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Cited by 378

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Psychometric Validation of the Eortc Core Quality of Life Questionnaire, 30-Item Version and A Diagnosis-Specific Module for Head and Neck Cancer Patients

Open access
Bjordal, Kristin, Kaasa, Stein·1992·Acta Oncologica

Abstract

A cancer-specific self-reporting quality of life questionnaire has been validated. The questionnaire is designed to assess physical functioning, role functioning, cognitive functioning, emotional functioning, social functioning, pain, fatigue, emesis and quality of life by means of multi-item scales, and other disease- and treatment-related symptoms by means of single items. The questionnaire was completed by 126 head and neck cancer patients with a mean age of 67 years. The internal consistency (scale reliability) was satisfactory for all scales but one. Correlations between scales and items assessing the same underlying dimension were also satisfactory. The questionnaire discriminates between patient subgroups and between acute, subacute and late toxicity. Patient compliance was high. The questionnaire provided valuable information, and most of the scales/items functioned well. A few problems were found, especially with the modified visual analogue scales, and minor modifications will be made.

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Metadata

Authors
Bjordal, K., & Kaasa, S.
Venue
Acta Oncologica
Published
1992-01
Volume
31
Issue
3
Pages
311-320
ISSN
  • 0284-186X (ISSN-L)
  • 1651-226X
OpenAlex
W1979897536
Cited by
378
References
2
FWCI
3.12
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Psychometric Validation of the Eortc Core Quality of Life Questionnaire, 30-Item Version and A Diagnosis-Specific Module for Head and Neck Cancer Patients. https://app.cochat.ai/papers/10.3109/02841869209108178
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Bjordal, K., & Kaasa, S. (1992). Psychometric Validation of the Eortc Core Quality of Life Questionnaire, 30-Item Version and A Diagnosis-Specific Module for Head and Neck Cancer Patients. Acta Oncologica. https://doi.org/10.3109/02841869209108178

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.