<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE trials [
<!ELEMENT trials (trial+)>

<!ELEMENT trial (main,contacts,countries,criteria,health_condition_code,health_condition_keyword,intervention_code,
          intervention_keyword,primary_outcome,secondary_outcome,secondary_sponsor,secondary_ids,source_support,ethics_reviews)>

<!ELEMENT main (trial_id,utrn?,reg_name,date_registration,primary_sponsor,public_title,acronym?,scientific_title,scientific_acronym?,
          date_enrolment,type_enrolment,target_size,recruitment_status,url?,study_type,study_design,phase,hc_freetext?,i_freetext?,results_actual_enrolment,results_date_completed,results_url_link,results_summary,           results_date_posted,results_date_first_publication,results_baseline_char,results_participant_flow,results_adverse_events,results_outcome_measures,results_url_protocol,results_IPD_plan, results_IPD_description)>
<!ELEMENT trial_id (#PCDATA)>
<!ELEMENT utrn (#PCDATA)>
<!ELEMENT reg_name (#PCDATA)>
<!ELEMENT date_registration (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT primary_sponsor (#PCDATA)>
<!ELEMENT public_title (#PCDATA)>
<!ELEMENT acronym (#PCDATA)>
<!ELEMENT scientific_title (#PCDATA)>
<!ELEMENT scientific_acronym (#PCDATA)>
<!ELEMENT date_enrolment (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT type_enrolment (#PCDATA)>
<!ELEMENT target_size (#PCDATA)>
<!ELEMENT recruitment_status (#PCDATA)><!-- Pending,Recruiting,Suspended,Complete,Other -->
<!ELEMENT url (#PCDATA)>
<!ELEMENT study_type (#PCDATA)><!-- interventional,observational -->
<!ELEMENT study_design (#PCDATA)>
<!ELEMENT phase (#PCDATA)>
<!ELEMENT hc_freetext (#PCDATA)>
<!ELEMENT i_freetext (#PCDATA)>
<!ELEMENT results_actual_enrolment (#PCDATA)>
<!ELEMENT results_date_completed (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_url_link (#PCDATA)>
<!ELEMENT results_summary (#PCDATA)>
<!ELEMENT results_date_posted (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_date_first_publication (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT results_baseline_char (#PCDATA)>
<!ELEMENT results_participant_flow (#PCDATA)>
<!ELEMENT results_adverse_events (#PCDATA)>
<!ELEMENT results_outcome_measures (#PCDATA)>
<!ELEMENT results_url_protocol (#PCDATA)>
<!ELEMENT results_IPD_plan (#PCDATA)>
<!ELEMENT results_IPD_description (#PCDATA)>


<!ELEMENT contacts (contact+)>
<!ELEMENT contact (type,firstname,middlename,lastname,address,city,country1,zip,telephone,email,affiliation)>
<!ELEMENT type (#PCDATA)><!-- Public,Scientific -->
<!ELEMENT firstname (#PCDATA)>
<!ELEMENT middlename (#PCDATA)>
<!ELEMENT lastname (#PCDATA)>
<!ELEMENT address (#PCDATA)>
<!ELEMENT city (#PCDATA)>
<!ELEMENT country1 (#PCDATA)>
<!ELEMENT zip (#PCDATA)>
<!ELEMENT telephone (#PCDATA)>
<!ELEMENT email (#PCDATA)>
<!ELEMENT affiliation (#PCDATA)>

<!ELEMENT countries (country2+)>
<!ELEMENT country2 (#PCDATA)>

<!ELEMENT criteria (inclusion_criteria,agemin,agemax,gender,exclusion_criteria)>
<!ELEMENT inclusion_criteria (#PCDATA)>
<!ELEMENT agemin (#PCDATA)>
<!ELEMENT agemax (#PCDATA)>
<!ELEMENT gender (#PCDATA)>
<!ELEMENT exclusion_criteria (#PCDATA)>

<!ELEMENT health_condition_code (hc_code+)>
<!ELEMENT hc_code (#PCDATA)>

<!ELEMENT health_condition_keyword (hc_keyword+)>
<!ELEMENT hc_keyword (#PCDATA)>

<!ELEMENT intervention_code (i_code+)>
<!ELEMENT i_code (#PCDATA)>

<!ELEMENT intervention_keyword (i_keyword+)>
<!ELEMENT i_keyword (#PCDATA)>

<!ELEMENT primary_outcome (prim_outcome+)>
<!ELEMENT prim_outcome (#PCDATA)>

<!ELEMENT secondary_outcome (sec_outcome+)>
<!ELEMENT sec_outcome (#PCDATA)>

<!ELEMENT secondary_sponsor (sponsor_name+)>
<!ELEMENT sponsor_name (#PCDATA)>

<!ELEMENT secondary_ids (secondary_id+)>
<!ELEMENT secondary_id (sec_id,issuing_authority)>
<!ELEMENT sec_id (#PCDATA)>
<!ELEMENT issuing_authority (#PCDATA)>

<!ELEMENT source_support (source_name+)>
<!ELEMENT source_name (#PCDATA)>

<!ELEMENT ethics_reviews (ethics_review+)>
<!ELEMENT ethics_review (status,approval_date,contact_name,contact_address,contact_phone,contact_email)>
<!ELEMENT status (#PCDATA)><!-- Not approved,Approved,NA -->
<!ELEMENT approval_date (#PCDATA)><!-- dd/mm/yyyy -->
<!ELEMENT contact_name (#PCDATA)>
<!ELEMENT contact_address (#PCDATA)>
<!ELEMENT contact_phone (#PCDATA)>
<!ELEMENT contact_email (#PCDATA)>
]>
<trials>
  <trial>
    <main>
      <trial_id>IRCT20260602069618N1</trial_id>
      <utrn></utrn>
      <reg_name>IRCT</reg_name>
      <date_registration>2026-06-14</date_registration>
      <primary_sponsor>Rasht University of Medical Sciences</primary_sponsor>
      <public_title>Effect of Virtual Reality-Based (VR) Training on Knowledge and Clinical Performance of Cardiopulmonary Resuscitation</public_title>
      <acronym></acronym>
      <scientific_title>The Effect of Virtual Reality-Based (VR) Training on Knowledge and Clinical Performance of Cardiopulmonary Resuscitation among Nursing Students: A Randomized Controlled Trial</scientific_title>
      <scientific_acronym></scientific_acronym>
      <date_enrolment>2026-06-23</date_enrolment>
      <type_enrolment>anticipated</type_enrolment>
      <target_size>38</target_size>
      <recruitment_status>Complete</recruitment_status>
      <url>https://irct.ir/trial/90619</url>
      <study_type>interventional</study_type>
      <study_design>Randomization: Randomized, Blinding: Not blinded, Placebo: Not used, Assignment: Parallel, Purpose: Education/Guidance, Other design features: A Randomized Controlled Trial, Randomization description: All eligible nursing students will be allocated equally (1:1 ratio) to the traditional and virtual reality-based training groups using block randomization with block sizes of 4 and 6. The randomization sequence will be generated using the online randomization service Sealed Envelope Ltd. The students will be unaware of their group allocation.</study_design>
      <phase>N/A</phase>
      <hc_freetext>Knowledge and clinical performance of cardiopulmonary resuscitation among nursing students.</hc_freetext>
      <i_freetext>Intervention 1: Control group: Cardiopulmonary resuscitation (CPR) training based on the 2025 American Heart Association guidelines will be delivered using the traditional method, including lectures with PowerPoint presentations and hands-on demonstrations on a manikin. The training will be conducted over two 2-hour sessions, followed by one 90-minute supervised practical practice session in which students perform CPR procedures on a manikin under instructor supervision. Intervention 2: Intervention group: Cardiopulmonary resuscitation (CPR) training will be delivered using virtual reality (VR) technology. The educational program provides an interactive and intelligent simulation of the key steps of CPR, including scene safety assessment, evaluation of the patient's level of consciousness, activation of emergency medical services, assessment of pulse and breathing, identification of the correct chest compression site, evaluation of compression rate, depth (shallow, adequate, or excessive), rhythm, and chest recoil, airway opening using the Head Tilt–Chin Lift maneuver, performance of five cycles of 30:2 compressions-to-ventilations, and training in the use of an automated external defibrillator (AED).Participants will use equipment developed by Aras Mixed Reality, a knowledge-based company, including a virtual reality headset, VR-compatible computers, motion-tracking sensors, a CPR training manikin, and microcontroller-based processing units. The system consists of two components: training and assessment. For the assessment phase, four different simulated environments (street, classroom, shopping mall, and mosque) have been designed to enable participants to practice and evaluate their skills under a variety of environmental and psychological conditions, including situational stress. In each environment, a distinct cardiac arrest scenario is presented. For example, one scenario involves cardiac arrest following cigarette smoking, another following electrocution, and a third with no apparent cause. Participants are required to perform CPR according to the 2025 American Heart Association (AHA) Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. This VR simulator incorporates several advanced technologies, including alignment of the physical manikin with its virtual counterpart through augmented reality technology, detection of hand, finger, and pulse assessment movements using image-processing techniques, and the ability to palpate the chest, assess pulse, and perceive breathing through mixed reality technology. During chest compressions, the extent of chest depression is visually displayed, allowing participants to practice achieving the recommended compression depth of 5–6 cm accurately. In addition, environmental stressors are simulated through virtual characters exhibiting behaviors such as shouting, crying, and creating panic, thereby enabling participants to develop the skills necessary to perform CPR effectively in realistic and stressful situations. Each participant will use the VR system for a total of 12 minutes per session, including both training and assessment. Based on the sample size, completion of one full training round requires approximately 4 hours. Each participant will undergo the training process twice; therefore, the total intervention time for the intervention group will be approximately 8 hours. The intervention will be implemented in four sessions, each lasting 2 hours.</i_freetext>
      <results_actual_enrolment></results_actual_enrolment>
      <results_date_completed></results_date_completed>
      <results_url_link></results_url_link>
      <results_summary></results_summary>
      <results_date_posted></results_date_posted>
      <results_date_first_publication></results_date_first_publication>
      <results_baseline_char></results_baseline_char>
      <results_participant_flow></results_participant_flow>
      <results_adverse_events></results_adverse_events>
      <results_outcome_measures></results_outcome_measures>
      <results_url_protocol></results_url_protocol>
      <results_IPD_plan>Undecided - It is not yet known if there will be a plan to make this available</results_IPD_plan>
      <results_IPD_description>Justification or reason for indecision in sharing IPD is The decision regarding sharing de-identified individual participant data (IPD) has not yet been finalized. Data sharing will be considered after completion of the study, publication of the primary results, and review of ethical, institutional, and participant confidentiality requirements.</results_IPD_description>
    </main>
    <contacts>
      <contact>
        <type>public</type>
        <firstname>Saba Jahani</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Saba Apartment, Corner of Ghasabian 22/1 Alley, Shahid Ghasabian St.</address>
        <city>Babolsar</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>4741755096</zip>
        <telephone>+98 11 3525 1319</telephone>
        <email>sabajahani70@gmail.com</email>
        <affiliation>Rasht University of Medical Sciences</affiliation>
      </contact>
      <contact>
        <type>scientific</type>
        <firstname>Marzieh Jahani</firstname>
        <middlename></middlename>
        <lastname></lastname>
        <address>Shahid Beheshti School of Nursing and Midwifery, Daneshjoo St., Shahid Beheshti Highway.</address>
        <city>Rasht</city>
        <country1>Iran (Islamic Republic of)</country1>
        <zip>41469-39814</zip>
        <telephone>+98 13 3255 3202</telephone>
        <email>marziyeh_jahani@gums.ac.ir</email>
        <affiliation>Rasht University of Medical Sciences</affiliation>
      </contact>
    </contacts>
    <countries>
      <country2>Iran (Islamic Republic of)</country2>
    </countries>
    <criteria>
      <inclusion_criteria>Sixth-semester students who provide informed consent to participate in the study.
No previous participation in virtual reality-based cardiopulmonary resuscitation (CPR) training before the study.</inclusion_criteria>
      <agemin>no limit</agemin>
      <agemax>no limit</agemax>
      <gender>Both</gender>
      <exclusion_criteria>Students who have previously taken this course with an incomplete grade.</exclusion_criteria>
    </criteria>
    <health_condition_code>
      <hc_code></hc_code>
    </health_condition_code>
    <health_condition_keyword>
      <hc_keyword></hc_keyword>
    </health_condition_keyword>
    <intervention_code>
      <i_code>Other</i_code>
      <i_code>Other</i_code>
    </intervention_code>
    <intervention_keyword>
      <i_keyword>Control group: Cardiopulmonary resuscitation (CPR) training based on the 2025 American Heart Association guidelines will be delivered using the traditional method, including lectures with PowerPoint presentations and hands-on demonstrations on a manikin. The training will be conducted over two 2-hour sessions, followed by one 90-minute supervised practical practice session in which students perform CPR procedures on a manikin under instructor supervision.</i_keyword>
      <i_keyword>Intervention group: Cardiopulmonary resuscitation (CPR) training will be delivered using virtual reality (VR) technology. The educational program provides an interactive and intelligent simulation of the key steps of CPR, including scene safety assessment, evaluation of the patient's level of consciousness, activation of emergency medical services, assessment of pulse and breathing, identification of the correct chest compression site, evaluation of compression rate, depth (shallow, adequate, or excessive), rhythm, and chest recoil, airway opening using the Head Tilt–Chin Lift maneuver, performance of five cycles of 30:2 compressions-to-ventilations, and training in the use of an automated external defibrillator (AED).Participants will use equipment developed by Aras Mixed Reality, a knowledge-based company, including a virtual reality headset, VR-compatible computers, motion-tracking sensors, a CPR training manikin, and microcontroller-based processing units. The system consists of two components: training and assessment. For the assessment phase, four different simulated environments (street, classroom, shopping mall, and mosque) have been designed to enable participants to practice and evaluate their skills under a variety of environmental and psychological conditions, including situational stress. In each environment, a distinct cardiac arrest scenario is presented. For example, one scenario involves cardiac arrest following cigarette smoking, another following electrocution, and a third with no apparent cause. Participants are required to perform CPR according to the 2025 American Heart Association (AHA) Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. This VR simulator incorporates several advanced technologies, including alignment of the physical manikin with its virtual counterpart through augmented reality technology, detection of hand, finger, and pulse assessment movements using image-processing techniques, and the ability to palpate the chest, assess pulse, and perceive breathing through mixed reality technology. During chest compressions, the extent of chest depression is visually displayed, allowing participants to practice achieving the recommended compression depth of 5–6 cm accurately. In addition, environmental stressors are simulated through virtual characters exhibiting behaviors such as shouting, crying, and creating panic, thereby enabling participants to develop the skills necessary to perform CPR effectively in realistic and stressful situations. Each participant will use the VR system for a total of 12 minutes per session, including both training and assessment. Based on the sample size, completion of one full training round requires approximately 4 hours. Each participant will undergo the training process twice; therefore, the total intervention time for the intervention group will be approximately 8 hours. The intervention will be implemented in four sessions, each lasting 2 hours.</i_keyword>
    </intervention_keyword>
    <primary_outcome>
      <prim_outcome>Knowledge score of cardiopulmonary resuscitation. Timepoint: before the intervention and 4 weeks after the intervention. Method of measurement: G. Spinelli's cardiopulmonary resuscitation knowledge questionnaire.</prim_outcome>
      <prim_outcome>Clinical performance score of cardiopulmonary resuscitation. Timepoint: before the intervention and 4 weeks after the intervention. Method of measurement: Observational checklist for cardiopulmonary resuscitation performance.</prim_outcome>
    </primary_outcome>
    <secondary_outcome>
      <sec_outcome></sec_outcome>
    </secondary_outcome>
    <secondary_sponsor>
      <sponsor_name></sponsor_name>
    </secondary_sponsor>
    <secondary_ids>
      <secondary_id>
        <sec_id></sec_id>
        <issuing_authority></issuing_authority>
      </secondary_id>
    </secondary_ids>
    <source_support>
      <source_name>Rasht University of Medical Sciences</source_name>
    </source_support>
    <ethics_reviews>
      <ethics_review>
        <status>Approved</status>
        <approval_date>2026-05-13</approval_date>
        <contact_name>Ethics committee of Gilan University of Medical Sciences</contact_name>
        <contact_address>Shahid Beheshti School of Nursing and Midwifery, Daneshjoo St., Shahid Beheshti Blvd. Rasht Guilan Iran (Islamic Republic of)</contact_address>
        <contact_phone></contact_phone>
        <contact_email></contact_email>
      </ethics_review>
    </ethics_reviews>
  </trial>
</trials>
