Increasing compliance with low tidal volume ventilation in the ICU with two nudge-based interventions: evaluation through intervention time-series analyses

Objectives Low tidal volume (TVe) ventilation improves outcomes for ventilated patients, and the majority of clinicians state they implement it. Unfortunately, most patients never receive low TVes. ‘Nudges’ influence decision-making with subtle cognitive mechanisms and are effective in many contexts. There have been few studies examining their impact on clinical decision-making. We investigated the impact of 2 interventions designed using principles from behavioural science on the deployment of low TVe ventilation in the intensive care unit (ICU). Setting University Hospitals Bristol, a tertiary, mixed medical and surgical ICU with 20 beds, admitting over 1300 patients per year. Participants Data were collected from 2144 consecutive patients receiving controlled mechanical ventilation for more than 1 hour between October 2010 and September 2014. Patients on controlled mechanical ventilation for more than 20 hours were included in the final analysis. Interventions (1) Default ventilator settings were adjusted to comply with low TVe targets from the initiation of ventilation unless actively changed by a clinician. (2) A large dashboard was deployed displaying TVes in the format mL/kg ideal body weight (IBW) with alerts when TVes were excessive. Primary outcome measure TVe in mL/kg IBW. Findings TVe was significantly lower in the defaults group. In the dashboard intervention, TVe fell more quickly and by a greater amount after a TVe of 8 mL/kg IBW was breached when compared with controls. This effect improved in each subsequent year for 3 years. Conclusions This study has demonstrated that adjustment of default ventilator settings and a dashboard with alerts for excessive TVe can significantly influence clinical decision-making. This offers a promising strategy to improve compliance with low TVe ventilation, and suggests that using insights from behavioural science has potential to improve the translation of evidence into practice.

[1]  S. Wooding,et al.  The answer is 17 years, what is the question: understanding time lags in translational research , 2011, Journal of the Royal Society of Medicine.

[2]  C. Gross,et al.  Impact of randomized trial results on acute lung injury ventilator therapy in teaching hospitals. , 2003, American journal of respiratory and critical care medicine.

[3]  T. Gould,et al.  Using ‘nudge’ principles for order set design: a before and after evaluation of an electronic prescribing template in critical care , 2013, BMJ quality & safety.

[4]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[5]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[6]  Michael P Young,et al.  Ventilation of patients with acute lung injury and acute respiratory distress syndrome: Has new evidence changed clinical practice?* , 2004, Critical care medicine.

[7]  S. Halpern,et al.  Default options in the ICU: widely used but insufficiently understood , 2014, Current opinion in critical care.

[8]  Ameen Abu-Hanna,et al.  Tight glycemic control and computerized decision-support systems: a systematic review , 2009, Intensive Care Medicine.

[9]  F. Griffiths,et al.  Changing Clinical Practice Through Patient Specific Reminders Available at the Time of the Clinical Encounter: Systematic Review and Meta-Analysis , 2012, Journal of General Internal Medicine.

[10]  Ameen Abu-Hanna,et al.  Effect of a clinical decision support system on adherence to a lower tidal volume mechanical ventilation strategy. , 2009, Journal of critical care.

[11]  P. Pronovost,et al.  Lung protective mechanical ventilation and two year survival in patients with acute lung injury: prospective cohort study , 2012, BMJ : British Medical Journal.

[12]  Robert J Gallop,et al.  Potential reasons why physicians underuse lung-protective ventilation: a retrospective cohort study using physician documentation. , 2008, Respiratory care.

[13]  N. Petrucci,et al.  Lung protective ventilation strategy for the acute respiratory distress syndrome. , 2013, The Cochrane database of systematic reviews.

[14]  C. Putensen,et al.  Meta-analysis: Ventilation Strategies and Outcomes of the Acute Respiratory Distress Syndrome and Acute Lung Injury , 2009, Annals of Internal Medicine.

[15]  P. Pronovost Enhancing physicians' use of clinical guidelines. , 2013, JAMA.

[16]  Walter Ricciardi,et al.  The effectiveness of computerized clinical guidelines in the process of care: a systematic review , 2010, BMC health services research.

[17]  C. Holzmueller,et al.  Lessons from the Johns Hopkins Multi-Disciplinary Venous Thromboembolism (VTE) Prevention Collaborative , 2012, BMJ : British Medical Journal.

[18]  M. Loeffler,et al.  Practice and perception—A nationwide survey of therapy habits in sepsis* , 2008, Critical care medicine.

[19]  Eric J. Johnson,et al.  The Construction of Preference: Do Defaults Save Lives? , 2006 .

[20]  D. Schoenfeld,et al.  Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. , 2000, The New England journal of medicine.

[21]  K. Shojania,et al.  The effects of on-screen, point of care computer reminders on processes and outcomes of care. , 2009, The Cochrane database of systematic reviews.

[22]  B. Jacobs,et al.  Reduction in Clinical Variance Using Targeted Design Changes in Computerized Provider Order Entry (CPOE) Order Sets , 2012, Applied Clinical Informatics.

[23]  D. Asch,et al.  Harnessing the power of default options to improve health care. , 2007, The New England journal of medicine.

[24]  J. Wennberg,et al.  Time to tackle unwarranted variations in practice , 2011, BMJ : British Medical Journal.

[25]  J. Sterne,et al.  Evaluation of an intervention to reduce tidal volumes in ventilated ICU patients. , 2015, British journal of anaesthesia.

[26]  M. Beaussier,et al.  A trial of intraoperative low-tidal-volume ventilation in abdominal surgery. , 2013, The New England journal of medicine.

[27]  H. Simon,et al.  A Behavioral Model of Rational Choice , 1955 .