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

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.