Literature DB >> 24764703

Rasch analysis of the Edmonton Symptom Assessment System and research implications.

O Cheifetz1, T L Packham2, J C Macdermid3.   

Abstract

BACKGROUND: Reliable and valid assessment of the disease burden across all forms of cancer is critical to the evaluation of treatment effectiveness and patient progress. The Edmonton Symptom Assessment System (esas) is used for routine evaluation of people attending for cancer care. In the present study, we used Rasch analysis to explore the measurement properties of the esas and to determine the effect of using Rasch-proposed interval-level esas scoring compared with traditional scoring when evaluating the effects of an exercise program for cancer survivors.
METHODS: Polytomous Rasch analysis (Andrich's rating-scale model) was applied to data from 26,645 esas questionnaires completed at the Juravinski Cancer Centre. The fit of the esas to the polytomous Rasch model was investigated, including evaluations of differential item functioning for sex, age, and disease group. The research implication was investigated by comparing the results of an observational research study previously analysed using a traditional approach with the results obtained by Rasch-proposed interval-level esas scoring.
RESULTS: The Rasch reliability index was 0.73, falling short of the desired 0.80-0.90 level. However, the esas was found to fit the Rasch model, including the criteria for uni-dimensional data. The analysis suggests that the current esas scoring system of 0-10 could be collapsed to a 6-point scale. Use of the Rasch-proposed interval-level scoring yielded results that were different from those calculated using summarized ordinal-level esas scores. Differential item functioning was not found for sex, age, or diagnosis groups.
CONCLUSIONS: The esas is a moderately reliable uni-dimensional measure of cancer disease burden and can provide interval-level scaling with Rasch-based scoring. Further, our study indicates that, compared with the traditional scoring metric, Rasch-based scoring could result in substantive changes to conclusions.

Entities:  

Keywords:  Edmonton Symptom Assessment System; Rasch analysis; esas

Year:  2014        PMID: 24764703      PMCID: PMC3997451          DOI: 10.3747/co.21.1735

Source DB:  PubMed          Journal:  Curr Oncol        ISSN: 1198-0052            Impact factor:   3.677


  21 in total

1.  Impact of palliative care unit admission on symptom control evaluated by the edmonton symptom assessment system.

Authors:  Caterina Modonesi; Emanuela Scarpi; Marco Maltoni; Stefania Derni; Laura Fabbri; Francesca Martini; Elisabetta Sansoni; Dino Amadori
Journal:  J Pain Symptom Manage       Date:  2005-10       Impact factor: 3.612

Review 2.  The Rasch measurement model in rheumatology: what is it and why use it? When should it be applied, and what should one look for in a Rasch paper?

Authors:  Alan Tennant; Philip G Conaghan
Journal:  Arthritis Rheum       Date:  2007-12-15

3.  The use of Rasch analysis to produce scale-free measurement of functional ability.

Authors:  C A Velozo; G Kielhofner; J S Lai
Journal:  Am J Occup Ther       Date:  1999 Jan-Feb

4.  Symptom clusters in patients with advanced cancer: sub-analysis of patients reporting exclusively non-zero ESAS scores.

Authors:  Emily Chen; Janet Nguyen; Gemma Cramarossa; Luluel Khan; Liying Zhang; May Tsao; Cyril Danjoux; Elizabeth Barnes; Arjun Sahgal; Lori Holden; Florencia Jon; Kristopher Dennis; Edward Chow
Journal:  Palliat Med       Date:  2011-08-24       Impact factor: 4.762

Review 5.  Physical exercise and quality of life following cancer diagnosis: a literature review.

Authors:  K S Courneya; C M Friedenreich
Journal:  Ann Behav Med       Date:  1999

6.  The Edmonton Symptom Assessment System (ESAS): a simple method for the assessment of palliative care patients.

Authors:  E Bruera; N Kuehn; M J Miller; P Selmser; K Macmillan
Journal:  J Palliat Care       Date:  1991       Impact factor: 2.250

7.  Longitudinal validation of a modified Edmonton symptom assessment system (ESAS) in haemodialysis patients.

Authors:  Sara N Davison; Gian S Jhangri; Jeffrey A Johnson
Journal:  Nephrol Dial Transplant       Date:  2006-09-06       Impact factor: 5.992

8.  The Edmonton symptom assessment system--what do patients think?

Authors:  Sharon Watanabe; Cheryl Nekolaichuk; Crystal Beaumont; Asifa Mawani
Journal:  Support Care Cancer       Date:  2008-10-25       Impact factor: 3.603

9.  An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS).

Authors:  Julie F Pallant; Alan Tennant
Journal:  Br J Clin Psychol       Date:  2007-03

10.  A review of the reliability and validity of the Edmonton Symptom Assessment System.

Authors:  L A Richardson; G W Jones
Journal:  Curr Oncol       Date:  2009-01       Impact factor: 3.677

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  4 in total

1.  Rasch analysis of the Patient Rated Elbow Evaluation questionnaire.

Authors:  Joshua I Vincent; Joy C MacDermid; Graham J W King; Ruby Grewal
Journal:  Health Qual Life Outcomes       Date:  2015-06-20       Impact factor: 3.186

2.  Exercise facilitators and barriers following participation in a community-based exercise and education program for cancer survivors.

Authors:  Oren Cheifetz; Jan Park Dorsay; Joy C MacDermid
Journal:  J Exerc Rehabil       Date:  2015-02-28

3.  A Prospective Evaluation of Symptom Prevalence and Overall Symptom Burden Among Cohort of Critically Ill Cancer Patients.

Authors:  Mayank Gupta; Malvinder Singh Sahi; A K Bhargava; Vineet Talwar
Journal:  Indian J Palliat Care       Date:  2016 Apr-Jun

4.  The McGill University Health Centre Cancer Pain Clinic: A Retrospective Analysis of an Interdisciplinary Approach to Cancer Pain Management.

Authors:  Jordi Perez; Sara Olivier; Emmanouil Rampakakis; Manuel Borod; Yoram Shir
Journal:  Pain Res Manag       Date:  2016-03-31       Impact factor: 3.037

  4 in total

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