Reducing Prehospital Medication Errors & Time to Drug Delivery by EMS During Simulated Pediatric CPR

Pediatrics Clinical Trial

Official title:

A Mobile Device App to Reduce Prehospital Medication Errors and Time to Drug Preparation and Delivery by EMS During Simulated Pediatric Cardiopulmonary Resuscitation: a Multicenter, Prospective, Randomized, Controlled Trial

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT03921346
• Other study ID #: SNSF_32003B_182374
• Status: Completed
• Phase: N/A
• Start date: September 3, 2019
• Est. completion date: January 31, 2020

Study information

• Verified date: June 2021
• Source: Pediatric Clinical Research Platform
• Contact: n/a
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial Summary

The study investigators will recruit paramedics in many Emergency Medical Services (EMS) in Switzerland to prepare direct intravenous (IV) emergency drugs during a standardized simulation-based pediatric out-of-hospital cardiac arrest scenario. According to randomization, each paramedic will be asked to prepare sequentially 4 IV emergency drugs (epinephrine, midazolam, dextrose 10%, sodium bicarbonate 4.2%) following either their current conventional methods or by the aim of a mobile device app. This app is designed to support drug preparation at pediatric dosages. In a previous multicenter randomized trial with nurses, the investigators reported the ability of this app to significantly reduce in-hospital continuous infusion medication error rates and drug preparation time compared to conventional preparation methods during simulation-based resuscitations. In this trial, the aim was to assess this app during pediatric out-of-hospital cardiopulmonary resuscitation with paramedics.

Description:

Children represent a vulnerable population with specific medical needs compared to adults. Fast, accurate, and safe preparation and administration of IV drugs is both complex and time consuming in pediatric critical situations, such as cardiopulmonary resuscitation (CPR). Most drugs given IV to children are provided in vials originally prepared for the adult population, which leads to the need for a specific individual, weight-based drug dose calculation and preparation for each child that varies widely across age groups. This error-prone process and the lower dosing error tolerance of children place them at a high risk for life-threatening medication errors. Despite well equipped and staffed environments with numerous available safeguards, direct IV medication errors have been reported in up to 41% of cases during simulated in-hospital pediatric resuscitations, 65% of which were incorrect medication dosage, making it the most common error. The rate of errors is also important in the prehospital setting, occurring in more than 30% of all pediatric drugs administered. As paramedics have little exposure to critically ill children, they have limited opportunities to administer resuscitation drugs at pediatric doses and to train this skill. Moreover, in resuscitation, time is inversely correlated to survival. During the first 15 min of in-hospital pediatric CPR, survival and favorable neurological outcome decrease linearly by 2,1% and 1,2% per min, respectively, and rely in part on drug preparation time either in- or out-of-hospital. Among non-shockable pediatric out-of-hospital cardiac arrests, each minute delay to epinephrine delivery is associated with 9% decrease in the odds of survival. Regrettably, in the prehospital setting, the majority of patients receive epinephrine more than 10 minutes after EMS arrival. The chain of survival therefore critically relies on early out-of-hospital CPR by EMS, and onsite administration of IV emergency drugs without delay before a rapid transfer to pediatric emergency departments and advanced care. In a previous multicenter, randomized crossover trial, medication errors, time to drug preparation, and time to drug delivery for continuous infusions during simulation-based pediatric in-hospital postcardiac arrest scenarios were significantly reduced by using a mobile device app - the pediatric accurate medication in emergency situations (PedAMINES™) app - designed to help pediatric drug preparation. The present multicenter trial aims to compare the impact of this app with conventional calculation methods for the preparation of direct IV drugs during standardized, simulation-based, pediatric out-of-hospital cardiac arrest scenarios. The investigators hypothesized that use of the app might extend and scale up the previous multicenter in-hospital observations by similarly reducing occurrence of medication errors and time to drug preparation and delivery when used by paramedics in out-of-hospital settings. In this trial, the investigators will recruit paramedics in many EMS in Switzerland to prepare direct IV emergency drugs during a standardized simulation-based pediatric out-of-hospital cardiac arrest scenario with a high-fidelity WiFi manikin (Laerdal SimBaby). The scenario will take place out-of-hospital in a simulated children's room to increase realism. On the day of participation after random allocation (1:1 allocation ratio), each participating paramedic will (1) complete a survey collecting data regarding their demographics, care training, and simulation and computer experience, (2) receive a standardized 5-min training session on how to use the app, and (3) be presented the simulation manikin characteristics. The paramedics will then be asked to perform a 20-min highly realistic pediatric CPR scenario on the high-fidelity manikin. Each paramedic will be asked to prepare sequentially 4 intravenous emergency drugs (epinephrine, midazolam, dextrose 10%, sodium bicarbonate 4.2%) following either their current conventional methods or by the aim of the mobile app. The procedure is standardized across all sites to follow the same chronological progression and range of difficulty to ensure each participant is exposed to exactly the same case, with similar challenges in decision making and treatment preparation provided on the same manikin. All the actions (i.e. primary and secondary outcomes) performed by the paramedics during the scenario will be automatically recorded and stored by the responsive simulator detectors, the app, and by several GoPro Hero 5 Black edition action video cameras worn by the paramedics and placed within the room. The study will be carried out in accordance with the Consolidated Standards of Reporting Trials of Electronic and Mobile Health Applications and Online TeleHealth (CONSORT-EHEALTH) guidelines and the Reporting Guidelines for Health Care Simulation Research. This study aims to compare the impact of this app with conventional calculation methods for the preparation of direct IV drugs during standardized, simulation-based, pediatric out-of-hospital cardiac arrest scenarios, were paramedics are little exposed to pediatric CPRs. The investigators hypothesize that use of the app might extend and scale up their previous multicenter in-hospital observations by similarly reducing occurrence of medication errors and time to drug preparation and delivery when used by paramedics in out-of-hospital settings.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 150
• Est. completion date: January 31, 2020
• Est. primary completion date: January 31, 2020
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• To be paramedic certified
• To know how to prepare direct IV drugs
• To have previously completed the 5-minute introductory course to the use of the app PedAMINES™ dispensed by the study investigators
• Participation agreement

Exclusion Criteria:

• To have at any time previously used the app PedAMINES™
• To have not undergone the 5-minute introductory course to the use of the app PedAMINES™

Related Conditions & MeSH terms

• Cardiopulmonary Arrest
• Emergencies
• Emergency Medical Services
• Heart Arrest
• Medication Errors
• Pediatrics
• Resuscitation

Intervention

Device:
• Mobile device app (PedAMINES™) 1st drug
To prepare 0.01 mg/kg epinephrine (0.1 mL/kg of 0.1 mg/mL concentration)
• Mobile device app (PedAMINES™) 2nd drug
To prepare 0.1 mg/kg midazolam (of 5 mg/mL concentration ad 10 mL sodium chloride 0.9%)
• Mobile device app (PedAMINES™) 3rd drug
To prepare 4 mL/kg dextrose 10%
• Mobile device app (PedAMINES™) 4th drug
To prepare 1 mmol/kg sodium bicarbonate (of 4.2% = 0.5 mmol/L concentration)
• Conventional method 1st drug
To prepare 0.01 mg/kg epinephrine (0.1 mL/kg of 0.1 mg/mL concentration)
• Conventional method 2nd drug
To prepare 0.1 mg/kg midazolam (of 5 mg/mL concentration ad 10 mL sodium chloride 0.9%)
• Conventional method 3rd drug
To prepare 4 mL/kg dextrose 10%
• Conventional method 4th drug
To prepare 1 mmol/kg sodium bicarbonate (of 4.2% = 0.5 mmol/L concentration)

Locations

Country	Name	City	State
Switzerland	Geneva Emergency Medical Services (ACE Ambulances)	Geneva

Sponsors (8)

Lead Sponsor

Collaborator

Pediatric Clinical Research Platform

Fribourg Emergency Medical Services, Fribourg, Switzerland, Geneva Emergency Medical Services, Geneva, Switzerland, Lausanne Emergency Medical Services, Lausanne, Switzerland, Morges & Aubonne Emergency Medical Services (CSUMA), Morges and Aubonne, Switzerland, Neuchâtel Emergency Medical Services, Neuchâtel, Switzerland, Ticino Emergency Medical Services (SALVA Servizio Ambulanza Locarnese e Valli), Ticino, switzerland, Zürich Emergency Medical Services (Schutz & Rettung Sanität), Zürich, Switzerland

Country where clinical trial is conducted

Switzerland, 

References & Publications (17)

Andersen LW, Berg KM, Saindon BZ, Massaro JM, Raymond TT, Berg RA, Nadkarni VM, Donnino MW; American Heart Association Get With the Guidelines-Resuscitation Investigators. Time to Epinephrine and Survival After Pediatric In-Hospital Cardiac Arrest. JAMA. 2015 Aug 25;314(8):802-10. doi: 10.1001/jama.2015.9678. — View Citation

Cheng A, Kessler D, Mackinnon R, Chang TP, Nadkarni VM, Hunt EA, Duval-Arnould J, Lin Y, Cook DA, Pusic M, Hui J, Moher D, Egger M, Auerbach M; International Network for Simulation-based Pediatric Innovation, Research, and Education (INSPIRE) Reporting Guidelines Investigators. Reporting Guidelines for Health Care Simulation Research: Extensions to the CONSORT and STROBE Statements. Simul Healthc. 2016 Aug;11(4):238-48. doi: 10.1097/SIH.0000000000000150. — View Citation

Eysenbach G; CONSORT-EHEALTH Group. CONSORT-EHEALTH: improving and standardizing evaluation reports of Web-based and mobile health interventions. J Med Internet Res. 2011 Dec 31;13(4):e126. doi: 10.2196/jmir.1923. — View Citation

Foltin GL, Richmond N, Treiber M, Skomorowsky A, Galea S, Vlahov D, Blaney S, Kusick M, Silverman R, Tunik MG. Pediatric prehospital evaluation of NYC cardiac arrest survival (PHENYCS). Pediatr Emerg Care. 2012 Sep;28(9):864-8. — View Citation

Fukuda T, Kondo Y, Hayashida K, Sekiguchi H, Kukita I. Time to epinephrine and survival after paediatric out-of-hospital cardiac arrest. Eur Heart J Cardiovasc Pharmacother. 2018 Jul 1;4(3):144-151. doi: 10.1093/ehjcvp/pvx023. — View Citation

Hansen M, Schmicker RH, Newgard CD, Grunau B, Scheuermeyer F, Cheskes S, Vithalani V, Alnaji F, Rea T, Idris AH, Herren H, Hutchison J, Austin M, Egan D, Daya M; Resuscitation Outcomes Consortium Investigators. Time to Epinephrine Administration and Survival From Nonshockable Out-of-Hospital Cardiac Arrest Among Children and Adults. Circulation. 2018 May 8;137(19):2032-2040. doi: 10.1161/CIRCULATIONAHA.117.033067. Epub 2018 Mar 6. — View Citation

Hoyle JD Jr, Crowe RP, Bentley MA, Beltran G, Fales W. Pediatric Prehospital Medication Dosing Errors: A National Survey of Paramedics. Prehosp Emerg Care. 2017 Mar-Apr;21(2):185-191. doi: 10.1080/10903127.2016.1227001. Epub 2017 Feb 8. — View Citation

Hoyle JD, Davis AT, Putman KK, Trytko JA, Fales WD. Medication dosing errors in pediatric patients treated by emergency medical services. Prehosp Emerg Care. 2012 Jan-Mar;16(1):59-66. doi: 10.3109/10903127.2011.614043. Epub 2011 Oct 14. — View Citation

Kaufmann J, Laschat M, Wappler F. Medication errors in pediatric emergencies: a systematic analysis. Dtsch Arztebl Int. 2012 Sep;109(38):609-16. doi: 10.3238/arztebl.2012.0609. Epub 2012 Sep 21. Review. — View Citation

Kaushal R, Bates DW, Landrigan C, McKenna KJ, Clapp MD, Federico F, Goldmann DA. Medication errors and adverse drug events in pediatric inpatients. JAMA. 2001 Apr 25;285(16):2114-20. — View Citation

Matos RI, Watson RS, Nadkarni VM, Huang HH, Berg RA, Meaney PA, Carroll CL, Berens RJ, Praestgaard A, Weissfeld L, Spinella PC; American Heart Association's Get With The Guidelines-Resuscitation (Formerly the National Registry of Cardiopulmonary Resuscitation) Investigators. Duration of cardiopulmonary resuscitation and illness category impact survival and neurologic outcomes for in-hospital pediatric cardiac arrests. Circulation. 2013 Jan 29;127(4):442-51. doi: 10.1161/CIRCULATIONAHA.112.125625. Epub 2013 Jan 22. — View Citation

Moreira ME, Hernandez C, Stevens AD, Jones S, Sande M, Blumen JR, Hopkins E, Bakes K, Haukoos JS. Color-Coded Prefilled Medication Syringes Decrease Time to Delivery and Dosing Error in Simulated Emergency Department Pediatric Resuscitations. Ann Emerg Med. 2015 Aug;66(2):97-106.e3. doi: 10.1016/j.annemergmed.2014.12.035. Epub 2015 Feb 18. — View Citation

Porter E, Barcega B, Kim TY. Analysis of medication errors in simulated pediatric resuscitation by residents. West J Emerg Med. 2014 Jul;15(4):486-90. doi: 10.5811/westjem.2014.2.17922. — View Citation

Rittenberger JC, Bost JE, Menegazzi JJ. Time to give the first medication during resuscitation in out-of-hospital cardiac arrest. Resuscitation. 2006 Aug;70(2):201-6. Epub 2006 Jun 27. Review. — View Citation

Shah MN, Cushman JT, Davis CO, Bazarian JJ, Auinger P, Friedman B. The epidemiology of emergency medical services use by children: an analysis of the National Hospital Ambulatory Medical Care Survey. Prehosp Emerg Care. 2008 Jul-Sep;12(3):269-76. doi: 10.1080/10903120802100167. — View Citation

Siebert JN, Ehrler F, Combescure C, Lovis C, Haddad K, Hugon F, Luterbacher F, Lacroix L, Gervaix A, Manzano S; PedAMINES Trial Group. A mobile device application to reduce medication errors and time to drug delivery during simulated paediatric cardiopulmonary resuscitation: a multicentre, randomised, controlled, crossover trial. Lancet Child Adolesc Health. 2019 May;3(5):303-311. doi: 10.1016/S2352-4642(19)30003-3. Epub 2019 Feb 21. — View Citation

Su E, Schmidt TA, Mann NC, Zechnich AD. A randomized controlled trial to assess decay in acquired knowledge among paramedics completing a pediatric resuscitation course. Acad Emerg Med. 2000 Jul;7(7):779-86. — View Citation

* Note: There are 17 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Medication dosage errors	To measure in each allocation group the number and proportion of medication dosage containing errors that occur during the sequence from drug preparation to drug injection. We define an emergency medication dose administration error as a failure in drug preparation if at least one of the following errors is committed: a deviation in drug dose of more than 10% from the correct weight dose; inability to calculate drug dosage without guidance help from the paramedic investigator (LB) leading the resuscitation in the room; and/or (because of its clinical relevance) a deviation of more than 10% of the final administered concentration of sodium bicarbonate from the prescribed 4.2% concentration. These errors will be measured both as the percentage deviation from the amount of delivered drug compared with the correct weight dose as prescribed by the physician and the absolute deviations from that dose.	20 minutes
Secondary	Time to drug preparation and time to drug delivery	Secondary outcome will be the elapsed time in seconds between the oral prescription by the physician and a) time to drug preparation completion and b) time to drug delivery by the participant.	20 minutes
Secondary	Type of medication errors	Error in transcription of the physician's order into the medication dose, wrong choice of drug, wrong vial's initial concentration, wrong air purge out of the syringe before injection, stage of error detection: before or after injection, and aseptic errors will be measured.	20 minutes
Secondary	Stress perceived and satisfaction	A 3-item questionnaire using a 10-point Likert scale will be provided to the participants to measure their perceived stress and satisfaction about the preparation method used during the resuscitation scenario.; The questionnaire measures (1) the stress perceived before the scenario starts (On a scale from 1 to 10, how stressed are you now?), (2) the overall stress perceived at the end of the scenario (On a scale of 1 to 10, how stressed [maximum reached] were you during the drug preparation period?), and (3) the satisfaction about the preparation method used during the resuscitation scenario (On a scale of 1 to 10, how satisfied were you with your preparation experience?); Scale ranges: from 0 (minimum score) to 10 (maximum score), increments are integers between 0 to 10. For stress, higher values represent a worse score, whereas for satisfaction higher values represent a better score. No subscales will be combined.	20 minutes
Secondary	Stress level measured by heart rate monitoring (smartwatch).	The participants' stress level will be assessed by measuring continuously their heart rate using a Polar A360 smartwatch on their wrist during the resuscitation scenario. Mean delta HR values (difference between HR peak values and baseline HR) will be obtained during some small segments of scenario and correlated to the scenario phases and the preparation methods used.	20 minutes
Secondary	Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire	Acceptability and usability testing of the app will be assessed using a 52-item questionnaire based on the unified theory of acceptance and use of technology (UTAUT) model. It's a standardized instrument for measuring the likelihood of success for new technology introductions and helps to understand the drivers of its acceptance.; The questionnaire has 52 questions distributed in 4 key constructs: 1) performance expectancy, 2) effort expectancy, 3) social influence, and 4) facilitating conditions.; Each question are based on a Likert-type 5-point scale ranging from 1 = strongly disagree to 5 = strongly agree. Increments are integers between 1 to 5.	60 minutes