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Background: Predicting the frequency of calls for telestroke and emergency teleneurology consultation is essential to prepare staffing for the immediate management of time-sensitive strokes. In this study, we evaluate Poisson distribution count data using a generalized linear model that predicts the volume of hourly telestroke calls over a 24-h period. Methods: We performed an Institutional Review Board approved retrospective cohort review of patients (January 2019–December 2022) from an institutional telestroke database at a large nonprofit multihospital system in the United States. All patients ≥18 years with a telestroke activation were included. Telestroke calls were quantified in frequency per day and analyzed by multiple time and date intervals. Poisson probability mass function (PMF) and cumulative distribution function (CDF) were used to predict call probabilities. A univariable Poisson regression model was fit to predict call volumes. Results: A total of 8,499 patients at 21 hospitals met inclusion criteria, the mean calls/day were 5.82 ± 2.54, and mean calls/day within each hour increment ranged from a minimum of 0.07 from 5 a.m. to 6 a.m. to a maximum of 0.45 from 7 p.m. to 8 p.m. The Poisson distribution was the most appropriate parametric probability model for these data, confirmed by the fit of the data to the expected distributions corresponding to the calculated means. The predicted probabilities of call frequencies by hour were calculated using the Poisson PMF and CDF; the probability of two or fewer calls/day by hour ranged from 98.9% to 99.9%. Univariable Poisson regression modeled an increase of future calls/day from 6.7 calls/day in July 2023 to 7.6 calls/day in October 2025. Conclusion: Poisson modeling closely fits telestroke call volumes, predicts the future volumes, and can be applied to any health system in which the mean call volume is known, which may inform the number of physicians needed to cover calls in real-time. [ABSTRACT FROM AUTHOR]

Copyright of Die Unfallchirurgie is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This article explores the relationship between patient volume and mortality in critical care, particularly during pandemic surges. It notes that overall mortality tends to increase with higher patient volume, especially when patients are more severely ill. The impact of surges on mortality is influenced by various factors, including clinician-to-patient ratios, hospital resources, patient diagnoses, and acuity. The article also highlights that ICU bed occupancy is an important metric, but its significance can vary across different healthcare systems. The authors stress the importance of gaining a more detailed understanding of hospital capacity and illness severity to accurately assess the significance of ICU occupancy metrics. The article also discusses the factors contributing to increased mortality rates in ICUs during surges, such as the COVID-19 pandemic. The authors suggest that improvements in therapy and increased experience may have played a role in reducing mortality rates. They also note that ICU bed occupancy is not the sole determinant of patient care, and that staffing levels do not necessarily correlate with mortality rates. The article acknowledges the unique challenges of caring for patients during a pandemic, including the fear of the unknown, high patient acuity, and the impact of personal protective equipment on bedside care. The authors emphasize the need for further research to better understand how surges affect patients and to develop strategies to mitigate these effects in future emergencies. [Extracted from the article]

Objective: In developing staffing plans for emergency departments (EDs), a multifaceted approach must be considered without compromising quality of care, patient safety and personnel satisfaction. This study aims to determine the temporal trend of patient attendance and staffing in a major tertiary hospital ED to assist in establishing an optimal staffing pattern. Methods: A 1-year retrospective ED census review of adult patients at the University of the Philippines-Philippine General Hospital (UP-PGH) was undertaken. One-way analysis of variance (ANOVA) with post hoc Fisher-Hayter pairwise comparisons were utilized to determine if the ED consults and admissions were significantly (P<0.05) associated with the month of the year and day of the week. Results: A total 43,632 consults at the UP-PGH ED, averaging of 3,636 per month or 121 per day, were seen in 2019. Results indicated statistically significant differences between monthly [F (11,353) =16.45; P<0.0001] and between daily means [F (6,358) =4.19; P=0.0004]. The most number of consults occur during August, September, October and November while admissions were highest during April and October. It was busiest during Mondays and afternoon shifts (1400-2200 hours) with majority arriving as urgent in acuity. Mortality was also highest during the afternoon shifts. Conclusion:The temporal variations in patient visits and acuity described in our study can be used as a template for workforce scheduling and resource allocation to meet the demands in the provision of care at the ED. [ABSTRACT FROM AUTHOR]

Purpose: Hospitals involved in the care of severely injured patients treat a varying number of such cases per year. Large hospitals were expected to show a better performance regarding process times in the emergency room. The present investigation analyzed whether this assumption was true, based on a large national trauma registry. Methods: A total of 129,193 severely injured patients admitted primarily to one of 675 German hospitals and documented in the TraumaRegister DGU® were considered for this analysis. The analysis covered a 5 years time period (2013–2017). Hospitals were grouped by their average number of annually treated severe trauma patients into five categories ranging from 'less than 10 patients' to '100 or more'. The following process times were compared: pre-hospital time; time from admission to diagnostic procedures (sonography, X-ray, computed tomography), time from admission to selected emergency interventions and time in the emergency room. Results: Seventy-eight high volume hospitals treated 45% of all patients, while 30% of hospitals treated less than ten cases per year. Injury severity and mortality increased with volume per year. Whole-body computed tomography (WB-CT) was used less frequently in small hospitals (53%) as compared to the large ones (83%). The average time to WB-CT fell from 28 min. in small hospitals to 19 min. in high volume hospitals. There was a linear trend to shorter performance times for all diagnostic procedures (sonography, X-ray, WB-CT) when the annual volume increased. A similar trend was observed for time to blood transfusion (58 min versus 44 min). The median time in the emergency room fell from 74 min to 53 min, but there was no clear trend for the time to the first emergency surgery. Due to longer travel times, prehospital time was about 10 min higher in patients admitted to high volume hospitals compared to patients admitted to smaller local hospitals. Conclusion: Process times in the emergency room decreased consistently with an increase of patient volume per year. This decrease, however, was associated with a longer prehospital time. [ABSTRACT FROM AUTHOR]

Abstract Background To evaluate the impact of the COVID-19 outbreak on patient management at an Otolaryngology Head and Neck Surgery Department at a tertiary care center in Southeast Asia. This is a retrospective review. Patient load and diagnosis at the Outpatient Division of the Otolaryngology Head and Neck Surgery Department were reviewed at the height of the initial wave of the COVID-19 pandemic. Patient-specific data was then compared during the same timeframe one year prior. Patients were then grouped into an additional subspecialty subgroup based upon their diagnosis. Descriptive statistics were analyzed. Results A total of 819 cases were identified in 2019 during the study period. At the peak of the first wave, cases fell to 483, constituting a 41% decrease between the years (p value = 0.083). The largest decrease was in Otology cases with a drop by 53% (p value = 0.047), with the smallest decrease noted in General cases. Laryngology visits overall showed an increase in cases by 41.7%. Moreover, new visits decreased by 35.5%, with the largest decrease in new Laryngology visits and new Head and Neck Oncology cases. New visits for general issues had the smallest drop in patients, decreasing by only 21% (p value = 0.006) Conclusions The COVID-19 pandemic caused a significant decrease in overall cases in the Otolaryngology Head and Neck Surgery outpatient department. Thus, in anticipation of future outbreaks, interventions may be tailored according to these trends.

Introduction: Assessing workload and mitigating burnout risk should be a constant goal within training programs. By using work relative value unit (wRVU) data in a non-elective orthopaedic trauma practice, we investigated seasonal variation in workload on an orthopaedic trauma service at a level I trauma centre. We also investigated whether there was a correlation in seasonal preventable adverse patient safety events (PSEs) and resident Epworth Sleepiness Scale (ESS) scores.Materials and Methods: Data on wRVUs were collected over an 8-year period for a single orthopaedic trauma surgeon with a non-elective practice. Monthly wRVU totals were tabulated over this 8-year period and compared with total hospital orthopaedic surgical trauma volume. The total number of wRVUs and surgical cases analysed were 80,955 and 9,928 respectively. A total of 1,560 PSEs and four years of resident ESS scores were analysed. Data on seasonal variations was evaluated for significance utilizing the Kruskal-Wallis test. WRVUs were then compared to total case volume, PSEs, and resident ESS scores using Spearman's correlation coefficients.Results: We found that wRVUs significantly differed by month (P-value < 0.001) and season (P-value < 0.001) with the highest volume occurring in the summer months. Seasonal variation in wRVUs demonstrated a positive linear correlation with total surgical volume (P-value <0.001) and resident reported ESS scores (P-value = 0.001). PSEs were highest in the summer (P = 0.026), but were not correlated with our findings of seasonal variations in orthopaedic volume (P-value = 0.741).Conclusion: WRVUs of our single surgeon's orthopaedic trauma practice had a seasonal variation with significantly higher volume during the summer. These findings were representative of seasonal variations in total hospital orthopaedic trauma volume and also demonstrated correlation with objective resident sleepiness scores. PSEs were more frequent in the summer but not correlated with seasonal variation in volume. Burnout poses a risk to patient safety and has been shown to be correlated with increased work volume. These topics are important and applicable to various specialties involved in the care of patients with orthopaedic trauma injuries. [ABSTRACT FROM AUTHOR]

We study a real data set of 7,894,947 patients who received service from the University of Michigan Health System (UMHS) from January 1, 2003 to December 31, 2008 using regression analysis to understand the dynamics of patient volume. Our objective is to find out patterns from time series of patient volume during economic crisis. We propose a contribution adjusted formula to understand the dynamics of a heterogeneous customer population. We find that the trend of patient volume for a health system is positively correlated to the trend of the underlying adjusted resident population and to the GDP rates and negatively correlated to annual unemployment rate. We also find that the percent change of patient volume in a health system depends on the threshold level curves of resident population and unemployment rate with nonlinear behavior. Our multiple regression model with quadratic response surface explains 98.9% of the variation. Moreover, the multiple regression model having lag 1 with interaction term explains 96.5% of the variation. Furthermore, we propose several models having dummy variables using localities for patient groups. Overall, our results suggest that people use more health services when they have enough income, job and health insurance. [ABSTRACT FROM AUTHOR]

Many dermatologists have experienced significant changes to their practices due to the COVID-19 pandemic. It is vital to recognize how the pandemic has affected dermatology practices and identify methods to maximize clinical efficiency while maintaining patient safety. Private practice dermatologists in metropolitan areas were interviewed regarding various issues, including patient volume, types of visits or procedures being performed, screening for COVID-19, and operational modifications. On average, there was a 65.2% decrease in patient volume during the initial surge of the COVID-19 outbreak, which was improved to a 15.5% decrease in July 2020. Despite this reduction in patient volume, the proportion of acute dermatologic issues, biopsies performed, and skin cancer concerns were all increased compared to pre-COVID. All of the dermatologists reported notable changes in regards to scheduling, staff, operations, and workplaces. Interview participants were limited to metropolitan dermatologists mainly within the California region. Improving patient communication, implementing protocols to facilitate social distancing, and utilizing teledermatology were reported to be essential to optimizing efficiency and safety. As the COVID-19 pandemic continues to evolve, it is important that dermatologists identify specific ways to practice efficiently and effectively, while mitigating the spread of the virus. [ABSTRACT FROM AUTHOR]

Abstract Background Some jurisdictions restrict primary care physicians’ daily patient volume to safeguard quality of care for complex patients. Our objective was to determine whether people with dementia receive lower-quality care if their primary care physician sees many patients daily. Methods Population-based retrospective cohort study using health administrative data from 100,256 community-living adults with dementia aged 66 years or older, and the 8,368 primary care physicians who cared for them in Ontario, Canada. Multivariable Poisson GEE regression models tested whether physicians’ daily patient volume was associated with the adjusted likelihood of people with dementia receiving vaccinations, prescriptions for cholinesterase inhibitors, benzodiazepines, and antipsychotics from their primary care physician. Results People with dementia whose primary care physicians saw ≥ 30 patients daily were 32% (95% CI: 23% to 41%, p

BackgroundTo examine the association between hospital and clinician obstetric volume and postpartum infection risk in the pre- and postdischarge periods.MethodsWe used data from the 2011 New York State Inpatient and Emergency Department Databases to fit generalized estimating equation models to examine the effect of hospital and clinician obstetric volume on infection before discharge and in the 30 days after discharge after delivery.ResultsHigher clinician volume was associated with lower predischarge infection risk (odds ratio [OR] for first vs third quartile was 0.84; 95% confidence interval [CI], 0.77-0.98). There was an uncertain trend toward higher predischarge infection risk in higher volume hospitals (OR for first vs third quartile was 1.36; 95% CI, 0.79-2.34). We found no associations between patient volumes and postdischarge infections; however, power was insufficient to rule out small associations. The joint association of hospital and clinician volumes with postdischarge infection appeared submultiplicative (product term OR = 0.95; 95% CI, 0.92-0.98).ConclusionThis study adds to the evidence that hospital obstetric volume is positively associated with predischarge postpartum infections, whereas clinician volume may be negatively associated with those predischarge infections. The associations between hospital obstetric volume and postdischarge infection appear to differ. These results underscore the importance of including postdischarge follow-up in hospital-based studies of postpartum infection.

Objective: The number and type of patients treated by trauma centers can vary widely because of a number of factors. There might be trauma centers with a high volume of torso GSWs that are not designated as high-level trauma centers. We proposed that, for torso gunshot wounds (GSWs), the treating hospital's trauma volume and not its trauma center level designation drives patient prognosis. Methods: The National Trauma Data Bank was queried for torso GSWs. The characteristics of torso GSWs in trauma centers with different volumes of torso GSWs were compared. The association between torso GSW volumes of trauma centers and the outcomes of torso GSWs were evaluated with propensity score matching (PSM) and multivariate logistic regression (MLR) analysis. Results: There were 618 trauma centers that treated 14,804 torso GSW patients in two years (2014-2015). In 191 level I trauma centers, 82 of them (42.9%, 82/191) treated <1 torso GSW per month. After well-balanced PSM, patients who were treated in higher volume trauma centers (≥9 torso GSWs/month) had a significantly lower mortality rate (7.9% vs. 9.7%). Patients treated in trauma centers with ≥9 torso GSWs/month had a 30.9% (odds ratio = 0.764) lower probability of death than if sent to trauma centers with <9 torso GSWs/month. Treatment in level I or II trauma centers did not significantly affect mortality. Conclusion: There is an uneven distribution of torso GSWs among trauma centers. Torso GSWs treated in trauma centers with ≥9 torso GSWs/month have significantly superior outcomes with regard to survival. [ABSTRACT FROM AUTHOR]

Abstract Objective We sought to assess the effect of National Football League (NFL) games played by a regional sports team, the New England Patriots, on emergency department (ED) patient volume. Methods We conducted a multicenter, retrospective chart review at the following 3 tertiary centers in New England from 2012 to 2019: Beth Israel Deaconess Medical Center, Boston, MA; Dartmouth Hitchcock Medical Center, Lebanon, NH; and Maine Medical Center, Portland, ME. Results Within the NFL season, we observed a 2.6% overall decrease (−10.4 patients) in average total daily volume across the study sites on Sundays when Patriots games were played compared with Sundays when games were not played (P = 0.07; 95% confidence interval [CI], −22.37 to 1.62). We observed a 4.3% reduction (−19.0 patients) in average total daily volume across the study sites on Mondays during which Patriots games were played compared with Mondays without games (P = 0.15; 95% CI, −43.51 to 5.47). Subanalyses on the 5‐hour period corresponding with each Patriots game showed reductions in mean patient volume per hour. Although our primary and subanalyses showed reductions in patient volume during Patriots games, these results were not statistically significant. Conclusions Our data support prior studies that showed a minimal impact of major sporting events on ED patient volume at tertiary centers. These results add to the limited data on this topic and can inform administrators whether staffing adjustments are necessary during similar types of sporting events.

Background: During a novel virus pandemic, predicting emergency department (ED) volume is crucial for arranging the limited medical resources of hospitals for balancing the daily patient- and epidemic-related tasks in EDs. The goal of the current study was to detect specific patterns of change in ED volume and severity during a pandemic which would help to arrange medical staff and utilize facilities and resources in EDs in advance in the event of a future pandemic.Methods: This was a retrospective study of the patients who visited our ED between November 1, 2019 and April 30, 2020. We evaluated the change in ED patient volume and complexity of patients in our medical record system. Patient volume and severity during various periods were identified and compared with data from the past 3 years and the period that SARS occurred.Results: A reduction in ED volume was evident. The reduction began during the early epidemic period and increased rapidly during the peak period of the epidemic with the reduction continuing during the late epidemic period. No significant difference existed in the percentages of triage levels 1 and 2 between the periods. The admission rate, length of stay in the ED, and average number of patients with out-of-hospital cardiac arrest increased during the epidemic periods.Conclusion: A significant reduction in ED volume during the COVID-19 pandemic was noted and a predictable pattern was found. This specific change in pattern in the ED volume may be useful for performing adjustments in EDs in the future during a novel virus pandemic. The severity of patients visiting the ED during epidemic periods was inconclusive. [ABSTRACT FROM AUTHOR]

• Conventional wisdom is that major trauma services (MTS) treating larger volumes of severe trauma patients will have better outcomes than lower volume centres, but recent studies from europe have questioned this relationship. • In this registry based study of the NSW trauma system we were unable to demonstrate a difference in mortality between MTS with higher vs lower volumes, although hospital length of stay was significantly longer in high volume centres. • In mature trauma systems in jurisdictions with socialised systems of health care and low rates of penetrating trauma MTS capability may be more important to outcome than patient volume. Conventional wisdom is that Major Trauma Services (MTS) treating larger volumes of severe trauma patients will have better outcomes than lower volume centres, but recent studies from Europe have questioned this relationship. We aimed to determine if there is a relationship between patient volume and outcome in New South Wales (NSW) MTS hospitals. Retrospective observational study using data from the NSW State Trauma Registry from 2010 to 2019 inclusive. Adult patients with Injury Severity Score >15 transported directly to a NSW MTS were included. Outcome measures were mortality at hospital discharge, and intensive care unit and hospital length of stay. Generalised estimating equation models were created to determine the adjusted relationship between patient volume and the main outcome measures. The mean annual patient volume of the MTS ranged from 127.4 to 282.0 patients whilst the observed mortality rates p.a. ranged from 10.4 % to 17.19 %. Multivariate analysis, using low volume MTS as the reference, did not demonstrate a significant difference in mortality between high and low volume MTS (adjusted OR: 1.14 95 % CI: 0.98–1.25, P = 0.087). There was however a significant correlation between volume and length of hospital stay (adjusted β; 0.024, 95 % CI, 0.182 – 1.089, P = 0.006). There was no mortality difference between high and low volume MTS demonstrated. Length of hospital stay significantly increased with increasing volume however. [ABSTRACT FROM AUTHOR]

Topical chlormethine yields high response rates in mycosis fungoides cutaneous T-cell lymphoma with early discontinuation often attributed to skin reactions. We evaluated over 4,000 patients and found an association of clinician case volume with treatment duration and early discontinuation of chlormethine gel. The minority of clinicians with high patient volume markedly outperformed clinicians with only few patients on both outcome parameters, yet case volume as low as five patients seemed to mark a threshold for avoiding early discontinuation of treatment regimen.

Copyright of Hungarian Medical Journal / Orvosi Hetilap is the property of Akademiai Kiado and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background: Some jurisdictions restrict primary care physicians' daily patient volume to safeguard quality of care for complex patients. Our objective was to determine whether people with dementia receive lower-quality care if their primary care physician sees many patients daily. Methods: Population-based retrospective cohort study using health administrative data from 100,256 community-living adults with dementia aged 66 years or older, and the 8,368 primary care physicians who cared for them in Ontario, Canada. Multivariable Poisson GEE regression models tested whether physicians' daily patient volume was associated with the adjusted likelihood of people with dementia receiving vaccinations, prescriptions for cholinesterase inhibitors, benzodiazepines, and antipsychotics from their primary care physician. Results: People with dementia whose primary care physicians saw ≥ 30 patients daily were 32% (95% CI: 23% to 41%, p < 0.0001) and 25% (95% CI: 17% to 33%, p < 0.0001) more likely to be prescribed benzodiazepines and antipsychotic medications, respectively, than patients of primary care physicians who saw < 20 patients daily. Patients were 3% (95% CI: 0.4% to 6%, p = 0.02) less likely to receive influenza vaccination and 8% (95% CI: 4% to 13%, p = 0.0001) more likely to be prescribed cholinesterase inhibitors if their primary care physician saw ≥ 30 versus < 20 patients daily. Conclusions: People with dementia were more likely to receive both potentially harmful and potentially beneficial medications, and slightly less likely to be vaccinated by high-volume primary care physicians. [ABSTRACT FROM AUTHOR]

• The number of patients treated annually per radiation oncology department increases over time. • Case-related workload decreases for radiation oncologists and physicists. • For radiation therapists and treatment units, case-related workload increases. • Complex and more accurate radiation therapy techniques become more widely available. • These are time-demanding for preparation and per session, yet involve less fractions. The EORTC Radiation Oncology Group uses a Facility Questionnaire (FQ) to collect information from its member radiation oncology departments. We analysed the FQ database for patient-related workload, staffing levels and infrastructure to determine developments in radiation oncology departments in the clinical trials community. We exported the FQ database in August 2019. Departments were included if their FQ was created or updated within the two preceding years. Observations were compared with previous evaluations of the FQ database. In total, 161 departments from 24 mostly European countries were analysed. The average number of patients per department increased by 3.0% to 2,453 (2013: 2,381). The annual number of patients decreased by 7.4% to 225 per radiation oncologist (2013: 243) and by 7.9% to 326 per medical physicist (2013: 354). In contrast, the number of patients increased by 23.3% to 106 per radiation therapist (RTT) (2013: 86) and per treatment unit by 3.9 % to 485 (2013: 467). In a pairwise comparison of departments that were available in 2013 and 2019, the number of patients per radiation oncologist (p = 0.02) and per physicist (p = 0.0003) decreased significantly. The number of departments that own a dedicated PET-CT scanner more than doubled (2013: 4%; 2019: 9%) and the availability of stereotactic body radiation therapy (SBRT) increased by 31.8% to 85.7% of the departments (2013: 65%). The case-related workload per radiation oncologist and per physicist continues to decrease but increases per RTT and treatment unit. This is likely driven by an increased use of complex techniques, multimodality imaging and the implementation of automation in radiation oncology departments. [ABSTRACT FROM AUTHOR]

Waldenstrom macroglobulinemia (WM) has an annual incidence of 3–3.2 cases per million-person/year. National Cancer Data Base was used to identify newly diagnosed WM cases requiring initiation of therapy and their annual facility volume was used to divide the treatment facilities into four quartiles (Qs). Cox regression was used to analyze the association between facility volume and survival, adjusted by demographics, socioeconomic, geographic, comorbidity factors and year of diagnosis. A total of 3064 patients treated in 795 facilities were included. The unadjusted median overall survival (OS) by facility volume was: Q1:6.5 years (5-year OS 55%), Q2:7 years (5-year OS 60%), Q3:8 years (5-year OS 64%), and Q4: NR (5-year OS 71%), p < 0.0001. Our results demonstrated that a volume–outcome relationship exists in WM and is an independent predictor of overall survival in addition to the established risk factors as age and disease severity. [ABSTRACT FROM AUTHOR]

Copyright of Der Unfallchirurg is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Making a business case to match staffing-to-patient care needs sometimes requires new approaches. Partnering with departments outside of nursing proved successful in one acute hemodialysis department. Working with Lean Six Sigma teammates to define our workflow processes and utilizing the resulting data led to developing a business case, which gained the department 2.5 additional full-time equivalent registered nurses. A staffing template was created to evaluate ongoing patient volumes against current staffing. This staffing template can be used by any hemodialysis unit to aid in determining ongoing staffing requirements. [ABSTRACT FROM AUTHOR]

Predicting daily patient volume is necessary for emergency department (ED) strategic and operational decisions, such as resource planning and workforce scheduling. For these purposes, forecast accuracy requires understanding the heterogeneity among patients with respect to their characteristics and reasons for visits. To capture the heterogeneity among ED patients (case-mix), we present a patient coding and classification scheme (PCCS) based on patient demographics and diagnostic information. The proposed PCCS allows us to mathematically formalize the arrival patterns of the patient population as well as each class of patients. We can then examine the volume and case-mix of patients presenting to an ED and investigate their relationship to the ED's quality and time-based performance metrics. We use data from five hospitals in February, July and November for the years of 2007, 2012, and 2017 in the city of Calgary, Alberta, Canada. We find meaningful arrival time patterns of the patient population as well as classes of patients in EDs. The regression results suggest that patient volume is the main predictor of time-based ED performance measures. Case-mix is, however, the key predictor of quality of care in EDs. We conclude that considering both patient volume and the mix of patients are necessary for more accurate strategic and operational planning in EDs. [ABSTRACT FROM AUTHOR]

Introduction: Increased hospital patient volume, reflecting greater experience, has been shown to be associated with improved survival for some cancers. However, there is no evidence to support the volume-outcome hypothesis for inoperable non-small-cell lung cancer (NSCLC) patients within the Australasian setting. We examined the relationship between overall survival (OS) and institutional patient accrual volume (IPAV) in a large prospective Australasian NSCLC database (TROG 99.05).Methods: TROG 99.05 was an observational study which accrued patients from 1999 to 2007 to examine the relationship between primary lung cancer volume and survival. To be eligible for inclusion, patients had to have inoperable, biopsy-proven NSCLC planned for radiotherapy to a minimum dose of 50Gy in 20 fractions, with or without chemotherapy. Participating institutions were de-identified and grouped according to whether accrual was low, medium or high. OS was compared between groups and adjusted for prognostic factors using Cox regression.Results: About 509 patients were accrued from 16 centres. Median potential follow-up time was 60 months. Median survival for all groups was 20 months (95% CI 18.3-21.8 months). There were no statistically significant differences in OS with increasing patient accrual across the three groups after adjustment for prognostic factors (P = 0.84, 2 df). The hazard ratios (HR) for group accrual volumes, relative to that for high-accrual volume, were as follows: low, 1.18; medium, 1.14. Test for trend: HR = 0.91 per group (95% CI 0.76-1.09, P = 0.31).Conclusion: In the setting of a clinical trial with rigorous quality assurance, we found no evidence for an association between institutional accrual and survival. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic led to a decline in emergency department visits in the United States. Less is known about how COVID-19 has impacted psychiatric emergency services (PES). This report compares visits to the Connecticut Department of Veterans Affairs psychiatric emergency room from March–August 2020 to the same period from three prior years (2017, 2018, 2019) to evaluate the impact of COVID-19 on patient volume and dispositions. Compared to prior years, there was a decline in visits in March–August 2020, particularly in April. This coincided with the peak of COVID-19 in the state. Rates of hospitalizations remained consistent, while rates of referrals to residential programs decreased. The decline in visits likely indicates that many veterans postponed necessary mental health and substance use treatment. This delay could have significant clinical ramifications for veterans and may lead to an eventual surge in demand for emergency mental health care. [ABSTRACT FROM AUTHOR]

Hematopoietic stem cell transplantation (HSCT) is a lifesaving expensive medical procedure. Hence, more transplants are performed in more affluent countries. The impact of economic factors on patient outcome is less defined. We analyzed retrospectively a defined cohort of 102,549 patients treated with an allogeneic (N = 37,542; 37%) or autologous (N = 65,007; 63%) HSCT. They were transplanted by one of 404 HSCT centers in 25 European countries between 1999 and 2006. We searched for associations between center-specific microeconomic or country-specific macroeconomic factors and outcome. Center patient-volume and center program-duration were significantly and systematically associated with improved survival after allogeneic HSCT (HR 0·87; 0·84–0·91 per 10 patients; p

Introduction: The correlation between patient volume and clinical outcomes is well known for various oncological treatments, especially in the surgical field. The current level of centralisation of systemic treatment of (hemato-)oncology indications in Dutch hospitals is unknown., Objectives: The aim of this study was to gain insight in patient volumes per hospital of patients treated with systemic anticancer treatment in the Netherlands., Methods: National claims data (Vektis) of all 73 Dutch hospitals that provide systemic anticancer medication in the Netherlands for the time period 2019 were used. The distribution of volumes of patients treated with anticancer medication for 38 different haematological or oncological indications was analysed. Hospitals were categorized into academic/specialised, general, and top clinical. Two volume cut off points (10 and 30 patients) were used to identify hospitals treating relatively few patients with anticancer medication. Four indications were investigated in more detail., Results: A wide distribution in patient volumes within hospitals was observed. Top clinical hospitals generally treated the most patients per hospital, followed by general and academic/specialised oncology hospitals. The volume cut off points showed that in 19 indications (50%) the majority (>50%) of all hospitals treated less than 10 patients and in 25 indications (66%) the majority of all hospitals treated less than 30 patients with anticancer medication. Four case studies demonstrated that relatively few hospitals treat many patients while many hospitals treat few patients with anticancer medication., Conclusion: In the majority of oncology indications, a large proportion of Dutch hospitals treat small numbers of unique patients with anticancer medication. The high level of fragmentation gives ground for further exploration and discussion on how the organisation of care can support optimization of the efficiency and quality of care. Professional groups, policy makers, patients, and healthcare insurers should consider per indication whether centralisation is warranted., Competing Interests: Declaration of Competing Interest HvL reported conflicts of interest as consultant of Bristol Myers Squibb, Dragonfly, Lilly, Merck, Nordic Pharma, Servier. HvL also received research funding and/or medication supply from Bayer, BMS, Celgene, Janssen, Incyte, Lilly, Merck, Nordic Pharma, Philips, Roche, Servier. MJK reported conflicts of interest as consultant of Bristol Myers Squibb, Celgene, Kite, a Gilead Company, Miltenyi Biotech, Novartis, and Roche; MJK also received research funding from Kite, Roche, Takeda, and Celgene and travel support from Kite, Miltenyi Biotech, Novartis, and Roche, (Copyright © 2023. Published by Elsevier B.V.)