Literature DB >> 22395418

Reducing patient burden to the FACT-Melanoma quality-of-life questionnaire.

Richard J Swartz1, George P Baum, Robert L Askew, Judy Lynn Palmer, Merrick I Ross, Janice N Cormier.   

Abstract

Respondent burden has been defined as the cumulative demand placed on study participants related to the use of questionnaires or measurement instruments. The aim of this study was to reduce respondent burden associated with the Functional Assessment of Cancer Therapy-Melanoma (FACT-M), a melanoma-specific quality-of-life questionnaire, through item reduction using multiple psychometric approaches. Data for this study were pooled from three institutional review board-approved protocols. Poorly performing items were identified through distributional and correlation analyses, confirmatory factor analysis, reliability estimation, and Rasch-based approaches in a developmental dataset, and the reduced scale was assessed in a separate testing cohort. Validity, reliability, goodness of fit, and Rasch-based testing were carried out for both the full and the reduced scales. The clinical characteristics of the development (n=198) and testing (n=204) cohorts were similar. Three items identified through classical psychometric approaches and three items identified by Rasch-based analyses were excluded from the FACT-M subscale. Two additional items were identified for potential reduction but were ultimately maintained due to the adverse consequences to the psychometric integrity of the reduced instrument. The reduced FACT-M module contains 18 items. In addition to psychometric assessment, expert consultation was essential when examining areas of content redundancy and was critical when considering specific items for removal. This methodological approach reduced respondent burden by 25% while maintaining the psychometric integrity of the FACT-M.

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Year:  2012        PMID: 22395418      PMCID: PMC3325644          DOI: 10.1097/CMR.0b013e3283511dbf

Source DB:  PubMed          Journal:  Melanoma Res        ISSN: 0960-8931            Impact factor:   3.599


  18 in total

1.  Measuring quality of life in chronic illness: the functional assessment of chronic illness therapy measurement system.

Authors:  David Cella; Cindy J Nowinski
Journal:  Arch Phys Med Rehabil       Date:  2002-12       Impact factor: 3.966

Review 2.  Quality of life as an outcome measure in surgical oncology.

Authors:  B S Langenhoff; P F Krabbe; T Wobbes; T J Ruers
Journal:  Br J Surg       Date:  2001-05       Impact factor: 6.939

Review 3.  Assessing health status and quality-of-life instruments: attributes and review criteria.

Authors:  Neil Aaronson; Jordi Alonso; Audrey Burnam; Kathleen N Lohr; Donald L Patrick; Edward Perrin; Ruth E Stein
Journal:  Qual Life Res       Date:  2002-05       Impact factor: 4.147

4.  Respondent burden in clinical research: when are we asking too much of subjects?

Authors:  Connie M Ulrich; Gwenyth R Wallen; Autumn Feister; Christine Grady
Journal:  IRB       Date:  2005 Jul-Aug

5.  Classical test theory and item response theory analyses of multi-item scales assessing parents' perceptions of their children's dental care.

Authors:  Ron D Hays; Julie Brown; Lorraine U Brown; Karen L Spritzer; James J Crall
Journal:  Med Care       Date:  2006-11       Impact factor: 2.983

6.  Unsolved problems in evaluating the quality of life of cancer patients.

Authors:  E Ballatori
Journal:  Ann Oncol       Date:  2001       Impact factor: 32.976

Review 7.  Measuring quality of life in patients with melanoma: development of the FACT-melanoma subscale.

Authors:  Janice N Cormier; Latunya Davidson; Yan Xing; Kimberly Webster; David Cella
Journal:  J Support Oncol       Date:  2005 Mar-Apr

8.  Development and validation of a Rasch-derived CES-D short form.

Authors:  Jason C Cole; Adele S Rabin; Tom L Smith; Alan S Kaufman
Journal:  Psychol Assess       Date:  2004-12

9.  Classical Test Theory versus Rasch analysis for quality of life questionnaire reduction.

Authors:  Luis Prieto; Jordi Alonso; Rosa Lamarca
Journal:  Health Qual Life Outcomes       Date:  2003-07-28       Impact factor: 3.186

Review 10.  The Functional Assessment of Chronic Illness Therapy (FACIT) Measurement System: properties, applications, and interpretation.

Authors:  Kimberly Webster; David Cella; Kathleen Yost
Journal:  Health Qual Life Outcomes       Date:  2003-12-16       Impact factor: 3.186

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  3 in total

1.  Reducing respondent burden: validation of the Brief Impact of Vision Impairment questionnaire.

Authors:  Eva K Fenwick; Ryan E K Man; Gwyn Rees; Jill Keeffe; Tien Y Wong; Ecosse L Lamoureux
Journal:  Qual Life Res       Date:  2016-08-24       Impact factor: 4.147

2.  Is surviving enough? Coping and impact on activities of daily living among melanoma patients with lymphoedema.

Authors:  K D Cromwell; Y J Chiang; J Armer; P P Heppner; K Mungovan; M I Ross; J E Gershenwald; J E Lee; R E Royal; A Lucci; J N Cormier
Journal:  Eur J Cancer Care (Engl)       Date:  2015-03-24       Impact factor: 2.520

3.  Update on the psychometric properties and minimal important difference (MID) thresholds of the FACT-M questionnaire for use in treatment-naïve and previously treated patients with metastatic Merkel cell carcinoma.

Authors:  Murtuza Bharmal; Sandra Nolte; Mickaël Henry-Szatkowski; Meliessa Hennessy; Michael Schlichting
Journal:  Health Qual Life Outcomes       Date:  2020-05-19       Impact factor: 3.186

  3 in total

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