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AbstractThis longitudinal study investigated a new conceptualization of the effectiveness of social support attempts called social support effectiveness (SSE) that takes into account the quantity and quality of support attempts and the extent to which they meet the needs of recipients. SSE was assessed in a sample of 176 pregnant women with regard to their partners' social support behaviors. Potential antecedents of SSE were investigated, including individual and relationship variables. In addition, it was hypothesized that women who appraised their partner's support as more effective would have lower prenatal anxiety, both concurrently (in mid‐pregnancy) and prospectively (in late pregnancy). Factor analyses confirmed that all hypothesized aspects of SSE contributed to a unitary factor of SSE. Structural equation modeling was used to test the proposed antecedents and consequences of SSE. Results revealed that women's ratings of the effectiveness of partner support were predicted by their interpersonal orientation (adult attachment, network orientation, kin individualism–collectivism, and social skills) and by characteristics of their relationships with their partners (relationship quality, emotional closeness and intimacy, and equity). Furthermore, women who perceived themselves to have more effective partner support reported less anxiety in mid‐pregnancy and showed a reduction in anxiety from mid‐ to late pregnancy. Findings are discussed with regard to implications for advancing research on social support processes, especially within relationship contexts.

<b><i>Background:</i></b> Online study recruitment is increasingly popular, but we know little about the decision making that goes into joining studies in this manner. In GeneScreen, a genomic screening study that utilized online education and consent, we investigated participants' perceived ease when deciding to join and their understanding of key study features. <b><i>Methods:</i></b> Individuals were recruited via mailings that directed them to a website where they could learn more about GeneScreen, consent to participate, and complete a survey. <b><i>Results:</i></b> Participants found it easy to decide to join GeneScreen and had a good understanding of study features. Multiple regression analyses revealed that ease of deciding to join was related to confidence in one's genetic self-efficacy, limited concerns about genetic screening, trust in and lack of frustration using the website, and the ability to spend a limited time on the website. Understanding of study features was related to using the Internet more frequently and attaining more information about GeneScreen conditions. <b><i>Conclusions:</i></b> The ease of deciding to join a genomic screening study and comprehension of its key features should be treated as different phenomena in research and practice. There is a need for a more nuanced understanding of how individuals respond to web-based consent information.

<b><i>Background/Aims:</i></b> Recent genomic medicine initiatives underscore the importance of including diverse participants in research. Considerable literature has identified barriers to and facilitators of increasing diversity, yet disparities in recruiting and retaining adequate numbers of participants from diverse groups continue to limit the generalizability of clinical genomic research. <b><i>Methods:</i></b> The North Carolina Clinical Genomic Evaluation by Next-gen Exome Sequencing study employed evidence-based strategies to enhance the participation of under-represented minority patients. In this study, we evaluate the impact of our efforts by systematically analyzing the "cascade" of attrition of participants throughout study interactions. <b><i>Results:</i></b> Although successful in recruiting a cohort that included ~30% non-Caucasian patients overall, the study still enrolled and retained a lower proportion of minorities compared to the pool of eligible patients who were nominated. We evaluated sociodemographic characteristics and related variables as potential factors associated with attrition throughout these phases of the study. <b><i>Conclusions:</i></b> These results suggest that varied approaches will be needed to increase participation in genomic medicine research. Our findings highlight factors to consider when developing strategies to address this critical need. Failing to include a broad range of populations in research studies will exacerbate existing disparities in the translation of genomic sequencing to medical care.

INTRODUCTION: Implementation of genome-scale sequencing in clinical care has significant challenges: the technology is highly dimensional with many kinds of potential results, results interpretation and delivery require expertise and coordination across multiple medical specialties, clinical utility may be uncertain, and there may be broader familial or societal implications beyond the individual participant. Transdisciplinary consortia and collaborative team science are well poised to address these challenges. However, understanding the complex web of organizational, institutional, physical, environmental, technologic, and other political and societal factors that influence the effectiveness of consortia is understudied. We describe our experience working in the Clinical Sequencing Evidence-Generating Research (CSER) consortium, a multi-institutional translational genomics consortium. METHODS: A key aspect of the CSER consortium was the juxtaposition of site-specific measures with the need to identify consensus measures related to clinical utility and to create a core set of harmonized measures. During this harmonization process, we sought to minimize participant burden, accommodate project-specific choices, and use validated measures that allow data sharing. RESULTS: Identifying platforms to ensure swift communication between teams and management of materials and data were essential to our harmonization efforts. Funding agencies can help consortia by clarifying key study design elements across projects during the proposal preparation phase and by providing a framework for data sharing data across participating projects. CONCLUSIONS: In summary, time and resources must be devoted to developing and implementing collaborative practices as preparatory work at the beginning of project timelines to improve the effectiveness of research consortia.