Predictive value and interrater reliability of mental status and mobility assessment in the emergency department.

AIM: To investigate the predictive value of both mental status, assessed with the AVPUC (Alert, responds to Voice, responds to Pain, Unresponsive, and new Confusion) scale, and mobility assessments, and their interrater reliability (IRR) between triage clinicians and a research team. METHOD: Prospective study of consecutive patients who presented to an ED. Mental status and mobility were assessed by triage clinicians and by a dedicated research team. RESULTS: 4,191 patients were included. After adjustment for age and sex, patients with altered mental status have an odds ratio of 6.55 [4.09-10.24] to be admitted in the ICU and an odds ratio of 21.16 [12.06-37.01] to die within 30 days; patients with impaired mobility have an odds ratio of 7.08 [4.60-11.12] to be admitted in the ICU and an odds ratio of 12.87 [5.93-32.30] to die within 30 days. The kappa coefficient between triage clinicians and the research team for mental status assessment was 0.75, and 0.80 for mobility. CONCLUSION: Assessment of mental status by the AVPUC scale, and mobility by a simple dichotomous scale are suitable for ED triage. Both altered mental status and impaired mobility are associated with adverse outcomes. Mental status and mobility assessment have good interrater reliability.

Clinical Frailty Scale at presentation to the emergency department: interrater reliability and use of algorithm-assisted assessment.

PURPOSE: The Clinical Frailty Scale (CFS) allows health care providers to quickly stratify older patients, to support clinical decision-making. However, few studies have evaluated the CFS interrater reliability (IRR) in Emergency Departments (EDs), and the freely available smartphone application for CFS assessment was never tested for reliability. This study aimed to evaluate the interrater reliability of the Clinical Frailty Scale (CFS) ratings between experienced and unexperienced staff (ED clinicians and a study team (ST) of medical students supported by a smartphone application to assess the CFS), and to determine the feasibility of CFS assignment in patients aged 65 or older at triage. METHODS: Cross-sectional study using consecutive sampling of ED patients aged 65 or older. We compared assessments by ED clinicians (Triage Clinicians (TC) and geriatric ED trained nurses (geriED-TN)) and a study team (ST) of medical students using a smartphone application for CFS scoring. The study is registered on Clinicaltrials.gov (NCT05400707). RESULTS: We included 1349 patients aged 65 and older. Quadratic-weighted kappa values for ordinal CFS levels showed a good IRR between TC and ST (Ï° = 0.73, 95% CI 0.69-0.76), similarly to that between TC and geriED-TN (Ï° = 0.75, 95% CI 0.66-0.82) and between the ST and geriED-TN (Ï° = 0.74, 95% CI 0.63-0.81). A CFS rating was assigned to 972 (70.2%) patients at triage. CONCLUSION: We found good IRR in the assessment of frailty with the CFS in different ED providers and a team using a smartphone application to support rating. A CFS assessment occurred in more than two-thirds (70.2%) of patients at triage.

Assessment of patient mobility improves the risk stratification of triage with the Emergency Severity Index: a prospective cohort study.

BACKGROUND AND IMPORTANCE: Formal triage may assign a low acuity to patients at high risk of deterioration and mortality. A patient's mobility can be easily assessed at triage. OBJECTIVE: To investigate if a simple assessment of mobility at triage can improve the Emergency Severity Index's (ESI) prediction of adverse outcomes. DESIGN, SETTING AND PARTICIPANTS: Prospective observational study of all patients attending the emergency department (ED) of a single academic hospital in Switzerland over a period of 3 weeks. OUTCOME MEASURES AND ANALYSIS: Triage clinicians classified participants as having normal or impaired mobility at triage. Impaired mobility was defined as the lack of a stable independent gait, regardless of its cause or duration (e.g. any patient who needed help to walk). The primary outcome was 30-day mortality. We performed a survival analysis stratified by mobility and ESI level. We compared the performance of regression models including the ESI alone or in combination with mobility as predictors of mortality using the Bayesian information criterion (BIC). MAIN RESULTS: 2523 patients were included in the study and 880 (34.9%) had impaired mobility. Patients with impaired mobility had a lower median 30-day survival in ESI levels 1-3. Survival of patients with normal mobility was similar regardless of their ESI level. CONCLUSION: The assessment of mobility at triage improves the ESI algorithm's risk stratification.

Socioeconomic inequality in telephone triage on triage response, hospitalization and 30-day mortality.

We investigated socioeconomic inequality (measured by the indicators highest attained education level and household income) in telephone triage on triage response (face-to-face contact), hospitalization and 30-day mortality among Danish citizens calling the medical helpline 1813 between 23 January and 9 February 2017. The analysis included 6869 adult callers from a larger prospective cohort study and showed that callers with low socioeconomic status (SES) were less often triaged to a face-to-face contact and had higher 30-day mortality than callers with high SES.

Changes in compensation claim contents following reorganization of emergency hospital care.

OBJECTIVES: To study the effects of the reorganization on patient compensation claim contents relating to health care quality and patient safety. DESIGN AND SETTINGS: Danish emergency care has developed considerably over the past decades, including a major reorganization to improve health care quality and patient safety through ensuring easier access to specialist treatment. Analysis of compensation claim patterns is used to evaluate the effects of such health care system changes. PARTICIPANTS, INTERVENTIONS AND MAIN OUTCOME MEASURES: A sample of 1613 compensation claims to the Danish Patient Assurance organization was reviewed using a standardized taxonomy (the Healthcare Complaints Analysis Tool [HCAT]). Using trend analysis, we compared the proportions of claims categorized under HCAT domains, problem categories and sub-categories before and after the reorganization, with particular emphasis on the 'Clinical problems' domain covering health care quality and patient safety issues. RESULTS: We observed a baseline increase in claims relating to clinical problems (P < 0.01), but this increase was less pronounced following the reorganization. This appeared to be driven mainly by a decrease in claims about clinician skills (P = 0.03) and health care neglects (P = 0.01). However, claims about diagnostic errors and patient outcomes showed a tendency (insignificant) to increase. CONCLUSIONS: Emergency care reorganization apparently has been followed by a shift in claim contents towards fewer claims about health care neglect and staff competencies, although claims about other matters may have become more common. Present analyses of compensation claim trends should be supplemented by effect studies using traditional outcome measures such as mortality and readmission rates.

External validation of a decision tree early warning score using only laboratory data: A retrospective review of prospectively collected data.

INTRODUCTION: Early warning scores (EWS) have been developed to identify the degree of illness severity among acutely ill patients. One system, The Laboratory Decision Tree Early Warning Score (LDT-EWS) is wholly laboratory data based. Laboratory data was used in the development of a rare computerized method, developing a decision tree analysis. This article externally validates LDT-EWS, which is obligatory for an EWS before clinical use. METHOD: We conducted a retrospective review of prospectively collected data based on a time limited sample of all patients admitted through the medical admission unit (MAU) on a Danish secondary hospital. All consecutive adult patients admitted from 2 October 2008 until 19 February 2009, and from 23 February 2010 until 26 May 2010, were included. Validation was made by calculating the discriminatory power as area under the receiver-operating curve (AUROC) and calibration (precision) as Hosmer-Lemeshow Goodness of fit test. RESULTS: A total of 5858 patients were admitted and 4902 included (83.7%). In-hospital mortality in our final dataset (n=4902) was 3.5%. Discriminatory power (95% CI), identifying in-hospital death was 0.809 (0.777-0.842). Calibration was good with a goodness-of-fit test of X2=5.37 (7 degrees of freedom), p=0.62. CONCLUSION: LDT-EWS has acceptable ability to identify patients at high risk of dying during hospitalization with good precision. Further studies performing impact analysis are required before this score should be implemented in clinical practice.

Diagnostic packages can be assigned accurately in emergency departments. A multi-centre cohort study.

INTRODUCTION: In the Region of Southern Denmark, the emergency departments categorise patients based on presenting symptoms and a proposed diagnostic package (n = 40) within each category. The diagnostic packages describe relevant clinical information and standard laboratory and other investigations to be performed. Allocation to the right diagnostic package is assumed to be associated with a higher quality. The aim of this study was to describe to which degree the assigned symptom-based diagnostic packages are related to relevant discharge diagnoses. METHODS: This was a descriptive cohort study. The analysis was based on data on assigned diagnostic package, patient discharge diagnosis, hospital, gender, age, time of admission and discharge, length of stay, diagnostic package assigned, discharge diagnosis and co-morbidity. An acceptable standard for what would be an appropriate primarily diagnostic package was developed using a modified Delphi method. RESULTS: A total of 16,543 patient contacts were identified. Women constituted 52.2% (n = 8,925) of the patients. The median age was 64 years and the median length of stay was one day. All diagnostic packages were represented. A total of 68% of the included patients had been assigned an acceptable diagnostic package (95% confidence interval: 67.2-68.7). We found an appropriate use of one of 30 diagnostic packages in more than 50% of the cases. CONCLUSIONS: We found that 68% of the included patients were assigned an acceptable diagnostic package and that about 80% of all acute pathways were covered by 14 diagnostic packages. FUNDING: The study was funded by Region of Southern Denmark. TRIAL REGISTRATION: The study was registered with the Danish Data Protection Agency (No. 2008-58-0035). No further approval was required.

External validation of the simple clinical score and the HOTEL score, two scores for predicting short-term mortality after admission to an acute medical unit.

BACKGROUND: Clinical scores can be of aid to predict early mortality after admission to a medical admission unit. A developed scoring system needs to be externally validated to minimise the risk of the discriminatory power and calibration to be falsely elevated. We performed the present study with the objective of validating the Simple Clinical Score (SCS) and the HOTEL score, two existing risk stratification systems that predict mortality for medical patients based solely on clinical information, but not only vital signs. METHODS: Pre-planned prospective observational cohort study. SETTING: Danish 460-bed regional teaching hospital. FINDINGS: We included 3046 consecutive patients from 2 October 2008 until 19 February 2009. 26 (0.9%) died within one calendar day and 196 (6.4%) died within 30 days. We calculated SCS for 1080 patients. We found an AUROC of 0.960 (95% confidence interval [CI], 0.932 to 0.988) for 24-hours mortality and 0.826 (95% CI, 0.774-0.879) for 30-day mortality, and goodness-of-fit test, χ(2) = 2.68 (10 degrees of freedom), P = 0.998 and χ(2) = 4.00, P = 0.947, respectively. We included 1470 patients when calculating the HOTEL score. Discriminatory power (AUROC) was 0.931 (95% CI, 0.901-0.962) for 24-hours mortality and goodness-of-fit test, χ(2) = 5.56 (10 degrees of freedom), P = 0.234. CONCLUSION: We find that both the SCS and HOTEL scores showed an excellent to outstanding ability in identifying patients at high risk of dying with good or acceptable precision.

Use of predefined biochemical admission profiles does not reduce the number of tests or total cost: a randomized-controlled pilot study.

OBJECTIVE: The objective of this pilot study was to evaluate whether the use of predefined biochemical profiles as an alternative to individually ordered blood tests by the treating physicians resulted in fewer tests or a lower total cost. PATIENTS AND METHODS: This was a randomized-controlled trial of 191 adult patients admitted to a medical admission unit. Upon admission, the patients were randomized to have their blood tests determined by either using a predefined profile (used routinely and designed by the department head) or ordered individually by the treating physician. All patients were initially assessed by junior physicians. We compared the number of tests, estimated total cost, and length of stay. Data are presented as median (interquartile range). Differences were compared using the Wilcoxon rank-sum test and Fishers' exact test. RESULTS: Ninety-two patients were men, median age 65 years. Patients randomized to the use of the predefined profile had median 17 (14-22) blood tests drawn and patients randomized to physician discretion had median 17 (12-21) tests drawn (P=0.3). The median total cost of tests in the profile group was 618 DKK (493-803) and the cost in the physician group was 564 DKK (434-812) (P=0.19). Length of stay in the profile group was a median of 4 days (2-6 days) and 2 days (2-6 days) in the physician group (P=0.08). CONCLUSION: The use of a predefined blood test panel did not significantly affect the number of tests, total cost, or length of stay for acutely admitted medical patients compared with tests ordered at the discretion of the treating physician.

[Danish emergency departments are not staffed by consultants 24/7]. / Speciallægen er ikke i front på de danske akutafdelinger.

The Danish health care system is undergoing a major reorganisation, resulting in fewer emergency departments (ED) with consultants in attendance 24/7. This questionnaire-based study evaluates the status of the reorganisation with emphasis on physician attendance and recruitment. 76% of the EDs are not staffed by consultants 24/7, 51% report difficulties in recruiting qualified personnel and 33% report problems connected to retaining them. 71% believe that a specialty in emergency medicine could help solve these problems. Danish EDs do not comply with the visions of the reorganisation plan.

Microfinance as a method of facilitating research in emergency medicine.

Microgrants are a novel concept where small grants are used to facilitate research. The concept might have a place in developing emergency medicine research, especially in countries where emergency medicine is not established or in new areas of research. Two examples of the beneficial effects of microgrants in emergency medicine research are described. Emergency medicine interest groups and foundations should consider setting up microgrant schemes.