Rapid organizational network analysis to assess coordination of services for HIV testing clients: an exploratory study

A Social Network Analysis of a Multi-sector Service System for Intimate Partner Violence in a Large US City

About one in four women in the US report having experienced some form of intimate partner violence (IPV) during their lifetime and an estimated 15.5 million children live in families in which IPV occurred in the past year. Families of young children with IPV experiences often face complex needs and require well-coordinated efforts among service providers across social and health sectors. One promising partnership aims to support pregnant and parenting IPV survivors through coordination between IPV agencies and community-based maternal and early childhood home visiting programs. This study used social network analysis (SNA) to understand the interconnectedness of the system of IPV prevention and intervention for families with young children in a large US city. The SNA included 43 agencies serving this population across various service domains spanning IPV, legal, maternal and child health, and public benefit programs. An SNA survey collected data on four forms of collaboration between agencies, including formal administrative relationship, referral reciprocity, case consultation, and shared activities in community committees/organizing bodies. Density and centrality were the primary outcomes of interest. A community detection analysis was performed as a secondary analysis. The overall level of interconnectedness between the 43 responding agencies was low. Making referrals to each other was the most common form of collaboration, with a network density of 30%. IPV agencies had the highest average number of connections in the networks. There was a high level of variation in external collaborations among home visiting agencies, with several home visiting agencies having very few connections in the community but one home visiting program endorsing collaborative relationships with upwards of 38 partner agencies in the network. In serving families at risk for IPV, home visiting agencies were most likely to have referral relationships with mental health provider agencies and substance use disorder service agencies. A community detection analysis identified distinct communities within the network and demonstrated that certain agency types were more connected to one another while others were typically siloed within the network. Notably, the IPV and home visiting communities infrequently overlapped. Sensitivity analyses showed that survey participants' knowledge of their agencies' external collaborations varied by their work roles and agencies overall had low levels of consensus about their connectedness to one another. We identified a heterogeneous service system available to families of young children at-risk for or experiencing IPV. Overall inter-agency connectedness was low, with many siloed agencies and a lack of shared knowledge of community resources. Understanding current collaborations, silos, and centrality of agencies is an effective public health tool for allocating scarce resources across diverse service sectors to efficiently improve the system serving families experiencing IPV.

Interorganizational collaboration in a trauma-informed community: A network analysis of cohesion and change

Strengthening interorganizational collaboration is critical to mitigate the impact of adverse childhood experiences (ACEs) and improve community health. We examined change in interorganizational collaboration around ACEs within Peace4Tarpon's network and investigated factors influencing collaboration. We conducted a community-wide social network analysis among 32 trauma-informed organizations in 2016 and 2018, using network analysis methods to examine interorganizational cohesion (density, transitivity, triad census) over time, and multiple regression quadratic assignment procedure to investigate factors influencing collaboration. Network cohesion measures indicated small increases in collaboration level and greater network cohesion over time. Conducting ACEs screenings was a significant factor (b = 0.237; p < 0.01) predicting likelihood of interorganizational collaboration in 2016. No assessed ACEs practices predicted collaboration in 2018, suggesting variables assessed predicted a small proportion of variance in collaboration change. Results provide a foundation for understanding how ACEs/trauma-informed practices influence collaboration and highlight implications of interorganizational collaboration. Peace4Tarpon's 2-year progress provides insights for other trauma-informed communities.

Uptake of HIV testing and its correlates among sexually experienced college students in Southwestern, China: a Web-Based online cross-sectional study

BACKGROUND

The prevalence of human immunodeficiency virus (HIV) is becoming more common among college students in China. However, latest data on the prevalence and correlates of HIV testing among sexually experienced college students is rarely.

METHODS

An online survey was conducted among college students aged 18 years or older using multistage stratified cluster sampling from 16 colleges. Data on socio-demographic, HIV testing, HIV-related awareness, attitudes, sexual education and behaviors were collected. Propensity score matching (PSM) and logistic regression model were used to identify factors associated with HIV testing.

RESULT

A total of 108,987 students participated the survey, of which 13,201 sexually experienced college students were included in this study. 1,939 (14.69%) college students with sexual experience reported uptake of HIV testing in the preceding year. The uptake of HIV testing increased for college students with a rising HIV knowledge score and sexual health knowledge. Being awareness of HIV-related knowledge (aOR = 1.15, 95%CI: 1.01-1.30), accepting one-night stands (aOR = 1.16, 95%CI:1.03-1.32), obtaining satisfactory sexual interpretation from parent(s) (aOR = 1.24, 95%CI: 1.07-1.43), ever had unintended pregnancy (aOR = 1.78, 95%CI: 1.32-2.38), ever had received HIV-related preventive service(s) (aOR = 1.37, 95%CI: 1.10-1.70), ever had participated HIV-related preventive services (aOR = 3.76, 95%CI: 2.99-4.75) and ever had anal sex (aOR = 2.66, 95%CI: 2.11-3.34) were positively associated with uptake of HIV testing. However, accepting premarital sex (aOR = 0.76, 95%CI: 0.66-0.88), accepting cohabitation (aOR = 0.75, 95%CI: 0.61-0.92), occasionally discussing sex with parent(s) (aOR = 0.68, 95%CI: 0.50-0.91), and being with moderate satisfaction of school sex courses (aOR = 0.74, 95%CI: 0.58-0.95) were negatively associated with uptake of HIV testing.

CONCLUSION

The prevalence of HIV testing was relatively low. Participation in HIV-related services and high-risk sexual behaviors were important enablers for testing. Improving sex education for students, increasing HIV preventive services on campus, and improving family sex education are necessary to increase HIV testing among college sexually experienced students.

Recommendations to Improve the Nature and Extent of Relationships Among Organizations Within a Network to Enhance Supports for Transgender Survivors of Sexual Assault

CONTEXT

To enhance the provision of comprehensive supports to transgender (trans) survivors of sexual assault, a structurally marginalized group with complex care needs, we developed an intersectoral network of trans-positive health care and community organizations in Ontario, Canada.

OBJECTIVE

As a baseline evaluation of the network, we conducted a social network analysis to determine the extent and nature of collaboration, communication, and connection among members.

DESIGN

Relational data (eg, activities of collaboration) were collected from June to July 2021, and analyzed using a validated survey tool, Program to Analyze, Record, and Track Networks to Enhance Relationships (PARTNER). We shared findings in a virtual consultation session with key stakeholders and facilitated discussion to generate action items. Consultation data were synthesized into 12 themes through conventional content analysis.

SETTING

An intersectoral network in Ontario, Canada.

PARTICIPANTS

Of the 119 representatives of trans-positive health care and community organizations invited to participate in this study, 78 (65.5%) completed the survey.

MAIN OUTCOME MEASURES

Proportion/count of organizations collaborating with other organizations. Network scores for value and trust.

RESULTS

Almost all (97.5%) invited organizations were listed as collaborators, representing 378 unique relationships. The network achieved a value score of 70.4% and trust score of 83.4%. The most prominent themes were "Communication and knowledge exchange channels," "Clearer roles and contributions," "Indicators of success," and "Client voices at the centre."

CONCLUSION

As key antecedents of network success, high value and trust indicate that network member organizations are well positioned to further foster knowledge sharing, define their roles and contributions, prioritize the integration of trans voices in all activities, and, ultimately, achieve common goals with clearly defined outcomes. There is great potential to optimize network functioning and advance the network's mission to improve services for trans survivors by mobilizing these findings into recommendations.

Aligning healthcare, public health and social services: A scoping review of the role of purpose, governance, finance and data

Organisations spanning social services, public health and healthcare have increasingly experimented with collaboration as a tool for improving population health and reducing health disparities. While there has been progress, the results have fallen short of expectations. Reflecting on these shortcomings, the Robert Wood Johnson Foundation (RWJF) recently proposed a new framework for cross-sector alignment intended to move the field towards improved outcomes. A central idea in this framework is that collaboratives will be more effective and sustainable if they develop collaborative systems in four core areas: shared purpose, governance, finance and shared data. The goal of this paper is to provide a foundation for research on the four core areas of the cross-sector alignment framework. Accordingly, this study is based on two guiding questions: (1) how are collaboratives currently implementing systems in the four core areas identified in the framework, and (2) what strategies does the literature offer for creating sustainable systems in these four areas? Given the emergent nature of research on health-oriented cross-sector collaboration and the broad research questions, we conducted a systematic scoping review including 179 relevant research papers and reports published internationally from the years 2010-2020. We identified the main contributions and coded each based on its relevance to the cross-sector alignment framework. We found that most papers focused on programme evaluations rather than theory testing, and while many strategies were offered, they tended to reflect a focus on short-term collaboration. The results also demonstrate that starting points and resource levels vary widely across individuals and organisations involved in collaborations. Accordingly, identifying and comparing distinct pathways by which different parties might pursue cross-sector alignment is an imperative for future work. More broadly, the literature is ripe with observations that could be assessed systematically to produce a firm foundation for research and practice.

Understanding the Development, Evaluation, and Sustainability of Community Health Networks Using Social Network Analysis: A Scoping Review

OBJECTIVE

Identify the scope of the literature which reports use of social network analysis to inform, support, or evaluate health promotion-focused community network/partnership development.

DATA SOURCE

A comprehensive search (not date-limited) of PubMed, CINAHL, Web of Science Core Collection, PsycInfo, and the Cochrane Library Database for Systematic Reviews.

INCLUSION AND EXCLUSION CRITERIA

Criteria for inclusion included published in the English language and used social network analysis to inform, support, or evaluate development of community networks/partnerships aiding health promotion efforts. Studies were excluded if they did not use social network analysis or were not focused upon health promotion.

DATA EXTRACTION

Three of the four authors extracted data using a summary chart to document information regarding study aims, target issue/population, methods, and key outcomes of the social network analysis.

DATA SYNTHESIS

The extracted data were qualitatively analyzed by 3 authors to categorize key social network analysis outcomes into categories.

RESULTS

Ninety-seven studies representing 9 geographical regions were included, with the majority (69) published after 2010. Key outcomes included the effectiveness of social network analysis to identify network characteristics, track network change over time, compare similar networks across locations, and correlate network attributes with outcomes.

CONCLUSION

Findings support the utility of social network analysis to inform, support, and evaluate development of sustainable health promotion-focused networks/partnerships.

Reflections on benefits and challenges of longitudinal organisational network analysis as a tool for health systems research and practice

As health systems practitioners and researchers increasingly turn towards systems thinking approaches and work on building interorganisational networks, they have demonstrated increasing interest in network analysis for investigating relationships and interactions between system actors, both at the individual and organisational levels. Despite the potential of network-based approaches to improve health system efficiency, effectiveness and responsiveness, both the theoretical and practical guidance on designing and evaluating network-building strategies is underdeveloped within the field. While there are multiple tools and resources to help users collect, manage and analyse network data, there is much less guidance on the practical applications of this information. One apparent gap is the limited application of longitudinal organisational network analysis, in which data are collected from the same organisational actors repeatedly over multiple time points. This yields insights into the dynamic nature of networks, including how the network structure and interactions change over time. Given that networks are rarely static, the addition of the time dimension has the potential to substantially enhance the analytical value of network analysis and contribute to more nuanced guidance for interested practitioners and policymakers. In this article, the authors draw on their experiences in conducting longitudinal network analysis of interorganisational relationships in the USA and India to comment on the opportunities and challenges of the methodology within the field of health systems research. We also provide suggestions as to how some of these challenges may be addressed or mitigated.

Medical, Mental Health, and Social Service Linkage Predicts Better HIV Outcomes: A Network Analytic Approach

This study presents a conceptual and quantitative approach to assess service linkages among people living with HIV (PLWH). We use network analytic techniques to document linkages among service providers based on client reports of service utilization. Data are provided by a cohort study of 1012 PLWH in New York City interviewed up to 8 times from 2002 to 2015. Participants in each interview reported service needs, services received, and location of services for primary care, behavior health, case management, and housing, food, or other social services. Each reported clinic or agency was linked to entries in a database of medical and social service providers, which included details on organizational characteristics. Based on connections indicated by clients' reported referrals, service co-location within a single agency, or service site part of a larger parent organization, we constructed networks of linkages operationally defining which service areas were linked with others. Case management and primary care were services most commonly linked with other services. The most common pairing was case management and housing services. Individuals with more linkages in their care networks, as measured by average number of connections per provider, were associated with greater odds of adherence to antiretroviral medication and suppressed viral load. Further, higher levels of service linkage were associated with reduced emergency department visits and hospital admission rates. This study offers an innovative approach to analyzing linkages and outcomes from the perspective of service users in terms of their care experiences and provides insights into patient self-management of what are often multiple medical and support service needs. Study limitations include the use of data from a single urban setting and gaps in service reports.