Nelsonhartvigsen1039

Z Iurium Wiki

Verze z 1. 10. 2024, 14:11, kterou vytvořil Nelsonhartvigsen1039 (diskuse | příspěvky) (Založena nová stránka s textem „There is a lack of quality literature describing third-party reimbursement models for pharmacist-led preventive health services, which hinders the ability…“)
(rozdíl) ← Starší verze | zobrazit aktuální verzi (rozdíl) | Novější verze → (rozdíl)

There is a lack of quality literature describing third-party reimbursement models for pharmacist-led preventive health services, which hinders the ability to implement a standardized model. High quality studies evaluating the cost of reimbursing pharmacist-led cardiovascular preventive health services compared to the savings to the third-party payer should be performed to inform the standardization of payment models.

There is a lack of quality literature describing third-party reimbursement models for pharmacist-led preventive health services, which hinders the ability to implement a standardized model. High quality studies evaluating the cost of reimbursing pharmacist-led cardiovascular preventive health services compared to the savings to the third-party payer should be performed to inform the standardization of payment models.Pharmacy has traditionally been a highly regulated profession. In a recent study, the state with the largest pharmacy regulatory word count had 6.7 times as many words as the state with the lowest word count. Given the wide variation in state pharmacy regulations, this paper seeks to spark discussion on how we can assess public safety outcomes in states based on the overall volume of pharmacy regulation with a focus on 1) fitness to practice; 2) controlled substance outcomes; and 3) compounding safety. In examining these categories, existing data sources are limited and suboptimal, though formal disciplinary actions against pharmacy licensees are very infrequent. Thus, it seems preferable for states to have a regulatory framework that allows boards of pharmacy to deal with the rare public safety issues that occur, while not holding back the vast majority of pharmacists from practicing to the top of their education and training.

Proton pump inhibitors (PPIs) are among the most commonly used medications by patients due to its availability over the counter and frequent prescribing by physicians to treat and alleviate symptoms of gastroesophageal reflux disease. Recently, the FDA issued a warning with respect to the utilization of PPIs and risk of developing Clostridium difficile infections (CDI). The most commonly known medications to cause CDI are antibiotics. However, available studies suggest an association and increase in risk for CDI with PPI use as well.

The purpose of this research is to review and summarize data currently available on the association between PPIs and CDI.

To search for eligible studies, EBSCO engines were investigated using proton pump inhibitors or PPIs and Clostridium difficile or C. diff. as search terms. Meta analyses and systematic reviews published between 2000 and 2020 on adult patients were considered.

Eight meta-analyses and systematic reviews met the inclusion criteria. They included studies conducted in the US, Europe, Asia and Canada on inpatient and outpatient adults. The final result for all 8 studies showed a statistically significant association between PPIs and CDI ranging from mild to high risk.

Currently available data suggest a positive association between PPIs and CDI.

Currently available data suggest a positive association between PPIs and CDI.

There is a paucity of validation evidence for assessing clinical case-presentations by Doctor of Pharmacy (PharmD) students. Within Kane's Framework for Validation, evidence for inferences of scoring and generalization should be generated first. Thus, our objectives were to characterize and improve scoring, as well as build initial generalization evidence, in order to provide validation evidence for performance-based assessment of clinical case-presentations.

Third-year PharmD students worked up patient-cases from a local hospital. Students orally presented and defended their therapeutic care-plan to pharmacist preceptors (evaluators) and fellow students. Evaluators scored each presentation using an 11-item instrument with a 6-point rating-scale. In addition, evaluators scored a global-item with a 4-point rating-scale. Rasch Measurement was used for scoring analysis, while Generalizability Theory was used for generalization analysis.

Thirty students each presented five cases that were evaluated by 15 prring should be simple (scale and instrument). More specifically, the longer 11-item instrument measured but had redundancy, whereas the single global-item provided measurement over multiple case-presentations. Further, acceptable reliability can be balanced between more/fewer case-presentations and using more/fewer evaluators.

In hospitalized patients, hyperglycemia is defined as blood glucose greater than 140 mg/dL. Hyperglycemia can lead to the development of nosocomial infections as well as cardiovascular events. Despite these risks, current guidelines recommend blood glucose be maintained between 140-180 mg/dL. Previous studies have shown that elevated blood glucose levels are associated with increased patient mortality. However, these studies assessed blood glucose at a single point in time.

The primary objective of this study is to determine the impact of average blood glucose >140 mg/dL on a composite outcome of intensive care unit transfer, death, length of stay > 4 days, development of nosocomial infection, or new cardiovascular event (myocardial infarction [MI], ischemic stroke, deep vein thrombosis [DVT], pulmonary embolism [PE], or new onset heart failure) occurring during patient admission.

This single centered, randomized, case-control, retrospective chart review sorted adult medical/surgical patients into two groups, average blood glucose ≤140 mg/dL or >140 mg/dL, of 120 patients each.

Forty-seven (39.2%) patients in the >140 mg/dL group experienced the primary composite outcome versus 27 (22.5%) patients in the ≤140 mg/dL group (p=0.005). Secondary outcomes found that patients with diabetes in the >140 mg/dL group were more likely to experience the primary outcome than those in the ≤140 mg/dL group (41 (48.8%) vs 3 (13.6%) p=0.003).

This study found that medical/surgical patients with an average blood glucose >140 mg/dL may be at an increased risk of developing adverse patient outcomes.

140 mg/dL may be at an increased risk of developing adverse patient outcomes.

High-stakes decision-making should have sound validation evidence; reliability is vital towards this. A short exam may not be very reliable on its own within didactic courses, and so supplementing it with quizzes might help. But how much? This study's objective was to understand how much reliability (for the overall module-grades) could be gained by adding quiz data to traditional exam data in a clinical-science module.

In didactic coursework, quizzes are a common instructional strategy. However, individual contexts/instructors can vary quiz use formatively and/or summatively. Second-year PharmD students took a clinical-science course, wherein a 5-week module focused on cardiovascular therapeutics. Generalizability Theory (G-Theory) combined seven quizzes leading to an exam into one module-level reliability, based on a model where students were crossed with items nested in eight fixed testing occasions (mGENOVA used). Furthermore, G-Theory decision-studies were planned to illustrate changes in module-graditems lent to higher reliability. However, using quizzes predominantly formatively had little impact on reliability, while using quizzes more summatively (i.e., increasing their relative-weight in module-grade) improved reliability further. Thus, depending on use, quizzes can add to a course's rigor.COVID-19 is an infectious respiratory and vascular disease caused by SARS-CoV-2. This virus was first identified in Wuhan, China and caused an ongoing pandemic. The World Health Organization (WHO) declared the outbreak a public health emergency of international concern in January 2020 and a pandemic in March 2020. Reports suggest that patients experience persistent deficits in pulmonary and cognitive functioning, as well as multifaceted health issues and worsened quality of life. From records in Italy and France, COVID-19 survivors experience the return of symptoms. COVID-19 survivors need specialist investigation once they have been discharged from hospital. No proper guidelines are recommending that COVID-19 survivors should be under assessment. We intended to provide a model to assist local healthcare systems to establish post-COVID recovery assessment clinic(s) for CVOID-19 survivors. Our model will enable COVID-19 patients' access to multi-professional advice, so that they are put onto the right clinical pathway to treat their symptoms. Furthermore, the findings of different specialties in post-COVID recovery assessment clinic(s) may help doctors determine the best discharge plan for COVID-19 patients.It has been noted on numerous occasions that modeled claims for cost-effectiveness, if driven by assumption for the lifetime of a hypothetical patient population, can be easily 'gamed' to create a required claim. These marketing exercises to support product entry are all too common in the literature. The institute for Clinical and Economic Review (ICER) in its launch of the ICER Analytics platform has provided a framework to support precisely these activities. Following the mainstream methodology in health technology assessment, the ICER Analytics platform facilitates the creation of approximate information to support formulary decisions. This is an odd development because it undercuts ICERs belief that it is the key arbiter in health technology assessment in the US, setting the stage for pricing and access recommendations. With the release of the ICER Analytics platform, others can now customize the 'backbone' ICER model in a disease area (i.e., change assumptions) to develop alternative and competing value assessments and 'fair' price claims. The problem is, of course, that without a reference point, there is no basis for comparing modeled claims other than through challenging assumptions. CCT245737 Indeed, ICER has made this easy by reducing barriers to lifetime model building so that manufacturers and others can create competing (and confusing) claims within, literally, a few minutes. ICER will then become one of a multitude of competing voices for the attention of formulary committees and other health decision makers; letting a thousand imaginary models bloom where no model can be judged on the basis of credible, empirically evaluable and replicable product claims.

Community pharmacy practice needs to demonstrate services beyond traditional dispensing roles to continue to function in a changing marketplace. Pharmacists have established themselves as being capable of improving patient outcomes and saving healthcare dollars by providing disease management services to patients. This paper describes a sustained community pharmacy-run disease management program that continued after a grassroots grant-funding effort in 2007.

The city of Colorado Springs recognized the successes shown by the pharmacy during the Ten City Challenge funded project, and decided to financially support pharmacy diabetes care services. Partnering with the local School of Pharmacy, the pharmacist obtained advanced training and continued to deliver individualized counseling and management to approximately 100 patients per year for the past 14 years. Objective lab measurements (systolic and diastolic blood pressures, A1C values, total lipid profiles) were obtained or performed, and clinical goals were set based on national guidelines.

Autoři článku: Nelsonhartvigsen1039 (Wichmann Serup)