title: The care of preterm infants with birth weight below 1250 g: risk-adjusted quality benchmarking as part of validating a caseload-based management system.
abstract: BACKGROUND
  In Germany, controversy currently surrounds the contention that the quality of care for preterm infants weighing less than 1250 g is best assured by requiring that centers treat a minimum of 30 such cases per year.
  
  
  METHODS
  A risk-adjusted model was developed on the basis of neonatal data from 7405 preterm infants treated in German centers, and the effect of caseload on risk-adjusted mortality was analyzed. In addition, the discriminative ability of the minimal caseload requirement for quality assessment was studied. The authors designate the quality of care in a particular center as above average if the observed mortality is lower than would have been expected from the risk profile of the preterm infants treated there.
  
  
  RESULTS
  Risk-adjusted mortality was found to be significantly higher in smaller centers (those with fewer than 30 cases per year) than in larger ones (odds ratio, 1.34). Even among centers whose caseload exceeded the minimum requirement, there was still marked variability in risk-adjusted mortality (range: 3.5% to 28.6%). Of all the preterm infants treated in larger centers, 56% were treated in centers with above-average quality of care. 44% of the centers with above-average quality of care had caseloads in the range of 14 to 29 cases per year.
  
  
  CONCLUSIONS
  Because of the marked variability in risk-adjusted mortality, even among larger centers, a caseload of 30 or more cases per year is not a suitable indicator of the quality of care. The neonatal data of external quality assurance should be used to develop an instrument for quality-based coordination of care that takes not just morbidity and mortality, but also the treating centers' competence profiles into account.
authors.affiliation: BQS Institut für Qualität & Patientensicherheit, Düsseldorf, Germany. m.kutschmann@bqs-institut.de
authors.forename: Marcus
authors.initials: M
authors.lastname: Kutschmann
authors.forename: Sven
authors.initials: S
authors.lastname: Bungard
authors.forename: Joachim
authors.initials: J
authors.lastname: Kötting
authors.forename: Andrea
authors.initials: A
authors.lastname: Trümner
authors.forename: Christoph
authors.initials: C
authors.lastname: Fusch
authors.forename: Christof
authors.initials: C
authors.lastname: Veit
mesh_terms: D019985:Benchmarking / Q000379:methods; D019090:Case Management / Q000592:standards* / Q000706:statistics & numerical data*; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D007226:Infant Mortality; D007231:Infant, Newborn; D007235:Infant, Premature, Diseases / Q000401:mortality*; D019102:Infant, Very Low Birth Weight; D015931:Intensive Care, Neonatal / Q000592:standards* / Q000706:statistics & numerical data*; D008297:Male; D016016:Proportional Hazards Models; D011785:Quality Assurance, Health Care / Q000592:standards / Q000706:statistics & numerical data; D018570:Risk Assessment; D016019:Survival Analysis; D015996:Survival Rate