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Open Access Journal of Pulmonary & Respiratory Sciences Research Article 8 min read

Forgetting Curve on Basic Cardiopulmonary Resuscitation Competence in Simulation Models

Moises Natanael DlSR*, Eduardo GL, Ramón IEH, Gilberto SB, Pablo MGM and Laura REA
* Corresponding author
ISSN: 2642-1143  10.23880/oajprs-16000105  Received: November 11, 2016  Published: January 20, 2017
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Keywords
Forgetting curve Basic cardiopulmonary resuscitation Simulation models
Abstract

Introduction: Simulation model based medical education considerably improves skills on health professionals to perform high-quality cardiopulmonary resuscitation (CPR); nevertheless recent studies report low competence for CPR in latter-year students, which might be explained due to loss of skill due to the time lapse between training and actual experience. Method: This was a cohort study, performed at UADY School of Medicine’s Simulation Laboratory. 27 third-year (pre-clinical, group A) and 31 fifth-year (clinical, group B) students were included. Both groups received the same training by the same instructor during two weeks, and were periodically evaluated over a 3-month period. Results: Forgetting occurred in 40 (69%) students; 2 (7.4%) of group A by the first month, 14 (51.9%) by the second month, and 19 (70.4%) by the third month. On group B, forgetting occurred in 3 (9.7%) students by the first month, 18 (58.1%) by the second month, and 21 (67.7%) by the third month. No significant differences were found between groups (p=0.992). Conclusion: Competence for basic CPR in simulation models is lost within 3 months after training. There were no statistically significant differences between students already in clinical practice and those who have not started clinical practice.

MGM and Laura REA

Facultad de Medicina, Universidad Autonoma de Yucatan, Mexico

experience.

the same instructor during two weeks, and were periodically evaluated over a 3-month period.

(p=0.992).

practice.

Keywords: Forgetting curve; Basic cardiopulmonary resuscitation; Simulation models

Introduction

Simulation-based medical education (SBME), has progressively become an effective method to teach clinical skills in undergraduate students and health professionals [1, 2]. SBME helps students to gain confidence to perform processes in early stages of their instruction, which favors a less stressful and more productive transition to hospital practice [3]. Cardiac arrest is currently one of the main causes of death worldwide, and it is potentially reversible if timely treated [4]. Immediate delivery of high-quality basic cardiopulmonary resuscitation (BCPR) is crucial for outcome of patients on cardiac arrest. Survival rates fall circa 10% for every minute without BCPR, whilst risk of permanent brain injury substantially increases; on BCPR, fall of survival rates is limited to 4%, justifying international guidelines recommending routine training on BCPR for health professionals [5, 6]. It has been shown that practice on simulation models substantially improves skills for high-quality BCPR on health professionals [7]. In spite of this, recent studies report low competence for BCPR on medical students, which might be a consequence of skill loss due to the time lapse between training and actual experience, which can occur as soon as 3 months after training [8, 9, 10]. A possible explanation of the difficulty to perform skills learned in simulation on real patients is the time lapse until students face the opportunity to use acquired skills in a clinical scenario; this occurs in students who have not started hospital-based clinical practice. As a result of this, permanent gain of skills and patient safety might be compromised [8]. Due to the fact that every training has a time-related forgetting, and considering that BCPR skills rapidly decline, it should not be assumed that these skills will remain indefinitely, but rather it is recommended to determine the time in which these skills should be retrained [4]. The curricula for Medicine at Universidad Autónoma de Yucatán (UADY) medical school includes, in its fifth year, a two-month training on airway management and advanced cardiopulmonary resuscitation. We proposed to identify the most frequent mistakes amongst the loss of competence for BCPR and the forgetting curve on UADY medical students for BCPR on simulation models, in order to guide curricular amendments that guarantee competence in BCPR during their practice in clinical scenarios.

Methods

We performed a longitudinal, prospective, analytic observational study on two cohorts of medical students, cycle 2013-2014. Sample size was calculated with Epi-info 6.0 considering an alpha of 0.5, beta of 0.80, and a universe of 140 students, estimating a forgetting of the skills acquired via simulation of 60% in the group without hospital practice and 30% in the group with hospital practice. The minimum sample size resulted on 48 subjects with a 1:1 rate. We included 27 third-grade students (group A) and 31 fifth-grade students (group B), all of which had no previous formal training in BCPR, who voluntarily signed an informed consent, and then underwent training in BCPR in simulation models. These two groups were included to control for exposition to clinical training in a hospital scenario and experiences in CPR derived from this. Both groups received the same training by the same instructor, in order to avoid bias in learning experience. The training comprised three phases: a. Phase 1, Training: This included a review of the literature on BCPR, according to the guidelines published on 2010 by the American Heart Association (AHA) [8, 10]; then, the students had a practice session of BCPR in high-fidelity simulation models under supervision, and a debriefing afterwards.

b. Phase 2, Practice: Both groups had two weeks to practice as many times as they deemed necessary to acquire competence in BCPR. They had a debriefing after every practice.

c. Phase 3, Evaluation: After the 2 weeks of practice, each student participated in a simulated clinical scenario with a high-fidelity model, without debriefing. The performance was recorded and then evaluated with a checklist [11] by an AHA-certified Basic Life Support instructor. This procedure was repeated after one, two and three months.

d. In order to identify whether a statistically significant difference in competence on BCPR existed at different time points, we used McNemar test with a significance of 95% (p<0.05). e. For statistical analysis of the forgetting curve we performed a monthly survival analysis represented in a Kaplan-Meier curve, in which “death” represented forgetting and “survivors” were censored, meaning they did not show forgetting during the study. We compared both forgetting curves with the Log Rank test. Statistical analysis was done on SPSS Statistics® version 20.

f. This study was approved by the Graduate and Postgraduate studies committee of UADY medical school. Ethical considerations were done following the Mexican Technical Norm #313 for presentation of research projects and technical reports in health institutions. There was no conflict of interest or external financing. None of the researchers profited from this research.

Results

Between August and September 2013, 65 students were invited to participate in the research, among which 58 met eligibility criteria. Of these, 35 (60.3%) were male, and 23 (39.7%) female. Participants were then divided in 2 groups: Group A (3rd year), with 27 (46.5%), and Group B (5th year), with 31 (53.5%) medical school students. In

order to determine competence for BCPR through time, we used a Kaplan-Meier survival curve, in which, in Group A, at month 0, one student (3.7%) did not achieve competence for BCPR. Loss of competence (forgetting) was observed in 2 students (7.4%) at month 1, 14 students (51.9%) at month 2, and 19 students (70.4%) at month 3. In Group B, 31 students (100%) achieved competence at month 0, among which loss of competence was observed in 3 students (9.7%) at month 1, 18 students (58.1%) at month 2, and 21 students (67.7%) at month 3 (Table 1).

Gro upTime
(mon ths)
Sta teSurvivalNo
competence
for C PR
Competence
for CPR
EstimationTipical mistakes
A0forget0.9630.0361 (3.7%)26 (96.3%)
1forget0.9260.052 (7.4%)25 (92.6%)
2forget0.4810.09614 (51.9%)13 (48.1%)
3forget0.2960.08819 (70.4%)8 (29.6%)
B0censored0.100 (0%)31 (100%)
1forget0.9030.0533 (9.7%)28 (90.3%)
2forget0.4190.08918 (58.1%)13 (41.9%)
3forget0.3230.08421 (67.6%)10 (32.4%)

Table 1: Survival table Kaplan-Meier.

cAfter
CPR CompetenceCPR No CompetenceTotal
BeforeCPR CompetenceFrequency183957
%31.0%67.2%98.3%
CPRFrequency011
No Competence%0.0%1.7%1.7%
TotalFrequency184058
%31.0%69.0%100.0%

Table 2: Survival table Kaplan-Meier.

Figure 1: Curve forget competition for basic CPR in both groups. Finally, in order to determine abilities lost through time, we registered mistakes observed in students throughout the study; among these, the most common mistake was related to ventilation, observed in 6 (22.2%) Group A and 10 (32.3%) Group B students, followed by fail to verify pulse, observed in 5 (18.5%) Group A and 6 (19.4%) Group B students. Third most common mistake was with diagnosis of cardiac arrest, in 5 (18.5%) Group A and 5 (16.1%) of Group B students. Less common mistakes were observed in activation of emergency system and reevaluation of patients. No mistakes were observed in chest compressions.
Click to enlarge
Figure 1: Curve forget competition for basic CPR in both groups. Finally, in order to determine abilities lost through time, we registered mistakes observed in students throughout the study; among these, the most common mistake was related to ventilation, observed in 6 (22.2%) Group A and 10 (32.3%) Group B students, followed by fail to verify pulse, observed in 5 (18.5%) Group A and 6 (19.4%) Group B students. Third most common mistake was with diagnosis of cardiac arrest, in 5 (18.5%) Group A and 5 (16.1%) of Group B students. Less common mistakes were observed in activation of emergency system and reevaluation of patients. No mistakes were observed in chest compressions.

Figure1: Curve forget competition for basic CPR in both groups. Finally, in order to determine abilities lost through time, we registered mistakes observed in students throughout the study; among these, the most common mistake was related to ventilation, observed in 6 (22.2%) Group A and 10 (32.3%) Group B students, followed by fail to verify pulse, observed in 5 (18.5%) Group A and 6 (19.4%) Group B students. Third most common mistake was with diagnosis of cardiac arrest, in 5 (18.5%) Group A and 5 (16.1%) of Group B students. Less common mistakes were observed in activation of emergency system and reevaluation of patients. No mistakes were observed in chest compressions.

Discussion

Based on our findings, a 2-hour class plus a 2-hour practice session on a high-fidelity simulation model, followed by a two-week period of optional additional practice sessions is enough to achieve competence on BCPR in medical students. Avis, et al. [12] propose that reading and other passive forms of learning provide barely 20% of retention after 6 weeks, as opposed to active forms of learning, such as simulation, in which retention is as high as 60-70% after 6 weeks. Our results show retention of 45% for BCPR in simulation models at 8 weeks. Wik, et al. [13] found that the most common mistakes in BCPR are those related with ventilation and chest compressions. Our results favor that, as we found the most mistakes in ventilation; nevertheless, second to that we found fail to verify pulse. This may be due to emphasis during training on the importance of chest compressions, as established by AHA in 2010. [8] International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations published by AHA in 2010 [8, 10], suggest that competence on BCPRis lost as soon as 3 months after training. Our findings coincide with that, as we found loss of competence in most participants. The same consensus suggests that one performance challenge in real patients is the time span between learning in a simulated environment and the opportunity to perform in a clinical scenario. In this study we did not find a significant difference between those students already in clinical practice and those without it, suggesting that being in the clinical scenario does not guarantee the opportunity to practice the ability. Lofaso, et al. [14] observed that simulation-based medical education is an efficient model to improve development in fundamental clinical skills; nevertheless, including simulation in the curricula does not necessarily improve skills in students. This was also found in our study, in which, despite acquisition of competence for BCPR via a structured training, we showed competence not to be permanent. In conclusion the competence for BCPR on simulation models prevails in 31% of medical students 90 days after training. There were no statistically significant differences between students already on clinical practice and those without it. We propose that, besides having clinical practice and including BCPR training in the curricula, students should practice BCPR periodically in simulation models, at least every 3 months, to avoid forgetting competence for BCPR through time.

References

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@article{moises2017,
  title   = {Forgetting Curve on Basic Cardiopulmonary Resuscitation Competence in Simulation Models},
  author  = {Moises Natanael DlSR, Eduardo GL, Ramón IEH, Gilberto SB, Pablo MGM and Laura REA},
  journal = {Open Access Journal of Pulmonary & Respiratory Sciences},
  year    = {2017},
  volume  = {1},
  number  = {1},
  doi     = {10.23880/oajprs-16000105}
}
Moises Natanael DlSR, Eduardo GL, Ramón IEH, Gilberto SB, Pablo MGM and Laura REA (2017). Forgetting Curve on Basic Cardiopulmonary Resuscitation Competence in Simulation Models. Open Access Journal of Pulmonary & Respiratory Sciences, 1(1). https://doi.org/10.23880/oajprs-16000105
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TI  - Forgetting Curve on Basic Cardiopulmonary Resuscitation Competence in Simulation Models
AU  - Moises Natanael DlSR, Eduardo GL, Ramón IEH, Gilberto SB, Pablo MGM and Laura REA
JO  - Open Access Journal of Pulmonary & Respiratory Sciences
PY  - 2017
VL  - 1
IS  - 1
DO  - 10.23880/oajprs-16000105
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