title: The Development and Evaluation of Delirium Assessment and Nursing Care Decision-Making Assistant Mobile Application for Intensive Care Unit.
abstract: Delirium is a common complication among patients in ICU settings. Although it has been repeatedly confirmed that Confusion Assessment Model for Intensive Care Unit (CAM-ICU), one of the most commonly used ICU delirium assessment tool, is highly accurate in validation studies, it's sensitivity and specificity is relatively low during routine practice among bedside nurses. The aim of this study is to develop a mobile application (app) to detect delirium and to test its reliability and validity both by research nurses and among ICU bedside nurses. The app was programmed with Java and installed on a mobile device with Android system. After completion of reliability and validity testing, the app will be integrated into the existing Hospital Information System in order to automatically retrieve essential information for risk factor identification and formulation of care plan accordingly to prevent or manage ICU delirium.
authors.affiliation: School of Nursing, Capital Medical University, Beijing, China.
authors.forename: Fangyu
authors.initials: F
authors.lastname: Yang
authors.affiliation: School of Nursing, Capital Medical University, Beijing, China.
authors.forename: Meihua
authors.initials: M
authors.lastname: Ji
authors.affiliation: School of Nursing, Capital Medical University, Beijing, China.
authors.forename: Shu
authors.initials: S
authors.lastname: Ding
authors.affiliation: School of Nursing, Capital Medical University, Beijing, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Wu
authors.affiliation: Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
authors.forename: Polun
authors.initials: P
authors.lastname: Chang
authors.affiliation: Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
authors.forename: Chiawei
authors.initials: C
authors.lastname: Lin
authors.affiliation: The First Clinical Nursing Teaching Department, School of Nursing, Capital Medical University, Beijing, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Yang
mesh_terms: D064648:Critical Care Nursing / Q000379:methods*; D020000:Decision Support Systems, Clinical / Q000458:organization & administration*; D003693:Delirium / Q000175:diagnosis* / Q000628:therapy; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D057286:Electronic Health Records / Q000458:organization & administration; D006801:Humans; D007362:Intensive Care Units; D063731:Mobile Applications; D009733:Nursing Diagnosis / Q000379:methods; D009737:Nursing Records; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017216:Telemedicine / Q000458:organization & administration*; D014584:User-Computer Interface