A pilot study testing the iOS UB‐CAM delirium app.

The article discusses research which developed, validated and field tested an Ultra-brief Confusion Assessment Method (UB-CAM), a two-step delirium identification protocol, and an iOS-based UB-CAM app for the iPhone and iPad. The study conducted UB-CAM assessments of patients in the Family-centered...

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Publicado en:Journal of the American Geriatrics Society Vol. 71; no. 6; pp. 1999 - 2003
Autores principales: Kuzmik, Ashley, Hannan, John, Boltz, Marie, Shrestha, Priyanka, Husser, Erica K., Fick, Donna M., Marcantonio, Edward R.
Formato: Artículo
Publicado: Wiley-Blackwell Jun2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1111/jgs.18252
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        atl: A pilot study testing the iOS UB‐CAM delirium app.
      aug:
        au:
          Kuzmik, Ashley
          Hannan, John
          Boltz, Marie
          Shrestha, Priyanka
          Husser, Erica K.
          Fick, Donna M.
          Marcantonio, Edward R.
        affil:
          Ross and Carol Nese College of Nursing, The Pennsylvania State University, University Park Pennsylvania,, USA
          Department of Computer Science & Engineering, The Pennsylvania State University, University Park Pennsylvania,, USA
          School of Nursing, George Washington University, Washington DC,, USA
          Divisions of General Medicine and Gerontology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston Massachusetts,, USA
      su:
        Pennsylvania
        Medical screening
        Qualitative research
        Psychological tests
        Diagnosis of delirium
        Pilot projects
        Field research
        Academic medical centers
        Mobile apps
        Point-of-care testing
        Smartphones
        Inter-observer reliability
        Dementia patients
        Neuropsychological tests
        Descriptive statistics
        Computer-aided diagnosis
        Sensitivity & specificity (Statistics)
        Data analysis software
        Computer operating systems
        Medical needs assessment
        Evaluation
      sug:
        subj:
          Medical screening
          Qualitative research
          Psychological tests
          Pennsylvania
          All Other Miscellaneous Ambulatory Health Care Services
          Software Publishers
          Software publishers (except video game publishers)
          Diagnosis of delirium
          Pilot projects
          Field research
          Academic medical centers
          Mobile apps
          Point-of-care testing
          Smartphones
          Inter-observer reliability
          Dementia patients
          Neuropsychological tests
          Descriptive statistics
          Computer-aided diagnosis
          Sensitivity & specificity (Statistics)
          Data analysis software
          Computer operating systems
          Medical needs assessment
          Evaluation
      ab: The article discusses research which developed, validated and field tested an Ultra-brief Confusion Assessment Method (UB-CAM), a two-step delirium identification protocol, and an iOS-based UB-CAM app for the iPhone and iPad. The study conducted UB-CAM assessments of patients in the Family-centered Function-focused Care cluster randomized trial to screen for delirium. It recorded the amount of time it took the assessment on the UB-CAM app.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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