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Potilasputoamisriskien arviointi×Early Warning Score×
TieteenalaHoitotiedeHoitotiede
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi20002012
KehittäjäMultiple researchers (Oliver, Hendrich, and colleagues)Royal College of Physicians and multiple researchers (Smith, Prytherch, et al.)
TyyppiAssessment protocolScoring and warning system
AlkuperäislähdeHendrich, A. L., Bender, P. S., & Nyhuis, A. (2003). Validation of the Hendrich II Fall Risk Model: a large concurrent case/control study of hospitalized patients. Applied Nursing Research, 16(3), 159-171. DOI ↗Smith, G. B., Prytherch, D. R., Schmidt, P. E., & Featherstone, P. I. (2008). Should early warning systems be based on single data points or on trends? Resuscitation, 81(4), 424-426. link ↗
RinnakkaisnimetFall Risk Screening, Fall Prevention Assessment, PFRAEWS, NEWS, National Early Warning Score, Rapid Response System
Liittyvät44
TiivistelmäPatient Fall Risk Assessment is a systematic clinical evaluation process used to identify hospitalized or institutionalized patients at increased risk of falling. Falls are a major cause of injury and mortality in healthcare settings, particularly among older adults. The assessment considers intrinsic patient factors (e.g., age, medical conditions, medications) and extrinsic environmental factors (e.g., lighting, equipment, flooring) to guide preventive interventions.The Early Warning Score (EWS), most commonly known as the National Early Warning Score (NEWS) in the UK, is a standardized tool for identifying acutely unwell patients at risk of deterioration. Developed by the Royal College of Physicians and validated through research by Smith, Prytherch, and colleagues, NEWS combines vital sign measurements and supplemental oxygen use to generate a composite score. High NEWS scores trigger escalated care responses, enabling early intervention before critical illness develops.
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ScholarGateVertaile menetelmiä: Patient Fall Risk Assessment · Early Warning Score. Haettu 2026-06-19 osoitteesta https://scholargate.app/fi/compare