Increased Readmission Risk and Healthcare Cost for Delirium Patients without Immediate Hospitalization in the Emergency Department

Hospitalized Patients with Delirium and 28-Day Unplanned Hospital Readmissions: A Longitudinal Retrospective Cohort Study

OBJECTIVE

To establish the predictors of 28-day unplanned hospital readmissions (28D-UHR) in older adults (aged >65 years) with delirium during index hospital admission.

DESIGN

Retrospective longitudinal cohort study.

SETTING AND PARTICIPANTS

1634 patients (aged >65 years) admitted to a Melbourne quaternary hospital with delirium during index admission.

METHODS

Delirium during hospital admission was defined by the inclusion of one of the following International Classification of Diseases, Tenth Revision, codes F05.0, F05.1, F05.8, or F05.9 in the hospital medical discharge summary. Descriptive statistics were obtained for baseline characteristics. Multivariate logistic regression model was developed to assess predictors of 28D-UHR.

RESULTS

A total of 1634 patients with delirium during their inpatient admission were included, with 9.8% (160 patients) incidence of 28D-UHR. For patients who were readmitted, a shorter length of stay [odds ratio (OR) 0.98, 95% CI 0.96-0.99], higher number of medications on discharge from index admission (OR 1.10, 95% CI 1.06-1.14), and residing in a nursing home preadmission (OR 1.35, 95% CI 1.04-1.75) were associated with 28D-UHR.

CONCLUSIONS AND IMPLICATIONS

This study found that nursing home residence pre index admission, shorter length of stay (LOS), and polypharmacy were predictors of 28D-UHR. Further research into strategies to minimize 28D-UHR is required. Exploration of predischarge pharmacy-driven deprescribing programs and hospital-based postdischarge support for nursing home staff are important areas for future intervention.

The interrelationship between multiple long-term conditions (MLTC) and delirium: a scoping review

INTRODUCTION

Delirium and multiple long-term conditions (MLTC) share numerous risk factors and have been shown individually to be associated with adverse outcomes following hospitalisation. However, the extent to which these common ageing syndromes have been studied together is unknown. This scoping review aims to summarise our knowledge to date on the interrelationship between MLTC and delirium.

METHODS

Searches including terms for delirium and MLTC in adult human participants were performed in PubMed, EMBASE, Medline, Psycinfo and CINAHL. Descriptive analysis was used to summarise findings, structured according to Synthesis Without Meta-analysis reporting guidelines.

RESULTS

After removing duplicates, 5256 abstracts were screened for eligibility, with 313 full-texts sought along with 17 additional full-texts from references in review articles. In total, 140 met inclusion criteria and were included in the final review. Much of the literature explored MLTC as a risk factor for delirium (n = 125). Fewer studies explored the impact of MLTC on delirium presentation (n = 5), duration (n = 3) or outcomes (n = 6) and no studies explored how MLTC impacts the treatment of delirium or whether having delirium increases risk of developing MLTC. The most frequently used measures of MLTC and delirium were the Charlson Comorbidity Index (n = 98/140) and Confusion Assessment Method (n = 81/140), respectively.

CONCLUSION

Existing literature largely evaluates MLTC as a risk factor for delirium. Major knowledge gaps identified include the impact of MLTC on delirium treatment and the effect of delirium on MLTC trajectories. Current research in this field is limited by significant heterogeneity in defining both MLTC and delirium.

Managing Delirium in the Emergency Department: An Updated Narrative Review

Purpose of Review

Emergency departments (EDs) are facing an epidemic of overcrowding and ED boarding, particularly of older adults who often present with, or develop, delirium in the ED. Delirium is associated with increased complications, longer hospital length of stay, mortality, and costs to the healthcare system. However, we only have limited knowledge of how to successfully prevent and treat delirium in the ED in a pragmatic, sustainable, and cost-effective way. We present a narrative review of recent literature of delirium prevention and treatment programs in the ED. We aim to describe the components of successful delirium management strategies to be used by EDs in building delirium management programs.

Recent Findings

We reviewed 10 studies (2005-2023) that report delirium interventions in the ED, and describe the different components of these interventions that have been studied. These interventions included: optimizing hemodynamics and oxygenation, treating pain, hydration and nutrition support, avoiding sedative hypnotics, antipsychotics and anticholinergics, promoting sleep, sensory stimulation, limiting the time spent in the ED, educating providers and staff, and developing multidisciplinary delirium protocols integrated into the electronic health record.

Summary

Through our narrative review of the recent literature on delirium prevention and treatment programs in the ED, we have identified nine components of successful delirium prevention strategies in the ED. We also discuss three high priority areas for further research including identification of most effective components of delirium prevention strategies, conduct of additional high-quality trials in non-hip.

Continuity of care in primary healthcare settings among patients with chronic diseases in Saudi Arabia

Introduction

Maintaining continuity of care is one of the most critical components of providing great care in primary health care. This study aimed to explore continuity of care and its predictors in primary healthcare settings among patients with chronic diseases in Saudi Arabia.

Method

Face-to-face cross-sectional interviews were conducted with patients with chronic diseases who had at least four visits to primary care facilities in Riyadh, Saudi Arabia, between November 1, 2022 and March 3, 2023. We determined patients' continuity of care levels using the Bice-Boxerman continuity of care index. A Tobit regression model was used to determine the effects of several factors on the continuity of care index.

Results

The interviews were conducted with 193 respondents with chronic diseases of interest. The mean continuity of care index of the entire sample was 0.54. Those with asthma had the highest median continuity of care index at 0.75 (interquartile range, 0.62-0.75), whereas those diagnosed with thyroid disease had a much lower continuity of care index (0.47) (interquartile range, 0.3-0.62). Tobit regression model findings showed that employed respondents with poorer general health had a negative effect on continuity of care index levels. By contrast, a higher continuity of care index was significantly associated with elderly respondents, urban residents, and those diagnosed with dyslipidemia, diabetes, hypertension, or asthma.

Conclusions

According to our findings, the continuity of care level in Saudi Arabia's primary healthcare setting is low. The data demonstrate how continuity of care varies among study group characteristics and that improving continuity of care among chronic disease patients in Saudi Arabia is multifaceted and challenging, necessitating a coordinated and integrated healthcare delivery approach.

Delirium in the elderly admitted to an emergency hospital service

ABSTRACT Objective: To check for the presence of delirium in the elderly entering the emergency room (ER) of the University Hospital of Santa Maria (HUSM) and their relationship with sociodemographic variables, reason and time of hospitalization, comorbidities, and death. Methods: A quantitative, cross-sectional exploratory study, which analyzed data from the sociodemographic profile, Confusion Assessment Method, Charlson Comorbidities Index, and follow-up of the outcomes “in-hospital death” and “length of hospitalization.” The period analyzed in the study was between July and December 2019. Results: Of the 732 participants, 394 (53.90%) were men, with an average age of 72 years. The study identified Delirium in 99 (13.52%) participants, and death, in 120 (16.39%). There was an association of this disorder with age, comorbidities, length of hospitalization, death, and some reasons for hospitalization, such as diseases of the circulatory, respiratory and genitourinary systems. Conclusion: The results warn of the high incidence of delirium in emergency units and their relationship with a worse prognosis.

Causes and Predictors of 30-Day Readmission in Elderly Patients With Delirium

Objective

To study 30-day readmission (30-DR) rate and predictors for readmission among elderly patients with delirium.

Methods

This was a retrospective observational cohort study of patients aged ≥65 years with discharge diagnosis of delirium identified from the Nationwide Readmission Database using common International Classification of Diseases, Ninth Revision, and Clinical Modification codes linked to delirium diagnosis. Multivariate logistic regression analyses were performed adjusting for stratified cluster design to identify patient/system-specific factors associated with 30-DR.

Results

Overall, the 30-DR rate was 17% (7,140 of 42,655 weighted index admissions). The common causes of readmission were systemic diseases (43%), infections (27%), and neurologic diseases (18%). Compared with initial hospitalization, readmission costs were higher ($11,442 vs $10,350, p < 0.0001) with a longer length of stay (6.6 vs 6.1 days, p < 0.0001). Independent predictors of readmission included discharge against medical advice (odds ratio [OR] 1.8, p < 0.0034), length of stay (OR 1.3, p < 0.0001), and chronic systemic diseases (anemia, OR 2.4, p < 0.0001, chronic renal failure OR 1.4, p < 0.0001, congestive heart failure OR 1.3, p < 0.0001, lung disease OR 1.2, p < 0.0004, and liver disease OR 1.2, p < 0.03). Private insurance was associated with a lower risk of readmission (OR 0.78, p < 0.02).

Conclusions

The main predictors of readmission were chronic systemic diseases and discharge against medical advice. These data may help design directed clinical care pathways to optimize medical management and postdischarge care to reduce readmission rates.

Delirium Prevention, Detection, and Treatment in Emergency Medicine Settings: A Geriatric Emergency Care Applied Research (GEAR) Network Scoping Review and Consensus Statement

BACKGROUND

Older adult delirium is often unrecognized in the emergency department (ED), yet the most compelling research questions to overcome knowledge-to-practice deficits remain undefined. The Geriatric Emergency care Applied Research (GEAR) Network was organized to identify and prioritize delirium clinical questions.

METHODS

GEAR identified and engaged 49 transdisciplinary stakeholders including emergency physicians, geriatricians, nurses, social workers, pharmacists, and patient advocates. Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews, clinical questions were derived, medical librarian electronic searches were conducted, and applicable research evidence was synthesized for ED delirium detection, prevention, and management. The scoping review served as the foundation for a consensus conference to identify the highest priority research foci.

RESULTS

In the scoping review, 27 delirium detection "instruments" were described in 48 ED studies and used variable criterion standards with the result of delirium prevalence ranging from 6% to 38%. Clinician gestalt was the most common "instrument" evaluated with sensitivity ranging from 0% to 81% and specificity from 65% to 100%. For delirium management, 15 relevant studies were identified, including one randomized controlled trial. Some intervention studies targeted clinicians via education and others used clinical pathways. Three medications were evaluated to reduce or prevent ED delirium. No intervention consistently prevented or treated delirium. After reviewing the scoping review results, the GEAR stakeholders identified ED delirium prevention interventions not reliant on additional nurse or physician effort as the highest priority research.

CONCLUSIONS

Transdisciplinary stakeholders prioritize ED delirium prevention studies that are not reliant on health care worker tasks instead of alternative research directions such as defining etiologic delirium phenotypes to target prevention or intervention strategies.

Patterns of benzodiazepine administration and prescribing to older adults in U.S. emergency departments

OBJECTIVES

Benzodiazepine use in older adults is associated with adverse effects including delirium, mechanical falls, fractures, and memory disturbances. In this study we examine the overall utilization of benzodiazepines in the older adult population in U.S. EDs.

METHODS

Data were compiled from the National Hospital Ambulatory Medical Care Survey 2005-2015. Variables were created to identify all patients over 60 years of age who had and had not been administered benzodiazepines. Bivariate statistical tests were utilized to examine patient demographics, hospital course events and ED/hospital resource allocation and compare older adults administered (in the ED) and prescribed (from the ED) benzodiazepines to those not receiving these agents.

RESULTS

Between 2005 and 2015 approximately 280 million adults over 60 years of age were seen in EDs throughout the U.S. Overall, benzodiazepines were administered in the ED (only) during 8.5 million visits, and prescribed as a prescription (only) during over 1.3 million visits, with the rate increasing from 2.7% in 2005 to 3.5% in 2015 for benzodiazepines were administered in the ED (only). Overall 42.1% (95% CI 38.8-45.2, p < 0.001) of older adults administered benzodiazepines in the ED were subsequently admitted to the hospital. Rates of co-administration and co-prescription of opioid analgesics were high at 19.0% (95% CI 7.3-19.7) and 17.0% (95% CI 7.9-17.4) for those administered benzodiazepines in the ED, and 21.8% (95% CI 16.3-28.5) and 34.5% (95% CI 27.7-42.0) amongst those prescribed benzodiazepines at discharge. In both cases, these groups were no less likely to be administered opioids in the ED than those not receiving benzodiazepines. A total of 1.1% (95% CI 0.69-1.7, p < 0.001) of older adults administered (in the ED) benzodiazepines were diagnosed with delirium in the ED, compared to 0.0004% who were not (95% CI 0.0038-0.0052).

CONCLUSION

Despite the documented risks associated with the utilization of benzodiazepines in older adults, the rate of use in EDs continues to increase. Older adults administered benzodiazepines in the ED were more likely to be admitted to the hospital than those not receiving these agents. Despite the risks associated with co-prescription of benzodiazepines with opioids, those receiving these agents were no less likely to be administered opioids than those who did not. Older adults administered benzodiazepines in the ED were substantially more likely to be diagnosed with delirium in the ED.