Literature DB >> 22809908

A controlled trial of electronic automated advisory vital signs monitoring in general hospital wards.

Rinaldo Bellomo1, Michael Ackerman, Michael Bailey, Richard Beale, Greg Clancy, Valerie Danesh, Andreas Hvarfner, Edgar Jimenez, David Konrad, Michele Lecardo, Kimberly S Pattee, Josephine Ritchie, Kathie Sherman, Peter Tangkau.   

Abstract

OBJECTIVES: Deteriorating ward patients are at increased risk. Electronic automated advisory vital signs monitors may help identify such patients and improve their outcomes.
SETTING: A total of 349 beds, in 12 general wards in ten hospitals in the United States, Europe, and Australia. PATIENTS: Cohort of 18,305 patients.
DESIGN: Before-and-after controlled trial. INTERVENTION: We deployed electronic automated advisory vital signs monitors to assist in the acquisition of vital signs and calculation of early warning scores. We assessed their effect on frequency, type, and treatment of rapid response team calls; survival to hospital discharge or to 90 days for rapid response team call patients; overall type and number of serious adverse events and length of hospital stay.
MEASUREMENTS AND MAIN RESULTS: We studied 9,617 patients before (control) and 8,688 after (intervention) deployment of electronic automated advisory vital signs monitors. Among rapid response team call patients, intervention was associated with an increased proportion of calls secondary to abnormal respiratory vital signs (from 21% to 31%; difference [95% confidence interval] 9.9 [0.1-18.5]; p=.029). Survival immediately after rapid response team treatment and survival to hospital discharge or 90 days increased from 86% to 92% (difference [95% confidence interval] 6.3 [0.0-12.6]; p=.04). Intervention was also associated with a decrease in median length of hospital stay in all patients (unadjusted p<.0001; adjusted p=.09) and more so in U.S. patients (from 3.4 to 3.0 days; unadjusted p<.0001; adjusted ratio [95% confidence interval] 1.03 [1.00-1.06]; p=.026). The time required to complete and record a set of vital signs decreased from 4.1±1.3 mins to 2.5±0.5 mins (difference [95% confidence interval] 1.6 [1.4-1.8]; p<.0001).
CONCLUSIONS: Deployment of electronic automated advisory vital signs monitors was associated with an improvement in the proportion of rapid response team-calls triggered by respiratory criteria, increased survival of patients receiving rapid response team calls, and decreased time required for vital signs measurement and recording (NCT01197326).

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Year:  2012        PMID: 22809908     DOI: 10.1097/CCM.0b013e318255d9a0

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  23 in total

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Journal:  Anaesthesist       Date:  2017-07-14       Impact factor: 1.041

2.  The rise of ward monitoring: opportunities and challenges for critical care specialists.

Authors:  Frederic Michard; Rinaldo Bellomo; Andreas Taenzer
Journal:  Intensive Care Med       Date:  2018-09-27       Impact factor: 17.440

3.  Temporal distribution of instability events in continuously monitored step-down unit patients: implications for Rapid Response Systems.

Authors:  Marilyn Hravnak; Lujie Chen; Artur Dubrawski; Eliezer Bose; Michael R Pinsky
Journal:  Resuscitation       Date:  2015-01-28       Impact factor: 5.262

Review 4.  A sneak peek into digital innovations and wearable sensors for cardiac monitoring.

Authors:  Frederic Michard
Journal:  J Clin Monit Comput       Date:  2016-08-26       Impact factor: 2.502

5.  Diagnostic precision of triage algorithms for mass casualty incidents. English version.

Authors:  A R Heller; N Salvador; M Frank; J Schiffner; R Kipke; C Kleber
Journal:  Anaesthesist       Date:  2017-08-10       Impact factor: 1.041

Review 6.  Rapid response systems.

Authors:  Patrick G Lyons; Dana P Edelson; Matthew M Churpek
Journal:  Resuscitation       Date:  2018-05-16       Impact factor: 5.262

7.  A randomized trial of real-time automated clinical deterioration alerts sent to a rapid response team.

Authors:  Marin H Kollef; Yixin Chen; Kevin Heard; Gina N LaRossa; Chenyang Lu; Nathan R Martin; Nelda Martin; Scott T Micek; Thomas Bailey
Journal:  J Hosp Med       Date:  2014-04-07       Impact factor: 2.960

8.  Real-Time Risk Prediction on the Wards: A Feasibility Study.

Authors:  Michael A Kang; Matthew M Churpek; Frank J Zadravecz; Richa Adhikari; Nicole M Twu; Dana P Edelson
Journal:  Crit Care Med       Date:  2016-08       Impact factor: 7.598

9.  In-hospital cardiac arrest incidence and outcomes in the era of COVID-19: an observational study in a Singapore hospital.

Authors:  Ting Lyu; Faheem Ahmed Khan; Shanaz Matthew Sajeed; Amit Kansal; Monika Gulati Kansal; Shekhar Dhanvijay; Rou An Tan; Jared D'Souza; Ian Cendana; Patricia Leong; Chee Keat Tan
Journal:  Int J Emerg Med       Date:  2021-05-31

Review 10.  Clinical review: the role of the intensivist and the rapid response team in nosocomial end-of-life care.

Authors:  Andrew K Hilton; Daryl Jones; Rinaldo Bellomo
Journal:  Crit Care       Date:  2013-04-26       Impact factor: 9.097

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