↓ Skip to main content

Psychometric properties of the Arabic version of the confusion assessment method for the intensive care unit (CAM-ICU)

Overview of attention for article published in BMC Psychiatry, April 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
facebook
1 Facebook page

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
63 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Psychometric properties of the Arabic version of the confusion assessment method for the intensive care unit (CAM-ICU)
Published in
BMC Psychiatry, April 2018
DOI 10.1186/s12888-018-1676-0
Pubmed ID
Authors

Maha H. Aljuaid, Ahmad M. Deeb, Maamoun Dbsawy, Daniah Alsayegh, Moteb Alotaibi, Yaseen M. Arabi

Abstract

It is recommended that critically ill patients undergo routine delirium monitoring with a valid and reliable tool such as the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). However, the validity and reliability of the Arabic version of the CAM-ICU has not been investigated. Here, we test the validity and reliability of the Arabic CAM-ICU. We conducted a psychometric study at ICUs in a tertiary-care hospital in Saudi Arabia. We recruited consecutive adult Arabic-speaking patients, who had stayed in the ICU for at least 24 hours, and had a Richmond Agitation-Sedation Scale (RASS) score ≥ - 2 at examination. Two well-trained examiners (ICU nurse and intensivist) independently assessed delirium in eligible patients with the Arabic CAM-ICU. Evaluations by the two examiners were compared with psychiatrist blind clinical assessment of delirium according to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5). Subgroup analyses were conducted for age, invasive mechanical ventilation, and gender. We included 108 patients (mean age: 62.6 ± 17.6; male: 51.9%), of whom 37% were on invasive mechanical ventilation. Delirium was diagnosed in 63% of enrolled patients as per the psychiatrist clinical assessment. The Arabic CAM-ICU sensitivity was 74% (95% confidence interval [CI] = 0.63-0.84) and 56% (95%CI = 0.44-0.68) for the ICU nurse and intensivist, respectively. Specificity was 98% (95%CI = 0.93-1.0) and 92% (95%CI = 0.84-1.0), respectively. Sensitivity was greater for mechanically-ventilated patients, women, and those aged ≥65 years. Specificity was greater for those aged < 65 years, non-mechanically-ventilated patients and men. The median duration to complete the Arabic CAM-ICU was 2 min (interquartile range, 2-3) and 4.5 min (IQR, 3-5) for the ICU nurse and intensivist, respectively. Inter-rater reliability (kappa) was 0.66. The Arabic CAM-ICU demonstrated acceptable reliability and validity to assess delirium in Arabic-speaking ICU patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 14%
Student > Master 8 13%
Student > Postgraduate 4 6%
Other 3 5%
Lecturer > Senior Lecturer 2 3%
Other 11 17%
Unknown 26 41%
Readers by discipline Count As %
Nursing and Health Professions 17 27%
Medicine and Dentistry 10 16%
Psychology 3 5%
Neuroscience 3 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 6%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 May 2021.
All research outputs
#2,604,811
of 24,648,202 outputs
Outputs from BMC Psychiatry
#1,000
of 5,210 outputs
Outputs of similar age
#53,887
of 334,290 outputs
Outputs of similar age from BMC Psychiatry
#26
of 91 outputs
Altmetric has tracked 24,648,202 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,210 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 334,290 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.