Median Odds Ratio Research Articles

Contemporary use of intra-aortic balloon pumps during percutaneous coronary intervention: insights from the Veterans Affairs Clinical Assessment, Reporting, and Tracking program.

Intra-aortic balloon pumps (IABP) support nonemergent and emergent percutaneous coronary intervention (PCI). Recent studies have not showed a routine benefit to this practice. We sought to evaluate the temporal trends in balloon pump utilization and site-level variation within a large integrated healthcare system. We identified all patients that underwent PCI in the Veterans Affairs Healthcare System between 1 January 2008 and 31 December 2015. Procedural information was ascertained from the medical record and stratified by the concomitant use of an IABP. Site-specific variation was determined with mixed logistic regression models and reported as a median odds ratio. There were 88 851 interventions performed on 71 529 patients across 71 hospitals with 1289 (1.5%) of these utilizing an IABP. Patients that underwent an intervention with this device had more medical comorbidities, as reflected by an increase in the median National Cardiovascular Data Registry CathPCI mortality score (34 vs. 15, P<0.001). The overall utilization of balloon pumps was constant throughout the study period (P=0.446). However, there was a significant decline (P=0.027) in its use during emergent cases with a significant increase (P=0.009) during nonemergent cases. Furthermore, there was site variation in use independent of patient or procedural characteristics (median odds ratio: 1.82, 95% confidence interval: 1.58-2.16). In the largest integrated healthcare system in the USA, there was a significant decline in IABP use among emergent cases and a significant increase during nonemergent cases. Residual site variation suggests an opportunity to standardize a procedural approach consistent with currently available data.

Hospital Variation in the Utilization of Short-Term Nondurable Mechanical Circulatory Support in Myocardial Infarction Complicated by Cardiogenic Shock.

Limited knowledge exists on inter-hospital variation in the utilization of short-term, nondurable mechanical circulatory support (MCS) for myocardial infarction (MI) complicated by cardiogenic shock (CS). Hospitalizations for MI with CS in 2014 in a nationally representative all-payer database were included. The proportion of hospitalizations for MI with CS using MCS (MCS ratio) and in-hospital mortality were evaluated. Hospital characteristics and outcomes were compared across quartiles of MCS usage. Of 1813 hospitals evaluated, 1440 (79.4%) performed ≥10 percutaneous coronary interventions annually. Of these, 1064 (73.9%) had at least one code for MCS. Forty-one percent of hospitals did not use MCS. The median (interquartile range) proportion of MCS use among admissions for MI with CS was 33.3% (0.0%-50.0%). High MCS utilizing hospitals were larger ( P<0.001). Eighty-five percent (2808/3301) of MCS use was intra-aortic balloon pump. There was significant variation in receipt of MCS at different hospitals (median odds ratio of receiving MCS at 2 random hospitals: 1.58; 95% CI, 1.45-1.70). Adjusted in-hospital mortality was not different across quartiles of MCS use (Q4 versus Q1; odds ratio, 0.95; 95% CI, 0.77-1.16; P=0.58). Wide variation exists in hospital use of MCS for MI with CS, unexplained by patient characteristics. The predominant form of MCS use is intra-aortic balloon pump. Risk-adjusted mortality rates were not different between higher and lower MCS-utilizing hospitals.

United States State-Level Variation in the Use of Neuraxial Analgesia During Labor for Pregnant Women

Neuraxial labor analgesia is recognized as the most effective method of providing pain relief during labor. Little is known about variation in the rates of neuraxial analgesia across US states. Identifying the presence and extent of variation may provide insights into practice variation and may indicate where access to neuraxial analgesia is inadequate. To test the hypothesis that variation exists in neuraxial labor analgesia use among US states. Retrospective, population-based, cross-sectional analysis using US birth certificate data. Participants were 2 625 950 women who underwent labor in 2015. State-specific prevalence of neuraxial analgesia per 100 women who underwent labor and variability in neuraxial analgesia use among states, assessed using multilevel multivariable regression modeling with the median odds ratio and the intraclass correlation coefficient to evaluate variation by state. In the study population of 2 625 950 women, 0.1% (n = 2010) were younger than 15 years, 7.0% (n = 183 546) were between the ages of 15 and 19 years, 23.6% (n = 620 118) were between the ages of 20 and 24 years, 29.6% (n = 777 957) were between the ages of 25 and 29 years, 26.0% (n = 683 656) were between the ages of 30 and 34 years, 11.4% (n = 298 237) were between the ages of 35 and 39 years, 2.2% (n = 57 130) were between the ages of 40 and 44 years, and 0.1% (n = 3296) were between the ages of 45 and 54 years. More than 90% were privately insured or insured with Medicaid. Neuraxial analgesia was used by 73.1% (n = 1 920 368) of women. After adjustment for antepartum, obstetric, and intrapartum factors, Maine had the lowest neuraxial analgesia prevalence (36.6%; 95% CI, 33.2%-40.1%) and Nevada the highest (80.1%; 95% CI, 78.3%-81.7%). The adjusted median odds ratio was 1.5 (95% CI, 1.4-1.6), and the intraclass correlation coefficient was 5.4% (95% CI, 4.0%-7.9%). Results of this study suggest that a small portion of the overall variation in neuraxial analgesia use is explained by US states. Unmeasured patient-level and hospital-level factors likely account for a large portion of the variation between states. Efforts should be made to understand what the main reasons are for this variation and whether the variation influences maternal or perinatal outcomes.

General contextual effects on neglected tropical disease risk in rural Kenya.

The neglected tropical diseases (NTDs) are characterized by their tendency to cluster within groups of people, typically the poorest and most marginalized. Despite this, measures of clustering, such as within-group correlation or between-group heterogeneity, are rarely reported from community-based studies of NTD risk. We describe a general contextual analysis that uses multi-level models to partition and quantify variation in individual NTD risk at multiple grouping levels in rural Kenya. The importance of general contextual effects (GCE) in structuring variation in individual infection with Schistosoma mansoni, the soil-transmitted helminths, Taenia species, and Entamoeba histolytica/dispar was examined at the household-, sublocation- and constituency-levels using variance partition/intra-class correlation co-efficients and median odds ratios. These were compared with GCE for HIV, Plasmodium falciparum and Mycobacterium tuberculosis. The role of place of residence in shaping infection risk was further assessed using the spatial scan statistic. Individuals from the same household showed correlation in infection for all pathogens, and this was consistently highest for the gastrointestinal helminths. The lowest levels of household clustering were observed for E. histolytica/dispar, P. falciparum and M. tuberculosis. Substantial heterogeneity in individual infection risk was observed between sublocations for S. mansoni and Taenia solium cysticercosis and between constituencies for infection with S. mansoni, Trichuris trichiura and Ascaris lumbricoides. Large overlapping spatial clusters were detected for S. mansoni, T. trichiura, A. lumbricoides, and Taenia spp., which overlapped a large cluster of elevated HIV risk. Important place-based heterogeneities in infection risk exist in this community, and these GCEs are greater for the NTDs and HIV than for TB and malaria. Our findings suggest that broad-scale contextual drivers shape infectious disease risk in this population, but these effects operate at different grouping-levels for different pathogens. A general contextual analysis can provide a foundation for understanding the complex ecology of NTDs and contribute to the targeting of interventions.

Improving Antimicrobial Prescribing: A Multinomial Model Identifying Factors Associated With First- and Second-Line Prescribing

Background/objectivesBroad-spectrum, second-line antimicrobials may be prescribed when initial first-line options prove ineffective. This study compares prescribing practices and identifies potential influencing factors for first- and second-line antimicrobials in long-term care facilities. DesignPoint prevalence survey of health care–associated infections and antimicrobial use in long-term care facilities (HALT), expanded by additional data collection. SettingLong-term care facilities in Ireland. ParticipantsOf long-term care facilities that participated in the HALT study 2016, additional data provided by 77 facilities with a record of 3677 residents. MeasurementOn the survey date, an institutional questionnaire was completed by each participating long-term care facility, and resident questionnaires were completed only for those residents who met a health care–associated infection surveillance definition and/or were prescribed a systemic antimicrobial. All participating long-term care facilities were contacted at a later time point to provide limited anonymized data (age, sex, urinary catheterization, and disorientation) on all current residents. These additional data were matched to the original data set, facilitating multilevel multinominal logistic regression (first-line/second-line/no antimicrobial). ResultsOf 3677 residents in 77 long-term care facilities, 381 (10%) were prescribed systemic antimicrobials on the survey day. Of those, 46% were categorized as second-line choices, with substantial interfacility variation observed with regard to prescription of first- versus second-line antimicrobials. The odds of a second-line antimicrobial prescription for a resident doubled when comparing the highest with the lowest prescribing long-term care facilities (median odds ratio = 2.0, credibility interval = 1.5-2.9). Male residents were less often prescribed first-line antimicrobials [odds ratio (OR) = 0.6, 95% confidence interval (CI) = 0.4-0.9, P = .02]. Long-term care facilities that reported the provision of education on antimicrobial prescribing use significantly less second-line antimicrobials (OR = 0.2, 95% CI = 0.1-0.7, P = .02). Females and residents with a urinary catheter were more likely to receive first-line antimicrobials. Conclusion/ImplicationsThe use of second-line antimicrobials is common practice in long-term care facilities, but education and training on appropriate antimicrobial use has the potential to reduce second-line antimicrobial prescribing, improve patients' outcomes, and reduce antimicrobial resistance.

Meta-analysis of case-control studies on the relationship between lung cancer and indoor radon exposure.

Indoor exposure to natural radon is a factor that influences lung cancer risk worldwide. The present study includes a meta-analysis of epidemiological data on the relationship between lung cancer and indoor radon. Altogether, 31 case-control studies with 20,703 cases, 34,518 controls and 140 individual odds ratio (OR) estimates are included in the meta-analysis. Weighted median OR was calculated for five radon intervals. The following parameters were used for the weighting: standard error of OR, duration of radon concentration measurement, and relative number of controls in reference intervals. The dependence of the weighted median OR on the radon concentration was estimated applying linear non-threshold and threshold models. The results obtained suggest a significant linear no-threshold exposure-effect relationship for radon concentrations above 100Bq/m3, with a slope of 0.14 (95% confidence interval 0.08-0.21) per 100Bq/m3.

A multilevel analysis of overweight and obesity among non-pregnant women of reproductive age in Malawi: evidence from the 2015-16 Malawi Demographic and Health Survey.

Overweight and obesity are well-known risk factors for non-communicable diseases such as cardiovascular disease, diabetes, some cancers and musculoskeletal disorders. In Malawi, the proportion of women who are overweight/obese has doubled, from 10% in 1992 to 21% in 2015-16. Therefore we aimed to explore the individual- and community-level factors associated with overweight and obesity among non-pregnant women of child-bearing age. Secondary analysis of the 2015-16 Malawi Demographic and Health Survey was conducted. Overweight was defined as a body mass index (BMI) of 25 to <30 kg/m2, while obesity was defined as a BMI ≥30 kg/m2. Two-level multilevel multivariable logistic regression models were constructed using a logit-link function with a binomial distribution on 7326 women living in 850 different communities. At the individual level, the adjusted multilevel regression results showed that women 15-19 y of age as well as women from the poorest households had reduced odds of being overweight/obese. However, women with white collar jobs and women who were affiliated with the Church of Central Africa Presbyterian and the Roman Catholic church had increased odds of being overweight/obese. At the community level, women from urban areas and women who resided in communities with a low percentage of media exposure had increased odds of being overweight or obese. While women from poor communities had reduced odds of being overweight and obese, the proportion change in variance showed that 56, 77 and 78% of total variations in the odds of overweight, obese and overweight/obese across the communities were explained by both individual- and community-level factors. The median odds ratio showed that the likelihood of maternal overweight, obese and overweight/obese increased by 63, 39 and 84% when the women moved from low- to high-risk neighbourhoods. Older women, Christian women, women with white collar jobs and women from the richest households should be targeted during policy formulation. At the community level, media coverage should be spread evenly so that health awareness messages, consequences and means of overweight and obesity prevention are getting to the targeted women. Our study revealed evidence of clustering effects of overweight and obesity at the community level, hence neighbourhood variations with respect to maternal overweight and obesity should be taken into account when designing nutritional policies.

Hospital-, Anesthesiologist-, and Patient-level Variation in Primary Anesthesia Type for Hip Fracture Surgery: A Population-based Cross-sectional Analysis.

WHAT THIS MANUSCRIPT TELLS US THAT IS NEW: BACKGROUND:: Substantial variation in primary anesthesia type for hip fracture surgery exists. Previous work has demonstrated that patients cared for at hospitals using less than 20 to 25% neuraxial anesthesia have decreased survival. Therefore, the authors aimed to identify sources of variation in anesthesia type, considering patient-, anesthesiologist-, and hospital-level variables. Following protocol registration (NCT02787031), the authors conducted a cross-sectional analysis of a population-based cohort using linked administrative data in Ontario, Canada. The authors identified all people greater than 65 yr of age who had emergency hip fracture surgery from April 2002 to March 2014. Generalized linear mixed models were used to account for hierarchal data and measure the adjusted association of hospital-, anesthesiologist-, and patient-level factors with neuraxial anesthesia use. The proportion of variation attributable to each level was estimated using variance partition coefficients and the median odds ratio for receipt of neuraxial anesthesia. Of 107,317 patients, 57,080 (53.2%) had a neuraxial anesthetic. The median odds ratio for receiving neuraxial anesthesia was 2.36 between randomly selected hospitals and 2.36 between randomly selected anesthesiologists. The majority (60.1%) of variation in neuraxial anesthesia use was explained by patient factors; 19.9% was attributable to the anesthesiologist providing care and 20.0% to the hospital where surgery occurred. The strongest patient-level predictors were absence of preoperative anticoagulant or antiplatelet agents, absence of obesity, and presence of pulmonary disease. While patient factors explain most of the variation in neuraxial anesthesia use for hip fracture surgery, 40% of variation is attributable to anesthesiologist and hospital-level practice. Efforts to change practice patterns will need to consider hospital-level processes and anesthesiologists' intentions and behaviors.

Variation of preoperative chest radiography utilization in Switzerland and its influencing factors: a multilevel study with claims data

Clinical recommendations discourage routine use of preoperative chest radiography (POCR). However, there remains much uncertainty about its utilization, especially variation across small areas. We aimed to assess the variation of POCR use across small regions, and to explore its influencing factors. Patients undergoing inpatient surgery during 2013 to 2015 were identified from insurance claims data. Possible influencing factors of POCR included socio-demographics, health insurance choices, and clinical characteristics. We performed multilevel modelling with region and hospital as random effects. We calculated 80% interval odds ratios (IOR-80) to describe the effect of hospital type, and median odds ratios (MOR) to assess the degree of higher level variation. Utilization rates of POCR varied from 2.5% to 44.4% across regions. Higher age, intrathoracic pathology, and multi-morbidity were positively associated with the use of POCR. Female gender, choice of high franchise and supplementary hospital insurance showed a negative association. MOR was 1.25 and 1.69 for region and hospital levels, respectively. IOR-80s for hospital type were wide and covered the value of one. We observed substantial variation of POCR utilization across small regions in Switzerland. Even after controlling for multiple factors, variation across small regions and hospitals remained. Underlying mechanisms need to be studied further.

Assessing Variability in Hospital-Level Mortality Among U.S. Medicare Beneficiaries With Hospitalizations for Severe Sepsis and Septic Shock*

To assess the variability in short-term sepsis mortality by hospital among Centers for Medicare and Medicaid Services beneficiaries in the United States during 2013-2014. A retrospective cohort design. Hospitalizations from 3,068 acute care hospitals that participated in the Centers for Medicare and Medicaid Services inpatient prospective payment system in 2013 and 2014. Medicare fee-for-service beneficiaries greater than or equal to 65 years old who had an inpatient hospitalization coded with present at admission severe sepsis or septic shock. None. Individual level mortality was assessed as death at or within 7 days of hospital discharge and aggregated to calculate hospital-level mortality rates. We used a logistic hierarchal linear model to calculate mortality risk-adjusted for patient characteristics. We quantified variability among hospitals using the median odds ratio and calculated risk-standardized mortality rates for each hospital. The overall crude mortality rate was 34.7%. We found significant variability in mortality by hospital (p < 0.001). The middle 50% of hospitals had similar risk-standardized mortality rates (32.7-36.9%), whereas the decile of hospitals with the highest risk-standardized mortality rates had a median mortality rate of 40.7%, compared with a median of 29.2% for hospitals in the decile with the lowest risk-standardized mortality rates. The median odds ratio (1.29) was lower than the adjusted odds ratios for several measures of patient comorbidities and severity of illness, including present at admission organ dysfunction, no identified source of infection, and age. In a large study of present at admission sepsis among Medicare beneficiaries, we showed that mortality was most strongly associated with underlying comorbidities and measures of illness on arrival. However, after adjusting for patient characteristics, mortality also modestly depended on where a patient with sepsis received care, suggesting that efforts to improve sepsis outcomes in lower performing hospitals could impact sepsis survival.

Hospital Variation in the Utilization and Implementation of Targeted Temperature Management in Out-of-Hospital Cardiac Arrest.

Background Targeted temperature management (TTM) for out-of-hospital cardiac arrest is associated with improved functional survival and is a class I recommendation in resuscitation guidelines. However, patterns of utilization of TTM and adherence to recommended TTM guidelines in contemporary practice are unknown. Methods and Results In a multicenter, prospective cohort of consecutive adults with non-traumatic out-of-hospital cardiac arrest in the Resuscitation Outcomes Consortium in 2012 to 2015, we identified all adults (≥18 years) who were potential candidates for TTM. Of 37 898 out-of-hospital cardiac arrest patients at 186 hospitals across 10 Resuscitation Outcomes Consortium sites, 8313 survived for ≥4 hours after hospital arrival, of which, 2878 (34.6%) received TTM. Mean age was 61.5 years and 36.3% were women. Median hospital rate of TTM use was 27% (interquartile range [IQR]: 14%, 45%), with an over 2-fold difference across sites after accounting for differences in presentation characteristics (median odds ratio, 2.10 [1.83-2.26]). Notably, TTM utilization decreased during the study period (57.5% [2012] to 26.5% [2015], P<0.001) including among shockable out-of-hospital cardiac arrest (73.4% to 46.3%, P<0.001). When administered, the median rate of deviation from one or more recommended practices was 60% (IQR: 40%, 78%). The median rate for delayed onset of TTM was 13% (IQR: 0%, 25%), varying by 70% for identical patients across 2 randomly chosen hospitals (median odds ratio 1.70 [1.39-1.97]). Similarly, the median rate for TTM <24 hours was 20% (IQR: 0%, 34%) and for achieved temperature <32°C was 18% (IQR: 0%, 39%), with marked variation across sites (median odds ratios of 1.44 [1.18-1.64] and 1.98 [1.62-2.31], respectively). Conclusions There has been a substantial decline in the utilization of TTM with significant variation in its real-world implementation. Further standardization of contemporary post-resuscitation practices, like TTM, is critical to ensure that their potential survival benefit is realized.

Guideline-directed statin intensification in patients with new or worsening symptoms of peripheral artery disease.

The ACC/AHA cholesterol guidelines recommend patients with peripheral artery disease (PAD) be treated with a moderate to high-intensity statin. The extent to which patients with new or worsening PAD symptoms are offered guideline therapy is unknown. There is significant variability in rate of guideline-directed statin intensification across clinical practices. In the PORTRAIT registry, patterns of statin therapy were assessed in 1144 patients at 16 PAD specialty clinics between June 2011 and December 2015 before and after an evaluation for new or worsening claudication symptoms. We documented whether patients were treated with a guideline statin as well as the incidence of statin intensification. Statin intensification was defined as transitioning from no statin or low-intensity statin to moderate or high-intensity statin treatment. Patient factors associated with intensification were examined. Site and provider-level variation in intensification was summarized using an adjusted median odds ratio (aMOR). Among 1144 patients, 810 (70.8%) were initially on guideline therapy compared to 334 (29.2%) that were not. In the latter, 103 (30.8%) received intensification following evaluation. Patients with typical symptoms displayed greater odds of intensification (OR 3.74; 95% CI: 1.23-11.41) while older patients had lower odds of intensification (OR 0.60/decade; 95% CI: 0.41-0.88). Site variability for statin intensification was observed across sites (aMOR = 3.15; 95% CI 1.22-9.60, [P = 0.02]) but not providers (aMOR = 1.89; 95% CI 1.00-3.90, [P = 0.14]). Most patients evaluated at a PAD specialty clinic for new or worsening claudication symptoms arrived on guideline statin therapy. Only 31% not receiving appropriate therapy underwent statin intensification. These findings highlight an important opportunity to optimize medical therapy for patients with PAD.

Empirical evidence of the effect of personality pathology on the outcome of panic disorder

BackgroundTreatment resistant disorders are a significant clinical problem. Impediments to good outcome need to be identified and addressed. Personality pathology has been hypothesized to be one such factor in panic disorder. There is no consensus as to the effects of personality pathology on the outcome of panic disorder. This study examined empirical evidence. The hypothesis was that personality pathology would cause poorer outcome of panic disorder. MethodsA literature search was conducted that winnowed 2627 articles down to 27 based on 1) longitudinal design; 2) validated measures of personality; 3) validated outcome measures; and 4) the presence of effect size or data to calculate effect size. All effect sizes were translated into odds ratios (ORs) for ease of comparison. ResultsAn overall median OR of 2.7 was found, indicating personality pathology negatively affected outcome. This finding persisted even when adjusted for baseline severity of illness. The effects were found for both clinical outcomes (OR = 2.7) and for social adjustment (OR = 2.9). There was a tendency for more dropouts in the personality pathology group. More highly structured drug therapy regimens and highly structured psychotherapy seemed to partially mitigate this outcome. ConclusionThe negative effect of personality pathology was confirmed in well-designed longitudinal studies. This was not related to initial clinical severity. Clinical implications are that patients with personality pathology require the therapist to stick more closely to treatment protocols and to mitigate the tendency of these patients to drop out of treatment.

Surgical site infection in abdominal surgery: A prospective study

Objective The objective of this review was to characterize risk factors for surgical site infection (SSI) within observational studies describing incidence of SSI in a real-world setting. Data sources Medline databases (PubMed, Medscape, ScienceDirect and EMF-Portal) and all materials available on the Internet from 1991 to 2016 were used. Study selection An initial search identified 328 titles published in 2000–2016; 57 were identified as relevant for data extraction. The articles studied the incidence and risk factors of SSI in general or in specific types of surgeries on variable number of patients. Data extraction If the studies did not fulfill inclusion criteria, they were excluded. Study quality assessment included whether ethics approval was gained, eligibility criteria were specified, appropriate controls were used, and adequate information and defined assessment measures were described. Data synthesis Comparisons were made by structured review with the results tabulated. Findings The median SSI incidence was 3.7%, ranging from 0.1 to 50.4%. Incidence of overall SSI and Staphylococcus aureus SSI were both highest in tumor-related and transplant surgeries. The median time until SSI onset was 17.0 days. Risk factors consistently identified as associated with SSI included comorbidities, advanced age, risk indexes, patient comorbidity, and surgery complexity. Thirteen studies considered diabetes as a risk factor in multivariable analyses; 85% found a significant association with SSI. Longer surgeries were associated with increased SSI risk, with a median odds ratio of 2.3 across 11 studies reporting significant results. Conclusion In a broad review of the published literature, the median SSI incidence was 3.7%. Risk factors for SSI were characterized as describing reduced fitness, patient comorbidity, surgery duration, and complexity. Recognition of risk factors frequently associated with SSI allows for optimal preventive measures before surgery.

Variation in Survival After Out-of-Hospital Cardiac Arrest Between Emergency Medical Services Agencies

Emergency medical services (EMS) deliver essential initial care for patients with out-of-hospital cardiac arrest (OHCA), but the extent to which patient outcomes vary between different EMS agencies is not fully understood. To quantify variation in patient outcomes after OHCA across EMS agencies. This observational cohort study was conducted in the Resuscitation Outcomes Consortium (ROC) Epistry, a prospective multicenter OHCA registry at 10 sites in North America. Any adult with OHCA treated by an EMS from April 2011 through June 2015 was included. Data analysis occurred from May 2017 to March 2018. Treating EMS agency. The primary outcome was survival to hospital discharge. Secondary outcomes were return of spontaneous circulation at emergency department arrival and favorable functional outcome at hospital discharge (defined as a modified Rankin scale score ≤3). Multivariable hierarchical logistic regression models were used to adjust confounders and clustering of patients within EMS agencies, and calculated median odds ratios (MORs) were used to quantify the extent of residual variation in outcomes between EMS agencies. We identified 43 656 patients with OHCA treated by 112 EMS agencies. At EMS agency level, we observed large variations in survival to hospital discharge (range, 0%-28.9%; unadjusted MOR, 1.43 [95% CI, 1.34-1.54]), return of spontaneous circulation on emergency department arrival (range, 9.0%-57.1%; unadjusted MOR, 1.53 [95% CI, 1.43-1.65]), and favorable functional outcome (range, 0%-20.4%; unadjusted MOR, 1.54 [95% CI, 1.40-1.73]). This variation persisted despite adjustment for patient-level and EMS agency-level factors known to be associated with outcomes (adjusted MOR for survival 1.56 [95% CI 1.44-1.73]; adjusted MOR for return of spontaneous circulation at emergency department arrival, 1.50 [95% CI, 1.41-1.62]; adjusted MOR for functionally favorable survival, 1.53 [95% CI, 1.37-1.78]). After restricting analysis to those who survived more than 60 minutes after hospital arrival and including hospital treatment characteristics, the variation persisted (adjusted MOR for survival, 1.49 [95% CI, 1.36-1.69]; adjusted MOR for functionally favorable survival, 1.34 [95% CI, 1.20-1.59]). We found substantial variations in patient outcomes after OHCA between a large group of EMS agencies in North America that were not explained by documented patient-level and EMS agency-level variables.

External benchmarking of trauma services in New South Wales: Risk-adjusted mortality after moderate to severe injury from 2012 to 2016

BackgroundTrauma centres and systems have been associated with improved morbidity and mortality after injury. However, variability in outcomes across centres within a given system have been demonstrated. Performance improvement initiatives, that utilize external benchmarking as the backbone, have demonstrated system-wide improvements in outcomes. This data driven approach has been lacking in Australia to date. Recent improvement in local data quality may provide the opportunity to engage in data driven performance improvement. Our objective was to generate risk-adjusted outcomes for the purpose of external benchmarking of trauma services in New South Wales (NSW) based on existing data standards. MethodsRetrospective cohort study of the NSW Trauma Registry. We included adults (>16 years), with an Injury Severity Score >12, that received definitive care at either Major Trauma Services (MTS) or Regional Trauma Services (RTS) between 2012-2016. Hierarchical logistic regression models were then used to generate risk-adjusted outcomes. Our outcome measure was in-hospital death. Demographics, vital signs, transfer status, survival risk ratios, and injury characteristics were included as fixed-effects. Median odds ratios (MOR) and centre-specific odds ratios with 95% confidence intervals were generated. Centre-level variables were explored as sources of variability in outcomes. Results14,452 patients received definitive care at one of seven MTS (n = 12,547) or ten RTS (n = 1905). Unadjusted mortality was lower at MTS (9.4%) compared to RTS (11.2%). After adjusting for case-mix, the MOR was 1.33, suggesting that the odds of death was 1.33-fold greater if a patient was admitted to a randomly selected centre with worse as opposed to better risk-adjusted mortality. Definitive care at an MTS was associated with a 41% lower likelihood of death compared to definitive care at an RTS (OR 0.59 95%CI 0.35-0.97). Similar findings were present in the elderly and isolated severe brain injury subgroups. ConclusionsThe NSW trauma system exhibited variability in risk-adjusted outcomes that did not appear to be explained by case-mix. A better understanding of the drivers of the described variation in outcomes is crucial to design targeted locally-relevant quality improvement interventions.

Variation in Access to Specialist Care and Risk of Surgery in Patients with Inflammatory Bowel Disease: A Population-Based Cohort Study

IntroductionInflammatory bowel disease (IBD; subtypes: Crohn’s disease (CD) and ulcerative colitis (UC)) is a chronic disease of the gastrointestinal tract with rising prevalence among people ≥65y. Rural residents, especially those ≥65y, have decreased access to specialist care. Specialist care is associated with lower risk of hospitalization and surgery.&#x0D; Objectives and ApproachWe evaluated variation across physician networks in access to specialist care and surgery among incident patients ≥65y in Ontario health administrative data. Access to specialist care was defined as: ≥1 outpatient visit to gastroenterologists or the majority of IBD-specific outpatient care by gastroenterologists. Variation was assessed with multilevel logistic regression and median odds ratios (MOR), adjusting for age, sex, distance from IBD physician, comorbidities, neighbourhood income, and rural/urban. Models evaluating surgical risk also adjusted for specialist care use, emergency department visits, and hospitalization at diagnosis. Network-level variables included rurality (RIO score), population colonoscopy and gastroenterologist supply.&#x0D; ResultsThere was significant variation in having ≥1 gastroenterologist visit (CD p=0.0001, MOR 3.3; UC p&lt;0.0001, MOR 3.1) and gastroenterologist providing the majority of care (CD p=0.0001, MOR 3.0; UC p&lt;0.0001, MOR 3.7) within 12 months of diagnosis. Variation remained significant after accounting for network-level characteristics (≥1 gastroenterologist visit: CD p=0.0002, MOR 2.6, UC p&lt;0.0001, MOR 2.2; majority of care: CD p=0.0002, MOR 2.4; UC p&lt;0.0001, MOR 2.4). In CD, there was no variation in the five-year risk of surgery (p=0.07, MOR 1.3) and was unchanged by network-level factors (p=0.13, MOR 1.3). Variation in the risk of colectomy exists for patients with UC (p=0.016, MOR 1.3) and was not reduced when accounting for network-level characteristics (p=0.019, MOR 1.3).&#x0D; Conclusion/ImplicationsAccess to specialist care among patients with elderly-onset IBD is varies greatly between networks but this variation cannot be explained by differing provision of gastroenterological services across physician networks. Further research is needed to understand the factors that influence access to care and outcomes in elderly patients with IBD.

Variation in readmission rates among hospitals following admission for traumatic injury

IntroductionReadmission following hospital discharge is both common and costly. The Hospital Readmission Reduction Program (HRRP) financially penalizes hospitals for readmission following admission for some conditions, but this approach may not be appropriate for all conditions. We wished to determine if hospitals differed in their adjusted readmission rates following an index hospital admission for traumatic injury. Patients and MethodsWe extracted from the AHRQ National Readmission Dataset (NRD) all non-elderly adult patients hospitalized following traumatic injury in 2014. We estimated hierarchal logistic regression models to predicted readmission within 30 days. Models included either patient level predictors, hospital level predictors, or both. We quantified the extent of hospital variability in readmissions using the median odds ratio. Additionally, we computed hospital specific risk-adjusted rates of readmission and number of excess readmissions. ResultsOf the 177,322 patients admitted for traumatic injury 11,940 (6.7%) were readmitted within 30 days. Unadjusted hospital readmission rates for the 637 hospitals in our study varied from 0% to 20%. After controlling for sources of variability the range for hospital readmission rates was between 5.5% and 8.5%. Only 2% of hospitals had a random intercept coefficient significantly different from zero, suggesting that their readmission rates differed from the mean level of all hospitals. We also estimated that in 2014 only 11% of hospitals had more than 2 excess readmissions. Our multilevel model discriminated patients who were readmitted from those not readmitted at an acceptable level (C = 0.74). ConclusionsWe found little evidence that hospitals differ in their readmission rates following an index admission for traumatic injury. There is little justification for penalizing hospitals based on readmissions after traumatic injury.

Trends in Use of Daily Chest Radiographs Among US Adults Receiving Mechanical Ventilation

Guidelines from December 2011 recommended against obtaining daily chest radiographs (CXRs) for patients requiring mechanical ventilation (MV). Daily CXR use for patients receiving MV in US hospitals is unknown and, if high, may represent an opportunity to reduce low-value care and unnecessary radiation. To determine frequency of daily CXR use for US patients receiving MV, assess variability across hospitals, and evaluate whether use has decreased over time. Retrospective cohort study of hospitalized adults (aged ≥18 years) receiving MV for 3 days or longer. Mechanical ventilation was defined by having an International Classification of Diseases, Ninth Revision, Clinical Modification code of 96.7x and an MV charge on more than 1 hospital day. Hospital discharges in the Premier Perspectives database were examined from July 1, 2008, to December 31, 2014. Data analysis was conducted from July 28, 2017, to December 13, 2017. Hospital discharge date (quarter of the year) and hospital in which patients received MV. The outcome was daily CXR use (up to 7 days) during MV. We used standard statistics to describe CXR use, multilevel multivariable regression modeling with adjusted median odds ratio (OR) to evaluate variability by hospital, and multivariable piecewise regression (breakpoint: fourth quarter of 2011) with adjusted OR to evaluate time trends and response to guideline recommendations. The primary cohort included 512 518 patients receiving MV (mean [SD] age, 63.0 [16.1] years; 46% female) in 416 hospitals, of whom 321 093 (63%) received daily CXRs. Wide variability was seen across hospitals; hospitals performed daily CXRs on a median of 66% of patients (interquartile range, 50%-77%; full range, 12%-97%). The adjusted median OR was 2.43 (95% CI, 2.29-2.59), suggesting the same patient had 2.43-fold higher odds of receiving a daily CXR if admitted to a higher- vs lower-use hospital; the odds of receiving daily CXRs were unchanged through quarter 3 of 2011 (adjusted OR, 1.00; 95% CI, 0.99-1.01), after which there was a 3% relative reduction in the odds of daily CXR use per quarter (adjusted OR, 0.97; 95% CI, 0.96-0.98). Three-fifths of US patients receiving MV also received daily CXRs from 2008 to 2014, although use declined slowly after new guidelines were published. The hospital at which a patient received care was associated with the odds of daily CXR receipt.

Intensive care utilization following major noncardiac surgical procedures in Ontario, Canada: a population-based study.

Patients are sometimes admitted to intensive care units (ICU) after elective noncardiac surgery for advanced monitoring and treatments not available on a general postsurgical ward. However, patterns of ICU utilization are poorly understood. Our aims were to assess the incidence and determinants of ICU utilization after elective noncardiac surgical procedures. Population-based cohort study included adult patients who underwent 13 types of major elective noncardiac surgical procedures between 2006 and 2014 in Ontario, Canada. Primary outcome was early admission to ICU within 24h after surgery. A prespecified analysis using multilevel logistic regression modeling separately examined patient- and hospital-level factors associated with early ICU admission within distinct groups of surgical procedures. Early ICU admission occurred in 9.6% of the included 541,524 patients. Patients admitted early to ICU showed higher median age (68 vs. 65years), burden of prehospital comorbidities (Charlson comorbidity index score ≥ 2, 33.1 vs. 10.4%), 30-day mortality rates (2.4 vs. 0.3%), and longer median postoperative hospital stays (6 vs. 4days) than patients admitted to a ward. There was wide variation in proportions of patients admitted early to ICU across different surgery types (0.9% for hysterectomy to 90.8% for open abdominal aortic aneurysm repair) with generally low 30-day mortality across procedures (0.1-2.8%). Within individual procedures, there was wide interhospital variation in the range of early ICU admission rates (hysterectomy 0.07-14.4%, lower gastrointestinal resection 1.3-95%, endovascular aortic aneurysm 1.3-95.2%). The individual hospital where surgery was performed accounted for a large proportion of the variation in early ICU admission rates, with the median odds ratio ranging from 2.3 for hysterectomy to 21.5 for endovascular aortic aneurysm. There is a wide variation in early ICU admission across and within surgical procedures. The individual hospital accounts for a large proportion of this variation. Further research is required to identify the basis for this variation and to develop better methods for allocating ICU resources for postoperative management of surgical patients.