Physician trajectories of abandoning long‐course breast radiotherapy and their cost impact

ObjectiveTo examine variation in trajectories of abandoning conventionally fractionated whole‐breast irradiation (CF‐WBI) for adjuvant breast radiotherapy among physician peer groups and the associated cost implications.Data SourcesMedicare claims data were obtained from the Chronic Conditions Data Warehouse for fee‐for‐service beneficiaries with breast cancer in 2011‐2014.Study DesignWe used social network methods to identify peer groups of physicians that shared patients. For each physician peer group in each time period (T1 = 2011‐2012 and T2 = 2013‐2014), we calculated a risk‐adjusted rate of CF‐WBI use among eligible women, after adjusting for patient clinical characteristics. We applied a latent class growth analysis to these risk‐adjusted rates to identify distinct trajectories of CF‐WBI use among physician peer groups. We further estimated potential savings to the Medicare program by accelerating abandonment of CF‐WBI in T2 using a simulation model.Data Collection/Extraction MethodsUse of conventionally fractionated whole‐breast irradiation was determined from Medicare claims among women ≥ 66 years of age who underwent adjuvant radiotherapy after breast conserving surgery.Principal FindingsAmong 215 physician peer groups caring for 16 988 patients, there were four distinct trajectories of abandoning CF‐WBI: (a) persistent high use (mean risk‐adjusted utilization rate: T1 = 94.3%, T2 = 90.6%); (b) decreased high use (T1 = 81.3%, T2 = 65.3%); (c) decreased medium use (T1 = 60.1%, T2 = 44.0%); and (d) decreased low use (T1 = 31.6%, T2 = 23.6%). Peer groups with a smaller proportion of patients treated at free‐standing radiation facilities and a larger proportion of physicians that were surgeons tended to follow trajectories with lower use of CF‐WBI. If all physician peer groups had practice patterns in T2 similar to those in the “decreased low use” trajectory, the Medicare program could save $83.3 million (95% confidence interval: $58.5 million‐$112.2 million).ConclusionsPhysician peer groups had distinct trajectories of abandoning CF‐WBI. Physician composition and setting of radiotherapy were associated with the different trajectories. Distinct practice patterns across the trajectories had important cost implications.     

Increased nuclear factor-kappaB and angiotensinogen gene expression in posttransplant recurrent focal segmental glomerulosclerosis

In an attempt to identify potential markers of steroid-resistance in focal segmental glomerulosclerosis (FSGS) we evaluated intra-graft gene expression of IkappaBalpha, nuclear factor-kappaB (NF-kappaB), and angiotensinogen in 60 biopsies from 27 pediatric renal transplant recipients. Intra-graft NF-kappaB expression was significantly elevated in recurrent FSGS (R-FSGS) (218.3 + 55.6 ag/fg versus NON-FSGS 121.1 + 19.9, P=0.04) but not in acute rejection. NF-kappaB:IkappaBalpha ratios were higher in cadaveric donor versus living related donor recipients (15.7 + 2.8 vs. 8.8 + 1.3, respectively, P=0.015), and in African-American versus Caucasian recipients (15.6 + 2.9 vs. 9.1 + 1.3, respectively, P=0.03). Intra-graft angiotensinogen gene expression was significantly elevated in R-FSGS (30.5 + 8.8 ag/fg R-FSGS vs. 16.0 + 4.7 NON-FSGS, P=0.009). We conclude that increased NF-kappaB and angiotensinogen gene expression are associated with R-FSGS. Increased NF-kappaB:IkappaBalpha ratios are associated with cadaveric donor recipients and African-American race.     

Association between 30-day readmission rates and health information technology capabilities in US hospitals

Health information technology (IT) is often proposed as a solution to fragmentation of care, and has been hypothesized to reduce readmission risk through better information flow. However, there are numerous distinct health IT capabilities, and it is unclear which, if any, are associated with lower readmission risk.To identify the specific health IT capabilities adopted by hospitals that are associated with hospital-level risk-standardized readmission rates (RSRRs) through path analyses using structural equation modeling.This STROBE-compliant retrospective cross-sectional study included non-federal U.S. acute care hospitals, based on their adoption of specific types of health IT capabilities self-reported in a 2013 American Hospital Association IT survey as independent variables. The outcome measure included the 2014 RSRRs reported on Hospital Compare website.A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis, and corroborated by confirmatory factor analysis. Subsequent path analysis using Structural equation modeling revealed that a one-point increase in the hospital adoption of patient engagement capability latent scores (median path coefficient ß = −0.086; 95% Confidence Interval, −0.162 to −0.008), including functionalities like direct access to the electronic health records, would generally lead to a decrease in RSRRs by 0.086%. However, computerized hospital discharge and information exchange capabilities with other inpatient and outpatient providers were not associated with readmission rates.These findings suggest that improving patient access to and use of their electronic health records may be helpful in improving hospital performance on readmission; however, computerized hospital discharge and information exchange among clinicians did not seem as beneficial – perhaps because of the quality or timeliness of information transmitted. Future research should use more recent data to study, not just adoption of health IT capabilities, but also whether their usage is associated with lower readmission risk. Understanding which capabilities impact readmission risk can help policymakers and clinical stakeholders better focus their scarce resources as they invest in health IT to improve care delivery.     

Community Factors and Hospital Readmission Rates

Objective

To examine the relationship between community factors and hospital readmission rates.

Data Sources/Study Setting

We examined all hospitals with publicly reported 30-day readmission rates for patients discharged during July 1, 2007, to June 30, 2010, with acute myocardial infarction (AMI), heart failure (HF), or pneumonia (PN). We linked these to publicly available county data from the Area Resource File, the Census, Nursing Home Compare, and the Neilsen PopFacts datasets.

Study Design

We used hierarchical linear models to assess the effect of county demographic, access to care, and nursing home quality characteristics on the pooled 30-day risk-standardized readmission rate.

Data Collection/Extraction Methods

Not applicable.

Principal Findings

The study sample included 4,073 hospitals. Fifty-eight percent of national variation in hospital readmission rates was explained by the county in which the hospital was located. In multivariable analysis, a number of county characteristics were found to be independently associated with higher readmission rates, the strongest associations being for measures of access to care. These county characteristics explained almost half of the total variation across counties.

Conclusions

Community factors, as measured by county characteristics, explain a substantial amount of variation in hospital readmission rates.     

Predictors of cardiologist care for older patients hospitalized for heart failure

Background

Studies have suggested that cardiologists may provide higher quality heart failure care than generalists. However, national rates of specialty care during hospitalization for heart failure and factors associated with care by a cardiologist are unknown.

Methods

We assessed specialty care in a sample of Medicare patients hospitalized nationwide with heart failure between 1998 and 1999 (n = 25,869). Multivariable hierarchical logistic regression models were used to identify factors independently associated with treatment by a cardiologist.

Results

One-quarter (25.5%) of patients had a cardiologist as their attending physician, 31.3% of patients received a cardiology consult, and 43.2% of patients were not treated by a cardiologist during hospitalization. Older patients (age <75 years: referent; age 75-84 years: risk ratio [RR], 0.92; 95% CI, 0.86-0.98; age ≥85 years: RR, 0.81; 95% CI, 0.74-0.88) and women (RR, 0.87; 95% CI, 0.83-0.93) were less likely to have an attending cardiologist. Patients with a history of heart failure (RR, 1.13; 95% CI, 1.06-1.20), coronary disease (RR, 1.23; 95% CI, 1.14-1.32), coronary artery bypass grafting (RR, 1.42; 95% CI, 1.32-1.42), or percutaneous transluminal coronary angioplasty (RR, 1.30; 95% CI, 1.19-1.42) were more likely to be treated by a cardiologist, whereas patients with chronic obstructive pulmonary disease (RR, 0.74; 95% CI, 0.70-0.79) and dementia (RR, 0.61; 95% CI, 0.54-0.70) were less likely to be treated by a cardiologist. Patient race was not associated with treatment by a cardiologist. The strongest predictors of attending cardiology care were hospital factors, including large volume (>300 beds; RR, 1.45; 95% CI, 1.32-1.42) and geographic location (RR, 1.00 Northeast (referent) vs RR, 0.55; 95% CI 0.46-0.65 Midwest).

Conclusions

Slightly more than half of older patients with heart failure received care from a cardiologist. Several patient characteristics, including age and sex, were associated with the use of specialty care, suggesting that factors other than clinical presentation may independently influence the use of specialty care.     

The Effect of New Duty Hours on Resident Academic Performance and Adult Resuscitation Outcomes

Background

From July 2011, the Accreditation Council for Graduate Medical Education implemented new resident duty hours throughout the US. This study aimed to determine whether changes to call schedules due to these new duty hours achieved the intended goals of excellent patient care and improved resident learning.

Methods

We conducted a retrospective cohort study at an academic hospital. For patient outcomes, we used the hospital registry for code blues and rapid responses to compare the proportion of deaths and transfers to an intensive care unit (July 2010 to June 2011; July 2011 to June 2012). For resident learning, we compared delta percentage scores for annual in-service training examinations (2009 to 2010; 2010 to 2011; 2011 to 2012).

Results

We recorded 187 code blues and 469 rapid responses during the 2-year period: 48 (7.3%) deaths, 374 (57.0%) transfers to the intensive care unit, and 234 (35.7%) stabilizations on the floor. Of all transfers to the intensive care unit, those due to a code blue decreased after implementation of the new duty hours (36% [63/174] vs 25% [49/200], P = .02; adjusted odds ratio = 0.59; 95% confidence interval, 0.37-0.92). The median (interquartile range) delta percentage scores for annual in-service training examinations decreased significantly from the first time-period (2009 to 2010: 7 [4-11]) to the third time-period (2011 to 2012: 5 [2-8], P = .02).

Conclusion

We observed a reduced proportion of transfers to the intensive care unit with a code blue after implementation of new resident duty hours. Resident academic performance experienced a small but significant decrease in in-service training examination delta percentage score. We need large, multicenter studies to corroborate these findings.     

In-utero Diagnosis of Double Encephalocele - Imaging Features and Review of Literature

Encephalocele is protrusion of brain parenchyma through a defect in the cranium. It is classified into various types based on the defect location: sincipital (fronto-ethmoidal), basal (trans-sphenoidal, spheno-ethmoidal, trans-ethmoidal, and spheno-orbital), occipital and parietal. Double encephaloceles are very rare with only a handful of cases reported in the literature and most of these cases involved either occipital or sub-occipital region. All, except one, cases of double encephaloceles were diagnosed postnatally. We present a case of double encephalocele with parietal and occipital components diagnosed in utero. To the best of our knowledge, this is the first case of double encephalocele involving the parietal and occipital skull bones diagnosed in-utero.