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European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30: factorial models to Brazilian cancer patients

Overview of attention for article published in Einstein (São Paulo), May 2018
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Title
European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30: factorial models to Brazilian cancer patients
Published in
Einstein (São Paulo), May 2018
DOI 10.1590/s1679-45082018ao4132
Pubmed ID
Authors

Juliana Alvares Duarte Bonini Campos, Maria Cláudia Bernardes Spexoto, Wanderson Roberto da Silva, Sergio Vicente Serrano, João Marôco

Abstract

Objective To evaluate the psychometric properties of the seven theoretical models proposed in the literature for European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30), when applied to a sample of Brazilian cancer patients. Methods Content and construct validity (factorial, convergent, discriminant) were estimated. Confirmatory factor analysis was performed. Convergent validity was analyzed using the average variance extracted. Discriminant validity was analyzed using correlational analysis. Internal consistency and composite reliability were used to assess the reliability of instrument. Results A total of 1,020 cancer patients participated. The mean age was 53.3±13.0 years, and 62% were female. All models showed adequate factorial validity for the study sample. Convergent and discriminant validities and the reliability were compromised in all of the models for all of the single items referring to symptoms, as well as for the "physical function" and "cognitive function" factors. Conclusion All theoretical models assessed in this study presented adequate factorial validity when applied to Brazilian cancer patients. The choice of the best model for use in research and/or clinical protocols should be centered on the purpose and underlying theory of each model.

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 13%
Professor > Associate Professor 5 10%
Student > Master 5 10%
Student > Ph. D. Student 3 6%
Student > Postgraduate 3 6%
Other 6 13%
Unknown 20 42%
Readers by discipline Count As %
Medicine and Dentistry 7 15%
Nursing and Health Professions 4 8%
Agricultural and Biological Sciences 4 8%
Social Sciences 2 4%
Sports and Recreations 2 4%
Other 5 10%
Unknown 24 50%