CClinicalTrials.gg
CompletedNCT03921346Updated Oct 3, 2024Results posted

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

An interventional study of Mobile device app (PedAMINES™) 1st drug and Mobile device app (PedAMINES™) 2nd drug in Cardiopulmonary Arrest, Resuscitation and Pediatrics, sponsored by Pediatric Clinical Research Platform. Completed at 1 site in Switzerland. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-10-03.

Sponsored by Pediatric Clinical Research Platform · Not applicable, Interventional, and Treatment

Phase
Not applicable
Study type
Interventional
Enrollment
150
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study 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.

Read the detailed 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.

02

Conditions studied

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

Keywords

  • Medication errors
  • Drugs
  • Pediatrics
  • Biomedical Technology
  • Mobile applications
  • Emergency Medical Services
03

In context

Heart Arrest

966 studies on the registry are indexed under Heart Arrest; 227 are open to participants now.

This study's enrollment of 150 is above the median of 100 across 557 interventional studies indexed under Heart Arrest.

Browse Heart Arrest studies →

Lead sponsor

Pediatric Clinical Research Platform is the lead sponsor of 13 studies on the registry; 6 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

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

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™
05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
150 participants (actual)

Study arms

  • Experimental
    Arm A (mobile device app)

    Paramedics preparing drugs with the help of the mobile device app PedAMINES™. Each paramedic will have to prepare sequentially 4 direct IV emergency drugs with the help of the mobile device app PedAMINES™.

    Device: Mobile device app (PedAMINES™) 1st drug · Device: Mobile device app (PedAMINES™) 2nd drug · Device: Mobile device app (PedAMINES™) 3rd drug · Device: Mobile device app (PedAMINES™) 4th drug

  • Active comparator
    Arm B (conventional preparation method)

    Paramedics preparing drugs with the help of conventional method. Each paramedic will have to prepare sequentially 4 direct IV emergency drugs with the help of conventional method

    Device: Conventional method 1st drug · Device: Conventional method 2nd drug · Device: Conventional method 3rd drug · Device: Conventional method 4th drug

Interventions

  • DeviceMobile device app (PedAMINES™) 1st drug

    To prepare 0.01 mg/kg epinephrine (0.1 mL/kg of 0.1 mg/mL concentration)

  • DeviceMobile device app (PedAMINES™) 2nd drug

    To prepare 0.1 mg/kg midazolam (of 5 mg/mL concentration ad 10 mL sodium chloride 0.9%)

  • DeviceMobile device app (PedAMINES™) 3rd drug

    To prepare 4 mL/kg dextrose 10%

  • DeviceMobile device app (PedAMINES™) 4th drug

    To prepare 1 mmol/kg sodium bicarbonate (of 4.2% = 0.5 mmol/L concentration)

  • DeviceConventional method 1st drug

    To prepare 0.01 mg/kg epinephrine (0.1 mL/kg of 0.1 mg/mL concentration)

  • DeviceConventional method 2nd drug

    To prepare 0.1 mg/kg midazolam (of 5 mg/mL concentration ad 10 mL sodium chloride 0.9%)

  • DeviceConventional method 3rd drug

    To prepare 4 mL/kg dextrose 10%

  • DeviceConventional method 4th drug

    To prepare 1 mmol/kg sodium bicarbonate (of 4.2% = 0.5 mmol/L concentration)

06

What researchers measure

Primary outcomes

  1. Medication Dosage Errors

    To measure in each allocation group the number and percentage 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.

    Time frame: 20 minutes

Secondary outcomes

  1. 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.

    Time frame: 20 minutes

  2. Type of Medication Errors

    Incorrect preparations: a) drug dose deviation \>10% from the correct dose prescribed by the physician, b) drug preparation necessitating assistance (i.e., inability for the nurse to prepare the prescribed drug without the help of a third party), and c) \>10% deviation from the prescribed drug dose in the 4th drug concentration will be reported.

    Time frame: During each of the 4 drug preparations, an average of 20 minutes per drug preparation.

  3. Perceived Stress

    Participants' self-assessed psychological stress will be measured before and after the intervention (ie. drug preparation) using the Gauthier and Bouchard's French-Canadian adaptation of Spielberger's psychometric State-Trait Anxiety Inventory (STAI) Form Y-1 questionnaire. STAI ranges from 20 to 80, with higher scores being positively correlated with greater stress. Perceived stress will also be assessed by self-assessment using a numerical 10-point Likert visual analogue scale (VAS). Values range from 1 (totally unstressed) to 10 (totally stressed) to avoid neutral answers. The perceived stress before the preparation of the 4 drugs and after the preparation of the 4 drugs will be indicated for each study arm. In other words, the perceived stress will not be given for each of the 4 drugs individually, but as a single value before and a single value after the drug preparation, for both the STAI and the VAS.

    Time frame: At preintervention and postintervention, a total of 20 minutes will be used to complete the STAI questionnaire.

  4. 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.

    Time frame: Baseline, recovery, and during each of the 4 drug preparations, a total of 20 minutes per participant will be used to continuously record heart rates on the smartwatch. Maximal HRpeak is the maximum HR across all preparations

  5. Unified Theory of Acceptance and Use of Technology (UTAUT) Questionnaire and System Usability Score (SUS)

    Unified Theory of Acceptance and Use of Technology (UTAUT): a 52-item questionnaire distributed in 8 core constructs: 1) perceived usefulness (4 items), 2) perceived ease of use (4 items), 3) task-technology fit (4 items), 4) performance expectancy (3 items), 5) impact on image (2 items), 6) personal innovativeness (3 items), 7) acceptance (3 items), and 8) behavioral intention to use the technology (3 items). Each construct 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. Min score per construct = 1, max score per construct = 5. The higher the score, the better the acceptance. System Usability Score (SUS): Comprises a 10-item questionnaire with 5 response options for each item, ranging from 1 (strongly disagree) to 5 (strongly agree). The higher the score, the better the usability (ie, 0=very poor perceived usability and 100=excellent perceived usability)

    Time frame: 60 minutes

07

Results

Posted Oct 3, 2024

Participant flow

Participant flow — Overall Study
MilestoneArm A (Mobile Device App)Arm B (Conventional Preparation Method)
Started7476
Completed7476
Not completed00

Outcome measures

PrimaryMedication Dosage Errors

To measure in each allocation group the number and percentage 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.

Time frame:
20 minutes
Reported as:
Mean · percentage of medication errors
Medication Dosage Errors
percentage of medication errorsArm A (Mobile Device App)Arm B (Conventional Preparation Method)
Medication Dosage Errors5.7 (3.4 to 9.0)62.8 (57.1 to 68.3)
SecondaryTime 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.

Time frame:
20 minutes
Reported as:
Mean · seconds
Time to Drug Preparation and Time to Drug Delivery
secondsArm A (Mobile Device App)Arm B (Conventional Preparation Method)
Time to drug preparation146.6 (95.3 to 198.0)186.1 (134.8 to 237.4)
Time to drug delivery186.8 (142.1 to 231.4)233.3 (188.7 to 277.9)
SecondaryType of Medication Errors

Incorrect preparations: a) drug dose deviation \>10% from the correct dose prescribed by the physician, b) drug preparation necessitating assistance (i.e., inability for the nurse to prepare the prescribed drug without the help of a third party), and c) \>10% deviation from the prescribed drug dose in the 4th drug concentration will be reported.

Time frame:
During each of the 4 drug preparations, an average of 20 minutes per drug preparation.
Reported as:
Count of units · Drug preparations
Type of Medication Errors
Drug preparationsArm A (Mobile Device App)Arm B (Conventional Preparation Method)
Incorrect preparations17191
Dose deviation >10%16172
Help required055
4th drug concentration deviation >10%546
SecondaryPerceived Stress

Participants' self-assessed psychological stress will be measured before and after the intervention (ie. drug preparation) using the Gauthier and Bouchard's French-Canadian adaptation of Spielberger's psychometric State-Trait Anxiety Inventory (STAI) Form Y-1 questionnaire. STAI ranges from 20 to 80, with higher scores being positively correlated with greater stress. Perceived stress will also be assessed by self-assessment using a numerical 10-point Likert visual analogue scale (VAS). Values range from 1 (totally unstressed) to 10 (totally stressed) to avoid neutral answers. The perceived stress before the preparation of the 4 drugs and after the preparation of the 4 drugs will be indicated for each study arm. In other words, the perceived stress will not be given for each of the 4 drugs individually, but as a single value before and a single value after the drug preparation, for both the STAI and the VAS.

Time frame:
At preintervention and postintervention, a total of 20 minutes will be used to complete the STAI questionnaire.
Reported as:
Mean · score on a scale
Perceived Stress
score on a scaleMobile AppConventional Method
STAI preintervention36.1 ± 8.135.4 ± 8.2
STAI postintervention39.0 ± 8.449.8 ± 13.2
VAS preintervention4.2 ± 2.53.9 ± 2.2
VAS postintervention6.4 ± 1.97.1 ± 1.8
SecondaryStress 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.

Time frame:
Baseline, recovery, and during each of the 4 drug preparations, a total of 20 minutes per participant will be used to continuously record heart rates on the smartwatch. Maximal HRpeak is the maximum HR across all preparations
Reported as:
Mean · Beats per minute
Stress Level Measured by Heart Rate Monitoring (Smartwatch).
Beats per minuteMobile AppConventional Method
Baseline heart rate (HR)79.3 ± 14.478.5 ± 12.7
First drug, HRpeak123.1 ± 9.2124.1 ± 12.2
Second drug, HRpeak121.1 ± 10.9119.9 ± 13.3
Third drug, HRpeak120.4 ± 11.4117.9 ± 13.3
Fourth drug, HRpeak114.1 ± 13.5110.5 ± 13.7
Recovery (directly after the intervention, at rest in the absence of drug preparation)79.3 ± 15.076.8 ± 13.7
Maximal HRpeak126.1 ± 10.3126.0 ± 12.1
SecondaryUnified Theory of Acceptance and Use of Technology (UTAUT) Questionnaire and System Usability Score (SUS)

Unified Theory of Acceptance and Use of Technology (UTAUT): a 52-item questionnaire distributed in 8 core constructs: 1) perceived usefulness (4 items), 2) perceived ease of use (4 items), 3) task-technology fit (4 items), 4) performance expectancy (3 items), 5) impact on image (2 items), 6) personal innovativeness (3 items), 7) acceptance (3 items), and 8) behavioral intention to use the technology (3 items). Each construct 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. Min score per construct = 1, max score per construct = 5. The higher the score, the better the acceptance. System Usability Score (SUS): Comprises a 10-item questionnaire with 5 response options for each item, ranging from 1 (strongly disagree) to 5 (strongly agree). The higher the score, the better the usability (ie, 0=very poor perceived usability and 100=excellent perceived usability)

Time frame:
60 minutes
Reported as:
Mean · score on a scale
Unified Theory of Acceptance and Use of Technology (UTAUT) Questionnaire and System Usability Score (SUS)
score on a scaleArm A (Mobile Device App)
Perceived usefulness - UTAUT4.69 ± 0.44
Perceived ease of use - UTAUT4.61 ± 0.35
Task-technology fit - UTAUT4.49 ± 0.54
Performance expectancy - UTAUT4.55 ± 0.59
Impact on image - UTAUT4.74 ± 0.57
Personal innovativeness - UTAUT4.14 ± 0.58
Acceptance - UTAUT4.32 ± 0.61
Behavioral intention to use the technology - UTAUT4.81 ± 0.34
SUS89.7 ± 8.7

Adverse events

Collected over 0. Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Arm A (Mobile Device App)———
Arm B (Conventional Preparation Method)———

Baseline characteristics

Age, Continuous
Age, Continuous(years)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Mean35.7 ± 7.335.5 ± 7.135.6 ± 7.2
Sex: Female, Male
Sex: Female, Male(Participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Female262349
Male4853101
Race and Ethnicity Not Collected
Race and Ethnicity Not Collected(Participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Count of participants——0
Region of Enrollment
Region of Enrollment(participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Switzerland7476150
Proficiency in the use of smartphones or tablets (5-point Likert scale)
Proficiency in the use of smartphones or tablets (5-point Likert scale)(Participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Strongly disagree101
Disagree336
Neutral121325
Agree384886
Strongly agree201232
Time since paramedic certification (years, categorical)
Time since paramedic certification (years, categorical)(Participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
<5 years262753
5 to10 years292655
>10 years192342
Specific pediatric training (categorical)
Specific pediatric training (categorical)(Participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Yes373572
No374178
Time since last pediatric cardiopulmonary resuscitation (months, categorical)
Time since last pediatric cardiopulmonary resuscitation (months, categorical)(Participants)Arm A (Mobile Device App)Arm B (Conventional Preparation Method)Total
Never323062
≥24262854
12 to <24111122
6 to <12459
<6123

4 further baseline measures are reported on the registry.

08

Study locations

1 site
  • Geneva Emergency Medical Services (ACE Ambulances)
    Geneva, 1205, Switzerland
09

References and documents

Publications

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  • Lacour M, Bloudeau L, Combescure C, Haddad K, Hugon F, Suppan L, Rodieux F, Lovis C, Gervaix A, Ehrler F, Manzano S, Siebert JN; PedAMINES Prehospital Group. Impact of a Mobile App on Paramedics' Perceived and Physiologic Stress Response During Simulated Prehospital Pediatric Cardiopulmonary Resuscitation: Study Nested Within a Multicenter Randomized Controlled Trial. JMIR Mhealth Uhealth. 2021 Oct 7;9(10):e31748. doi: 10.2196/31748. PubMed 34617916 ↗
  • Siebert JN, Bloudeau L, Combescure C, Haddad K, Hugon F, Suppan L, Rodieux F, Lovis C, Gervaix A, Ehrler F, Manzano S; Pediatric Accurate Medication in Emergency Situations (PedAMINES) Prehospital Group. Effect of a Mobile App on Prehospital Medication Errors During Simulated Pediatric Resuscitation: A Randomized Clinical Trial. JAMA Netw Open. 2021 Aug 2;4(8):e2123007. doi: 10.1001/jamanetworkopen.2021.23007. PubMed 34459905 ↗
  • Siebert JN, Bloudeau L, Ehrler F, Combescure C, Haddad K, Hugon F, Suppan L, Rodieux F, Lovis C, Gervaix A, Manzano S. A mobile device app to reduce prehospital medication errors and time to drug preparation and delivery by emergency medical services during simulated pediatric cardiopulmonary resuscitation: study protocol of a multicenter, prospective, randomized controlled trial. Trials. 2019 Nov 20;20(1):634. doi: 10.1186/s13063-019-3726-4. PubMed 31747951 ↗

Study documents

  • Protocol and statistical analysis plan · Mar 29, 2018

Documents are hosted by the registry — open the source record to download them.

Individual participant data

Plan to share: Yes — IPD will be deidentified and the study investigators will house the data locally on secure hard disk drives at the Geneva Children's Hospital. The datasets used or analyzed during the current trial will be available from the corresponding author upon reasonable request. Only deidentified/anonymized data will be shared.

Supporting information: Study protocol

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Oct 3, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT03921346
Lead sponsor
Pediatric Clinical Research Platform
Collaborators
University Hospital, Geneva, University of Lausanne Hospitals, Schutz & Rettung Sanitat, Salva Servizio Ambulanza Locarnese e Valli, Fribourg Emergency Medical Services, Fribourg, Switzerland, Réseau Hospitalier Neuchâtelois, Morges & Aubonne Emergency Medical Services (CSUMA), Morges and Aubonne, Switzerland
Responsible party
Johan Siebert, MD (MD: Deputy Head, University Hospital, Geneva) — Principal investigator
First posted
Apr 19, 2019
Start date
Sep 3, 2019
Primary completion
Jan 31, 2020
Completion
Jan 31, 2020
Results posted
Oct 3, 2024
Last update
Oct 3, 2024

Study contacts

Johan N Siebert, MD
principal investigator · Geneva Children's Hospital, Geneva University Hospitals, Geneva, Switzerland

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jun 2024. You cannot join it, but the record below documents what was studied.

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