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1.
Nurs Open ; 10(8): 5521-5530, 2023 08.
Article in English | MEDLINE | ID: mdl-37118897

ABSTRACT

AIMS: To investigate the association between professionalism and social media competence among Chinese mainland nursing undergraduates. DESIGN: This study employed a cross-sectional descriptive correlation design. PARTICIPANTS: From June to July 2021, 797 nursing students from four nursing colleges in Jiangsu Province, China, were chosen using stratified cluster sampling. METHODS: The questionnaire included the Chinese version of the Nursing Professionalism Scale and the Social Media Competency Scale. The association between professionalism and social media competency was examined using Pearson's correlation analysis. RESULTS: The professionalism of nursing undergraduates (average scores:70.44 ± 8.82) was at a medium level. Social media self-efficacy, performance expectancy, facilitating conditions and social influence (3.76 ± 0.75, 3.87 ± 0.60, 3.53 ± 0.69, 3.41 ± 0.76) were at a medium-high level, while social media experience and effort expectancy (3.03 ± 0.72, 2.60 ± 0.59) were at medium and low levels. Among nursing undergraduates, professionalism was related to social media competence, among which, professionalism was positively correlated with social media self-efficacy (r = 0.40, p < 0.01), social media experience (r = 0.50, p < 0.01), performance expectancy (r = 0.34, p < 0.01), facilitating conditions (r = 0.41, p < 0.01), but negatively correlated with effort expectancy (r = -0.10, p < 0.01). CONCLUSION: The professionalism of nursing undergraduates is related to social media. The scores of social media self-efficacy, social media experience, performance expectancy and facilitating conditions of nursing students with high professionalism were higher than those of nursing students with low professionalism. IMPACT: This study suggests that developing a course on health communication on social media can help nursing students improve their professionalism. PATIENT OR PUBLIC CONTRIBUTION: Participants completed a survey via the online survey platform Wenjuangxing.


Subject(s)
Health Communication , Professionalism , Humans , Cross-Sectional Studies , Self Efficacy , Surveys and Questionnaires
2.
Front Public Health ; 10: 1030887, 2022.
Article in English | MEDLINE | ID: mdl-36388375

ABSTRACT

Background: With the popularization of the Internet, it has become possible to widely disseminate health information via social media. Medical staff's health communication through social media can improve the public's health literacy, and improving the intention of health communication among nursing undergraduates is of great significance for them to actively carry out health communication after entering clinical practice. Objective: To explore the relationship among eHealth literacy, social media self-efficacy, and health communication intention and to determine the mediating role of social media self-efficacy in the relationship between eHealth literacy and health communication intention. Design: A cross-sectional descriptive correlation design was used in this study. Participants: Stratified cluster sampling was used to select 958 nursing students from four nursing colleges in Jiangsu Province, China, from June to July 2021. Methods: Data were collected using the eHealth Literacy Scale, the Social Media Self-efficacy Scale, and the Health Communication Intention Questionnaire. Sociodemographic data were also collected. Correlation analysis and regression analysis were used to determine the relationship between eHealth literacy, social media self-efficacy, and health communication intention. Results: Health communication intention is positively correlated with eHealth literacy and social media self-efficacy. There is a significant positive correlation between eHealth literacy and health communication intention (ß = 0.57, p < 0.001), and social media self-efficacy played a mediating role in the influence of eHealth literacy on health communication intention (the mediating effect accounted for 37.2% of the total effect). Conclusion: The study found that eHealth literacy and social media self-efficacy had an impact on health communication intention. Because there is a correlation between eHealth literacy and social media self-efficacy and health communication intention, in order to promote health communication intention of nursing students, it is also important to cultivate eHealth literacy and social media self-efficacy of nursing students. In view of these results, targeted educational programs must be developed to improve eHealth literacy and social media self-efficacy among nursing undergraduates, thereby promoting their health information transmission.


Subject(s)
Health Communication , Social Media , Students, Nursing , Telemedicine , Humans , Cross-Sectional Studies , Self Efficacy , Intention , Health Promotion , Telemedicine/methods
3.
Front Cardiovasc Med ; 8: 728800, 2021.
Article in English | MEDLINE | ID: mdl-34513961

ABSTRACT

Background: Coronary heart disease (CHD) is a common chronic disease in the elderly. Frailty can accelerate the development of CHD and lead to adverse health outcomes. Risk prediction and decision-making for frailty are crucial. The peripheral hemoglobin-to-red blood cell distribution width ratio (HRR) is a novel biomarker of inflammation. Our purpose was to explore the correlation between HRR and frailty in elderly patients with CHD. Methods: This cross-sectional study evaluated 245 Chinese hospitalized patients with CHD. Blood parameters measured upon admission were obtained via the hospital electronic information medical record system. The Fried Frailty Phenotype Scale was used to evaluate the frailty status of the participants. The Receiver operating characteristic curve was used to determine the optimal cut-off values of HRR. We used univariate analysis to examine the potential factors affecting frailty. Kendall's tau-b grade correlation was used to analyze the correlation between HRR and frailty. The ordered logistic regression model was used to analyze the relationship between HRR and frailty. Results: A total of 233 elderly patients with CHD were included in our study. Among the patients, 33.48% (78) were in a state of frailty. The optimal cut-off values of HRR was 9.76. The area under the curve (AUC) for HRR in the frailty patients was 0.652, exceed Hb (AUC = 0.618) and RDW (AUC = 0.650). Kendall's tau-b grade correlation analysis showed that HRR (K = -0.296, P < 0.001) was negatively correlated with frailty. The ordered logistic regression analysis determined that lower HRR was associated with frailty (P < 0.05) after adjusted for age, body mass index, number of drugs, comorbidity index, heart failure, red blood cells, albumin, total cholesterol, triglyceride, high density lipoprotein cholesterol, and low density lipoprotein cholesterol. Conclusion: Lower HRR is an independent risk factor for frailty in elderly hospitalized patients with CHD. HRR was a more powerful prognostic indicator for frailty than either Hb or RDW alone. Clinicians should focus on timely identification of the risk of frailty in order to improve patient quality of life and to reduce the risk of complications.

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