Literature DB >> 25275655

Validation study of the European Portuguese version of the Confusion Assessment Method (CAM).

Sónia Martins1, Carla Lourenço2, João Pinto-de-Sousa3, Filipe Conceição2, José Artur Paiva4, Mário R Simões5, Lia Fernandes6.   

Abstract

BACKGROUND: The Confusion Assessment Method (CAM) is the most widely used delirium screening instrument. The aim of this study was to evaluate the reliability and validity of the European Portuguese version of CAM.
METHODS: The sample included elderly patients (≥65 years), admitted for at least 48 h, into two intermediate care units (ICMU) of Intensive Medicine and Surgical Services in a university hospital. Exclusion criteria were: score ≤11 on the Glasgow Coma Scale (GCS), blindness/deafness, inability to communicate and to speak Portuguese. For concurrent validity, a blinded assessment was conducted by a psychiatrist (DSM-IV-TR, as a reference standard) and by a trained researcher (CAM). This instrument was also compared with other cognitive measures to evaluate convergent validity. Inter-rater reliability was also assessed.
RESULTS: In this sample (n = 208), 25% (n = 53) of the patients had delirium, according to DSM-IV-TR. Using this reference standard, the CAM had a moderate sensitivity of 79% and an excellent specificity of 99%. The positive predictive value was 95%, indicating a strong ability to confirm delirium with a positive test result, and the negative predictive value was lower (93%). Good convergent validity was also found, in particular with Mini-Mental State Examination (MMSE) (rs = -0.676; p ≤0.01) and Digit Span Test (DST) forward (rs = -0.605; p ≤0.01), as well as a high inter-rater reliability (diagnostic k = 1.00; single items' k between 0.65 and 1.00).
CONCLUSION: Robust results on concurrent and convergent validity and good reliability were achieved. This version was shown to be a valid and reliable instrument for delirium detection in elderly patients hospitalized in intermediate care units.

Entities:  

Keywords:  reliability

Mesh:

Year:  2014        PMID: 25275655     DOI: 10.1017/S1041610214001926

Source DB:  PubMed          Journal:  Int Psychogeriatr        ISSN: 1041-6102            Impact factor:   3.878


  5 in total

1.  Translation and cultural adaptation of the Greek version of the confusion assessment method diagnostic algorithm and the nursing delirium screening scale and their inter-rater reliability: A prospective cohort study.

Authors:  M P Ntalouka; M Bareka; A G Brotis; A Chalkias; K Stamoulis; A Flossos; P Tzimas; E Arnaoutoglou
Journal:  Hippokratia       Date:  2020 Jan-Mar       Impact factor: 0.471

2.  The Reliability and Validity of the Chinese Version of Confusion Assessment Method Based Scoring System for Delirium Severity (CAM-S).

Authors:  Xinchun Mei; Yupeng Chen; Hailin Zheng; Zhongyong Shi; Edward R Marcantonio; Zhongcong Xie; Yuan Shen
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

3.  Regional cerebral oxygen saturation and postoperative delirium in endovascular surgery: a prospective cohort study.

Authors:  Xiaohua Wang; Kunpeng Feng; Haixia Liu; Yanhui Liu; Ming Ye; Guoguang Zhao; Tianlong Wang
Journal:  Trials       Date:  2019-08-14       Impact factor: 2.279

4.  Delirium detection in older acute medical inpatients: a multicentre prospective comparative diagnostic test accuracy study of the 4AT and the confusion assessment method.

Authors:  Susan D Shenkin; Christopher Fox; Mary Godfrey; Najma Siddiqi; Steve Goodacre; John Young; Atul Anand; Alasdair Gray; Janet Hanley; Allan MacRaild; Jill Steven; Polly L Black; Zoë Tieges; Julia Boyd; Jacqueline Stephen; Christopher J Weir; Alasdair M J MacLullich
Journal:  BMC Med       Date:  2019-07-24       Impact factor: 8.775

5.  Risk factors for postoperative delirium in geriatric patients with hip fracture: A systematic review and meta-analysis.

Authors:  Yi-Ming Qi; Ying-Juan Li; Ji-Hong Zou; Xiao-Dong Qiu; Jie Sun; Yun-Feng Rui
Journal:  Front Aging Neurosci       Date:  2022-08-03       Impact factor: 5.702

  5 in total

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