Validity and Reliability of the Behavioural Assessment Tool for Cognition and Higher Function (BATCH) in Neuropsychiatric Patients

Author:

Miller Kathryn12,Walterfang Mark12,Randhawa Sharan12,Scholes Amelia12,Mocellin Ramon12,Velakoulis Dennis12

Affiliation:

1. Neuropsychiatry Unit, Level 2, John Cade Building, Royal Melbourne Hospital, Parkville, Vic, 3050, Australia

2. Melbourne Neuropsychiatry Centre, University of Melbourne, Parkville, Victoria, 3052, Australia

Abstract

Objective: Patients with mental health disorders frequently have difficulties with their cognitive functioning. Assessment of cognition in this population can be complicated by psychiatric symptomatology, making standard written and verbal assessment methods difficult. In these situations, observations by nursing and allied staff of patients’ routine activities provide an important source of information about cognitive ability. The Behavioural Assessment Tool for Cognition and Higher Function (BATCH) was developed to record observations of patients’ daily functioning under subheadings that reflect cognitive domains. Its capacity to provide a measure of cognitive function through observational means was assessed in a neuropsychiatric unit. Method: A consecutive sample of 76 adult neuropsychiatry inpatients were assessed over 6 months using BATCH. BATCH measures the frequency of given behaviours grouped under 10 functional and cognitive domains: orientation, attention/concentration, personal responsibility, volition, adaptation, problem-solving/judgement, executive function, memory, language, and visuospatial function. Data from routine standardized cognitive (Mini-Mental Status Examination, MMSE; Neuropsychiatry Unit Cognitive Screening Tool, NUCOG), psychiatric (Neuropsychiatric Inventory; Health of the Nation Outcome Scale) and functional (Bristol Activities of Daily Living Scale; Barthel Index) instruments were collected to determine the relative contribution of cognitive function to scores on the BATCH. Results: A strong correlation was found between total BATCH scores and total NUCOG and MMSE scores. BATCH and NUCOG subdomains correlated significantly in all subscales. BATCH demonstrated very high internal consistency. Linear regression analysis showed that the strongest determinant of BATCH scores was cognitive function as measured on the NUCOG. A significant subscale×group effect showed lower BATCH scores in memory, orientation, attention, executive function and language in dementia sufferers compared to psychiatric and neurological patient groups. Conclusion: BATCH scores correlated strongly with pencil-and-paper measures of cognitive function. BATCH provides clinicians with a means of assessing cognitive function through behavioural observation, thus enabling assessment of patients with behavioural disturbance or severe psychopathology. This tool has practical application for adult and aged clients across all observational mental health settings.

Publisher

SAGE Publications

Subject

Psychiatry and Mental health,General Medicine

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