Literature DB >> 12187184

Cost-effectiveness and choice of infant transport systems.

Shoo K Lee1, John A F Zupancic, Joanna Sale, Margaret Pendray, Robin Whyte, David Brabyn, Robin Walker, Hilary Whyte.   

Abstract

OBJECTIVE: To compare cost-effectiveness of three types of infant transport models (Emergency Medical Technicians [EMT], Registered Nurses [RN], or Combined Teams [CT] of RNs and Respiratory Therapists) and to derive a decision model to guide choice of a transport system. RESEARCH
DESIGN: A prospective, multicenter, observational study was conducted to compare infant physiologic status before and after transport. Cost-effectiveness analysis from the perspective of the third-party payer, sensitivity analysis and threshold analysis were performed.
SUBJECTS: All (n = 1931) out born infants with complete transport data admitted to 11 regional tertiary-level Canadian NICUs from January 1996 to October 1997. MEASURES: Change in Transport Risk Index of Physiologic Stability (TRIPS) Score before and after transport, transport costs.
RESULTS: Change in TRIPS was predicted by gestational age at transport, transport duration, and pretransport TRIPS score, but not the type (EMT, RN, CT) of transport team, mode (air/ground) or direction (forward/retrograde) of transport, presence of a physician, and other baseline population risks (sex, small for gestational age, antenatal corticosteroid treatment, Apgar score). The RN model is least costly under most assumptions. At high transport volumes (>2760 transports per year) and long average transport times (>6.8 h per transport), the EMT model was less costly. Cost drivers of transport were volume of transport, relative wages of transport personnel, and percent of waiting time dedicated to infant transport.
CONCLUSIONS: A deterministic decision-analytic model can be used to model transport cost-effectiveness and derive a threshold analytic chart for identifying the least costly transport model.

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Mesh:

Year:  2002        PMID: 12187184     DOI: 10.1097/00005650-200208000-00010

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  6 in total

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Review 6.  Specialist teams for neonatal transport to neonatal intensive care units for prevention of morbidity and mortality.

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  6 in total

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