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Neonates and Infants Discharged Home Dependent on Medical Technology: Characteristics and Outcomes
Valerie Boebel Toly1, Carol M Musil, Amy Bieda
1Frances Payne Bolton School of Nursing (Drs Toly, Musil, Bieda, and Dowling), and Department of Epidemiology and Biostatistics, School of Medicine (Dr Sattar), Case Western Reserve University, Cleveland, Ohio; and Neonatal Transitional Care Center, Rainbow Babies & Children's Hospital, Cleveland, Ohio (Ms Barnett).
Technology-dependent neonates require specialized care at home. Female infants, those with gastrostomy tubes, and longer hospital stays increase rehospitalization risk for these vulnerable infants.
Area of Science:
- Neonatal intensive care
- Pediatric technology dependence
- Healthcare transition
Background:
- Neonates in NICU often require medical technology for survival post-discharge.
- Technology use necessitates specialized parental education on neonatal assessment and device operation.
- Transitioning home with technology-dependent infants is challenging and linked to increased healthcare utilization.
Purpose of the Study:
- To determine the incidence and characteristics of technology-dependent neonates.
- To analyze healthcare utilization outcomes (ER visits, rehospitalizations) post-discharge.
- To identify factors associated with healthcare utilization in this population.
Main Methods:
- Retrospective medical record review of 71 technology-dependent neonates.
- Analysis of demographic characteristics, hospital length of stay, and technology type.
- Regression analysis of 22 neonates with 1-year postdischarge data to assess healthcare utilization.
Main Results:
- 40% of neonates were born between 23-26 weeks gestation with <1000g birth weight.
- Supplemental oxygen (66%) and feeding tubes (46.5%) were most common technologies.
- Female sex, gastrostomy tubes, and longer initial hospital stay increased rehospitalization risk.
Conclusions:
- Family assessment and support, especially for mothers, are crucial post-discharge.
- Longitudinal research is needed to understand long-term outcomes for technology-dependent infants.
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