knee replacement. Results of external quality assurance of over 270,000 primary total hip and knee replacements].

Authors:  P Schräder; O Boy; W Schleiz; R Dienst; C Reinert; V Sänger; H-H Schauwecker; W Siebert; H-P Scharf
Journal:  Orthopade       Date:  2008-10       Impact factor: 1.087

6.  [Effects of minimum volume regulations. Orthopedic and trauma-specific implications].

Authors:  D Stengel
Journal:  Unfallchirurg       Date:  2012-09       Impact factor: 1.000

7.  [Utilization rates of lower extremity prostheses in Germany and Switzerland: A comparison of the years 2005-2008].

Authors:  I Falbrede; M Widmer; S Kurtz; D Schneidmüller; M Dudda; C Röder
Journal:  Orthopade       Date:  2011-09       Impact factor: 1.087

8.  Hospital volume-outcome relationship in total knee arthroplasty: protocol for a systematic review and non-linear dose-response meta-analysis.

Authors:  Tanja Rombey; Käthe Goossen; Jessica Breuing; Tim Mathes; Simone Hess; Rene Burchard; Dawid Pieper
Journal:  Syst Rev       Date:  2020-02-20

9.  Impact of suspending minimum volume requirements for knee arthroplasty on hospitals in Germany: an uncontrolled before-after study.

Authors:  Werner de Cruppé; Annette Ortwein; Rike Antje Kraska; Max Geraedts
Journal:  BMC Health Serv Res       Date:  2020-12-01       Impact factor: 2.655

Review 10.  Hospital volume-outcome relationship in total knee arthroplasty: a systematic review and dose-response meta-analysis.

Authors:  C M Kugler; K Goossen; T Rombey; K K De Santis; T Mathes; J Breuing; S Hess; R Burchard; D Pieper
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2021-09-08       Impact factor: 4.114

  10 in total

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