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Skillreporter resusci anne

Manufactured by Laerdal
Sourced in Norway

The Skillreporter Resusci® Anne is a manikin designed for use in cardiopulmonary resuscitation (CPR) training. It provides feedback on the performance of CPR techniques, including chest compressions and ventilation.

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6 protocols using skillreporter resusci anne

1

Standardized Single-Rescuer CPR Assessment

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All pre- and post-intervention scenarios were performed equally in instructions and evaluation following a standardized testing protocol. The participants had no chance to see others’ performances and did not receive any feedback on their performance during the assessment.
The scenarios were always constructed to be single-rescuer CPR scenarios requiring initial assessment, breathing control, and immediate ECC in combination with mouth-to-mouth ventilation. The scenarios were terminated after 180 s. The standardized test setup consisted of a manikin dressed in a zippered jacket (Skillreporter Resusci® Anne, Laerdal, Stavanger, Norway) and placed on the floor in a supine position. Laerdal PC-Skillreporting Software (Version 1.3.0, Laerdal, Stavanger, Norway) was used for data acquisition of the ECCs. A certified ERC ALS instructor supervised the data recording.
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2

Assessing CPR Skills Retention

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Six months post-training, subjects were contacted and asked to complete a brief in-person interview where subjects’ perspectives on the training experience and perceived self-efficacy on performing CPR were captured. Subjects that lived greater than two hours away from the University of Pennsylvania were excluded from follow-up. Upon completion of the in-person interview, the subject was asked to perform a two-minute CPR skills assessment (skills test) using a CPR-recording manikin (SkillReporter ResusciAnne, Laerdal Medical, Stavanger Norway). The manikins were designed and calibrated to require consistent force to compress 50 mm. After approximately 25,000 compressions, the manikins were sent to the manufacturer for calibration testing to confirm ongoing consistency. Data from the CPR skills test were extracted from the recording software and imported into the study database for subsequent quantitative analysis.
Leading up to the six month skills assessment, the subject was not notified beforehand that they were being asked to perform a skills check (i.e. the skills test was a “surprise”), minimizing the likelihood that the subject would practice CPR skills immediately prior to the home visit. This surprise approach has been used in prior layperson resuscitation educational trials.22 (link) Subjects who fulfilled the in-person interview were given $50 compensation.
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3

Comparative analysis of CPR performance

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We measured the following baseline characteristics of participants: age, gender, height (cm), weight (kg), and body mass index. In addition, we assessed the following clinical parameters of participants: blood pressure (mmHg; before and after each type of CPR) and continuous heart rate (beats per minute). We used Skill Reporter Resusci Anne (Laerdal Medical, Stavanger, Norway) for all of the participants. Compression depth, compression rate, number of CCs per minute, and change in compression depth over time were measured to assess the CPR performance. Compression depth was divided into more than 5 cm and more than 4 cm, because the analysis of compression depth more than 4 cm would be compared with that in previous studies using the 2005 CPR guidelines. In addition, recoil failure after chest compression (rate) and hands-off time (seconds per 2 rescue breaths) were recorded. No subjective fatigue scale measurement was taken. However, we asked the participants to state, “I’m exhausted”, or to stop CPR in the event that they experienced extreme fatigue during each type of CPR. No such event occurred during this study.
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4

CPR Performance in Medical Students

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Compression data were collected in both cohorts in the CPR scenario during the emergency exercise in the students' third year of education (Table 1). Prints of the following parameters were collected for comparison from all students: compression depth (depthc), number of compression per minute (numbercm), compression rate (ratec), correct compression (correctc), and compression with incorrect hand position (inadequate). Total number of compressions was not included because all students were tested for five minutes. Only one student compressed too deeply so that parameter was not included in the study. Students were tested on Resusci® Anne SkillReporter (Laerdal Medical, Norway). Data on ventilation were not included in the study as the ventilation readings from the manikin were not correct. The knowledge test was given directly after the CPR test as a paper and pencil test.
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5

Evaluating BLS Competence with Manikins

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For the procedure, 6 standard manikins Resusci Anne (Laerdal®, Stavanger, Norway), two torsos of CPR manikins without feedback, 3 AEDs, and 6 computers with the Resusci Anne Skill Reporter (Laerdal®, Stavanger, Norway) software were used as material resources. Human resources included 6 supervisors, two of them nurses and instructors in Basic Life Support (BLS) by the Spanish Society of Intensive Medicine, Critical Care and Coronary Units (SEMICYUC), two nurses and two nursing students with specific training in CPR. All of them had performed the correct BLS sequence and had obtained a QCPR higher than 95%.
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6

Chest Compression Technique Evaluation

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Data on chest compressions were recorded with the Resusci Anne SkillReporter software (Laerdal Medical, Stavanger, Norway). For each resuscitation setting, the total number of chest compressions, mean compression depth, percentage of compression fully released, percentage of compressions deep enough, median rate of all compressions, percentage of compressions with adequate rate, compressions with correct hands position, total ventilations, and median volume were recorded. Additionally, all paramedics were asked about their subjective preference in regard to the chest compression technique they would prefer in the real-life infant CPR setting.
The demographic characteristics of the participants including age, sex, weight, and body mass index were also recorded.
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