Network analysis of team structure in the neonatal intensive care unit.

OBJECTIVE: The goal was to examine nursing team structure and its relationship with family satisfaction. METHODS: We used electronic health records to create patient-based, 1-mode networks of nursing handoffs. In these networks, nurses were represented as nodes and handoffs as edges. For each patient, we calculated network statistics including team size and diameter, network centrality index, proportion of newcomers to care teams according to day of hospitalization, and a novel measure of the average number of shifts between repeat caregivers, which was meant to quantify nursing continuity. We assessed parental satisfaction by using a standardized survey. RESULTS: Team size increased with increasing length of stay. At 2 weeks of age, 50% of shifts were staffed by a newcomer nurse who had not previously cared for the index patient. The patterns of newcomers to teams did not differ according to birth weight. When the population was dichotomized according to median mean repeat caregiver interval value, increased reports of problems with nursing care were seen with less-consistent staffing by familiar nurses. This relationship persisted after controlling for factors including birth weight, length of stay, and team size. CONCLUSIONS: Family perceptions of nursing care quality are more strongly associated with team structure and the sequence of nursing participation than with team size. Objective measures of health care team structure and function can be examined by applying network analytic techniques to information contained in electronic health records.

Cost-effectiveness of early treatment for retinopathy of prematurity.

BACKGROUND: The Early Treatment for Retinopathy of Prematurity trial demonstrated that peripheral retinal ablation of eyes with high-risk prethreshold retinopathy of prematurity (early treatment) is associated with improved visual outcomes at 9 months' corrected gestational age compared with treatment at threshold disease (conventional management). However, early treatment increased the frequency of laser therapy, anesthesia with intubation, treatment-related systemic complications, and the need for repeat treatments. OBJECTIVE: To determine the cost-effectiveness of an early treatment strategy for retinopathy of prematurity compared with conventional management. DESIGN/METHODS: We developed a stochastic decision analytic model to assess the incremental cost of early treatment per eye with severe visual impairment prevented. We derived resource-use and efficacy estimates from the Early Treatment for Retinopathy of Prematurity trial's published outcome data. We used a third-party payer perspective. Our primary analysis focused on outcomes from birth through 9 months' corrected gestational age. A secondary analysis used a lifetime horizon. Parameter uncertainty was quantified by using probabilistic and deterministic sensitivity analyses. RESULTS: The incremental cost-effectiveness of early treatment was $14,200 per eye with severe visual impairment prevented. There was a 90% probability that the cost-effectiveness of early treatment would be less than $40,000 per eye with severe visual impairment prevented and a 0.5% probability that early treatment would be cost-saving (less costly and more effective). Limiting early treatment to more severely affected eyes (eyes with "type 1 retinopathy of prematurity" as defined by the Early Treatment for Retinopathy of Prematurity trial) had a cost-effectiveness of $6,200 per eye with severe visual impairment prevented. Analyses that considered long-term costs and outcomes found that early treatment was cost-saving. CONCLUSIONS: Early treatment of retinopathy of prematurity is both efficacious and economically desirable. Because of the high lifetime costs of severe visual impairment, the early treatment strategy provides long-term cost savings.