1
|
Spear RA, Martin-Plank L, Crist JD. Preventing delirium in post-acute care. Nurse Pract 2024; 49:1-7. [PMID: 39313835 DOI: 10.1097/01.npr.0000000000000231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/25/2024]
Abstract
ABSTRACT Older adults admitted to post-acute care often are frail with multiple comorbidities, making them particularly vulnerable to developing delirium. The purpose of this quality improvement project was to create, implement, and evaluate an NP-led, evidence-based delirium prevention protocol in a skilled nursing facility (SNF). The incidence of new-onset delirium was assessed pre- and postimplementation; following implementation, no patients were diagnosed with new-onset delirium, and nurses and certified nursing assistants reported changes to their practice. Based on project design, the approximately 42,000 NPs in the US with nursing home or long-term-care facility privileges are optimally positioned to lead SNFs in the prevention of new-onset delirium.
Collapse
|
2
|
Penfold RS, Squires C, Angus A, Shenkin SD, Ibitoye T, Tieges Z, Neufeld KJ, Avelino-Silva TJ, Davis D, Anand A, Duckworth AD, Guthrie B, MacLullich AMJ. Delirium detection tools show varying completion rates and positive score rates when used at scale in routine practice in general hospital settings: A systematic review. J Am Geriatr Soc 2024; 72:1508-1524. [PMID: 38241503 DOI: 10.1111/jgs.18751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/11/2023] [Accepted: 12/16/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND Multiple short delirium detection tools have been validated in research studies and implemented in routine care, but there has been little study of these tools in real-world conditions. This systematic review synthesized literature reporting completion rates and/or delirium positive score rates of detection tools in large clinical populations in general hospital settings. METHODS PROSPERO (CRD42022385166). Medline, Embase, PsycINFO, CINAHL, and gray literature were searched from 1980 to December 31, 2022. Included studies or audit reports used a validated delirium detection tool performed directly with the patient as part of routine care in large clinical populations (n ≥ 1000) within a general acute hospital setting. Narrative synthesis was performed. RESULTS Twenty-two research studies and four audit reports were included. Tools used alone or in combination were the Confusion Assessment Method (CAM), 4 'A's Test (4AT), Delirium Observation Screening Scale (DOSS), Brief CAM (bCAM), Nursing Delirium Screening Scale (NuDESC), and Intensive Care Delirium Screening Checklist (ICDSC). Populations and settings varied and tools were used at different stages and frequencies in the patient journey, including on admission only; inpatient, daily or more frequently; on admission and as inpatient; inpatient post-operatively. Tool completion rates ranged from 19% to 100%. Admission positive score rates ranged from: CAM 8%-51%; 4AT 13%-20%. Inpatient positive score rates ranged from: CAM 2%-20%, DOSS 6%-42%, and NuDESC 5-13%. Postoperative positive score rates were 21% and 28% (4AT). All but two studies had moderate-high risk of bias. CONCLUSIONS This systematic review of delirium detection tool implementation in large acute patient populations found clinically important variability in tool completion rates, and in delirium positive score rates relative to expected delirium prevalence. This study highlights a need for greater reporting and analysis of relevant healthcare systems data. This is vital to advance understanding of effective delirium detection in routine care.
Collapse
Affiliation(s)
- Rose S Penfold
- Edinburgh Delirium Research Group, Ageing and Health and Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, UK
| | | | | | - Susan D Shenkin
- Edinburgh Delirium Research Group, Ageing and Health and Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Temi Ibitoye
- Edinburgh Delirium Research Group, Ageing and Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Zoë Tieges
- School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow, UK
| | - Karin J Neufeld
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | | | - Daniel Davis
- MRC Unit for Lifelong Health and Ageing, UCL, London, UK
| | - Atul Anand
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | | | - Bruce Guthrie
- Advanced Care Research Centre, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Alasdair M J MacLullich
- Edinburgh Delirium Research Group, Ageing and Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| |
Collapse
|
3
|
The Association between Delirium and In-Hospital Falls: A Cross-Sectional Analysis of a Delirium Screening Program. J Aging Res 2023; 2023:1562773. [PMID: 36755624 PMCID: PMC9902156 DOI: 10.1155/2023/1562773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2022] [Revised: 11/09/2022] [Accepted: 01/10/2023] [Indexed: 02/01/2023] Open
Abstract
Methods A cross-sectional study using delirium screening and falls reports was used to measure the association between delirium and falls. All inpatient data from August, 2018, to January, 2020, at a large academic medical center were analyzed. A multivariable logistic regression of 29,655 hospital admissions was used to understand the association between in-hospital delirium and falls. Results Analysis revealed a delirium rate of 12.5% (n = 3,707) of all admissions and 286 (0.9%) admissions with falls; of the falls studied, 37.6% of these patients screened positive for delirium during their admission. Relative to those who screened negative for delirium, admissions that screened positive for delirium had a 2.81 increased odds of falling. Conclusions Delirium and falls are related. This strong association should motivate health systems to look closely at both problems. Falls and delirium can both have immense impacts on the patient and the health system. The powerful association between them provides a window to reduce these additional patient harms. More specifically, a modern delirium screening tool should be used as part of routine risk assessment focused on reducing in-hospital falls.
Collapse
|