Social network-based approaches to HIV testing: a systematic review and meta-analysis.

INTRODUCTION: Social network-based testing approaches (SNAs) encourage individuals ("test promoters") to motivate sexual partners and/or those in their social networks to test for HIV. We conducted a systematic review to examine the effectiveness, acceptability and cost-effectiveness of SNA. METHODS: We searched five databases from January 2010 to May 2023, and included studies that compared SNA with non-SNA. We used random-effects meta-analysis to combine effect estimates. Certainty was assessed using the GRADE approach. RESULTS: We identified 47 studies. SNA may increase uptake of HIV testing compared to non-SNA (RR 2.04, 95% CI: 1.06-3.95, Low certainty). The proportion of first-time testers was probably higher among partners or social contacts of test promoters using SNA compared to non-SNA (RR 1.49, 95% CI: 1.22-1.81, Moderate certainty). The proportion of people who tested positive for HIV may be higher among partners or social contacts of test promoters using SNA compared to non-SNA (RR 1.84, 95% CI: 1.01-3.35, Low certainty). There were no reports of any adverse events or harms associated with SNA. Based on six cost-effectiveness studies, SNA was generally cheaper per person tested and per person diagnosed compared to non-SNA. Based on 23 qualitative studies, SNA is likely to be acceptable to a variety of populations. DISCUSSION: Our review collated evidence for SNA to HIV testing covering the key populations and the general population who may benefit from HIV testing. We summarized evidence for the effectiveness, acceptability and cost-effectiveness of different models of SNA. While we did not identify an ideal model of SNA that could be immediately scaled up, for each setting and population targeted, we recommend various implementation considerations as our meta-analysis showed the effectiveness might differ due to factors which include the testing modality (i.e. use of HIV self-testing), type of test promoters, long or short duration of recruitment and use of financial incentives. CONCLUSIONS: Social network-based approaches may enhance HIV testing uptake, increase the proportion of first-time testers and those testing positive for HIV. Heterogeneity among studies highlights the need for context-specific adaptations, but the overall positive impact of SNA on HIV testing outcomes could support its integration into existing HIV testing services.

Social network, fair payment, subjective well-being, and general health: a moderation mediation analysis.

Objective: This research aimed to investigate whether subjective general health mediated the relationship between social networks and subjective well-being and whether the perception of fair payment moderated the mediating effect of subjective general health on subjective well-being. Methods: Data were drawn from round 9 of the European Social Survey (ESS), involving 3,843 respondents from 19 countries, with ages ranging from 65 to 90 years (Meanage = 73.88 ± 6.61 years). The participants completed self-reported measures assessing subjective well-being, social networks, subjective general health, and perception of fair payment. Results: Subjective general health played a mediating role in the relationship between social networks and subjective well-being. The perception of fair payment emerged as a moderator in the mediating effect of subjective general health on the association between social networks and subjective well-being. Conclusion: This study suggests that the impact of social networks on both subjective general health and subjective well-being is contingent upon individuals' perceptions of fair payment. These results highlight the significance of social networks in fostering social connections and promoting overall subjective well-being.

Polymedia Literacy and Other Ethical Considerations for Online Ethnographic Research on Social Networking Sites.

Drawing on the authors' own ethnographic research, this article discusses the importance of developing polymedia literacy as a key step toward ethical online research on social networking sites (SNS). Polymedia literacy entails the ability to critically analyze the vast landscape of SNS, their affordances, and users' social motivations for choosing specific SNS for their interactions. Internet researchers face several ethical challenges, including issues of informed consent, "public" and "private" online spaces, and data protection. Even when research ethics committees waive the need for a formal ethics approval process, researchers of online spaces need to ensure that their studies are conducted and presented in an ethical and responsible manner. This is particularly important in research contexts that pertain to vulnerable populations in online communities.

Reclaiming the concept of professionalism in the digital context: a principle-based concept analysis.

BACKGROUND: There has been an alarming surge in the usage of social networking sites (SNSs) by healthcare professionals (HCPs) without adherence to the principles of professionalism. The widespread use of SNSs in medical practices has been coupled with reports of breaches of professional behaviors. Despite the benefits of SNSs, skepticism prevails about a clearly defined role for SNSs within medicine based upon the core principles of professionalism. Thus, there is a need to understand the manifestations of professionalism in the digital context, classically known as e-professionalism. This study systematically examines HCPs' perceptions of e-professionalism to advance a thorough understanding of e-professionalism. METHODS: This concept analysis was performed using the principle-based approach of Penrod and Hupcey. In January 2023, we searched the databases of PubMed and ISI Web of Science for English-language articles specific to 'e-professionalism' in the medical field. The final selected research corpus of 63 articles was analyzed in this study. RESULTS: A comprehensive analysis of the selected articles highlighted that e-professionalism is an epistemologically mature and distinct concept by a standard definition. However, inconsistencies in conceptual meanings were reported due to varied interpretations despite digital literacy. The pragmatic utility showed a lack of sound methodological and philosophical paradigms. Perhaps the rapid technological advancements and manifestations have hampered linguistic maturity. However, logically, e-professionalism is perceived as an extension of conventional professionalism but with a focus on a distinct framework with a set of attributes to be digitally relevant. CONCLUSION: This study identifies a scarcity of research about the collective perspective of essential stakeholders, underpinning the need to further explore e-professionalism due to its emerging complex nature within the digital context. There is also a recognition that a framework is essential to guide future HCPs to yield a profound understanding and to provide remediation strategies in the rapidly advancing medical field in digital realm.

This principle-based concept analysis provides a nuanced understanding of e-professionalism, addressing its theoretical integration, practical utility, linguistic challenges, and logical boundaries.E-professionalism is acknowledged as a distinct concept across medical disciplines but variations in its interpretation demands a standard, unified, and multi-construct framework.A wealth of generational perceptions surround the concept of e-professionalism, including digital literacy and competency gap, signifying the importance of tailored educational strategies to ensure healthcare professionals uphold high standards while practicing in the digital realm.

Effects of graphene far-infrared and social network interventions on depression, anxiety and dementia in older adults.

BACKGROUND: Five-guaranteed elderly individuals are a special group of the elderly Chinese population faced with unique challenges; these individuals lack any financial resources (including support by relatives), and are solely reliant on the government to provide food, clothing, medical care, and housing as well as burials. In this article, we aim to investigate mood problems (depression, anxiety) and cognitive functioning in Five-guaranteed elderly individuals, and to validate the effectiveness of two promising interventions, graphene far-infrared intervention (GFII; an exploratory and noninvasive technique) and social network intervention (SNI), for elderly people to lay the foundation for future social service work. METHODS: To address the emotional and cognitive difficulties experienced by this special group, we designed this study, which is the first to apply GFII in this population. We also administered SNI given the social isolation of these individuals, in addition to a corresponding control group. 108 elderly individuals in 3 elder care facilities were screened to evaluate eligibility to participate in the current study, including 44 from Facility A (allocated to the GFII group), 43 from Facility B (allocated to the SNI group), and 21 from Facility C (allocated to the control group). GFII lasts for four weeks, with professionally trained carers putting on and removing intervention caps for half an hour each day. SNI lasts for three weeks, three times a week, and consists of a total of nine themed activities. The length of an activity is 90 min. We also did pre- and post-test comparisons of depression, anxiety and cognition in each group of older adults. RESULTS: The results showed that GFII led to immediate improvements in anxiety and cognitive impairment in the five-guaranteed elderly individuals, and the improvement in cognitive function was sustained over time. Moreover, SNI group showed significant improvements in cognitive function after the intervention period. CONCLUSIONS: The GFII is a promising intervention that can be applied to intervene in cognitive and mood disorders in older adults. The GFII has short-term interventions for anxiety in older adults, but long-term effects for cognitive impairment. SNI also had an interventional effect on cognition.

Integrating Faculty Scholarly Productivity Indicators with Professional Network Development Strategies: New Inferences Generated from Mixing Methods.

INTRODUCTION: Professional network connections among health professions faculty are essential for engagement, innovation, and productivity. The research question was, "How do strategies for developing a professional network of early career health professions faculty contribute to our understanding of effective guidance for scholarly productivity?" METHODS: The method was an explanatory sequential mixed method. Study participants were 50 full-time equivalent physical therapist faculty in their first 5 years at accredited institutions in the U.S. The quantitative strand included social network analysis and a Scholar Score (SS). The Scholar Score was calculated using variables from curriculum vitae (grants, publications, presentations) on a 1-25 quality scale. In-depth interviews were conducted. A grounded theory approach was implemented to explore the process of professional network development. Integrated results were used to examine differences in network development strategies. RESULTS: Fifty participants completed the quantitative strand. Twenty were selected for an interview based on high/low SS and network effectiveness. Network interconnectedness for the high performers was 36% (SD 10.3) compared to 45% (18.2) for low performers. High Scholar Scores were linked to broader networks. In four categories, network development strategies differed between high- and low-performers: prior connections, new acquaintances at their current institution, unplanned encounters, and self-initiated approaches. CONCLUSION: Scholar productivity is influenced by network development strategies. Study findings help inform mentors and early career faculty regarding the enhancement of scholarly productivity.

Peer Support for Chronic Pain in Online Health Communities: Quantitative Study on the Dynamics of Social Interactions in a Chronic Pain Forum.

BACKGROUND: Peer support for chronic pain is increasingly taking place on social media via social networking communities. Several theories on the development and maintenance of chronic pain highlight how rumination, catastrophizing, and negative social interactions can contribute to poor health outcomes. However, little is known regarding the role web-based health discussions play in the development of negative versus positive health attitudes relevant to chronic pain. OBJECTIVE: This study aims to investigate how participation in online peer-to-peer support communities influenced pain expressions by examining how the sentiment of user language evolved in response to peer interactions. METHODS: We collected the comment histories of 199 randomly sampled Reddit (Reddit, Inc) users who were active in a popular peer-to-peer chronic pain support community over 10 years. A total of 2 separate natural language processing methods were compared to calculate the sentiment of user comments on the forum (N=73,876). We then modeled the trajectories of users' language sentiment using mixed-effects growth curve modeling and measured the degree to which users affectively synchronized with their peers using bivariate wavelet analysis. RESULTS: In comparison to a shuffled baseline, we found evidence that users entrained their language sentiment to match the language of community members they interacted with (t198=4.02; P<.001; Cohen d=0.40). This synchrony was most apparent in low-frequency sentiment changes unfolding over hundreds of interactions as opposed to reactionary changes occurring from comment to comment (F2,198=17.70; P<.001). We also observed a significant trend in sentiment across all users (ß=-.02; P=.003), with users increasingly using more negative language as they continued to interact with the community. Notably, there was a significant interaction between affective synchrony and community tenure (ß=.02; P=.02), such that greater affective synchrony was associated with negative sentiment trajectories among short-term users and positive sentiment trajectories among long-term users. CONCLUSIONS: Our results are consistent with the social communication model of pain, which describes how social interactions can influence the expression of pain symptoms. The difference in long-term versus short-term affective synchrony observed between community members suggests a process of emotional coregulation and social learning. Participating in health discussions on Reddit appears to be associated with both negative and positive changes in sentiment depending on how individual users interacted with their peers. Thus, in addition to characterizing the sentiment dynamics existing within online chronic pain communities, our work provides insight into the potential benefits and drawbacks of relying on support communities organized on social media platforms.

The contribution of movement to social network structure and spreading dynamics under simple and complex transmission.

The structure of social networks fundamentally influences spreading dynamics. In general, the more contact between individuals, the more opportunity there is for the transmission of information or disease to take place. Yet, contact between individuals, and any resulting transmission events, are determined by a combination of spatial (where individuals choose to move) and social rules (who they choose to interact with or learn from). Here, we examine the effect of the social-spatial interface on spreading dynamics using a simulation model. We quantify the relative effects of different movement rules (localized, semi-localized, nomadic and resource-based movement) and social transmission rules (simple transmission, anti-conformity, proportional, conformity and threshold rules) to both the structure of social networks and spread of a novel behaviour. Localized movement created weakly connected sparse networks, nomadic movement created weakly connected dense networks, and resource-based movement generated strongly connected modular networks. The resulting rate of spreading varied with different combinations of movement and transmission rules, but-importantly-the relative rankings of transmission rules changed when running simulations on static versus dynamic representations of networks. Our results emphasize that individual-level social and spatial behaviours influence emergent network structure, and are of particular consequence for the spread of information under complex transmission rules.This article is part of the theme issue 'The spatial-social interface: a theoretical and empirical integration'.

Epidemic modeling for misinformation spread in digital networks through a social intelligence approach.

Online digital networks, including social networks, have significantly impacted individuals' personal and professional lives. Aside from exchanging news and topics of interest, digital networks play an essential role in the diffusion of information, which frequently significantly impacts worldwide societies. In this paper, we present a new mathematical epidemic model for digital networks that considers the sentiment of solitary misinformation in the networks and characteristics of human intelligence that play an important role in judging and spreading misinformation inside the networks. Our mathematical analysis has proved the existence and validity of the system in a real-time environment. Considering the real-world data, our simulation predicts how the misinformation could spread among different global communities and when an intervention mechanism should have to be carried out by the policyholders. Our simulation using the model proves that effective intervention mechanisms by isolating the fake news can effectively control the spread of misinformation among larger populations. The model can analyze the emotional and social intelligence of groups frequently subjected to disinformation and disseminating fake news.

The impact of social network embeddedness, TPB, and danwei system on residents' participation intention in old neighborhood regeneration.

Residents' participation is crucial for sustainable old neighborhood regeneration. Residents' intentions to participate in the regeneration are low in China, resulting in unsustainable neighborhood development problems. Therefore, it is essential to investigate the drivers of residents' participation. Residents' behavioral mechanisms are deeply embedded in their social networks, especially in acquaintance social networks typical of old neighborhoods in China. By constructing a mediated moderation model based on the Theory of Planned Behavior (TPB) and danwei system and taking the old neighborhood regeneration in Xi'an as a case study, this paper investigates the paths and mechanisms of the social network embeddedness, TPB, and danwei system on residents' participation intention. The results show that social network embeddedness can improve residents' intention to participate in regeneration through both direct and indirect pathways, and its indirect effect is much larger than the direct effect. Attitude, subjective norm, and perceived behavioral control significantly and positively mediated the contribution of social network embeddedness on participation intention. However, the specific mediating effect of attitude is significantly smaller than the other two. The danwei system has a significant moderating effect in the first stage of the relationship between social network embeddedness and participation intention. These imply that the extrinsic social factor of social network embeddedness is internalized as a driving force for convergence and motivation of residents' participation intentions mainly through the normative pressure and exchange of experiences between acquaintances and that the danwei system reinforces this extrinsic-intrinsic facilitation process through the danwei's "physical presence." These findings provide revelatory countermeasures for exploring the factors that motivate residents to participate actively in neighborhood regeneration and encourage their involvement at the intervention level.

[Teenage pregnancy: when digital social networks support becoming a mother]. / Grossesse à l'adolescence : quand les réseaux sociaux numériques viennent supporter le devenir mère.

The onset of pregnancy during adolescence brings with it upheavals for the body, identity, family and society. This particular context can make some teenagers psychopathologically fragile, while others adapt perfectly. When these mothers-to-be receive support, their adjustment to pregnancy seems to be facilitated. At present, it seems easy for teenagers to maintain contacts and thus benefit from a form of support on digital social networks. Recently discussed in the literature, the latter could represent a source of social support in this type of pregnancy, but also of support for the identity process of becoming a mother.

Analysis of user trends in digital health communities using big data mining.

Camoni, the largest digital health community in Israel, involves thousands of patients in the decision-making process concerning their illness and treatment. This approach reflects the recent global shift towards digital tools that combine professional information with social networking capabilities to enable problem-solving, emotional support, and knowledge sharing. Digital health communities serve as an invaluable resource for individuals seeking to learn more about their health, connect with others with shared experiences, and receive encouragement. Our research investigates user trends in digital health communities using the Camoni platform as a case study. To this end, we compile a comprehensive database of 12 years of site activity and conduct a large-scale analysis to identify and assess significant trends in user behavior. We observe several significant trends concerning different genders engagement and note a narrowing of gaps between men and women users' participation and publication volume. Furthermore, we find that younger users have become increasingly active on the platform over time. We also uncover unique gender-specific behavior patterns that we attempt to characterize and explain. Our findings suggest that the rise of digital health communities has accelerated in recent years, reflecting the public's growing preference to take a more active role in their medical care.

Peer Influence on Motivation to Use Pre-Exposure Prophylaxis Among Latino Sexual Minority Men in Miami, Florida: A Network Autocorrelation Model.

Despite the availability of pre-exposure prophylaxis (PrEP), Latino sexual minority men (LSMM) continue to experience disparities in PrEP uptake and subsequently, HIV vulnerability. Social network norms are an underutilized solution to increase PrEP uptake. We used a peer influence model (network autocorrelation model) to examine the role of social network descriptive norms (i.e., actual behaviors) surrounding PrEP use. A total of 11 sociocentric networks of 13 friends (n = 143 LSMM) were recruited into our study from 2018 to 2019 in South Florida. Most participants were in PrEP pre-contemplation (n = 44), and almost one-third of our sample were using PrEP (n = 38). Three network autocorrelation models were estimated using an empirically informed Bayesian analysis. We found a positive association between participants' Motivational PrEP Cascade (MPC) position and their network members' (friends') cascade position based on three different measures of connection even when accounting for PrEP knowledge: friendship (ρ = 0.22; 95% CIa = 0.01-0.42), emotional closeness (ρ = 0.24; 95% CI = 0.03-0.44), and frequency of interaction (ρ = 0.22; CI = 0.03-0.42). Our findings highlight that an individual's progress in the MPC may be influenced by their network members' progress in the MPC, suggesting that LSMM using PrEP may serve as role models to their peers for PrEP use due to descriptive norms. Our findings further suggest that PrEP interventions for LSMM along the MPC can be implemented at the social network level.

The temporal dynamics of group interactions in higher-order social networks.

Representing social systems as networks, starting from the interactions between individuals, sheds light on the mechanisms governing their dynamics. However, networks encode only pairwise interactions, while most social interactions occur among groups of individuals, requiring higher-order network representations. Despite the recent interest in higher-order networks, little is known about the mechanisms that govern the formation and evolution of groups, and how people move between groups. Here, we leverage empirical data on social interactions among children and university students to study their temporal dynamics at both individual and group levels, characterising how individuals navigate groups and how groups form and disaggregate. We find robust patterns across contexts and propose a dynamical model that closely reproduces empirical observations. These results represent a further step in understanding social systems, and open up research directions to study the impact of group dynamics on dynamical processes that evolve on top of them.

Cross-lagged panel analysis of the relationship between social networking sites use (SNSU) and sleep problems among university students.

BACKGROUND: Sleep remains a cornerstone for sociopsychological well-being, but it is in decline, especially among today's youth. Simultaneously, engagement with social media is escalating. Research has identified a link between social networking sites use and sleep problems; however, the nature and direction of the relations remain obscure. Therefore, it is imperative to pursue longitudinal research to elucidate this correlation and guide suitable intervention practices. The present study aimed to examine the reciprocal relationship between social networking sites use and sleep problems. METHODS: By adopting a three-stage cross-lagged design across four time points, assessment results from 194 university students were gathered at four-week intervals. RESULTS: The findings indicate that (1) Social networking sites use was significantly greater in females than in males at all four time points, while sleep problems were significantly greater in females than in males at Time 3 and Time 4. (2) Sleep problems at the second time point serve as a positive predictor of subsequent social networking sites use at the third time point. (3) Social networking sites use at the initial time point could marginally significantly predict sleep problems at the fourth time point. CONCLUSIONS: This study elucidates the dynamic relationship between social networking sites use and sleep problems across an academic term, suggesting the need for temporally tailored interventions.

Antecedents of entrepreneurial networking behavior and its impact on business performance - a systematic literature review.

Purpose: The purpose of this paper is to review the existing research on the antecedents of entrepreneurial networking behavior namely motivational factors and personality factors and its impact on business performance. Design/methodology/approach: This study employs a systematic review methodology, adhering to PRISMA guidelines.. Using the SCOPUS database, the search involved Boolean operators to narrow down relevant articles published in English between 2000 and 2024. Following a meticulous screening process, 32 articles were selected for review after removing duplicates and excluding non-English articles. Methodological quality assessment ensuring focused research questions, precise subject selection methods, representative samples, and reliable measurement instruments was carried out. Findings: The results demonstrate that entrepreneurs who are self-reliant and extroverted have fewer partners, however, these traits positively impact networking activities. The Big Five personality traits predict business creation and success of ventures. Desire for financial gain, risk-taking propensity, self-confidence, and the need for achievement influences networking behavior. Implications: The insights given in this paper can be used for establishing valuable connections, investing in resources, and preparing effective strategies for businesses. Policymakers who aim to promote entrepreneurial behavior among experienced individuals must emphasize the motivations for starting a business and the role of personalities in harnessing and leveraging individual entrepreneurial expertise. Originality: The existing literature on antecedents of entrepreneurial networking Behavior and the relationship of these antecedents together with business performance is limited. Further, this review article also offers avenues for future researchers.

TikTok as a teaching and learning method for nursing students: A quasi-experimental study.

BACKGROUND: Social networks have emerged as powerful tools in education, offering new opportunities for interactive learning. TikTok has gained popularity among young people and has potential for use as a teaching tool in health disciplines. OBJECTIVE: To evaluate the effectiveness of an educational program based on a multimodal intervention using the TikTok platform to improve theoretical-practical knowledge about diabetic debut and vaccination schedules and satisfaction in nursing students. DESIGN: A quasi-experimental study design. SETTINGS: Faculty of Nursing, University of Cadiz, Spain. PARTICIPANTS: 74 third-year undergraduate university nursing students. METHODS: According to Kolb's experiential learning model, a multimodal educational intervention was carried out during the academic year 2022/2023, with 12 h of training. In these sessions, theoretical content on the vaccination calendar and diabetic debut was developed with written case studies. In the last session, 19 working groups were formed and each group was given a practical case study to solve through role-playing and creating a video in TikTok. A questionnaire to measure individual knowledge and a rubric questionnaire were used to evaluate the simulations in TikTok platform. RESULTS: A significant improvement (z = 6.843, p < 0.001) was observed in the mean scores (9.93 ± 1.65) of the posttest of the knowledge questionnaire, used to evaluate abstract conceptualisation abilities. Additionally, a mean score of 10.42 (SD = 1.42) of the items on the rubric questionnaire, designed to assess active experimentation and reflective observation abilities, were correctly performed. It stands out that 97.1 % of the students positively valued the elements of teaching innovation implemented, while 82.9 % showed a high level of satisfaction with their activity. CONCLUSION: A multimodal educational intervention using TikTok platform proved to be effective in improving the acquisition of theoretical-practical knowledge in the university students included in the study. Therefore, this type of experiential training is recommended for the training of future health professionals.

Mixbiotic society measures: Assessment of community well-going as living system.

Social isolation and fragmentation represent global challenges, with the former stemming from a lack of interaction and the latter from exclusive mobs-both rooted in communication issues. Addressing these challenges, the philosophical realm introduces the concept of the "mixbiotic society." In this framework, individuals with diverse freedoms and values mix together in physical proximity with diverse mingling, recognizing their respective "fundamental incapacities" and uniting in solidarity. This study aims to provide novel measures to balance freedom and solidarity, specifically the intermediate between isolation and mobbing, within a mixbiotic society. To achieve this, we introduce simplified measures to evaluate dynamic communication patterns. These measures complement traditional social network analysis of static structures and conventional entropy-based assessments of dynamic patterns. Our specific hypothesis posits that the measures corresponding to four distinct phases are established by representing communication patterns as multidimensional vectors. These measures include the mean of Euclidean distance to quantify "mobism" for fragmentation, the relative distance change for "atomism" indicating isolation, and a composite measure derived from multiplying the mean and variance of cosine similarity for "mixism," reflecting the well-going state of a mixbiotic society. Additionally, nearly negligible measures correspond to "nihilism." Through the evaluation of seven real-society datasets (high school, primary school, workplace, village, conference, online community, and email), we demonstrate the utility of the "mixism" measure in assessing freedom and solidarity in society. These measures can be employed to typify communities on a radar chart and a communication trajectory graph. The superiority of the measures lies in their ability to evaluate dynamic patterns, ease of calculation, and easily interpretable meanings compared to conventional analyses. As a future development, alongside additional validation using diverse datasets, the mixbiotic society measures will be employed to analyze social issues and applied in the fields of digital democracy and platform cooperativism.