139 research outputs found

    Impact of a Boot Camp Translation Intervention on Self-Management Support in Primary Care

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    Purpose: Self-management support (SMS) is a pillar of the well-established chronic care model and a key component of improving outcomes for patients with chronic illnesses. The Implementing Networks’ Self-management Tools Through Engaging Patients and Practices (INSTTEPP) trial sought to determine whether a boot camp translation process could assist small to medium-sized primary care practices with care managers implement SMS tools. Methods: INSTTEPP used a stepped-wedge design across 16 practices from 4 practice-based research networks over 12 months. Each network completed a 2-month boot camp translation for creating SMS tools with 16 participants (2 patients, a clinician, and a care manager from each of 4 practices) and subsequent implementation. Outcome measures for patients were the Patient Activation Measure (PAM), self-rated health, and Patient Assessment of Chronic Illness Care (PACIC) process-of-care items at baseline, 1 and 2 months. Clinician Support for Patient Activation Measure (CS-PAM) and theory of planned behavior outcomes were assessed at 5 points over 10 months for clinicians and staff. Results: A total of 297 patients and 89 practice staff and clinicians completed surveys during the study. Over successive 2-month sampling periods, intervention patients experienced greater improvement in PACIC process of care and self-rated health compared to control patients (P 0.10 for all) were not significantly different. Conclusions: Significant effects on process of care and self-rated health are evidence that the boot camp translation intervention impacted SMS. A larger trial with a typical 6-month boot camp intervention may show significant effects on other outcomes

    Landscape of somatic mutations in 560 breast cancer whole-genome sequences.

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    We analysed whole-genome sequences of 560 breast cancers to advance understanding of the driver mutations conferring clonal advantage and the mutational processes generating somatic mutations. We found that 93 protein-coding cancer genes carried probable driver mutations. Some non-coding regions exhibited high mutation frequencies, but most have distinctive structural features probably causing elevated mutation rates and do not contain driver mutations. Mutational signature analysis was extended to genome rearrangements and revealed twelve base substitution and six rearrangement signatures. Three rearrangement signatures, characterized by tandem duplications or deletions, appear associated with defective homologous-recombination-based DNA repair: one with deficient BRCA1 function, another with deficient BRCA1 or BRCA2 function, the cause of the third is unknown. This analysis of all classes of somatic mutation across exons, introns and intergenic regions highlights the repertoire of cancer genes and mutational processes operating, and progresses towards a comprehensive account of the somatic genetic basis of breast cancer
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