OBJECTIVES: With >6 million hospital stays, costing almost $50 billion annually, hospitalized children represent an important population for which most inpatient quality indicators are not applicable. Our aim was to develop indicators using inpatient administrative data to assess aspects of the quality of inpatient pediatric care and access to quality outpatient care.

METHODS: We adapted the Agency for Healthcare Research and Quality quality indicators, a publicly available set of measurement tools refined previously by our team, for a pediatric population. We systematically reviewed the literature for evidence regarding coding and construct validity specific to children. We then convened 4 expert panels to review and discuss the evidence and asked them to rate each indicator through a 2-stage modified Delphi process. From the 2000 and 2003 Agency for Healthcare Research and Quality Healthcare Cost and Utilization Project Kids' Inpatient Database, we generated national estimates for provider level indicators and for area level indicators.

RESULTS: Panelists recommended 18 indicators for inclusion in the pediatric quality indicator set based on overall usefulness for quality improvement efforts. The indicators included 13 hospital-level indicators, including 11 based on complications, 1 based on mortality, and 1 based on volume, as well as 5 area-level potentially preventable hospitalization indicators. National rates for all 18 of the indicators varied minimally between years. Rates in high-risk strata are notably higher than in the overall groups: in 2003 the decubitus ulcer pediatric quality indicator rate was 3.12 per 1000, whereas patients with limited mobility experienced a rate of 22.83. Trends in rates by age varied across pediatric quality indicators: short-term complications of diabetes increased with age, whereas admissions for gastroenteritis decreased with age.

CONCLUSIONS: Tracking potentially preventable complications and hospitalizations has the potential to help prioritize quality improvement efforts at both local and national levels, although additional validation research is needed to confirm the accuracy of coding.

Access to Early Intervention (EI) services may improve cognitive and behavioral outcomes in very low birth weight infants, but few states have population-based data to evaluate EI outreach efforts. We analyzed Massachusetts (MA) infants born weighing <1,200 g to identify maternal and birth characteristics that predicted EI referral and timing of referral.

METHODS: MA birth and hospital discharge records (Jan. 1998-Sept. 2000) were linked to EI referral records (Jan. 1998-Sept. 2003) via probabilistic and deterministic methods (88% linkage). Timing of EI referral among infants weighing <1,200 g was examined by infant and maternal characteristics using categorical (0-12 months, 12-36 months, or no referral) time comparisons in the crude analysis. Survival functions calculating median time to referral, and adjusted hazard ratios (HR) with 95% confidence intervals (CI) were calculated for continuous time comparisons of EI referral from birth to 36 months.

RESULTS: Of 1,233 infants weighing <1,200 g, 93.2% were referred to EI. After risk adjustment, referral was more likely among multiple-birth infants (HR = 1.17, 95%CI 1.06-1.30) and less likely among infants <28 weeks (HR = 0.70; 95%CI 0.64-0.77) or with low Apgar scores (<5 at 5 min; HR = 0.75; 95%CI 0.62-0.92). EI referrals were lower for infants of black non-Hispanic mothers, and mothers without private insurance (HR = 0.85; 95%CI 0.74-0.98 and HR = 0.77; 95%CI 0.68-0.86, respectively).

CONCLUSIONS: In MA, most infants born <1,200 g are referred to EI, but disparities exist. Analysis of linked population-based health and developmental services can inform programs in order to reduce disparities and improve access for all high-risk infants.