Literature DB >> 18958582

Comparative responsiveness and minimal change for the Oxford Elbow Score following surgery.

Jill Dawson1, Helen Doll, Irene Boller, Ray Fitzpatrick, Christopher Little, Jonathan Rees, Andrew Carr.   

Abstract

PURPOSE: To assess the responsiveness and minimal change for the Oxford Elbow Score (OES) using anchor- and distribution-based approaches.
METHODS: A prospective observational study of 104 patients undergoing elbow surgery at a specialist orthopaedic hospital was carried out. Patients completed the OES and the Disabilities of the Arm, Shoulder and Hand (DASH) questionnaires (both scored on a 0 to 100 scale) pre- and 6 months post-surgery. Transition items (used as anchors) assessed perceived changes following surgery. Indicators of responsiveness were the effect size; the anchor-based minimal clinically important difference (MCID) and best cut-point on the receiver operator characteristic (ROC) curve; and the distribution-based minimal detectable change (MDC).
RESULTS: The three elbow-specific OES scales (Function, Pain, Social-Psychological) produced generally larger effect sizes (0.79, 1.14 and 1.18, respectively) than the upper-limb-specific DASH scale (0.76). Clear associations were observed between transition items and all OES and DASH scores (all r > |0.35|). The MCIDs for the OES Function scale and the DASH were similar (approximately 10), but were larger for the OES Pain and Social-Psychological scales (approximately 18), reflecting their lower (i.e. poorer) baseline scores and larger effect sizes. The MCIDs were, however, only consistently larger than the MDCs for the OES Pain domain. The OES Function scale and the DASH performed similarly on ROC analysis, but with the OES Pain and Social-Psychological scales demonstrating superior efficiency.
CONCLUSIONS: For elbow surgery, the 12-item three-scale OES is highly responsive to 6-month post-operative outcomes, with its performance being generally better than that of the 30-item one-scale DASH. Study estimates of minimal change for the OES may be useful for informing sample size calculations and interpreting outcomes in future clinical trials.

Entities:  

Mesh:

Year:  2008        PMID: 18958582     DOI: 10.1007/s11136-008-9409-3

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  33 in total

Review 1.  Understanding the relevance of measured change through studies of responsiveness.

Authors:  D E Beaton
Journal:  Spine (Phila Pa 1976)       Date:  2000-12-15       Impact factor: 3.468

2.  On assessing responsiveness of health-related quality of life instruments: guidelines for instrument evaluation.

Authors:  C B Terwee; F W Dekker; W M Wiersinga; M F Prummel; P M M Bossuyt
Journal:  Qual Life Res       Date:  2003-06       Impact factor: 4.147

Review 3.  How can quality of life researchers make their work more useful to health workers and their patients?

Authors:  Gordon Guyatt; Holger Schunemann
Journal:  Qual Life Res       Date:  2007-05-26       Impact factor: 4.147

Review 4.  Recommended methods for determining responsiveness and minimally important differences for patient-reported outcomes.

Authors:  Dennis Revicki; Ron D Hays; David Cella; Jeff Sloan
Journal:  J Clin Epidemiol       Date:  2007-08-03       Impact factor: 6.437

5.  Sensitivity to change of the Roland-Morris Back Pain Questionnaire: part 2.

Authors:  D L Riddle; P W Stratford; J M Binkley
Journal:  Phys Ther       Date:  1998-11

Review 6.  Health status measures: strategies and analytic methods for assessing change scores.

Authors:  P W Stratford; J M Binkley; D L Riddle
Journal:  Phys Ther       Date:  1996-10

7.  Assessing the responsiveness of functional scales to clinical change: an analogy to diagnostic test performance.

Authors:  R A Deyo; R M Centor
Journal:  J Chronic Dis       Date:  1986

8.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

9.  Assessing stability and change of four performance measures: a longitudinal study evaluating outcome following total hip and knee arthroplasty.

Authors:  Deborah M Kennedy; Paul W Stratford; Jean Wessel; Jeffrey D Gollish; Dianne Penney
Journal:  BMC Musculoskelet Disord       Date:  2005-01-28       Impact factor: 2.362

Review 10.  Multidisciplinary rehabilitation programmes following joint replacement at the hip and knee in chronic arthropathy.

Authors:  F Khan; L Ng; S Gonzalez; T Hale; L Turner-Stokes
Journal:  Cochrane Database Syst Rev       Date:  2008-04-16
View more
  36 in total

1.  Oxford elbow scores in an asymptomatic population.

Authors:  P M Guyver; A E Cattell; M J Hall; M D Brinsden
Journal:  Ann R Coll Surg Engl       Date:  2013-09       Impact factor: 1.891

2.  Statistics In Brief: Minimum Clinically Important Difference-Availability of Reliable Estimates.

Authors:  Mitchell Maltenfort; Claudio Díaz-Ledezma
Journal:  Clin Orthop Relat Res       Date:  2017-01-03       Impact factor: 4.176

3.  Assessing the amount of change in an outcome measure is not the same as assessing the importance of change.

Authors:  Paul W Stratford; Daniel L Riddle
Journal:  Physiother Can       Date:  2013       Impact factor: 1.037

Review 4.  Stakeholders in outcome measures: review from a clinical perspective.

Authors:  Mark R Brinker; Daniel P O'Connor
Journal:  Clin Orthop Relat Res       Date:  2013-11       Impact factor: 4.176

5.  What is the minimum clinically important difference in grip strength?

Authors:  Jae Kwang Kim; Min Gyue Park; Sung Joon Shin
Journal:  Clin Orthop Relat Res       Date:  2014-05-10       Impact factor: 4.176

6.  Revision total elbow arthroplasty with the linked Coonrad-Morrey total elbow arthroplasty: a retrospective study of twenty procedures.

Authors:  Hans Christian Plaschke; Theis Thillemann; Anne Kathrine Belling-Sørensen; Bo Olsen
Journal:  Int Orthop       Date:  2013-02-19       Impact factor: 3.075

7.  Dislocation of the elbow: a retrospective multicentre study of 86 patients.

Authors:  Jeroen de Haan; Niels W L Schep; Imme Zengerink; Jesse van Buijtenen; Wim E Tuinebreijer; Dennis den Hartog
Journal:  Open Orthop J       Date:  2010-02-17

8.  The minimal clinically important difference after simple decompression for ulnar neuropathy at the elbow.

Authors:  Sunitha Malay; Kevin C Chung
Journal:  J Hand Surg Am       Date:  2013-03-06       Impact factor: 2.230

9.  Long-term outcome after ulnar osteotomy for missed Monteggia fracture dislocation in children.

Authors:  Ole Rahbek; Søren Rasmussen Deutch; Søren Kold; Jens Ole Søjbjerg; Bjarne Møller-Madsen
Journal:  J Child Orthop       Date:  2011-10-16       Impact factor: 1.548

Review 10.  Measurement scales in clinical research of the upper extremity, part 2: outcome measures in studies of the hand/wrist and shoulder/elbow.

Authors:  Marie Badalamente; Laureen Coffelt; John Elfar; Glenn Gaston; Warren Hammert; Jerry Huang; Lisa Lattanza; Joy Macdermid; Greg Merrell; David Netscher; Zubin Panthaki; Greg Rafijah; Douglas Trczinski; Brent Graham
Journal:  J Hand Surg Am       Date:  2013-02       Impact factor: 2.230

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.