Optimal timing for the Modified Early Warning Score for prediction of short-term critical illness in the acute care chain: a prospective observational study.

Introduction: The Modified Early Warning Score (MEWS) is an effective tool to identify patients in the acute care chain who are likely to deteriorate. Although it is increasingly being implemented in the ED, the optimal moment to use the MEWS is unknown. This study aimed to determine at what moment in the acute care chain MEWS has the highest accuracy in predicting critical illness.

Recognition of Critically Ill Patients by Acute Healthcare Providers: A Multicenter Observational Study.

Objectives: Although the Modified Early Warning Score (MEWS) is increasingly being used in the acute care chain to recognize disease severity, its superiority compared with clinical gestalt remains unproven. Therefore, the aim of this study was to compare the accuracy of medical caregivers and MEWS in predicting the development of critical illness.

Design: This was a multicenter observational prospective study.

Performance of early warning and risk stratification scores versus clinical judgement in the acute setting: a systematic review.

Objective: Risk stratification is increasingly based on Early Warning Score (EWS)-based models, instead of clinical judgement. However, it is unknown how risk-stratification models and EWS perform as compared with the clinical judgement of treating acute healthcare providers. Therefore, we performed a systematic review of all available literature evaluating clinical judgement of healthcare providers to the use of risk-stratification models in predicting patients' clinical outcome.