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

Abstract

Aims and objectives To assess the self‐management activities among rural patients with chronic hepatitis B (CHB), and the influence of psychosocial and demographic factors on their self‐management activities. Background Chronic hepatitis B is a serious public health concern. Rural patients may have limited access to healthcare services. Although self‐management is important for controlling chronic hepatitis B, few studies focus on the self‐management activities among rural patients with chronic hepatitis B. Understanding self‐management activities and related factors in this population are important to design and implement appropriate intervention strategies. Design A cross‐sectional study. Methods From June–December 2017, totally 236 rural patients with chronic hepatitis B were recruited from hepatology department in two hospitals in Chongqing, China. The questionnaire included demographic characteristics, Chronic Hepatitis B Self‐Management Scale, Self‐Efficacy for Managing Chronic Disease, and Social Support Rating Scale. The study followed the STROBE checklist. Results Rural patients with chronic hepatitis B reported poor self‐management activities for the score indexes of symptom management (57.36%), lifestyle management (54.89%), psychosocial coping (54.84%) and disease information management (53.11%) were all below 60%. Self‐efficacy, objective support, subjective support, gender, education level and marital status showed significant effect on self‐management activities. Conclusion Rural patients with chronic hepatitis B were found to perform insufficient self‐management activities. Self‐efficacy, social support, gender, education level and marital status were identified to influence their self‐management activities. Relevance to clinical practice Self‐management activities should be promoted among rural patients with chronic hepatitis B. The factors that were identified in this study should be addressed when developing interventions to promote the performance of self‐management activities for rural patients with chronic hepatitis B.

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

“…It was confirmed that the demographic and clinical characteristics influence the self‐management of COPD in this study. Gender (women) had a significant direct effect on COPD self‐management, consistent with previous studies (Bringsvor et al, 2018; Kong et al, 2019). The level of self‐management might be higher in women, because women with chronic diseases tend to participate more positively and actively in life than men (Nolte et al, 2007).…”

“…In previous literature, demographic and clinical characteristics of patients with COPD are related to self-management. The level of self-management in women is higher than that in men (Bringsvor et al, 2018;Kong et al, 2019). Dyspnoea is one of the most frequent symptoms (Lim et al, 2017), and airflow limitation is a characteristic finding of COPD (Global initiative for chronic obstructive lung disease, 2021); Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage is an indicator of the severity of airflow limitation and has been used as a clinical indicator in many studies (Safka et al, 2017;Vogelmeier et al, 2017).…”

“…Reportedly, self‐management of COPD is influenced by demographic and clinical, cognitive and psychosocial factors. Demographic and clinical factors included gender (women) (Bringsvor et al, 2018; Kong et al, 2019), the severity of airflow limitation (Chen et al, 2021), symptoms such as dyspnoea (Bringsvor et al, 2018; Disler et al, 2012) and physical health (Cramm & Nieboer, 2012); knowledge (Ogunbayo et al, 2017; Yang et al, 2019), attitude (An & Choi, 2012; Ogunbayo et al, 2017) and self‐efficacy (Ogunbayo et al, 2017; Yadav et al, 2020) as cognitive factors and depression (Chen et al, 2021; Cramm & Nieboer, 2012) and social support (Lenferink et al, 2018; Ogunbayo et al, 2017) as psychosocial factors. These factors did not act individually but were intricately connected (Ogunbayo et al, 2017).…”

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

“…[ 20 ] In the forth part, Social Support Rating Scale, 3 dimensions of objective support, subjective support and the utilization of social support were evaluated with 10 items. [ 21 ] The last part was General Self-Efficacy Scale. [ 16 ] All scales have passed the test of reliability and validity, and have good reliability and validity.…”

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

“…Evidence suggests that individuals at high risk for stroke with higher self-efficacy are more confident in dealing with various setbacks, thus gaining better self-management (Zhou, 2019), such as adherence to medicine, monitoring symptoms and keeping good communication with healthcare providers (Kong et al, 2019(Kong et al, , 2021. The positive relationship between self-efficacy and self-management has also been found in patients with stroke (Jones & Riazi, 2011), diabetes (Kong et al, 2019(Kong et al, , 2021Riegel et al, 2017), heart disease (Kong et al, 2019(Kong et al, , 2021Riegel et al, 2017) or kidney disease (Li et al, 2014). Furthermore, self-efficacy interventions have been proved to be successful in improving self-management behaviours among patients with diabetes (Ahmad Sharoni et al, 2018).…”