Literature DB >> 28631875

Nursing assessment as an effective tool for the identification of delirium risk in older in-patients: A case-control study.

Elena Solà-Miravete1, Carlos López2, Estrella Martínez-Segura3, Mireia Adell-Lleixà4, Maria Eulàlia Juvé-Udina5, Mar Lleixà-Fortuño6.   

Abstract

AIMS AND
OBJECTIVES: To evaluate the usefulness of comprehensive nursing assessment as a strategy for determining the risk of delirium in older in-patients from a model of care needs based on variables easily measured by nurses.
BACKGROUND: There are many scales of assessment and prediction of risk of delirium, but they are little known and infrequently used by professionals. Recognition of delirium by doctors and nurses continues to be limited. DESIGN AND METHODS: A case-control study. A specific form of data collection was designed to include the risk factors for delirium commonly identified in the literature and the care needs evaluated from the comprehensive nursing assessment based on the Virginia Henderson model of care needs. We studied 454 in-patient units in a basic general hospital. Data were collected from a review of the records of patients' electronic clinical history.
RESULTS: The areas of care that were significant in patients with delirium were dyspnoea, problems with nutrition, elimination, mobility, rest and sleep, self-care, physical safety, communication and relationships. The specific risk factors identified as independent predictors were as follows: age, urinary incontinence, urinary catheter, alcohol abuse, previous history of dementia, being able to get out of bed/not being at rest, habitual insomnia and history of social risk.
CONCLUSIONS: Comprehensive nursing assessment is a valid and consistent strategy with a multifactorial model of delirium, which enables the personalised risk assessment necessary to define a plan of care with specific interventions for each patient to be made. RELEVANCE TO CLINICAL PRACTICE: The identification of the risk of delirium is particularly important in the context of prevention. In a model of care based on needs, nursing assessment is a useful component in the risk assessment of delirium and one that is necessary for developing an individualised care regime.
© 2017 John Wiley & Sons Ltd.

Entities:  

Keywords:  delirium; nursing assessment; older in-patients; prediction; risk factors

Mesh:

Year:  2017        PMID: 28631875     DOI: 10.1111/jocn.13921

Source DB:  PubMed          Journal:  J Clin Nurs        ISSN: 0962-1067            Impact factor:   3.036


  4 in total

1.  Applicability of the interventions recommended for patients at risk or with delirium in medical and post-acute settings: a systematic review and a Nominal Group Technique study.

Authors:  Luisa Sist; Nikita Valentina Ugenti; Gloria Donati; Silvia Cedioli; Irene Mansutti; Ermellina Zanetti; Maria Macchiarulo; Rossella Messina; Paola Rucci; Alvisa Palese
Journal:  Aging Clin Exp Res       Date:  2022-04-22       Impact factor: 4.481

2.  Acuity, nurse staffing and workforce, missed care and patient outcomes: A cluster-unit-level descriptive comparison.

Authors:  Maria-Eulàlia Juvé-Udina; Maribel González-Samartino; Maria Magdalena López-Jiménez; Maria Planas-Canals; Hugo Rodríguez-Fernández; Irene Joana Batuecas Duelt; Marta Tapia-Pérez; Mònica Pons Prats; Emilio Jiménez-Martínez; Miquel Àngel Barberà Llorca; Susana Asensio-Flores; Carme Berbis-Morelló; Esperanza Zuriguel-Pérez; Pilar Delgado-Hito; Óscar Rey Luque; Adelaida Zabalegui; Núria Fabrellas; Jordi Adamuz
Journal:  J Nurs Manag       Date:  2020-06-19       Impact factor: 3.325

3.  Profiling Delirium Progression in Elderly Patients via Continuous-Time Markov Multi-State Transition Models.

Authors:  Honoria Ocagli; Danila Azzolina; Rozita Soltanmohammadi; Roqaye Aliyari; Daniele Bottigliengo; Aslihan Senturk Acar; Lucia Stivanello; Mario Degan; Ileana Baldi; Giulia Lorenzoni; Dario Gregori
Journal:  J Pers Med       Date:  2021-05-21

4.  Development and Validation of an Electronic Health Record-Based Machine Learning Model to Estimate Delirium Risk in Newly Hospitalized Patients Without Known Cognitive Impairment.

Authors:  Andrew Wong; Albert T Young; April S Liang; Ralph Gonzales; Vanja C Douglas; Dexter Hadley
Journal:  JAMA Netw Open       Date:  2018-08-03
  4 in total

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