Psychometric evaluation of personal evaluation of transitions in treatment amongst patients with schizophrenia

Abstract

Background: Monitoring the antipsychotic medication adherence of outpatients with schizophrenia has focused majorly on the medication construct of adherence, whilst neglecting its psychosocial construct.

Aim: The aim of this study was to provide the psychometric properties of personal evaluation of transitions in treatment (PETiT).

Setting: This study was conducted at the Neuropsychiatric Hospital, Aro, Abeokuta, Ogun State, Nigeria.

Methods: This is a study of diagnostic accuracy of patients with a diagnosis of schizophrenia. Calculation of the sample size and oversampling was calculated as proposed by Cochrane.

Results: The Cronbach’s α in this study at baseline was 0.82. Intra-class correlation coefficient was 0.81 (p ≤ 0.001). Medication construct was loaded into two factors or components whilst the psychosocial construct was loaded into four factors.

Conclusion: The data depicted here indicated a successful validation and presentation of psychometric properties of PETiT which is self-administered, user friendly, psychometrically sound and sensitive to changes associated with treatment over time.