Rustin B. Morse
University of Texas Southwestern Medical Center
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Featured researches published by Rustin B. Morse.
JAMA | 2011
Rustin B. Morse; Matthew Hall; Evan S. Fieldston; Gerd McGwire; Melanie Anspacher; Marion R. Sills; Kristi Williams; Naomi Oyemwense; Keith J. Mann; Harold K. Simon; Samir S. Shah
CONTEXT The Childrens Asthma Care (CAC) measure set evaluates whether children admitted to hospitals with asthma receive relievers (CAC-1) and systemic corticosteroids (CAC-2) and whether they are discharged with a home management plan of care (CAC-3). It is the only Joint Commission core measure applicable to evaluate the quality of care for hospitalized children. OBJECTIVES To evaluate longitudinal trends in CAC measure compliance and to determine if an association exists between compliance and outcomes. DESIGN, SETTING, AND PATIENTS Cross-sectional study using administrative data and CAC compliance data for 30 US childrens hospitals. A total of 37,267 children admitted with asthma between January 1, 2008, and September 30, 2010, with follow-up through December 31, 2010, accounted for 45,499 hospital admissions. Hospital-level CAC measure compliance data were obtained from the National Association of Childrens Hospitals and Related Institutions. Readmission and postdischarge emergency department (ED) utilization data were obtained from the Pediatric Health Information System. MAIN OUTCOME MEASURES Childrens Asthma Care measure compliance trends; postdischarge ED utilization and asthma-related readmission rates at 7, 30, and 90 days. RESULTS The minimum quarterly CAC-1 and CAC-2 measure compliance rates reported by any hospital were 97.1% and 89.5%, respectively. Individual hospital CAC-2 compliance exceeded 95% for 97.9% of the quarters. Lack of variability in CAC-1 and CAC-2 compliance precluded examination of their association with the specified outcomes. Mean CAC-3 compliance was 40.6% (95% CI, 34.1%-47.1%) and 72.9% (95% CI, 68.8%-76.9%) for the initial and final 3 quarters of the study, respectively. The mean 7-, 30-, and 90-day postdischarge ED utilization rates were 1.5% (95% CI, 1.3%-1.6%), 4.3% (95% CI, 4.0%-4.5%), and 11.1% (95% CI, 10.5%-11.7%) and the mean quarterly 7-, 30-, and 90-day readmission rates were 1.4% (95% CI, 1.2%-1.6%), 3.1% (95% CI, 2.8%-3.3%), and 7.6% (95% CI, 7.2%-8.1%). There was no significant association between overall CAC-3 compliance (odds ratio [OR] for 5% improvement in compliance) and postdischarge ED utilization rates at 7 days (OR, 1.00; 95% CI, 0.98-1.02), 30 days (OR, 0.97; 95% CI, 0.90-1.04), and 90 days (OR, 0.96; 95% CI, 0.77-1.18). In addition, there was no significant association between overall CAC-3 compliance (OR for 5% improvement in compliance) and readmission rates at 7 days (OR, 1.00; 95% CI, 0.99-1.02), 30 days (OR, 0.99; 95% CI, 0.96-1.02), and 90 days (OR, 1.01; 95% CI, 0.90-1.12). CONCLUSION Among children admitted to pediatric hospitals for asthma, there was high hospital-level compliance with CAC-1 and CAC-2 quality measures and moderate compliance with the CAC-3 measure but no association between CAC-3 compliance and subsequent ED visits and asthma-related readmissions.
Pediatrics | 2014
Vineeta Mittal; Cindy Darnell; Brian K Walsh; Amit Mehta; Mohamed K. Badawy; Rustin B. Morse; Rodica Pop; Jerithea Tidwell; Maeve Sheehan; Sandra McDermott; Carolyn L. Cannon; Jeffrey S. Kahn
BACKGROUND: Provider-dependent practice variation in children hospitalized with bronchiolitis is not uncommon. Clinical practice guidelines (CPGs) can streamline practice and reduce utilization however, CPG implementation is complex. METHODS: A multidisciplinary team developed and implemented CPGs for management of bronchiolitis for children <2 years old. Children with comorbidities, ICU admissions, and outside hospital transfers were excluded. Implementation involved teamwork and collaboration, provider education, online access to CPGs, order sets, data sharing, and monthly team meetings. Resource utilization was defined as use of chest x-rays (CXRs), antibiotics, steroids, and more than 2 doses of inhaled bronchodilator use. Outcome metrics included length of stay (LOS) and readmission rate. Bronchiolitis season was defined as September to April. Data were collected for 2 seasons post implementation. RESULTS: The number CPG-eligible patients in the pre- and 2 postimplementation periods were similar (1244, preimplementation; 1159, postimplementation season 1; 1283 postimplementation season 2). CXRs decreased from 59.7% to 45.1% (P < .0001) in season 1 to 39% (P < .0001) in season 2. Bronchodilator use decreased from 27% to 20% (P < .01) in season 1 to 14% (P < .002) in season 2. Steroid use significantly reduced from 19% to 11% (P < .01). Antibiotic use did not change significantly (P = .16). LOS decreased from 2.3 to 1.8 days (P < .0001) in season 1 and 1.9 days (P < .05) in season 2. All-cause 7-day readmission rate did not change (P = .45). CONCLUSIONS: Bronchiolitis CPG implementation resulted in reduced use of CXRs, bronchodilators, steroids, and LOS without affecting 7-day all-cause readmissions.
Pediatrics | 2014
Kavita Parikh; Matthew Hall; Vineeta Mittal; Amanda Montalbano; Grant M. Mussman; Rustin B. Morse; Paul D. Hain; Karen M. Wilson; Samir S. Shah
BACKGROUND AND OBJECTIVES: Asthma, pneumonia, and bronchiolitis are the leading causes of admission for pediatric patients; however, the lack of accepted benchmarks is a barrier to quality improvement efforts. Using data from children hospitalized with asthma, bronchiolitis, or pneumonia, the goals of this study were to: (1) measure the 2012 performance of freestanding children’s hospitals using clinical quality indicators; and (2) construct achievable benchmarks of care (ABCs) for the clinical quality indicators. METHODS: This study was a cross-sectional trial using the Pediatric Health Information System database. Patient inclusions varied according to diagnosis: asthma (International Classification of Diseases, Ninth Revision, Clinical Modification [ICD-9-CM] codes 493.0–493.92) from 2 to 18 years of age; bronchiolitis (ICD-9-CM codes 466.11 and 466.19) from 2 months to 2 years of age; and pneumonia (ICD-9-CM codes 480–486, 487.0) from 2 months to 18 years of age. ABC methods use the best-performing hospitals that comprise at least 10% of the total population to compute the benchmark. RESULTS: Encounters from 42 hospitals included: asthma, 22 186; bronchiolitis, 14 882; and pneumonia, 12 983. Asthma ABCs include: chest radiograph utilization, 24.5%; antibiotic administration, 6.6%; and ipratropium bromide use >2 days, 0%. Bronchiolitis ABCs include: chest radiograph utilization, 32.4%; viral testing, 0.6%; antibiotic administration, 18.5%; bronchodilator use >2 days, 11.4%; and steroid use, 6.4%. Pneumonia ABCs include: complete blood cell count utilization, 28.8%; viral testing, 1.5%; initial narrow-spectrum antibiotic use, 60.7%; erythrocyte sedimentation rate, 3.5%; and C-reactive protein, 0.1%. CONCLUSIONS: We report achievable benchmarks for inpatient care for asthma, bronchiolitis, and pneumonia. The establishment of national benchmarks will drive improvement at individual hospitals.
Pediatrics | 2013
Evan S. Fieldston; Isabella Zaniletti; Matthew Hall; Jeffrey D. Colvin; Laura Gottlieb; Michelle L. Macy; Elizabeth R. Alpern; Rustin B. Morse; Paul D. Hain; Marion R. Sills; Gary Frank; Samir S. Shah
BACKGROUND AND OBJECTIVE: Child health is influenced by biomedical and socioeconomic factors. Few studies have explored the relationship between community-level income and inpatient resource utilization for children. Our objective was to analyze inpatient costs for children hospitalized with common conditions in relation to zip code-based median annual household income (HHI). METHODS: Retrospective national cohort from 32 freestanding children’s hospitals for asthma, diabetes, bronchiolitis and respiratory syncytial virus, pneumonia, and kidney and urinary tract infections. Standardized cost of care for individual hospitalizations and across hospitalizations for the same patient and condition were modeled by using mixed-effects methods, adjusting for severity of illness, age, gender, and race. Main exposure was median annual HHI. Posthoc tests compared adjusted standardized costs for patients from the lowest and highest income groups. RESULTS: From 116 636 hospitalizations, 4 of 5 conditions had differences at the hospitalization and at the patient level, with lowest-income groups having higher costs. The individual hospitalization level cost differences ranged from
The Journal of Pediatrics | 2013
Rustin B. Morse; Matthew Hall; Evan S. Fieldston; Denise M. Goodman; Jay G. Berry; Marion R. Sills; Rajendu Srivastava; Gary Frank; Paul D. Hain; Samir S. Shah
187 (4.1%) to
Pediatrics | 2015
Michelle W. Parker; Samir S. Shah; Matthew Hall; Evan S. Fieldston; Brian D. Coley; Rustin B. Morse
404 (6.4%). Patient-level cost differences ranged from
The Journal of Pediatrics | 2014
Vineeta Mittal; Matthew Hall; Rustin B. Morse; Karen M. Wilson; Grant M. Mussman; Paul D. Hain; Amanda Montalbano; Kavita Parikh; Sanjay Mahant; Samir S. Shah
310 to
Pediatrics | 2015
Sanjay Mahant; Matthew Hall; Stacey L. Ishman; Rustin B. Morse; Vineeta Mittal; Grant M. Mussman; Jessica Gold; Amanda Montalbano; Rajendu Srivastava; Karen M. Wilson; Samir S. Shah
1087 or 6.5% to 15% higher for the lowest-income patients. Higher costs were typically not for laboratory, imaging, or pharmacy costs. In total, patients from lowest income zip codes had
Pediatrics | 2017
Katherine A. Auger; Ronald J. Teufel; J. Mitchell Harris; Mark A. Del Beccaro; Mark I. Neuman; Javier Tejedor-Sojo; Rishi Agrawal; Rustin B. Morse; Pirooz Eghtesady; Arold K. Simon; Richard E. McClead; Evan S. Fieldston; Samir S. Shah
8.4 million more in hospitalization-level costs and
Journal for Healthcare Quality | 2012
Rustin B. Morse; Murray M. Pollack
13.6 million more in patient-level costs. CONCLUSIONS: Lower community-level HHI is associated with higher inpatient costs of care for 4 of 5 common pediatric conditions. These findings highlight the need to consider socioeconomic status in health care system design, delivery, and reimbursement calculations.