Efficacy of intravenous magnesium for the management of non-post operative atrial fibrillation with rapid ventricular response: A systematic review and meta-analysis.

BACKGROUND: Intravenous magnesium (IV Mg), a commonly utilized therapeutic agent in the management of atrial fibrillation (AF) with rapid ventricular response, is thought to exert its influence via its effect on cellular automaticity and prolongation of atrial and atrioventricular nodal refractoriness thus reducing ventricular rate. We sought to undertake a systematic review and meta-analysis of the effectiveness of IV Mg versus placebo in addition to standard pharmacotherapy in the rate and rhythm control of AF in the nonpostoperative patient cohort given that randomized control trials (RCTs) have shown conflicting results. METHODS: Randomized controlled trials comparing IV Mg versus placebo in addition to standard of care were identified via electronic database searches. Nine RCTs were returned with a total of 1048 patients. Primary efficacy endpoints were study-defined rate control and rhythm control/reversion to sinus rhythm. The secondary endpoint was patient experienced side effects. RESULTS: Our analysis found IV Mg in addition to standard care was successful in achieving rate control (odd ratio [OR] 1.87, 95% confidence interval [CI] 1.13-3.11, p = .02) and rhythm control (OR 1.45, 95% CI 1.04-2.03, p = .03). Although not well reported among studies, there was no significant difference between groups regarding the likelihood of experiencing side effects. CONCLUSIONS: IV Mg, in addition to standard-of-care pharmacotherapy, increases the rates of successful rate and rhythm control in nonpostoperative patients with AF with rapid ventricular response and is well tolerated.

The characteristics of SARS-CoV-2-positive children in Australian hospitals: a PREDICT network study.

OBJECTIVES: To examine the clinical characteristics and short term outcomes for children with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections who presented to Australian hospitals during 2020 and 2021. DESIGN, SETTING: Retrospective case review study in nineteen hospitals of the Paediatric Research in Emergency Departments International Collaborative (PREDICT) network from all Australian states and territories, including seven major paediatric tertiary centres and eight Victorian hospitals. PARTICIPANTS: SARS-CoV-2-positive people under 18 years of age who attended emergency departments or were admitted to hospital during 1 February 2020 - 31 December 2021. MAIN OUTCOME MEASURES: Epidemiological and clinical characteristics, by hospital care type (emergency department [ED] or inpatient care). RESULTS: A total of 1193 SARS-CoV-2-positive children and adolescents (527 girls, 44%) attended the participating hospitals (107 in 2020, 1086 in 2021). Their median age was 3.8 years (interquartile range [IQR], 0.8-11.4 years); 63 were Aboriginal or Torres Strait Islander people (5%). Other medical conditions were recorded for 293 children (25%), including asthma (86, 7%) and premature birth (68, 6%). Medical interventions were not required during 795 of 1181 ED presentations (67%); children were discharged directly home in 764 cases (65%) and admitted to hospital in 282 (24%; sixteen to intensive care units). The 384 admissions to hospital (including 102 direct admissions) of 341 children (25 infants under one month of age) included 23 to intensive care (6%); the median length of stay was three days (IQR, 1-9 days). Medical interventions were not required during 261 admissions (68%); 44 children received respiratory support (11%) and 21 COVID-19-specific treatments, including antiviral and biologic agents (5%). Being under three months of age (v one year to less than six years: odds ratio [OR], 2.6; 95% confidence interval [CI], 1.7-4.0) and pre-existing medical conditions (OR, 2.5; 95% CI, 1.9-3.2) were the major predictors of hospital admission. Two children died, including one without a known pre-existing medical condition. CONCLUSION: During 2020 and 2021, most SARS-CoV-2-positive children and adolescents who presented to participating hospitals could be managed as outpatients. Outcomes were generally good, including for those admitted to hospital.

Diabetes mellitus is an independent predictor of obstructive coronary artery disease in patients presenting with atrial fibrillation and elevated troponin.

Atrial fibrillation can present with symptoms of myocardial infarction and elevated troponin, even in the absence of obstructive coronary artery disease (CAD). We sought to determine the characteristics that predict underlying obstructive CAD. Obstructive CAD was far more likely in those with troponin elevation. In those with elevated troponin, diabetes mellitus was an independent predictor of obstructive CAD.

Impact of SARS-CoV-2 transmission-based precautions on inpatient management of general medical patients.

This audit reviewed the impact on access to routine medical care and adverse outcomes in patients with suspected SARS-CoV-2 infection managed on a 'COVID-19' (CV) ward compared with a general medicine ward at Box Hill Hospital, Victoria. Data were collected at two time points to capture changes associated with onsite testing. We found no healthcare delays from admission to CV wards and observed faster exits from CV wards with improved testing efficiency. This critical finding is relevant as Victoria manages a third wave of infections.

Impact of the Canadian CT head rule supplemented by the original published minimum inclusion criteria to assist emergency department clinicians' assessment of patients presenting post fall from residential aged care: a retrospective audit.

BACKGROUND: A large number of CT brain (CTB) scans are ordered in the ED for older patients with a confirmed or possible head strike but no ongoing symptoms of a head injury. This study aimed to evaluate the effect of the Canadian CT head rule supplemented by the original published minimum inclusion criteria to assist clinician assessment of the need for CTB following minimal trauma fall in patients presenting from residential aged care facilities to a major metropolitan emergency department (ED). METHODS: This study was conducted as a pre- and post-intervention retrospective audit. The intervention involved implementation of a decision support tool to help clinicians assess patients presenting to the ED following a fall. The tool integrated the Canadian CT Head Rule (CCHR) in conjunction with a simplified set of inclusion criteria to help clinicians define a minimum threshold for a "minor head injury". Outcome data pertaining to CT brain ordering practices and results were compared over symmetrical 3-month time periods pre- and post-intervention in 2 consecutive years. RESULTS: The study included 233 patients in the pre-intervention arm and 241 in the post-intervention arm. Baseline demographics and clinical characteristics were similar in both groups. There was a 20% reduction in the total number of CTB scans ordered following tool implementation, with 134 (57.0%) scans in the pre-intervention group and 90 (37.3%) in the post-intervention group (p <  0.01). The diagnostic yield in the pre- and post-intervention groups was 3.7 and 5.6% respectively (p = 0.52). No variation was observed in medical management between groups, and no patients in either group underwent neurosurgical intervention. CONCLUSIONS: Use of the CCHR supplemented by the original published minimum inclusion criteria appeared to safely reduce the number of CTB scans performed in residential aged care facility residents presenting to an ED after a fall, with no associated adverse outcomes. A larger study across multiple centres is required to determine widespread efficacy and safety of this tool.

Validation of the ECHS non trauma cranial CT rule in Australia: A prospective cohort study.

INTRODUCTION: Computed tomography (CT) is a commonly used imaging modality in Emergency Departments (EDs), however its use is questionable in many low yield settings. The Emergency CT Head score (ECHS) is a recently published clinical tool that assists in stratifying the need for CT brain (CTB) for patients presenting without a history of trauma. We sought to validate this tool in an Australian ED setting. METHODS: We prospectively evaluated 412 patients who received CTB without a history of trauma at a large Australian ED. We assessed them for the 4 main ECHS data points: focal neurological deficit on physical examination, new acute onset headache, transient neurological deficit, and a combination of new onset seizures with an altered conscious state. We examined their association with acute and chronic CTB findings. We then applied the ECHS to our data, calculating its sensitivity and its appropriateness at this single site via the calculation of a receiver operating curve (ROC). RESULTS: 10.2% of all CTB performed were positive for an acute or chronic abnormality. Only sex (male) and focal motor deficit were independent predictors of positive CTB at univariate analysis. The ECHS did not perform as anticipated in our population, with a ROC area under the curve of 0.498. An ECHS score of >0, which has been proposed as the threshold to not require imaging, had sensitivity of only 83.3% in our population. CONCLUSIONS: Further research and validation is required in order to safely implement the ECHS clinical score in the Australian ED setting.

Interventions for promoting evidence-based guideline-consistent surgery in low back pain: a systematic review and meta-analysis of randomised controlled trials.

PURPOSE: Examine the effectiveness of interventions to approach guideline-adherent surgical referrals for low back pain assessed via systematic review and meta-analysis. METHODS: Five databases (10 September 2021), Google Scholar, reference lists of relevant systematic reviews were searched and forward and backward citation tracking of included studies were implemented. Randomised controlled/clinical trials in adults with low back pain of interventions to optimise surgery rates or referrals to surgery or secondary referral were included. Bias was assessed using the Cochrane ROB2 tool and evidence certainty via Grading of Recommendations Assessment, Development and Evaluation (GRADE). A random effects meta-analysis with a Paule Mandel estimator plus Hartung-Knapp-Sidik-Jonkman method was used to calculate the odds ratio and 95% confidence interval, respectively. RESULTS: Of 886 records, 6 studies were included (N = 258,329) participants; cluster sizes ranged from 4 to 54. Five studies were rated as low risk of bias and one as having some concerns. Two studies reporting spine surgery referral or rates could only be pooled via combination of p values and gave evidence for a reduction (p = 0.021, Fisher's method, risk of bias: low). This did not persist with sensitivity analysis (p = 0.053). For secondary referral, meta-analysis revealed a non-significant odds ratio of 1.07 (95% CI [0.55, 2.06], I2 = 73.0%, n = 4 studies, Grading of Recommendations Assessment, Development and Evaluation [GRADE] evidence certainty: very low). CONCLUSION: Few RCTs exist for interventions to improve guideline-adherent spine surgery rates or referral. Clinician education in isolation may not be effective. Future RCTs should consider organisational and/or policy level interventions. PROSPERO REGISTRATION: CRD42020215137.

Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining.

Length of Stay (LOS) is an important performance metric in Australian Emergency Departments (EDs). Recent evidence suggests that an LOS in excess of 4 h may be associated with increased mortality, but despite this, the average LOS continues to remain greater than 4 h in many EDs. Previous studies have found that Data Mining (DM) can be used to help hospitals to manage this metric and there is continued research into identifying factors that cause delays in ED LOS. Despite this, there is still a lack of specific research into how DM could use these factors to manage ED LOS. This study adds to the emerging literature and offers evidence that it is possible to predict delays in ED LOS to offer Clinical Decision Support (CDS) by using DM. Sixteen potentially relevant factors that impact ED LOS were identified through a literature survey and subsequently used as predictors to create six Data Mining Models (DMMs). An extract based on the Victorian Emergency Minimum Dataset (VEMD) was used to obtain relevant patient details and the DMMs were implemented using the Weka Software. The DMMs implemented in this study were successful in identifying the factors that were most likely to cause ED LOS > 4 h and also identify their correlation. These DMMs can be used by hospitals, not only to identify risk factors in their EDs that could lead to ED LOS > 4 h, but also to monitor these factors over time.

Predicting Ambulance Patient Wait Times: A Multicenter Derivation and Validation Study.

STUDY OBJECTIVE: To derive and internally and externally validate machine-learning models to predict emergency ambulance patient door-to-off-stretcher wait times that are applicable to a wide variety of emergency departments. METHODS: Nine emergency departments provided 3 years (2017 to 2019) of retrospective administrative data from Australia. Descriptive and exploratory analyses were undertaken on the datasets. Statistical and machine-learning models were developed to predict wait times at each site and were internally and externally validated. RESULTS: There were 421,894 episodes analyzed, and median site off-load times varied from 13 (interquartile range [IQR], 9 to 20) to 29 (IQR, 16 to 48) minutes. The global site prediction model median absolute errors were 11.7 minutes (95% confidence interval [CI], 11.7 to 11.8) using linear regression and 12.8 minutes (95% CI, 12.7 to 12.9) using elastic net. The individual site model prediction median absolute errors varied from the most accurate at 6.3 minutes (95% CI, 6.2 to 6.4) to the least accurate at 16.1 minutes (95% CI, 15.8 to 16.3). The model technique performance was the same for linear regression, random forests, elastic net, and rolling average. The important variables were the last k-patient average waits, triage category, and patient age. The global model performed at the lower end of the accuracy range compared with models for the individual sites but was within tolerable limits. CONCLUSION: Electronic emergency demographic and flow information can be used to estimate emergency ambulance patient off-stretcher times. Models can be built with reasonable accuracy for multiple hospitals using a small number of point-of-care variables.

The characteristics of SARS-CoV-2-positive children who presented to Australian hospitals during 2020: a PREDICT network study.

OBJECTIVES: To examine the epidemiological and clinical characteristics of SARS-CoV-2-positive children in Australia during 2020. DESIGN, SETTING: Multicentre retrospective study in 16 hospitals of the Paediatric Research in Emergency Departments International Collaborative (PREDICT) network; eleven in Victoria, five in four other Australian states. PARTICIPANTS: Children aged 0-17 years who presented to hospital-based COVID-19 testing clinics, hospital wards, or emergency departments during 1 February - 30 September 2020 and who were positive for SARS-CoV-2. MAIN OUTCOME MEASURES: Epidemiological and clinical characteristics of children positive for SARS-CoV-2. RESULTS: A total of 393 SARS-CoV-2-positive children (181 girls, 46%) presented to the participating hospitals (426 presentations, including 131 to emergency departments [31%]), the first on 3 February 2020. Thirty-three children presented more than once (8%), including two who were transferred to participating tertiary centres (0.5%). The median age of the children was 5.3 years (IQR, 1.9-12.0 years; range, 10 days to 17.9 years). Hospital admissions followed 51 of 426 presentations (12%; 44 children), including 17 patients who were managed remotely by hospital in the home. Only 16 of the 426 presentations led to hospital medical interventions (4%). Two children (0.5%) were diagnosed with the paediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 (PIMS-TS). CONCLUSION: The clinical course for most SARS-CoV-2-positive children who presented to Australian hospitals was mild, and did not require medical intervention.

The effect of an extended-hours ED clinical pharmacy service on admission medication prescribing errors.

OBJECTIVE: The aim of this study was to determine the effect of a 7-day extended-hours clinical pharmacy service in the ED on medication prescribing errors upon hospital admission and time to medication reconciliation. METHODS: In this retrospective observational study, high-needs patients reviewed by ED pharmacists were compared against those not reviewed, to determine if the service was associated with reduction in admission medication errors. The primary outcome was the rate of medication errors. Errors were independently rated by two senior clinicians using a risk-probability matrix. Secondary outcomes included service's impact on time to best possible medication history (BPMH) and medication reconciliation. RESULTS: There were 242 patients who met the inclusion criteria: 105 intervention vs 137 control. In the intervention arm, 74 patients had at least 1 medication error compared with 113 in the control arm (total errors 206 vs 407). The error rate per 10 medications (interquartile range) was 1.4 (0, 2.9) in the intervention arm compared with 2.7 (1.2, 4.3) in the control arm (risk ratio 0.66 [95% confidence interval: 0.56-0.78]; P < 0.001). There were 33 moderate-risk and no high-risk errors (intervention), compared with 84 moderate-risk and 3 high-risk errors (control). Percent agreement was 98.98% (weighted kappa: 0.62). Time to BPMH and medication reconciliation were reduced from 40.5 and 45.0 h to 7.8 and 40.0 h, respectively. CONCLUSIONS: The 7-day extended-hours ED clinical pharmacy service was associated with a reduction in medication prescribing errors in high-needs patients and improved time to BPMH and medication reconciliation.

Managing falls onsite in residential aged care homes reduced hospitalisation: Mixed methods results from the Falls Outreach and Residential Mobile Assessment Team (FORMAT) pilot study.

OBJECTIVE: Falls are the leading cause of hospital transfer from residential aged care homes (RACHs). However, many falls do not result in significant injury, and ageing patients are exposed to complications while hospitalised. Inreach services are designed to reduce hospital transfer by providing care, support and assessment to residents at the RACH. This study evaluated a pilot inreach program targeting ageing patients following a fall. METHODS: We conducted a prospective, mixed methods evaluation of a 5-month (May-September 2022) pilot implementation across 108 government-funded RACHs within a single health-care network in Melbourne, Australia. RESULTS: A total of 123 residents (median [interquartile range] age: 88 [82, 94] years, female: 49%) were included in the intervention. The majority (n = 116, 94%) of residents were managed onsite and required no further investigation (n = 80, 69%) or treatment (n = 63, 54%). Among the seven residents referred to the emergency department (ED), two received hospital admission and five were transferred back to residential care. In the 7 days following referral to the intervention, four additional residents were referred to the ED and one received hospital admission. Qualitative feedback (n = 40) included specific comments relating to themes of general satisfaction (n = 20, 50%), compliments for staff (n = 16, 40%) and acknowledgement of comprehensiveness (n = 9, 23%). CONCLUSIONS: Implementation of a specialised fall assessment team to complement an existing geriatric-led RACH assessment service meant that a high rate of eligible residents were managed onsite, with very low need for subsequent hospitalisation. Residents, family members and caregivers expressed high rates of satisfaction with the service.

N-95/P2 respirator compliance with fit testing recommendations and respirator satisfaction amongst hospital staff.

BACKGROUND: Filtering Facepiece Respirators (FFRs) are an important and readily scalable infection control measure; however their effectiveness is ultimately determined by compliance. We aimed to examine staff compliance and satisfaction with wearing the N95/P2 FFRs assigned to them via the standardised fit testing protocol implemented in a single large healthcare network in Victoria, Australia. METHODS: In this cross-sectional survey, employees from five hospital campuses who participated in the health networks N95/P2 FFR fit testing process were invited in person to participate in the study. Data were analysed descriptively, after which chi-squared analysis was performed to determine differences between respirator types, gender, and age groups. RESULTS: Amongst the 258 staff members surveyed, 28% had either never or only sometimes worn an FFR to which they had been successfully fit tested, and 11% had experienced facial changes that potentially rendered their most recent fit test invalid. More than half (53%) of those surveyed had experienced side effects, the most common being skin irritation and pressure sores. A majority (87%) of staff felt that wearing an FFR had some impact on their ability to perform their duties. Pooled mean self-reported satisfaction ratings were highest for three-panel flat-fold and duckbill models. CONCLUSION: 28% of HCWs surveyed described not wearing N-95/P2 FFRs for which they had successfully been fit tested. Reasons for non-compliance remain unclear, but rates of side effects and interference with duties were high. Further research is required to determine and address potential causative factors and ascertain ongoing optimal organisation-level fit test strategies.

Experiences of consumers, carers and clinicians during borderline personality disorder presentations to the emergency department-An integrative review.

INTRODUCTION: People with a borderline personality disorder (BPD) diagnosis or symptoms may experience emotional crises which necessitate use of the emergency department (ED). No existing reviews focus specifically on experiences of consumersa, carersb and clinicians in relation to ED presentations by people diagnosed with BPD. AIM/QUESTION: The aim of this study was to synthesise knowledge on consumer, carer and clinician experiences of BPD in the ED. METHOD: An integrative review methodology was chosen as it best captures the complexity of varied perspectives and emergent phenomena from diverse literature sources. EMBASE, CINAHL, PsycInfo and Medline were searched for papers published before 16 February 2022. RESULTS: Nine papers met the inclusion criteria (five qualitative, one quantitative, one mixed methods and two letters to the editor). Key themes were barriers to timely and adequate care, and stigmatising attitudes and practices towards people diagnosed with BPD. Negative attitudes were perceived to perpetuate harmful outcomes and further ED visits. DISCUSSION: Predominantly negative ED experiences were expressed by clinicians, consumers and carers. Further work is needed in ED models of care and staff education to improve the experience of care for consumers, carers and clinicians alike. IMPLICATIONS FOR PRACTICE: Opportunities for change will exist through co-designed innovation, education, advocacy and leadership.

Will code one day run a code? Performance of language models on ACEM primary examinations and implications.

OBJECTIVE: Large language models (LLMs) have demonstrated mixed results in their ability to pass various specialist medical examination and their performance within the field of emergency medicine remains unknown. METHODS: We explored the performance of three prevalent LLMs (OpenAI's GPT series, Google's Bard, and Microsoft's Bing Chat) on a practice ACEM primary examination. RESULTS: All LLMs achieved a passing score, with scores with GPT 4.0 outperforming the average candidate. CONCLUSION: Large language models, by passing the ACEM primary examination, show potential as tools for medical education and practice. However, limitations exist and are discussed.

Feasibility of a rapid diagnosis discussion tool for reducing misdiagnosis of patients presenting to emergency departments with abdominal pain.

OBJECTIVES: Providing accurate and timely diagnoses is challenging in ED settings. We evaluated the feasibility and effectiveness of a short, structured rapid diagnosis discussion (RaDD) between a patient's initial doctor and a second doctor for patients presenting to ED with abdominal pain. METHODS: Controlled pre-post, mixed-methods pilot study in a metropolitan hospital network in Melbourne, Australia. Comparisons were made between an ED using RaDD for a 1-month period (n = 155) and two control EDs within the same hospital network (n = 2227) using standard practices. A short survey of 27 clinicians was also undertaken. RESULTS: Provisional diagnoses changed in 24.7% (95% confidence interval 19.0, 30.4) of all cases for which a RaDD case report sheet was completed, and clinicians' confidence in their decision-making was significantly higher when using RaDD (r = 0.27). RaDD significantly increased the likelihood that patients would be sent to the short stay unit and have a blood test ordered, and significantly reduced the likelihood that patients would be discharged home from the ED or leave at their own risk. Usage of the RaDD tool was low (25.2% of eligible cases), and qualitative feedback indicated that time limitations inhibited uptake. CONCLUSIONS: RaDD encouraged clinicians to take a more cautious, risk-averse approach to care and improved confidence in their diagnostic decisions. However, cost effectiveness of these outcomes and possible implementation barriers need to be further considered in subsequent studies.

Medical student deployment to a single metropolitan hospital during the COVID-19 pandemic: A mixed methods analysis.

OBJECTIVES: To explore student and staff satisfaction with the use of medical students as a surge workforce during the COVID-19 pandemic. METHOD: We conducted a mixed methods analysis of staff and student experiences with the medical student workforce at a single metropolitan ED over an 8-month period between December 2021 and July 2022, using an online survey tool. Students were invited to complete the survey fortnightly, whereas senior medical and nursing staff were invited weekly. RESULTS: There was a 32% response rate for surveys sent to medical student assistants (MSAs) and 18% and 15% for medical and nursing staff, respectively. Most students felt well prepared and supported in the role and would recommend it to other students. They reported that the role allowed them to gain experience and confidence within the ED, especially after much of their learning had moved online throughout the pandemic. Senior nurses and doctors found MSAs to be useful members of the team, largely through their assistance with task completion. Both staff and students recommended a more comprehensive orientation, changes to the supervision model and increased clarity in the students' scope of practice. CONCLUSIONS: The results of the present study provide insight into the use of medical students as an emergency surge workforce. Responses from medical students and staff suggested that the project was beneficial for both groups as well as for overall departmental performance. These findings are likely to be translatable beyond the COVID-19 pandemic setting.

Striving to be the fittest: quantitative P2/N95 respirator fit test results among hospital staff during the COVID-19 pandemic.

Objective: To provide fit rates for specific P2/N95 respirators and compare these results by age, sex, clean-shaven status, and fit tester experience. Design: Exploratory audit involving secondary analysis of existing quantitative fit testing data. Setting: In response to the COVID-19 pandemic, healthcare services across Australia implemented respiratory protection protocols. This study details healthcare workers' (HCWs) fit testing results from a large Victorian public health service. Participants: Fit-tested employees of a large tertiary public health network. Methods: Fit rates for ten individual P2/N95 respirators were calculated, and the effect of age, sex, clean-shaven status, and fit tester experience was examined via logistic regression. Results: 4593 employees were included, with 97.98% successfully fitting at least one respirator. Males were found to have significantly increased odds of achieving fit success compared to females (OR 11.61 95%CI 1.60-84.10). Fit rates dropped by 4% with each 1-year age increase (OR 0.96 95%CI 0.94-0.98). Clean-shaven individuals were also more likely to achieve a fit compared to non-clean-shaved individuals (OR 79.23 95%CI 10.21-614.62). More experienced fit testers also yielded significantly higher fit rates (OR 3.95, 95%CI 2.34-6.67). Conclusions: 98% of staff achieved a successful fitting of at least one respirator, with three-panel flat fold models (Industree Trident, 3M Aura 9320A+, and 3M Aura 1870+) performing the most consistently. An individual's ability to achieve a successful fit was associated with; male sex, younger age, clean-shaven status, and fit tester experience.

Effects of pharmacotherapy on sleep-related outcomes in adults with chronic low back pain: A systematic review and meta-analysis of randomised controlled trials.

Background: Adults with chronic low back pain (CLBP) suffer impaired sleep. Medications for CLBP can impact sleep which in turn may influence treatment outcomes. This systematic review and meta-analysis examined the effects of pharmacotherapy (any type) on sleep in adults with CLBP. Methods: In this systematic review and meta-analysis, we searched PubMed, CINAHL, SPORTDiscus, PsycINFO, EMBASE, and CENTRAL from inception to 10 July 2022. Randomised controlled trials that investigated the effects of pharmacotherapy on sleep in adults with CLBP were included. Manual citation search of relevant systematic reviews and included studies were also conducted. Mean change from baseline for sleep outcomes (e.g., sleep quality, total sleep time, wake after sleep onset) was the effect of interest. Pairwise inverse-variance random effect meta-analysis was performed to impute pooled estimates (Hedges' g or risk ratios). The Hartung-Knapp-Sidik-Jonkman method was used where there were ≤5 studies. The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system was used for evaluating the certainty of evidence. This study was registered with PROSPERO (CRD42022309419). Findings: Assessment of 3959 records resulted in nine studies (n = 2927) being included. Pharmacotherapy for CLBP management had a small, yet unlikely clinically significant, effect on improving sleep in adults with CLBP, when compared to placebo (g [95% CI]: -0.23 [-0.37, -0.09], p = .0009; I 2  = 30.1%; n = 1433; studies: n = 8; GRADE: low). Notably, no eligible studies investigated the effect of sleep medications in this population, despite being within the scope of this review. Interpretation: Pharmacotherapy used to manage CLBP provided improvements in sleep in adults with CLBP. Given that these effects were small and unlikely clinically significant, clinicians could consider alternative treatments (e.g., non-pharmacological interventions) for managing sleep in adults with CLBP. However, low to very low certainty of evidence precluded strong conclusions. To improve certainty of evidence and confidence in the effect estimates, future research needs to use robust method to minimise bias. Additional research evaluating multiple sleep characteristics, using both validated objective and subjective measures, is also warranted to further investigate the influence of distinct sleep parameters. Funding: The Summer Research Scholarship from the Appleton Institute, Central Queensland University, Australia.

Pre-triage wait times for non-ambulance arrivals in the emergency department: A retrospective video audit.

BACKGROUND: Pre-triage emergency department (ED) waiting times can be lengthy when presentation numbers are high. Queuing is random, affecting flow management and patient care. We investigated pre-triage wait times and barriers to triage access at an Australian ED. METHODS: A reviewer conducted a retrospective audit of triage reception security video camera footage (February-March, 2020). The reviewer manually documented self-presenting patients' wait-to-be-seen times and barriers to patient flow. RESULTS: The audit identified three main topics: lengthy pre-triage wait times, pre-triage queuing and observed barriers to triage. Median pre-triage wait time was 12 min (IQR = 5-21; n = 141), with no apparent relationship between patients' wait time and time of arrival. During peak or busy periods, multiple random queues formed at the triage reception area. Triage nurses could not concurrently triage and provide queue control during busy periods. CONCLUSIONS: Unrecorded pre-triage wait times may exceed 20 min. This unseen time may extend beyond the estimated post-triage wait times suggested by the Australasian Triage Scale (ATS). There was a degree of disorder in patient queueing, reducing effective door-to-triage productivity. Larger studies could determine these findings' external replicability, with additional research addressing potential benefits of pre-triage queuing processes or a departmental concierge.