Nurses' Recognition of Delirium in the Hospitalized Older Adult

Longitudinal Trends in the Incidence of Hyperactive Delirium and Its Causes of Change After Surgery for Degenerative Lumbar Disease: A Population-Based Study of 7250 Surgical Patients Over 11 Years

OBJECTIVES

Delirium is one of the common complications in elderly patients after spinal surgery. Severe delirium can lead to a series of adverse consequences such as drainage tube removal, wound rupture, patient falls, and severe adverse effects. The current research on POD is mostly small sample studies. This study aimed to investigate longitudinal changes in the incidence of hyper-postoperative delirium in patients with lumbar degenerative disease at our institution over the past 11 years and to identify the potential causes of these changes.

METHODS

This is a retrospective cohort study included 7250 patients who underwent surgical treatment for lumbar degenerative diseases at a single center from 2011 to 2021. These patients were diagnosed with delirium through the Confusion Assessment Method and then diagnosed with high activity delirium through the Richmond Agitation-Sedation Scale, totaling 130 cases. According to the incidence rate of hyper-postoperative delirium within 11 years, the trend test is divided into three groups: S1 upward trend (2011-2014), S2 downward trend (2015-2016) and S3 upward trend (2016-2021). The study collected variables from patients before, during, and after surgery, including gender, age, laboratory tests, anesthesia risk score, New York Heart Association cardiac function grading, number of surgical segments, surgical time, estimated intraoperative blood loss, anesthesia medication, and supplementary analgesic medication in the ward within 3 days after surgery. Kruskal Wallis one-way ANOVA test, Kruskal-Wallis H test, or chi-square test are used to evaluate inter group differences. p < 0.05 is considered statistically significant.

RESULTS

The pooled incidence of hyper-postoperative delirium over the past 11 years was 1.79% (130/7250). The average age of 7250 patients was 54.5 ± 13 years, with a male/female ratio close to 1:1. We statistically analyzed the relevant influencing factors before, during, and after surgery of S1 and S3 in the incidence rate increase group and found no statistical difference between the two groups. Our research results show that the incidence of high activity delirium is correlated with age, number of surgical segments, surgical duration, use of dexmedetomidine, remifentanil, and benzodiazepines, with p < 0.05.

CONCLUSIONS

The reduced use of dexmedetomidine, increased use of benzodiazepines, and prolonged surgical time are the reasons for the increased incidence of hyper-postoperative delirium. The joint management of orthopedic surgeons and anesthesiologists during the perioperative period is of great significance in reducing the incidence of hyper-postoperative delirium in patients undergoing lumbar spine surgery.

The effectiveness of postoperative delirium prevention, diagnosis, and intervention protocol in patients monitored in the intensive care unit after cardiac surgery: a quasi-experimental study

BACKGROUND

The incidence of delirium is high in the intensive care unit (ICU) after cardiac surgery. The development of evidence-based care protocols for delirium management and training of nurses in this regard can ensure effective management of delirium. This quasi-experimental study aimed to assess the effectiveness of a postoperative delirium prevention, diagnosis, and intervention protocol in patients undergoing monitoring in the ICU after cardiac surgery.

METHODS

This study included 64 patients who underwent cardiac surgery and met the inclusion criteria, along with 14 nurses working in the ICU. Patients were divided into control (n = 32) and intervention (n = 32) groups. The study comprised three phases: determining the incidence of delirium in the control group and the delirium diagnosis status of the nurses; providing training to nurses on postoperative delirium prevention, diagnosis and intervention protocol; implementing a preliminary study of the protocol; and finally, implementing the protocol in the intervention group. Statistical significance was set at p < 0.05.

RESULTS

While there was no significant agreement in delirium diagnosis between researcher and nurses in the control group (kappa: 0.207) (p > 0.05), significant agreement was observed in the intervention group (kappa: 1.00) (p < 0.001). The delirium diagnosis rate of the nurses was 14.3% in the control group and 100% in the intervention group, which was a significant difference. The incidence of delirium was 21.9% in the control group and 9.4% in the intervention group, although the difference was not significant.

CONCLUSION

Postoperative delirium prevention, diagnosis, and intervention protocol effectively enhance delirium diagnosis compliance among researchers and nurses and improve the accuracy of delirium diagnosis among postcardiac surgery ICU patients. The implementation of this protocol is recommended for delirium management in such patients.

TRIAL REGISTRATION

This study was retrospectively registered at Clinicaltrials.gov on 19.02.2024 (Clinical Trials ID: NCT06268119).

World delirium awareness and quality survey in 2023-a worldwide point prevalence study

BACKGROUND

Delirium, an acute brain dysfunction, is proposed to be highly prevalent in clinical care and shown to significantly increase the risk of mortality and dementia.

OBJECTIVES

To report on the global prevalence of clinically documented delirium and delirium-related clinical practices in wards caring for paediatric and adult patients in healthcare facilities.

DESIGN

A prospective, cross-sectional, 39-question survey completed on World Delirium Awareness Day, 15 March 2023.

PARTICIPANTS

Clinicians or researchers with access to clinical data.

MAIN OUTCOME AND MEASURE

The primary outcome was the prevalence of clinically documented delirium at 8:00 a.m. (4 h) and 8:00 p.m. (±4 h). Secondary outcomes included delirium-related care practices and barriers to use. Descriptive statistics were calculated and multilevel modelling was completed.

RESULTS

1664 wards submitted surveys from 44 countries, reporting on delirium assessments at 8:00 a.m. (n = 36 048) and 8:00 p.m. (n = 32 867); 61% reported use of validated delirium assessment tools. At 8:00 a.m., 18% (n = 2788/15 458) and at 8:00 p.m., 17.7% (n = 2454/13 860) were delirium positive. Top prevention measures were pain management (86.7%), mobilisation (81.4%) and adequate fluids (80.4%). Frequently reported pharmacologic interventions were benzodiazepines (52.7%) and haloperidol (46.2%). Top barriers included the shortage of staff (54.3%), lack of time to educate staff (48.6%) and missing knowledge about delirium (38%).

CONCLUSION AND RELEVANCE

In this study, approximately one out of five patients were reported as delirious. The reported high use of benzodiazepines needs further evaluation as it is not aligned with best-practice recommendations. Findings provide a benchmark for future quality improvement projects and research.

Delirium in nursing home residents: is there a role of antidepressants? A cross sectional study

BACKGROUND

Delirium is strongly associated with poor health outcomes, yet it is frequently underdiagnosed. Limited research on delirium has been conducted in Nursing Homes (NHs). Our aim is to assess delirium prevalence and its associated factors, in particular pharmacological prescription, in this care setting.

METHODS

Data from the Italian "Delirium Day" 2016 Edition, a national multicenter point-prevalence study on patients aged 65 and older were analyzed to examine the associations between the prevalence of delirium and its subtypes with demographics and information about medical history and pharmacological treatment. Delirium was assessed using the Assessment test for delirium and cognitive impairment (4AT). Motor subtype was evaluated using the Delirium Motor Subtype Scale (DMSS).

RESULTS

955 residents, from 32 Italian NHs with a mean age of 84.72 ± 7.78 years were included. According to the 4AT, delirium was present in 260 (27.2%) NHs residents, mainly hyperactive (35.4%) or mixed subtypes (20.7%). Antidepressant treatment with selective serotonin reuptake inhibitors (SSRIs) was associated with lower delirium prevalence in univariate and multivariate analyses.

CONCLUSIONS

The high prevalence of delirium in NHs highlights the need to systematically assess its occurrence in this care settings. The inverse association between SSRIs and delirium might imply a possible preventive role of this class of therapeutic agents against delirium in NHs, yet further studies are warranted to ascertain any causal relationship between SSRIs intake and reduced delirium incidence.

Circadian disturbances, anxiety and motor disturbances differentiate delirium superimposed on dementia from dementia-only

Background

To ensure adequate treatment, individuals with delirium superimposed on dementia (DSD) need to be differentiated reliably from those with dementia only (DO). Therefore, we aimed to examine the clinical indicators of DSD by assessing motor subtypes, cognitive performance and neuropsychiatric symptoms in DSD and DO patients.

Methods

Cross-sectional design with the Delirium-Motor-Subtyping Scale (DMSS), Mini-Mental-State-Examination (MMSE), Clock-Drawing-Test (CDT), DemTect, and Neuropsychiatric Inventory assessed after admission to an acute hospital.

Results

94 patients were included, 43 with DSD (78 ± 7 years, MMSE = 11 ± 9) and 51 with DO (79 ± 7 years, MMSE = 9 ± 8). DMSS "no subtype" was more common in the DO group (26% vs. 10%, p = .04). The DSD group showed lower CDT scores (DSD: M = 4 ± 3 vs. DO: M = 6 ± 1; p < .001) and higher anxiety (DSD: MED = 3 ± 8 vs. DO: MED = 3 ± 4; p = .01) and sleep/night-time behavior disturbances (DSD: MED = 0 ± 6 vs. DO: MED = 0 ± 0; p = .02).

Conclusions

Sleep/night-time behavior disturbances appear to be a clinical indicator of DSD. Motor subtypes can identify cases at increased risk of developing delirium or unrecognized delirium.

Clinical trial registration

https://drks.de/search/de/trial/DRKS00025439, identifier DRKS00025439.

Barriers to healthcare professionals recognizing and managing delirium in older adults during a hospital stay: A mixed-methods systematic review

AIM

To investigate barriers to healthcare professionals recognizing and managing delirium in hospitalized older people.

DESIGN

A mixed-methods systematic review.

PROSPERO ID

CRD42020187932.

DATA SOURCES

MEDLINE, EMBASE, PsycINFO and CINAHL were searched (2007 to February 2023).

REVIEW METHODS

Included studies focused on healthcare professionals' recognition and management of delirium for patients aged 65 years and over in a hospital ward or emergency department. Enhancing rigour, screening of results was conducted independently by two researchers. Qualitative and quantitative data were tabulated separately and grouped. Data were compared to identify similarities and differences. All studies were quality appraised.

RESULTS

43 studies were included; 24 quantitative, 16 qualitative and three mixed-methods. Data synthesis highlighted synergy between qualitative and quantitative findings. Barriers were reflected in six themes: (1) healthcare professionals' knowledge and understanding; (2) communication; (3) workforce development; (4) interprofessional working; (5) confounders; and (6) organizational constraints.

CONCLUSIONS

Of significance, for older adults in hospital experiencing delirium, there is variability in whether and how well it is recognized and managed. To prevent adverse outcomes best practice guidance for screening, recognizing, diagnosing and managing delirium in older people needs to be agreed and disseminated widely. Supporting healthcare professionals to care for this patient population using an integrated approach is essential, how to involve and communicate with patients and their family and friends, how to recognize and manage delirium for patients with additional needs, e.g., those living with dementia and/or a learning disability. Hospitals need to have policy and guidance in place for the recognition and management of delirium in older adults presenting to a ward or to an emergency department. An IT infrastructure is needed that integrates assessments and care management plans in patient electronic records and makes them accessible within and across teams in hospital, primary and community care settings.

PATIENT OR PUBLIC CONTRIBUTION

There was no patient or public contribution to this systematic review.

IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE

Healthcare professionals can be better supported to be able to recognize and manage delirium during an acute hospital stay for older adults. This includes maximizing best care for those patients living with dementia, involving families and friends to help understand patients' baseline status and changes and supporting families and friends during this process. Of significance, attention to hospital IT infrastructures is warranted, integrating screening, assessment and care management plans in patients' electronic records and making these accessible to healthcare professionals caring for this patient population across care settings.

IMPACT

What problem did the study address? Delirium is a common condition experienced by older hospitalized patients, but it is consistently under-recognized which has implications for patient and organization outcomes. To help address this, understanding barriers to healthcare professionals recognizing and managing delirium for this patient population is paramount. What were the main findings? Barriers to healthcare professionals recognizing and managing delirium for this patient population were synthesized in six themes: (1) healthcare professionals' knowledge and understanding, (2) communication; (3) workforce development; (4) interprofessional working; (5) confounders; and (6) organizational constraints. Where and on whom will the research have an impact? The findings of this original systematic review can contribute to hospital policy and protocol for the recognition and management of delirium in older patients. The findings can meaningfully contribute to workforce professional development for practitioners caring for older people during an acute hospital stay and for practitioners in primary and community settings involved in the follow-up of patients post hospital discharge. For researchers, the findings indicate several research recommendations including investigating the impact of an education programme for nurses and other healthcare professionals on the recognition and management of the condition and understanding and investigating how best to support delirium-related distress experienced by patients and their families and practitioners.

REPORTING METHOD

This systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (Page et al., 2021).

A qualitative study of geriatric specialist nurses' experiences to navigate delirium in the elderly

BACKGROUND

The experiences and perceptions of geriatric specialist nurses are pivotal to understanding the complexities of managing delirium and to developing effective nursing interventions. This qualitative study aims to explore these experiences and perceptions to inform the enhancement of clinical geriatric nursing and care practices.

METHODS

Utilizing a qualitative exploratory design, this research engaged a convenience sample of geriatric specialist nurses at a tertiary hospital in Shanghai, China through focus groups and semi-structured interviews. Data were rigorously analyzed using Colaizzi's phenomenological method, which facilitated the identification of themes that emerged from the narratives of the geriatric specialist nurses.

RESULTS

The thematic analysis yielded three major themes that encapsulate the nurses' experiences and perceptions. Theme 1: Understanding of Delirium, highlighted the nurses' awareness of the condition's significance, yet it was often deprioritized due to the pressing demands of managing more acute and immediately life-threatening conditions. Theme 2: Barriers in Application, brought to light the multifaceted challenges faced by nurses, including language barriers, the frequency and consistency of delirium assessments, the social determinants of health, and the nurses' own competencies in assessment. Theme 3: Evolution of Nursing Approaches, detailed the adaptive strategies employed by nurses, such as managing nursing adverse events, improving communication with patients' families, and adopting a proactive stance towards long-term patient outcomes.

CONCLUSIONS

The findings suggest that while geriatric specialist nurses recognize the importance of delirium assessment, there are several barriers to effective application. The study underscores the imperative for the advancement of more refined delirium assessment and care protocols, tailored to address the unique requirements of geriatric nursing care.

Characterizing medical patients with delirium: A cohort study comparing ICD-10 codes and a validated chart review method

BACKGROUND

Delirium is a major cause of preventable mortality and morbidity in hospitalized adults, but accurately determining rates of delirium remains a challenge.

OBJECTIVE

To characterize and compare medical inpatients identified as having delirium using two common methods, administrative data and retrospective chart review.

METHODS

We conducted a retrospective study of 3881 randomly selected internal medicine hospital admissions from six acute care hospitals in Toronto and Mississauga, Ontario, Canada. Delirium status was determined using ICD-10-CA codes from hospital administrative data and through a previously validated chart review method. Baseline sociodemographic and clinical characteristics, processes of care and outcomes were compared across those without delirium in hospital and those with delirium as determined by administrative data and chart review.

RESULTS

Delirium was identified in 6.3% of admissions by ICD-10-CA codes compared to 25.7% by chart review. Using chart review as the reference standard, ICD-10-CA codes for delirium had sensitivity 24.1% (95%CI: 21.5-26.8%), specificity 99.8% (95%CI: 99.5-99.9%), positive predictive value 97.6% (95%CI: 94.6-98.9%), and negative predictive value 79.2% (95%CI: 78.6-79.7%). Age over 80, male gender, and Charlson comorbidity index greater than 2 were associated with misclassification of delirium. Inpatient mortality and median costs of care were greater in patients determined to have delirium by ICD-10-CA codes (5.8% greater mortality, 95% CI: 2.0-9.5 and $6824 greater cost, 95%CI: 4713-9264) and by chart review (11.9% greater mortality, 95%CI: 9.5-14.2% and $4967 greater cost, 95%CI: 4415-5701), compared to patients without delirium.

CONCLUSIONS

Administrative data are specific but highly insensitive, missing most cases of delirium in hospital. Mortality and costs of care were greater for both the delirium cases that were detected and missed by administrative data. Better methods of routinely measuring delirium in hospital are needed.

Assessment and report of individual symptoms in studies of delirium in postoperative populations: a systematic review

OBJECTIVES

Delirium is most often reported as present or absent. Patients with symptoms falling short of the diagnostic criteria for delirium fall into 'no delirium' or 'control' groups. This binary classification neglects individual symptoms and may be hindering identification of the pathophysiology underlying delirium. This systematic review investigates which individual symptoms of delirium are reported by studies of postoperative delirium in adults.

METHODS

Medline, EMBASE and Web of Science databases were searched on 03 June 2021 and 06 April 2023. Two reviewers independently examined titles and abstracts. Each paper was screened in duplicate and conflicting decisions settled by consensus discussion. Data were extracted, qualitatively synthesised and narratively reported. All included studies were quality assessed.

RESULTS

These searches yielded 4,367 results. After title and abstract screening, 694 full-text studies were reviewed, and 62 deemed eligible for inclusion. This review details 11,377 patients including 2,049 patients with delirium. In total, 78 differently described delirium symptoms were reported. The most reported symptoms were inattention (N = 29), disorientation (N = 27), psychomotor agitation/retardation (N = 22), hallucination (N = 22) and memory impairment (N = 18). Notably, psychomotor agitation and hallucinations are not listed in the current Diagnostic and Statistical Manual for Mental Disorders-5-Text Revision delirium definition.

CONCLUSIONS

The 78 symptoms reported in this systematic review cover domains of attention, awareness, disorientation and other cognitive changes. There is a lack of standardisation of terms, and many recorded symptoms are synonyms of each other. This systematic review provides a library of individual delirium symptoms, which may be used to inform future reporting.

Factors associated with disagreement between clinician app-based ultra-brief Confusion Assessment Method and reference standard delirium assessments

BACKGROUND

Recently, the Ultra-Brief Confusion Assessment Method (UB-CAM), designed to help physicians and nurses to recognize delirium, showed high, but imperfect, accuracy compared with Research Reference Standard Delirium Assessments (RRSDAs). The aim of this study is to identify factors associated with disagreement between clinicians' app-based UB-CAM assessments and RRSDAs.

METHODS

This is a secondary analysis of a prospective diagnostic test study. The study was conducted at two hospitals and included 527 inpatients (≥70 years old) and 289 clinicians (53 physicians, 236 nurses). Trained research associates performed RRSDAs and determined delirium presence using the CAM. Clinicians administered the UB-CAM using an iPad app. Disagreement factors considered were clinician, patient, and delirium characteristics. We report odds ratios and 95% confidence intervals.

RESULTS

One thousand seven hundred and ninety-five clinician UB-CAM assessments paired with RRSDAs were administered. The prevalence of delirium was 17%. The rate of disagreement between clinician UB-CAM assessments and RRSDAs was 12%. Significant factors associated with disagreement between clinician UB-CAM assessments and RRSDAs (OR [95% CI]) included: presence of dementia (2.7 [1.8-4.1]), patient education high school or less (1.9 [1.3-2.9]), psychomotor retardation (2.5 [1.4-4.2]), and the presence of mild delirium or subsyndromal delirium (5.5 [3.5-8.7]). Significant risk factors for false negatives were patient age less than 80 (2.2 [1.1-4.3]) and mild delirium (3.5 [1.6-7.4]). Significant risk factors for false positives were presence of dementia (4.0 [2.3-7.0]), subsyndromal delirium (5.1 [2.9-9.1]), and patient education high school or less (2.0 [1.2-3.6]). Clinician characteristics were not significantly associated with disagreement.

CONCLUSIONS

The strongest factors associated with disagreement between clinician UB-CAM screens and RRSDAs were the presence of dementia and subsyndromal delirium as risk factors for false positives, and mild delirium and younger age as a risk factor for false negatives. These disagreement factors contrast with previous studies of risk factors for incorrect clinician delirium screening, and better align screening results with patient outcomes.

Post-stroke delirium and challenges for the rehabilitation setting: A narrative review

INTRODUCTION

Post-stroke delirium (PSD) is a common yet underrecognized complication following stroke, with its effect on stroke rehabilitation being the subject of limited attention. The objective of this narrative review is to provide an overview of core issues in PSD including epidemiology, diagnostic challenges, and management considerations, with an emphasis on the rehabilitation phase.

METHODS

Ovid Medline and Google Scholar were searched through February 2023 using keywords related to delirium, rehabilitation, and the post-stroke period. Only studies conducted on adults (≥18 years) and written in the English language were included.

RESULTS

PSD affects approximately 25% of stroke patients, and often persists well into the post-acute phase, with a negative impact on rehabilitation outcomes including lengths of stay, function, and cognition. Certain stroke and patient characteristics can help predict risk for PSD. The diagnosis of delirium becomes more challenging when superimposed on stroke deficits (such as attentional impairment or other cognitive, psychiatric, or behavioural disorders), leading to underdiagnosis, overdiagnosis, or misdiagnosis. Particularly in patients with post-stroke language or cognitive disorders, common screening tools are less accurate. The multidisciplinary rehabilitation team should be involved in management of PSD as rehabilitative activities can be beneficial for patients who can participate safely. Addressing barriers to effective delirium care at various levels of the health care system can improve rehabilitation trajectories for these patients.

CONCLUSIONS

PSD is a disease entity commonly encountered in the rehabilitation setting, but it is challenging to diagnose and manage. New delirium screening tools and management approaches specific for the post-stroke and rehabilitation settings are needed.

The prediction of postoperative delirium with the preoperative bispectral index in older aged patients: a cohort study

BACKGROUND

Postoperative delirium (POD) is the most common postoperative complication in elderly patients, especially in older aged patients (aged 75 years or over). The development of electroencephalography analysis could provide indicators for early detection, intervention, and evaluation. If there are pathophysiological changes in the brain, the BIS value will also change accordingly. In this study, we investigated the predictive value of the preoperative bispectral (BIS) index in POD for patients aged over 75 years.

METHODS

In this prospective study, patients (≥ 75 years) undergoing elective non-neurosurgery and non-cardiac surgery under general anesthesia were included (n = 308). Informed consent was obtained from all involved patients. Before the operation and during the first 5 postoperative days, delirium was assessed with the confusion assessment method by trained researchers twice every day. Thereafter, the preoperative bedside BIS of each patient was dynamically acquired by the BIS VISTA monitoring system and the BIS monitoring of electrodes. A series of evaluation scales were assessed before and after surgery. A preoperative predictive score was generated according to the results of multivariable logistic regression. The receiver operating characteristic curves were drawn and the area under the curves was estimated to evaluate the perioperative diagnostic values of BIS and preoperative predictive score for POD. The specificity, sensitivity, positive predictive value (PPV), and negative predictive (NPV) value were calculated.

RESULTS

Delirium occurred in 50 of 308 (16.2%) patients. The median BIS of delirious patients was 86.7 (interquartile range [IQR] 80.0-94.0), lower than that of the non-delirious 91.9 (IQR 89.7-95.4, P < 0.001). According to the ROC curve of the BIS index, the optimal cut-off value was 84, with a sensitivity of 48%, specificity of 87%, PPV 43%, NPV 89% for forecasting POD and the area under curves was 0.67. While integrating BIS, mini-mental state examination, anemia, activities of daily living, and blood urea nitrogen, the model had a sensitivity of 78%, specificity of 74%, PPV of 0.37%, and NPV of 95% for forecasting POD, and the area under curves was 0.83.

CONCLUSIONS

Preoperative bedside BIS in delirium patients was lower than that in non-delirium patients when undergoing non-neurosurgery and non-cardiac surgery in patients aged over 75. The model of integrating BIS, mini-mental state examination, anemia, activities of daily living, and blood urea nitrogen is a promising tool for predicting postoperative delirium in patients aged over 75.

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record

OBJECTIVE

To develop and test an accurate deep learning model for predicting new onset delirium in hospitalized adult patients.

METHODS

Using electronic health record (EHR) data extracted from a large academic medical center, we developed a model combining long short-term memory (LSTM) and machine learning to predict new onset delirium and compared its performance with machine-learning-only models (logistic regression, random forest, support vector machine, neural network, and LightGBM). The labels of models were confusion assessment method (CAM) assessments. We evaluated models on a hold-out dataset. We calculated Shapley additive explanations (SHAP) measures to gauge the feature impact on the model.

RESULTS

A total of 331 489 CAM assessments with 896 features from 34 035 patients were included. The LightGBM model achieved the best performance (AUC 0.927 [0.924, 0.929] and F1 0.626 [0.618, 0.634]) among the machine learning models. When combined with the LSTM model, the final model's performance improved significantly (P = .001) with AUC 0.952 [0.950, 0.955] and F1 0.759 [0.755, 0.765]. The precision value of the combined model improved from 0.497 to 0.751 with a fixed recall of 0.8. Using the mean absolute SHAP values, we identified the top 20 features, including age, heart rate, Richmond Agitation-Sedation Scale score, Morse fall risk score, pulse, respiratory rate, and level of care.

CONCLUSION

Leveraging LSTM to capture temporal trends and combining it with the LightGBM model can significantly improve the prediction of new onset delirium, providing an algorithmic basis for the subsequent development of clinical decision support tools for proactive delirium interventions.

Impacting Outcomes in the Hospitalized Oncology Patient: Evidence-Informed Quality and Safety Project to Implement Routine Screening for Delirium

Background: Delirium can occur in cancer patients during an acute hospitalization or in the terminal stages of cancer. Iatrogenic delirium can complicate hospital stays for over 2.6 million older persons by increasing fall risk, restraint use, length of stay, postacute placement, and costs. The purpose of this evidence-based quality improvement project was to implement routine screening for delirium with a consistent instrument and adopt an interprofessional plan of care for delirium. Methods: This project was identified as an interprofessional improvement initiative. The project leader identified a deficiency in the screening for delirium, convened stakeholders, evaluated evidence, reviewed screening instruments, and developed a plan of care for delirium management. Practice changes incorporated routine delirium screening across the inpatient units. A delirium interprofessional plan of care was integrated into the electronic health record for ease of adoption and workflow modification. Results: Routine screening for delirium and early interprofessional interventions reduced length of stay by 2.27 days for patients screening positive for delirium. The percentage of inpatient falls that were linked to an episode of delirium during hospitalization reduced from 23.4% to 17%. Discussions: Routine screening and targeted interventions are a first step in prevention and identification of those inpatients at risk of developing delirium. Delirium prevention is the goal for potential associated iatrogenic conditions.

How do predisposing factors differ between delirium motor subtypes? A systematic review and meta-analysis

BACKGROUND

Delirium is a common neurocognitive disorder in hospitalised older adults with vast negative consequences. The predominant method of subtyping delirium is by motor activity profile into hypoactive, hyperactive and mixed groups.

OBJECTIVE

This systematic review and meta-analysis investigated how predisposing factors differ between delirium motor subtypes.

METHODS

Databases (Medline, PsycINFO, Embase) were systematically searched for studies reporting predisposing factors (prior to delirium) for delirium motor subtypes. A total of 61 studies met inclusion criteria (N = 14,407, mean age 73.63 years). Random-effects meta-analyses synthesised differences between delirium motor subtypes relative to 22 factors.

RESULTS

Hypoactive cases were older, had poorer cognition and higher physical risk scores than hyperactive cases and were more likely to be women, living in care homes, taking more medications, with worse functional performance and history of cerebrovascular disease than all remaining subtypes. Hyperactive cases were younger than hypoactive and mixed subtypes and were more likely to be men, with better cognition and lower physical risk scores than all other subtypes. Those with no motor subtype (unable to be classified) were more likely to be women and have better functional performance. Effect sizes were small.

CONCLUSIONS

Important differences in those who develop motor subtypes of delirium were shown prior to delirium occurrence. We provide robust quantitative evidence for a common clinical assumption that indices of frailty (institutional living, cognitive and functional impairment) are seen more in hypoactive patients. Motor subtypes should be measured across delirium research. Motor subtyping has great potential to improve the clinical risk assessment and management of delirium.

A Quality Improvement Study on Delirium Awareness Day: In Pursuit of Missed Delirium Diagnoses

The current study aimed to screen for delirium in hospitalized older adults and assess the validity of the Turkish version of the 4A's Test (4AT-TR) as a feasible tool to integrate in routine patient care. The point prevalence of delirium according to clinical evaluation in routine practice was detected among all patients aged ≥60 years in 12 pilot wards. Delirium screening was then conducted by two arms: (a) nurses using the 4AT-TR and (b) geriatricians according to Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) criteria. Prevalence of delirium according to clinical impression was 3.3% (n = 4), whereas prevalence was 12.4% (n = 17) according to DSM-5 criteria and 13.8% (n = 17) according to the 4AT-TR. The 4AT-TR performed by nurses had a sensitivity of 66.6% and specificity of 93.5%. Area under the receiver operating characteristic curve for delirium diagnosis was 0.819 (p < 0.001). Most delirium cases remain undetected unless a routine and formal delirium assessment is integrated in hospital care of high-risk patients. The 4AT-TR performed by nurses seems to be a valid tool for determining delirium in hospitalized older adults. [Journal of Gerontological Nursing, 48(8), 43-51.].

The effect of delirium information training given to intensive care nurses on patient care: quasi-experimental study

Background

Training programs aiming to improve delirium diagnosis and management skills increase nurses' care efficiency and improve patients' health outcomes. This study was conducted to examine the effect of delirium information training on patient care by intensive care nurses.

Methods

In the research, one group pretest-posttest quasi-experimental design was used. The study sample consisted of 30 nurses working in four intensive care units of a university hospital between November 05, 2018, and February 15, 2019. The Personal Information Form, the Checklist for the Care of the Patient in Delirium, and the Confusion Assessment Scale for the Intensive Care Unit were used to collect the data. Intensive care nurses were provided with information training supported by a training booklet in two sessions of 40 min each.

Results

In the study, according to the Checklist for the Care of the Patient in Delirium, while the pre-test point average of the nurses was 6.17 ± 2.29, the post-test point average had increased to 11.17 ± 1.51 (p < 0.001). After the training, it was determined that there was a significant increase in the percentage of nurses who stated that they evaluated and detected whether their patients had pain, hallucinations, and delusions (p < 0.001). As a result, it has been determined that providing delirium information training to intensive care nurses positively affects the care of patients with delirium. In addition, it has been determined that with the Confusion Assessment Scale for Intensive Care Unit, nurses can provide the care they need to patients at risk in terms of delirium by identifying delirium.

Patient Factors That Influence Reliable Delirium Assessments in a Medical Intensive Care Unit During the Routine Clinical Practice

This study aimed to determine patient and therapeutic characteristics of patients in the medical intensive care unit (MICU) that contribute to inconsistent results of delirium assessments performed during routine clinical practice. Therefore, electronic health records were reviewed and compared with secondary data collected from the same medical ICU patients who were assessed using the Confusion Assessment Method in the ICU (CAM-ICU). Of 5,241 cases involving 762 patients, 827 (15.78%) cases showed disagreement between assessments. Continuous renal replacement therapy, physical restraint use, and altered mental status were factors that increased the likelihood of inconsistencies between assessments. A significant positive correlation was found between the CAM-ICU disagreement rate and the total number of assessments per month. To maximize the reliability of delirium assessments, individual-targeted approaches considering the patient's level of consciousness and type of treatment implemented are required, along with ensuring a stable, and regulated working environment and customized educational programs.

Factors Influencing CAM-ICU Documentation and Inappropriate "Unable to Assess" Responses

BACKGROUND

Detecting delirium with standardized assessment tools such as the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is important, but such detection is frequently hampered by poor documentation and inappropriate "unable to assess" responses (in noncomatose patients).

OBJECTIVE

To identify patient, clinical, and workplace factors that may impede or facilitate appropriate delirium assessment through use of the CAM-ICU, specifically documentation and inappropriate "unable to assess" responses.

METHODS

An electronic health record-based data set was used to quantify CAM-ICU documentation and inappropriate "unable to assess" responses during 24 months. Associated patient (eg, age), clinical (eg, diagnosis), and workplace (eg, geographic location within the ICU, shift) factors were evaluated with multivariable regression.

RESULTS

Of 28 586 CAM-ICU documentation opportunities, 66% were documented; 16% of documentations in alert or lightly sedated patients had inappropriate "unable to assess" responses. Night shift was associated with lower CAM-ICU documentation rates (P = .001), whereas physical restraints and location on side B (rather than side A) of the ICU were associated with higher documentation rates (P < .05 for both). Age older than 80 years, non-White race, intubation, and physical restraints were associated with more inappropriate "unable to assess" responses (all P < .05), as was infusion of propofol, midazolam, dexmedetomidine, or fentanyl (all P < .05).

CONCLUSION

Data from electronic health records can identify patient, clinical, and workplace factors associated with CAM-ICU documentation and inappropriate "unable to assess" responses, which can help target quality improvement efforts related to delirium assessment.

Postoperative Cardiovascular Surgery Delirium: Interrater Agreement Between Nurses and Clinical Nurse Specialist and Factors Associated With Prevalence

PURPOSE

The aims of this study were to examine interrater agreement of delirium between clinical nurses and a clinical nurse specialist, determine delirium subtype prevalence, and examine associated patient, procedure, and hospital factors.

DESIGN

A descriptive cross-sectional design and a convenience sample of nurses and patients on progressive care units were used in this study.

METHODS

Clinical nurse specialist data were collected on a case report form, and clinician and patient data were obtained from electronic databases. Interrater agreement of delirium prevalence was assessed by κ statistic, and logistic regression models were used to determine patient factors associated with delirium.

RESULTS

Of 216 patients, 23 had delirium; clinical nurses identified fewer cases than the clinical nurse specialist: 1.8% versus 10.7%; κ agreement, 0.27 (0.06, 0.49). By delirium subtype, hypoactive delirium was more frequent (n = 10). Factors associated with delirium were history of cerebrovascular disease (odds ratio [95% confidence interval], 2.8 [1.01-7.7]; P = .044), history of mitral valve disease (odds ratio [95% confidence interval], 0.31 [0.09-0.90]; P = .041), and longer perfusion time (odds ratio [95% confidence interval], 1.7 [1.1-2.7]; P = .016). One factor was associated with hypoactive delirium, longer perfusion time (odds ratio [95% confidence interval], 2.2 [1.3-4.2]; P = .008).

CONCLUSIONS

Because clinician-clinical nurse specialist delirium agreement was low and hypoactive delirium was common, clinical interventions are needed.

Prevention of postoperative delirium after cardiovascular surgery: A team-based approach

OBJECTIVE

We investigated the efficacy of the Delirium Team Approach program for delirium prevention after cardiovascular surgery.

METHODS

We retrospectively investigated 256 patients who underwent cardiac or thoracic vascular surgery between May 2017 and May 2020. We compared the outcomes before and after implementation of the Delirium Team Approach program in December 2018. The program included the following components: (a) educational sessions for the medical team regarding delirium and its management, (b) review of preprinted physician orders for insomnia and agitation, and (c) routine screening for delirium. We investigated the early outcomes and effects of the Delirium Team Approach program on postoperative delirium.

RESULTS

The incidence of postoperative delirium significantly decreased from 53.3% to 37.0% after implementation of the Delirium Team Approach program (P = .008). Although no intergroup differences were observed in the rates of stroke and reexploration for bleeding, the length of intensive care unit stay and the overall length of postoperative hospital stay were shorter in the postintervention group. Hospital costs, excluding surgery, and the cost during intensive care unit stay were lower in the postintervention group. Multivariable analysis showed that the Delirium Team Approach program was associated with a reduction in postoperative delirium (odds ratio, 0.38; 95% confidence interval, 0.21-0.67; P = .001). Other predictors of delirium included age, dementia, chronic kidney disease, and intubation time. After risk adjustment using propensity score matching, the rate of postoperative delirium was lower in the postintervention group.

CONCLUSIONS

Implementation of the Delirium Team Approach program was associated with a lower incidence of postoperative delirium in patients who underwent cardiovascular surgery.

The Contribution of Documentation Systems to How Nurses Understand Older People's Cognitive Function in Hospital

Nurses are central to the care of older people in hospital. One issue of particular importance to the experience and outcomes of hospitalized older people is their cognitive function. This article reports findings from a focused ethnographic study demonstrating how documentation systems-documents and the social processes surrounding their use-contribute to how nurses come to understand the cognitive function of hospitalized older people. We found that documents contribute to nurses' understanding by serving as a frame of reference, by directing assessments, and by constraining communication. The findings highlight the potential to improve the documents nurses use in hospitals.

Increased Emergency Department Hallway Length of Stay is Associated with Development of Delirium

Introduction

Our study aimed to determine 1) the association between time spent in the emergency department (ED) hallway and the development of delirium and 2) the hospital location of delirium development.

Methods

This single-center, retrospective chart review included patients 18+ years old admitted to the hospital after presenting, without baseline cognitive impairment, to the ED in 2018. We identified the Delirium group by the following: key words describing delirium; orders for psychotropics, special observation, and restraints; or documented positive Confusion Assessment Method (CAM) screen. The Control group included patients not meeting delirium criteria. We used a multivariable logistic regression model, while adjusting for confounders, to assess the odds of delirium development associated with percentage of ED LOS spent in the hallway.

Results

A total of 25,156 patients met inclusion criteria with 1920 (7.6%) meeting delirium criteria. Delirium group vs. Control group patients spent a greater percentage of time in the ED hallway (median 50.5% vs 10.8%, P<0.001); had longer ED LOS (median 11.94 vs 8.12 hours, P<0.001); had more ED room transfers (median 5 vs 4, P<0.001); and had longer hospital LOS (median 5.0 vs 4.6 days, P<0.001). Patients more frequently developed delirium in the ED (77.5%) than on inpatient units (22.5%). The relative odds of a patient developing delirium increased by 3.31 times for each percent increase in ED hallway time (95% confidence interval, 2.85, 3.83).

Conclusion

Patients with delirium had more ED hallway exposure, longer ED LOS, and more ED room transfers. Understanding delirium in the ED has substantial implications for improving patient safety.

A Survey of Nurses' Perspectives on Delirium Screening in Older Adult Medical Inpatients With Limited English Proficiency

The Confusion Assessment Method (CAM) is commonly used to detect delirium but its utility in patients with limited English proficiency (LEP) is not well-established. In the current study, internal medicine nurses at an acute care hospital in Canada were surveyed on the use of the CAM in older adults with LEP. Nurses' perspectives were explored with a focus on barriers to administration. Fifty participants were enrolled (response rate = 47.6%). Twenty-eight (56%) participants stated they could not confidently and accurately assess delirium in patients with LEP. Twenty-nine (58%) participants believed the CAM is not an effective delirium screening tool in the LEP population. Barriers to screening included: challenges with interpretation services, dependence on family members, and fear that the assessment itself may worsen confusion. Our study is the first to describe specific barriers to administering the CAM in patients with LEP. Strategies are required to address these barriers and optimize delirium screening for patients with LEP. [Journal of Gerontological Nursing, 47(4), 29-34.].

The effect of an educational intervention to improve orthopaedic nurses' knowledge of delirium: A quasi-experimental study

BACKGROUND

Lack of delirium knowledge and its clinical repercussions contributes to the absence of delirium prevention activities in routine clinical practice.

AIM

The aim of this study was to investigate the effectiveness of a delirium awareness educational program on nurses' knowledge about delirium prevention and management.

METHODS

A quasi-experimental (pre-intervention, post-intervention test) design was used to test the effectiveness of an educational intervention using a knowledge survey.

RESULTS

There was no difference in the knowledge scores between the 2 periods for domains 1, 2 3 and 4. However, the median (IQR) knowledge scores for domain 5 (risk factors) and domain 6 (recognising delirium) was higher at post-intervention compared to pre-intervention.

CONCLUSION

A multi-step educational intervention had a positive but small impact on nurses' knowledge of delirium. However, the training was not mandatory and uptake of the training was not as high as hoped. Most nurses preferred ward-based education - combination of formal knowledge delivery and informal practice discussion. Future studies should focus on programs which are ward-based including various of teaching styles.

Identifying and Responding to Delirium in Acute Stroke: Clinical Team Members' Understandings

Delirium is associated with increased mortality, morbidity, and length of hospital stay. In the acute stroke setting, delirium identification is challenging due to the complexity of cognitive screening in this patient group. The aim of this study was to explore how members of interprofessional stroke-unit teams identified and responded to a potential delirium in a patient. Online focus groups and interviews utilizing case vignettes were conducted with 15 participants: nurses, occupational therapists, speech and language therapists, and physiotherapists working in acute stroke services. Participants' understandings of delirium varied, most participants did not identify the symptoms of a possible hypoactive delirium, and nearly all participants discussed delirium symptoms in tentative terms. Aspects of interprofessional working were discussed through the expression of distinct roles around delirium identification. Although participants demonstrated an ethos of person-focused care, there are ongoing challenges involved in early identification and management of delirium in stroke survivors.

Validation of the 3-minute diagnostic interview for CAM-defined Delirium in Chinese older adults

Delirium is a common complication among older adults, but it is often unrecognized in routine practice. The 3-Minute Diagnostic Interview for CAM-defined Delirium (3D-CAM) was developed to identify delirium in the general unit. This prospective diagnostic study was conducted to validate the accuracy of the 3D-CAM Chinese version among older adults in the general units. A total of 204 hospitalized older adults from a geriatric hospital were enrolled in the study, of whom 54 were identified as positive for delirium. The sensitivity and specificity of the 3D-CAM Chinese version were 94% and 97%, respectively. The median duration of assessment using the 3D-CAM was about 3 minutes. The 3D-CAM had highly acceptable sensitivity and specificity when it was used by nurse researchers among Chinese older adults.

A nurse-administered 3-Minute diagnostic interview for CAM-defined Delirium (3D-CAM Chinese version) in hospitalized elderly patients: A validation study

BACKGROUND

Delirium is a common complication in hospitalized elderly patients, yet often remains unrecognized in the clinical care unit. The newly developed 3-Minute Diagnostic Interview for CAM-Defined Delirium (3D-CAM) has high sensitivity and specificity when administered by trained researchers. However, diagnostic characteristics of the 3D-CAM as performed in routine practice are unclear.

OBJECTIVE

To determine the diagnostic characteristics of a Chinese version of the 3D-CAM administered to hospitalized elderly patients by bedside nurses.

DESIGN

A prospective cohort study.

SETTING

A tertiary geriatric hospital in China.

PARTICIPANTS

323 patients and 49 bedside nurses.

METHODS

This prospective cohort study was conducted at a tertiary geriatric hospital in China. A Chinese version of 3D-CAM was administered by trained bedside nurses and compared against the reference standard performed by experienced neurologists using the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. All assessors were blinded to each other's assessment results. Sensitivity and specificity of the 3D-CAM among bedside nurses were analysed by comparing with the reference standard to test the ability of 3D-CAM in detecting delirium.

RESULTS

A total of 323 patients were included in the study, of whom 64 were classified as delirium positive by the neurologists. The 3D-CAM had a sensitivity of 92% (95% confidence interval, 82-97%), specificity of 89% (95% confidence interval, 84-92%), respectively.

CONCLUSION

The Chinese version of 3D-CAM demonstrated good performance as a bedside nurse-administered screening tool for delirium detection among hospitalized Chinese geriatric patients. Registration number: ChiCTR-IOR-17,010,368.

Poststroke Delirium Clinical Motor Subtypes: The PRospective Observational POLIsh Study (PROPOLIS)

OBJECTIVE

Although delirium is the most common neurobehavioral complication after stroke, its motor subtypes-hypoactive, hyperactive, mixed, and none-as well as their risk factors are not well characterized. Motor subtypes influence recognition and prognosis of delirium in hospitalized patients.

METHODS

The aim of this prospective study was to assess the frequency of poststroke delirium subtypes and to describe their predictive models. Consecutive patients with stroke were screened for delirium with the Confusion Assessment Method for the Intensive Care Unit. Delirium was diagnosed according to DSM-5 criteria, and subtypes were classified with the Delirium Motor Subtype Scale-4. Baseline demographic characteristics, biochemistry, stroke-related data, medications, neurological deficits, and premorbid cognitive and functional impairments were assessed.

RESULTS

Out of 750 patients (mean age, 71.75 years [SD=13.13]), 203 (27.07%) had delirium: 85 (11.34%) were hypoactive, 77 (10.27%) were mixed hypoactive-hyperactive, 31 (4.13%) were hyperactive, and 10 (1.33%) had an unspecified type. Cognitive impairment at the time of hospital admission and spatial neglect, among other factors, were identified as the best predictors for all motor delirium subtypes.

CONCLUSIONS

Screening for poststroke delirium is important because the hypoactive subtype bears the worst prognosis and is misdiagnosed the most compared with other subtypes. All identified factors for the predictive models of delirium subtypes are routinely assessed during hospital admission. Their occurrence in patients with stroke should alert the treating physician to the high risk for a particular delirium subtype.

Pain Screening in the Older Adult With Delirium

BACKGROUND

In patients with cognitive impairments who are unable to self-report pain, nurses must rely on behavioral observation tools to assess and manage pain. Although frequently employed in medical-surgical units, evidence supporting the psychometric efficacy of the Pain in Advanced Dementia (PAINAD) for pain screening in older adults with delirium is lacking.

AIM

To examine the psychometrics of the PAINAD for older adults with delirium in medical-surgical settings.

DESIGN

A descriptive repeated measures design.

SETTING

Medical-surgical units in an urban tertiary care hospital.

PARTICIPANTS

Sixty-eight older adults with delirium.

METHODS

Patients with delirium unable to self-report pain were screened by two data collectors with the PAINAD and the Critical Care Pain Observation Tool (CPOT). Patients with a PAINAD score ≥3 or a CPOT score ≥2 received a pain intervention. Pain assessments were repeated 30 minutes post baseline or pain intervention.

RESULTS

Patients were predominately female (58.8%) with dementia (71%). Thirty-nine patients screened positive for pain and received a pain intervention. PAINAD reliability was strong (Cronbach's α = 0.81-0.87; interrater intraclass coefficients [ICC] = 0.91-0.94; test-retest ICC = 0.76-0.77). Construct validity was supported by a statistically significant interaction effect between time (baseline versus follow-up) and condition (pain intervention versus no pain group; Rater 1: F(1,66) = 8.31, p = 0.005, η_p² = 0.11; Rater 2: F(1,66) = 8.22, p = 0.006, η_p² = 0.11.

CONCLUSIONS

The PAINAD is a reliable and valid tool for pain screening for older adults with delirium in medical-surgical settings.

CLINICAL IMPLICATIONS

Pain and delirium frequently co-occur in the older adult population. Best practices require a holistic assessment for contributing pain and non-pain factors in patients exhibiting distress.

Perspectives on the Delirium Experience and Its Burden: Common Themes Among Older Patients, Their Family Caregivers, and Nurses

BACKGROUND AND OBJECTIVES

While there are qualitative studies examining the delirium-related experiences of patients, family caregivers, and nurses separately, little is known about common aspects of delirium burden among all three groups. We describe common delirium burdens from the perspectives of patients, family caregivers, and nurses.

RESEARCH DESIGN AND METHODS

We conducted semistructured qualitative interviews about delirium burden with 18 patients who had recently experienced a delirium episode, with 16 family caregivers, and with 15 nurses who routinely cared for patients with delirium. We recruited participants from a large, urban teaching hospital in Boston, Massachusetts. Interviews were recorded and transcribed. We used interpretive description as the approach to data analysis.

RESULTS

We identified three common burden themes of the delirium experience: Symptom Burden (Disorientation, Hallucinations/Delusions, Impaired Communication, Memory Problems, Personality Changes, Sleep Disturbances); Emotional Burden (Anger/Frustration, Emotional Distress, Fear, Guilt, Helplessness); and Situational Burden (Loss of Control, Lack of Attention, Lack of Knowledge, Lack of Resources, Safety Concerns, Unpredictability, Unpreparedness). These burdens arise from different sources among patients, family caregivers, and nurses, with markedly differing perspectives on the burden experience.

DISCUSSION AND IMPLICATIONS

Our findings advance the understanding of common burdens of the delirium experience for all groups and offer structure for instrument development and distinct interventions to address the burden of delirium as an individual or group experience. Our work reinforces that no one group experiences delirium in isolation. Delirium is a shared experience that will respond best to systemwide approaches to reduce associated burden.

Evaluation of a method to estimate the point prevalence of cognitive impairment and delirium in a multi-campus Australian health service

OBJECTIVE

To design, test (pilot) and implement a study to estimate the point prevalence of cognitive impairment (CI) and delirium in a multi-site health service.

METHODS

Clinicians were trained to use the 4 A's Test (4AT) to screen for cognitive impairment and delirium, and the 3-minute Diagnostic Interview for the Confusion Assessment Method (3D-CAM) to detect delirium in those with abnormal 4AT results. Outcomes of interest were as follows: (a) rates of cognitive impairment and delirium and (b) feasibility of the approach measured by participation rate, "direct survey activity" time, cost and surveyor preparation.

RESULTS

The rates of cognitive impairment and delirium were 43.8% (245/559) and 16.3% (91/559), respectively. 90.5% (563/622) of eligible adult patients from 25 acute and subacute wards were seen. "Direct survey activities" averaged 14 minutes (range 2-45) and cost $11.48 per patient. Training evaluation indicated additional education in the 4AT and 3D-CAM was needed.

CONCLUSION

Health services could use this streamlined, inexpensive method to estimate the point prevalence of cognitive impairment and delirium.

Detection and management of hyperactive and hypoactive delirium in older patients during hospitalization: a retrospective cohort study evaluating daily practice

OBJECTIVES

The objectives of the study are to study daily hospital practice regarding detection and management and to study hyperactive and hypoactive delirium of older patients during their hospitalization.

METHODS

A retrospective cohort study evaluating care as usual for older hospitalized patients with delirium at Maastricht University Medical Center+, a university hospital in the Netherlands, was performed. Inclusion criteria were older hospitalized patients (65+ years), diagnosed with delirium between 1 January and 31 December 2014. Data were retrieved from the patients' medical files. Delirium was categorized as hyperactive or hypoactive. Primary outcome measures were prevalence and management (pharmacological, reorientation, screening for delirium and delirium consultations, and physical restraints). Secondary outcomes were short-term adverse outcomes.

RESULTS

Prevalence of delirium was 5% (N = 401), of which 77% (n = 307) was hyperactive and 23% (n = 94) was hypoactive. Significantly, more patients with a hyperactive delirium received medication to manage the delirium than patients with a hypoactive delirium (89% vs. 77%, respectively, p = 0.004). No other significant differences between the subtypes were found.

CONCLUSION

There was probably a strong under-recognition of delirium. Drugs were the main intervention of choice, especially for patients with hyperactive delirium. The two subtypes did not differ on non-pharmacological management. The retrospective nature of this study sheds light on the status quo of recognition, management, and care as usual for the different delirium subtypes in daily hospital practice, which may help in forming new guidelines and protocols for the detection and treatment of delirium for older patients in hospitals.

Relational ethics of delirium care: Findings from a hospice ethnography

Delirium, a common syndrome in terminally ill people, presents specific challenges to a good death in end-of-life care. This paper examines the relational engagement between hospice nurses and their patients in a context of end-of-life delirium. Ethnographic fieldwork spanning 15 months was conducted at a freestanding residential hospice in eastern Canada. A shared value system was apparent within the nursing community of hospice; patients' comfort and dignity were deemed most at stake and therefore commanded nurses' primary attention. This overarching commitment to comfort and dignity shaped all of nursing practice in this hospice, including practices related to end-of-life delirium. The findings of this study elaborate the ways in which hospice nurses interpreted and responded to the discomfort of their patients in delirium, as well as the efforts they made to understand their patients' subjective experiences and to connect with them in supportive ways. In addition to what is already known about clinical assessment and treatment of delirium in palliative care settings, the findings of this study offer points of reflection for nurses anywhere who are contending with the relational challenges that delirium presents in end-of-life care.

Assessment of Delirium in Intensive Care Unit Patients: Educational Strategies

BACKGROUND

Delirium is an acute brain dysfunction associated with poor outcomes in intensive care unit (ICU) patients. Critical care nurses play an important role in the prevention, detection, and management of delirium, but they must be able to accurately assess for it. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) instrument is a reliable and valid method to assess for delirium, but research reveals most nurses need practice to use it proficiently.

METHOD

A pretest-posttest design was used to evaluate the success of a multimodal educational strategy (i.e., online learning module coupled with standardized patient simulation experience) on critical care nurses' knowledge and confidence to assess and manage delirium using the CAM-ICU.

RESULTS

Participants (N = 34) showed a significant increase (p < .001) in confidence in their ability to assess and manage delirium following the multimodal education. No statistical change in knowledge of delirium existed following the education.

CONCLUSION

A multimodal educational strategy, which included simulation, significantly added confidence in critical care nurses' performance using the CAM-ICU. J Contin Nurs Educ. 2017;48(5):239-244.

Turning education into action: Impact of a collective social education approach to improve nurses' ability to recognize and accurately assess delirium in hospitalized older patients

BACKGROUND

Although cognitive impairment including dementia and delirium is common in older hospital patients, it is not well recognized or managed by hospital staff, potentially resulting in adverse events. This paper describes, and reports on the impact of a collective social education approach to improving both nurses' knowledge of, and screening for delirium.

METHODS

Thirty-four experienced nurses from six hospital wards, became Cognition Champions (CogChamps) to lead their wards in a collective social education process about cognitive impairment and the assessment of delirium. At the outset, the CogChamps were provided with comprehensive education about dementia and delirium from a multidisciplinary team of clinicians. Their knowledge was assessed to ascertain they had the requisite understanding to engage in education as a collective social process, namely, with each other and their local teams. Following this, they developed ward specific Action Plans in collaboration with their teams aimed at educating and evaluating ward nurses' ability to accurately assess and care for patients for delirium. The plans were implemented over five months. The broader nursing teams' knowledge was assessed, together with their ability to accurately assess patients for delirium.

RESULTS

Each ward implemented their Action Plan to varying degrees and key achievements included the education of a majority of ward nurses about delirium and the certification of the majority as competent to assess patients for delirium using the Confusion Assessment Method. Two wards collected pre-and post-audit data that demonstrated a substantial improvement in delirium screening rates.

CONCLUSION

The education process led by CogChamps and supported by educators and clinical experts provides an example of successfully educating nurses about delirium and improving screening rates of patients for delirium.

TRIAL REGISTRATION

ACTRN 12617000563369.

Delirium in older hospitalized patients-signs and actions: a retrospective patient record review

Background

Delirium is common in older hospitalized patients, and is associated with negative consequences for the patients, next of kin, healthcare professionals and healthcare costs. It is important to understand its clinical features, as almost 40% of all cases in hospitals may be preventable. Yet, delirium in hospitalized patients is often unrecognized and untreated. Few studies describe thoroughly how delirium manifests itself in older hospitalized patients and what actions healthcare professionals take in relation to these signs. Therefore, the aim of this study was to describe signs of delirium in older hospitalized patients and action taken by healthcare professionals, as reported in patient records.

Methods

Patient records from patients aged ≥65 (n = 286) were retrospectively reviewed for signs of delirium, which was found in 78 patient records (27%). Additionally, these records were reviewed for action taken by healthcare professionals in relation to the patients’ signs of delirium. The identified text was analyzed with qualitative content analysis in two steps.

Results

Healthcare professionals responded only in part to older hospitalized patients’ needs of care in relation to their signs of delirium. The patients displayed various signs of delirium that led to a reduced ability to participate in their own care and to keep themselves free from harm. Healthcare professionals met these signs with a variation of actions and the care was adapted, deficient and beyond the usual care. A systematic and holistic perspective in the care of older hospitalized patients with signs of delirium was missing.

Conclusion

Improved knowledge about delirium in hospitals is needed in order to reduce human suffering, healthcare utilization and costs. It is important to enable older hospitalized patients with signs of delirium to participate in their own care and to protect them from harm. Delirium has to be seen as a preventable adverse event in all hospitals units. To improve the prevention and management of older hospitalized patients with signs of delirium, person-centered care and patient safety may be important issues.

Exploring nurses' recognition of delirium in the elderly by using Q-methodology

AIM

Despite its high prevalence and seriousness, delirium has been underrecognized by nurses. One reason is that the original characteristics of delirium are relatively unspecific and phenomenologically diverse, which makes a nurse's subjective decision more important in delirium detection. This study aims to identify the experiences, practices, and viewpoints of nurses in recognizing delirium in the elderly.

METHODS

In this study, Q-methodology, which is a method for analyzing subjectivity, was used. Following the steps of Q-methodology, 32 nurses with experiences in caring for the delirious elderly sorted 34 Q-statements into the shape of a normal distribution. A centroid factor analysis and varimax rotation using the PQMethod program were conducted.

RESULTS

This study revealed four factors regarding nurses toward delirium recognition in the elderly. They were: Factor I, prediction from the integrated signs; Factor II, visible symptom-centered detection; Factor III, the detection of abnormal changes based on concentrated observation; and Factor IV, identification by relying on the diagnostic data.

CONCLUSION

The result of the study can help to understand elderly delirium detection more practically from a nurse's point of view. It is expected to be used as a basis for a practical and accessible delirium education for nurses that reflects nurses' subjective viewpoints.

Recognition of Delirium Features in Clinical Practice: Data from the "Delirium Day 2015" National Survey

BACKGROUND/OBJECTIVES

Delirium is underrecognized in clinical practice. The primary aim of the present multicenter study was to compare the ability of nurses to identify delirium features with a standardized assessment. The secondary aim was to identify predictors of missed or incorrect identifications of delirium by nurses.

DESIGN

Point prevalence study in 120 wards across Italy.

SETTING

"Delirium Day 2015."

PARTICIPANTS

Inpatients aged 65 and older (N = 1,867).

MEASUREMENTS

Participants and nurses were asked specific questions to investigate their perceptions of the presence of delirium features (acute cognitive change, inattention, cognitive fluctuations, impaired arousal). Delirium was identified according to the results of the Assessment Test for Delirium and Cognitive Impairment (4AT), completed by a physician. Comorbidities including dementia, disability, drug treatments, and delirium motor subtype according to the Delirium Motor Subtype Scale were recorded.

RESULTS

Delirium was present in 429 subjects (23%) according to the 4AT. Cognitive fluctuations was the delirium feature that the nurses most often recognized. Nurses' perceptions of acute cognitive change, cognitive fluctuations, or impaired arousal had 84% sensitivity and 81% specificity for delirium. The nonmotor subtype of delirium was less likely to be recognized (80%) than the hyperactive (97%), mixed (92%), and hypoactive (90%) subtypes. Incorrect perception of delirium was more frequent in subjects with dementia (specificity 64%).

CONCLUSIONS

The delirium feature that nurses were best able to recognize was cognitive fluctuations. The nonmotor subtype was associated with a lower recognition rate. Routine observation and registration of delirium features by nurses in clinical practice might be helpful to increase formal diagnosis of delirium.

Inter-Rater Reliability and User-Friendliness of the Delirium Observation Screening Scale

BACKGROUND AND PURPOSE

Delirium is a common and often unrecognized complication of hospitalized elderly patients. Currently, there is no evidence for inter-rater reliability studies between registered nurses in the literature. Furthermore, the user-friendliness of the Delirium Observation Screening Scale (DOSS) has not been tested in Austria.

METHODS

A quantitative cross-sectional design with a convenience sample of 141 patients and 36 nurses in an Austrian hospital.

RESULTS

Analysis of rater-agreement and inter-rater reliability on item level, total score as well as category of delirium risk demonstrated very high agreement. In contrast, no or only fair kappa coefficient were determined. The user-friendliness of the scale was partially satisfactory.

CONCLUSIONS

The very high absolute agreement speaks for the reliability of DOSS although the kappa paradox became obvious. The results of the presented study relate only to the tested setting.

Professional Socialization: A Grounded Theory of the Clinical Reasoning Processes That RNs and LPNs Use to Recognize Delirium

Delirium is an acute disorder of attention and cognition. It affects half of older adults in acute care settings and is a cause of increasing mortality and costs. Registered nurses (RNs) and licensed practical nurses (LPNs) frequently fail to recognize delirium. The goals of this research were to identify the reasoning processes that RNs and LPNs use to recognize delirium, to compare their reasoning processes, and to generate a theory that explains their clinical reasoning processes. Theoretical sampling was employed to elicit data from 28 participants using grounded theory methodology. Theoretical coding culminated in the emergence of Professional Socialization as the substantive theory. Professional Socialization emerged from participants' responses and was based on two social processes, specifically reasoning to uncover and reasoning to report. Professional Socialization makes explicit the similarities and variations in the clinical reasoning processes between RNs and LPNs and highlights their main concerns when interacting with delirious patients.