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Comput Inform Nurs ; 35(5): 228-236, 2017 May.
Artigo em Inglês | MEDLINE | ID: mdl-27832032

RESUMO

Pediatric Early Warning Scores are advocated to assist health professionals to identify early signs of serious illness or deterioration in hospitalized children. Scores are derived from the weighting applied to recorded vital signs and clinical observations reflecting deviation from a predetermined "norm." Higher aggregate scores trigger an escalation in care aimed at preventing critical deterioration. Process errors made while recording these data, including plotting or calculation errors, have the potential to impede the reliability of the score. To test this hypothesis, we conducted a controlled study of documentation using five clinical vignettes. We measured the accuracy of vital sign recording, score calculation, and time taken to complete documentation using a handheld electronic physiological surveillance system, VitalPAC Pediatric, compared with traditional paper-based charts. We explored the user acceptability of both methods using a Web-based survey. Twenty-three staff participated in the controlled study. The electronic physiological surveillance system improved the accuracy of vital sign recording, 98.5% versus 85.6%, P < .02, Pediatric Early Warning Score calculation, 94.6% versus 55.7%, P < .02, and saved time, 68 versus 98 seconds, compared with paper-based documentation, P < .002. Twenty-nine staff completed the Web-based survey. They perceived that the electronic physiological surveillance system offered safety benefits by reducing human error while providing instant visibility of recorded data to the entire clinical team.


Assuntos
Diagnóstico por Computador/métodos , Documentação/normas , Monitorização Fisiológica/normas , Diagnóstico por Computador/normas , Diagnóstico por Computador/estatística & dados numéricos , Documentação/métodos , Documentação/estatística & dados numéricos , Inglaterra , Indicadores Básicos de Saúde , Humanos , Monitorização Fisiológica/métodos , Monitorização Fisiológica/estatística & dados numéricos , Estudos Prospectivos , Reprodutibilidade dos Testes , Inquéritos e Questionários , Fatores de Tempo , Sinais Vitais
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