Factors Influencing Self-Confidence and Willingness to Perform Cardiopulmonary Resuscitation among Working Adults—A Quasi-Experimental Study in a Training Environment

Abstract

Background: There is a potential relationship between the self-confidence and the willingness of bystanders to undertake resuscitation (CPR) and its training. The current guidelines increasingly focus on both the importance of the human factor and the fact that training programs should increase the willingness of bystanders to undertake resuscitation, which may have a direct impact on improving survival in out-of-hospital cardiac arrest (OHCA). Aim: The objective of the study was to analyze factors influencing the assessment of own skills crucial in basic life support (BLS) and the willingness to provide CPR to individual victims. Methods: A pre-test and post-test quasi-experimental design was used in this study. The data was collected from 4 December 2019 to 3 October 2020 in workplaces, during instructor-led BLS courses. Each intervention (training) consisted of a theoretical and a practical part. The program was focused both on the skills and the human factor. Results: Comparison of pre-test and post-test data concerning self-confidence scores of the ability to recognize OHCA among 967 participants demonstrated a significant difference (respectively, Me = 2.2, IQR [2–3] vs. Me = 3.4, IQR [3–4]; p = 0.000). Additionally, self-assessment scores for the ability to perform proper chest compressions between pre-test and post-test also differed significantly (respectively Me = 2.3, IQR [2–3] vs. Me = 3.3, IQR [3–4]; p = 0.000). A highly significant difference was found in the likelihood of changing the decision in favor of the willingness to undertake CPR for all types of victims, with the greatest difference found in relation to the willingness to conduct resuscitation on strangers (OR = 7.67, 95% CI 5.01–11.73; p < 0.01). Conclusions: Completing hands-on training has a highly significant, beneficial effect on the readiness to undertake resuscitation for all types of victims, strangers in particular. Training programs should place particular emphasis on developing readiness to undertake resuscitation for both those who have never been trained and those who had their last training more than one year ago.

Willingness and Barriers to Undertaking Cardiopulmonary Resuscitation Reported by Medical Students after the SARS-CoV-2 Pandemic—Single-Center Study

“…However, in the case of strangers and children potentially requiring resuscitation, the willingness to perform CPR reported by the respondents was much lower. However, in relation to all types of victims, the results are higher than those in other studies conducted in various populations or an analysis conducted among nearly a thousand working adults in Poland at the turn of 2019 and 2020 [27,32,33].…”

“…Its essence would be to build a bridge allowing a person witnessing SCA to move to the point where he or she is able to undertake effective resuscitation based on prior recognition of cardiac arrest. This bridge concept is built of bricks that are the result of scientific research and recommendations [7][8][9][10][11][12][13][16][17][18][19][20][21][22][23][24][33][34][35][36][37][38][39]. These bricks may have a different quality and may be replaced or rebuilt as new variables appear over time.…”

Comparison of self-efficacy in cardiopulmonary resuscitation position by a single rescue: over-the-head or lateral position?

“…Performance fulfillment can affect a person's actions in doing something. In addition, the material and simulations provided are easy to understand and practice directly by respondents which can increase respondents' self-efficacy [32], [33].…”

Models of binary classification of the semantic colouring of texts

“…The key idea behind their approach is to exploit the bidirectional nature of LSTM to capture both sequential dependencies in text and contextual information from both areas. By integrating the bidirectional LSTM with a two-dimensional maximal pooling, the model can extract important features from the text representation while preserving the spatial relations between words (31)(32)(33)(34) . The study by P. Zhou et al (30) can complement the main study by providing valuable information on various aspects of text classification using neural networks.…”