RESUMO
OBJECTIVES: To perform an economic evaluation to estimate the return on investment (ROI) of making available telemedicine consultations from a healthcare payer perspective, and to estimate the economic impacts of telemedicine under a hypothetical scenario in which all rural hospitals providing level I neonatal care in California had access to telemedicine consultations from neonatologists at level III and level IV neonatal intensive care units (NICUs). STUDY DESIGN: We developed standard decision models with assumptions derived from primary data and the literature. Telemedicine costs included equipment installation and operation costs. Probabilistic analysis with Monte Carlo simulation was performed to address model uncertainties and to estimate 95% probabilistic confidence intervals (PCIs). All costs were adjusted to 2017 US dollars using the Consumer Price Index. RESULTS: Our probabilistic analysis estimated the ROI to have a mean value of 2.23 (95% PCI, -0.7 to 6.0). That is, a $1 investment in this telemedicine model would yield a net medical expenditure saving of $1.23. "Cost saving" was observed for 75% of the hypothetical 1000 Monte Carlo simulations. For the state of California, the estimated mean annual net savings was $661 000. CONCLUSIONS: Providing telemedicine and making available consultations to rural hospitals providing level I neonatal care are likely to reduce medical expenditures by reducing potentially avoidable transfers of newborns to level III and IV NICUs, offsetting all telemedicine-related costs.
Assuntos
Intervenção Coronária Percutânea , Telemedicina , Análise Custo-Benefício , Humanos , Recém-Nascido , Unidades de Terapia Intensiva Neonatal , Encaminhamento e ConsultaRESUMO
OBJECTIVE: To determine the association between potentially avoidable transfers (PATs) and emergency department (ED) pediatric readiness scores and the score's associated components. STUDY DESIGN: This cross-sectional study linked the 2012 National Pediatric Readiness Project assessment with individual encounter data from California's statewide ED and inpatient databases during the years 2011-2013. A probabilistic linkage, followed by deterministic heuristics, linked pretransfer, and post-transfer encounters. Applying previously published definitions, a transferred child was considered a PAT if they were discharged within 1 day from the ED or inpatient care and had no specialized procedures. Analyses were stratified by injured and noninjured children. We compared PATs with necessary transfers using mixed-effects logistic regression models with random intercepts for hospital and adjustment for patient and hospital covariates. RESULTS: After linkage, there were 6765 injured children (27% PATs) and 18 836 noninjured children (14% PATs) who presented to 283 hospitals. In unadjusted analyses, a 10-point increase in pediatric readiness was associated with lower odds of PATs in both injured (OR 0.93, 95% CI 0.90-0.96) and noninjured children (OR 0.90, 95% CI 0.88-0.93). In adjusted analyses, a similar association was detected in injured patients (aOR 0.92, 95% CI 0.86-0.98) and was not detected in noninjured patients (aOR 0.94, 95% CI 0.88-1.00). Components associated with decreased PATs included having a nurse pediatric emergency care coordinator and a quality improvement plan. CONCLUSIONS: Hospital ED pediatric readiness is associated with lower odds of a PAT. Certain pediatric readiness components are modifiable risk factors that EDs could target to reduce PATs.