Literature DB >> 27037267

Incorporating Patient Acuity Rating Score Into Patient Handoffs and the Correlation With Rapid Responses and Unexpected ICU Transfers.

Christopher O'Donnell1,2, Samantha Thomas2, Crystal Johnson2, Lalit Verma2, Jonathan Bae2, David Gallagher2.   

Abstract

Handoffs and rapid response team (RRT) activations have been a focus for quality improvement in hospital medicine. This study aimed to incorporate a previously used scoring system (1-7) for severity of illness on initial encounter as a handoff adjunct and to determine its impact on the number of RRTs and intensive care unit transfers. The Patient Acuity Rating (PAR) scale correlates with subsequent RRTs and transfers to a higher level of care, with higher scores leading to increased rates of RRTs and transfers. Patients who experienced an RRT at any time (mean score 4.69), within 24 hours (4.74), or an unplanned transfer (5.16) had higher PAR scores on assessment than those who did not (4.02; all P < .05). There was an increased likelihood of RRTs and transfers with scores of 6 or higher. There was no reduction in the quantity of RRTs or unplanned intensive care unit transfers comparing preintervention and postintervention data.

Entities:  

Keywords:  PAR score; handoffs; hospitalists; rapid responses

Mesh:

Year:  2016        PMID: 27037267     DOI: 10.1177/1062860616630809

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  3 in total

1.  Performance of patient acuity rating by rapid response team nurses for predicting short-term prognosis.

Authors:  Hyung-Jun Kim; Hyun-Ju Min; Dong-Seon Lee; Yun-Young Choi; Miae Yoon; Da-Yun Lee; In-Ae Song; Jun Yeun Cho; Jong Sun Park; Young-Jae Cho; You-Hwan Jo; Ho Il Yoon; Jae Ho Lee; Choon-Taek Lee; Yeon Joo Lee
Journal:  PLoS One       Date:  2019-11-14       Impact factor: 3.240

2.  Unplanned transfer from the telemetry unit to the intensive care unit in hospitalized patients with suspected acute coronary syndrome.

Authors:  Michele M Pelter; Denise Loranger; Teri M Kozik; Richard Fidler; Xiao Hu; Mary G Carey
Journal:  J Electrocardiol       Date:  2016-08-26       Impact factor: 1.438

3.  I-PASS Illness Severity Identifies Patients at Risk for Overnight Clinical Deterioration.

Authors:  Chirayu Shah; Khaled Sanber; Rachael Jacobson; Bhavika Kaul; Sarah Tuthill; Vagish Hemmige; Elizabeth Guy; Stephen Greenberg
Journal:  J Grad Med Educ       Date:  2020-10
  3 in total

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