Characterizing Social Networks and Communication Channels in a Web-Based Peer Support Intervention

Interventions with Social Integration Components Addressing Psychosocial Outcomes of Young- and Middle-Aged Adult Cancer Individuals: A Systematic Review

BACKGROUND

The majority of adult cancer patients/survivors encounter social challenges (e.g., obtaining social support, maintaining social relationships, feelings of social isolation). This systematic review summarizes intervention studies addressing social integration or social connectedness issues among young- and middle-aged cancer patients/survivors.

METHODS

We searched the PubMed, CINAHL, and Web of Science databases (January 2000-May 2021) to identify intervention studies that addressed social integration, social connectedness, social support, and social isolation for cancer patients/survivors in young- and middle-aged adulthood (18-64.9 years) through a randomized controlled trial (RCT). We categorized the interventions as technology-based, non-technology-based, and mixed-type (technology- and non-technology-based).

RESULTS

A total of 28 studies were identified. These interventions demonstrated improved social outcomes (e.g., increased social support, decreased loneliness), increased awareness of available cancer-related resources, and better patient-reported outcomes among patients/survivors versus controls. Specifically, the use of internet-based discussion sessions was associated with improved social cohesion and social support. Receiving social support from peers through networking sites was associated with improved physical activity. Additionally, implementing mixed-type interventions led to better social support from peer survivors, less fear of social interactions, and improved social connectedness.

CONCLUSIONS

Using existing technology- and/or non-technology-based platforms to facilitate social connectedness among cancer patients/survivors in young- or middle-aged adulthood can help them cope with stressful life circumstances and improve quality-of-life. Further interventions targeting social integration (e.g., social network interventions) are needed to improve the complex social integration challenges experienced by cancer patients and survivors.

Linking Network Characteristics of Online Social Networks to Individual Health: A Systematic Review of Literature

Social networks have long been viewed as a structural determinant of health. With the proliferation of digital technologies, numerous studies have examined the health implications of online social networks (OSNs). However, the mechanisms through which OSNs may influence individual health are poorly understood. Employing a social network approach, this paper presents a systematic review of the literature examining how network characteristics of OSNs are linked to individuals' health behavior and/or status. Drawing on keyword searches in nine databases, we identified and analyzed 22 relevant articles from 1,705 articles published prior to 2017. The findings show that individual health is associated with a number of network characteristics, including both individual-level attributes (e.g., centrality) and network-level attributes (e.g., density, clustering). All of the included studies (n = 22) have focused on egocentric networks, and nine studies also collected whole network data of online health communities. Based on our review, we highlight three fruitful areas in the application of OSNs in public health: (1) disease and risk detection, (2) disease prevention and intervention, and (3) health behavior change. However, the precise mechanisms and causal pathways through which OSNs affect health remain unclear. More theoretically grounded, longitudinal, and mixed methods research is needed to advance this line of research.

Online Platform to Assess Complex Social Relationships and Patient-Reported Outcomes Among Adolescent and Young Adult Cancer Survivors

PURPOSE

Social integration and relationship issues have been understudied among adolescent and young adult (AYA) cancer survivors. This study compared social relationships (social networks, support, and isolation) between AYA cancer survivors and noncancer controls, and identified social integration mechanisms through which the cancer experience influences patient-reported outcomes (PROs).

MATERIALS AND METHODS

One hundred two AYA cancer survivors and 102 age, sex, and race-matched noncancer controls from a national Internet panel completed an online survey to identify up to 25 of closest friends and relatives whom they have contacted within the past 2 years. Participants' interpersonal connections were used to create a social network index. The Duke-UNC Functional Social Support Questionnaire, UCLA Loneliness Scale, and PROMIS-29 Profile were used to measure social support, perceived isolation or loneliness, and PROs (physical functioning, pain interference, fatigue, anxiety, and depression domains), respectively. Path analysis tested effects of cancer experience on PROs using serial social relationship variables as mediators.

RESULTS

Compared with controls, survivors of lymphoma, leukemia, and solid tumor had better social networks; however, survivors of solid tumor and central nervous system malignancies had higher perceived loneliness (all P values < .05). Cancer experience was directly associated with poor PROs (P values < .05 for all domains except fatigue) and indirectly associated through the social network-support-loneliness pathway (all P values < .05). Survivors with higher loneliness had lower physical functioning and higher pain interference, fatigue, anxiety, and depression versus controls with lower loneliness (all P values < .05).

CONCLUSION

Compared with controls, survivors were more socially connected but experienced greater loneliness, which was associated with poorer PROs. Screening social integration issues during follow-up care and providing appropriate interventions are warranted.

Value of social network analysis for developing and evaluating complex healthcare interventions: a scoping review

OBJECTIVES

Most complex healthcare interventions target a network of healthcare professionals. Social network analysis (SNA) is a powerful technique to study how social relationships within a network are established and evolve. We identified in which phases of complex healthcare intervention research SNA is used and the value of SNA for developing and evaluating complex healthcare interventions.

METHODS

A scoping review was conducted using the Arksey and O'Malley methodological framework. We included complex healthcare intervention studies using SNA to identify the study characteristics, level of complexity of the healthcare interventions, reported strengths and limitations, and reported implications of SNA. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews 2018 was used to guide the reporting.

RESULTS

Among 2466 identified studies, 40 studies were selected for analysis. At first, the results showed that SNA seems underused in evaluating complex intervention research. Second, SNA was not used in the development phase of the included studies. Third, the reported implications in the evaluation and implementation phase reflect the value of SNA in addressing the implementation and population complexity. Fourth, pathway complexity and contextual complexity of the included interventions were unclear or unable to access. Fifth, the use of a mixed methods approach was reported as a strength, as the combination and integration of a quantitative and qualitative method clearly establishes the results.

CONCLUSION

SNA is a widely applicable method that can be used in different phases of complex intervention research. SNA can be of value to disentangle and address the level of complexity of complex healthcare interventions. Furthermore, the routine use of SNA within a mixed method approach could yield actionable insights that would be useful in the transactional context of complex interventions.

[Online social support as a mode of psychosocial intervention: A review of scientific literature, avenues for future research, and recommendations for practitioners]

OBJECTIVE

The goal of this review is to present online social support interventions described in recent scientific literature, in order to (i) guide organizations wishing to develop such an intervention or to improve an existing program, and (ii) to identify future research directions and recommendations for practitioners.

METHODS AND RESULTS

59 peer-reviewed articles presenting online social support interventions (2006-2016) were analyzed by using a thematic grid focusing on theoretical perspectives on social support, the online platforms used and their functionalities, the process of intervention development and evaluation, the modalities of participation and the facilitation methods, the documented impacts of interventions, and finally future research directions and recommendations for practitioners. A narrative methodology was used to identify challenges in intervention development and implementation, in order to provide guidance to organizations who want to develop or improve their online social support services.

CONCLUSIONS

Several research directions and recommendations for the development of online social support interventions are suggested, including the need to develop theoretical models of online social support and enrich traditional models of social support, the need to understand the benefits associated with different levels of participation, the importance of needs assessment in the development of interventions, and the contribution of qualitative methods to the evaluation of interventions.

Use of social network analysis in the development, dissemination, implementation, and sustainability of health behavior interventions for adults: A systematic review

Interest in conceptualizing, measuring, and applying social network analysis (SNA) in public health has grown tremendously in recent years. While these studies have broadened our understanding of the role that social networks play in health, there has been less research that has investigated the application of SNA to inform health-related interventions. This systematic review aimed to capture the current applied use of SNA in the development, dissemination, implementation, and sustainability of health behavior interventions for adults. We identified 52 articles published between 2004 and 2016. A wide variety of study settings were identified, most commonly in the US context and most often related to sexual health and HIV prevention. We found that 38% of articles explicitly applied SNA to inform some aspect of interventions. Use of SNA to inform intervention development (as opposed to dissemination, implementation, or sustainability) was most common. The majority of articles represented in this review (n = 39) were quantitative studies, and 13 articles included a qualitative component. Partial networks were most represented across articles, and over 100 different networks measures were assessed. The most commonly described measures were network density, size, and degree centrality. Finally, very few articles defined SNA and not all articles using SNA were theoretically-informed. Given the nascent and heterogeneous state of the literature in this area, this is an important time for the field to coalesce on terminology, measures, and theoretical frameworks. We highlight areas for researchers to advance work on the application of SNA in the design, dissemination, implementation and sustainability of behavioral interventions.

The State of Digital Interventions for Demand Generation in Low- and Middle-Income Countries: Considerations, Emerging Approaches, and Research Gaps

The recent introduction of digital health into generating demand for health commodities and services has provided practitioners with an expanded universe of potential tools to strengthen demand and ensure service delivery receipt. However, considerable gaps remain in our understanding of which interventions are effective, which characteristics mediate their benefit for different target populations and health domains, and what is necessary to ensure effective deployment. This paper first provides an overview of the types of digital health interventions for demand generation, including untargeted client communication, client-to-client communication, on-demand information services, personal health tracking, client financial transactions, and targeted client communication. It then provides a general overview of 118 studies published between January 1, 2010, and October 3, 2017, that used digital interventions to generate demand for health interventions. The majority (61%) of these studies used targeted client communication to provide health education or reminders to improve treatment adherence, and the most frequently (27%) studied health condition was HIV/AIDS. Intervention characteristics that have been found to have some effect on gains in demand generation include modality, directionality, tailoring, phrasing, and schedule. The paper also explores new emergent digital approaches that expand the potential effect of traditional demand generation in terms of personalization of content and services, continuity of care, and accountability tracking. Applying existing frameworks for monitoring and evaluation and reporting, research on emerging approaches will need to consider not only their feasibility but also their effectiveness in achieving demand generation outcomes. We propose a research agenda to help guide the field of digital demand generation studies and programs within a broader health systems strengthening agenda, including establishing and documenting the influence of intervention characteristics within different populations and health domains and examining the long-term effects and cost-effectiveness of digital demand generation interventions, as well as equity in access to such interventions.

Development of the functional social network index for adolescent and young adult cancer survivors

BACKGROUND

To the authors' knowledge, social network status in adolescent and young adult (AYA) cancer survivors has not been adequately studied to date. The authors developed and validated a functional social network index (FSNI) for AYA survivors, and compared its performance with that of 2 traditional indices (density and betweenness centrality).

METHODS

A total of 102 AYA survivors and 102 noncancer controls who were matched for age, sex, and race were recruited from an Internet panel. Each participant reported relationships with up to 25 close friends and/or relatives. The authors developed a FSNI with reported marital status, contact frequency with friends/relatives, available resources for emotional and tangible support, and available resources for physical activity and weight management advice. Linear regression was used to analyze associations between the FSNI and cancer diagnoses, treatments, and coping skills.

RESULTS

Based on the FSNI, survivors were found to have more available resources for emotional support (beta [b] = 3.02; P = .003), tangible support (b = 4.17; P<.001), physical activity advice (b = 3.94; P<.001), and weight management advice (b = 4.10; P<.001) compared with noncancer controls. Survivors of lymphoma had the largest FSNI, whereas survivors of central nervous system malignancies had the smallest (b = 2.77; P = .02). A higher FSNI was associated with better coping skills: less denial (b = 0.10; P = .01), using emotional support (b = 0.08; P = .04), using instrumental support (b = 0.12; P<.001), less behavioral disengagement (b = 0.08; P = .04), venting of emotions (b = 0.10; P = .004), positive reframing (b = 0.12; P = .003), planning for the future (b = 0.08; P = .03), and religious engagement (b = 0.16; P<.001). Density and betweenness centrality indices demonstrated neither significant differences in social networks between cancer survivors and controls (all P values >.05) nor significant associations with coping skills (all P values >.05).

CONCLUSIONS

The FSNI appears to provide a better social network assessment for AYA cancer survivors than traditional indices. Cancer 2018;124:2220-7. © 2018 American Cancer Society.

Social Media and Mobile Technology for Cancer Prevention and Treatment

Given the number of lives affected by cancer and the great potential for optimizing well-being via lifestyle changes, patients, providers, health care systems, advocacy groups, and entrepreneurs are looking to digital solutions to enhance patient care and broaden prevention efforts. Thousands of health-oriented mobile websites and apps have been developed, with a majority focused upon lifestyle behaviors (e.g., exercise, diet, smoking). In this review, we consider the use and potential of social media and mHealth technologies for cancer prevention, cancer treatment, and survivorship. We identify key principles in research and practice, summarize prior reviews, and highlight notable case studies and patient resources. Further, with the potential for scaled delivery and broad reach, we consider application of social media and mHealth technologies in low-resource settings. With clear advantages for reach, social media and mHealth technologies offer the ability to scale and engage entire populations at low cost, develop supportive social networks, connect patients and providers, encourage adherence with cancer care, and collect vast quantities of data for advancing cancer research. Development efforts have been rapid and numerous, yet evaluation of intervention effects on behavior change and health outcomes are sorely needed, and regulation around data security issues is notably lacking. Attention to broader audiences is also needed, with targeted development for culturally diverse groups and non-English speakers. Further investment in research to build the evidence base and identify best practices will help delineate and actualize the potential of social media and mHealth technologies for cancer prevention and treatment.

Randomized Trial of a Social Networking Intervention for Cancer-Related Distress

BACKGROUND

Web and mobile technologies appear to hold promise for delivering evidence-informed and evidence-based intervention to cancer survivors and others living with trauma and other psychological concerns. Health-space.net was developed as a comprehensive online social networking and coping skills training program for cancer survivors living with distress.

PURPOSE

The purpose of this study was to evaluate the effects of a 12-week social networking intervention on distress, depression, anxiety, vigor, and fatigue in cancer survivors reporting high levels of cancer-related distress.

METHODS

We recruited 347 participants from a local cancer registry and internet, and all were randomized to either a 12-week waiting list control group or to immediate access to the intervention. Intervention participants received secure access to the study website, which provided extensive social networking capabilities and coping skills training exercises facilitated by a professional facilitator.

RESULTS

Across time, the prevalence of clinically significant depression symptoms declined from 67 to 34 % in both conditions. The health-space.net intervention had greater declines in fatigue than the waitlist control group, but the intervention did not improve outcomes for depression, trauma-related anxiety symptoms, or overall mood disturbance. For those with more severe levels of anxiety at baseline, greater engagement with the intervention was associated with higher levels of symptom reduction over time.

CONCLUSIONS

The intervention resulted in small but significant effects on fatigue but not other primary or secondary outcomes. Results suggest that this social networking intervention may be most effective for those who have distress that is not associated with high levels of anxiety symptoms or very poor overall psychological functioning.

TRIAL REGISTRATION NUMBER

The trial was registered with the ClinicalTrials.gov database ( ClinicalTrials.gov #NCT01976949).

Social Media and Mobile Technology for Cancer Prevention and Treatment

Given the number of lives affected by cancer and the great potential for optimizing well-being via lifestyle changes, patients, providers, health care systems, advocacy groups, and entrepreneurs are looking to digital solutions to enhance patient care and broaden prevention efforts. Thousands of health-oriented mobile websites and apps have been developed, with a majority focused upon lifestyle behaviors (e.g., exercise, diet, smoking). In this review, we consider the use and potential of social media and mHealth technologies for cancer prevention, cancer treatment, and survivorship. We identify key principles in research and practice, summarize prior reviews, and highlight notable case studies and patient resources. Further, with the potential for scaled delivery and broad reach, we consider application of social media and mHealth technologies in low-resource settings. With clear advantages for reach, social media and mHealth technologies offer the ability to scale and engage entire populations at low cost, develop supportive social networks, connect patients and providers, encourage adherence with cancer care, and collect vast quantities of data for advancing cancer research. Development efforts have been rapid and numerous, yet evaluation of intervention effects on behavior change and health outcomes are sorely needed, and regulation around data security issues is notably lacking. Attention to broader audiences is also needed, with targeted development for culturally diverse groups and non-English speakers. Further investment in research to build the evidence base and identify best practices will help delineate and actualize the potential of social media and mHealth technologies for cancer prevention and treatment.