Literature DB >> 25070310

Cost-benefit analysis of a medical emergency team in a children's hospital.

Christopher P Bonafide1, A Russell Localio2, Lihai Song3, Kathryn E Roberts4, Vinay M Nadkarni5, Margaret Priestley5, Christine W Paine6, Miriam Zander6, Meaghan Lutts7, Patrick W Brady8, Ron Keren9.   

Abstract

OBJECTIVES: Medical emergency teams (METs) can reduce adverse events in hospitalized children. We aimed to model the financial costs and benefits of operating an MET and determine the annual reduction in critical deterioration (CD) events required to offset MET costs.
METHODS: We performed a single-center cohort study between July 1, 2007 and March 31, 2012 to determine the cost of CD events (unplanned transfers to the ICU with mechanical ventilation or vasopressors in the 12 hours after transfer) as compared with transfers to the ICU without CD. We then performed a cost-benefit analysis evaluating varying MET compositions and staffing models (freestanding or concurrent responsibilities) on the annual reduction in CD events needed to offset MET costs.
RESULTS: Patients who had CD cost $99,773 (95% confidence interval, $69,431 to $130,116; P < .001) more during their post-event hospital stay than transfers to the ICU that did not meet CD criteria. Annual MET operating costs ranged from $287,145 for a nurse and respiratory therapist team with concurrent responsibilities to $2,358,112 for a nurse, respiratory therapist, and ICU attending physician freestanding team. In base-case analysis, a nurse, respiratory therapist, and ICU fellow team with concurrent responsibilities cost $350,698 per year, equivalent to a reduction of 3.5 CD events.
CONCLUSIONS: CD is expensive. The costs of operating a MET can plausibly be recouped with a modest reduction in CD events. Hospitals reimbursed with bundled payments could achieve real financial savings by reducing CD with an MET.
Copyright © 2014 by the American Academy of Pediatrics.

Entities:  

Keywords:  Patient Protection and Affordable Care Act; cost-benefit analysis; health care financing; hospital rapid response team; intensive care units

Mesh:

Year:  2014        PMID: 25070310     DOI: 10.1542/peds.2014-0140

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  11 in total

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5.  Improving Communication by Standardizing Pediatric Rapid Response Team Documentation.

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7.  Predicting Unplanned Transfers to the Intensive Care Unit: A Machine Learning Approach Leveraging Diverse Clinical Elements.

Authors:  Ben Wellner; Joan Grand; Elizabeth Canzone; Matt Coarr; Patrick W Brady; Jeffrey Simmons; Eric Kirkendall; Nathan Dean; Monica Kleinman; Peter Sylvester
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Review 9.  Paediatric early warning systems for detecting and responding to clinical deterioration in children: a systematic review.

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Authors:  Daniela Nobrega Pavão; Monique Buttignol; Adriano José Pereira; Renato Tanjoni; Ederson Haroldo Pereira de Almeida; Patricia Leisnock; Gabriela Sato; Eliézer Silva
Journal:  Einstein (Sao Paulo)       Date:  2018-11-08
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