The Confusion Assessment Method: a systematic review of current usage.

混乱 电流(流体) 梅德林 系统回顾 奇纳 心理信息 重症监护医学 心理干预 医学物理学 自我评估
作者
Leslie A. Wei,Michael A. Fearing,Eliezer J. Sternberg,Sharon K. Inouye
出处
期刊:Journal of the American Geriatrics Society [Wiley]
卷期号:56 (5): 823-830 被引量:505
标识
DOI:10.1111/j.1532-5415.2008.01674.x
摘要

Delirium is a common and serious problem affecting older adults, associated with increased mortality, prolonged hospital stays, increased healthcare costs, higher rates of institutionalization, and decreased functional independence (1). High-risk settings for delirium include the hospital, intensive care, emergency, post-operative, institutional, and terminal care settings (2). Delirium increases hospital costs by at least $2,500 per patient, resulting in over $6.9 billion (2004 USD) in hospital costs each year (2). Despite its adverse impact, delirium remains poorly recognized in clinical practice. The Confusion Assessment Method is a delirium instrument published in 1990 (3), which was created to improve the identification of delirium. The Confusion Assessment Method (CAM) includes an instrument and diagnostic algorithm for identification of delirium (3). Originally developed by literature review and expert consensus, the CAM was validated against the reference standard ratings of geropsychiatrists based on Diagnostic and Statistical Manual for Mental Disorders Third Edition Revised (DSM-IIIR) (4) criteria. The CAM was designed to allow non-psychiatric clinicians to diagnose delirium quickly and accurately following brief formal cognitive testing. The CAM instrument assesses the presence, severity, and fluctuation of 9 delirium features: acute onset, inattention, disorganized thinking, altered level of consciousness, disorientation, memory impairment, perceptual disturbances, psychomotor agitation or retardation, and altered sleep-wake cycle. The CAM diagnostic algorithm is based on four cardinal features of delirium: 1) acute onset and fluctuating course, 2) inattention, 3) disorganized thinking, and 4) altered level of consciousness. A diagnosis of delirium according to the CAM requires the presence of features 1, 2, and either 3 or 4. The CAM demonstrated sensitivities from 94–100%, specificities from 90–95%, positive predictive accuracy of 91– 94%, negative predictive accuracy of 90–100%, interrater reliability ranging from .81–1.00; and convergent agreement with other mental status tests including the Mini-Mental State Examination (MMSE) (5). The Confusion Assessment Method (CAM) Training Manual was developed to facilitate its appropriate use . Because of its accuracy, brevity, and ease of use by clinical and lay interviewers, the CAM has become the most widely used standardized delirium instrument for clinical and research purposes over the past 16 years. The purpose of this article is to provide a systematic review of all original English language articles utilizing the CAM to synthesize its psychometric properties, adaptations, published translations, and clinical and research applications. Strengths and limitations of the articles have been highlighted. Ultimately, it is hoped that this summary will provide a comprehensive overview of the current utility of the CAM, and recommendations for its appropriate use.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
zhangxin完成签到,获得积分10
刚刚
wsh071117完成签到,获得积分10
1秒前
小二郎应助yunlu采纳,获得10
1秒前
1秒前
2秒前
科研通AI6.3应助claude采纳,获得10
2秒前
沉默的雪枫应助terry采纳,获得10
2秒前
yjf完成签到 ,获得积分10
3秒前
3秒前
高高从云完成签到 ,获得积分10
3秒前
linger完成签到 ,获得积分10
3秒前
MOON发布了新的文献求助10
4秒前
负责天问完成签到,获得积分10
4秒前
躺在云上看星星完成签到,获得积分10
4秒前
勿念完成签到,获得积分10
4秒前
WW完成签到,获得积分10
5秒前
唠叨的中道完成签到,获得积分20
5秒前
Underwood111完成签到,获得积分10
5秒前
辉099411发布了新的文献求助10
5秒前
6秒前
小花完成签到 ,获得积分10
6秒前
阿曼尼发布了新的文献求助10
6秒前
SciGPT应助Yoooo采纳,获得10
6秒前
怪默完成签到,获得积分10
6秒前
Darline完成签到 ,获得积分10
7秒前
CuCd完成签到 ,获得积分10
7秒前
倾夕月完成签到,获得积分10
8秒前
二柱子完成签到,获得积分10
8秒前
沉默的婴发布了新的文献求助10
8秒前
che123完成签到,获得积分10
8秒前
Li发布了新的文献求助10
8秒前
黄陈涛完成签到 ,获得积分10
9秒前
9秒前
Marybaby完成签到,获得积分10
9秒前
Heather完成签到,获得积分10
9秒前
英俊的铭应助一一采纳,获得10
9秒前
9秒前
科研通AI6.3应助momo采纳,获得30
9秒前
ying完成签到,获得积分10
9秒前
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
CLSI M07 2024 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7248093
求助须知:如何正确求助?哪些是违规求助? 8870951
关于积分的说明 18714791
捐赠科研通 6927027
什么是DOI,文献DOI怎么找? 3198114
关于科研通互助平台的介绍 2373857
邀请新用户注册赠送积分活动 2172968