Development and usability of a intelligentized delirium assessment system based on the CAM-ICU
10.3760/j.issn.1674-2907.2014.35.008
- VernacularTitle:智能化 CAM－ICU 谵妄评估系统的研制与可用性研究
- Author:
Meihua JI
1
;
Ying WU
;
Chang POLUN
;
Xu WEI
;
Xin YANG
;
Qian XIAO
Author Information
1. 100069 首都医科大学护理学院
- Keywords:
Delirium assessment system;
CAM-ICU;
Usability
- From:
Chinese Journal of Modern Nursing
2014;20(35):4424-4428
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop a intelligentized delirium assessment system based on the Confusion Assessment Model for Intensive Care Unit ( CAM-ICU ) and test its usability among nurses in the ICU . Methods Through convenient sampling , investigators selected 68 ICU nurses from 3 hospitals in Beijing to participate in this study .Participants tried the new intelligentized system before they filled in the evaluation form named as "Usability analysis of the intelligentized CAM-ICU delirium assessment system interface evaluation questionnaire"which was adapted from the framework of "Technology Acceptance Model".Results Among the 68 ICU nurses, 51.5% had received delirium assessment training prior to the study , 79.4% had cared for delirious patient and 70.6% had actually identified delirious symptoms among the patients they cared in the past.The average score for the items in the questionnaire ranged from 3.4 to 4.0.The scores among nurses who had received delirium assessment training before the study had significant difference compared to the ones who did not (P<0.05).They had perceived that the design of the system was satisfactory , and they were willing to use this system in delirium assessment , and expressed that it could improve their ability in assessing delirium therefore promoted the overall quality nursing care of patients (χ2 =6.28,P =0.012).Conclusions The design of the intelligentized CAM-ICU delirium assessment system is simple to use and easy to operate , especially among those who have had knowledge related to delirium assessment prior to the study .It reflects that this system is useful in identification of delirious patient and can improve the accuracy of delirium diagnosis in the ICU.
