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1.
2.
J Pers Med ; 14(2)2024 Feb 09.
Article in English | MEDLINE | ID: mdl-38392628

ABSTRACT

Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. In order to minimize this already increased risk, adequate triage is of foremost importance for fragile geriatric (>75 years old) patients who present to the ED. The admissions of elderly patients from 1 January 2014 to 31 December 2020 were examined, taking into consideration the presence of two different triage systems, a 4-level (4LT) and a 5-level (5LT) triage system. This study analyzes the difference in wait times and under- (UT) and over-triage (OT) in geriatric and general populations with two different triage models. Another outcome of this study was the analysis of the impact of crowding and its variables on the triage system during the COVID-19 pandemic. A total of 423,257 ED presentations were included. An increase in admissions of geriatric, more fragile, and seriously ill individuals was observed, and a progressive increase in crowding was simultaneously detected. Geriatric patients, when presenting to the emergency department, are subject to the problems of UT and OT in both a 4LT system and a 5LT system. Several indicators and variables of crowding increased, with a net increase in throughput and output factors, notably the length of stay (LOS), exit block, boarding, and processing times. This in turn led to an increase in wait times and an increase in UT in the geriatric population. It has indeed been shown that an increase in crowding results in an increased risk of UT, and this is especially true for 4LT compared to 5LT systems. When observing the pandemic period, an increase in admissions of older and more serious patients was observed. However, in the pandemic period, a general reduction in waiting times was observed, as well as an increase in crowding indices and intrahospital mortality. This study demonstrates how introducing a 5LT system enables better flow and patient care in an ED. Avoiding UT of geriatric patients, however, remains a challenge in EDs.

3.
J Clin Med ; 12(20)2023 Oct 18.
Article in English | MEDLINE | ID: mdl-37892725

ABSTRACT

Delirium is a common public health concern that significantly impacts older patients admitted to the Emergency Department (ED). This condition is linked to adverse outcomes such as reduced long-term functionality, higher mortality rates, extended hospital stays, and increased medical costs. The identification of risk factors is crucial for the early recognition and management of delirium in ED patients. Aging, cognitive decline, polypharmacy, and sensory impairment are some of the most common general risk factors described in the literature. Although validated delirium assessment tools already exist, they are not practical for the fast-paced ED environment because of their extended evaluation period or specialized training request. Moreover, clear guidance is needed to select the most suitable tool for detecting delirium, balancing between the accuracy and the swiftness required in an overcrowded, high-stress, and understaffed healthcare setting. This narrative review aims to analyze the updated literature on delirium risk factors in older ED patients and focuses on the methods for better screening, managing, and treating this condition in the ED.

4.
J Clin Med ; 12(14)2023 Jul 18.
Article in English | MEDLINE | ID: mdl-37510865

ABSTRACT

The association between emergency department (ED) length of stay (EDLOS) with in-hospital mortality (IHM) in older patients remains unclear. This retrospective study aims to delineate the relationship between EDLOS and IHM in elderly patients. From the ED patients (n = 383,586) who visited an urban academic tertiary care medical center from January 2010 to December 2016, 78,478 older patients (age ≥60 years) were identified and stratified into three age subgroups: 60-74 (early elderly), 75-89 (late elderly), and ≥90 years (longevous elderly). We applied multiple machine learning approaches to identify the risk correlation trends between EDLOS and IHM, as well as boarding time (BT) and IHM. The incidence of IHM increased with age: 60-74 (2.7%), 75-89 (4.5%), and ≥90 years (6.3%). The best area under the receiver operating characteristic curve was obtained by Light Gradient Boosting Machine model for age groups 60-74, 75-89, and ≥90 years, which were 0.892 (95% CI, 0.870-0.916), 0.886 (95% CI, 0.861-0.911), and 0.838 (95% CI, 0.782-0.887), respectively. Our study showed that EDLOS and BT were statistically correlated with IHM (p < 0.001), and a significantly higher risk of IHM was found in low EDLOS and high BT. The flagged rate of quality assurance issues was higher in lower EDLOS ≤1 h (9.96%) vs. higher EDLOS 7 h

5.
J Patient Saf ; 18(1): e124-e135, 2022 Jan 01.
Article in English | MEDLINE | ID: mdl-32853517

ABSTRACT

OBJECTIVE: The aim of the study was to describe and analyze the risk factors associated with patient safety events (PSEs), defined as adverse events (AEs), preventable AEs (PAEs), and near-miss events (NMEs), in the emergency department (ED). METHODS: It was a retrospective cohort study using ED patients' data retrieved from January 2010 to December 2016. Quality assurance issues (QAIs) used as triggers included the following: issues during procedural sedation, death within 24 hours of admission, patients' and physicians' complaints, returns to the ED within 72 hours, and transfers to an intensive care unit within 24 hours. RESULTS: Of 383,586 ED visits, 6519 (1.7%) QAIs were reported with a PSEs incidence of 6.1%. Among the 397 PSEs, 258 were AEs including 82 PAEs, and 139 NMEs. During the 7-year period, we observed a fourfold increase in NMEs, and despite a decrease in the rate of AEs with the highest (3.1%) and lowest (0.8%) incidence in 2011 and 2016, respectively, the incidence of PAEs events remained relatively constant. Unadjusted analysis showed that ED waiting time, boarding time, ED length of stay (LOS), ED disposition, as well as diagnostic and QAIs were significantly related to PSEs (P < 0.05). Multivariable analysis showed that the type of QAIs and diagnostic were associated with PSEs (P < 0.001). Type of QAIs was a risk factor for AEs and PAEs occurrence and factors involved in NMEs were type of QAIs (P = 0.02) and ED LOS (P < 0.001). "The odds of a PSE occurring increased by 0.2% for each additional minute increase in the ED waiting time, by 5.2% for each additional boarding hour, and by 4.5% for each ED LOS hour." CONCLUSIONS: This study showed several potential risk factors for PSEs, especially ED LOS, type of QAIs, and diagnostic. Systematic interventions might have more impact on risk of PSE.


Subject(s)
Emergency Service, Hospital , Patient Safety , Humans , Length of Stay , Patient Admission , Retrospective Studies , Risk Factors
6.
J Patient Saf ; 18(1): e351-e361, 2022 Jan 01.
Article in English | MEDLINE | ID: mdl-33890752

ABSTRACT

OBJECTIVES: This study aimed to narratively summarize the literature reporting on the effect of teamwork and communication training interventions on culture and patient safety in emergency department (ED) settings. METHODS: We searched PubMed, EMBASE, Psych Info CINAHL, Cochrane, Science Citation Inc, the Web of Science, and Educational Resources Information Centre for peer-reviewed journal articles published from January 1, 1988, to June 8, 2018, that assessed teamwork and communication interventions focusing on how they influence patient safety in the ED. One additional search update was performed in July 2019. RESULTS: Sixteen studies were included from 8700 screened publications. The studies' design, interventions, and evaluation methods varied widely. The most impactful ED training interventions were End-of-Course Critique, Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS), and crisis resource management (CRM)-based training. Crisis resource management and TeamSTEPPS CRM-based training curriculum were used in most of the studies. Multiple tools, including the Kirkpatrick evaluation model, the Agency for Healthcare Research and Quality Hospital Survey on Patient Safety Culture, the TeamSTEPPS Teamwork Attitudes Questionnaire, the Safety Attitudes Questionnaire, and the Communication and Teamwork Skills Assessment, were used to assess the impact of such interventions. Improvements in one of the domains of safety culture and related domains were found in all studies. Four empirical studies established improvements in patient health outcomes that occurred after simulation CRM training (Kirkpatrick 4), but there was no effect on mortality. CONCLUSIONS: Overall, teamwork and communication training interventions improve the safety culture in ED settings and may positively affect patient outcome. The implementation of safety culture programs may be considered to reduce incidence of medical errors and adverse events.


Subject(s)
Patient Care Team , Patient Safety , Communication , Emergency Service, Hospital , Humans , Safety Management
7.
J Clin Med ; 12(1)2022 Dec 21.
Article in English | MEDLINE | ID: mdl-36614835

ABSTRACT

The effect of emergency department (ED) length of stay (EDLOS) on in-hospital mortality (IHM) remains unclear. The aim of this systematic review and meta-analysis was to determine the association between EDLOS and IHM. We searched the PubMed, Medline, Embase, Web of Science, Cochrane Controlled Register of Trials, CINAHL, PsycInfo, and Scopus databases from their inception until 14−15 January 2022. We included studies reporting the association between EDLOS and IHM. A total of 11,337 references were identified, and 52 studies (total of 1,718,518 ED patients) were included in the systematic review and 33 in the meta-analysis. A statistically significant association between EDLOS and IHM was observed for EDLOS over 24 h in patients admitted to an intensive care unit (ICU) (OR = 1.396, 95% confidence interval [CI]: 1.147 to 1.701; p < 0.001, I2 = 0%) and for low EDLOS in non-ICU-admitted patients (OR = 0.583, 95% CI: 0.453 to 0.745; p < 0.001, I2 = 0%). No associations were detected for the other cut-offs. Our findings suggest that there is an association between IHM low EDLOS and EDLOS exceeding 24 h and IHM. Long stays in the ED should not be allowed and special attention should be given to patients admitted after a short stay in the ED.

8.
Cureus ; 13(9): e18355, 2021 Sep.
Article in English | MEDLINE | ID: mdl-34725607

ABSTRACT

Kummell's disease (KD) is a delayed post-traumatic avascular osteonecrosis of the vertebral body secondary to a vertebral compression fracture that can present with back pain. We discuss the importance of an accurate diagnosis and appropriate management of Kummell's disease. Additionally, we aim to increase awareness and promote early diagnosis and treatment to prevent serious complications. A 55-year-old man had been diagnosed with avascular necrosis (AVN) of both hips and had a history of trauma to the left hip ten years ago. Between the initial fall and subsequent presentation, he resumed independent physical activity. At approximately 10 months following his initial injury, he returned to a local emergency department with vague complaints of lower back pain. He was prescribed analgesics for pain and discharged. Subsequently, he experienced a progressive increase in pain and complained of motor deficits of the lower limbs. He presented to our emergency room with acute onset of worsening pain. Magnetic resonance imaging revealed multiple-level compression fractures and a fluid cleft in the L2 intervertebral disc. Surgery was advised, but he did not consent. Therefore, nonsurgical treatment included bed rest, wearing a brace, lumbar traction, analgesics, and medication to prevent osteoporosis. Prompt, accurate diagnosis of Kummell's disease is important for timely, appropriate treatment, which can improve quality of life and prevent comorbidities.

9.
PLoS One ; 15(4): e0231253, 2020.
Article in English | MEDLINE | ID: mdl-32294111

ABSTRACT

IMPORTANCE: Boarding in the emergency department (ED) is a critical indicator of quality of care for hospitals. It is defined as the time between the admission decision and departure from the ED. As a result of boarding, patients stay in the ED until inpatient beds are available; moreover, boarding is associated with various adverse events. STUDY OBJECTIVE: The objective of our systematic review was to determine whether ED boarding (EDB) time is associated with in-hospital mortality (IHM). METHODS: A systematic search was conducted in academic databases to identify relevant studies. Medline, PubMed, Scopus, Embase, Cochrane, Web of Science, Cochrane, CINAHL and PsychInfo were searched. We included all peer-reviewed published studies from all previous years until November 2018. Studies performed in the ED and focused on the association between EDB and IHM as the primary objective were included. Extracted data included study characteristics, prognostic factors, outcomes, and IHM. A search update in PubMed was performed in May 2019 to ensure the inclusion of recent studies before publishing. RESULTS: From the initial 4,321 references found through the systematic search, the manual screening of reference lists and the updated search in PubMed, a total of 12 studies were identified as eligible for a descriptive analysis. Overall, six studies found an association between EDB and IHM, while five studies showed no association. The last remaining study included both ICU and non-ICU subgroups and showed conflicting results, with a positive association for non-ICU patients but no association for ICU patients. Overall, a tendency toward an association between EDB and IHM using the pool random effect was observed. CONCLUSION: Our systematic review did not find a strong evidence for the association between ED boarding and IHM but there is a tendency toward this association. Further well-controlled, international multicenter studies are needed to demonstrate whether this association exists and whether there is a specific EDB time cut-off that results in increased IHM.


Subject(s)
Hospital Mortality , Length of Stay/statistics & numerical data , Emergency Service, Hospital/standards , Humans , Inpatients/statistics & numerical data , Outcome Assessment, Health Care , Patient Admission/statistics & numerical data , Risk Factors , Time Factors
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