142 research outputs found

    Accuracy of Risk Estimates from the iPrevent Breast Cancer Risk Assessment and Management Tool.

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    BACKGROUND: iPrevent is an online breast cancer (BC) risk management decision support tool. It uses an internal switching algorithm, based on a woman's risk factor data, to estimate her absolute BC risk using either the International Breast Cancer Intervention Study (IBIS) version 7.02, or Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm version 3 models, and then provides tailored risk management information. This study assessed the accuracy of the 10-year risk estimates using prospective data. METHODS: iPrevent-assigned 10-year invasive BC risk was calculated for 15 732 women aged 20-70 years and without BC at recruitment to the Prospective Family Study Cohort. Calibration, the ratio of the expected (E) number of BCs to the observed (O) number and discriminatory accuracy were assessed. RESULTS: During the 10 years of follow-up, 619 women (3.9%) developed BC compared with 702 expected (E/O = 1.13; 95% confidence interval [CI] =1.05 to 1.23). For women younger than 50 years, 50 years and older, and BRCA1/2-mutation carriers and noncarriers, E/O was 1.04 (95% CI = 0.93 to 1.16), 1.24 (95% CI = 1.11 to 1.39), 1.13 (95% CI = 0.96 to 1.34), and 1.13 (95% CI = 1.04 to 1.24), respectively. The C-statistic was 0.70 (95% CI = 0.68 to 0.73) overall and 0.74 (95% CI = 0.71 to 0.77), 0.63 (95% CI = 0.59 to 0.66), 0.59 (95% CI = 0.53 to 0.64), and 0.65 (95% CI = 0.63 to 0.68), respectively, for the subgroups above. Applying the newer IBIS version 8.0b in the iPrevent switching algorithm improved calibration overall (E/O = 1.06, 95% CI = 0.98 to 1.15) and in all subgroups, without changing discriminatory accuracy. CONCLUSIONS: For 10-year BC risk, iPrevent had good discriminatory accuracy overall and was well calibrated for women aged younger than 50 years. Calibration may be improved in the future by incorporating IBIS version 8.0b

    iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management

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    We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent® selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented in simple language and graphic formats for easy comprehension. iPrevent® then presents risk-adapted, evidence-based, guideline-endorsed management options. Development was an iterative process with regular feedback from multidisciplinary experts and consumers. To verify iPrevent®, risk factor data for 127 cases derived from the Australian Breast Cancer Family Study were entered into iPrevent®, IBIS (v7.02), and BOADICEA (v3.0). Consistency of the model chosen by iPrevent® (i.e., IBIS or BOADICEA) with the programmed iPrevent® model choice algorithm was assessed. Estimated breast cancer risks from iPrevent® were compared with those attained directly from the chosen risk assessment model (IBIS or BOADICEA). Risk management interventions displayed by iPrevent® were assessed for appropriateness. Risk estimation model choice was 100% consistent with the programmed iPrevent®logic. Discrepant 10-year and residual lifetime risk estimates of >1% were found for 1 and 4 cases, respectively, none was clinically significant (maximal variation 1.4%). Risk management interventions suggested by iPrevent® were 100% appropriate. iPrevent® successfully integrates the IBIS and BOADICEA risk assessment models into a decision support tool that provides evidence-based, risk-adapted risk management advice. This may help to facilitate precision breast cancer prevention discussions between women and their healthcare providers

    iPrevent

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    Curso de Especial InterésLa siguiente propuesta, contiene la información necesaria para poder asesorar y brindar una mejor atención a los procesos que son inherentes a la sexualidad del ser humano. El diseño de la creación de una aplicación llamada iPrevent, usada en aparatos tecnológicos como los móviles con sistema Android y Apple. Esta aplicación está encaminada a presentar y a exponer los distintos métodos anticonceptivos que se encuentran en el mercado, así mismo brindar un marco de conocimiento de cada uno, para facilitar la toma de decisiones de los adolescentes; de esta manera teniendo una correlación con la salud pública y mitigar los embarazos no deseados y posibles interrupciones voluntarias del embarazo (IVE) y uso de Métodos Anticonceptivos de emergencia en esta población.101 p.1. Resumen 2. Justificación 3. Marco teórico 4. Objetivos 5. Metodología 6. Estudio de mercadeo 7. Resultados 8. Discusión 9. Conclusiones y recomendaciones 10. Referencias 11. ApéndicesPregradoPsicólog

    The iPrevent Online Breast Cancer Risk Assessment and Risk Management Tool: Usability and Acceptability Testing

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    Background: iPrevent estimates breast cancer (BC) risk and provides tailored risk management information. Objective: The objective of this study was to assess the usability and acceptability of the iPrevent prototype. Methods: Clinicians were eligible for participation in the study if they worked in primary care, breast surgery, or genetics clinics. Female patients aged 18-70 years with no personal cancer history were eligible. Clinicians were first familiarized with iPrevent using hypothetical paper-based cases and then actor scenarios; subsequently, they used iPrevent with their patients. Clinicians and patients completed the System Usability Scale (SUS) and an Acceptability questionnaire 2 weeks after using iPrevent; patients also completed measures of BC worry, anxiety, risk perception, and knowledge pre- and 2 weeks post-iPrevent. Data were summarized using descriptive statistics. Results: The SUS and Acceptability questionnaires were completed by 19 of 20 clinicians and 37 of 43 patients. Usability was above average (SUS score >68) for 68% (13/19) clinicians and 76% (28/37) patients. The amount of information provided by iPrevent was reported as “about right” by 89% (17/19) clinicians and 89% (33/37) patients and 95% (18/19) and 97% (36/37), respectively, would recommend iPrevent to others, although 53% (10/19) clinicians and 27% (10/37) patients found it too long. Exploratory analyses suggested that iPrevent could improve risk perception, decrease frequency of BC worry, and enhance BC prevention knowledge without changing state anxiety. Conclusions: The iPrevent prototype demonstrated good usability and acceptability. Because concerns about length could be an implementation barrier, data entry has been abbreviated in the publicly available version of iPrevent

    The Crescent Student Newspaper, March 2, 2017

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    Student newspaper of George Fox University.https://digitalcommons.georgefox.edu/the_crescent/2462/thumbnail.jp

    Increase in colonic PRopionate as a method of prEVENTing weight gain in adults aged 20–40 years (iPREVENT): a multi-centre, double-blind, randomised, parallel-group study to investigate the efficacy of inulin-propionate ester versus inulin (control) in the prevention of weight gain over 12 months

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    Introduction: Overweight and obesity affects over 70% of the UK population and is a major risk factor for the development of co-morbidities, including type 2 diabetes and cardiovascular disease. There now exists a considerable evidence base for the management of obesity. However, this is not the case for the prevention of obesity. Preventing weight gain in periods of life where there is an elevated risk of fat mass expansion could be beneficial to preventing associated diseases in later life. This protocol investigates the impact of novel food ingredient inulin propionate ester (IPE) in the prevention of weight gain. This trial aims to investigate the primary hypothesis that IPE has a superior effect on preventing body weight gain, compared with inulin, in young (<40 years old) adults over 12 months, whilst also investigating several complementary mechanisms that may explain the prevention of weight gain and improved long-term energy balance from consuming IPE. Methods: In this multi-centre, double-blind, randomised, parallel-group study, eligible participants will be randomly assigned to consume 10g IPE or 10g inulin (control) daily for 12 months. Study visits will be conducted at baseline, two-month, six-month and 12-month time points. The primary outcome is weight gain from baseline to 12 months. Secondary outcomes will examine changes in metabolic and cardiovascular health biomarkers, body composition and appetite. A mechanistic sub-group will explore causal mechanisms around energy balance, body composition, appetite regulation and the gut microbiota. Based on the power calculation, the sample size required is 270 participants or 135 per study group. Ethics and dissemination: The trial protocol and participant-facing documents have been reviewed and approved, by the London Hampstead Ethics Committee (REC Reference 19/LO/0095, 29th January 2019). Upon completion, the trial results will be published in peer-reviewed journals and presented at scientific conferences. Trial registration number: ISRCTN16299902, 1st March 2018

    Free will as private determinism

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    This article suggests that our sense of free will is formed when others react to our behavior with surprise, even though our private knowledge tells us our behavior was determined by our preferences. Such surprised reactions, even when our behavior is from our perspective fully determined, lead us to infer that we exercise free will

    Penyuluhan Kesehatan tentang Adaptasi Kebiasaan Baru dan Pentingnya Vaksinasi COVID-19 pada Masyarakat idiiDesa Rumengkor Dua Kabupaten Minahasa

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    Right way to handle COVID-19 that can be done to fight the COVID-19 pandemic is to implement new normal adaptations so as not to get infected this disease. In addition to adapting new normals, it is also very important for COVID-19 vaccination to suppress then increasing number of cases. The aim of this health education is public can understand about the implementation and benefits of adapting new normals in the current new normal era and the importance of COVID-19 vaccination to prevent transmission of COVID-19 in the community. Problem solving uses lecture and simulation methods, as well as video, leaflets, and posters. The target of this activity is the community of Rumengkor Dua Village, Minahasa Regency. Result of this health education can increase the knowledge and skills of the community about adapting new normal up to 94.28%, as well as the willingness to vaccinate for COVID-19 increased to 94.29%. At the end of the activity, participants can adaptation of new normals, especially 5M, even participants were able to carry out the act of wearing masks and washing hands properly an correctly, and most of the participants were willing to be vaccinated. The application of adaptation to new normals in the community is an effort to prevent disease transmission, so it is necessary to carry out health education on an ongoing basis by health workers by involving all levels of society starting from village, health cadres, and the community
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