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 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.

Prolonged Prehospital Time Is a Risk Factor for Pneumonia in Trauma (the PRE-TRIP Study): A Retrospective Analysis of the United States National Trauma Data Bank.

BACKGROUND: Although multiple risk factors for development of pneumonia in patients with trauma sustained in a motor vehicle accident have been studied, the effect of prehospital time on pneumonia incidence post-trauma is unknown. RESEARCH QUESTION: Is prolonged prehospital time an independent risk factor for pneumonia? STUDY DESIGN AND METHODS: We retrospectively analyzed prospectively collected clinical data from 806,012 motor vehicle accident trauma incidents from the roughly 750 trauma hospitals contributing data to the National Trauma Data Bank between 2010 and 2016. RESULTS: Prehospital time was independently associated with development of pneumonia post-motor vehicle trauma (P < .001). This association was primarily driven by patients with low Glasgow Coma Scale scores. Post-trauma pneumonia was uncommon (1.5% incidence) but was associated with a significant increase in mortality (P < .001, 4.3% mortality without pneumonia vs 12.1% mortality with pneumonia). Other pneumonia risk factors included age, sex, race, primary payor, trauma center teaching status, bed size, geographic region, intoxication, comorbid lung disease, steroid use, lower Glasgow Coma Scale score, higher Injury Severity Scale score, blood product transfusion, chest trauma, and respiratory burns. INTERPRETATION: Increased prehospital time is an independent risk factor for development of pneumonia and increased mortality in patients with trauma caused by a motor vehicle accident. Although prehospital time is often not modifiable, its recognition as a pneumonia risk factor is important, because prolonged prehospital time may need to be considered in subsequent decision-making.

ECMO use in Germany: An analysis of 29,929 ECMO runs.

BACKGROUND: Extracorporeal Membrane Oxygenation (ECMO) use is increasing despite limited evidence. The aim of this study was to demonstrate heterogeneity of ECMO use and its association with hospital size and annual frequency in Germany. METHODS: This is a database analysis of all ECMO cases in Germany from 2010 to 2016 using the German Diagnosis Related Groups (DRG) coding system for ECMO. RESULTS: During the study period, 510 hospitals performed 29,929 ECMO runs (12,572 vvECMO, 11,504 vaECMO, 1993 pECLA) with an increase over time. Mortality ranged between 58% and 66% for vaECMO cases and 66% and 53% for vvECMO cases. 304 (61%) hospitals performed only one ECMO per year. 78%% of all ECMO runs were performed in centres with more than 20 cases per year and more than half of all ECMO runs were performed in hospitals with >1.000 beds. Mortality for vv and vaECMO was highest in very small hospitals (< 200 beds; 70%; 74%) and very large hospitals (>1000 beds; 60%; 62%). CONCLUSIONS: Use of ECMO is still increasing and a substantial proportion of hospitals performs very few ECMO runs. Small hospitals had a significantly higher mortality, but dependence on hospital size and ECMO mortality was irregular.

Scope of Practice of US Interventional Cardiologists from an Analysis of Medicare Billing Data.

The contemporary scope of practice of interventional cardiologists (ICs) in the United States and recent trends are unknown. Using Medicare claims from 2013 to 2017, we categorized ICs into 4 practice categories (only percutaneous coronary intervention [PCI], PCI with noninvasive imaging, PCI with specialized interventions [peripheral/structural], and all 3 services) and evaluated associations with region, hospital bed size and teaching status, gender, and graduation year. Of 6,083 ICs in 2017, 10.9% performed only PCI, 68.3% PCI with noninvasive imaging, 5.7% PCI with specialized interventions, and 15.1% all 3 services. A higher proportion of Northeast ICs (vs South ICs) were performing only PCI (24.8% vs 7.3%) and PCI with specialized interventions (12% vs 3.4%), but lower PCI and noninvasive imaging (53.8% vs 71.7%) and all 3 services (9.3% and 17.6%). Regarding ICs at larger hospitals (bed size >575 vs <218), a higher proportion was performing only PCI (23.8% vs 5.2%) or PCI with specialized interventions (13.5% vs 1.7%) and lower proportion was performing PCI with noninvasive imaging (48.8% vs 78%), similar to teaching hospitals. Female ICs (vs male ICs) more frequently performed only PCI (18.9% vs 10.6%) and less frequently all 3 services (8.3% vs 15.4%). A lower proportion of recent graduates (2001 to 2016) performed only PCI (9.8% vs 13.8%) and PCI with noninvasive imaging (66.3% vs 72.6%) but a higher proportion performed all 3 services (18% vs 8.4%) than earlier graduates (1959 to 1984). From 2013 to 2017, only PCI and PCI with noninvasive imaging decreased, whereas PCI and specialized interventions and all 3 services increased (all p <0.001). In conclusion, there is marked heterogeneity in practice responsibilities among ICs, which has implications for training and competency assessments.

Fifteen-Year Trends in Incidence of Cardiogenic Shock Hospitalization and In-Hospital Mortality in the United States.

Background There is a lack of contemporary data on cardiogenic shock (CS) in-hospital mortality trends. Methods and Results Patients with CS admitted January 1, 2004 to December 31, 2018, were identified from the US National Inpatient Sample. We reported the crude and adjusted trends of in-hospital mortality among the overall population and selected subgroups. Among a total of 563 949 644 hospitalizations during the period from January 1, 2004, to December 30, 2018, 1 254 358 (0.2%) were attributed to CS. There has been a steady increase in hospitalizations attributed to CS from 122 per 100 000 hospitalizations in 2004 to 408 per 100 000 hospitalizations in 2018 (Ptrend<0.001). This was associated with a steady decline in the adjusted trends of in-hospital mortality during the study period in the overall population (from 49% in 2004 to 37% in 2018; Ptrend<0.001), among patients with acute myocardial infarction CS (from 43% in 2004 to 34% in 2018; Ptrend<0.001), and among patients with non-acute myocardial infarction CS (from 52% in 2004 to 37% in 2018; Ptrend<0.001). Consistent trends of reduced mortality were seen among women, men, different racial/ethnic groups, different US regions, and different hospital sizes, regardless of the hospital teaching status. Conclusions Hospitalizations attributed to CS have tripled in the period from January 2004 to December 2018. However, there has been a slow decline in CS in-hospital mortality during the studied period. Further studies are necessary to determine if the recent adoption of treatment algorithms in treating patients with CS will further impact in-hospital mortality.

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.

COVID-19 Pandemic in Assisted Living Communities: Results from Seven States.

OBJECTIVE: To describe variations in COVID-19 confirmed cases and deaths among assisted living (AL) residents and examine their associations with key AL characteristics. DESIGN: Observational study employing data on confirmed COVID-19 cases and deaths in ALs from seven states, through May 29, 2020. SETTING: Information on COVID-19 cases/deaths in ALs was obtained from state government websites. A national inventory of ALs was used to identify communities with and without COVID-19 cases/deaths. Medicare Beneficiary Summary File identifying AL residents was employed to develop AL characteristics. County-level COVID-19 laboratory-confirmed cases/deaths were obtained from publicly available data. PARTICIPANTS: We found 4,865 ALs (2,647 COVID-19 cases and 777 deaths) in the seven states. After excluding missing data, the sample consisted of 3,994 ALs (82.1%) with 2,542 cases (96.0%) and 675 deaths (86.9%). MAIN OUTCOMES AND MEASURES: Outcomes were AL-level counts of cases and deaths. Covariates were AL characteristics and county-level confirmed COVID-19 cases/deaths. Multivariable two-part models determined the associations of independent variables with the likelihood of at least one case and death in the AL, and with the count of cases (deaths). RESULTS: State case fatality ranged from 3.32% in North Carolina to 9.26% in Connecticut, but for ALs in these states it was 12.89% and 31.59%, respectively. Among ALs with at least one case, midsize communities had fewer cases (incidence rate ratio (IRR) = 0.829; P = .004) than small ALs. ALs with higher proportions of racial/ethnic minorities had more COVID-19 cases (IRR = 1.08; P < .001), as did communities with higher proportions of residents with dementia, chronic obstructive pulmonary disease, and obesity. CONCLUSIONS AND RELEVANCE: ALs with a higher proportion of minorities had more COVID-19 cases. Many of the previously identified individual risk factors are also present in this vulnerable population. The impact of COVID-19 on ALs is as critical as that on nursing homes, and is worth equal attention from policy makers.

Medication utilization in patients in New York hospitals during the COVID-19 pandemic.

PURPOSE: Utilization of hydroxychloroquine, chloroquine, and supportive therapy drugs in hospitals in New York during the early weeks of the coronavirus disease 2019 (COVID-19) pandemic was analyzed. SUMMARY: Drug utilization trends for 7 medications used to treat patients with suspected or confirmed COVID-19 at 47 New York hospitals were identified. The data demonstrated sharp increases in aggregate utilization of hydroxychloroquine and chloroquine and the number of patients receiving either drug beginning on March 15, with a notable 20% median increase per day through March 31. The net quantity of drug charge units per day for midazolam, propofol, ketamine, cisatracurium, and fentanyl also increased during the study period. Following peak utilization, use of all study drugs decreased at different times throughout April 2020. The data were used to provide information to various stakeholders in the drug supply chain during the initial surge of the pandemic. CONCLUSION: This analysis describes the increased use, beginning in mid-March 2020, of hydroxychloroquine, chloroquine, midazolam, propofol, ketamine, cisatracurium, and fentanyl in 47 hospitals in New York State. The increased utilization of supportive therapy drugs was consistent with the surge in patients with presumed or confirmed COVID-19 during the study period. These data and observations can help clinicians, health-system leaders, manufacturers, wholesalers, and policymakers understand the impact of current and future pandemics on the drug supply chain.

Frequency of Care Fragmentation and Its Impact on Outcomes in Acute and Chronic Pancreatitis in a Nationally Representative Sample.

OBJECTIVES: Hospitalized patients with acute and chronic pancreatitis (AP and CP) are prone to frequent readmissions to different hospitals. The rate of care fragmentation and its impact on important outcomes are unknown. The aims of this study were to evaluate the rate and predictors of care fragmentation in patients hospitalized with AP and CP using a nationally representative sample, and to analyze the impact of care fragmentation on mortality, cost, and hospital readmissions. METHODS: We identified all adult hospitalizations with a primary diagnosis of AP or CP in the 2010-2014 National Readmissions Database, which captures statewide readmissions. We calculated 30- and 90-day readmission and care fragmentation rates. Readmission to a nonindex hospital was considered care fragmentation. Logistic regression was used to determine hospital and patient factors independently associated with 30-day care fragmentation. Patients readmitted within 30 days were followed for 60 days postdischarge from the first readmission. Mortality during the first readmission, hospitalization costs, and rates of 60-day readmission were compared between those with and without care fragmentation. RESULTS: There were 479,427 admissions with AP and 25,513 with CP. The rates of 30- and 90-day readmissions were 13.5% and 22.9% for AP and 26.9% and 44.7%% for CP. The rates of 30- and 90-day care fragmentation were 28% and 32% for AP and 33% and 38% for CP. Younger age (younger than 45 y), male patients, length of stay <5 days, ≥4 Elixhauser comorbidities, and self-pay or Medicaid insurance were associated with increased risk of 30-day care fragmentation. Large hospital size, routine discharge, and metropolitan location were associated with lower risk. Patients who had the first readmission to a nonindex hospital had a higher mortality (2% vs 1.6%, P = 0.005), length of stay (6.5 vs 5.6 days, P < 0.0001), mean hospitalization cost ($16,731 vs $13,368, P < 0.0001), and 60-day readmission (48.4% vs 42.9%) compared with those readmitted to the index hospital. CONCLUSIONS: In patients with AP and CP, one-third of 90-day readmissions occur at a nonindex hospital. Care fragmentation is associated with increased mortality, readmissions, and cost of care.

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.

The use of off-label medications in substance abuse treatment programs.

Background: Substance use disorder (SUD) treatment centers serve a population of clients who have diverse needs, and may desire or require access to varied treatments while seeking care for their SUDs. While pharmacotherapies have increased in popularity for the treatment of SUDs, adoption rates do remain quite low. But a wider array of pharmacotherapies has become available in recent years which may shift the trend. This article helps shed light on how variations in SUD treatment centers develop and persist with regard to the adoption and delivery of off-label medications. Methods: We use a nationally representative and longitudinal sample of SUD treatment centers in the US (N = 196). We use a logistic regression to analyze the relationship between organizational characteristics and offering any medications, off-label. We also use a negative binomial regression to analyze the relationship between organizational characteristics and the number of medications that were used off-label. Results: Our findings reveal that older centers, accredited centers, and centers that offer mental health screenings are all positively associated with the provision of off-label medication in SUD treatment. We also find a positive relationship between private funding and offering a greater number of off-label medications. Conclusions: Our results suggest that SUD clients who seek treatment from centers that offer medications off-label, may have access to a greater number of medication-assisted treatment options.

Inpatient Psychiatric Hospitalization in Texas 1999 to 2010.

The primary purpose of the study was to examine the role public sector payers (Medicare and Medicaid) and providers (Texas state mental health hospitals) play in psychiatric hospitalization, using Texas annual hospital discharge files from 1999 to 2010. Psychiatric hospitalization, as defined by a primary behavioral health diagnosis (ICD-9 diagnoses 290-314.99) averaged 146,876 discharges per year, approximately 5.24% of all hospitalizations in the state. Children younger than 18 years accounted for 27,035 discharges per year. The top 4 diagnostic groups were depression (29%), bipolar disorder (22%), schizophrenia (18%), and alcohol-drug disorders (14%). More patients with schizophrenia or other psychotic disorders were served by the public sector, while more patients with depression or alcohol-drug disorders were served by private insurance. Interestingly, patients with bipolar disorder were distributed relatively evenly across both payment groups and ages. Length of stay decreased from 10.5 days in 1999 to 8.1 days in 2010. Most psychiatric discharges (69%) were served by a small group of 42 large psychiatric hospitals.

Does size matter? The impact of caseload and expertise concentration on AMI 30-day mortality-A comparison across 10 OECD countries.

OBJECTIVE: To examine the variability of hospital performance within and across countries, using 30-day acute myocardial infarction (AMI) mortality, and to study the impact of hospital characteristics on performance. STUDY SETTING: Hospital-level adjusted risk standardized mortality rates (RSMR) and hospital characteristics were collected from 10 OECD and two collaborating countries including 1,163 hospitals. STUDY DESIGN: Associations between RSMR and hospital characteristics were studied using univariate and multivariate linear regressions. Clusters of hospitals were created using hierarchical clustering and mortality compared using linear regression. FINDINGS: Wide variation between countries was found for RSMR and hospital characteristics. Regression models showed large country effects. A high volume of AMI admission was associated with lower RSMR in a model using a restricted number of hospital characteristics (-0.83, p < 0.001) but not in a model using all characteristics (-1.03, p = 0.06). Analysis within countries supported this association. Hospital clusters showed clear differences in characteristic distributions but no difference in RSMR. CONCLUSIONS: The effect of volume may support policies toward a concentration of services within the hospital sector. The effect of other hospital characteristics was inconclusive and suggests the importance of system-wide characteristics or pathways of care (i.e. timeliness and nature of initial response and during transportation to a hospital, transfers between hospitals, post-discharge organization) in explaining variation.

Predictors of laparoscopic versus open inguinal hernia repair.

BACKGROUND: Inguinal hernia repair (IHR) is among the most common general surgery procedures. Multiple studies have examined costs and benefits of laparoscopic approach versus open repair. This study aimed to identify patient, surgeon, and hospital demographic predictors of laparoscopic versus open IHR. METHODS: We conducted a retrospective analysis of 342,814 IHRs (241,669 open; 101,145 laparoscopic) performed in adults (age ≥ 18) from 2010 to 2015 using the Premier Hospital Database. Multivariate logistic regression was used to estimate the adjusted odds ratio of an IHR being laparoscopic versus open with respect to several demographic variables. RESULTS: The odds of an IHR being laparoscopic increased from 2010 to 2015. A laparoscopic procedure was more likely in patients who were < age 65 (OR 1.29, CI 1.24-1.31, p < 0.0001), male (OR 1.31, CI 1.27-1.34, p < 0.0001), privately insured (OR 1.36, CI 1.33-1.40, p < 0.0001), and neither white, black, nor Hispanic (OR 1.11, CI 1.09-1.14, p < 0.0001). The likelihood of a procedure being laparoscopic decreased 13% with each one-unit increase in Charlson comorbidity index value (OR 0.88, CI 0.87-0.89, p < 0.0001). Surgeons were more likely to perform a laparoscopic procedure if they had larger annual IHR caseloads (≥ 45/year; OR 1.57, CI 1.53-1.60, p < 0.0001), and operated at large hospitals (> 500 beds; OR 1.36, CI 1.33-1.39, p < 0.0001) in New England (OR 2.38, CI 2.29-2.47, p < 0.0001). Non-predictors of a laparoscopic procedure included urban/rural hospital location (OR 1.02, CI 0.10-1.05, p = 0.06) and hospital teaching status (OR 1.01, CI 0.99-1.03, p = 0.2084). CONCLUSIONS: Use of laparoscopic IHR is increasing. Patient age, gender, race, and insurance type, as well as surgeon annual volume, hospital size, and hospital region were predictors of a laparoscopic procedure. Further studies are needed to explain and remedy underlying differences impacting these predictors.

Capacity assessment of the health laboratory system in two resource-limited provinces in China.

BACKGROUND: Strong laboratory capacity is essential for detecting and responding to emerging and re-emerging global health threats. We conducted a quantitative laboratory assessment during 2014-2015 in two resource-limited provinces in southern China, Guangxi and Guizhou in order to guide strategies for strengthening core capacities as required by the International Health Regulations (IHR 2005). METHODS: We selected 28 public health and clinical laboratories from the provincial, prefecture and county levels through a quasi-random sampling approach. The 11-module World Health Organization (WHO) laboratory assessment tool was adapted to the local context in China. At each laboratory, modules were scored 0-100% through a combination of paper surveys, in-person interviews, and visual inspections. We defined module scores as strong (> = 85%), good (70-84%), weak (50-69%), and very weak (< 50%). We estimated overall capacity and compared module scores across the provincial, prefecture, and county levels. RESULTS: Overall, laboratories in both provinces received strong or good scores for 10 of the 11 modules. These findings were primarily driven by strong and good scores from the two provincial level laboratories; prefecture and county laboratories were strong or good for only 8 and 6 modules, respectively. County laboratories received weak scores in 4 modules. The module, 'Public Health Functions' (e.g., surveillance and reporting practices) lagged far behind all other modules (mean score = 46%) across all three administrative levels. Findings across the two provinces were similar. CONCLUSIONS: Laboratories in Guangxi and Guizhou are generally performing well in laboratory capacity as required by IHR. However, we recommend targeted interventions particularly for county-level laboratories, where we identified a number of gaps. Given the importance of surveillance and reporting, addressing gaps in public health functions is likely to have the greatest positive impact for IHR requirements. The quantitative WHO laboratory assessment tool was useful in identifying both comparative strengths and weaknesses. However, prior to future assessments, the tool may need to be aligned with the new WHO IHR monitoring and evaluation framework.

Assessment of Capacity to Meet Lancet Commission on Global Surgery Indicators in the Federal Capital Territory, Abuja, Nigeria.

BACKGROUND: This is a baseline assessment of surgical capacity in the Federal Capital Territory (FCT), in preparation for the creation of a National Surgical, Obstetric, Anesthesia, and Nursing Plan. METHODS: In October 2017, all 10 of the 11 secondary hospitals in FCT that provide surgical and/or obstetric care were surveyed using a modified World Health Organization Hospital Assessment Tool and a qualitative semi-structured hospital interview tool of the medical Director (MdD). This project received approval from the Nigeria Federal Ministry of Health and the FCT Department of Health and Human Services. RESULTS: The number of inpatient beds ranged from 35 to 140, and the number of admissions ranged from 1200 to 6400 patients per year. The mean number of surgeries performed in 2016 by these hospitals was 783 (range 235-1601). Cesarean section was the most common surgical procedure at each hospital. Only five hospitals regularly performed laparotomies. Only three hospitals regularly performed fixation of open fractures. Of 152 surgical, obstetric, and anesthesia providers, all hospitals had at least one consultant obstetrician, but only four hospitals had a general surgeon and three hospitals had a consultant anesthesiologist. Deficient physical space for inpatient admissions was the most common concern of MdDs. CONCLUSIONS: The FCT reaches the target for 2-h access, with 80% of patients (on average) reaching the hospital within 2 h. However, SAO provider density, surgical volume, and tracking of the perioperative mortality rate were low. Data were lacking to comment on protection against impoverishing and catastrophic expenditures.

Trends in mortality and resource utilization for extracorporeal membrane oxygenation in the United States: 2008-2014.

BACKGROUND: Extracorporeal membrane oxygenation is used as a life-sustaining measure in patients with acute or end-stage cardiac or respiratory failure. We analyzed national trends in extracorporeal membrane oxygenation use and outcomes and assessed the influence of hospital demographics. METHODS: Adult extracorporeal membrane oxygenation patients in the 2008-2014 National Inpatient Sample were evaluated. Patient and hospital characteristics, extracorporeal membrane oxygenation indication, mortality, and hospital costs were analyzed. RESULTS: A total 17,020 adult extracorporeal membrane oxygenation patients were considered: 47.4% respiratory failure, 38.6% postcardiotomy, 5.5% lung transplantation, 5.5% cardiogenic shock, and 3.2% heart transplantation. Admissions rose 361% from 1,026 in 2008 to 4,815 in 2014 (P < .0001), and the fraction of respiratory failure increased 40.5%-49.8% (P < .001). Elixhauser scores rose from 3.1 to 4.1 (P < .0001). Mortality decreased among total admissions from 62.4% to 42.7% (P < .0001) associated with an observed decline in postcardiotomy mortality. Mean hospital costs and length of stay remained stable throughout the study period. Although extracorporeal membrane oxygenation occurred most frequently at large hospitals, small and medium-sized hospitals showed significant expansion (P < .001). The Northeast exhibited a sustained three-fold per capita increase in extracorporeal membrane oxygenation rate (P < .0001). CONCLUSION: The past decade has seen an exponential growth of ECMO extracorporeal membrane oxygenation in the United States, with the fraction for respiratory failure displaying considerable growth. Overall extracorporeal membrane oxygenation patients experienced substantially reduced mortality, driven by improved outcomes for postcardiotomy patients, along with a trend toward an increased risk profile. Disproportionate use of extracorporeal membrane oxygenation in the Northeast warrants investigation of access to this technology across the United States.