Why are there long waits at English emergency departments?

Factors affecting patient length of stay in the emergency unit: A scoping review

BACKGROUND

Despite the recommendation that patients should spend no more than six hours in the emergency department, crowding remains a persistent global health challenge. Extended patient wait times in emergency departments pose a barrier to timely medical care delivery. This scoping review aims to identify the variables increasing patients' length of stay (LOS) in emergency department.

METHOD

This scoping review was conducted by searching PubMed, ScienceDirect, Wiley, Cochrane Library, Global Index Medicus, GARUDA, and Google Scholar, as well as additional secondary searches from 2013 to 2022 and in accordance with the Arksey and O'Malley methodological framework for scoping reviews. Studies were retained if they included primary, qualitative, or quantitative data and reported on patients admitted to the emergency department with their respective LOS.

RESULTS

Of the 914 articles reviewed, 23 met the inclusion criteria. The results of the scoping review identified three main categories of contributory factors for LOS in emergency department: patient, diagnostic tests, and organizational factors.

CONCLUSION

The scoping review identified mitigatable factors to decrease LOS in the emergency department. These insights can help hospitals improve emergency department services by reducing the LOS.

Medical Image sharing: What do the public see when reviewing radiographs? A pilot study

INTRODUCTION

Policymakers wish to extend access to medical records, including medical imaging. Appreciating how patients might review radiographs could be key to establishing future training needs for healthcare professionals and how image sharing could be integrated into practice.

METHOD

A pilot study in the UK using a survey was distributed to adult participants via the online research platform Prolific. All subjects were without prior professional healthcare experience. Participants reviewed ten radiographs (single projection only) and were asked a two-stage question. Firstly, if the radiograph was 'normal' or 'abnormal' and secondly, if they had answered 'abnormal', to identify the abnormality from a pre-determined list featuring generic terms for pathologies.

RESULTS

Fifty participants completed the survey. A mean of 65.8 % of participants were able to correctly identify if radiographs were normal or abnormal. Results in relation to the identification of a pathology were not as positive, but still notable with a mean of 46.4 % correctly identifying abnormalities. Qualitative data demonstrated that members of the public are enthralled with reviewing radiographs and intrigued to understand their performance in identifying abnormalities.

CONCLUSION

In the pilot, members of the public could identify if a radiograph is normal or abnormal to a reasonable standard. Further detailed interpretation of images requires supportive intervention. This pilot study suggests that patients can participate in image sharing as part of their care. Image sharing may be beneficial to the therapeutic relationship, aiding patient understanding and enhancing consultations between healthcare professional and patient. Further research is indicated.

Factors associated with longer wait times, admission and reattendances in older patients attending emergency departments: an analysis of linked healthcare data

BACKGROUND AND OBJECTIVE

Care for older patients in the ED is an increasingly important issue with the ageing society. To better assess the quality of care in this patient group, we assessed predictors for three outcomes related to ED care: being seen and discharged within 4 hours of ED arrival; being admitted from ED to hospital and reattending the ED within 30 days. We also used these outcomes to identify better-performing EDs.

METHODS

The CUREd Research Database was used for a retrospective observational study of all 1 039 251 attendances by 368 754 patients aged 75+ years in 18 type 1 EDs in the Yorkshire and the Humber region of England between April 2012 and March 2017. We estimated multilevel logit models, accounting for patients' characteristics and contact with emergency services prior to ED arrival, time variables and the ED itself.

RESULTS

Patients in the oldest category (95+ years vs 75-80 years) were more likely to have a long ED wait (OR=1.13 (95% CI=1.10 to 1.15)), hospital admission (OR=1.26 (95% CI=1.23 to 1.29)) and ED reattendance (OR=1.09 (95% CI=1.06 to 1.12)). Those who had previously attended (3+ vs 0 previous attendances) were more likely to have long wait (OR=1.07 (95% CI=1.06 to 1.08)), hospital admission (OR=1.10 (95% CI=1.09 to 1.12)) and ED attendance (OR=3.13 (95% CI=3.09 to 3.17)). Those who attended out of hours (vs not out of hours) were more likely to have a long ED wait (OR=1.33 (95% CI=1.32 to 1.34)), be admitted to hospital (OR=1.19 (95% CI=1.18 to 1.21)) and have ED reattendance (OR=1.07 (95% CI=1.05 to 1.08)). Those living in less deprived decile (vs most deprived decile) were less likely to have any of these three outcomes: OR=0.93 (95% CI=0.92 to 0.95), 0.92 (95% CI=0.90 to 0.94), 0.86 (95% CI=0.84 to 0.88). These characteristics were not strongly associated with long waits for those who arrived by ambulance. Emergency call handler designation was the strongest predictor of long ED waits and hospital admission: compared with those who did not arrive by ambulance; ORs for these outcomes were 1.18 (95% CI=1.16 to 1.20) and 1.85 (95% CI=1.81 to 1.89) for those designated less urgent; 1.37 (95% CI=1.33 to 1.40) and 2.13 (95% CI=2.07 to 2.18) for urgent attendees; 1.26 (95% CI=1.23 to 1.28) and 2.40 (95% CI=2.36 to 2.45) for emergency attendees; and 1.37 (95% CI=1.28 to 1.45) and 2.42 (95% CI=2.26 to 2.59) for those with life-threatening conditions. We identified two EDs whose patients were less likely to have a long ED, hospital admission or ED reattendance than other EDs in the region.

CONCLUSIONS

Age, previous attendance and attending out of hours were all associated with an increased likelihood of exceeding 4 hours in the ED, hospital admission and reattendance among patients over 75 years. These differences were less pronounced among those arriving by ambulance. Emergency call handler designation could be used to identify those at the highest risk of long ED waits, hospital admission and ED reattendance.

The association between bed occupancy rates and hospital quality in the English National Health Service

We study whether hospitals that exhibit systematically higher bed occupancy rates are associated with lower quality in England over 2010/11-2017/18. We develop an economic conceptual framework to guide our empirical analysis and run regressions to inform possible policy interventions. First, we run a pooled OLS regression to test if high bed occupancy is associated with, and therefore acts as a signal of, lower quality, which could trigger additional regulation. Second, we test whether this association is explained by exogenous demand-supply factors such as potential demand, and unavoidable costs. Third, we include determinants of bed occupancy (beds, length of stay, and volume) that might be associated with quality directly, rather than indirectly through bed occupancy. Last, we use a within-between random-effects specification to decompose these associations into those due to variations in characteristics between hospitals and variations within hospitals. We find that bed occupancy rates are positively associated with overall and surgical mortality, negatively associated with patient-reported health gains, but not associated with other indicators. These results are robust to controlling for demand-supply shifters, beds, and volume. The associations reduce by 12%-25% after controlling for length of stay in most cases and are explained by variations in bed occupancy between hospitals.

Does increasing the number of beds or health workers contribute to the rational use of scarce public health resources?

Turkey makes substantial investments to increase the number of qualified beds in hospitals, the shortage in health professionals remains one of the main obstacles of the health system in the country. To address this research gap, the study aims to formulate a rational solution for the dilemma on whether to invest in beds or health professionals contribute to the rational use of scarce public health resources. Data for testing the model were derived from the Turkish Statistical Institute across 81 provinces in Turkey. The path analytic approach was used to determine the associations among hospital size, utilization/facility, health workforce, and indicators of health outcomes. The results point to a strong link between quantity of qualified beds, utilization of health services, and facility indicators, and health workforce. Rational use of scarce resources, optimal capacity planning, and increased quantity of health professionals will be beneficial for the sustainability of health care services.

Barriers in Managing Acute Ureteric Colic Clinical Review and Commentary

With the global prevalence of urolithiasis increasing, the presentation of acute ureteric colic to emergency departments (ED) poses a significant burden on healthcare systems globally. Management strategies for ureteric colic encompass medical expulsion therapy and various interventional modalities aimed at urinary diversion or definitive stone management. By examining potential or established barriers to managing acute ureteric colic, we can minimise strain on healthcare providers while maintaining patient outcomes. This review aims to assess barriers to the management of acute ureteric colic through a comprehensive overview of the current literature. Acute ureteric colic barriers will be assessed throughout a patient's disease progression, borrowing a conceptual framework used to assess barriers in cancer care management. Barriers will be discussed in the context of patient-centred access to healthcare, clinical evaluation and diagnosis, and management. Numerous barriers to healthcare have been identified throughout the natural course of acute ureteric colic, both specific and non-specific. Patient-centred barriers typically arise during the initial onset of acute ureteric colic. Originating from patient awareness and access to healthcare, they include barriers founded on race inequalities, cultural beliefs, geographic location, transportation, and the concept of a universal standard of healthcare. Having accessed healthcare, barriers in the management of acute ureteric colic next occur during the clinical evaluation and diagnosis period. These are typically associated with clinical assessment or diagnostic imaging delays, including underutilisation of ultrasound, nurse-led pathways for faster clinical reviews, and general ED delays. The final period during acute ureteric colic management correlates to clinical management. The inherent unpredictable course of ureteral stones leads to poor prognostication and failed initial management modalities. Additionally, this period deals with periprocedural delays and preventative health. Barriers to the management of acute ureteric colic arise during a patient's journey through accessing healthcare. Reviewing barriers allow further research into areas requiring modification to expedite care and improve outcomes.

Recent Updates and Technological Developments in Evaluating Cardiac Syncope in the Emergency Department

Syncope is a commonly encountered problem in the emergency department (ED), accounting for approximately 3% of presenting complaints. Clinical assessment of syncope can be challenging due to the diverse range of conditions that can precipitate the symptom. Annual mortality for patients presenting with syncope ranges from 0-12%, and if the syncope is secondary to a cardiac cause, then this figure rises to 18-33%. In ED, it is paramount to accurately identify those presenting with syncope, especially patients with an underlying cardiac aetiology, initiate appropriate management, and refer them for further investigations. In 2018, the European Society of Cardiology (ESC) updated its guidelines with regard to diagnosing and managing patients with syncope. We highlight recent developments and considerations in various components of the workup, such as history, physical examination, investigations, risk stratification, and novel biomarkers, since the establishment of the 2018 ESC guidelines. We further discuss the emerging role of artificial intelligence in diagnosing cardiac syncope and postulate how wearable technology may transform evaluating cardiac syncope in ED.

Big Data-Enabled Analysis of Factors Affecting Patient Waiting Time in the Nephrology Department of a Large Tertiary Hospital

The length of waiting time has become an important indicator of the efficiency of medical services and the quality of medical care. Lengthy waiting times for patients will inevitably affect their mood and reduce satisfaction. For patients who are in urgent need of hospitalization, delayed admission often leads to exacerbation of the patient's condition and may threaten the patient's life. We gathered patients' information about outpatient visits and hospital admissions in the Nephrology Department of a large tertiary hospital in western China from January 1st, 2014, to December 31st, 2016, and we used big data-enabled analysis methods, including univariate analysis and multivariate linear regression models, to explore the factors affecting waiting time. We found that gender (P=0.048), the day of issuing the admission card (Saturday, P=0.028), the applied period for admission (P < 0.001), and the registration interval (P < 0.001) were positive influencing factors of patients' waiting time. Disease type (after kidney transplantation, P < 0.001), number of diagnoses (P=0.037), and the day of issuing the admission card (Sunday, P=0.001) were negative factors. A linear regression model built using these data performed well in the identification of factors affecting the waiting time of patients in the Nephrology Department. These results can be extended to other departments and could be valuable for improving patient satisfaction and hospital service quality by identifying the factors affecting waiting time.

Worth the wait: The impact of government funding on hospital emergency waiting times

In the absence of a price mechanism, emergency department waiting times act as a rationing device to equate demand for treatment with available supply. Sustained increases to demand stemming from population growth, aging populations, and rising comorbidities has caused waiting times internationally to rise. This has resulted in increased calls for higher funding from governments and commitments from both state and national governments to address excessive waiting times. This paper aims to determine the effectiveness of government funding for improving the median waiting times for treatment and the proportion of patients seen within clinically recommended waiting times. For this purpose, an econometric analysis was conducted on a panel of data on Victorian local health networks over the period 2015-2018. This is supplemented with a discussion of the alternative measures which governments might take to both address demand for emergency treatment, and also ensure that waiting time reductions can be maintained over the long-term.