To evaluate the influences of entrepreneurship training on the innovation potential among nursing students. A quasi-experimental design was utilized to conduct this study. The study was conducted in the classroom at the faculty of nursing, and the “iHub” center at Ain Shams University (ASU) in Cairo, Egypt. A purposive sample of 42 nursing students who participated in the “Ain Shams University-innovate” competition from the Faculty of Nursing of ASU were included in this study. Data collection tools included (1) Nursing students’ innovation skills assessment questionnaire and (2) Innovative projects evaluation tool. There was a statistically significant difference between the mean scores of nursing students’ total innovation skills pre-and post-implementation of entrepreneurship training, where P-value <0.05. The results of the current study support the research hypothesis because the implementation of entrepreneurship training positively affects nursing students’ innovation potential. Developing entrepreneurship education in nursing and integrating it into nursing programs will stimulate creativity, innovation, and entrepreneurship among nursing students and health care services.
{"title":"Entrepreneurship training: its influences on innovation potentials among nursing students","authors":"Asmaa Abdel Rahman Abdel Rahman, D. A. Abdelatief","doi":"10.2478/fon-2024-0009","DOIUrl":"https://doi.org/10.2478/fon-2024-0009","url":null,"abstract":"\u0000 \u0000 \u0000 To evaluate the influences of entrepreneurship training on the innovation potential among nursing students.\u0000 \u0000 \u0000 \u0000 A quasi-experimental design was utilized to conduct this study. The study was conducted in the classroom at the faculty of nursing, and the “iHub” center at Ain Shams University (ASU) in Cairo, Egypt. A purposive sample of 42 nursing students who participated in the “Ain Shams University-innovate” competition from the Faculty of Nursing of ASU were included in this study. Data collection tools included (1) Nursing students’ innovation skills assessment questionnaire and (2) Innovative projects evaluation tool.\u0000 \u0000 \u0000 \u0000 There was a statistically significant difference between the mean scores of nursing students’ total innovation skills pre-and post-implementation of entrepreneurship training, where P-value <0.05.\u0000 \u0000 \u0000 \u0000 The results of the current study support the research hypothesis because the implementation of entrepreneurship training positively affects nursing students’ innovation potential. Developing entrepreneurship education in nursing and integrating it into nursing programs will stimulate creativity, innovation, and entrepreneurship among nursing students and health care services.\u0000","PeriodicalId":510754,"journal":{"name":"Frontiers of Nursing","volume":"327 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140402058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
To describe discharge readiness and determine whether self-efficacy, social support, and the quality of discharge teaching can predict discharge readiness among patients with mild-to-moderate ischemic stroke. A total of 120 patients with mild-to-moderate ischemic stroke were recruited using simple random sampling. Five instruments, namely, the Demographic Data Questionnaire, the Chinese version of the Readiness for Hospital Discharge Scale (RHDS_C), the Self-Efficacy for Managing Chronic Disease 6-Item Scale (SES6), the Perceived Social Support Scale (PSSS), and the Quality of Discharge Teaching Scale (QDTS), were used for data collection. Descriptive statistics and standard multiple linear regression were used for data analysis. The mean score of discharge readiness among patients with mild-to-moderate ischemic stroke was at a moderate level (M = 7.6, SD = 0.92), and 75.8% of the participants felt ready for discharge. Standard multiple linear regression revealed that self-efficacy (β = 0.62, P < 0.001) and the quality of discharge teaching (β = 0.28, P < 0.001) were the influencing factors. However, social support could not predict discharge readiness significantly. All the factors combined explained 64.9% of the variance in discharge readiness. Intervention programs aimed at improving self-efficacy and the quality of discharge teaching may be helpful in promoting discharge readiness in patients with mild-to-moderate ischemic stroke, especially in coping ability.
{"title":"Factors influencing discharge readiness among patients with mild-to-moderate ischemic stroke: a cross-sectional study","authors":"Li-Fei Wang, Niphawan Samartkit, Khemaradee Masingboon","doi":"10.2478/fon-2024-0006","DOIUrl":"https://doi.org/10.2478/fon-2024-0006","url":null,"abstract":"\u0000 \u0000 \u0000 To describe discharge readiness and determine whether self-efficacy, social support, and the quality of discharge teaching can predict discharge readiness among patients with mild-to-moderate ischemic stroke.\u0000 \u0000 \u0000 \u0000 A total of 120 patients with mild-to-moderate ischemic stroke were recruited using simple random sampling. Five instruments, namely, the Demographic Data Questionnaire, the Chinese version of the Readiness for Hospital Discharge Scale (RHDS_C), the Self-Efficacy for Managing Chronic Disease 6-Item Scale (SES6), the Perceived Social Support Scale (PSSS), and the Quality of Discharge Teaching Scale (QDTS), were used for data collection. Descriptive statistics and standard multiple linear regression were used for data analysis.\u0000 \u0000 \u0000 \u0000 The mean score of discharge readiness among patients with mild-to-moderate ischemic stroke was at a moderate level (M = 7.6, SD = 0.92), and 75.8% of the participants felt ready for discharge. Standard multiple linear regression revealed that self-efficacy (β = 0.62, P < 0.001) and the quality of discharge teaching (β = 0.28, P < 0.001) were the influencing factors. However, social support could not predict discharge readiness significantly. All the factors combined explained 64.9% of the variance in discharge readiness.\u0000 \u0000 \u0000 \u0000 Intervention programs aimed at improving self-efficacy and the quality of discharge teaching may be helpful in promoting discharge readiness in patients with mild-to-moderate ischemic stroke, especially in coping ability.\u0000","PeriodicalId":510754,"journal":{"name":"Frontiers of Nursing","volume":"43 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140398380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patient safety is a fundamental factor in improving the quality of care provided in hospitals. Therefore, it is considered a significant parameter by all healthcare organizations around the world. The present study was conducted to investigate the attitude of nurses toward the patient safety climate during the Coronavirus Disease 2019 (COVID-19) pandemic in the southeast of Iran. This is a cross-sectional descriptive study. Among all the nurses working in one of the hospitals in the southeast of Iran, 171 nurses participated in the study through convenience sampling methods. The survey was conducted between June 1 and July 30, 2020. A 2-part questionnaire including demographic information and an assessment of nurses’ attitudes toward patients’ safety climate was used for data collection in 2021. The content validity of the scale is (0.77) and reliability was re-calculated and confirmed by the present study with Cronbach’s alpha (α = 0.9). Data were analyzed by SPSS 20 (IBM Corporation, Armonk, New York, United States) using descriptive and analytical statistical tests. The mean score of safety climates was 3.2 ± 5.20 (out of 5 scores). The results showed that among all dimensions of the safety climate, only the education dimension was statistically significant between males and females (P < 0.001). Also, there was a significant relationship between the overall average of the safety climate and its dimensions according to the people’s position only in the dimension of supervisors’ attitude (P < 0.01) and burnout (P < 0.01). Additionally, a significant correlation between the education level and the overall score of safety climate (P < 0.01), as well as the supervisor’s attitude dimension (P < 0.01), was observed. The results showed that the safety climate was at a relatively favorable level. Considering the impact of nurses’ attitudes on the safety climate of patients, its improvement seems necessary. It is recommended to design training courses and educate nurses in order to promote a patients safety climate in hospitals.
{"title":"Nurses’ attitude toward patients’ safety climate during COVID-19 pandemic: a cross-sectional study†","authors":"A. Nassehi, Kobra Ghorbanzadeh, Somaye Moayedi, Javad Jafari, Parvin Mahmoodi, Mojtaba Jafari","doi":"10.2478/fon-2024-0004","DOIUrl":"https://doi.org/10.2478/fon-2024-0004","url":null,"abstract":"\u0000 \u0000 \u0000 Patient safety is a fundamental factor in improving the quality of care provided in hospitals. Therefore, it is considered a significant parameter by all healthcare organizations around the world. The present study was conducted to investigate the attitude of nurses toward the patient safety climate during the Coronavirus Disease 2019 (COVID-19) pandemic in the southeast of Iran.\u0000 \u0000 \u0000 \u0000 This is a cross-sectional descriptive study. Among all the nurses working in one of the hospitals in the southeast of Iran, 171 nurses participated in the study through convenience sampling methods. The survey was conducted between June 1 and July 30, 2020. A 2-part questionnaire including demographic information and an assessment of nurses’ attitudes toward patients’ safety climate was used for data collection in 2021. The content validity of the scale is (0.77) and reliability was re-calculated and confirmed by the present study with Cronbach’s alpha (α = 0.9). Data were analyzed by SPSS 20 (IBM Corporation, Armonk, New York, United States) using descriptive and analytical statistical tests.\u0000 \u0000 \u0000 \u0000 The mean score of safety climates was 3.2 ± 5.20 (out of 5 scores). The results showed that among all dimensions of the safety climate, only the education dimension was statistically significant between males and females (P < 0.001). Also, there was a significant relationship between the overall average of the safety climate and its dimensions according to the people’s position only in the dimension of supervisors’ attitude (P < 0.01) and burnout (P < 0.01). Additionally, a significant correlation between the education level and the overall score of safety climate (P < 0.01), as well as the supervisor’s attitude dimension (P < 0.01), was observed.\u0000 \u0000 \u0000 \u0000 The results showed that the safety climate was at a relatively favorable level. Considering the impact of nurses’ attitudes on the safety climate of patients, its improvement seems necessary. It is recommended to design training courses and educate nurses in order to promote a patients safety climate in hospitals.\u0000","PeriodicalId":510754,"journal":{"name":"Frontiers of Nursing","volume":"14 s1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140399340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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