1,049 research outputs found

    IVHS Education Program

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    https://deepblue.lib.umich.edu/bitstream/2027.42/154098/1/gillespie1990.pd

    Implementation of a Tool to Modify Behavior in a Chronic Disease Management Program

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    Chronic diseases like diabetes, hypertension, and dyslipidemia continue to be a significant burden on the US health care system. As a result, many healthcare providers are implementing strategies to prevent the incidence of heart disease and other chronic conditions. Among these strategies are proper drug therapy and lifestyle modifications. Behavior change is often the rate-limiting step in the prevention and maintenance of lifestyle modifications. The purpose of this paper is to describe a tool used to guide the progression and assess the effectiveness of a cardiovascular risk reduction program. The tool uses the Transtheoretical Model of Behavior Change to determine the readiness and confidence to change specific lifestyle behaviors pertinent to cardiovascular health. The tool aids the practitioner in developing a patient-centered plan to implement and maintain lifestyle changes and can be tailored to use in any situation requiring a behavior change on the part of the patient

    Development and Implementation of a Novel Lifestyle Medicine Advanced Pharmacy Practice Experience Elective

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    Objective: To develop and implement an Advanced Pharmacy Practice Experience (APPE) to increase student’s awareness and use of lifestyle modifications in chronic disease prevention and management. Design: A five-week APPE was developed that utilized a wide variety of activities, including direct patient care, patient education, case studies, journal clubs and reflective assessment and writing to explore various lifestyle modifications and their relation to chronic disease prevention and management. Conclusion: The novel lifestyle medicine APPE provides students a unique opportunity to advance their knowledge in therapeutic lifestyle changes and expand their understanding of the pharmacist’s role in chronic disease prevention and management

    Development and Implementation of a Novel Lifestyle Medicine Advanced Pharmacy Practice Experience Elective

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    Objective: To develop and implement an Advanced Pharmacy Practice Experience (APPE) to increase student's awareness and use of lifestyle modifications in chronic disease prevention and management. Design: A five-week APPE was developed that utilized a wide variety of activities, including direct patient care, patient education, case studies, journal clubs and reflective assessment and writing to explore various lifestyle modifications and their relation to chronic disease prevention and management. Conclusion: The novel lifestyle medicine APPE provides students a unique opportunity to advance their knowledge in therapeutic lifestyle changes and expand their understanding of the pharmacist's role in chronic disease prevention and management.   Type: Idea Pape

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    Chronic diseases like diabetes, hypertension, and dyslipidemia continue to be a significant burden on the US health care system. As a result, many healthcare providers are implementing strategies to prevent the incidence of heart disease and other chronic conditions. Among these strategies are proper drug therapy and lifestyle modifications. Behavior change is often the rate-limiting step in the prevention and maintenance of lifestyle modifications. The purpose of this paper is to describe a tool used to guide the progression and assess the effectiveness of a cardiovascular risk reduction program. The tool uses the Transtheoretical Model of Behavior Change to determine the readiness and confidence to change specific lifestyle behaviors pertinent to cardiovascular health. The tool aids the practitioner in developing a patient-centered plan to implement and maintain lifestyle changes and can be tailored to use in any situation requiring a behavior change on the part of the patient

    Analytical study of non Gaussian fluctuations in a stochastic scheme of autocatalytic reactions

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    A stochastic model of autocatalytic chemical reactions is studied both numerically and analytically. The van Kampen perturbative scheme is implemented, beyond the second order approximation, so to capture the non Gaussianity traits as displayed by the simulations. The method is targeted to the characterization of the third moments of the distribution of fluctuations, originating from a system of four populations in mutual interaction. The theory predictions agree well with the simulations, pointing to the validity of the van Kampen expansion beyond the conventional Gaussian solution.Comment: 15 pages, 8 figures, submitted to Phys. Rev.

    Molecular Epidemiology of Cross-Species Giardia duodenalis Transmission in Western Uganda

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    Giardia duodenalis is a common protozoan parasite that infects multiple mammalian species, including humans. We analyzed G. duodenalis from people, livestock, and wild non-human primates in forest fragments near Kibale National Park, western Uganda, where habitat disturbance and human-animal interaction are high. Molecular analyses indicated that endangered red colobus monkeys were infected with G. duodenalis assemblages BIV and E, which characteristically infect humans and livestock, respectively. G. duodenalis infected people at rates of up to 67.5% in one village, and people age 15 years or younger were especially likely to be infected. G. duodenalis infection in people was not associated with other factors related to behavior and hygiene, and infected people were no more likely to have reported gastrointestinal symptoms than were uninfected people. These results demonstrate that G. duodenalis transmission from humans and domestic animals to wildlife may occur with ease in locations such as western Uganda, where habitat disturbance causes ecological overlap among people, livestock, and primates. This conclusion has conservation implications for wildlife such as red colobus, which are already endangered by habitat loss

    Automated Text Messaging With Patients in Department of Veterans Affairs Specialty Clinics: Cluster Randomized Trial

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    BACKGROUND: Acceptability of mobile phone text messaging as a means of asynchronous communication between health care systems and patients is growing. The US Department of Veterans Affairs (VA) has adopted an automated texting system (aTS) for national rollout. The aTS allows providers to develop clinical texting protocols to promote patient self-management and allows clinical teams to monitor patient progress between in-person visits. Texting-supported hepatitis C virus (HCV) treatment has not been previously tested. OBJECTIVE: Guided by the Practical, Robust Implementation and Sustainability Model (PRISM), we developed an aTS HCV protocol and conducted a mixed methods, hybrid type 2 effectiveness implementation study comparing two programs supporting implementation of the aTS HCV protocol for medication adherence in patients with HCV. METHODS: Seven VA HCV specialty clinics were randomized to usual aTS implementation versus an augmented implementation facilitation program. Implementation process measures included facilitation metrics, usability, and usefulness. Implementation outcomes included provider and patient use of the aTS HCV protocol, and effectiveness outcomes included medication adherence, health perceptions and behaviors, and sustained virologic response (SVR). RESULTS: Across the seven randomized clinics, there were 293 facilitation events using a core set of nine implementation strategies (157 events in augmented implementation facilitation, 136 events in usual implementation). Providers found the aTS appropriate with high potential for scale-up but not without difficulties in startup, patient selection and recruitment, and clinic workflow integration. Patients largely found the aTS easy to use and helpful; however, low perceived need for self-management support contributed to high declination. Reach and use was modest with 197 patients approached, 71 (36%) enrolled, 50 (25%) authenticated, and 32 (16%) using the aTS. In augmented implementation facilitation clinics, more patients actively used the aTS HCV protocol compared with usual clinic patients (20% vs 12%). Patients who texted reported lower distress about failing HCV treatment (13/15, 87%, vs 8/15, 53%; P=.05) and better adherence to HCV medication (11/15, 73%, reporting excellent adherence vs 6/15, 40%; P=.06), although SVR did not differ by group. CONCLUSIONS: The aTS is a promising intervention for improving patient self-management; however, augmented approaches to implementation may be needed to support clinician buy-in and patient engagement. Considering the behavioral, social, organizational, and technical scale-up challenges that we documented, successful and sustained implementation of the aTS may require implementation strategies that operate at the clinic, provider, and patient levels. TRIAL REGISTRATION: Retrospectively registered at ClinicalTrials.gov NCT03898349; https://clinicaltrials.gov/ct2/show/NCT03898349. Jessica Lipschitz, Beth Ann Petrakis, Chris Gillespie, D Keith McInnes

    Efficient Parallel Statistical Model Checking of Biochemical Networks

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    We consider the problem of verifying stochastic models of biochemical networks against behavioral properties expressed in temporal logic terms. Exact probabilistic verification approaches such as, for example, CSL/PCTL model checking, are undermined by a huge computational demand which rule them out for most real case studies. Less demanding approaches, such as statistical model checking, estimate the likelihood that a property is satisfied by sampling executions out of the stochastic model. We propose a methodology for efficiently estimating the likelihood that a LTL property P holds of a stochastic model of a biochemical network. As with other statistical verification techniques, the methodology we propose uses a stochastic simulation algorithm for generating execution samples, however there are three key aspects that improve the efficiency: first, the sample generation is driven by on-the-fly verification of P which results in optimal overall simulation time. Second, the confidence interval estimation for the probability of P to hold is based on an efficient variant of the Wilson method which ensures a faster convergence. Third, the whole methodology is designed according to a parallel fashion and a prototype software tool has been implemented that performs the sampling/verification process in parallel over an HPC architecture

    Medication Adherence Improvements in Employees Participating in a Pharmacist-Run Risk Reduction Program

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    Objective: To evaluate the medication adherence of individuals participating in a pharmacist-run employee health Cardiovascular and Diabetes Risk Reduction Program. Design: Retrospective analysis of medication adherence using pharmacy refill data. Setting: A medium sized university located in the Midwest United States and the organization's outpatient pharmacy. Participants: 38 participants ≥ 18 years of age, employed and receiving their health insurance through the organization, and have a diagnosis of hypertension, hyperlipidemia, diabetes mellitus, or a combination thereof. Intervention: Participation in the risk reduction program that emphasizes medication therapy management (MTM), lifestyle medicine and care coordination. Main Outcome Measures: The Proportion of Days Covered (PDC) and the Medication Possession Ratio (MPR). Results: PDC and MPR analysis showed a statistically significant improvement in medication adherence for 180 days and 360 days post enrollment versus the 180 days prior to enrollment (P<0.01). The PDC analysis demonstrated a statistically significant improvement in the number of medications that achieved a PDC ≥ 80% (high adherence) for the 180 days post enrollment versus the 180 days prior to enrollment (+30%, P<0.01). The MPR analysis showed a non-statistically significant improvement in the number of medications that achieved an MPR ≥ 80% (high adherence) pre enrollment versus post enrollment (+10%, P=0.086). The percentage of participants in the program that reached a PDC and MPR adherence rate ≥ 80% at 180 days post enrollment was 78.9% and 94.4%, respectively which exceeds that of a matched cohort that reached a PDC and MPR adherence rate ≥ 80% of 66.4% and 82.8%, respectively. Conclusion: Pharmacists can improve medication adherence as measured by PDC and MPR when working with employees enrolled in a novel pharmacist-run employee health risk reduction program. Medication adherence was shown to be sustainable for at least one year and was shown to be better when compared to a matched cohort of similar age, condition and region.   Type: Original Researc
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