Factors for self-management activities among rural patients with chronic hepatitis B: A cross-sectional study

Association between self-efficacy and self-management behaviours among individuals at high risk for stroke: Social support acting as a mediator

AIMS AND OBJECTIVES

To explore the association between self-efficacy and self-management by modelling three types of social support as mediators among stroke high-risk populations.

BACKGROUND

Self-efficacy and social support (i.e. objective support, subjective support and support utilisation) are important for self-management among stroke high-risk populations. Self-efficacy activates three types of social support, and the effect of social support on self-management varies by types among chronic patients. Therefore, social support may act as a mediator between self-efficacy and self-management, and the mediating role may vary by types of social support. Disentangling the role of these different types of social support can guide tailored interventions.

DESIGN

A cross-sectional study.

METHODS

This study was conducted among 448 Chinese adults at high risk for stroke. Self-efficacy, self-management and social support were assessed using the Self-Efficacy Scale, the Stroke Self-management Scale and the Social Support Rating Scale respectively. The PROCESS SPSS Macro version 3.3, model 4 was used to explore the mediating role of different types of social support in the relationship between self-efficacy and self-management. This study followed STROBE checklist for cross-sectional studies (Appendix S1).

RESULTS

Self-efficacy improved three types of social support, and subjective support and support utilisation promoted self-management, but objective support hindered self-management. The specific indirect effect of objective support and subjective support was significant but not that of support utilisation. Objective support, subjective support and support utilisation attenuated the total effect of self-efficacy on self-management by -23.8%, 23.8% and 7.7% respectively.

CONCLUSIONS

Mediating effect of social support in the relationship between self-efficacy and self-management varies by type, and the positive effect of subjective support is offset by the detrimental effect of objective support.

RELEVANCE TO CLINICAL PRACTICE

Among stroke high-risk populations, interventions should target objective support and subjective support as well as self-efficacy to efficiently improve their self-management.

Self-management model based on information-motivation-behavioral skills model in patients with chronic obstructive pulmonary disease

AIM

To develop and test a predictive model of self-management based on the theory of the information-motivation-behavioural skills model and previous literature on self-management for patients with chronic obstructive pulmonary disease (COPD).

DESIGN

A descriptive, correlational, cross-sectional design was used.

METHODS

A convenience sample recruited 248 patients with COPD from the pulmonary medicine clinic in South Korea between July 2020 and June 2021. We used self-administrated, structured questionnaires for dyspnoea, health status, knowledge, attitude, social support, self-efficacy and self-management. Data were analysed using path analysis to test a self-management model for patients with COPD.

RESULTS

Gender, COPD self-management knowledge, social support and COPD self-efficacy had a direct effect on COPD self-management. Dyspnoea, Global Initiative for Chronic Obstructive Lung Disease stage, health status, COPD self-management attitude and social support had an indirect effect on self-management in patients with COPD. These variables explained 43.2% of the total variance for self-management in patients with COPD.

CONCLUSIONS

When assessing self-management of COPD; demographic and clinical factors, knowledge, attitudes, social support and self-efficacy included in the information-motivation-behavioural skills model should be considered together.

A correlation study of emergency department nurses' fatigue, perceived stress, social support and self-efficacy in grade III A hospitals of Xi'an

Fatigue is a universal and challenging problem in a nurse's career, particularly for those working in the emergency department. Through analyzing the current status of emergency department nurses' fatigue, the purpose of this study is to provide guidance for occupational health promotion strategies making and fatigue relief.Cross-sectional study was conducted among nurses working in emergency department in 6 grade III A hospitals in Xi'an, China. Convenience sample of 346 nurses agreed to participate in this study. Data collection was based on the questionnaires. Descriptive statistics, hypothesis tests and correlation analysis were used to describe the samples' characteristics and identify associations amongst participants' characteristics.The fatigue score of those emergency nurses from grade III A hospitals in Xian was 8.71 ± 3.01, a high fatigue level. Moreover, there were significant differences in fatigue scores of different age groups, sleep qualities, work stress levels and physical states (P < .01). Further, the dimension of physical fatigue in various age groups, job title, marital status, sleep qualities, work stress levels and physical states was significantly different (P < .05) and the dimension of mental fatigue with different sleep qualities, work stress levels and physical states was significantly different (P < .01). The results of correlation analysis showed that fatigue was positively correlated with perceived stress while negatively correlated with social support and self-efficacy (P < .01). The multiple stepwise linear regression analysis indicated that the independent variables in the fatigue regression equation were perceived stress, physical condition and work stress in turn (P < .01), and the independent variables in the the dimensions of physical fatigue regression equation were perceived stress, physical condition,work stress and job title in turn (P < .05); the independent variables in the the dimensions of mental fatigue regression equation were perceived stress,subjective support and physical condition in turn (P < .05).The current status of high fatigue level of emergency nurses should be taken seriously. It is imperative to take effective measures to help emergency nurses reduce stress, improve social support, promote the self-efficacy, and thus relieve fatigue.