Large observational study on risks predicting emergency department return visits and associated disposition deviations

Outpatient Follow-Up After Rural Emergency Department Discharge: A Quality Improvement Initiative

INTRODUCTION

Patients residing in rural communities experience a gap in health care access, leading to increased emergency department usage and returns. Outpatient follow-up with primary care providers or specialists is instrumental in transitioning from the emergency department to home. Evidence supports the use of post-discharge phone calls to increase adherence with follow-up outpatient appointments and potentially reduce negative sequelae for health care systems and patients.

METHODS

This quality improvement project used a convenience sample of patients aged 18 years and older presenting to a critical-access rural emergency department and discharged home with recommended outpatient follow-up. Two scripted post-discharge phone calls were conducted: initial contact within 72 hours of discharge and second contact between 7 and 10 days after discharge. Resources were provided during phone calls if barriers to timely follow-up were identified.

RESULTS

Implementation of post-discharge phone calls significantly increased outpatient follow-up but had no impact on unplanned emergency department revisits.

DISCUSSION

Post-discharge phone calls addressed potential barriers and effectively increased outpatient follow-up. Implementation of post-emergency department discharge phone calls is recommended to improve primary care or specialist follow-up. Continued tracking of follow-up appointments and emergency department revisits are required.

Critical revisits after discharge from the emergency department

AIMS

Emergency department (ED) revisits within 72 h is a standard quality measure for emergency care but most revisits are managed and discharged. However, a sub-group of revisits are due to clinical deterioration resulting in admissions to higher acuity care or even mortality. We aimed to identify these critical revisits and their associated risk factors. Identification of these factors would allow development of strategies to reduce incidence of post discharge deterioration.

METHODS

A retrospective cohort study was conducted on all patients who had a revisit within 72 h of discharge from the ED of a tertiary hospital in Singapore from 2008 to 2020. Deidentified data were extracted from the electronic health records (EHR). We identified critical revisits, defined as a revisit that resulted in death or admission to Intensive Care Unit or High Dependency. These patients were compared to patients who had a revisit that resulted in discharge or admission to general ward. The main outcome was the rate of critical revisit. We also determined the commonest index and critical revisit ED diagnosis as well as factors associated with critical revisits.

RESULTS

Out of 1,057,533 discharges from the ED over the study period, 44,506 (4.2%) had a revisit within 72 h, of which 1321 (0.12%) were critical revisits. Adjusted odds ratios from multivariable logistic regression analysis indicated that higher heart rate, higher mean arterial pressure, and several lab abnormalities were associated with critical revisits. Diagnosis categories at the initial visit with the highest contribution to the likelihood of a critical revisit included "acute cerebrovascular disease" (OR: 38.00, 95%CI: 27.04-53.39), "other gastrointestinal disorders" (OR: 3.10, 95%CI: 2.41-3.99) and "residual codes; unclassified" (OR: 2.69, 95%CI: 2.01-3.60).

CONCLUSION

Critical revisits after discharge were rare in our study population, most prevalent amongst the elderly with multiple comorbidities. Future research should focus on diagnoses at higher risk of a critical revisit to develop practical approaches to follow up these patients.

Reduced left-without-being-seen rates and impact on disparities after guest services ambassadors implementation

BACKGROUND

The rate of patients who leave without being seen (LWBS) from an emergency department (ED) is a common measurement of quality, operational efficiency, and patient satisfaction. We hypothesized that adding a nonclinical staff role, guest service ambassadors (GSA), to the ED waiting room would decrease LWBS rates and reduce existing differences by race, ethnicity, sex, and primary language for ED patients.

METHODS

We conducted an observational cohort study at a quaternary care academic ED in the Midwestern United States with approximately 60,000 annual visits between April and December 2022. GSAs were trained to guide patients and visitors through the check-in process and help manage the waiting room. LWBS rates were compared between pre- and postimplementation periods using logistic regression. Using two-sample proportion tests, subgroup analyses were performed to assess differences according to race, ethnicity, sex, and primary language.

RESULTS

We analyzed 50,507 ED visits including 9798 during periods of GSA coverage. GSA presence was associated with a reduction in LWBS rate from 3.4% to 2.0% (absolute risk reduction [ARR] of 1.4%, χ2 = 17.357, p < 0.001) with an adjusted odds ratio (OR) of 0.65 (95% confidence interval [CI] 0.49-0.85). There was a greater reduction in LWBS for Black, Indigenous, and people of color (BIPOC) patients compared to White patients (BIPOC ARR 1.8%, 95% CI 0.39%-3.14%; White ARR 1.2%, 95% CI 0.48%-1.94%). There was a reduction in LBWS rates for both males and females (female ARR 1.7%, 95% CI 0.80%-2.63%; male ARR 1.0%, 95% CI 0.06%-1.90%). The reduction in LWBS for patients speaking a language other than English and requiring interpreter services did not meet statistical significance (ARR 1.4%, 95% CI -1.04% to 3.85%).

CONCLUSIONS

Although some disparities remain, our study suggests that GSAs may provide an effective strategy to reduce the overall LWBS rate and reduce disparities across diverse demographic groups including BIPOC and female patients.

Determinants and Prevalence of Paediatrics Return Visits to the Emergency Department in a Tertiary Hospital in Southeast Nigeria: A Retrospective Study

Background

Pediatric Emergency Department (ED) return visits are an essential quality indicator, assessing the adequacy of care provided during the initial consultation, patient management, and subsequent follow-up. Despite the high burden of pediatric emergency cases, there is paucity of data on the prevalence and determinants of return visits in Nigeria. This study therefore aims to determine the prevalence and determinants of pediatric return visits to the ED in a tertiary hospital in Southeast Nigeria.Methods: A retrospective review of medical records was conducted for pediatric patients who visited the ED of the National Obstetric Fistula Center (NOFIC) Abakaliki Ebonyi State, from September 2022 to August 2023. Data on demographics, presenting complaints, diagnoses, investigations, and treatments from initial and return visits were collected and analyzed. Statistical analyses were performed to determine the prevalence of return visits and explore associations with factors such as age, sex, type of caregiver, number of diagnoses, and duration of admission.

Results

Among 181 pediatric patients, 19 (10.5%) had a return visit to the ED. Most of these patients were 0-5 years old (80.7%), with a slightly higher proportion of males (56.9%). The most reported symptoms were fever (77.3%) and vomiting (44.8%), with malaria being the predominant diagnosis at both initial (65 cases) and return visits. Although male children (68.4%) and those with multiple diagnoses had higher return rates, statistical analysis revealed no significant associations between return visits and the examined variables.

Conclusion

The 10.5% prevalence of pediatric return visits to the ED is a clear indicator of the complex relationship between illness severity, the quality of care provided and the health-seeking behavior of care givers in a resource limited health care facility. The study helps to understand some causes of return visits and develop strategies to reduce their occurrence.

ED Revisits Within 72 Hours to a Tertiary Health Care Facility in Dubai: A Descriptive Study

Unplanned emergency department (ED) revisit is one of the major challenges faced by emergency care facilities and reflects their quality of care. It is an important key performance indicator (KPI) for emergency medical care. Often, inadequate medical care by physicians is claimed to be the main cause of unplanned ED revisits, yet this assumption is not well studied in the literature. Thus, this study aimed to identify the causes of unplanned ED revisits within 72 hours from the initial visit to the emergency department which could help in developing an action plan and improve quality of care and patient safety. A retrospective study was conducted in Rashid Hospital Trauma Center, from December 2019 to January 2020, using electronic medical records reviewed by two independent investigators. The reasons for the ED revisits were categorized into the following four domains: illness, physician, patient, and system related. A total of 584 revisits were found which accounted for 1.9% of ED attendance from December 2019 to January 2020. Majority of them were male patients, and 63% of the population had a mean age of 33 years. Majority of the ED revisits were due to illness (54%), followed by patient related (20%), physician related (18%), and system related (8%) factors. Most of the patients were discharged on the second visit. The two most common reasons for revisits in the ED department that were seen within the 72 hours were illness related and patient related, followed by physician related. The cause is mainly rooted in suboptimal discharge plans.

Role of HEART score in evaluating clinical outcomes among emergency department patients with different ethnicities

OBJECTIVE

We aimed to examine the role of the HEART (history, EKG, age, risk factors, and troponin) score in the evaluation of six clinical outcomes among three groups of patients in the emergency department (ED).

METHODS

We performed a retrospective observational study among three ED patient groups including White, Black, and Hispanic patients. ED providers used the HEART score to assess the need for patient hospital admission and for emergent cardiac imaging tests (CITs). HEART scores were measured using classification accuracy rates. Performance accuracies were measured in terms of HEART score in relation to four clinical outcomes (positive findings of CITs, ED returns, hospital readmissions, and 30-day major adverse cardiac events [MACE]).

RESULTS

A high classification accuracy rate (87%) was found for use of the HEART score to determine hospital admission. HEART scores showed moderate accuracy (area under the receiver operating characteristic curve 0.66-0.78) in predicting results of emergent CITs, 30-day hospital readmissions, and 30-day MACE outcomes.

CONCLUSIONS

Providers adhered to use of the HEART score to determine hospital admission. The HEART score may be associated with emergent CIT findings, 30-day hospital readmissions, and 30-day MACE outcomes, with no differences among White, Black, and Hispanic patient populations.

Discharge against medical advice from the emergency department in a university hospital

Background

Patients discharged against medical advice (DAMA) act as a high-risk population for the Emergency Department (ED), regardless of their presentations, and can pose a serious burden for the hospital. This study examines the prevalence, demographic and clinical characteristics, reasons, and clinical outcomes of a small sample of DAMA patients in a teaching university hospital, including readmission, morbidity, and mortality.

Methods

A prospective, descriptive cross-sectional study was conducted in the ED of King Hamad University Hospital (KHUH) with 98,992 patient visits during a 1-year period from June 2018 to June 2019. Consenting DAMA patients were asked to complete a data collection form.

Results

Patients (n = 413) had a mean age of 44.1 years with a female majority (57.1%). The majority were categorized as triage level-3 (87.7%). The main reasons for DAMA included refusal of the procedure/operation (23.2%), long ED waiting time (22.2%), subjective improvement with treatment (17.7%), and children at home (14.8%), whereas the least selected reason was dissatisfaction with medical care (1.2%). Follow-up of DAMA patients revealed that 86 cases (20.8%) were readmitted to the ED within 72 h of which 41 (47.7%) cases were morbidity and 2 (2.3%) were mortality. Marital status was a predictor of DAMA patients who revisit the ED within 72 h.

Conclusion

The results act as a pilot study to examine a small sample of DAMA patients’ characteristics, diagnosis, and ED revisits. Hospitals should investigate further the DAMA population on a larger scale, reasons for refusing procedures, and utilize this knowledge to improve the healthcare process.

Racial and Ethnic Differences in Emergency Department Diagnostic Imaging at US Children's Hospitals, 2016-2019

IMPORTANCE

Diagnostic imaging is frequently performed as part of the emergency department (ED) evaluation of children. Whether imaging patterns differ by race and ethnicity is unknown.

OBJECTIVE

To evaluate racial and ethnic differences in the performance of common ED imaging studies and to examine patterns across diagnoses.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study evaluated visits by patients younger than 18 years to 44 US children's hospital EDs from January 1, 2016, through December 31, 2019.

EXPOSURES

Non-Hispanic Black and Hispanic compared with non-Hispanic White race/ethnicity.

MAIN OUTCOMES AND MEASURES

The primary outcome was the proportion of visits for each race/ethnicity group with at least 1 diagnostic imaging study, defined as plain radiography, computed tomography, ultrasonography, and magnetic resonance imaging. The major diagnostic categories classification system was used to examine race/ethnicity differences in imaging rates by diagnoses.

RESULTS

A total of 13 087 522 visits by 6 230 911 children and adolescents (mean [SD] age, 5.8 [5.2] years; 52.7% male) occurred during the study period. Diagnostic imaging was performed during 3 689 163 visits (28.2%). Imaging was performed in 33.5% of visits by non-Hispanic White patients compared with 24.1% of visits by non-Hispanic Black patients (odds ratio [OR], 0.60; 95% CI, 0.60-0.60) and 26.1% of visits by Hispanic patients (OR, 0.66; 95% CI, 0.66-0.67). Adjusting for confounders, visits by non-Hispanic Black (adjusted OR, 0.82; 95% CI, 0.82-0.83) and Hispanic (adjusted OR, 0.87; 95% CI, 0.87-0.87) patients were less likely to include any imaging study compared with visits by non-Hispanic White patients. Limiting the analysis to only visits by nonhospitalized patients, the adjusted OR for imaging was 0.79 (95% CI, 0.79-0.80) for visits by non-Hispanic Black patients and 0.84 (95% CI, 0.84-0.85) for visits by Hispanic patients. Results were consistent in analyses stratified by public and private insurance groups and did not materially differ by diagnostic category.

CONCLUSIONS AND RELEVANCE

In this study, non-Hispanic Black and Hispanic children were less likely to receive diagnostic imaging during ED visits compared with non-Hispanic White children. Further investigation is needed to understand and mitigate these potential disparities in health care delivery and to evaluate the effect of these differential imaging patterns on patient outcomes.

Risk factors of admission in 72-h return visits to emergency department

Objective:

Return visit to emergency department (ED) is a common phenomenon and has been a clinical indicator of quality of care in ED. Most of previous articles focused on the characteristics of the patients returning within 72 h after ED discharge, while those on subsequent admission are numbered. This study's purpose is to identify risk factors for admission among 72-h return visit in the ED adult population.

Materials and Methods:

This retrospective cohort study was conducted at a medical center in Eastern Taiwan. The study period was from January 1, 2013, to December 31, 2013. We excluded patients who left against medical advice or without being seen, who was admitted or transferred at the index ED visit, whose medical records were incomplete, and whose age was below 18 years old. Significant variables were selected based on univariate analysis and later entered into multivariate logistic regression analysis to identify risk factors for 72-h return admission.

Results:

We identified 1575 eligible visits, and there were 1,119 visits entering into the final analysis. Male gender (odds ratio [OR] = 1.44), ambulance-transport at return visit (OR = 3.68), senior staff (OR = 1.52), work-up (OR = 3.03), and longer length of stay (LOS) were associated with higher risks of admission among ED 72-h return visits. Age, comorbidity, mode of transport at index visit, consultation, triage, type of illness, outpatient department visit between ED visits, and interval between index and return visits were not significantly associated with return admission.

Conclusion:

Gender, mode of transportation, staff experience, check-up, and LOS are associated with ED return admission.

Influence of Overcrowding in the Emergency Department on Return Visit within 72 Hours

This study was conducted to determine whether overcrowding in the emergency department (ED) affects the occurrence of a return visit (RV) within 72 h. The crowding indicator of index visit was the average number of total patients, patients under observation, and boarding patients during the first 1 and 4 h from ED arrival time and the last 1 h before ED departure. Logistic regression analysis was conducted to determine whether each indicator affects the occurrence of RV and post-RV admission. Of the 87,360 discharged patients, 3743 (4.3%) returned to the ED within 72 h. Of the crowding indicators pertaining to total patients, the last 1 h significantly affected decrease in RV (p = 0.0046). Boarding patients were found to increase RV occurrence during the first 1 h (p = 0.0146) and 4 h (p = 0.0326). Crowding indicators that increased the likelihood of admission post-RV were total number of patients during the first 1 h (p = 0.0166) and 4 h (p = 0.0335) and evaluating patients during the first 1 h (p = 0.0059). Overcrowding in the ED increased the incidence of RV and likelihood of post-RV admission. However, overcrowding at the time of ED departure was related to reduced RV.

The impact of a multimodal intervention on emergency department crowding and patient flow

Objective

The objective of this study is to assess the impact of a multimodal intervention on emergency department (ED) crowding and patient flow in a Dutch level 1 trauma center.

Methods

In this cross-sectional study, we compare ED crowding and patient flow between a 9-month pre-intervention period and a 9-month intervention period, during peak hours and overall (24/7). The multimodal intervention included (1) adding an emergency nurse practitioner (ENP) and (2) five medical specialists during peak hours to the 24/7 available emergency physicians (EPs), (3) a Lean programme to improve radiology turnaround times, and (4) extending the admission offices’ openings hours.

Crowding is measured with the modified National ED OverCrowding Score (mNEDOCS). Furthermore, radiology turnaround times, patients’ length of stay (LOS), proportion of patients leaving without being seen (LWBS) by a medical provider, and unscheduled representations are assessed.

Results

The number of ED visits were grossly similar in the two periods during peak hours (15,558 ED visits in the pre-intervention period and 15,550 in the intervention period) and overall (31,891 ED visits in the pre-intervention period vs. 32,121 in the intervention period). During peak hours, ED crowding fell from 18.6% (pre-intervention period) to 3.5% (intervention period), radiology turnaround times decreased from an average of 91 min (interquartile range 45–256 min) to 50 min (IQR 30–106 min., p < 0.001) and LOS reduced with 13 min per patient from 167 to 154 min (p < 0.001). For surgery, neurology and cardiology patients, LOS reduced significantly (with 17 min, 25 min, and 8 min. respectively), while not changing for internal medicine patients. Overall, crowding, radiology turnaround times and LOS also decreased. Less patients LWBS in the intervention period (270 patients vs. 348 patients, p < 0.001) and less patients represented unscheduled within 1 week after the initial ED visit: 864 (2.7%) in the pre-intervention period vs. 645 (2.0%) patients in the intervention period, p < 0.001.

Conclusions

In this hospital, a multimodal intervention successfully reduces crowding, radiology turnaround times, patients’ LOS, number of patients LWBS and the number of unscheduled return visits, suggesting improved ED processes. Further research is required on total costs of care and long-term effects.