OBJECTIVE: To measure the influence of varying mortality time frames on performance rankings among regional neonatal intensive care units (NICUs) in a large state. STUDY DESIGN: We performed a cross-sectional data analysis of very low birth weight infants receiving care at 24 level 3 NICUs. We tested the effect of 4 definitions of mortality: (1) death between admission and end of birth hospitalization or up to 366 days; (2) death between 12 hours of age and the end of birth hospitalization or up to 366 days; (3) death between admission and 28 days; and (4) death between 12 hours of age and 28 days. NICUs were ranked by quantifying their deviation from risk-adjusted expected mortality and dividing them into 3 tiers: top 6, bottom 6, and in between. RESULTS: There was wide interinstitutional variation in risk-adjusted mortality for each definition (observed minus expected z-score range, -6.08 to 3.75). However, mortality-based NICU rankings and classification into performance tiers were very similar for all institutions in each of our time frames. Among all 4 definitions, NICU rank correlations were high (>0.91). Few NICUs changed relative to a neighboring tier with changes in definitions, and none changed by more than one tier. CONCLUSION: The time frame used to ascertain mortality had little effect on comparative NICU performance.
OBJECTIVE: To measure the influence of varying mortality time frames on performance rankings among regional neonatal intensive care units (NICUs) in a large state. STUDY DESIGN: We performed a cross-sectional data analysis of very low birth weightinfants receiving care at 24 level 3 NICUs. We tested the effect of 4 definitions of mortality: (1) death between admission and end of birth hospitalization or up to 366 days; (2) death between 12 hours of age and the end of birth hospitalization or up to 366 days; (3) death between admission and 28 days; and (4) death between 12 hours of age and 28 days. NICUs were ranked by quantifying their deviation from risk-adjusted expected mortality and dividing them into 3 tiers: top 6, bottom 6, and in between. RESULTS: There was wide interinstitutional variation in risk-adjusted mortality for each definition (observed minus expected z-score range, -6.08 to 3.75). However, mortality-based NICU rankings and classification into performance tiers were very similar for all institutions in each of our time frames. Among all 4 definitions, NICU rank correlations were high (>0.91). Few NICUs changed relative to a neighboring tier with changes in definitions, and none changed by more than one tier. CONCLUSION: The time frame used to ascertain mortality had little effect on comparative NICU performance.
Authors: Jochen Profit; Jeffrey B Gould; Mihoko Bennett; Benjamin A Goldstein; David Draper; Ciaran S Phibbs; Henry C Lee Journal: Pediatrics Date: 2016-02-09 Impact factor: 7.124
Authors: Jochen Profit; Marc A Kowalkowski; John A F Zupancic; Kenneth Pietz; Peter Richardson; David Draper; Sylvia J Hysong; Eric J Thomas; Laura A Petersen; Jeffrey B Gould Journal: Pediatrics Date: 2014-06-02 Impact factor: 7.124
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