Literature DB >> 22262430

Outlier analysis in orthopaedics: use of CUSUM: the Scottish Arthroplasty Project: shouldering the burden of improvement.

Gavin J Macpherson1, Ivan J Brenkel, Rik Smith, Colin R Howie.   

Abstract

National joint registries have become well established across the world. Most registries track implant survival so that poorly performing implants can be removed from the market. The Scottish Arthroplasty Project was established in 1999 with the aim of encouraging continual improvement in the quality of care provided to joint replacement patients in Scotland. This aim has been achieved by using statistics to engage surgeons in the process of audit. We monitor easily identifiable end points of public concern and inform surgeons if they breach our statistical limits and become "outliers." Outlier status is often associated with poor implants, and our methods are therefore applicable for indirect implant surveillance. The present report describes the evolution of our statistical methodology, the processes that we use to promote positive changes in practice, and the improvements in patient outcomes that we have achieved. Failure need not be fatal, but failure to change almost always is. We describe the journey of both the Scottish Arthroplasty Project and the orthopaedic surgeons of Scotland to this realization.

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Year:  2011        PMID: 22262430     DOI: 10.2106/JBJS.K.01010

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  7 in total

Review 1.  Arthroplasty registries around the world: valuable sources of hip implant revision risk data.

Authors:  Richard E Hughes; Aditi Batra; Brian R Hallstrom
Journal:  Curr Rev Musculoskelet Med       Date:  2017-06

2.  Using the CUSUM test to control the proportion of inadequate open biopsies of musculoskeletal tumors.

Authors:  David J Biau; Kurt R Weiss; Rej S Bhumbra; Darin Davidson; Chris Brown; Jay S Wunder; Peter C Ferguson
Journal:  Clin Orthop Relat Res       Date:  2013-03       Impact factor: 4.176

3.  [Early detection of systematic defects by endoprostheses registries].

Authors:  T R Liebs; O Melsheimer; J Hassenpflug
Journal:  Orthopade       Date:  2014-06       Impact factor: 1.087

4.  A Clinical Test to Measure Airborne Microbial Contamination on the Sterile Field During Total Joint Replacement: Method, Reference Values, and Pilot Study.

Authors:  John H Harp
Journal:  JB JS Open Access       Date:  2018-08-24

5.  Dynamic sensor-balanced knee arthroplasty: can the sensor "train" the surgeon?

Authors:  Colin Y L Woon; Kaitlin M Carroll; Stephen Lyman; David J Mayman
Journal:  Arthroplast Today       Date:  2019-04-11

6.  Risk-adjusted cUSUM control charts for shared frailty survival models with application to hip replacement outcomes: a study using the NJR dataset.

Authors:  Alexander Begun; Elena Kulinskaya; Alexander J MacGregor
Journal:  BMC Med Res Methodol       Date:  2019-11-27       Impact factor: 4.615

7.  National operating volume for primary hip and knee arthroplasty in the COVID-19 era: a study utilizing the Scottish arthroplasty project dataset.

Authors:  Liam Z Yapp; Jon V Clarke; Matthew Moran; A Hamish R W Simpson; Chloe E H Scott
Journal:  Bone Jt Open       Date:  2021-03
  7 in total

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