Cancer Health Assessments Reaching Many (CHARM): A clinical trial assessing a multimodal cancer genetics services delivery program and its impact on diverse populations.

Advances in the application of genomic technologies in clinical care have the potential to increase existing healthcare disparities. Studies have consistently shown that only a fraction of eligible patients with a family history of cancer receive recommended cancer genetic counseling and subsequent genetic testing. Care delivery models using pre-test and post-test counseling are not scalable, which contributes to barriers in accessing genetics services. These barriers are even more pronounced for patients in historically underserved populations. We have designed a multimodal intervention to improve subsequent cancer surveillance, by improving the identification of patients at risk for familial cancer syndromes, reducing barriers to genetic counseling/testing, and increasing patient understanding of complex genetic results. We are evaluating this intervention in two large, integrated healthcare systems that serve diverse patient populations (NCT03426878). The primary outcome is the number of diagnostic (hereditary cancer syndrome) findings. We are examining the clinical and personal utility of streamlined pathways to genetic testing using electronic medical record data, surveys, and qualitative interviews. We will assess downstream care utilization of individuals receiving usual clinical care vs. genetic testing through the study. We will evaluate the impacts of a literacy-focused genetic counseling approach versus usual care genetic counseling on care utilization and participant understanding, satisfaction, and family communication. By recruiting participants belonging to historically underserved populations, this study is uniquely positioned to evaluate the potential of a novel genetics care delivery program to reduce care disparities.

The Genomic Medicine Integrative Research Framework: A Conceptual Framework for Conducting Genomic Medicine Research.

Conceptual frameworks are useful in research because they can highlight priority research domains, inform decisions about interventions, identify outcomes and factors to measure, and display how factors might relate to each other to generate and test hypotheses. Discovery, translational, and implementation research are all critical to the overall mission of genomic medicine and prevention, but they have yet to be organized into a unified conceptual framework. To fill this gap, our diverse team collaborated to develop the Genomic Medicine Integrative Research (GMIR) Framework, a simple but comprehensive tool to aid the genomics community in developing research questions, strategies, and measures and in integrating genomic medicine and prevention into clinical practice. Here we present the GMIR Framework and its development, along with examples of its use for research development, demonstrating how we applied it to select and harmonize measures for use across diverse genomic medicine implementation projects. Researchers can utilize the GMIR Framework for their own research, collaborative investigations, and clinical implementation efforts; clinicians can use it to establish and evaluate programs; and all stakeholders can use it to help allocate resources and make sure that the full complexity of etiology is included in research and program design, development, and evaluation.

Uncertainty, hope, and coping efficacy among mothers of children with Duchenne/Becker muscular dystrophy.

Uncertainty is a challenging aspect of caring for children with Duchenne/Becker muscular dystrophies (DBMD). Although uncertainty is often perceived as a state to be avoided, hope may influence caregivers' perceptions of uncertainty as opportunity. The goal of this cross-sectional quantitative study was to pilot a novel measure of state-based hope, and test relationships among uncertainty, hope, spirituality, and coping efficacy in mothers of children with DBMD. Mothers (n = 202) were recruited through DuchenneConnect, Parent Project Muscular Dystrophy, and Cincinnati's Children Hospital. A one-component solution for the novel Parent Hope Scale explained 44.3% of the variance, and the measure showed high internal consistency. Higher hope (P < 0.001), further disease progression (P = 0.042), and older mother's age (P = 0.001) were significantly associated with lower perceptions of uncertainty. Mothers reporting less hope (P < 0.001), higher perceptions of uncertainty (P < 0.001), and less spirituality (P = 0.001) reported lower coping efficacy. As such, hope appears to be a key variable in shaping uncertainty appraisals and facilitating coping efficacy. While further research is needed, counseling aimed at bolstering hope, particularly among less-hopeful mothers, and interventions to reappraise uncertainty, may be helpful in promoting coping efficacy.

Development and validation of the Psychological Adaptation Scale (PAS): use in six studies of adaptation to a health condition or risk.

OBJECTIVE: We introduce The Psychological Adaptation Scale (PAS) for assessing adaptation to a chronic condition or risk and present validity data from six studies of genetic conditions. METHODS: Informed by theory, we identified four domains of adaptation: effective coping, self-esteem, social integration, and spiritual/existential meaning. Items were selected from the PROMIS "positive illness impact" item bank and adapted from the Rosenberg self-esteem scale to create a 20-item scale. Each domain included five items, with four sub-scale scores. Data from studies of six populations: adults affected with or at risk for genetic conditions (N=3) and caregivers of children with genetic conditions (N=3) were analyzed using confirmatory factor analyses (CFA). RESULTS: CFA suggested that all but five posited items converge on the domains as designed. Invariance of the PAS amongst the studies further suggested it is a valid and reliable tool to facilitate comparisons of adaptation across conditions. CONCLUSION: Use of the PAS will standardize assessments of adaptation and foster understanding of the relationships among related health outcomes, such as quality of life and psychological well-being. PRACTICE IMPLICATIONS: Clinical interventions can be designed based on PAS data to enhance dimensions of psychological adaptation to a chronic health condition or risk.