Literature DB >> 23645337

Statistical considerations in the psychometric validation of outcome measures.

Alla Sikorskii1, Philip C Noble.   

Abstract

BACKGROUND: The evaluation of the outcomes of total knee arthroplasty requires measurement tools that are valid, reliable, and responsive to change. However, the accuracy of any outcome measurement is determined by the validity and reliability of the instrument used. To ensure this accuracy, it is imperative that each instrument used in orthopaedics is free of biases leading to inaccurate estimates of treatment effects. WHERE ARE WE NOW?: Many patient-derived outcome instruments have been developed and tested through the application of the standard assessments that form the basis of classical test theory: validity, reliability, and responsiveness. These assessments determine if the instrument reliably measures what it is intended to measure, and if it captures differences among groups of patients or changes over time. WHERE DO WE NEED TO GO?: Thorough evaluation of the outcome instruments used in orthopaedics is a critical prerequisite for the continued improvement of effective patient care. Additional steps of psychometric testing that are sometimes overlooked include testing for differential item functioning (DIF) and the effects of the mode of administration of the outcome instrument. The use of suitable approaches to test for these potential sources of bias would facilitate the development of more robust outcome assessment in research and clinical practice. HOW DO WE GET THERE?: Testing for DIF, including the effects of mode of administration, may be performed using several analytical approaches. This will allow optimal application of each outcome instrument with respect to patient characteristics, time and mode of the administration, and modification, as necessary.

Entities:  

Mesh:

Year:  2013        PMID: 23645337      PMCID: PMC3792291          DOI: 10.1007/s11999-013-3028-1

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  38 in total

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2.  Use of differential item functioning analysis to assess the equivalence of translations of a questionnaire.

Authors:  Morten Aa Petersen; Mogens Groenvold; Jakob B Bjorner; Neil Aaronson; Thierry Conroy; Ann Cull; Peter Fayers; Marianne Hjermstad; Mirjam Sprangers; Marianne Sullivan
Journal:  Qual Life Res       Date:  2003-06       Impact factor: 4.147

3.  Clinical significance of patient-reported questionnaire data: another step toward consensus.

Authors:  Jeff A Sloan; David Cella; Ron D Hays
Journal:  J Clin Epidemiol       Date:  2005-10-13       Impact factor: 6.437

4.  Rapid detection of differential item functioning in assessments of health-related quality of life: The Functional Assessment of Cancer Therapy.

Authors:  Paul K Crane; Laura E Gibbons; Kaavya Narasimhalu; Jin-Shei Lai; David Cella
Journal:  Qual Life Res       Date:  2006-11-17       Impact factor: 4.147

Review 5.  Different approaches to differential item functioning in health applications. Advantages, disadvantages and some neglected topics.

Authors:  Jeanne A Teresi
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

6.  Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  Bryce B Reeve; Ron D Hays; Jakob B Bjorner; Karon F Cook; Paul K Crane; Jeanne A Teresi; David Thissen; Dennis A Revicki; David J Weiss; Ronald K Hambleton; Honghu Liu; Richard Gershon; Steven P Reise; Jin-shei Lai; David Cella
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

Review 7.  Patient-reported outcome measures for the knee.

Authors:  Dean Wang; Morgan H Jones; Mahmoud M Khair; Anthony Miniaci
Journal:  J Knee Surg       Date:  2010-09       Impact factor: 2.757

8.  Rasch analysis of the Western Ontario MacMaster questionnaire (WOMAC) in 2205 patients with osteoarthritis, rheumatoid arthritis, and fibromyalgia.

Authors:  F Wolfe; S X Kong
Journal:  Ann Rheum Dis       Date:  1999-09       Impact factor: 19.103

9.  The value of the Hospital Anxiety and Depression Scale (HADS) for comparing women with early onset breast cancer with population-based reference women.

Authors:  R H Osborne; G R Elsworth; M A G Sprangers; F J Oort; J L Hopper
Journal:  Qual Life Res       Date:  2004-02       Impact factor: 4.147

10.  Differential symptom reporting by mode of administration of the assessment: automated voice response system versus a live telephone interview.

Authors:  Alla Sikorskii; Charles W Given; Barbara Given; Sangchoon Jeon; Mei You
Journal:  Med Care       Date:  2009-08       Impact factor: 2.983

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  2 in total

1.  Psychometric properties of measures of upper limb activity performance in adults with and without spasticity undergoing neurorehabilitation-A systematic review.

Authors:  Shannon Pike; Anne Cusick; Kylie Wales; Lisa Cameron; Lynne Turner-Stokes; Stephen Ashford; Natasha A Lannin
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

2.  Validation of a modified Berger HIV stigma scale for use among patients with hepatitis C virus (HCV) infection.

Authors:  M Elle Saine; Tyler M Moore; Julia E Szymczak; Laura P Bamford; Frances K Barg; Nandita Mitra; Jason Schnittker; John H Holmes; Vincent Lo Re
Journal:  PLoS One       Date:  2020-02-05       Impact factor: 3.240

  2 in total

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