13 research outputs found

    Church-Based Breast Cancer Screening Education: Impact of Two Approaches on Latinas Enrolled in Public and Private Health Insurance Plans

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    Introduction The Tepeyac Project is a church-based health promotion project that was conducted from 1999 through 2005 to increase breast cancer screening rates among Latinas in Colorado. Previous reports evaluated the project among Medicare and Medicaid enrollees in the state. In this report, we evaluate the program among enrollees in the state's five major insurance plans. Methods We compared the Tepeyac Project's two interventions: the Printed Intervention and the Promotora Intervention. In the first, we mailed culturally tailored education packages to 209 Colorado Catholic churches for their use. In the second, promotoras (peer counselors) in four Catholic churches delivered breast-health education messages personally. We compared biennial mammogram claims from the five insurance plans in the analysis at baseline (1998ā€“1999) and during follow-up (2000ā€“2001) for Latinas who had received the interventions. We used generalized estimating equations (GEE) analysis to adjust rates for confounders. Results The mammogram rate for Latinas in the Printed Intervention remained the same from baseline to follow-up (58% [2979/5130] vs 58% [3338/5708]). In the Promotora Intervention, the rate was 59% (316/536) at baseline and 61% (359/590) at follow-up. Rates increased modestly over time and varied widely by insurance type. After adjusting for age, income, urban versus rural location, disability, and insurance type, we found that women exposed to the Promotora Intervention had a significantly higher increase in biennial mammograms than did women exposed to the Printed Intervention (GEE parameter estimate = .24 [Ā±.11], P = .03). Conclusion For insured Latinas, personally delivering church-based education through peer counselors appears to be a better breast-health promotion method than mailing printed educational materials to churches

    Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients.

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    In December 2017, the National Academy of Neuropsychology convened an interorganizational Summit on Population Health Solutions for Assessing Cognitive Impairment in Geriatric Patients in Denver, Colorado. The Summit brought together representatives of a broad range of stakeholders invested in the care of older adults to focus on the topic of cognitive health and aging. Summit participants speciļ¬cally examined questions of who should be screened for cognitive impairment and how they should be screened in medical settings. This is important in the context of an acute illness given that the presence of cognitive impairment can have signiļ¬cant implications for care and for the management of concomitant diseases as well as pose a major risk factor for dementia. Participants arrived at general principles to guide future screening approaches in medical populations and identiļ¬ed knowledge gaps to direct future research. Key learning points of the summit included: recognizing the importance of educating patients and healthcare providers about the value of assessing current and baseline cognition;emphasizing that any screening tool must be appropriately normalized and validated in the population in which it is used to obtain accurate information, including considerations of language, cultural factors, and education; andrecognizing the great potential, with appropriate caveats, of electronic health records to augment cognitive screening and tracking of changes in cognitive health over time

    Differential impact of cognitive computing augmented by real world evidence on novice and expert oncologists

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    Abstract Introduction Cognitive computing pointā€ofā€care decision support tools which ingest patient attributes from electronic health records and display treatment options based on expert training and medical literature, supplemented by real world evidence (RWE), might prove useful to expert and novice oncologists. The concordance of augmented intelligence systems with best medical practices and potential influences on physician behavior remain unknown. Methods Electronic health records from 88 breast cancer patients evaluated at a USA tertiary care center were presented to subspecialist experts and oncologists focusing on other disease states with and without reviewing the IBM Watson for Oncology with Cota RWE platform. Results The cognitive computing ā€œrecommendedā€ option was concordant with selection by breast cancer experts in 78.5% and ā€œfor considerationā€ option was selected in 9.4%, yielding agreements in 87.9%. Fiftyā€nine percent of nonā€concordant responses were generated from 8% of cases. In theĀ CotaĀ observational database 69.3% of matched controls were treated with ā€œrecommended,ā€ 11.4% ā€œfor considerationā€, and 19.3% ā€œnot recommended.ā€ Without guidance from Watson for Oncology (WfO)/CotaĀ RWE, novice oncologists chose 75.5% recommended/for consideration treatments which improved to 95.3% with WfO/CotaĀ RWE. The novices were more likely than experts to choose a nonā€recommended option (PĀ <Ā .01) without WfO/Cota RWE and changed decisions in 39% cases. Conclusions Watson for Oncology with Cota RWE options were largely concordant with disease expert judged best oncology practices, and was able to improve treatment decisions among breast cancer novices. The observation that nearly a fifth of patients with similar disease characteristics received nonā€recommended options in a real world database highlights a need for decision support
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