Literature DB >> 31112492

Preventing Delirium Takes a Village: Systematic Review and Meta-Analysis of Delirium Preventive Models of Care.

Ariba Khan1, Olga Boukrina2, Mooyeon Oh-Park3, Nina A Flanagan4, Maharaj Singh5, Mark Oldham6.   

Abstract

BACKGROUND: Each hospital day of delirium incurs greater healthcare costs, higher levels of care, greater staff burden, and higher complication rates. Accordingly, administrators are incentivized to identify models of care that reduce delirium rates and associated costs.
PURPOSE: We present a systematic review and meta-analysis of delirium prevention models of care. DATA SOURCES: Ovid MEDLINE, CINAHL, Cochrane Database of Systematic Reviews, EMBASE, and PsycINFO. STUDY SELECTION: Eligible models of care were defined as provider-oriented interventions involving revision of professional roles, multidisciplinary teams, and service integration. Included studies implemented multidomain, multicomponent interventions, used a validated delirium instrument, and enrolled a control group to evaluate efficacy or effectiveness. DATA EXTRACTION: We extracted data on study design, population, model of care, outcomes, and results. DATA SYNTHESIS: A total of 15 studies were included. All but two studies reported reduction in delirium or its duration, and 11 studies reported statistically significant improvements. Using random effects models, the pooled odds ratios of delirium incidence were 0.56 (95% CI: 0.37-0.85) from three randomized controlled trials, 0.63 (95% CI 0.37-1.07) from four pre-post intervention studies, and 0.79 (95% CI: 0.46-1.37) from three additional nonrandomized studies.
CONCLUSIONS: Several models of care can prevent delirium. In general, higher quality studies were more likely to demonstrate statistical significance of an effect. The diverse models of care included here explored interventions adapted to specific care settings, especially by addressing setting-specific delirium risk factors. These care models illustrate a range of promising strategies that deserve growing recognition, refinement, and implementation.

Entities:  

Year:  2019        PMID: 31112492     DOI: 10.12788/jhm.3212

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  4 in total

1.  Predicting Delirium Risk Using an Automated Mayo Delirium Prediction Tool: Development and Validation of a Risk-Stratification Model.

Authors:  Sandeep R Pagali; Donna Miller; Karen Fischer; Darrell Schroeder; Norman Egger; Dennis M Manning; Maria I Lapid; Robert J Pignolo; M Caroline Burton
Journal:  Mayo Clin Proc       Date:  2021-02-10       Impact factor: 7.616

2.  Inter-rater reliability and validity of risk of bias instrument for non-randomized studies of exposures: a study protocol.

Authors:  Maya M Jeyaraman; Nameer Al-Yousif; Reid C Robson; Leslie Copstein; Chakrapani Balijepalli; Kimberly Hofer; Mir S Fazeli; Mohammed T Ansari; Andrea C Tricco; Rasheda Rabbani; Ahmed M Abou-Setta
Journal:  Syst Rev       Date:  2020-02-12

Review 3.  The inter-relationship between delirium and dementia: the importance of delirium prevention.

Authors:  Tamara G Fong; Sharon K Inouye
Journal:  Nat Rev Neurol       Date:  2022-08-26       Impact factor: 44.711

4.  Stratified delirium risk using prescription medication data in a state-wide cohort.

Authors:  Thomas H McCoy; Victor M Castro; Kamber L Hart; Roy H Perlis
Journal:  Gen Hosp Psychiatry       Date:  2021-05-07       Impact factor: 7.587

  4 in total

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