Devin M. Parker

Effectiveness of Quality Improvement in Hospitalization for Bronchiolitis: A Systematic Review

BACKGROUND: Bronchiolitis causes nearly 20% of all acute care hospitalizations for young children in the United States. Unnecessary testing and medication for infants with bronchiolitis contribute to cost without improving outcomes. OBJECTIVES: The goal of this study was to systematically review the quality improvement (QI) literature on inpatient bronchiolitis and to propose benchmarks for reducing unnecessary care. METHODS: Assisted by a medical librarian, we searched Medline, Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Library. Studies describing any active QI intervention versus usual care in hospitalized children <2 years of age were included. Data were extracted and confirmed by multiple investigators and pooled by using a random effects model. Benchmarks were calculated by using achievable benchmarks of care methods. RESULTS: Fourteen studies involving >12 000 infants were reviewed. QI interventions resulted in 16 fewer patients exposed to repeated doses of bronchodilators per 100 hospitalized (7 studies) (risk difference: 0.16 [95% confidence interval: 0.11–0.21]) and resulted in 5.3 fewer doses of bronchodilator given per patient (95% confidence interval: 2.1–8.4). Interventions resulted in fewer hospitalized children exposed to steroids (5 per 100), chest radiography (9 per 100), and antibiotics (4 per 100). No significant harms were reported. Benchmarks derived from the reported data are: repeated bronchodilator use, 16%; steroid use, 1%; chest radiography use, 42%; and antibiotic use, 17%. The study’s heterogeneity limited the ability to classify specific characteristics of effective QI interventions. CONCLUSIONS: QI strategies have been demonstrated to achieve lower rates of unnecessary care in children hospitalized with viral bronchiolitis than are the norm.

Do minority and poor neighborhoods have higher access to fast-food restaurants in the United States?

BACKGROUND Disproportionate access to unhealthy foods in poor or minority neighborhoods may be a primary determinant of obesity disparities. We investigated whether fast-food access varies by Census block group (CBG) percent black and poverty. METHODS We measured the average driving distance from each CBG population-weighted centroid to the five closest top ten fast-food chains and CBG percent black and percent below poverty. RESULTS Among 209,091 CBGs analyzed (95.1% of all US CBGs), CBG percent black was positively associated with fast-food access controlling for population density and percent poverty (average distance to fast-food was 3.56 miles closer (95% CI: -3.64, -3.48) in CBGs with the highest versus lowest quartile of percentage of black residents). Poverty was not independently associated with fast-food access. The relationship between fast-food access and race was stronger in CBGs with higher levels of poverty (p for interaction <0.0001). CONCLUSIONS Predominantly black neighborhoods had higher access to fast-food while poverty was not an independent predictor of fast-food access.

Site of Treatment for Non-Urgent Conditions by Medicare Beneficiaries: Is There a Role for Urgent Care Centers?

BACKGROUND There is limited information on where and how often Medicare beneficiaries seek care for non-urgent conditions when a physician office visit is not available. Emergency departments are often an alternative site of care, and urgent care centers have now also emerged to fill this need. The purpose of the study was to characterize the site of care for Medicare beneficiaries with non-urgent conditions; the relationship between physician office, urgent care center, and emergency department utilization; and specifically the role of urgent care centers. METHODS The study is a retrospective, cross-sectional study of fee-for-service Medicare beneficiaries for fiscal year 2012. The main outcome was rate and geographic variation of urgent care center, emergency department, or physician office utilization. RESULTS Care for non-urgent conditions most commonly occurred in physician offices (65.0 per 100 beneficiaries). In contrast, urgent care centers (6.0 per 100 beneficiaries) were a more common site of care than emergency departments (1.0 per 100 beneficiaries). Overall, 83% of non-urgent visits were physician offices, 14% urgent care centers, and 3% emergency departments. There was regional variation in urgent care center, emergency department, and physician office utilization for non-urgent conditions. Areas of higher emergency department utilization correspond to areas of lower urgent care center and physician office utilization, whereas areas of higher urgent care center utilization had lower emergency department utilization. CONCLUSIONS Urgent care centers are an important site of care for Medicare beneficiaries for non-urgent conditions. There is regional variation in the use of urgent care centers, emergency departments, and physician offices, with areas of low urgent care center utilization having higher emergency department utilization. The utilization of urgent care centers for treatment for non-urgent conditions may decrease emergency department utilization.

Preoperative serum ST2 level predicts acute kidney injury after adult cardiac surgery

Objective The purpose of this study was to evaluate the relationship between preoperative levels of serum soluble ST2 (ST2) and acute kidney injury (AKI) after cardiac surgery. Previous research has shown that biomarkers facilitate the prediction of AKI and other complications after cardiac surgery. Methods Preoperative ST2 proteins were measured in 1498 patients undergoing isolated coronary artery bypass graft surgery at 8 hospitals participating in the Northern New England Biomarker Study from 2004 to 2007. AKI severity was defined using the Acute Kidney Injury Network (AKIN) definition. Preoperative ST2 levels were measured using multiplex assays. Ordered logistic regression was used to examine the relationship between ST2 levels and levels of AKI severity. Results Participants in this study showed a significant association between elevated preoperative ST2 levels and acute kidney risk. Before adjustment, the odds of patients developing AKIN stage 2 or 3, compared with AKIN stage 1, are 2.43 times higher (95% confidence interval, 1.86‐3.16; P < .001) for patients in the highest tercile of preoperative ST2. After adjustment, patients in the highest tercile of preoperative ST2 had significantly greater odds of developing AKIN stage 2 or 3 AKI (odds ratio, 1.99; 95% confidence interval, 1.50‐2.65; P < .001) compared with patients with AKIN stage 1. Conclusions Preoperative ST2 levels are associated with postoperative AKI risk and can be used to identify patients at higher risk of developing AKI after cardiac surgery.

Excess Readmission vs Excess Penalties: Maximum Readmission Penalties as a Function of Socioeconomic and Geography

BACKGROUND: The Hospital Readmission Reduction Program (HRRP) penalizes hospitals with “excess” readmissions up to 3% of Medicare reimbursement. Approximately 75% of eligible hospitals received penalties, worth an estimated

Variation in Utilization and Need for Tympanostomy Tubes across England and New England

428 million, in fiscal year 2015. OBJECTIVE: To identify demographic and socioeconomic disparities between matched and localized maximum‐penalty and no‐penalty hospitals. DESIGN: A case‐control study in which cases included were hospitals to receive the maximum 3% penalty under the HRRP during the 2015 fiscal year. Controls were drawn from no‐penalty hospitals and matched to cases by hospital characteristics (primary analysis) or geographic proximity (secondary analysis). SETTING: A selectiion of 3383 US hospitals eligible for HRRP. PARTICIPANTS: Thirty‐nine case and 39 control hospitals from the HRRP cohort. MEASUREMENTS: Socioeconomic status variables were collected by the American Community Survey. Hospital and health system characteristics were drawn from Centers for Medicare and Medicaid Services, American Hospital Association, and Dartmouth Atlas of Health Care. The statistical analysis was conducted using Student t tests. RESULTS: Thirty‐nine hospitals received a maximum penalty. Relative to controls, maximum‐penalty hospitals in counties with lower SES profiles are defined by increased poverty rates (19.1% vs 15.5%, P = 0.015) and lower rates of high school graduation (82.2% vs 87.5%, P = 0.001). County level age, sex, and ethnicity distributions were similar between cohorts. CONCLUSION: Cases were more likely than controls to be in counties with low socioeconomic status; highlighting potential unintended consequences of national benchmarks for phenomena underpinned by environmental factors; specifically, whether maximum penalties under the HRRP are a consequence of underperforming hospitals or a manifestation of underserved communities.

Timing of bariatric surgery for severely obese adolescents: a Markov decision-analysis

OBJECTIVES To compare rates of typmanostomy tube insertions for otitis media with effusion with estimates of need in 2 countries. STUDY DESIGN This cross-sectional analysis used all-payer claims to calculate rates of tympanostomy tube insertions for insured children ages 2-8 years (2007-2010) across pediatric surgical areas (PSA) for Northern New England (NNE; Maine, Vermont, and New Hampshire) and the English National Health Service Primary Care Trusts (PCT). Rates were compared with expected rates estimated using a Monte Carlo simulation model that integrates clinical guidelines and published probabilities of the incidence and course of otitis media with effusion. RESULTS Observed rates of tympanostomy tube placement varied >30-fold across English PCT (N = 150) and >3-fold across NNE PSA (N = 30). At a 25 dB hearing threshold, the overall difference in observed to expected tympanostomy tubes provided was -3.41 per 1000 child-years in England and -0.01 per 1000 child-years in NNE. Observed incidence of insertion was less than expected in 143 of 151 PCT, and was higher than expected in one-half of the PSA. Using a 20 dB hearing threshold, there were fewer tube insertions than expected in all but 2 England and 7 NNE areas. There was an inverse relationship between estimated need and observed tube insertion rates. CONCLUSIONS Regional variations in observed tympanostomy tube insertion rates are unlikely to be due to differences in need and suggest overall underuse in England and both overuse and underuse in NNE.

Utility of Biomarkers to Improve Prediction of Readmission or Mortality After Cardiac Surgery

PURPOSE Although controversial, bariatric surgery is increasingly being performed in adolescents. We developed a model to simulate the effect of timing of gastric bypass in obese adolescents on quantity and quality of life. METHODS A Markov state-transition model was constructed comparing two treatment strategies: gastric bypass surgery at age 16 versus delayed surgery in adulthood. The model simulated a hypothetical cohort of adolescents with body mass index of 45kg/m(2). Model inputs were derived from current literature. The main outcome measure was quality and quantity of life, measured using quality-adjusted life-years (QALYs). RESULTS For females, early gastric bypass surgery was favored by 2.02 QALYs compared to delaying surgery until age 35 (48.91 vs. 46.89 QALYs). The benefit was even greater for males, where early surgery was favored by 2.9 QALYs (48.30 vs. 45.40 QALYs). The absolute benefit of surgery at age 16 increased; the later surgery was delayed into adulthood. Sensitivity analyses demonstrated that adult surgery was favored only when the values for adverse events were unrealistically high. CONCLUSIONS In our model, early gastric bypass in obese adolescents improved both quality and quantity of life. These findings are useful for surgeons and pediatricians when counseling adolescents considering weight loss surgery.

The Association Between Novel Biomarkers and 1-Year Readmission or Mortality After Cardiac Surgery

BACKGROUND Hospital readmission within 30 days is associated with higher risks of complications, death, and increased costs. Accurate statistical models to stratify the risk of 30-day readmission or death after cardiac surgery could help clinical teams focus care on those patients at highest risk. We hypothesized biomarkers could improve prediction for readmission or mortality. METHODS Levels of ST2, galectin-3, N-terminal pro-brain natriuretic peptide, cystatin C, interleukin-6, and interleukin-10 were measured in samples from 1,046 patients discharged after isolated coronary artery bypass graft surgery from eight medical centers, with external validation in 1,194 patients from five medical centers. Thirty-day readmission or mortality were ascertained using Medicare, state all-payer claims, and the National Death Index. We tested and externally validated the clinical models and the biomarker panels using area under the receiver-operating characteristics (AUROC) statistics. RESULTS There were 112 patients (10.7%) who were readmitted or died within 30 days after coronary artery bypass graft surgery. The Society of Thoracic Surgeons augmented clinical model resulted in an AUROC of 0.66 (95% confidence interval: 0.61 to 0.71). The biomarker panel with The Society of Thoracic Surgeons augmented clinical model resulted in an AUROC of 0.74 (bootstrapped 95% confidence interval: 0.69 to 0.79, p < 0.0001). External validation of the model showed limited improvement with the addition of a biomarker panel, with an AUROC of 0.51 (95% confidence interval: 0.45 to 0.56). CONCLUSIONS Although biomarkers significantly improved prediction of 30-day readmission or mortality in our derivation cohort, the external validation of the biomarker panel was poor. Biomarkers perform poorly, much like other efforts to improve prediction of readmission, suggesting there are many other factors yet to be explored to improve prediction of readmission.