Internal consistency, sensitivity, specificity and predictive value of the short version of the Zarit Burden Interview-7 scores: systematic review and generalization meta-analysis
Júlia Gisbert-Pérez , Elena Cejalvo , Manuel Martí-Vilar , Laura Badenes-Ribera
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引用次数: 0
Abstract
Objectives
The Zarit Burden Interview (ZBI) is one of the most widely used instruments for assessing caregiver burden. One of the most used short scales of the ZBI is the 7-item version. The aim of the study was to conduct a systematic review and generalization meta-analysis of the reliability and validity of the scores of the short version ZBI-7 items to determine whether they provide average values that justify their application and, secondly, to identify the characteristics of the studies that could explain the heterogeneity among the estimates.
Methods
Forty-eight articles were identified that applied the short version of the ZBI-7, of which only 14 reported a reliability coefficient and 7 reported sensitivity, specificity and predictive values. A random effects model was applied in the statistical analyses.
Results
The average Cronbach's alpha coefficient was 0.866 (95 % CI [0.835, 0.891], k = 15), with high heterogeneity (I2 = 86.4 %). Mean sensitivity was 98.6 % (95 % CI [70.0 %–95.3 %], k = 3), mean specificity was 87.4 % (95 % CI [93.6 %–99.7 %], k = 3), mean positive predictive value was 93.7 % (95 % CI [81.3 %–98.1 %], k = 3), mean negative predictive value was 97.3 % (95 % CI [87.5, 99.4], k = 3).
Conclusions
According to psychometric theory, the ZBI-7 can be considered reliable and valid for exploratory purposes in both research and clinical practice.
期刊介绍:
The Journal of Affective Disorders publishes papers concerned with affective disorders in the widest sense: depression, mania, mood spectrum, emotions and personality, anxiety and stress. It is interdisciplinary and aims to bring together different approaches for a diverse readership. Top quality papers will be accepted dealing with any aspect of affective disorders, including neuroimaging, cognitive neurosciences, genetics, molecular biology, experimental and clinical neurosciences, pharmacology, neuroimmunoendocrinology, intervention and treatment trials.