Evaluation of specific quality metrics to assess the performance of a specialised newborn transport programme

Autor: Maria Dolores Elorza Fernández, Ana Sánchez Torres, Maria José Rodríguez Castaño, Itziar Marsinyach Ros, Rocio Mosqueda Peña, Laura Sánchez García, Manuel Sánchez Luna, Maria Del Carmen Pérez Grande
Rok vydání: 2019
Předmět:
Zdroj: European Journal of Pediatrics
ISSN: 1432-1076
Popis: There is a lack of consensus on quality indicators suitable for neonatal transport. The aim of this study is to make a proposal for specific quality indicators for newborn transport. A retrospective descriptive study was performed (2009 to 2015) where twenty-four indicators were selected, evaluated and classified according to the 6 dimensions of quality of the Institute of Medicine. Among the 24 evaluated quality metrics, there were 3 of them which needed a correction when evaluating neonatal transport performance, because they were significantly correlated with gestational age. They were (a) stabilisation time, (b) prevalence of newborn arterial hypotension (defined by gestational age) and (c) unnoticed hypothermia at referral hospital. Conclusion: Quality evaluation through the definition of specific metrics in newborn transport is feasible. These indicators should be defined or adjusted for newborn population to measure the actual performance of the transport service.What is Known:• Quality indicators may help in defining metrics for clinical practice, promoting benchmarking and defining areas of improvement.• Newborn characteristics call for a specialised care, and quality measure during newborn transport require specific metrics. Quality metrics for paediatric transport have been defined using Delphi method. Some of these measures need to be specific for newborn, due to their intrinsic characteristics.What is New:• Using evidence-based literature and our newborn transport experience, specific quality indicators for newborn transport are suggested.• Data analysis shows how some indicators need to be adjusted for gestational age.
Databáze: OpenAIRE