Literature DB >> 26686867

Impact of advanced monitoring variables on intraoperative clinical decision-making: an international survey.

Alexandre Joosten1,2, Olivier Desebbe3,4, Koichi Suehiro3,5, Mfonobong Essiet3, Brenton Alexander3, Cameron Ricks3, Joseph Rinehart3, David Faraoni6, Maurizio Cecconi7, Philippe Van der Linden8, Maxime Cannesson3,9.   

Abstract

To assess the relationship between the addition of advanced monitoring variables and changes in clinical decision-making. A 15-questions survey was anonymously emailed to international experts and physician members of five anesthesia societies which focused on assessing treatment decisions of clinicians during three realistic clinical scenarios measured at two distinct time points. The first is when typical case information and basic monitoring (T1) were provided, and then once again after the addition of advanced monitoring variables (T2). We hypothesized that the addition of advanced variables would increase the incidence of an optimal therapeutic decision (a priori defined as the answer with the highest percentage of expert agreement) and decrease the variability among the physician's suggested treatments. The survey was completed by 18 experts and 839 physicians. Overall, adding advanced monitoring did not significantly increase physician response accuracy, with the least substantial changes noted on questions related to volume expansion or vasopressor administration. Moreover, advanced monitoring data did not significantly decrease the high level of initial practice variability in physician suggested treatments (P = 0.13), in contrast to the low variability observed within the expert group (P = 0.039). Additionally, 5-10 years of practice (P < 0.0001) and a cardiovascular subspecialty (P = 0.048) were both physician characteristics associated with a higher rate of optimal therapeutic decisions. The addition of advanced variables was of limited benefit for most physicians, further indicating the need for more in depth education on the clinical value and technical understanding of such variables.

Keywords:  Education; Monitoring; Resuscitation

Mesh:

Year:  2015        PMID: 26686867     DOI: 10.1007/s10877-015-9817-1

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  15 in total

Review 1.  Why don't physicians follow clinical practice guidelines? A framework for improvement.

Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

Review 2.  Clinical trials of monitoring in anaesthesia, critical care and acute ward care: a review.

Authors:  D Young; J Griffiths
Journal:  Br J Anaesth       Date:  2006-05-12       Impact factor: 9.166

3.  A randomized trial of protocol-based care for early septic shock.

Authors:  Donald M Yealy; John A Kellum; David T Huang; Amber E Barnato; Lisa A Weissfeld; Francis Pike; Thomas Terndrup; Henry E Wang; Peter C Hou; Frank LoVecchio; Michael R Filbin; Nathan I Shapiro; Derek C Angus
Journal:  N Engl J Med       Date:  2014-03-18       Impact factor: 91.245

4.  High versus low blood-pressure target in patients with septic shock.

Authors:  Pierre Asfar; Ferhat Meziani; Jean-François Hamel; Fabien Grelon; Bruno Megarbane; Nadia Anguel; Jean-Paul Mira; Pierre-François Dequin; Soizic Gergaud; Nicolas Weiss; François Legay; Yves Le Tulzo; Marie Conrad; René Robert; Frédéric Gonzalez; Christophe Guitton; Fabienne Tamion; Jean-Marie Tonnelier; Pierre Guezennec; Thierry Van Der Linden; Antoine Vieillard-Baron; Eric Mariotte; Gaël Pradel; Olivier Lesieur; Jean-Damien Ricard; Fabien Hervé; Damien du Cheyron; Claude Guerin; Alain Mercat; Jean-Louis Teboul; Peter Radermacher
Journal:  N Engl J Med       Date:  2014-03-18       Impact factor: 91.245

5.  Variability in practice and factors predictive of total crystalloid administration during abdominal surgery: retrospective two-centre analysis.

Authors:  M Lilot; J M Ehrenfeld; C Lee; B Harrington; M Cannesson; J Rinehart
Journal:  Br J Anaesth       Date:  2015-01-13       Impact factor: 9.166

6.  Effect of a perioperative, cardiac output-guided hemodynamic therapy algorithm on outcomes following major gastrointestinal surgery: a randomized clinical trial and systematic review.

Authors:  Rupert M Pearse; David A Harrison; Neil MacDonald; Michael A Gillies; Mark Blunt; Gareth Ackland; Michael P W Grocott; Aoife Ahern; Kathryn Griggs; Rachael Scott; Charles Hinds; Kathryn Rowan
Journal:  JAMA       Date:  2014-06-04       Impact factor: 56.272

7.  Hemodynamic monitoring and management in patients undergoing high risk surgery: a survey among North American and European anesthesiologists.

Authors:  Maxime Cannesson; Gunther Pestel; Cameron Ricks; Andreas Hoeft; Azriel Perel
Journal:  Crit Care       Date:  2011-08-15       Impact factor: 9.097

8.  Evaluation of a novel closed-loop fluid-administration system based on dynamic predictors of fluid responsiveness: an in silico simulation study.

Authors:  Joseph Rinehart; Brenton Alexander; Yannick Le Manach; Christoph Hofer; Benoit Tavernier; Zeev N Kain; Maxime Cannesson
Journal:  Crit Care       Date:  2011-11-23       Impact factor: 9.097

Review 9.  Functional hemodynamic monitoring.

Authors:  Michael R Pinsky; Didier Payen
Journal:  Crit Care       Date:  2005-11-22       Impact factor: 9.097

10.  Mechanical ventilation and clinical practice heterogeneity in intensive care units: a multicenter case-vignette study.

Authors:  Yên-Lan Nguyen; Elodie Perrodeau; Bertrand Guidet; Ludovic Trinquart; Jean-Christophe M Richard; Alain Mercat; Philippe Jolliet; Philippe Ravaud; Laurent Brochard
Journal:  Ann Intensive Care       Date:  2014-02-01       Impact factor: 6.925

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  1 in total

1.  Advanced hemodynamic monitoring in intensive care medicine : A German web-based survey study.

Authors:  B Saugel; P C Reese; J Y Wagner; M Buerke; W Huber; S Kluge; R Prondzinsky
Journal:  Med Klin Intensivmed Notfmed       Date:  2017-05-04       Impact factor: 0.840

  1 in total

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