Abstract
ObjectiveThe aim of the study was to develop and validate, by consensus, the construct and content of an observations chart for nurses incorporating a modified early warning scoring (MEWS) system for physiological parameters to be used for bedside monitoring on general wards in a public hospital in South Africa.MethodsDelphi and modified face-to-face nominal group consensus methods were used to develop and validate a prototype observations chart that incorporated an existing UK MEWS. This informed the development of the Cape Town ward MEWS chart.ParticipantsOne specialist anaesthesiologist, one emergency medicine specialist, two critical care nurses and eight senior ward nurses with expertise in bedside monitoring (N = 12) were purposively sampled for consensus development of the MEWS. One general surgeon declined and one neurosurgeon replaced the emergency medicine specialist in the final round.ResultsFive consensus rounds achieved ≥70% agreement for cut points in five of seven physiological parameters respiratory and heart rates, systolic BP, temperature and urine output. For conscious level and oxygen saturation a relaxed rule of <70% agreement was applied. A reporting algorithm was established and incorporated in the MEWS chart representing decision rules determining the degree of urgency. Parameters and cut points differed from those in MEWS used in developed countries.ConclusionsA MEWS for developing countries should record at least seven parameters. Experts from developing countries are best placed to stipulate cut points in physiological parameters. Further research is needed to explore the ability of the MEWS chart to identify physiological and clinical deterioration.
Highlights
In well-resourced settings, observations charts often incorporate early warning or modified early warning scoring (EWS/MEWS) systems [1]
A reporting algorithm was established and incorporated in the MEWS chart representing decision rules determining the degree of urgency
Further research is needed to explore the ability of the MEWS chart to identify physiological and clinical deterioration
Summary
Design Delphi and nominal group consensus methods were employed for a multidisciplinary approach to derive a contextually suitable MEWS from an existing UK MEWS and to develop a prototype observations chart that incorporated the MEWS. Respiratory rate/min SaO2 Heart rate/min BP systolic Temperature oC NEUROLOGICAL STATUS Glasgow Coma Scale (GCS) OR AVPU Urine mls/kg/hr
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