Literature DB >> 1458947

Prospective evaluation of residents and nurses as severity score data collectors.

A W Holt1, L K Bury, A D Bersten, G A Skowronski, A E Vedig.   

Abstract

OBJECTIVES: To determine the interobserver reliability of residents and nurses collecting Acute Physiology and Chronic Health Evaluation (APACHE II) data and the subsequent effect of these data collections on individual patient mortality prediction.
DESIGN: In a prospective study, residents and nurses independently collected data to derive APACHE II scores. When their scores differed, a standard score was determined by one of the investigators.
SETTING: A general medical and surgical ICU. PATIENTS: A total of 120 consecutive patients were included; of these patients, 79 had standard scores determined because resident and nurse scores differed. MAIN
RESULTS: There was overall agreement between the residents and nurses with no significant difference between mean APACHE II scores or mean predicted mortality rates. Intraclass correlation coefficients confirmed good overall agreement between observer groups for predicted mortality rate: resident vs. nurse r2 = .94, resident vs. standard r2 = .94, and nurse vs. standard r2 = .90. However, clinically significant lack of agreement was demonstrated in 5% of the patients by the 95% confidence limits of agreement: resident vs. nurse -14 to +14%, resident vs. standard -10 to +14%, and nurse vs. standard -14 to +20%.
CONCLUSIONS: While interobserver variability between resident and nurse data collection has minimal effect on derived predicted mortality rate with large patient groups, significant variability may occur in individual patients. Residents were more accurate data collectors than nurses.

Entities:  

Mesh:

Year:  1992        PMID: 1458947     DOI: 10.1097/00003246-199212000-00015

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


  10 in total

1.  Comparison of sequential organ failure assessment (SOFA) scoring between nurses and residents.

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Journal:  J Anesth       Date:  2011-09-20       Impact factor: 2.078

2.  Comparison of the Glasgow Coma Scale and the Reaction Level Scale for assessment of cerebral responsiveness in the critically ill.

Authors:  Sten M Walther; Ulla Jonasson; Hans Gill
Journal:  Intensive Care Med       Date:  2003-05-07       Impact factor: 17.440

3.  Evidence-based improvement of the National Trauma Triage Protocol: The Glasgow Coma Scale versus Glasgow Coma Scale motor subscale.

Authors:  Joshua B Brown; Raquel M Forsythe; Nicole A Stassen; Andrew B Peitzman; Timothy R Billiar; Jason L Sperry; Mark L Gestring
Journal:  J Trauma Acute Care Surg       Date:  2014-07       Impact factor: 3.313

4.  Critical Care Nurses Inadequately Assess SAPS II Scores of Very Ill Patients in Real Life.

Authors:  Andreas Perren; Marco Previsdomini; Ilaria Perren; Paolo Merlani
Journal:  Crit Care Res Pract       Date:  2012-04-02

5.  Comparison of APACHE II and SAPS II Scoring Systems in Prediction of Critically Ill Patients' Outcome.

Authors:  Hamed Aminiahidashti; Farzad Bozorgi; Seyyed Hosein Montazer; Majid Baboli; Abolfazl Firouzian
Journal:  Emerg (Tehran)       Date:  2017-01-08

6.  Inter-Rater Reliability and Impact of Disagreements on Acute Physiology and Chronic Health Evaluation IV Mortality Predictions.

Authors:  Michelle Simkins; Ayesha Iqbal; Audrey Gronemeyer; Lisa Konzen; Jason White; Michael Koenig; Chris Palmer; Paul Kerby; Sara Buckman; Vladimir Despotovic; Christine Hoehner; Walter Boyle
Journal:  Crit Care Explor       Date:  2019-10-30

7.  Validation of APACHE II, APACHE III and SAPS II scores in in-hospital and one year mortality prediction in a mixed intensive care unit in Poland: a cohort study.

Authors:  Szymon Czajka; Katarzyna Ziębińska; Konstanty Marczenko; Barbara Posmyk; Anna J Szczepańska; Łukasz J Krzych
Journal:  BMC Anesthesiol       Date:  2020-12-02       Impact factor: 2.217

8.  A comparison of Child-Pugh, APACHE II and APACHE III scoring systems in predicting hospital mortality of patients with liver cirrhosis.

Authors:  Constantinos Chatzicostas; Maria Roussomoustakaki; Georgios Notas; Ioannis G Vlachonikolis; Demetrios Samonakis; John Romanos; Emmanouel Vardas; Elias A Kouroumalis
Journal:  BMC Gastroenterol       Date:  2003-05-08       Impact factor: 3.067

9.  Training in data definitions improves quality of intensive care data.

Authors:  Daniëlle G T Arts; Rob J Bosman; Evert de Jonge; Johannes C A Joore; Nicolette F de Keizer
Journal:  Crit Care       Date:  2003-02-18       Impact factor: 9.097

10.  Development and Validation of a Simplified Prehospital Triage Model Using Neural Network to Predict Mortality in Trauma Patients: The Ability to Follow Commands, Age, Pulse Rate, Systolic Blood Pressure and Peripheral Oxygen Saturation (CAPSO) Model.

Authors:  Yun Li; Lu Wang; Yuyan Liu; Yan Zhao; Yong Fan; Mengmeng Yang; Rui Yuan; Feihu Zhou; Zhengbo Zhang; Hongjun Kang
Journal:  Front Med (Lausanne)       Date:  2021-12-10
  10 in total

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