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J Adv Nurs ; 70(12): 2757-66, 2014 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-24702103

RESUMEN

AIMS: To investigate possible factors related to patient monitoring to explain the higher mortality rates associated with after-hours transfers compared with daytime transfers from critical care units to the wards. BACKGROUND: International research suggests that patients transferred from critical care units after-hours have a higher mortality rate than transfers during daytime, although the reasons remain unknown. DESIGN: A prospective exploratory study. METHODS: Twenty-nine patients transferred from a UK critical care unit to a ward within the same hospital after-hours for 10 weeks beginning April 2009 were compared with 29 transfers during daytime hours matched on potentially confounding characteristics. UK Critical Care Unit transfer guidelines have remained unchanged since data collection. Outcomes were as follows: (i) frequency of nursing observations; (ii) time periods from transfer to first medical review; (iii) time period from transfer to first clinical observations; (iv) frequency of transfer to an inappropriate ward; (v) delayed transfers from Critical Care Unit to ward. RESULTS: Using Wilcoxon's Rank test (two tail) to compare paired data from the matched groups, observations were recorded significantly less frequently within the first 12 hours for after-hours transfers. Time from transfer to first clinical observations was significantly longer for after-hour transfer patients. The delay from when the patient was ready for ward care and actual transfer was also longer for the after-hours transfer group. CONCLUSIONS: Surveillance differences, including time to the first set of observations and frequency of observations in the first 12 hours, are potential factors that may explain the differential mortality associated with after-hours transfers.


Asunto(s)
Atención Posterior/estadística & datos numéricos , Cuidados Críticos/estadística & datos numéricos , Mortalidad Hospitalaria , Unidades de Cuidados Intensivos/estadística & datos numéricos , Monitoreo Fisiológico/estadística & datos numéricos , Transferencia de Pacientes/estadística & datos numéricos , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Estudios de Cohortes , Femenino , Humanos , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Factores de Tiempo , Reino Unido
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