OBJECTIVES: To evaluate ROP screening rates in a population-based cohort; and to identify characteristics of patients that were missed. STUDY DESIGN: We used the California Perinatal Quality Care Collaborative data from 2005-2007 for a cross-sectional study. Using eligibility criteria, screening rates were calculated for each hospital. Multivariable regression was used to assess associations between patient clinical and sociodemographic factors and the odds of missing screening. RESULTS: Overall rates of missed ROP screening decreased from 18.6% in 2005 to 12.8% in 2007. Higher gestational age (OR = 1.25 for increase of 1 week, 95% CI, 1.21-1.29), higher birth weight (OR = 1.13; 95% CI, 1.10-1.15), and singleton birth (OR = 1.2; 95% CI, 1.07-1.34) were associated with higher probability of missing screening. Level II neonatal intensive care units and neonatal intensive care units with lower volume were more likely to miss screenings. CONCLUSION: Although ROP screening rates improved over time, larger and older infants are at risk for not receiving screening. Furthermore, large variations in screening rates exist among hospitals in California. Identification of gaps in quality of care creates an opportunity to improve ROP screening rates and prevent impaired vision in this vulnerable population.
OBJECTIVES: To evaluate ROP screening rates in a population-based cohort; and to identify characteristics of patients that were missed. STUDY DESIGN: We used the California Perinatal Quality Care Collaborative data from 2005-2007 for a cross-sectional study. Using eligibility criteria, screening rates were calculated for each hospital. Multivariable regression was used to assess associations between patient clinical and sociodemographic factors and the odds of missing screening. RESULTS: Overall rates of missed ROP screening decreased from 18.6% in 2005 to 12.8% in 2007. Higher gestational age (OR = 1.25 for increase of 1 week, 95% CI, 1.21-1.29), higher birth weight (OR = 1.13; 95% CI, 1.10-1.15), and singleton birth (OR = 1.2; 95% CI, 1.07-1.34) were associated with higher probability of missing screening. Level II neonatal intensive care units and neonatal intensive care units with lower volume were more likely to miss screenings. CONCLUSION: Although ROP screening rates improved over time, larger and older infants are at risk for not receiving screening. Furthermore, large variations in screening rates exist among hospitals in California. Identification of gaps in quality of care creates an opportunity to improve ROP screening rates and prevent impaired vision in this vulnerable population.
Authors: S G Swisher; L Deford; K W Merriman; G L Walsh; R Smythe; A Vaporicyan; J A Ajani; T Brown; R Komaki; J A Roth; J B Putnam Journal: J Thorac Cardiovasc Surg Date: 2000-06 Impact factor: 5.209
Authors: John D Birkmeyer; Andrea E Siewers; Emily V A Finlayson; Therese A Stukel; F Lee Lucas; Ida Batista; H Gilbert Welch; David E Wennberg Journal: N Engl J Med Date: 2002-04-11 Impact factor: 91.245
Authors: Judith H Chung; Ciaran S Phibbs; W John Boscardin; Gerald F Kominski; Alexander N Ortega; Jack Needleman Journal: Med Care Date: 2010-07 Impact factor: 2.983
Authors: Gil Binenbaum; Gui-shuang Ying; Graham E Quinn; Stephan Dreiseitl; Karen Karp; Robin S Roberts; Haresh Kirpalani Journal: Pediatrics Date: 2011-02-14 Impact factor: 7.124
Authors: Anil K V Aralikatti; Arijit Mitra; Alastair K O Denniston; M Sayeed Haque; Andrew K Ewer; Lucilla Butler Journal: Arch Dis Child Fetal Neonatal Ed Date: 2009-11-29 Impact factor: 5.747