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JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
VALIDATION STUDY
Estimating the quality of neonatal transport in California.
OBJECTIVE: To develop a strategy to assess the quality of neonatal transport based on change in neonatal condition during transport.
STUDY DESIGN: The Canadian Transport Risk Index of Physiologic Stability (TRIPS) score was optimized for a California (Ca) population using data collected on 21 279 acute neonatal transports, 2007 to 2009, using models predicting (2/3) and validating (1/3) mortality within 7 days of transport. Quality Change Point 10th percentile (QCP10), a benchmark of the greatest deterioration seen in 10% of the transports by top-performing teams, was established.
RESULT: Compared with perinatal variables (0.79), the Ca-TRIPS had a validation receiver operator characteristic area for prediction of death of 0.88 in all infants and 0.86 in infants transported after day 7. The risk of death increased 2.4-fold in infants whose deterioration exceeded the QCP10.
CONCLUSION: We present a practical, benchmarked, risk-adjusted, estimate of the quality of neonatal transport.
STUDY DESIGN: The Canadian Transport Risk Index of Physiologic Stability (TRIPS) score was optimized for a California (Ca) population using data collected on 21 279 acute neonatal transports, 2007 to 2009, using models predicting (2/3) and validating (1/3) mortality within 7 days of transport. Quality Change Point 10th percentile (QCP10), a benchmark of the greatest deterioration seen in 10% of the transports by top-performing teams, was established.
RESULT: Compared with perinatal variables (0.79), the Ca-TRIPS had a validation receiver operator characteristic area for prediction of death of 0.88 in all infants and 0.86 in infants transported after day 7. The risk of death increased 2.4-fold in infants whose deterioration exceeded the QCP10.
CONCLUSION: We present a practical, benchmarked, risk-adjusted, estimate of the quality of neonatal transport.
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