Background Electrocardiogram (ECG) interpretation is a core clinical skill that helps to rapid diagnosis of potentially life-threatening diseases. Misinterpretation of the electrocardiogram can lead to inappropriate clinical decisions with adverse outcomes. The main aim of this survey was to assess the competency of electrocardiogram interpretation and related factors among healthcare professionals and students of Ardabil University of Medical Sciences. Methods This descriptive cross-sectional study included 323 staff and students of Ardabil University of Medical Sciences in northwestern Iran. Data were collected randomly from November to January 1400 using the Badell-Coll ECG Interpretation Competency Questionnaire and analyzed using SPSS V.14. Statistical analysis included descriptive statistics, independent t-test, ANOVA, Pearson correlation coefficient and multiple linear regression. Results The results showed that the mean and standard deviation of electrocardiogram interpretation competency of health professional staff and students was 5.13 ± 2.25 (maximum score = 10). The large number of participants wasn’t able to identify normal sinus rhythm (n = 251, 77.3%), acute myocardial infarction (n = 206, 63.8%) and pathological Q waves (n = 201, 62.2%). The results of multiple linear regression showed that the variables of education level, self-assessment of electrocardiogram interpretation competence, work experience, and type of hospital were able to predict the competence of ECG interpretation in participants. Conclusions Our findings showed that the participants’ level of electrocardiogram interpretation competency was low. Hence, regular, standard training and education are recommended. Also, managers and educators of the health system should consider the role of positive self-assessment and exposure to ECG interpretation in improving the competence of staff and students to interpret ECG.
Background Hospital and pre-hospital emergency nurses are at the forefront of disaster response. Disaster incidents continue to pose a threat to healthcare systems by exposing them to an overwhelming surge of patients. Methods This descriptive cross-sectional study was performed on 472 hospital and pre-hospital emergency nurses in Ardabil province, in the northwest Iran, from March to April 2021, were recruited by convenience sampling method. Data were collected using valid and reliable self-reported questionnaires, including the Emergency Preparedness Information questionnaire (EPIQ) and Triage Decision-making Inventory (TDMI). Data were analyzed using SPSS (Version 22) software using descriptive statistics, Pearson correlation coefficient test, t-test, ANOVA test, and multiple linear regression analysis. Results Emergency nurses’ disaster preparedness knowledge was low according to the mean score of total disaster preparedness knowledge. Furthermore, multiple linear regression analysis showed triage decision-making, age, residence, disaster preparedness training, working on duty during a disaster, and training organization variables were predictors of disaster preparedness knowledge in hospital and pre-hospital emergency nurses (p < 0.05). Conclusion Emergency nurses who have higher disaster preparedness knowledge have higher triage decision-making skills. It is suggested that the managers of educational and medical centres and professional organizations provide favourable conditions for training and increasing disaster preparedness of emergency nurses according to their age and residence.
The COVID-19 pandemic has considerably changed the workplace and social relationships of nurses. As potential factors, uncertainty, stigma, and exposure of nurses' families to risk have disturbed the process of providing healthcare services for patients infected by COVID-19. Accordingly, this study aimed at determining the impact of psychological factors on stigma among frontline nurses fighting COVID-19. The extant paper was carried out based on the descriptive-analytical method for April-June 2020. A total of 312 nurses working in educational-medical centers in Ardabil, Iran, were selected using the census method to participate in this research. To collect data, demographic features, stigma, mental health, perceived stress, and hardiness questionnaires were used. The collected data were analyzed using statistical correlation tests, multivariate regression, and descriptive tests through SPSS v.22 Software. The mean score of stigma in nurses equaled 28.36 ± 10.55. Results of the correlation coefficient showed a positive relationship between the mean score of stigma and stress (P ≤ 0.01) as well as the negative relationship between mental health and hardiness (P ≤ 0.01). Multivariate regression analysis indicated that mental health could be the predictor of stigma. Therefore, these factors should be identified and controlled to mitigate stigma under such critical circumstances.
Introduction Emergency department (ED) nurses and emergency medical technicians (EMTs) find themselves performing triage under time pressure and with limited information. Identifying an effective triage decision-making process can play a significant role in promoting patient safety. Experts are able to make faster and more effective decisions in emergencies than novices. Objective The current study aimed to identify the level of triage decision-making (TDM) and its’ predictors in ED nurses and EMTs based on self-reported levels of nursing proficiency in Benner’s theory from novice to expert. Materials and methods Out of 821 ED nurses and EMTs who met the inclusion criteria, 320 ED nurses and 152 EMTs were included in this descriptive-analytical research. Data were collected by a demographic information form and triage decision-making inventory (TDMI) and analyzed by SPSSv.22 software using descriptive statistics, Pearson correlation test, t-test, ANOVA, and multiple linear regression. Results The total score of TDMI in the ED nurses and EMTs was higher in the expert nurses than in the proficient, competent, advanced beginner and novices. Multiple linear regression analysis showed that self-reported levels of nursing proficiency, age, work experience, marital status and triage training course were predictors of TDM in ED nurses (P < .05), and self-reported levels of nursing proficiency, service location, work experience, and triage training course were predictors of TDM in EMTs (P < .05). Conclusion Understanding the predictors influencing TDM health professionals may facilitate the understanding of their training needs. The training needs of a novice and inexperienced person may be different from those of an expert person, it is recommended that the training methods be based on the experiences and professional levels of nurses so that the training provided is effective and quality. Moreover, to increase the TDM power and reduce TDM errors due to lack of experience, a system is suggested to be established to allow novice nurses in the first year to work with experienced nurses. Also it is suggested that the determining educational and training focus with regards to triage before entering the bedside be done based on predictors.
Objective: Hospital and pre-hospital emergency nurses are at the forefront of disaster response. This study was conducted to determine the level of "disaster preparedness knowledge" and its relationship with "triage decision-making" among hospital and pre-hospital emergency nurses in Ardabil province.Methods: A descriptive cross-sectional study was performed on 472 hospital and pre-hospital emergency nurses in Ardabil Province in the northwest of Iran, using a convenience sampling method. Data were collected using valid and reliable self-reported questionnaires, including the "Emergency Preparedness Information questionnaire" and "Triage Decision-making inventory". Results: Multiple linear regression analysis showed; triage decision-making, age, city of residence, training in disaster preparedness, Working on duty during a disaster, and training organization variables as predictors of disaster preparedness knowledge in hospital and pre-hospital emergency nurses (p<0.05).Conclusion: Hospital and pre-hospital emergency nurses who have higher disaster preparedness knowledge, have higher triage decision-making skills. It is suggested that the managers of educational and medical centres and professional organizations provide conditions for training and increasing disaster preparedness of Hospital and pre-hospital emergency nurses according to their age and place of residence.
Introduction: Emergency department (ED) nurses and emergency medical technicians (EMTs) find themselves performing triage under time pressure and with limited information. Identifying an effective triage decision-making process can play a significant role in promoting patient safety. Experts are able to make faster and more effective decisions in emergencies than novices.Objective: The current study aimed to identify the level of triage decision-making (TDM) and its' predictors in ED nurses and EMTs based on self-reported levels of nursing proficiency in Benner's theory from novice to expert.Materials and methods: Out of 821 ED nurses and EMTs who met the inclusion criteria, 320 ED nurses and 152 EMTs were included in this descriptive-analytical research. Data were collected by a demographic information form and triage decision-making inventory (TDMI) and analyzed by SPSSv.22 software using descriptive statistics, Pearson correlation test, t-test, ANOVA, and multiple linear regression.Results: The total TDMI score was higher in EMTs than in ED nurses. The total score of TDMI in the ED nurses and EMTs was higher in the expert nurses than in the novices. Multiple linear regression analysis showed that self-reported levels of nursing proficiency, age, work experience, marital status and triage training course were predictors of TDM in ED nurses (P < 0.05), and self-reported levels of nursing proficiency, service location, work experience, marital status and triage training course were predictors of TDM in EMTs (P < 0.05).Conclusion: The findings indicate the need to strengthen TDM skills in ED nurses compared to EMTs. Training programs are recommended to strengthen TDM skills with special attention to its predictors (self-reported levels of nursing proficiency, age, work experience, marital status, triage training course, and service location).
BackgroundElectrocardiogram (ECG) interpretation is a core clinical skill that helps to rapid diagnosis of potentially life-threatening diseases. Misinterpretation of the electrocardiogram can lead to inappropriate clinical decisions with adverse outcomes. The main aim of this survey was to assess the competency of electrocardiogram interpretation and related factors among Health Professional staff and Students of Ardabil University of Medical Sciences. MethodsThis descriptive cross-sectional study included 323 staff and students of Ardabil University of Medical Sciences in northwestern Iran. Data were collected randomly from November to January 1400 using the Badell-Coll ECG Interpretation Competency Questionnaire and analyzed using SPSS V.14. Statistical analysis included descriptive statistics, independent t-test, ANOVA, Pearson correlation coefficient and multiple linear regression.ResultsThe results showed that the mean and standard deviation of electrocardiogram interpretation competency of health professional staff and students was 5.13 ± 2.25 (maximum score = 10). The large number of participants wasn't able to identify normal sinus rhythm (n = 251, 77.3%), acute myocardial infarction (n = 206, 63.8%) and pathological Q (n = 201, 62.2%). The results of multiple linear regression showed that the variables of education level, self-assessment of electrocardiogram interpretation competence, work experience, and type of hospital were able to predict the competence of ECG interpretation in participants.ConclusionsOur findings showed that the participants' level of electrocardiogram interpretation competency was low. Hence, regular, standard training and education are recommended. Also, managers and educators of the health system should consider the role of positive self-assessment and exposure to ECG interpretation in improving the competence of staff and students to interpret ECG.
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