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Patterns in the recording of vital signs and early warning scores: compliance with a clinical escalation protocol
  1. Chris Hands1,
  2. Eleanor Reid2,
  3. Paul Meredith3,
  4. Gary B Smith4,
  5. David R Prytherch3,5,
  6. Paul E Schmidt6,7,
  7. Peter I Featherstone6,7
  1. 1Department of Paediatrics, Whittington Hospital NHS Trust, London, UK
  2. 2Department of General Medicine, Portsmouth Hospitals NHS Trust, Portsmouth, Hampshire, UK
  3. 3TEAMS Centre, Portsmouth Hospitals NHS Trust, Portsmouth, UK
  4. 4School of Health and Social Care, University of Bournemouth, Bournemouth, Dorset, UK
  5. 5School of Computing, University of Portsmouth, Portsmouth, Hampshire, UK
  6. 6Medical Assessment Unit, Portsmouth Hospitals NHS Trust, Portsmouth, Hampshire, UK
  7. 7School of Health Sciences and Social Work, University of Portsmouth, Portsmouth, Hampshire, UK
  1. Correspondence to Professor G B Smith, Centre of Postgraduate Medical Research & Education (CoPMRE), School of Health and Social Care, Bournemouth University, Royal London House, Christchurch Road, Bournemouth, Dorset BH1 3LT, UK; garybsmith3{at}virginmedia.com

Abstract

Background The recognition of patient deterioration depends largely on identifying abnormal vital signs, yet little is known about the daily pattern of vital signs measurement and charting.

Methods We compared the pattern of vital signs and VitalPAC Early Warning Score (ViEWS) data collected from admissions to all adult inpatient areas (except high care areas, such as critical care units) of a NHS district general hospital from 1 May 2010 to 30 April 2011, to the hospital's clinical escalation protocol. Main outcome measures were hourly and daily patterns of vital signs and ViEWS value documentation; numbers of vital signs in the periods 08:00–11:59 and 20:00–23:59 with subsequent vital signs recorded in the following 6 h; and time to next observation (TTNO) for vital signs recorded in the periods 08:00–11:59 and 20:00–23:59.

Results 950 043 vital sign datasets were recorded. The daily pattern of observation documentation was not uniform; there were large morning and evening peaks, and lower night-time documentation. The pattern was identical on all days. 23.84% of vital sign datasets with ViEWS ≥ 9 were measured at night compared with 10.12–19.97% for other ViEWS values. 47.42% of patients with ViEWS=7–8 and 31.22% of those with ViEWS ≥ 9 in the period 20:00–23:59 did not have vital signs recorded in the following 6 h. TTNO decreased with increasing ViEWS value, but less than expected by the monitoring protocol.

Conclusions There was only partial adherence to the vital signs monitoring protocol. Sicker patients appear more likely to have vital signs measured overnight, but even their observations were often not followed by timely repeat assessments. The observed pattern of monitoring may reflect the impact of competing clinical priorities.

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