Social support, belongingness, and value co-creation behaviors in online health communities

Liu, Shan; Xiao, Wenyi; Fang, Chao; Xing, Zhang; Lin, Jiabao

doi:10.1016/j.tele.2020.101398

Cited by 106 publications

(119 citation statements)

References 88 publications

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“…Similarly, mental health is found the ability to directly enhance the behavior apart from hand hygiene, including career-sustaining behavior and co-creation behavior [15,16].…”

Section: Contributors Of Hand Hygiene Behaviormentioning

confidence: 99%

“…More precisely, Lawson found that the higher wellness (covering mental health) scores engaged in more career-sustaining behaviors and better reported ProQOL [15]. Liu found that mental health have negatively moderated effect on co-creation behaviors [16]. As for hand hygiene behavior, Ranasinghe found that reduced mental health status may lead to worse hygiene behaviors in adolescents [17].…”

mentioning

confidence: 99%

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Influence of workload, mental health and professional quality of life on healthcare workers’ hand hygiene behavior in medical aid during COVID-19 pandemic

Zhou

2020

Preprint

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BackgroundAppropriate hand hygiene behavior is much crucial during COVID-19 pandemic, which is influenced by workload, mental health and professional quality of life. The increasing workload, worse mental health and negative professional quality of life are severe challenges for healthcare workers, whereas the evidence of mechanism between them and hand hygiene behavior are limited. This study aimed to understand and model how HCWs’ hand hygiene behaviors were influenced by workload, mental health and professional quality of life.MethodsA total of 1,734 healthcare workers were investigated, covering self-reported hand hygiene behavior, mental health, workload, professional quality of life and socio-demographic characteristics. Structural equation modelling was conducted to confirm interrelationships and parameters among the variables.Findings The final model had a good fit (CFI=0.980; TLI=0.941; RMSEA=0.055). Higher workload was linked to worse mental health (β = 0.165, p < 0.001) and higher burnout (β = 0.183, p < 0.001). Worse mental health was linked to higher burnout (β = 0.339, p < 0.001). The higher burnout was associated with worse self-reported hand hygiene behavior (β = -0.302, p < 0.001).ConclusionWorkload is positively associated with mental health and burnout; mental health is positively related to burnout; burnout is negatively associated with hand hygiene behavior. Thus, hand hygiene behavior can be promoted by the strategy to decrease the workload, burnout and enhance mental health.

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“…Similarly, mental health is found the ability to directly enhance the behavior apart from hand hygiene, including career-sustaining behavior and co-creation behavior [15,16].…”

Section: Contributors Of Hand Hygiene Behaviormentioning

confidence: 99%

mentioning

confidence: 99%

Influence of workload, mental health and professional quality of life on healthcare workers’ hand hygiene behavior in medical aid during COVID-19 pandemic

Zhou

2020

Preprint

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“…[ 46 ]. In China, with the improvement of rural and urban community management, the grassroots community plays an increasingly vital role in people’s lives, which includes their health [ 47 ]. Members of a community often form an intimate group.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Yang

Yao

2020

IJERPH

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Employing a national representative survey (the China Labor-force Dynamics Survey 2016, CLDS2016) data (N = 14246), this paper examines the heterogeneous influences of social support on individual physical and mental health in China. Social support is characterized by four dimensions: emotional support, tangible or instrumental support, interaction or exchange support, and community support. Physical health is measured by self-rated health and body mass index (BMI), while mental health is measured by depression, hopelessness, failure, fear, loneliness, and meaninglessness. The results indicate that different dimensions of social support have heterogeneous effects on individual physical and mental health. Specifically, the correlation between emotional support and individual physical health is not significant, but emotional support is significantly related to some mental health variables. Tangible or instrumental support is significantly related to individual self-rated physical health but not to BMI or mental health. Interaction or exchange support is significantly correlated with individual self-rated health and some mental health variables. In general, there are significant correlations between community support, and individual physical and mental health. The results also suggest that the influences of social support on physical and mental health of individuals at different ages (<60 years and ≥60 years) are heterogeneous. The results of this study provide direction for the dimension selection of social support to promote individual health.

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“…However, according to Liu et al (2020), these categories of support are strictly interrelated. Indeed, informational, emotional, esteem, and companionship supports positively influence members’ belongingness to online health communities, which affects information sharing, responsible, feedback, and advocacy behaviours [ 61 ]. The greater the sense of belongingness to an online community, the more people—even those with chronic or dependent illnesses—are willing to help others in the same situation by sharing experiences and by offering advice and suggestions to health providers.…”

Section: A Multi-level Analysis Of Studies Dealing With Social Network Use In Healthcarementioning

confidence: 99%

Exploring the Social Networks’ Use in the Health-Care Industry: A Multi-Level Analysis

Pianese

Belfiore

2021

IJERPH

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The application of social networks in the health domain has become increasingly prevalent. They are web-based technologies which bring together a group of people and health-care providers having in common health-related interests, who share text, image, video and audio contents and interact with each other. This explains the increasing amount of attention paid to this topic by researchers who have investigated a variety of issues dealing with the specific applications in the health-care industry. The aim of this study is to systematize this fragmented body of literature, and provide a comprehensive and multi-level overview of the studies that has been carried out to date on social network uses in healthcare, taking into account the great level of diversity that characterizes this industry. To this end, we conduct a scoping review enabling to identify the major research streams, whose aggregate knowledge are discussed according to three levels of analysis that reflect the viewpoints of the major actors using social networks for health-care purposes, i.e., governments, health-care providers (including health-care organizations and professionals) and social networks’ users (including ill patients and general public). We conclude by proposing directions for future research.

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Social support, belongingness, and value co-creation behaviors in online health communities

Cited by 106 publications

References 88 publications

Influence of workload, mental health and professional quality of life on healthcare workers’ hand hygiene behavior in medical aid during COVID-19 pandemic

Influence of workload, mental health and professional quality of life on healthcare workers’ hand hygiene behavior in medical aid during COVID-19 pandemic

Heterogeneous Influences of Social Support on Physical and Mental Health: Evidence from China

Exploring the Social Networks’ Use in the Health-Care Industry: A Multi-Level Analysis

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