150 research outputs found

    Abstract Feature Space Representation for Volumetric Transfer Function Exploration

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    The application of n-dimensional transfer functions for feature segmentation has become increasingly popular in volume rendering. Recent work has focused on the utilization of higher order dimensional transfer functions incorporating spatial dimensions (x,y, and z) along with traditional feature space dimensions (value and value gradient). However, as the dimensionality increases, it becomes exceedingly difficult to abstract the transfer function into an intuitive and interactive workspace. In this work we focus on populating the traditional two-dimensional histogram with a set of derived metrics from the spatial (x, y and z) and feature space (value, value gradient, etc.) domain to create a set of abstract feature space transfer function domains. Current two-dimensional transfer function widgets typically consist of a two-dimensional histogram where each entry in the histogram represents the number of voxels that maps to that entry. In the case of an abstract transfer function design, the amount of spatial variance at that histogram coordinate is mapped instead, thereby relating additional information about the data abstraction in the projected space. Finally, a non-parametric kernel density estimation approach for feature space clustering is applied in the abstracted space, and the resultant transfer functions are discussed with respect to the space abstraction

    Pharmacist Contributions to the U.S. Health Care System

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    Objective: The overall goal for this study was to conduct a segment analysis of the pharmacist workforce during 2009 based upon time spent in medication providing and in patient care services. Methods: Data for this study were obtained from the 2009 National Pharmacist Workforce Survey in which a random sample of 3,000 pharmacists was selected. Cluster analysis was used for identifying pharmacist segments and descriptive statistics were used for describing and comparing segments.Results: Of the 2,667 surveys that were presumed to be delivered to a pharmacist, 1,395 were returned yielding a 52.3% overall response rate. Of these, 1,200 responses were usable for cluster analysis. Findings from this study revealed five segments ofpharmacists: (1) Medication Providers, (2) Medication Providers who also Provide Patient Care, (3) Other Activity Pharmacists, (4) Patient Care Providers Who also Provide Medication, and (5) Patient Care Providers. The results showed that, in 2009, 41% of U.S. pharmacists were devoted wholly to medication providing (Medication Providers). Forty-three percent of pharmacists contributed significantly to patient care service provision (Medication Providers who also Provide Patient Care, Patient Care Providers who also Provide Medication, and Patient Care Providers) and the remaining 16% (Other Activity Pharmacists) contributed most of their time to business / organization management, research, education, and other health-system improvement activities. Conclusions: Based on the findings, we propose that the pharmacy profession currently has, and will continue to build, capacity for contributing to the U.S. health care system in new roles for which they have been identified. However, as shifts in professional roles occur, a great deal of capacity is required related to new service provision. Resources are scarce, so an understanding of the most appropriate timing for making such changes can lead to cost-effective use of limited resources for improving patient care

    Association Between Student Loan Debt on Graduation, Demographic Characteristics and Initial Choice of Practice Setting of Pharmacists

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    Objectives: (1) To examine trends in level of student loan indebtedness for groups of pharmacists that were first licensed between 1980 and 2006; (2) To examine if demographic variables are associated with level of student loan indebtedness; (3) To examine the association between student loan debt and choice of practice setting while controlling for demographic variables. Methods: Data for this study were collected from a national random sample of 3,000 pharmacists using a self administered survey. Descriptive statistics were used to examine trends in level of indebtedness. The relationships between level of indebtedness, demographic variables and practice setting choice were examined using Chi-square statistics. Multinomial logistic regression was used to determine the independent association of student loan debt and choice of practice setting while controlling for demographic variables. Results: The proportion of licensed pharmacists reporting student loan debt after graduation, and the mean amount of debt incurred increased between 1980 and 2006. Non-white pharmacists incurred debt at a higher proportion compared to white, and they also incurred significantly higher levels of debt. A lower level of indebtedness was associated with choosing independent practice over chain practice. Conclusions: Student loan indebtedness has been increasing over time, especially for non-white pharmacy students. Future research should be done to examine other factors that might influence student debt load, work contributions and choice of practice settings. The affordability of pharmacy education for students of color and how salaries may or may not help off-set these costs also should be examined closely.   Type: Original Researc

    Identifying Services Provided in Community Pharmacy Practice Settings

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    Background: To better address their patients’ needs, community pharmacists are expanding from their traditional role of dispensing to managing medications and providing other care. Objective: This study characterized services reported by pharmacists practicing in community pharmacy settings in the 2019 National Pharmacist Workforce Study (NPWS). Methods: The 2019 NPWS was conducted via an online survey. E-mails containing survey links were sent to a systematic random sample of 96,110 U.S. pharmacists. The survey allowed tailoring of questions related to specific practice settings and for respondents in community pharmacies included reporting on delivery of twelve services. Other descriptive characteristic questions included pharmacy type, staffing, monitoring activities, self-reported workload, and respondent demographics. An index was created by summing the number of yes responses for the service questions. This index served as the dependent variable in an ordinary least squares regression examining the association of work setting chacateristics with the index. Results: Usable responses were received from 2,150 community pharmacists. The top four services were: administer vaccines (91.1%), patient medication assistance program (83.7%), naloxone dispensing (72.8%) and medication synchronization (67.2%). The regression model was significant, with supermarket pharmacies having a higher service index than large chains. Elevated service index scores were associated with more technicians on duty, CPESN participation, direct communication with primary care providers, practicing under a CPA and  monitoring activities. Conclusions: Pharmacy operational characteristics were important influences on the delivery of services in community pharmacies. These findings can help inform the continuing transformation of community pharmacy practice
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