Effect of Transition From a Unit-Based Team to External Transport Team for a Pediatric Critical Care Unit

    loading  Checking for direct PDF access through Ovid


Objective:Pediatric hospitals must consider staff, training, and direct costs required to maintain a pediatric specialized transport team, balanced with indirect potential benefits of marketing and referral volume. The effect of transitioning a unit-based transport team to an external service on the pediatric intensive care unit (PICU) is unknown, but information is needed as hospital systems focus on population management. We examined the impact on PICU transports after transition to an external transport vendor.Methods:Single-center retrospective review performed of PICU admissions, referrals, and transfers during baseline, post-, and maintenance period with a total of 9-year follow-up. Transfer volume was analyzed during pre-, post-, and maintenance phase with descriptive statistics and statistical process control charts from 1999 to 2012.Results:Total PICU admissions increased with an annual growth rate of 3.7%, with mean annual 626 admissions prior to implementation to the mean of 890 admissions at the end of period, P < .001. The proportion of transport to total admissions decreased from 27% to 21%, but mean annual transports were unchanged, 175 to 183, P = .6, and mean referrals were similar, 186 to 203, P = .8. Seasonal changes in transport volume remained as a predominant source of variability. Annual transport refusals increased initially in the postimplementation phase, mean 11 versus 33, P < .03, but similar to baseline in the maintenance phase, mean 20/year, P = .07. Patient refusals were due to bed and staffing constraints, with 7% due to the lack of transport vendor availability.Conclusion:In a transition to a regional transport service, PICU transport volume was maintained in the long-term follow-up and total PICU admissions increased. Further research on the direct and indirect impact of transport regionalization is needed to determine the optimal cost–benefit and quality of care as health-care systems focus on population management.

    loading  Loading Related Articles