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Introduction: The large number of heterogeneous instruments in active use for identification of delirium prevents direct comparison of studies and the ability to combine results. In a recent systematic review we performed, we recommended four commonly used and well-validated instruments and subsequently harmonized them using advanced psychometric methods to develop an item bank, the Delirium Item Bank (DEL-IB). The goal of the present study was to find optimal cut-points on four existing instruments and to demonstrate use of the DEL-IB to create new instruments. Methods: We used a secondary analysis and simulation study based on data from three previous studies of hospitalized older adults (age 65+ years) in the USA, Ireland, and Belgium. The combined dataset included 600 participants, contributing 1,623 delirium assessments, and an overall incidence of delirium of about 22%. The measurements included the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition diagnostic criteria for delirium, Confusion Assessment Method (long form and short form), Delirium Observation Screening Scale, Delirium Rating Scale-Revised-98 (total and severity scores), and Memorial Delirium Assessment Scale (MDAS). Results: We identified different cut-points for each existing instrument to optimize sensitivity or specificity, and compared instrument performance at each cut-point to the author-defined cut-point. For instance, the cut-point on the MDAS that maximizes both sensitivity and specificity was at a sum score of 6 yielding 89% sensitivity and 79% specificity. We then created four new example instruments (two short forms and two long forms) and evaluated their performance characteristics. In the first example short form instrument, the cut-point that maximizes sensitivity and specificity was at a sum score of 3 yielding 90% sensitivity, 81% specificity, 30% positive predictive value, and 99% negative predictive value. Discussion/Conclusion: We used the DEL-IB to better understand the psychometric performance of widely used delirium identification instruments and scorings, and also demonstrated its use to create new instruments. Ultimately, we hope that the DEL-IB might be used to create optimized delirium identification instruments and to spur the development of a unified approach to identify delirium. [ABSTRACT FROM AUTHOR]

Background: Education of healthcare workers is a core element of multicomponent delirium strategies to improve delirium care and, consequently, patient outcomes. However, traditional educational strategies are notoriously difficult to implement. E-learning is hypothesised to be easier and more cost effective, but research evaluating effectiveness of delirium education through e-learning is scarce at present. Aim is to determine the effect of a nursing e-learning tool for delirium on: (1) in-hospital prevalence, duration and severity of delirium or mortality in hospitalized geriatric patients, and (2) geriatric nurses' knowledge and recognition regarding delirium.Methods: A before-after study in a sample of patients enrolled pre-intervention (non-intervention cohort (NIC); n = 81) and post-intervention (intervention cohort (IC); n = 79), and nurses (n = 17) of a geriatric ward (university hospital). The intervention included an information session about using the e-learning tool, which consisted of 11 e-modules incorporating development of knowledge and skills in the prevention, detection and management of delirium, and the completion of a delirium e-learning tool during a three-month period. Key patient outcomes included in-hospital prevalence and duration of delirium (Confusion Assessment Method), delirium severity (Delirium Index) and mortality (in-hospital; 12 months post-admission); key nurse outcomes included delirium knowledge (Delirium Knowledge Questionnaire) and recognition (Case vignettes). Logistic regression and linear mixed models were used to analyse patient data; Wilcoxon Signed Rank tests, McNemar's or paired t-tests for nursing data.Results: No significant difference was found between the IC and NIC for in-hospital prevalence (21.5% versus 25.9%; p = 0.51) and duration of delirium (mean 4.2 ± SD 4.8 days versus 4.9 ± SD 4.8 days; p = 0.38). A trend towards a statistically significant lower delirium severity (IC versus NIC: difference estimate - 1.59; p = 0.08) was noted for delirious IC patients in a linear mixed model. No effect on patient mortality and on nurses' delirium knowledge (p = 0.43) and recognition (p = 1.0) was found.Conclusion: Our study, the first in its area to investigate effects of delirium e-learning on patient outcomes, demonstrated no benefits on both geriatric patients and nurses. Further research is needed to determine whether delirium e-learning nested within a larger educational approach inclusive of enabling and reinforcing strategies, would be effective.Trial Registration: ISRCTN ( 82,293,702 , 27/06/2017). [ABSTRACT FROM AUTHOR]

Background: Despite awareness of the negative health and financial outcomes of delirium, systems to routinely assess and manage the condition are absent in clinical practice. We report the development and pilot evaluation of a Delirium Early Monitoring System (DEMS), designed to be completed by non-medical staff to influence clinical processes within inpatient settings. Two versions of the DEMS are described based on a modified Confusion Assessment Method (DEMS-CAM) and Delirium Observation Screening Scale (DEMS-DOSS).Methods: Both versions of DEMS were piloted on a 20-bedded Psychogeriatric ward over 6 weeks. Training was administered to ward staff on the use of each version of the DEMS and data were collected via electronic medical records and completed assessment sheets. The primary outcome was patterns of DEMS use and the secondary outcome was the initiation of delirium management protocols. Data regarding the use of the DEMS DOSS and DEMS CAMS were analyzed using χ 2 tests.Results: Completion rates for the DEMS CAM and DEMS DOSS were 79% and 68%, respectively. Non-medical staff were significantly more likely to use the DEMS-CAM as part of daily practice as opposed to the DEMS-DOSS (p<0.001). However, there was no difference between the use of the DEMS-CAM and DEMS-DOSS in triggering related actions such as documentation of assessment scores in patients' medical records and implementation of delirium management protocols.Conclusions: This real world evaluation revealed that non-medical staff were able to incorporate delirium monitoring into their practice, on the majority of occasions, as part of their daily working routine. Further research is necessary to determine if the routine use of the DEMS can lead to improved understandings and practice of non-medical staff regarding delirium detection. [ABSTRACT FROM AUTHOR]

Background: Anaemia is a common problem in hospitalized older patients and is recognized as a risk factor for a significant number of adverse outcomes. Data of the effect of anaemia on functional status during hospitalization and mortality after discharge are limited. Aim of the study is to examine whether there is an association between anaemia, hand grip strength, gait speed and basic activities of daily living (ADL) during hospitalization and mortality 1 year after discharge in geriatric patients.Methods: In a prospective study, data on age, sex, body mass index, Mini-Mental State Examination (MMSE), main clinical diagnosis, number of comorbidities, hand grip strength, gait speed, ADL, haemoglobin, C-reactive protein and estimated Glomerular filtration ratio (eGFR) were recorded in 220 older patients, admitted to the acute geriatric ward of a university hospital. Anaemia was defined as a haemoglobin level <13 g/dL for men and <12 g/dL for women and was further specified into severe (haemoglobin level <10 g/dL for both men and women) and moderate anaemia (haemoglobin between 10 and 12 g/dL for women and 10 and 13 g/dL for men). Gait speed (in meters per second) was calculated after a 4.5 m walk and hand grip strength (in kilogram) was assessed with a hydraulic hand dynamometer. Functionality was assessed in the six basic activities of daily living. Information about the vital status was obtained 1 year after discharge with a telephone call. Analysis of covariance (ANCOVA) was used to examine the effect of the anaemia status on the walking speed, hand grip strength and premorbid ADL index and logistic regression analysis was used to examine whether anaemia could be identified as risk factors for mortality 12 months after discharge.Results: Overall, 106 (48 %) patients had anaemia. Hand-grip strength, gait speed and ADL score were not significantly different between anaemic and non-anaemic hospitalized geriatric patients. After adjustment for age, sex, body mass index, eGFR, MMSE, number of comorbidities and main clinical diagnosis, the means for hand-grip strength were 17.3, 19.9 and 19.1 kg (p = 0.38); for gait speed 0.57, 0.52 and 0.47 m/s (p = 0.28); and for the ADL score 3.50, 3.05 and 3.30 (p = 0.75) in patients with severe, moderate and without anaemia, respectively. In the unadjusted model, the odds ratio for mortality 1 year after discharge was 2.72 (95 % CI 1.20-6.14) and 4.70 (95 % CI 1.91-11.77) for moderate and severe anaemia, respectively, with no anaemia as the reference group. After adjustment for several confounders, a haemoglobin level less than 10 g/dl (OR 3.87; 95 % CI 1.25-11.99) remained significantly associated with an increased mortality over that 1 year period.Conclusion: Our results do not support that anaemia on admission is associated with a decline in physical performance (hand grip strength and gait speed) and functionality (ADL) during hospitalization in older patients. However, severe anaemia is a significant risk factor for an increased mortality over a 1 year period after discharge. [ABSTRACT FROM AUTHOR]

Background: Studies investigating the effectiveness of delirium e-learning tools in clinical practice are scarce. The aim of this study is to determine the effect of a delirium e-learning tool on healthcare workers' delirium recognition, delirium knowledge and care strain in delirium. Methods: A pilot pre-posttest study in a convenience sample of 59 healthcare workers recruited from medical, surgical, geronto-psychiatric and rehabilitation units of a university hospital. The intervention consisted of a live information session on how to use the e-learning tool and, a 2-month self-active learning program. The tool included 11 e-modules integrating knowledge and skill development in prevention, detection and management of delirium. Case vignettes, the Delirium Knowledge Questionnaire, and the Strain of Care for Delirium Index were used to measure delirium recognition, delirium knowledge and experienced care strain in delirium respectively. Subgroup analyses were performed for healthcare workers completing 0 to 6 versus 7 to 11 modules. Results: The delirium recognition score improved significantly (mean 3.1 ± SD 0.9 versus 2.7 ± 1.1; P = 0.04), and more healthcare workers identified hypoactive (P = 0.04) and hyperactive (P = 0.007) delirium in the posttest compared to the pretest phase. A significant difference in the change of recognition levels over time between the 0 to 6 and 7 to 11 module groups was demonstrated (P = 0.03), with an improved recognition level in the posttest phase within the 7 to 11 module group (P = 0.007). After adjustment for potential confounders, this difference in the change over time was not significant (P = 0.07) and no change in recognition levels within the 7 to 11 module group was noted (P = 0.19). The knowledge score significantly improved in the posttest compared to the pretest phase (mean 31.7 ± SD2.6 versus 28.3 ± 4.5; P < 0.001), with a significant increased level within the 7 to 11 module group (unadjusted P < 0.001/adjusted P = 0.02). Overall, no difference between posttest and pretest phases was documented for care strain (P = 0.46). Conclusion: The e-learning tool improved healthcare workers' delirium recognition and knowledge. The effect of the tool is related to its level of completion, but was less explicit after controlling for potential confounders and warrants further investigation. The level of strain did not improve. [ABSTRACT FROM AUTHOR]

Background The prevalence and significance of frailty are seldom studied in hospitalized patients. Aim of this study is to evaluate the prevalence of frailty and to determine the extent that frailty predicts delirium, falls and mortality in hospitalized older patients. Methods In a prospective study of 220 older patients, frailty was determined using the Cardiovascular Health Study (CHS) and the Study of Osteoporotic Fracture (SOF) frailty index. Patients were classified as nonfrail, prefrail, and frail, according to the specific criteria. Covariates included clinical and laboratory parameters. Outcome variables included in hospital delirium and falls, and 6-month mortality. Results The CHS frailty index was available in all 220 patients, of which 1.5% were classified as being nonfrail, 58.5% as prefrail, and 40% as frail. The SOF frailty index was available in 204 patients, of which 16% were classified as being nonfrail, 51.5% as prefrail, and 32.5% as frail. Frailty, as identified by the CHS and SOF indexes, was a significant risk factor for 6-month mortality. However, after adjustment for multiple risk factors, frailty remained a strong independent risk factor only for the model with the CHS index (OR 4.7, 95% CI 1.7- 12.8). Frailty (identified by CHS and SOF indexes) was not found to be a risk factor for delirium or falls. Conclusions Frailty, as measured by the CHS index, is an independent risk factor for 6-month mortality. The CHS and the SOF indexes have limited value as risk assessment tools for specific geriatric syndromes (e.g., falls and delirium) in hospitalized older patients. [ABSTRACT FROM AUTHOR]

Delirium is a common, serious and potentially preventable problem. It is argued here that knowledge and skills for effective assessment and treatment of delirium cannot be considered 'specialist'. Rather, delirium is a problem that requires a healthcare team approach to assessing patients, identifying risks or symptoms and reducing precipitating factors. Research from the preceding decade suggests that the clinical reality is falling short of this ideal with the result that many cases of delirium go undetected and many precipitating factors are not reduced where this is indeed possible. This presents a challenge for the education of nursing and medical students and for the development of qualified staff in practice. The current paper outlines an educational approach, e-learning, which increases access for learners, integrates knowledge and skill development and promotes active, problem-based learning. [ABSTRACT FROM AUTHOR]

Aim: To determine if preoperative state anxiety is a risk factor for postoperative delirium in older hip fracture patients., Methods: A secondary data analysis comprising data from a prospective non-randomized trial including 86 patients with a hip fracture aged 65 years and older was carried out. State anxiety was measured preoperatively using the State-Trait Anxiety Inventory. Delirium and its severity was measured pre- and postoperatively (day 1, 3, 5, 8) by trained research nurses using the Confusion Assessment Method and Delirium Index., Results: A total of 24 patients (27.9%) developed delirium postoperatively. Preoperative state anxiety (State-Trait Anxiety Inventory) was not associated with postoperative delirium (rb  = 0.135, P = 0.353), duration of postoperative delirium (rho = 0.038, P = 0.861) or severity of postoperative delirium (rho = 0.153, P = 0.160). Independent predictors of postoperative delirium were lower MMSE scores (OR 0.75, 95% CI 0.60-0.95, P = 0.015), osteosynthesis surgery (OR 3.66, 95% CI 1.02-13.15, P = 0,047) and lowest intraoperative diastolic blood pressure (OR 0.92, 95% CI 0.85-0.99, P = 0.031)., Conclusion: No relationship between state anxiety and postoperative delirium was found, but significant methodological hurdles were observed and discussed providing important groundwork for further research in this area. Further research should focus on reliable measurement of state anxiety in cognitively impaired older populations. Geriatr Gerontol Int 2016; 16: 948-955., (© 2015 Japan Geriatrics Society.)