4 research outputs found

    Time from Screening Mammography to Biopsy and from Biopsy to Breast Cancer Treatment among Black and White, Women Medicare Beneficiaries Not Participating in a Health Maintenance Organization

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    Purpose There is a breast cancer mortality gap adversely affecting Black women in the United States. This study assessed the relationship between number of days between abnormal mammogram, biopsy, and treatment among Medicare (Part B) beneficiaries ages 65 to 74 and 75 to 84 years, accounting for race and comorbidity. Methods A cohort of non-Hispanic Black and non-Hispanic White women residing in the continental United States and receiving no services from a health maintenance organization was randomly selected from the Center for Medicare and Medicaid Services denominator file. The cohort was followed from 2005 to 2008 using Center for Medicare and Medicaid Services claims data. The sample included 4,476 women (weighted n = 70,731) with a diagnosis of breast cancer. Cox proportional hazard modeling was used to identify predictors of waiting times. Findings Black women had a mean of 16.7 more days between biopsy and treatment (p \u3c .001) and 15.7 more days from mammogram to treatment (p = .003) than White women. Median duration from abnormal mammogram to treatment exceeded National Quality Measures for Breast Centers medians regardless of race, age, or number of comorbidities (overall 43 days vs. the National Quality Measures for Breast Centers value of 28 days). Conclusions Medical care delays may contribute, in part, to the widening breast cancer mortality gap between Black women and White women. Further study, with additional clinical and social information, is needed to broaden scientific understanding of racial determinants and assess the clinical significance of mammogram to treatment times among Medicare beneficiaries

    What are the implications of implementation science for medical education?

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    © 2015 David W. Price et al. Background: Derived from multiple disciplines and established in industries outside of medicine, Implementation Science (IS) seeks to move evidence-based approaches into widespread use to enable improved outcomes to be realized as quickly as possible by as many as possible. Methods: This review highlights selected IS theories and models, chosen based on the experience of the authors, that could be used to plan and deliver medical education activities to help learners better implement and sustain new knowledge and skills in their work settings. Results: IS models, theories and approaches can help medical educators promote and determine their success in achieving desired learner outcomes. We discuss the importance of incorporating IS into the training of individuals, teams, and organizations, and employing IS across the medical education continuum. Challenges and specific strategies for the application of IS in educational settings are also discussed. Conclusions: Utilizing IS in medical education can help us better achieve changes in competence, performance, and patient outcomes. IS should be incorporated into curricula across disciplines and across the continuum of medical education to facilitate implementation of learning. Educators should start by selecting, applying, and evaluating the teaching and patient care impact one or two IS strategies in their work

    Time from Screening Mammography to Biopsy and from Biopsy to Breast Cancer Treatment among Black and White, Women Medicare Beneficiaries Not Participating in a Health Maintenance Organization

    No full text
    Purpose There is a breast cancer mortality gap adversely affecting Black women in the United States. This study assessed the relationship between number of days between abnormal mammogram, biopsy, and treatment among Medicare (Part B) beneficiaries ages 65 to 74 and 75 to 84 years, accounting for race and comorbidity. Methods A cohort of non-Hispanic Black and non-Hispanic White women residing in the continental United States and receiving no services from a health maintenance organization was randomly selected from the Center for Medicare and Medicaid Services denominator file. The cohort was followed from 2005 to 2008 using Center for Medicare and Medicaid Services claims data. The sample included 4,476 women (weighted n = 70,731) with a diagnosis of breast cancer. Cox proportional hazard modeling was used to identify predictors of waiting times. Findings Black women had a mean of 16.7 more days between biopsy and treatment (p \u3c .001) and 15.7 more days from mammogram to treatment (p = .003) than White women. Median duration from abnormal mammogram to treatment exceeded National Quality Measures for Breast Centers medians regardless of race, age, or number of comorbidities (overall 43 days vs. the National Quality Measures for Breast Centers value of 28 days). Conclusions Medical care delays may contribute, in part, to the widening breast cancer mortality gap between Black women and White women. Further study, with additional clinical and social information, is needed to broaden scientific understanding of racial determinants and assess the clinical significance of mammogram to treatment times among Medicare beneficiaries
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