Exploring the social influence of multichannel access in an online health community

2017 ◽  
Vol 69 (1) ◽  
pp. 98-109 ◽  
Author(s):  
Peng Luo ◽  
Kun Chen ◽  
Chong Wu ◽  
Yongli Li
2020 ◽  
Author(s):  
Ou Stella Liang ◽  
Yunan Chen ◽  
David Bennett ◽  
Christopher C. Yang

BACKGROUND The current opioid crisis in the United States impacts broad population groups, including pregnant women. Opioid use during pregnancy can affect both the health and wellness of women and their infants. OBJECTIVE Our research is driven by the overarching vision of improving the quality of pregnancy for women with substance use disorder. The aims of this study were to (1) contextualize the social environment and healthcare experiences of the pregnant women who use opioids in order to inform program planning for specialized obstetric care and resources; and (2) identify knowledge gaps of the study population that may be addressed by patient education via online health communities. METHODS We conducted a qualitative study of public online discussion posts made by pregnant women with opioid use to understand their experiences and challenges. Three researchers performed three rounds of iterative open coding of randomly selected posts from MedHelp.org. Concepts and their thematic connections were identified through an inductive process. Theoretical saturation was reached within approximately 350 posts. RESULTS The study population had four levels of experience with opioid use: opioid naïve, opioid dependent, opioid misuse, and in treatment. Women engage in online discussions with peers due to several offline challenges. Regardless of their experience level, the women fear that opioids may harm their fetuses and express a desire to know more about the drugs’ effects. The opioid dependent and opioid misuse groups experience additional barriers to recovery: their social environment presents several risk factors including isolation and lack of social support, influences of negative relationships, and pressure to meet societal expectations. They display signs of experiencing guilt and are prone to internalized stigma. They have difficulty obtaining and sustaining specialized obstetric care offering medication-assisted treatment. In the absence of adequate professional care, they resolve to attempt self-guided opioid withdrawal, often misinformed, in an effort to protect their fetuses and to avoid legal complications. They seek peer experiences from the online health community to supplement their difficulty finding medical and legal information from other sources. CONCLUSIONS Women with opioid use problems in an online health community often lack social support and the knowledge necessary to sustain a healthy pregnancy while combating physical and social concerns related to their opioid use. Increased resources in high-risk pregnancy care and greater transparency in hospital reporting protocols is called for to re-align patients and providers. In addition to better engaging women who use opioids in both prenatal care and substance use disorder treatment, the improvement of online platforms that dispense valid information on drug safety, withdrawal schedules, and local neglect-reporting regulations is much needed for those who do not seek professional care.


2021 ◽  
pp. 026666692110071
Author(s):  
Tao Zhou

Online health communities (OHC) provide a platform for users to exchange health-related information and seek emotional support. However, users often lack the intention to share their knowledge, which may lead to the failure of OHC. Drawing on the social influence theory, this research examined OHC users’ sharing behaviour. The results indicated that users’ sharing intention is influenced by three social influence factors, which include subjective norm, social identity and group norm. In addition, social support and privacy concern have effects on these three social influence factors. The results imply that OHC need to leverage social influence in order to facilitate users’ sharing behaviour.


1989 ◽  
Vol 34 (5) ◽  
pp. 450-451
Author(s):  
William P. Smith

2020 ◽  
Vol 12 (17) ◽  
pp. 7081 ◽  
Author(s):  
Athapol Ruangkanjanases ◽  
Shu-Ling Hsu ◽  
Yenchun Jim Wu ◽  
Shih-Chih Chen ◽  
Jo-Yu Chang

With the growth of social media communities, people now use this new media to engage in many interrelated activities. As a result, social media communities have grown into popular and interactive platforms among users, consumers and enterprises. In the social media era of high competition, increasing continuance intention towards a specific social media platform could transfer extra benefits to such virtual groups. Based on the expectation-confirmation model (ECM), this research proposed a conceptual framework incorporating social influence and social identity as key determinants of social media continuous usage intention. The research findings of this study highlight that: (1) the social influence view of the group norms and image significantly affects social identity; (2) social identity significantly affects perceived usefulness and confirmation; (3) confirmation has a significant impact on perceived usefulness and satisfaction; (4) perceived usefulness and satisfaction have positive effects on usage continuance intention. The results of this study can serve as a guide to better understand the reasons for and implications of social media usage and adoption.


2021 ◽  
pp. 002087282110079
Author(s):  
Robert K Chigangaidze

Any health outbreak is beyond the biomedical approach. The COVID-19 pandemic exposes a calamitous need to address social inequalities prevalent in the global health community. Au fait with this, the impetus of this article is to explore the calls of humanistic social work in the face of the pandemic. It calls for the pursuit of social justice during the pandemic and after. It also calls for a holistic service provision, technological innovation and stewardship. Wrapping up, it challenges the global community to rethink their priorities – egotism or altruism. It emphasizes the ultimate way forward of addressing the social inequalities.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.


2021 ◽  
Vol 5 (CSCW2) ◽  
pp. 1-29
Author(s):  
Alexandra Papoutsaki ◽  
Samuel So ◽  
Georgia Kenderova ◽  
Bryan Shapiro ◽  
Daniel A. Epstein

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