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Continuous Monitoring in an Inpatient Medical-Surgical Unit: A Controlled Clinical Trial - 20/02/14

Doi : 10.1016/j.amjmed.2013.12.004 
Harvey Brown, MD a, Jamie Terrence, RN a, Patricia Vasquez, RN, BSN a, David W. Bates, MD, MSc b, c, Eyal Zimlichman, MD, MSc b, c,
a California Hospital Medical Center, a member of Dignity Health, Los Angeles 
b The Center for Patient Safety Research and Practice, Division of General Internal Medicine, Brigham and Women's Hospital, Boston, Mass 
c Harvard Medical School, Boston, Mass 

Requests for reprints should be addressed to Eyal Zimlichman, MD, MSc, Center for Patient Safety Research and Practice, Division of General Medicine, Brigham & Women's Hospital, 1620 Tremont St, Boston, MA 02120.

Abstract

Background

For hospitalized patients with unexpected clinical deterioration, delayed or suboptimal intervention is associated with increased morbidity and mortality. Lack of continuous monitoring for average-risk patients has been suggested as a contributing factor for unexpected in-hospital mortality. Our objective was to assess the effects of continuous heart rate and respiration rate monitoring in a medical-surgical unit on unplanned transfers and length of stay in the intensive care unit and length of stay in the medical-surgical unit.

Methods

In a controlled study, we have compared a 33-bed medical-surgical unit (intervention unit) to a “sister” control unit for a 9-month preimplementation and a 9-month postimplementation period. Following the intervention, all beds in the intervention unit were equipped with monitors that allowed for continuous assessment of heart and respiration rate.

Results

We reviewed 7643 patient charts: 2314 that were continuously monitored in the intervention arm and 5329 in the control arms. Comparing the average length of stay of patients hospitalized in the intervention unit following the implementation of the monitors to that before the implementation and to that in the control unit, we observed a significant decrease (from 4.0 to 3.6 and 3.6 days, respectively; P <.05). Total intensive care unit days were significantly lower in the intervention unit postimplementation (63.5 vs 120.1 and 85.36 days/1000 patients, respectively; P = .04). The rate of transfer to the intensive care unit did not change, comparing before and after implementation and to the control unit (P = .19). Rate of code blue events decreased following the intervention from 6.3 to 0.9 and 2.1, respectively, per 1000 patients (P = .02).

Conclusions

Continuous monitoring on a medical-surgical unit was associated with a significant decrease in total length of stay in the hospital and in intensive care unit days for transferred patients, as well as lower code blue rates.

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Keywords : Clinical alarms, Hospital rapid response team, Heart arrest, Intensive care unit


Plan


 Funding: The study was funded by an industry grant provided by EarlySense Inc.
 Conflict of Interest: HB has received consulting fees from EarlySense LTD; JT and PV have no conflicts to report; DWB has received consulting fees and Honoraria from EarlySense LTD and has received a research grant supported by EarlySense LTD; EZ has received a research grant supported by EarlySense LTD.
 Authorship: HB has contributed to conception and design, to acquisition of data, and to the analysis and interpretation of data. HB has drafted the article and gave final approval of the version to be published. JT has contributed to conception and design, to acquisition of data, has critically revised the manuscript for important intellectual content, and gave final approval of the version to be published. PV has contributed to acquisition of data, has critically revised the manuscript for important intellectual content, and gave final approval of the version to be published. DWB has contributed to conception and design, to the analysis and interpretation of data, has critically revised the manuscript for important intellectual content, and gave final approval of the version to be published. EZ has contributed to conception and design, to the analysis and interpretation of data, has drafted the article, and gave final approval of the version to be published.


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Vol 127 - N° 3

P. 226-232 - mars 2014 Retour au numéro
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