Co-ordinated multidisciplinary intervention to reduce time to successful extubation for children on mechanical ventilation: the SANDWICH cluster stepped-wedge RCT.

BACKGROUND Daily assessment of patient readiness for liberation from invasive mechanical ventilation can reduce the duration of ventilation. However, there is uncertainty about the effectiveness of this in a paediatric population. OBJECTIVES To determine the effect of a ventilation liberation intervention in critically ill children who are anticipated to have a prolonged duration of mechanical ventilation (primary objective) and in all children (secondary objective). DESIGN A pragmatic, stepped-wedge, cluster randomised trial with economic and process evaluations. SETTING Paediatric intensive care units in the UK. PARTICIPANTS Invasively mechanically ventilated children (aged < 16 years). INTERVENTIONS The intervention incorporated co-ordinated multidisciplinary care, patient-relevant sedation plans linked to sedation assessment, assessment of ventilation parameters with a higher than usual trigger for undertaking an extubation readiness test and a spontaneous breathing trial on low levels of respiratory support to test extubation readiness. The comparator was usual care. Hospital sites were randomised sequentially to transition from control to intervention and were non-blinded. MAIN OUTCOME MEASURES The primary outcome measure was the duration of invasive mechanical ventilation until the first successful extubation. The secondary outcome measures were successful extubation, unplanned extubation and reintubation, post-extubation use of non-invasive ventilation, tracheostomy, post-extubation stridor, adverse events, length of intensive care and hospital stay, mortality and cost per respiratory complication avoided at 28 days. RESULTS The trial included 10,495 patient admissions from 18 paediatric intensive care units from 5 February 2018 to 14 October 2019. In children with anticipated prolonged ventilation (n = 8843 admissions: control, n = 4155; intervention, n = 4688), the intervention resulted in a significantly shorter time to successful extubation [cluster and time-adjusted median difference -6.1 hours (interquartile range -8.2 to -5.3 hours); adjusted hazard ratio 1.11, 95% confidence interval 1.02 to 1.20; p = 0.02] and a higher incidence of successful extubation (adjusted relative risk 1.01, 95% confidence interval 1.00 to 1.02; p = 0.03) and unplanned extubation (adjusted relative risk 1.62, 95% confidence interval 1.05 to 2.51; p = 0.03), but not reintubation (adjusted relative risk 1.10, 95% confidence interval 0.89 to 1.36; p = 0.38). In the intervention period, the use of post-extubation non-invasive ventilation was significantly higher (adjusted relative risk 1.22, 95% confidence interval 1.01 to 1.49; p = 0.04), with no evidence of a difference in intensive care length of stay or other harms, but hospital length of stay was longer (adjusted hazard ratio 0.89, 95% confidence interval 0.81 to 0.97; p = 0.01). Findings for all children were broadly similar. The control period was associated with lower, but not statistically significantly lower, total costs (cost difference, mean £929.05, 95% confidence interval -£516.54 to £2374.64) and significantly fewer respiratory complications avoided (mean difference -0.10, 95% confidence interval -0.16 to -0.03). LIMITATIONS The unblinded intervention assignment may have resulted in performance or detection bias. It was not possible to determine which components were primarily responsible for the observed effect. Treatment effect in a more homogeneous group remains to be determined. CONCLUSIONS The intervention resulted in a statistically significant small reduction in time to first successful extubation; thus, the clinical importance of the effect size is uncertain. FUTURE WORK Future work should explore intervention sustainability and effects of the intervention in other paediatric populations. TRIAL REGISTRATION This trial is registered as ISRCTN16998143. FUNDING This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 26, No. 18. See the NIHR Journals Library website for further project information.

[1]  R. Hayes,et al.  Comparison of small-sample standard-error corrections for generalised estimating equations in stepped wedge cluster randomised trials with a binary outcome: A simulation study , 2020, Statistical methods in medical research.

[2]  Karla Hemming,et al.  Mixed-effects models for the design and analysis of stepped wedge cluster randomized trials: An overview , 2020, Statistical methods in medical research.

[3]  Karla Hemming,et al.  A tutorial on sample size calculation for multiple-period cluster randomized parallel, cross-over and stepped-wedge trials using the Shiny CRT Calculator , 2020, International journal of epidemiology.

[4]  M. Fonseca,et al.  Factors Associated With Unplanned Extubation in Children: A Case–Control Study , 2020, Journal of intensive care medicine.

[5]  M. Clarke,et al.  Sedation AND Weaning In Children (SANDWICH): protocol for a cluster randomised stepped wedge trial , 2019, BMJ Open.

[6]  Séamus A. Harvey,et al.  Cost-effectiveness of a combined classroom curriculum and parental intervention: economic evaluation of data from the Steps Towards Alcohol Misuse Prevention Programme cluster randomised controlled trial , 2019, BMJ Open.

[7]  A. Choi,et al.  Outcomes of mechanical ventilation according to WIND classification in pediatric patients , 2019, Annals of Intensive Care.

[8]  Bingshu E. Chen,et al.  Advantages of the net benefit regression framework for trial-based economic evaluations of cancer treatments: an example from the Canadian Cancer Trials Group CO.17 trial , 2019, BMC Cancer.

[9]  F. Carmona,et al.  Spontaneous Breathing Trial for Prediction of Extubation Success in Pediatric Patients Following Congenital Heart Surgery: A Randomized, Controlled Trial. , 2019, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[10]  M. Murphy,et al.  Peer-led walking programme to increase physical activity in inactive 60- to 70-year-olds: Walk with Me pilot RCT , 2019, Public Health Research.

[11]  Karla Hemming,et al.  Reporting of stepped wedge cluster randomised trials: extension of the CONSORT 2010 statement with explanation and elaboration , 2018, British Medical Journal.

[12]  L. Doyle,et al.  Ventilation in Extremely Preterm Infants and Respiratory Function at 8 Years , 2017, The New England journal of medicine.

[13]  Daniel M. McNeish Small Sample Methods for Multilevel Modeling: A Colloquial Elucidation of REML and the Kenward-Roger Correction , 2017, Multivariate behavioral research.

[14]  M. Clarke,et al.  Increasing boys' and girls' intentions to avoid teenage pregnancy: a cluster randomised controlled feasibility trial of an interactive video drama-based intervention in post-primary schools in Northern Ireland , 2017 .

[15]  R. Boland,et al.  The physician’s experience of changing clinical practice: a struggle to unlearn , 2017, Implementation Science.

[16]  Greg Guest,et al.  Comparing focus groups and individual interviews: findings from a randomized study , 2017 .

[17]  Fahad Alam,et al.  A cost-effectiveness analysis of self-debriefing versus instructor debriefing for simulated crises in perioperative medicine in Canada , 2016, Journal of educational evaluation for health professions.

[18]  T. Walsh,et al.  Staff education, regular sedation and analgesia quality feedback, and a sedation monitoring technology for improving sedation and analgesia quality for critically ill, mechanically ventilated patients: a cluster randomised trial. , 2016, The Lancet. Respiratory medicine.

[19]  E. Ista,et al.  Sedation in Critically Ill Children with Respiratory Failure , 2016, Front. Pediatr..

[20]  L. Tume,et al.  The implausibility of ‘usual care’ in an open system: sedation and weaning practices in Paediatric Intensive Care Units (PICUs) in the United Kingdom (UK) , 2015, Trials.

[21]  P. Donnan,et al.  The PRECIS-2 tool: designing trials that are fit for purpose , 2015, BMJ : British Medical Journal.

[22]  D. Tibboel,et al.  The COMFORT behaviour scale detects clinically meaningful effects of analgesic and sedative treatment , 2015, European journal of pain.

[23]  A. O’Cathain,et al.  Process evaluation of complex interventions: Medical Research Council guidance , 2015, BMJ : British Medical Journal.

[24]  D. Angus,et al.  Protocolized sedation vs usual care in pediatric patients mechanically ventilated for acute respiratory failure: a randomized clinical trial. , 2015, JAMA.

[25]  T. Bucknall,et al.  Protocol-directed sedation versus non-protocol-directed sedation to reduce duration of mechanical ventilation in mechanically ventilated intensive care patients. , 2015, The Cochrane database of systematic reviews.

[26]  C. Gamble,et al.  Prospective multicentre randomised, double-blind, equivalence study comparing clonidine and midazolam as intravenous sedative agents in critically ill children: the SLEEPS (Safety profiLe, Efficacy and Equivalence in Paediatric intensive care Sedation) study. , 2014, Health technology assessment.

[27]  Ya Nee. Poh,et al.  Sedation Guidelines, Protocols, and Algorithms in PICUs: A Systematic Review , 2014, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[28]  R. McEachan,et al.  Evaluating the PRASE patient safety intervention - a multi-centre, cluster trial with a qualitative process evaluation: study protocol for a randomised controlled trial , 2014, Trials.

[29]  A. Esteban,et al.  Our paper 20 years later: how has withdrawal from mechanical ventilation changed? , 2014, Intensive Care Medicine.

[30]  J. Hull The value of non-invasive ventilation , 2014, Archives of Disease in Childhood.

[31]  C. Guerriero,et al.  A clinical and economic evaluation of Control of Hyperglycaemia in Paediatric intensive care (CHiP): a randomised controlled trial. , 2014, Health technology assessment.

[32]  J. Wyatt,et al.  Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide , 2014, BMJ : British Medical Journal.

[33]  N. Iyer,et al.  The Use of Extubation Readiness Parameters: A Survey of Pediatric Critical Care Physicians , 2014, Respiratory Care.

[34]  P. Cruces,et al.  Weaning from mechanical ventilation in paediatrics. State of the art. , 2014, Archivos de bronconeumologia.

[35]  F. Shann,et al.  Paediatric Index of Mortality 3: An Updated Model for Predicting Mortality in Pediatric Intensive Care* , 2013, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[36]  C. Cardwell,et al.  Protocolized versus non-protocolized weaning for reducing the duration of invasive mechanical ventilation in critically ill paediatric patients. , 2013, The Cochrane database of systematic reviews.

[37]  J. Lacroix,et al.  Weaning children from mechanical ventilation with a computer-driven protocol: a pilot trial , 2013, Intensive Care Medicine.

[38]  A. Ferraro,et al.  The impact of daily evaluation and spontaneous breathing test on the duration of pediatric mechanical ventilation: A randomized controlled trial* , 2011, Critical care medicine.

[39]  D. Hess,et al.  Ventilator discontinuation: why are we still weaning? , 2011, American journal of respiratory and critical care medicine.

[40]  D. Fraser,et al.  Complications of mechanical ventilation in the pediatric population , 2011, Pediatric pulmonology.

[41]  A. Esteban,et al.  Unplanned extubation in the ICU: a marker of quality assurance of mechanical ventilation , 2011, Critical care.

[42]  K. Burns,et al.  Protocolized versus non-protocolized weaning for reducing the duration of mechanical ventilation in critically ill adult patients. , 2010, The Cochrane database of systematic reviews.

[43]  C. Rey,et al.  Non invasive ventilation after extubation in paediatric patients: a preliminary study , 2010, BMC pediatrics.

[44]  M. Atanasković-Marković,et al.  INDICATIONS AND COMPLICATIONS OF MECHANICAL VENTILATION IN PEDIATRIC INTENSIVE CARE UNIT PATIENTS , 2008 .

[45]  J. Durlak,et al.  Implementation Matters: A Review of Research on the Influence of Implementation on Program Outcomes and the Factors Affecting Implementation , 2008, American journal of community psychology.

[46]  J. Hughes,et al.  Design and analysis of stepped wedge cluster randomized trials. , 2007, Contemporary clinical trials.

[47]  P. Pronovost,et al.  An intervention to decrease catheter-related bloodstream infections in the ICU. , 2006, The New England journal of medicine.

[48]  Jeffrey S Hoch,et al.  Using the net benefit regression framework to construct cost-effectiveness acceptability curves: an example using data from a trial of external loop recorders versus Holter monitoring for ambulatory monitoring of "community acquired" syncope , 2006, BMC Health Services Research.

[49]  S. Wheelan,et al.  The link between teamwork and patients' outcomes in intensive care units. , 2003, American journal of critical care : an official publication, American Association of Critical-Care Nurses.

[50]  M. Fay,et al.  Small‐Sample Adjustments for Wald‐Type Tests Using Sandwich Estimators , 2001, Biometrics.

[51]  A. Esteban,et al.  A comparison of two methods to perform a breathing trial before extubation in pediatric intensive care patients , 2001, Intensive Care Medicine.

[52]  G. Evans,et al.  The prognostic significance of passing a daily screen of weaning parameters , 1999, Intensive Care Medicine.

[53]  James R. Dixon,et al.  The International Conference on Harmonization Good Clinical Practice guideline. , 1999, Quality assurance.

[54]  D C Angus,et al.  Grappling with intensive care unit quality--does the readmission rate tell us anything? , 1998, Critical care medicine.

[55]  A. Esteban,et al.  Weaning from mechanical ventilation in pediatric intensive care patients , 1998, Intensive Care Medicine.

[56]  E F Haponik,et al.  Effect on the duration of mechanical ventilation of identifying patients capable of breathing spontaneously. , 1996, The New England journal of medicine.

[57]  J. Blumer,et al.  Assessing distress in pediatric intensive care environments: the COMFORT scale. , 1992, Journal of pediatric psychology.

[58]  W. Knaus,et al.  An evaluation of outcome from intensive care in major medical centers. , 1986, Annals of internal medicine.

[59]  B. Kahan,et al.  Cluster randomized trials with a small number of clusters: which analyses should be used? , 2018, International journal of epidemiology.

[60]  J. Jordan,et al.  Factors that impact on the use of mechanical ventilation weaning protocols in critically ill adults and children , 2016 .

[61]  L. Rose Interprofessional collaboration in the ICU: how to define? , 2011, Nursing in critical care.

[62]  V. Braun,et al.  Please Scroll down for Article Qualitative Research in Psychology Using Thematic Analysis in Psychology , 2022 .