Miller Kathryn, Walterfang Mark, Randhawa Sharan, Scholes Amelia, Mocellin Ramon, Velakoulis Dennis
Neuropsychiatry Unit, Level 2, John Cade Building, Royal Melbourne Hospital, Parkville, Vic, Australia.
Aust N Z J Psychiatry. 2007 Aug;41(8):697-704. doi: 10.1080/00048670701449203.
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.
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.
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 x group effect showed lower BATCH scores in memory, orientation, attention, executive function and language in dementia sufferers compared to psychiatric and neurological patient groups.
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.
患有精神健康障碍的患者在认知功能方面常常存在困难。对这一人群的认知评估可能会因精神症状而变得复杂,使得标准的书面和口头评估方法难以实施。在这些情况下,护理人员和相关工作人员对患者日常活动的观察提供了有关认知能力的重要信息来源。为了通过反映认知领域的小标题来记录对患者日常功能的观察,开发了认知与高级功能行为评估工具(BATCH)。在一个神经精神科病房中评估了其通过观察手段衡量认知功能的能力。
连续6个月使用BATCH对76名成年神经精神科住院患者进行评估。BATCH测量归类于10个功能和认知领域下特定行为的频率:定向、注意力/专注力、个人责任、意志、适应、解决问题/判断、执行功能、记忆、语言和视觉空间功能。收集来自常规标准化认知工具(简易精神状态检查表,MMSE;神经精神科病房认知筛查工具,NUCOG)、精神科工具(神经精神科问卷;国家健康结果量表)和功能工具(布里斯托尔日常生活活动量表;巴氏指数)的数据,以确定认知功能对BATCH得分的相对贡献。
发现BATCH总分与NUCOG总分和MMSE总分之间存在很强的相关性。BATCH和NUCOG子领域在所有子量表中均显著相关。BATCH显示出非常高的内部一致性。线性回归分析表明,BATCH得分的最强决定因素是NUCOG所测量的认知功能。一个显著的子量表x组效应表明,与精神科和神经科患者组相比,痴呆患者在记忆、定向、注意力、执行功能和语言方面的BATCH得分较低。
BATCH得分与认知功能的纸笔测量方法密切相关。BATCH为临床医生提供了一种通过行为观察来评估认知功能的方法,从而能够对有行为障碍或严重精神病理学的患者进行评估。该工具在所有观察性精神健康环境中对成年和老年患者都有实际应用价值。