A contribution to the validation of the Needs Evaluation Questionnaire (NEQ): a study in the Italian context
Article first published online: 19 NOV 2008
Copyright © 2008 John Wiley & Sons, Ltd.
Volume 18, Issue 5, pages 549–553, May 2009
How to Cite
Annunziata, M. A., Muzzatti, B. and Altoè, G. (2009), A contribution to the validation of the Needs Evaluation Questionnaire (NEQ): a study in the Italian context. Psycho-Oncology, 18: 549–553. doi: 10.1002/pon.1445
- Issue published online: 27 APR 2009
- Article first published online: 19 NOV 2008
- Manuscript Accepted: 3 AUG 2008
- Manuscript Revised: 1 AUG 2008
- Manuscript Received: 29 MAR 2008
- confirmatory factor analysis;
- patients' psycho-emotional support
Background and object: An accurate assessment of patients' needs is a core point in improving treatment adherence, satisfaction, and quality of life of care receivers. The Needs Evaluation Questionnaire (NEQ) is a practical and short instrument designed to record hospitalized patients' necessities. The present paper is a contribution to its factorial definition, useful in enhancing the understanding of NEQ psychometric properties and in supporting its use in research as well as in current practice.
Method: Six hundred consecutive hospitalized cancer patients completed the NEQ together with a form for the collection of personal identification and clinical data. The initial sample was randomly split into two subsamples, and we then conducted: (1) an exploratory factor analysis (EFA) on Subsample 1; (2) a confirmatory factor analysis (CFA) of the factor structure resulting from EFA on Subsample 2; (3) a comparison between the factor structure resulting from CFA and a unidimensional factor solution.
Results and conclusions: EFA revealed the presence of five factors (i.e. informative needs, needs related to assistance/care, relational needs, needs for psychoemotional support, and material needs) explaining a total of 50.5% of the variance. CFA confirmed the validity of the correlated five-factor solution emerging from EFA, demonstrating how the theoretical model provided a good fit to the observed data. Finally, we demonstrated that the five-factor solution was more appropriate in the reconstruction of the observed data than the unidimensional factor solution. According to the present data and despite the limitations raised, using NEQ as a five-factor questionnaire is functional and recommendable. Copyright © 2008 John Wiley & Sons, Ltd.