Jochen Profit1, Jeffrey B Gould2, Mihoko Bennett2, Benjamin A Goldstein3, David Draper4, Ciaran S Phibbs5, Henry C Lee2. 1. Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine and Lucile Packard Children's Hospital, Palo Alto, California; California Perinatal Quality Care Collaborative, Palo Alto, California; profit@stanford.edu. 2. Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine and Lucile Packard Children's Hospital, Palo Alto, California; California Perinatal Quality Care Collaborative, Palo Alto, California; 3. Department of Biostatistics & Bioinformatics, Duke University, Durham, North Carolina; 4. Department of Applied Mathematics and Statistics, Baskin School of Engineering, University of California, Santa Cruz, California; eBay Research Laboratories, San Jose, California; and. 5. Perinatal Epidemiology and Health Outcomes Research Unit, Division of Neonatology, Department of Pediatrics, Stanford University School of Medicine and Lucile Packard Children's Hospital, Palo Alto, California; Veteran's Affairs Palo Alto Health Care System, Palo Alto, California.
Abstract
BACKGROUND: Regionalized care delivery purportedly optimizes care to vulnerable very low birth weight (VLBW; <1500 g) infants. However, a comprehensive assessment of quality of care delivery across different levels of NICUs has not been done. METHODS: We conducted a cross-sectional analysis of 21,051 VLBW infants in 134 California NICUs. NICUs designated their level of care according to 2012 American Academy of Pediatrics guidelines. We assessed quality of care delivery via the Baby-MONITOR, a composite indicator, which combines 9 risk-adjusted measures of quality. Baby-MONITOR scores are measured as observed minus expected performance, expressed in standard units with a mean of 0 and an SD of 1. RESULTS: Wide variation in Baby-MONITOR scores exists across California (mean [SD] 0.18 (1.14), range -2.26 to 3.39). However, level of care was not associated with overall quality scores. Subcomponent analysis revealed trends for higher performance of Level IV NICUs on several process measures, including antenatal steroids and any human milk feeding at discharge, but lower scores for several outcomes including any health care associated infection, pneumothorax, and growth velocity. No other health system or organizational factors including hospital ownership, neonatologist coverage, urban or rural location, and hospital teaching status, were significantly associated with Baby-MONITOR scores. CONCLUSIONS: The comprehensive assessment of the effect of level of care on quality reveals differential opportunities for improvement and allows monitoring of efforts to ensure that fragile VLBW infants receive care in appropriate facilities.
BACKGROUND: Regionalized care delivery purportedly optimizes care to vulnerable very low birth weight (VLBW; <1500 g) infants. However, a comprehensive assessment of quality of care delivery across different levels of NICUs has not been done. METHODS: We conducted a cross-sectional analysis of 21,051 VLBW infants in 134 California NICUs. NICUs designated their level of care according to 2012 American Academy of Pediatrics guidelines. We assessed quality of care delivery via the Baby-MONITOR, a composite indicator, which combines 9 risk-adjusted measures of quality. Baby-MONITOR scores are measured as observed minus expected performance, expressed in standard units with a mean of 0 and an SD of 1. RESULTS: Wide variation in Baby-MONITOR scores exists across California (mean [SD] 0.18 (1.14), range -2.26 to 3.39). However, level of care was not associated with overall quality scores. Subcomponent analysis revealed trends for higher performance of Level IV NICUs on several process measures, including antenatal steroids and any human milk feeding at discharge, but lower scores for several outcomes including any health care associated infection, pneumothorax, and growth velocity. No other health system or organizational factors including hospital ownership, neonatologist coverage, urban or rural location, and hospital teaching status, were significantly associated with Baby-MONITOR scores. CONCLUSIONS: The comprehensive assessment of the effect of level of care on quality reveals differential opportunities for improvement and allows monitoring of efforts to ensure that fragile VLBW infants receive care in appropriate facilities.
Authors: J Profit; J B Gould; J A F Zupancic; A R Stark; K M Wall; M A Kowalkowski; M Mei; K Pietz; E J Thomas; L A Petersen Journal: J Perinatol Date: 2011-02-24 Impact factor: 2.521
Authors: Ciaran S Phibbs; Laurence C Baker; Aaron B Caughey; Beate Danielsen; Susan K Schmitt; Roderic H Phibbs Journal: N Engl J Med Date: 2007-05-24 Impact factor: 91.245
Authors: Jochen Profit; Jeffrey B Gould; David Draper; John A F Zupancic; Marc A Kowalkowski; LeChauncy Woodard; Kenneth Pietz; Laura A Petersen Journal: J Pediatr Date: 2012-07-31 Impact factor: 4.406
Authors: Charlan D Kroelinger; Ekwutosi M Okoroh; David A Goodman; Sarah M Lasswell; Wanda D Barfield Journal: J Perinatol Date: 2017-12-05 Impact factor: 2.521
Authors: Jochen Profit; Jeffrey B Gould; Mihoko Bennett; Benjamin A Goldstein; David Draper; Ciaran S Phibbs; Henry C Lee Journal: Pediatrics Date: 2017-09 Impact factor: 7.124
Authors: Jessica Liu; Charlotte Sakarovitch; Krista Sigurdson; Henry C Lee; Jochen Profit Journal: Am J Perinatol Date: 2019-04-30 Impact factor: 1.862
Authors: Daniel S Tawfik; Ciaran S Phibbs; J Bryan Sexton; Peiyi Kan; Paul J Sharek; Courtney C Nisbet; Joseph Rigdon; Mickey Trockel; Jochen Profit Journal: Pediatrics Date: 2017-04-18 Impact factor: 7.124
Authors: Daniel S Tawfik; Jochen Profit; Eileen T Lake; Jessica B Liu; Lee M Sanders; Ciaran S Phibbs Journal: Health Serv Res Date: 2019-12-23 Impact factor: 3.402
Authors: Erika M Edwards; Lucy T Greenberg; Jochen Profit; David Draper; Daniel Helkey; Jeffrey D Horbar Journal: Pediatrics Date: 2021-07-22 Impact factor: 9.703