Time to surgery after proximal femur fracture in geriatric patients depends on hospital size and provided level of care: analysis of the Registry for Geriatric Trauma (ATR-DGU).

PURPOSE: Proximal femur fractures predominantly affect older patients and can mark a drastic turning point in their lives. To avoid complications and reduce mortality, expert associations recommend surgical treatment within 24-48 h after admission. Due to the high incidence, treatment is provided at a wide range of hospitals with different size and level of care, which may affect time to surgery. METHODS: Data from 19,712 patients included from 2016 to 2019 in the Registry for Geriatric Trauma (ATR-DGU) were analyzed in terms of time to surgery, in-house mortality, mobilization on the first postoperative day, ambulation status on the 7th day after surgery, and initiation of osteoporosis therapy. Participating hospitals were grouped according to their classification as level I, II or III trauma centers. Also presence of additional injuries, intake and type of anticoagulants were considered. Linear and logistic regression analysis was performed to evaluate the influence of hospitals level of care on each item. RESULTS: 28.6% of patients were treated in level I, 37.7% in level II, and 33.7% in level III trauma centers. There was no significant difference in age, sex and ASA-score. Mean time to surgery was 19.2 h (IQR 9.0-29.8) in level I trauma centers and 16.8 h (IQR 6.5-24) in level II/III trauma centers (p < 0.001). Surgery in the first 24 h after admission was provided for 64.7% of level I and 75.0% of level II/III patients (p < 0.001). Treatment in hospitals with higher level of care and subsequent increased time to surgery showed no significant influence on in-house mortality (OR 0.90, 95%-CI 0.78-1.04), but negative effects on walking ability 7 days after surgery could be observed (OR 1.28, 95%-CI 1.18-1.38). CONCLUSION: In hospitals of larger size and higher level of care the time to surgery for patients with a proximal femur fracture was significantly higher than in smaller hospitals. No negative effects regarding in-house mortality, but for ambulation status during in-hospital stay could be observed. As the number of these patients will constantly increase, specific treatment capacities should be established regardless of the hospitals size.

The Impact of Hospital Size and Teaching Status on Outcomes Following Total Ankle Arthroplasty.

The popularity and utilization of total ankle arthroplasty (TAA) as treatment for ankle arthritis has increased exponentially from 1998 to 2012. Overall the outcomes have improved for TAA with the introduction of new-generation implants and this has increased the focus on optimizing other variables affecting outcomes for TAA. The purpose of this study was to examine the effects of hospital characteristics and teaching status on outcomes for TAA. The Nationwide Inpatient Sample database was queried from 2002 to 2012 using the ICD-9 procedure code for TAA. The primary outcomes evaluated included: in-hospital mortality, length of stay, total hospital charges, discharge disposition, perioperative complications, and patient demographics. Analyses were carried out based on hospital size: small, medium, and large; and teaching status: rural nonteaching, urban nonteaching, and urban teaching. A total weighted national estimate of 16,621 discharges for patients undergoing TAA was reported over the 10-year period. There were significant differences in length of stay and total charges between all hospitals when comparing location and teaching status; however, no significant differences were noted for in-hospital mortality. Rural, nonteaching hospitals had higher odds of perioperative complications. There were also significant differences in length of stay and total charges when comparing hospital sizes. Overall, there is no increased risk of mortality after TAA regardless of hospital size or setting. However, rural hospitals had increased rates of perioperative complications compared to urban hospitals. Our analyses demonstrated important factors affecting cost and resource utilization for TAA, clearly additional work is needed to optimize this relationship, especially in the upcoming bundled payment models.

The Perioperative Use of Benzodiazepines for Major Orthopedic Surgery in the United States.

BACKGROUND: Despite numerous indications for perioperative benzodiazepine use, associated risks may be exacerbated in elderly and comorbid patients. In the absence of national utilization data, we aimed to describe utilization patterns using national claims data from total hip/knee arthroplasty patients (THA/TKA), an increasingly older and vulnerable surgical population. METHODS: We included data on 1,863,996 TKAs and 985,471 THAs (Premier Healthcare claims data, 2006-2019). Benzodiazepine utilization (stratified by long- and short-acting agents) was assessed by patient- and health care characteristics, and analgesic regimens. Given the large sample size, standardized differences instead of P values were utilized to signify meaningful differences between groups (defined by value >0.1). RESULTS: Among 1,863,996 TKA and 985,471 THA patients, the utilization rate of benzodiazepines was 80.5% and 76.1%, respectively. In TKA, 72.6% received short-acting benzodiazepines, while 7.9% received long-acting benzodiazepines, utilization rates 68.4% and 7.7% in THA, respectively. Benzodiazepine use was particularly more frequent among younger patients (median age [interquartile range {IQR}]: 66 [60-73]/64 [57-71] among short/long-acting compared to 69 [61-76] among nonusers), White patients (80.6%/85.4% short/long-acting versus 75.7% among nonusers), commercial insurance (36.5%/34.0% short/long-acting versus 29.1% among nonusers), patients receiving neuraxial anesthesia (56.9%/56.5% short/long-acting versus 51.5% among nonusers), small- and medium-sized (≤500 beds) hospitals (68.5% in nonusers, and 74% and 76.7% in short- and long-acting benzodiazepines), and those in the Midwest (24.6%/25.4% short/long-acting versus 16% among nonusers) in TKA; all standardized differences ≥0.1. Similar patterns were observed in THA except for race and comorbidity burden. Notably, among patients with benzodiazepine use, in-hospital postoperative opioid administration (measured in oral morphine equivalents [OMEs]) was substantially higher. This was even more pronounced in patients who received long-acting agents (median OME with no benzodiazepines utilization 192 [IQR, 83-345] vs 256 [IQR, 153-431] with short-acting, and 329 [IQR, 195-540] with long-acting benzodiazepine administration). Benzodiazepine use was also more frequent in patients receiving multimodal analgesia (concurrently 2 or more analgesic modes) and regional anesthesia. Trend analysis showed a persistent high utilization rate of benzodiazepines over the last 14 years. CONCLUSIONS: Based on a representative sample, 4 of 5 patients undergoing major orthopedic surgery in the United States receive benzodiazepines perioperatively, despite concerns for delirium and delayed postoperative neurocognitive recovery. Notably, benzodiazepine utilization was coupled with substantially increased opioid use, which may project implications for perioperative pain management.

The Impact of Commission on Cancer Accreditation Status, Hospital Rurality and Hospital Size on Quality Measure Performance Rates.

BACKGROUND: Rural cancer patients receive lower-quality care and experience worse outcomes than urban patients. Commission on Cancer (CoC) accreditation requires hospitals to monitor performance on evidence-based quality measuresPlease confirm the list of authors is correc, but the impact of accreditation is not clear due to lack of data from non-accredited facilities and confounding between patient rurality and hospital accreditation, rurality, and size. METHODS: This retrospective, observational study assessed associations between rurality, accreditation, size, and performance rates for four CoC quality measures (breast radiation, breast chemotherapy, colon chemotherapy, colon nodal yield). Iowa Cancer Registry data were queried to identify all eligible patients diagnosed between 2011 and 2017. Cases were assigned to the surgery hospital to calculate performance rates. Univariate and multivariate regression models were fitted to identify patient- and hospital-level predictors and assess trends. RESULTS: The study cohort included 10,381 patients; 46% were rural. Compared with urban patients, rural patients more often received treatment at small, rural, and non-accredited facilities (p < 0.001 for all). Rural hospitals had fewer beds and were far less likely to be CoC-accredited than urban hospitals (p < 0.001 for all). On multivariate analysis, CoC accreditation was the strongest, independent predictor of higher hospital performance for all quality measures evaluated (p < 0.05 in each model). Performance rates significantly improved over time only for the colon nodal yield quality measure, and only in urban hospitals. CONCLUSIONS: CoC accreditation requires monitoring and evaluating performance on quality measures, which likely contributes to better performance on these measures. Efforts to support rural hospital accreditation may improve existing disparities in rural cancer treatment and outcomes.

The impact of hospital size on national trends and outcomes in isolated open proximal aortic surgery.

OBJECTIVE: To determine the impact of hospital size on national trend estimates of isolated open proximal aortic surgery for benchmarking hospital performance. METHODS: Patients age >18 years who underwent isolated open proximal aortic surgery for aneurysm and dissection from 2002 to 2014 were identified using the National Inpatient Sample. Concomitant valvular, vessel revascularization, re-do procedures, endovascular, and surgery for descending and thoracoabdominal aorta were excluded. Discharges were stratified by hospital size and analyzed using trend, multivariable regression, propensity-score matching analysis. RESULTS: Over a 13-year period, 53,657 isolated open proximal aortic operations were performed nationally. Although the total number of operations/year increased (∼2.9%/year increase) and overall in-hospital mortality decreased (∼4%/year; both P < .001 for trend), these did not differ by hospital size (P > .05). Large hospitals treated more sicker and older patients but had shorter length of stay and lower hospital costs (both P < .001). Even after propensity-score matching, large hospital continued to demonstrate superior in-hospital outcomes, although only statistically for major in-hospital cardiac complications compared with non-large hospitals. In our subgroup analysis of dissection versus non-dissection cohort, in-hospital mortality trends decreased only in the non-dissection cohort (P < .01) versus dissection cohort (P = .39), driven primarily by the impact of large hospitals (P < .01). CONCLUSIONS: This study demonstrates increasing volume and improving outcomes of isolated open proximal aortic surgeries nationally over the last decade regardless of hospital bed size. Moreover, the resource allocation of sicker patients to larger hospital resulted shorter length of stay and hospital costs, while maintaining similar operative mortality to small- and medium-sized hospitals.

Predictors of hospital transfer and associated risks of mortality in acute pancreatitis.

BACKGROUND: There is limited research in prognosticators of hospital transfer in acute pancreatitis (AP). Hence, we sought to determine the predictors of hospital transfer from small/medium-sized hospitals and outcomes following transfer to large acute-care hospitals. METHODS: Using the 2010-2013 Nationwide Inpatient Sample (NIS), patients ≥18 years of age with a primary diagnosis of AP were identified. Hospital size was classified using standard NIS Definitions. Multivariable analyses were performed for predictors of "transfer-out" from small/medium-sized hospitals and mortality in large acute-care hospitals. RESULTS: Among 381,818 patients admitted with AP to small/medium-sized hospitals, 13,947 (4%) were transferred out to another acute-care hospital. Multivariable analysis revealed that older patients (OR = 1.04; 95%CI 1.03-1.06), men (OR = 1.15; 95%CI 1.06-1.24), lower income quartiles (OR = 1.54; 95%CI 1.35-1.76), admission to a non-teaching hospital (OR = 3.38; 95%CI 3.00-3.80), gallstone pancreatitis (OR = 3.32; 95%CI 2.90-3.79), pancreatic surgery (OR = 3.14; 95%CI 1.76-5.58), and severe AP (OR = 3.07; 95%CI 2.78-3.38) were predictors of "transfer-out". ERCP (OR = 0.53; 95%CI 0.43-0.66) and cholecystectomy (OR = 0.14; 95%CI 0.12-0.18) were associated with decreased odds of "transfer-out". Among 507,619 patients admitted with AP to large hospitals, 31,058 (6.1%) were "transferred-in" from other hospitals. The mortality rate for patients "transferred-in" was higher than those directly admitted (2.54% vs. 0.91%, p < 0.001). Multivariable analysis revealed that being "transferred-in" from other hospitals was an independent predictor of mortality (OR = 1.47; 95% CI 1.22-1.77). CONCLUSIONS: Patients with AP transferred into large acute-care hospitals had a higher mortality than those directly admitted likely secondary to more severe disease. Early implementation of published clinical guidelines, triage, and prompt transfer of high-risk patients may potentially offset these negative outcomes.

Evaluation of Risk-Adjusted Home Time After Hospitalization for Heart Failure as a Potential Hospital Performance Metric.

Importance: Thirty-day home time, defined as time spent alive and out of a hospital or facility, is a novel, patient-centered performance metric that incorporates readmission and mortality. Objectives: To characterize risk-adjusted 30-day home time in patients discharged with heart failure (HF) as a hospital-level quality metric and evaluate its association with the 30-day risk-standardized readmission rate (RSRR), 30-day risk-standardized mortality rate (RSMR), and 1-year RSMR. Design, Setting, and Participants: This hospital-level cohort study retrospectively analyzed 100% of Medicare claims data from 2 968 341 patients from 3134 facilities from January 1, 2012, to November 30, 2017. Exposures: Home time, defined as time spent alive and out of a short-term hospital, skilled nursing facility, or intermediate/long-term facility 30 days after discharge. Main Outcomes and Measures: For each hospital, a risk-adjusted 30-day home time for HF was calculated similar to the Centers for Medicare & Medicaid Services risk-adjustment models for 30-day RSRR and RSMR. Hospitals were categorized into quartiles (lowest to highest risk-adjusted home time). The correlations between hospital rates of risk-adjusted 30-day home time and 30-day RSRR, 30-day RSMR, and 1-year RSMR were estimated using the Pearson correlation coefficient. Distribution of days lost from a perfect 30-day home time were calculated. Reclassification of hospital performance using 30-day home time vs 30-day RSRR was also evaluated. Results: Overall, 2 968 341 patients (mean [SD] age, 81.0 [8.3] years; 53.6% female) from 3134 hospitals were included in this study. The median hospital risk-adjusted 30-day home time for patients with HF was 21.77 days (range, 8.22-28.41 days). Hospitals in the highest quartile of risk-adjusted 30-day home time (best-performing hospitals) were larger (mean [SD] number of beds, 285 [275]), with a higher volume of patients with HF (median, 797 patients; interquartile range, 395-1484) and were more likely academic hospitals (59.9%) with availability of cardiac surgery (51.1%) and cardiac rehabilitation (68.8%). A total of 72% of home time lost was attributable to stays in an intermediate- or long-term care facility (mean [SD], 2.65 [6.44] days) or skilled nursing facility (mean [SD], 3.96 [9.04] days), 13% was attributable to short-term readmissions (mean [SD], 1.25 [3.25] days), and 15% was attributable to death (mean [SD], 1.37 [6.04] days). Among 30-day outcomes, the 30-day RSRR and 30-day RSMR decreased in a graded fashion across increasing 30-day home time categories (correlation coefficients: 30-day RSRR and 30-day home time, -0.23, P < .001; 30-day RSMR and 30-day home time, -0.31, P < .001). Similar patterns of association were also noted for 1-year RSMR and 30-day home time (correlation coefficient, -0.35, P < .001). Thirty-day home time meaningfully reclassified hospital performance in 30% of the hospitals compared with 30-day RSRR and in 25% of hospitals compared with 30-day RSMR. Conclusions and Relevance: In this study, 30-day home time among patients discharged after a hospitalization for HF was objectively assessed as a hospital-level quality metric using Medicare claims data and was associated with readmission and mortality outcomes and with reclassification of hospital performance compared with 30-day RSRR and 30-day RSMR.

Hospitais de Cidades Pequenas: inserção e pactuação no Sistema Único de Saúde (SUS) / Small Towns Hospitals: insertion and agreement in the Brazilian Unified Health System

RESUMO: Importância do problema: É indiscutível a importância do hospital na organização no Sistema Único de Saúde (SUS). Os hospitais com 50 leitos ou menos, também chamados de hospitais de pequeno porte (HPP) são essenciais para a construção das redes de atenção à saúde (RAS) considerando sua capilaridade no sistema. Objetivo: Descrever a caracterização dos hospitais de pequeno porte e sua adequação à política vigente. Método: Trata-se de um estudo transversal, descritivo, realizado a partir de dados secundários obtidos de bases de dados nacionais: Cadastro Nacional de Estabelecimentos de Saúde (CNES-MS), Sistema de Informações Hospitalares (SIH/SUS) e o sistema de registro de dados hospitalares da Regional de Saúde. O estudo foi realizado em uma região de saúde localizada no norte do Paraná, Brasil. Resultados: Neste estudo, 100% dos hospitais em cidades pequenas da 17ª Regional de Saúde do Paraná são de pequeno porte. A oferta de leitos atende à estabelecida pela portaria do Ministério da Saúde n° 1.101/2002. Observou-se a extrema ociosidade da capacidade instalada, centros cirúrgicos inativos e baixíssima ocupação dos leitos hospitalares. Conclusão: Conclui-se que a forma de pactuação/contratualização isolada de cada hospital não surtiu os efeitos desejados pela Política Nacional de HPP (PNHPP). Sugere-se que uma nova vinculação ocorra de forma regionalizada e que se criem um sistema unificado de gestão. (AU)

ABSTRACT: Importance of the problem: The importance of the hospital in the organization of the Brazilian Unified Health System (UHS)is indisputable. Hospitals with 50 beds or fewer, also called small hospitals are essential for building health care networks considering their capillarity in the system. Objective: Describing the characterization of small hospitals and their adequacy to current policy and confirm the results presented so far in the literature. Method: This is a cross-sectional, descriptive study based on secondary data obtained from the national databases: National Registry of Health Establishments, Hospital Information System, and registry of data of the Regional of Health. The study was conducted in a health region located in northern Paraná, Brazil. Results: In this study, more than 90% of the hospitals in towns of the 17th Regional of Health of Paraná are small. The supply of beds meets the guidelines of the Ministry of Health n. 1,101/2002. It was observed the extreme idleness of facilities, inactive surgical centers, and low occupation of hospital beds. Conclusion: It is concluded that the form of agreement isolated from each hospital did not have the desired effects by national small hospital policy. It is suggested that a new connection occurs regionally and that a unified management system might be created. (AU)

Impact of hospital size on the outcomes of appendectomy in children: an analysis of a comprehensive nationwide pediatric dataset.

PURPOSES: The purpose of this study was to investigate the outcomes after appendectomy in children according to hospital size. METHODS: The records of 11,565 patients with the diagnosis-related group code for appendectomy were extracted from HIRA-Pediatric Patient Sample from 2012 to 2016. The number of hospital visits and the length of stay in hospital within 30 days after appendectomy were analyzed. RESULTS: Patients who were treated at large-sized hospitals were more likely to be younger, more likely to reside in metropolitan areas, and tended to receive laparoscopic surgery. The number of hospital visits within 30 days in patients managed by medium- and large-sized hospitals decreased in comparison to small-sized hospitals. The length of hospital stay in large-sized hospitals was decreased in comparison to small- and medium-sized hospitals. A subgroup analysis revealed that complicated appendectomy did not have a significant impact on the difference in the length of hospital stay between hospital sizes. CONCLUSION: The number of hospital visits and the length of hospital stay was higher in small-sized hospitals in comparison to large-sized hospitals. Appendectomy performed in the larger hospital showed better outcomes in pediatric patients. We recommend that pediatric surgical procedures be performed in large hospitals, and that proper incentives be given for procedures to be performed by pediatric specialists.

Hospital volume-outcome relationship in severe traumatic brain injury: stratified analysis by level of trauma center.

OBJECTIVE: The nature of the volume-outcome relationship in cases with severe traumatic brain injury (TBI) remains unclear, with considerable interhospital variation in patient outcomes. The objective of this study was to understand the state of the volume-outcome relationship at different levels of trauma centers in the United States. METHODS: The authors queried the National Trauma Data Bank for the years 2007-2014 for patients with severe TBI. Case volumes for each level of trauma center organized into quintiles (Q1-Q5) served as the primary predictor. Analyzed outcomes included in-hospital mortality, total hospital length of stay (LOS), and intensive care unit (ICU) stay. Multivariable regression models were performed for in-hospital mortality, overall complications, and total hospital and ICU LOSs to adjust for possible confounders. The analysis was stratified by level designation of the trauma center. Statistical significance was established at p < 0.001 to avoid a type I error due to a large sample size. RESULTS: A total of 122,445 patients were included. Adjusted analysis did not demonstrate a significant relationship between increasing hospital volume of severe TBI cases and in-hospital mortality, complications, and nonhome hospital discharge disposition among level I-IV trauma centers. However, among level II trauma centers, hospital LOS was longer for the highest volume quintile (adjusted mean difference [MD] for Q5: 2.83 days, 95% CI 1.40-4.26 days, p < 0.001, reference = Q1). For level III and IV trauma centers, both hospital LOS and ICU LOS were longer for the highest volume quintile (adjusted MD for Q5: LOS 4.6 days, 95% CI 2.3-7.0 days, p < 0.001; ICU LOS 3.2 days, 95% CI 1.6-4.8 days, p < 0.001). CONCLUSIONS: Higher volumes of severe TBI cases at a lower level of trauma center may be associated with a longer LOS. These results may assist policymakers with target interventions for resource allocation and point to the need for careful prehospital decision-making in patients with severe TBI.

Laparoscopic Versus Open Cholecystectomy in Pediatric Patients: A Propensity Score-Matched Analysis.

Background: As minimally invasive pediatric surgery becomes standard approach to many surgical solutions, access has become an important point for improvement. Laparoscopic cholecystectomy (LC) is the gold standard for many conditions affecting the gallbladder; however, open cholecystectomy (OC) is offered as the initial approach in a surprisingly high percentage of cases. Materials and Methods: The Kids' Inpatient Database (1997-2012) was searched for International Classification of Disease, 9th revision, Clinical Modification procedure code (51.2x). LC and OC performed in patients <20 years old were identified. Propensity score-matched analyses using 39 variables were performed to isolate the effects of race, income group, location, gender, payer status, and hospital size on the percentage of LCs and OCs offered. Cases were weighted to provide national estimates. Results: A total of 78,578 cases were identified, comprising LC (88.1%) and OC (11.9%). Girls were 1.6 (CI: 1.4, 1.7) times more likely to undergo LC versus boys. Large facilities were 1.4 (1.3, 1.7) times more likely to perform LCs than small facilities. Children in lower income quartiles were 1.2 (1.1, 1.3) times more likely to undergo LC compared with those in higher income quartiles. Rates of LC were not affected by race, hospital location, or payer status. Conclusions: Risk-adjusted analysis of a large population-based data set demonstrated evidence that confirms, but also refutes, traditional disparities to minimally invasive surgery access. Despite laparoscopic gold standard, OC remains the initial approach in a surprisingly high percentage of pediatric cases independent of demographics or socioeconomic status. Additional research is required to identify factors affecting the distribution of LC and OC within the pediatric population.

Defining the Volume-Outcome Relationship in Reverse Shoulder Arthroplasty: A Nationwide Analysis.

BACKGROUND: As the utilization of reverse total shoulder arthroplasty (RSA) grows, it is increasingly important to examine the relationship between hospital volume and RSA outcomes. We hypothesized that hospitals that perform a higher volume of RSAs would have improved outcomes. We also performed stratum-specific likelihood ratio (SSLR) analysis with the aim of delineating concrete definitions of hospital volume for RSA. METHODS: The Nationwide Readmissions Database was queried for patients who had undergone elective RSA from 2011 to 2015. Annual hospital volume and 90-day outcome data were collected, including readmission, revision, complications, hospital length of stay (LOS), supramedian cost, and discharge disposition. SSLR analysis was performed to determine hospital volume cutoffs associated with increased risks for adverse events. Cutoffs generated through SSLR analysis were confirmed via binomial logistic regression. RESULTS: The proportion of patients receiving care at high-volume centers increased from 2011 to 2015. SSLR analysis produced hospital volume cutoffs for each outcome, with higher-volume centers showing improved outcomes. The volume cutoffs associated with the best rates of 90-day outcomes ranged from 54 to 70 RSAs/year, whereas cost and resource utilization cutoffs were higher, with the best outcomes in hospitals performing >100 RSAs/year. SSLR analysis of 90-day readmission produced 3 hospital volume categories (1 to 16, 17 to 69, and ≥70 RSAs/year), each significantly different from each other. These were similar to the strata for 90-day revision (1 to 16, 17 to 53, and ≥54 RSAs/year) and 90-day complications (1 to 9, 10 to 68, and ≥69 RSAs/year). SSLR analysis produced 6 hospital volume categories for cost of care over the median value (1 to 5, 6 to 25, 26 to 47, 48 to 71, 72 to 105, and ≥106 RSAs/year), 5 categories for an extended LOS (1 to 10, 11 to 25, 26 to 59, 60 to 105, and ≥106 RSAs/year), and 4 categories for non-home discharge (1 to 31, 32 to 71, 72 to 105, and ≥106 RSAs/year). CONCLUSIONS: We have defined hospital surgical volumes that maximize outcomes after RSA, likely related to surgical experience, ancillary staff familiarity, and protocolized pathways. This information may be used in future policy decisions to consolidate complex procedures, such as RSA, at high-volume destinations, or to encourage lower-volume institutions to strategize an approach to function as a higher-volume center. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

Relationship between hospital size and teaching status on outcomes for reverse shoulder arthroplasty.

BACKGROUND: The use of reverse shoulder arthroplasty (RSA) continues to grow with expanding indications and increased surgeon awareness. Previous data for other lower extremity joint replacements indicate that high-volume centers have better outcomes, with lower complication rates, decreased length of stay, and complications for both hemiarthroplasty and total shoulder arthroplasty. The purpose of this study is to evaluate the effects of hospital size and setting on adverse events for RSA. MATERIALS AND METHODS: The National Inpatient Sample database was queried for RSA performed using ICD-9 codes. Primary outcomes included length of stay (LOS), total hospital charges, discharge disposition, and postoperative complications. Odds ratios were used to assess the risk of inpatient postoperative complications. RESULTS: A weighted national estimate of 24,056 discharges for patients undergoing RSA was included in the study. Patients at larger hospitals experienced higher total charges, increased average LOS, and slightly higher complication rates compared to those of small and medium hospitals. Patients in larger hospitals had significantly increased rates of genitourinary and central nervous system complications, while patients in small/medium hospitals experienced higher rates of hematoma/seroma. CONCLUSION: Results from this study indicate that large and non-teaching hospitals overall tend to burden the patients with higher hospital charges, longer hospital stay, and more frequent non-routine discharges. Also, larger hospitals are associated with higher risk of genitourinary and central nervous system complications rates, whereas non-teaching hospitals are associated with lower risk of infection and higher risk of anemia after RSA. With the growth in RSA in the USA, continued attention needs to be placed on improving outcomes and resource utilization for RSA patients even in larger hospitals.

Understanding volume-outcome relationships in nephrectomy and cystectomy for cancer: evidence from the UK Getting it Right First Time programme.

OBJECTIVES: To investigate volume-outcome relationships in nephrectomy and cystectomy for cancer. MATERIALS AND METHODS: Data were extracted from the UK Hospital Episodes Statistics database, which records data on all National Health Service (NHS) hospital admissions in the England. Data were included for a 5-year period (April 2013-March 2018 inclusive) and data on emergency and paediatric admissions were excluded. Data were extracted on the NHS trust and surgeon undertaking the procedure, the surgical technique used (open, laparoscopic or robot-assisted) and length of hospital stay during the procedure. This dataset was supplemented by data on mortality from the UK Office for National Statistics. A number of volume thresholds and volume measures were investigated. Multilevel modelling was used to adjust for hierarchy and confounding factors. RESULTS: Data were available for 18 107 nephrectomy and 6762 cystectomy procedures for cancer. There was little evidence of trust or surgeon volume influencing readmission rates or mortality. There was some evidence of shorter length of hospital stay for high-volume surgeons, although the volume measure and threshold used were important. CONCLUSIONS: We found little evidence that further centralization of nephrectomy or cystectomy for cancer surgery will improve the patient outcomes investigated. It may be that length of stay can be optimized though training and support for lower-volume centres, rather than further centralization.

Difference in the Types of Treated Cancer between Clinics and Small-to-Middle-Sized Hospitals in Rural Communities of Japan.

Resolution of regional disparities in cancer mortality is global challenge. Establishing an equal system of cancer treatment throughout the country is required under the Cancer Control Act in Japan. The types of treated cancer may reflect practical experience at the institutions and cooperation to other institutions. This study investigated the types treated at the institutions in rural communities of Japan. A questionnaire survey was conducted for 811 public rural institutions (clinics and small-to-middle-sized hospitals [< 200 beds]) in 2013. The survey's items included the types of treated cancer (14 categories: stomach, colon, breast, liver, biliary tract, pancreatic, prostate, esophageal, lung, renal, urinary tract, testicular, hematopoietic, and others) and the first five types were defined as major cancers. The data were analyzed between hospitals and clinics. The response rate was about 60%, and of 177 hospitals and 281 clinics, 54 hospitals (30%) and 10 clinics (3%) reported the types of cancer. The median number of cancer types in hospitals was significantly greater than that of clinics (4 [interquartile range 3.0-7.8]) vs. 1 [1.0-1.8], P < 0.01). The prevalence of hospitals treating at least one of five major cancers was significantly greater than that of clinics (96% vs. 30%, P < 0.01). The prevalence of clinics treating prostate cancer was significantly greater than that of hospitals (31% vs. 70%, P = 0.03). In conclusion, most types of cancer are treated at small-to-middle-sized hospitals, except for prostate cancer, providing basic information about cancer treatment in rural communities of Japan.

The Impact of Hospital Size on National Trends and Outcomes Following Open Esophagectomy.

Background and Objectives: Previous studies have demonstrated superior patient outcomes for thoracic oncology patients treated at high-volume surgery centers compared to low-volume centers. However, the specific role of overall hospital size in open esophagectomy morbidity and mortality remains unclear. Materials and Methods: Patients aged >18 years who underwent open esophagectomy for primary malignant neoplasia of the esophagus between 2002 and 2014 were identified using the National Inpatient Sample. Minimally invasive procedures were excluded. Discharges were stratified by hospital size (large, medium, and small) and analyzed using trend and multivariable regression analyses. Results: Over a 13-year period, a total of 69,840 open esophagectomy procedures were performed nationally. While the proportion of total esophagectomies performed did not vary by hospital size, in-hospital mortality trends decreased for all hospitals (large (7.2% to 3.7%), medium (12.8% vs. 4.9%), and small (12.8% vs. 4.9%)), although this was only significant for large hospitals (P < 0.01). After controlling for patient demographics, comorbidities, admission, and hospital-level factors, hospital length of stay (LOS), total inflation-adjusted costs, in-hospital mortality, and complications (cardiac, respiratory, vascular, and bleeding) did not vary by hospital size (all P > 0.05). Conclusions: After risk adjustment, patient morbidity and in-hospital mortality appear to be comparable across all institutions, including small hospitals. While there appears to be an increased push for referring patients to large hospitals, our findings suggest that there may be other factors (such as surgeon type, hospital volume, or board status) that are more likely to impact the results; these need to be further explored in the current era of episode-based care.

Do informed consumers in Taiwan favour larger hospitals? A 10-year population-based study on differences in the selection of healthcare providers among medical professionals, their relatives and the general population.

OBJECTIVES: Exploring whether medical professionals, who are considered to be 'informed consumers' in the healthcare system, favour large providers for elective treatments. In this study, we compare the inclination of medical professionals and their relatives undergoing treatment for childbirth and cataract surgery at medical centres, against those of the general population. DESIGN: Retrospective study using a population-based matched cohort data. PARTICIPANTS: Patients who underwent childbirth or cataract surgery between 1 January 2004 and 31 December 2013. PRIMARY AND SECONDARY OUTCOMES MEASURES: We used multiple logistic regression to compare the ORs of medical professionals and their relatives undergoing treatment at medical centres, against those of the general population. We also compared the rate of 14-day re-admission (childbirth) and 14-day reoperation (cataract surgery) after discharge between these groups. RESULTS: Multivariate analysis showed that physicians were more likely than patients with no familial connection to the medical profession to undergo childbirth at medical centres (OR 5.26, 95% CI 3.96 to 6.97, p<0.001), followed by physicians' relatives (OR 2.68, 95% CI 2.20 to 3.25, p<0.001). Similarly, physicians (OR 1.63, 95% CI 1.21 to 2.19, p<0.01) and their relatives (OR 1.43, 95% CI 1.13 to 1.81, p<0.01) were also more likely to undergo cataract surgery at medical centres. Physicians also tended to select healthcare providers who were at the same level or above the institution at which they worked. We observed no significant difference in 14-day re-admission rates after childbirth and no significant difference in 14-day reoperation rates after cataract surgery across patient groups. CONCLUSIONS: Medical professionals and their relatives are more likely than the general population to opt for service at medical centres. Understanding the reasons that medical professionals and general populations both have a preferential bias for larger medical institutions could help improve the efficiency of healthcare delivery.

Radiation Dose for Pediatric CT: Comparison of Pediatric versus Adult Imaging Facilities.

Background The American College of Radiology Dose Index Registry for CT enables evaluation of radiation dose as a function of patient characteristics and examination type. The hypothesis of this study was that academic pediatric CT facilities have optimized CT protocols that may result in a lower and less variable radiation dose in children. Materials and Methods A retrospective study of doses (mean patient age, 12 years; age range, 0-21 years) was performed by using data from the National Radiology Data Registry (year range, 2016-2017) (n = 239 622). Three examination types were evaluated: brain without contrast enhancement, chest without contrast enhancement, and abdomen-pelvis with intravenous contrast enhancement. Three dose indexes-volume CT dose index (CTDIvol), size-specific dose estimate (SSDE), and dose-length product (DLP)-were analyzed by using six different size groups. The unequal variance t test and the F test were used to compare mean dose and variances, respectively, at academic pediatric facilities with those at other facility types for each size category. The Bonferroni-Holm correction factor was applied to account for the multiple comparisons. Results Pediatric radiation dose in academic pediatric facilities was significantly lower, with smaller variance for all brain, 42 of 54 (78%) chest, and 48 of 54 (89%) abdomen-pelvis examinations across all six size groups, three dose descriptors, and when compared with that at the other three facilities. For example, abdomen-pelvis SSDE for the 14.5-18-cm size group was 3.6, 5.4, 5.5, and 8.3 mGy, respectively, for academic pediatric, nonacademic pediatric, academic adult, and nonacademic adult facilities (SSDE mean and variance P < .001). Mean SSDE for the smallest patients in nonacademic adult facilities was 51% (6.1 vs 11.9 mGy) of the facility's adult dose. Conclusion Academic pediatric facilities use lower CT radiation dose with less variation than do nonacademic pediatric or adult facilities for all brain examinations and for the majority of chest and abdomen-pelvis examinations. © RSNA, 2019 See also the editorial by Strouse in this issue.