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Quality of Life Research
Gepubliceerd in:

01-02-2014

Testing the measurement equivalence of paper and interactive voice response system versions of the EORTC QLQ-C30

Auteurs: J. Jason Lundy, Stephen Joel Coons, Neil K. Aaronson

Gepubliceerd in: Quality of Life Research | Uitgave 1/2014

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Abstract

Purpose

The objective of this study was to evaluate the measurement equivalence of an interactive voice response system (IVRS) version and the original paper-based version of the EORTC QLQ-C30.

Methods

The QLQ-C30 is a cancer-specific, health-related quality of life questionnaire consisting of nine multi-item scales (physical, role, emotional, cognitive and social functioning, fatigue, nausea/vomiting, pain, and quality of life) and six single item measures (dyspnea, insomnia, appetite loss, constipation, diarrhea, and financial problems). This study utilized a crossover design with subjects randomly assigned to one of two assessment orders: (1) paper then IVRS or (2) IVRS then paper. Equivalence between the two administration modes was established by comparing the 95 % lower confidence interval (CI) of the intraclass correlation coefficients (ICCs) for each scale, with a critical value of 0.70.

Results

The ICCs for the nine multi-item scales were all above 0.79, ranging from 0.791 to 0.899 (ICC 95 % lower CI range 0.726–0.865) and significantly different from our threshold reliability of 0.70. The ICCs for the six single items ranged from 0.689 to 0.896 (ICC 95 % lower CI range 0.611–0.888). Two of the items, insomnia and appetite loss, were not statistically different from 0.70. When considered together, the per-protocol analysis results support the equivalence of the paper and IVRS versions of the QLQ-C30 for 13 of the 15 scores.

Conclusion

This analysis provides evidence that the scores obtained from the IVRS version of the QLQ-C30 are equivalent to those obtained with the original paper version except for the insomnia and appetite loss items.
vorige artikel Difference in method of administration did not significantly impact item response: an IRT-based analysis from the Patient-Reported Outcomes Measurement Information System (PROMIS) initiative
volgende artikel Testing measurement invariance of the patient-reported outcomes measurement information system pain behaviors score between the US general population sample and a sample of individuals with chronic pain
Literatuur
1.
2.
Lipscomb, J., Reeve, B. B., Clauser, S. B., et al. (2007). Patient-reported outcome assessment in cancer trials: Taking stock, moving forward. Journal of Clinical Oncology, 25, 5133–5140.PubMedCrossRef
3.
Osoba, D., Aaronson, N. K., Zee, B., et al. (1997). Modification of the EORTC QLQ-C30 (version 2.0) based on content validity and reliability testing in large samples of patients with cancer. Quality of Life Research, 6, 103–108.PubMedCrossRef
4.
Bottomley, A., & Aaronson, N. K. (2007). International perspective on health-related quality of life research in cancer clinical trials: The European Organization for Research and Treatment of Cancer experience. Journal of Clinical Oncology, 25, 5082–5086.PubMedCrossRef
5.
6.
Bloom, D. E. (1998). Technology, experimentation, and the quality of survey data. Science, 280, 847–848.PubMedCrossRef
7.
Taenzer, P. A., Speca, M., Atkinson, M. J., et al. (1997). Computerized quality-of-life screening in an oncology clinic. Cancer Practice, 5, 168–175.PubMed
8.
Tourangeau, R., & Smith, T. W. (1996). Asking sensitive questions: The impact of data collection mode, question format, and question context. Public Opinion Quarterly, 60, 275–304.CrossRef
9.
Velikova, G., Wright, E. P., Smith, A. B., et al. (1999). Automated collection of quality-of-life data: A comparison of paper and computer touch-screen questionnaires. Journal of Clinical Oncology, 17, 998–1007.PubMed
10.
Bushnell, D. M., Reilly, M. C., et al. (2006). Validation of electronic data capture of the irritable bowel syndrome—Quality of life measure, the work productivity and activity impairment questionnaire for irritable bowel syndrome and the EuroQol. Value Health, 9, 98–105.PubMedCrossRef
11.
Stone, A. A., Shiffman, S., Schwartz, J. E., et al. (2002). Patient noncompliance with paper diaries. BMJ, 324, 1193–1194.PubMedCrossRef
12.
Coons, S. J., Gwaltney, C. J., Hays, R. D., et al. (2009). Recommendations on evidence needed to support measurement equivalence between electronic and paper-based patient-reported outcome (PRO) measures: ISPOR ePRO good research practices task force report. Value Health, 12(4), 419–429.PubMedCrossRef
13.
Crow, J. T. (1986). Receptive vocabulary acquisition for reading comprehension. Modern Languages Journal, 70, 242–250.CrossRef
14.
Henriksen, B. (1999). Three dimensions of vocabulary development. Studies in Second Language Acquisition, 21, 303–317.CrossRef
15.
Abu-Hasaballah, K., James, A., & Aseltine, R. H, Jr. (2007). Lessons and pitfalls of interactive voice response in medical research. Contemporary Clinical Trials, 28, 593–602.PubMedCrossRef
16.
Corkrey, R., & Parkinson, L. (2002). Interactive voice response: review of studies 1989–2000. Behavior Research Methods, Instruments and Computers, 34(3), 342–353.CrossRef
17.
Alemi, F., Stephens, R., Parran, T., et al. (1994). Automated monitoring of outcomes: Application to the treatment of drug abuse. Medical Decision Making, 14, 180–187.PubMedCrossRef
18.
Agel, J., Greist, J. H., Rockwood, T., et al. (2001). Comparison of interactive voice response and written self-administered patient surveys for clinical research. Orthopedics, 24, 1155–1157.PubMed
19.
Juniper, E. F., Scatz, M., Juniper, B. A., & Zeiger, R. (2008). Evaluation of 2 interactive voice-response telephone versions of health-related quality-of-life questionnaires. Journal of Allergy and Clinical Immunology, 122, 654–655.PubMedCrossRef
20.
Lauritsen, K., Degl’ Innocenti, A., Hendel, L., Praest, J., Lytje, M. F., Clemmensen-Rotne, K., et al. (2004). Symptom recording in a randomized clinical trial: Paper diaries vs. electronic or telephone data capture. Controlled Clinical Trials, 25, 585–597.PubMedCrossRef
21.
Weiler, K., Christ, A. M., Woodworth, G. G., Weiler, R. L., & Weiler, J. M. (2004). Quality of patient-reported outcome data captured using paper and interactive voice response diaries in an allergic rhinitis study: Is electronic data capture really better? Annals of Allergy, Asthma & Immunology, 92, 335–339.CrossRef
22.
Wilson, S. J., Rich, A. S., Rich, N. C., Potokar, J., & Nutt, D. J. (2004). Evaluation of actigraphy and automated telephoned questionnaires to assess hypnotic effects in insomnia. International Clinical Psychopharmacology, 19, 77–84.PubMedCrossRef
23.
Aaronson, N. K., Ahmedzai, S., Bergman, B., Bullinger, M., Cull, A., Duez, N. J., et al. (1993). A quality-of-life instrument for use in international clinical trials in oncology. Journal of the National Cancer Institute, 85, 365–376.PubMedCrossRef
24.
Bjordal, K., de Graeff, A., Fayers, P. M., Hammerlind, E., et al. (2000). A 12 country field study of the EORTC QLQ-C30 (version 3.0) and the head and neck cancer specific module (EORTC QLQ-H&N35) in head and neck patients. European Journal of Cancer, 36, 1796–1807.PubMedCrossRef
25.
26.
Lundy, J. J., & Coons, S. J. (2011). Measurement equivalence of interactive voice response and paper versions of the EQ-5D in a cancer patient sample. Value Health, 14, 867–871.PubMedCrossRef
27.
Hills, M., & Armitage, P. (1979). The two period cross-over clinical trial. British Journal of Clinical Pharmacology, 8, 7–20.PubMedCrossRef
28.
Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86, 420–428.PubMedCrossRef
29.
McGraw, K.O., Wong, S.P. (1996). Forming inferences about some intraclass correlation coefficients. Psychological Methods, 1(1), 30–46 (Correction: Vol. 1, No. 4, 390).
30.
Streiner, D. L., & Norman, G. R. (2003). Health measurement scales: A practical guide to their development and use (3rd ed.). New York: Oxford University Press.
Metagegevens
Titel
Testing the measurement equivalence of paper and interactive voice response system versions of the EORTC QLQ-C30
Auteurs
J. Jason Lundy
Stephen Joel Coons
Neil K. Aaronson
Publicatiedatum
01-02-2014
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 1/2014
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-013-0454-1

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