Loading [Contrib]/a11y/accessibility-menu.js
1.
Azizi Z, O’Regan N, Dukelow T, et al. Informal judgement of delirium status underestimates delirium prevalence: World Delirium Awareness Day point prevalence results from Ireland. Delirium Communications. Published online June 4, 2024. doi:10.56392/001c.92222
Download all (7)
  • Figure 1. a) Participating wards across Ireland b) Percentage distribution of different ward types
  • Figure 2. Delirium prevalence in patients, grouped by the use of delirium assessment tools
  • Figure 3. Delirium prevalence in patients, grouped by wards’ specialty and the use of a formal tool or personal judgment on the ward, showing greater delirium prevalence with formal tools across all ward-types (in this figure, only data from assessed patients was included; for all the data, please see Supplementary Figure S2, Figure S3)
  • Figure 4. Odds Ratio (OR) for delirium prevalence with 95% confidence intervals based on predictors (n=5, 676). ORs to the left of the dashed line signify lower odds of delirium prevalence and ORs to the right signify increased odds of delirium prevalence, with general medical wards set as the reference in the model. *p ≤ 0.05; **p ≤ 0.01
  • Figure S1. Delirium data, including assessed, delirious, non-delirious, and untestable patients on March 15th, 2023, at 8 a.m. in the morning and 8 p.m. in the evening.
  • Figure S2. Delirium prevalence in patients, grouped by the type of the ward (for any method of delirium assessment).
  • Figure S3. Delirium prevalence in patients, grouped by the type of the ward (using data from wards which used formal assessment only).

Abstract

Introduction

Delirium is an encephalopathy characterized by acute onset, fluctuation, and prominent deficits in attention and alertness, due to one or more physical disorders, interventions or medications. It is associated with increased mortality and morbidity, and with incidence and worsening of dementia; thus, delirium prevention and timely detection and appropriate management are crucial.

Objective

This study aimed to determine delirium prevalence in Irish clinical sites.

Methods

The overall study was an observational, cohort study of the point prevalence of delirium (and current delirium practice) in multiple clinical sites on a single day (i.e. World Delirium Awareness Day, March 2023). In this study, the point prevalence of delirium is reported in Irish sites.

Results

In total, 132 wards from 15 hospitals across Ireland participated in this study, including general medical, surgical and specialised wards, and some long-term care and rehabilitation wards. Overall, 27% of patients on wards which reported using a formal tool had not been assessed for delirium. Delirium prevalence, using a formal assessment tool, was 15.9% overall, with the highest rate in geriatric wards (20.5%). However, on wards where ‘personal judgment’ to detect delirium was utilized, the prevalence rate was 11.5%, implying that delirium may have been under-detected on these wards.

Conclusions

Delirium screening can quickly rule out delirium or lead to more formal assessment where screening is positive or equivocal. Delirium is prevalent in Irish hospitals and appears to be under-detected unless a formal screening tool is used; equally, delirium screening is not universally applied on wards reporting that they use a formal tool. Together, this indicates that delirium is still under-diagnosed in Irish hospitals.

Background

Delirium is an acute neuropsychiatric disorder characterised by an acute onset, fluctuation, deficits in attention, and other cognitive impairments.1 It is defined by reduced ability to focus, sustain, or shift attention and altered (increased or decreased) alertness.2 Causes of delirium vary considerably and may include substance withdrawal, infection, metabolic derangements, and surgery.2 The estimated pooled occurrence is 23% amongst adults admitted onto acute medical or geriatric wards,3 25% after stroke, 6-74% in palliative care wards,4 up to 50% in postoperative patients,5,6 and up to 89% in Intensive Care Units (ICU).7 Older patients are most frequently impacted by delirium, with delirium present in 11-25% of older general medical patients on admission to hospitals,8–10 and up to 42% during hospital admission.11–13

In Ireland, a national delirium algorithm (last updated in 2021) states that patients older than 65 presenting to emergency departments (ED) or acute medical assessment units (AMAU) should be screened for delirium,14 using a formal assessment tool, the 4AT. This result should be checked on inpatient transfer, and performed if either missed or performed more than 48 hours previously (ward delirium algorithm; last updated in 2021). In Ireland’s second round of the National Audit of Dementia Care (INAD-2), conducted in 2019, only 19% of patients with known dementia (who are at particularly high risk of delirium) received any delirium screening during hospital admission. This was worse than in 2013,15 indicating a need to improve the national implementation effort.

World Delirium Awareness Day takes place each year in March. In 2023, a global survey was conducted across multiple countries to examine delirium prevalence, outline ward practices for delirium prevention, assessment and management, and describe the barriers to improvement (Start | wdad-study.center). We report prevalence data from Irish hospitals, representing more sites than participated in the national dementia audits.

Methods

Participants

We included patients in clinical sites in the Republic of Ireland, including acute hospitals, residential care facilities, and inpatient rehabilitation units. No direct patient data, only pooled ward data, were collected. The survey respondents (i.e. participants) were clinical or research staff who acted as data collectors and completed the online survey (one per ward).

Data Collection and Sharing

On a standardised paper-based collection sheet, hospital-level data included the a) number of beds and b) affiliation (e.g. university-linked, private, etc). Unit/ward-based data included a) patient age category (paediatric, adult, over-75, mixed), b) main discipline of the ward (e.g. medical/surgical, etc), c) ward type (e.g. ICU, general ward etc), and d) number of beds. Delirium-specific data included verbal reports of delirium assessments performed on the ward/unit (multiple formal tools listed, with an option for none, other tool, and personal judgement).

On World Delirium Awareness Day (WDAD; 15th March 2023), the participants visited each participating ward twice, at 8AM +/- 4 hours and 8PM +/- 4 hours and interviewed the ward managers who reported the delirium point-prevalence on the ward (number with and without delirium, and number with uncertain delirium status, mostly due to not having been tested, though some were known to be untestable - e.g. due to aphasia), based on the ward’s usual clinical practice for delirium detection. We excluded data from wards where the total number of reported patients (delirious and non-delirious) exceeded the total number of ward beds (two wards for 8PM data and one for 8AM data). The paper-based data was entered into the global online survey within 3 days of WDAD, i.e., by midnight on 18th March 2023. The Irish data were retrieved separately using a pre-determined code.

Ethical approval

Kiel University in Germany granted ethics permission for the worldwide study (AZ_D 519/22_Aug 22). The Clinical Research Ethics Committee of the Cork Teaching Hospitals gave ethics permission for secondary data analysis of Irish data (ECM 4 (n) 13/12/2022).

Data analysis

We used R, version 4.2.016 for all analyses. Nominal data were reported as percentages; the numerator/denominator value was also reported whenever this was less than 90% of the total data set. To compare categorical data between distinct groups, chi-square tests were performed. In addition, we examined the association between delirium prevalence and ward or hospital characteristics using generalised logistic mixed-effect models by glmer in the lme4 package (family = binomial),16 with delirium prevalence as the dependent variable, and ward speciality, time points, and hospital/ward factors as predictors. Statistical significance level was set at 95% (p < 0.05).

Results

In total, 132 wards from 15 hospitals across the Republic of Ireland participated; the South-Southwest hospital group was predominant (Supplementary Figure 1). The size of the participating hospitals varied, from <250 beds (20.5%) to >750 beds (17.4%). Most were university-linked (92%), while four were rehabilitation or long-term care hospitals. Wards were diverse, most commonly either medical or mixed medical-surgical (including one oncology ward), geriatric wards, and intensive care units. A smaller number were EDs or AMAUs (combined as ED/AMAU), and surgical wards. There were few long care wards (n=7), rehabilitation wards (n=5) or transitional care (step-down) wards (n=1); combined as non-acute wards.

In total, 59.8% of wards used personal judgment for delirium assessment, while 26.5% used 4AT, and a few used CAM-ICU (7.6%), NU-DESC (0.8%) or any other formal tools (5.3%). Delirium data included the number of assessed patients, those delirious/not, and those who were untestable (e.g., aphasia) or had an unclear result (dementia affecting performance), at 8AM and 8PM. The data did not vary between these two-time points, so we combined them (Supplementary Figure 2). Delirium status unavailability was different when using personal judgment (8.9%, 304/3497) versus formal tools (26.7%, 600/2249) (p<0.001) (Figure 1), showing that formal tools were not always used where this was reportedly normal practice. Excluding those not assessed at all, a formal tool determined that 15.9% (222/1395) had delirium, compared with 11.5% prevalence (348/3018) when only personal judgment was used (p<0.001). While personal judgment can be easily applied, it appears to miss cases (Figure 1).

Figure 1
Figure 1.a) Participating wards across Ireland b) Percentage distribution of different ward types

The prevalence of delirium also varied based on ward type. While more than half of patients assessed with a formal tool (54.2%; 26/48) were diagnosed as having delirium in non-acute wards (noting the small sample size), this was only 9.6% (24/249) in intensive care wards, 14.2% (35/246) in general surgical wards, and 20.4% (22/108) in the ED/AMAU. Using a formal assessment tool, 13.4% (70/524) and 20.5% (45/220) of patients in general medical/mixed medical-surgical wards and in geriatrics wards, respectively, were identified as delirious (Supplementary Figure 3).

The association between delirium prevalence and: using a formal assessment tool; ward specialty; time points (8AM/8PM); and number of beds in the ward/hospital is reported in Figure 2 and Supplementary Table S1. The prevalence of delirium was higher when using a formal tool for assessment, while non-acute wards reported fewer delirium cases when general medical wards were set as the reference in the model. Other predictors did not show any association.

Figure 2
Figure 2.Delirium prevalence in patients, grouped by the use of delirium assessment tools
Figure 3
Figure 3.Delirium prevalence in patients, grouped by wards’ specialty and the use of a formal tool or personal judgment on the ward, showing greater delirium prevalence with formal tools across all ward-types (in this figure, only data from assessed patients was included; for all the data, please see Supplementary Figure S2, Figure S3)
Figure 4
Figure 4.Odds Ratio (OR) for delirium prevalence with 95% confidence intervals based on predictors (n=5, 676). ORs to the left of the dashed line signify lower odds of delirium prevalence and ORs to the right signify increased odds of delirium prevalence, with general medical wards set as the reference in the model. *p ≤ 0.05; **p ≤ 0.01

Discussion

This is the first Irish study to assess the prevalence of delirium in multiple hospital wards in multiple hospitals over a single day. Delirium prevalence was 12.9% in the entire sample and 15.9% in the sub-sample where a formal assessment tool was used.

While early and precise detection of delirium enables early intervention and treatment of the underlying cause,17 it is reported that up to 80% of delirium is undetected by healthcare professionals.18 This finding was replicated in more recent studies and a wide range of facilities, including an acute hospital (72%),19 emergency departments (84.6)18 and palliative care centres (61%).20 Under-detection of delirium may occur for a number of reasons; symptoms are heterogeneous and transient,13,21 and diagnosis is subjective, relying on clinical skills in the absence of a objective ‘test’.22,23 Our findings mirror these results as formal assessment was associated with higher detection, although this could be confounded by wards where delirium is more common being more likely to implement formal assessment. Of concern, 26.7% of patients did not receive any delirium assessment on wards reportedly using a formal assessment tool. The issues that lead to the non-performance of delirium screening need to be explored further.

In high-income countries, the prevalence of delirium in general medical wards is between 18-35%, and 17% in surgical wards.17 The prevalence of delirium in our findings was lower than in a prior single site point prevalence investigation in Ireland (15.9% [in our formally assessed patients only] vs. 19.6%).12 However, that latter study used a highly systematic multi-step screening process of all adult in-patients, with initial high-sensitivity and low-specificity screening by junior doctors, followed by more in-depth assessment by more senior staff, and then formal diagnosis by highly trained experts. A prior multihospital study in the UK had reported delirium prevalence to be 14.7%24 among in-patients aged 65 years and older screened using the 4AT by the study team, a finding very similar to ours.

The rate of delirium across ward types was different. Using formal assessment, non-acute wards had the highest prevalence, compared with much lower reports in rehabilitation hospitals (14.0%).11 However, these differences may be confounded by study assessment methods not being directly comparable. We note that previous reports suggest that delirium in non-acute wards is common, but with estimated prevalence ranging between 1.4% and 70%, depending on diagnostic criteria and the prevalence of dementia25–27; equally, care workers often fail to recognise it.26 Our findings showed that when delirium was formally assessed, prevalence in geriatrics wards was lower than the previous single site point prevalence study (53%),12 noting a very small sample size (n=15 patients in the geriatric ward) but more rigorous detection methods in that previous study. Other studies reported the prevalence of delirium in geriatric wards ranging from 20% to 30%,11,24,28 similar to ours.

The strengths of the present study include the large sample and the inclusion of more than 130 wards from different settings across Ireland. This study has certain limitations. In this study, the South-Southwest hospital group in Ireland was predominantly represented, possibly due to the existence of a dementia quality improvement steering committee in this group, or the senior author’s clinical post (acting as a study champion). Additionally, the study did not collect patient data, limiting reporting of the prevalence of delirium based on patient characteristics. Finally, the study relied on reports from busy clinical staff, which were not checked for accuracy, and many wards did not have formal delirium screening in situ, limiting the sample size for tool-detected delirium.

The reported prevalence of delirium in Irish hospitals on wards that used a formal assessment tool was 15.9%, with the highest prevalence in geriatric wards (20.5%). Where formal assessment tools were used on a ward, the rate of known delirium was higher, but more than a quarter of patients on these wards were not assessed and a further 11% were indeterminate or untestable, also indicating missed cases. Thus, we must conclude that delirium remains significantly under-detected as yet in Irish hospitals.


Statements and Declarations

The authors have no competing interests to declare.

Author contributions

ST and NO’R contributed to the study conception and design. Data collection was performed by ST, NO’R, TD, TB, EH, CD, IC, MC, SO’R, CN and EW and analysis by ZA. The first draft of the manuscript was written by ZA and ST and all authors commented on this version of the manuscript. All authors read and approved the final manuscript.

Accepted: January 12, 2024 CEST

References

1.
American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders. American Psychiatric Association; 2013. doi:10.1176/appi.books.9780890425596
Google Scholar
2.
Echeverría M de LR, Schoo C, Paul M, Doerr C. Delirium (Nursing). In: StatPearls [Internet]. StatPearls Publishing; 2022.
Google Scholar
3.
Gibb K, Seeley A, Quinn T, et al. The consistent burden in published estimates of delirium occurrence in medical inpatients over four decades: a systematic review and meta-analysis study. Age Ageing. 2020;49(3):352-360. doi:10.1093/ageing/afaa040
Google ScholarPubMed CentralPubMed
4.
Webber C, Watt CL, Bush SH, Lawlor PG, Talarico R, Tanuseputro P. The occurrence and timing of delirium in acute care hospitalizations in the last year of life: A population-based retrospective cohort study. Palliat Med. 2020;34(8):1067-1077. doi:10.1177/0269216320929545
Google Scholar
5.
Vasilevskis EE, Han JH, Hughes CG, Ely EW. Epidemiology and risk factors for delirium across hospital settings. Best Pract Res Clin Anaesthesiol. 2012;26(3):277-287. doi:10.1016/j.bpa.2012.07.003
Google ScholarPubMed CentralPubMed
6.
Card E, Tomes C, Lee C, et al. Emergence from general anaesthesia and evolution of delirium signs in the post-anaesthesia care unit. Br J Anaesth. 2015;115(3):411-417. doi:10.1093/bja/aeu442
Google ScholarPubMed CentralPubMed
7.
Devlin JW, Fong JJ, Fraser GL, Riker RR. Delirium assessment in the critically ill. Intensive Care Med. 2007;33(6):929-940. doi:10.1007/s00134-007-0603-5
Google Scholar
8.
Levkoff SE, Evans DA, Liptzin B, et al. Delirium: the occurrence and persistence of symptoms among elderly hospitalized patients. Arch Intern Med. 1992;152(2):334-340. doi:10.1001/archinte.1992.00400140082019
Google Scholar
9.
Francis J, Martin D, Kapoor WN. A prospective study of delirium in hospitalized elderly. JAMA. 1990;263(8):1097-1101. doi:10.1001/jama.1990.03440080075027
Google Scholar
10.
Pitkala KH, Laurila JV, Strandberg TE, Tilvis RS. Prognostic significance of delirium in frail older people. Dement Geriatr Cogn Disord. 2005;19(2-3):158-163. doi:10.1159/000082888
Google Scholar
11.
Bellelli G, Morandi A, Di Santo SG, et al. “Delirium Day”: a nationwide point prevalence study of delirium in older hospitalized patients using an easy standardized diagnostic tool. BMC Med. 2016;14(1):1-12. doi:10.1186/s12916-016-0649-8
Google ScholarPubMed CentralPubMed
12.
Ryan DJ, O’Regan NA, Caoimh RÓ, et al. Delirium in an adult acute hospital population: predictors, prevalence and detection. BMJ Open. 2013;3(1):e001772. doi:10.1136/bmjopen-2012-001772
Google ScholarPubMed CentralPubMed
13.
Siddiqi N, House AO, Holmes JD. Occurrence and outcome of delirium in medical in-patients: a systematic literature review. Age Ageing. 2006;35(4):350-364. doi:10.1093/ageing/afl005
Google Scholar
14.
The Health Service Executive (HSE). Health Service Executive Delirium ED/AMAU algorithm. Published 2021. Accessed August 15, 2023. https://www.hse.ie/eng/services/publications/clinical-strategy-and-programmes/delirium-ed-amau-algorithm-.pdf
15.
Bracken-Scally M, Timmons S, O’Shea E, et al. Second Irish National Audit of Dementia Care in Acute Hospitals. National Dementia Office; 2020.
16.
Bates D, Mächler M, Bolker B, Walker S. Fitting linear mixed-effects models using lme4. J Stat Soft. 2015;67(1). doi:10.18637/jss.v067.i01
Google Scholar
17.
Inouye SK, Westendorp RGJ, Saczynski JS. Delirium in elderly people. Lancet. 2014;383(9920):911-922. doi:10.1016/s0140-6736(13)60688-1
Google ScholarPubMed CentralPubMed
18.
Boucher V, Lamontagne ME, Nadeau A, et al. Unrecognized incident delirium in older emergency department patients. J Emerg Med. 2019;57(4):535-542. doi:10.1016/j.jemermed.2019.05.024
Google Scholar
19.
Collins N, Blanchard MR, Tookman A, Sampson EL. Detection of delirium in the acute hospital. Age Ageing. 2010;39(1):131-135. doi:10.1093/ageing/afp201
Google Scholar
20.
de la Cruz M, Fan J, Yennu S, et al. The frequency of missed delirium in patients referred to palliative care in a comprehensive cancer center. Supportive Care in Cancer. 2015;23(8):2427-2433. doi:10.1007/s00520-015-2610-3
Google Scholar
21.
O’Regan NA, Ryan DJ, Boland E, et al. Attention! A good bedside test for delirium? J Neurol Neurosurg Psychiatry. 2014;85(10):1122-1131. doi:10.1136/jnnp-2013-307053
Google ScholarPubMed CentralPubMed
22.
Young J, Inouye SK. Delirium in older people. BMJ. 2007;334(7598):842-846. doi:10.1136/bmj.39169.706574.ad
Google ScholarPubMed CentralPubMed
23.
Hall RJ, Meagher DJ, MacLullich AMJ. Delirium detection and monitoring outside the ICU. Best Pract Res Clin Anaesthesiol. 2012;26(3):367-383. doi:10.1016/j.bpa.2012.07.002
Google Scholar
24.
Delirium is prevalent in older hospital inpatients and associated with adverse outcomes: results of a prospective multi-centre study on World Delirium Awareness Day. BMC Med. 2019;17:1-11.
Google Scholar
25.
de Lange E, Verhaak PFM, van der Meer K. Prevalence, presentation and prognosis of delirium in older people in the population, at home and in long term care: a review. Int J Geriatr Psychiatry. 2013;28(2):127-134. doi:10.1002/gps.3814
Google Scholar
26.
Voyer P, Richard S, McCusker J, et al. Detection of delirium and its symptoms by nurses working in a long term care facility. J Am Med Dir Assoc. 2012;13(3):264-271. doi:10.1016/j.jamda.2010.11.002
Google Scholar
27.
Urfer Dettwiler P, Zúñiga F, Bachnick S, Gehri B, de Jonghe JFM, Hasemann W. Detecting delirium in nursing home residents using the Informant Assessment of Geriatric Delirium (I-AGeD): A validation pilot study. Eur Geriatr Med. 2022;13(4):917-931. doi:10.1007/s41999-022-00612-w
Google ScholarPubMed CentralPubMed
28.
Leung JLM, Leung VCW, Leung CM, Pan PC. Clinical utility and validation of two instruments (the Confusion Assessment Method Algorithm and the Chinese version of Nursing Delirium Screening Scale) to detect delirium in geriatric inpatients. Gen Hosp Psychiatry. 2008;30(2):171-176. doi:10.1016/j.genhosppsych.2007.12.007
Google Scholar

Supplementary data

Figure S1
Figure S1.Delirium data, including assessed, delirious, non-delirious, and untestable patients on March 15th, 2023, at 8 a.m. in the morning and 8 p.m. in the evening.
Figure S2
Figure S2.Delirium prevalence in patients, grouped by the type of the ward (for any method of delirium assessment).
Figure S3
Figure S3.Delirium prevalence in patients, grouped by the type of the ward (using data from wards which used formal assessment only).
Table S1.Full results of the model predicting delirium prevalence.
Prevalence
Predictors Odds Ratios CI p
(Intercept) 0.11 0.04 – 0.33 <0.001
Assessment [Formal tool] 1.83 1.05 – 3.19 0.034
Time point [8PM] 1.04 0.86 – 1.26 0.710
Specialty [ED/AMAU] 0.99 0.35 – 2.77 0.979
Specialty [General Surgical] 0.76 0.33 – 1.77 0.528
Specialty [Geriatric] 1.87 0.94 – 3.70 0.074
Specialty [Intensive Care] 0.54 0.20 – 1.50 0.240
Specialty [Non-acute wards] 0.16 0.05 – 0.51 0.002
Number of beds on the ward 1.00 0.97 – 1.03 0.979
Number of beds in the hospital 0.89 0.68 – 1.18 0.426