UHSP Collections (University of Health Sciences and Pharmacy)
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Gift Card Policy - Interim
The purpose of this policy is to set forth the guidelines and procedures for the purchase and distribution of gift cards/certificates purchased with University funds to ensure compliance with tax withholding and reporting obligations
Travel Expense Policy - Interim
This purpose of this policy is to describe the guidelines and procedures related to expenses incurred while traveling for the University. Travel expenses should be normal, reasonable and should be incurred to further the educational, research, and development goals of the University.
This is the overall University travel policy. Departmental travel policies may be put in place that are more restrictive or that add procedures to operationalize the policy for the department. These departmental policies should be reviewed and approved by the Business Office before being put into effect.
Applies to all members of the University community as well as any individual whose travel is funded by the University
Effect of piperacillin/tazobactam restriction on usage and rates of acute renal failure
A piperacillin/tazobactam (PT) restriction was initiated at our institution on 15 July 2012 requiring clinical pharmacy or infectious diseases approval for durations exceeding 72 h. A retrospective review was undertaken to determine whether this restriction decreased PT usage and/or rates of acute renal failure (ARF) (defined as a 50% increase or 0.5 mg dl–1 increase in serum creatinine from baseline). Patients prescribed at least 1 day of PT with a creatinine clearance of ≥39 ml min–1 at the time of initiation in the 3 months prior to the restriction were compared with patients in the 5 months after restriction implementation. Overall, 115 unique patients were included in the pre-implementation group and compared with 117 unique patients in the post-implementation group. The pre-implementation group received a mean of 5.22 days of PT, compared with 4.71 days in the post-implementation group (P=0.224). Ten per cent (12/115) of patients in the pre-implementation group developed ARF compared with 9.17% (11/120) of patients in the post-implementation group (P=0.0309). Ninety-five patients in the pre-implementation group and 91 in the post-implementation group received combination therapy with vancomycin. ARF occurred in 11.6% (11/95) of those in the pre-implementation group and 12.1% (11/91) in the post-implementation (P \u3e 0.05). Overall, 11.8% (22/186) of patients who received therapy with PT and vancomycin developed ARF, compared with 1.7% (1/56) who received PT monotherapy (P \u3c 0.0001). This restriction resulted in a numeric reduction in the number of PT days in the post-implementation group and a significant reduction in the rate of ARF
Review of pharmacotherapy options for the management of obesity
Purpose: To highlight the prevalence and impact of obesity in the United States and provide nurse practitioners (NPs) with an overview of pharmacotherapy options for treatment of overweight and obese individuals. Data source: A comprehensive review of the literature was conducted using multiple databases, including PubMed, MEDLINE, and Ovid. Keywords used to obtain relevant articles included obesity and drug, or orlistat, topiramate/phentermine, lorcaserin, bupropion/naltrexone, and liraglutide. Conclusions: Obesity is a prevalent disease with more than two thirds of Americans being considered overweight and one third being obese. Obesity places patients at an increased risk for many comorbidities that impact patient health as well as public health. There are currently five approved medications for the chronic management of obesity, two of which were approved in 2014. These pharmacological therapies are options to aid weight loss in patients that are obese or those who are overweight with additional risk factors. Implications for practice: NPs can assist patients struggling with their weight. With new pharmacotherapy options, there is an opportunity to add to diet and exercise in order to achieve increased weight loss. A decrease in obesity would potentially alleviate the burden on the healthcare system, both socially and economically, and improve patient quality of life
Patient-perceived content and formatting expectations for prescription container labeling
Objectives: The objectives of the study were to identify patient expectations for prescription label content and formatting and to explore how United States Pharmacopeia Chapter 17 Standards for prescription container labeling meet patient expectations. Design: Focus group. Setting: St. Louis, Missouri, in July and August 2014. Participants: Patients 18 years and older who were taking at least 2 chronic prescription medications and managing their medications independently. Main Outcome Measure: Qualitative themes. Intervention: Not applicable. Methods: Five focus groups (17 total participants) were conducted in St. Louis in 2014. Focus groups were audio-recorded and consent was obtained from the participants. The audio files were professionally transcribed. Atlas.ti software (version 7.5.3) was used to analyze the transcript data, which were then coded to identify key themes. To ensure consistency of interpretation, a constant comparative analytic framework approach was used. Results: Analysis produced 6 themes related to patient perceptions and expectations of prescription label content and formatting: importance of drug name, dose, and directions; lack of side effects on the label; improved organization and larger font size; using the color red; lack of familiarity with auxiliary labels; and the importance of pharmacy information. Themes focused on how patients use prescription labels and the relative value of different aspects of prescription container labeling. Conclusions: Patient-perceived prescription content and formatting expectations for prescription container labeling were generally consistent with published USP Chapter 17 guidelines. The importance of pharmacy phone numbers, white space, and highlighting were noteworthy
Difference in student pharmacist attitudes and readiness for interprofessional learning after an activity with student nurses
Background: Some research suggests that despite positive attitudes toward IPE at the start of health professions programs, a decline in positivity is often seen. Purpose: To determine if there is a difference between student pharmacist and nurse attitudes for interprofessional learning and to determine if readiness scores change for student pharmacists after an IPE experience. Results: At baseline, there was no difference in student pharmacists and student nurses RIPLS scores. Post-IPE experience, scores declined significantly (p \u3c 0.05) for all but three RIPLS items (questions #9, #14, and #19). Conclusion: While student pharmacists and student nurses have positive attitudes toward IPE prior to a structured experience, post-experience attitudes toward IPE declines in student pharmacists
Real-time automated clinical deterioration alerts predict thirty-day hospital readmission
INTRODUCTION: Clinical deterioration alerts (CDAs) are increasingly employed to identify deteriorating patients. METHODS: We performed a retrospective study to determine whether CDAs predict 30-day readmission. Patients admitted to 8 general medicine units were assessed for all-cause 30-day readmission. RESULTS: Among 3015 patients, 567 (18.8%) were readmitted within 30 days. Patients triggering a CDA (n = 1141; 34.4%) were more likely to have a 30-day readmission (23.6% vs 15.9%; P \u3c 0.001). Logistic regression identified triggering of a CDA to be independently associated with 30-day readmission (odds ratio [OR]: 1.40; 95% confidence interval [CI]: 1.26-1.55; P = 0.001). Other predictors were: an emergency department visit in the previous 6 months (OR: 1.23; 95% CI:, 1.20-1.26; P \u3c 0.001), increasing age (OR: 1.01; 95% CI: 1.01-1.02; P = 0.003), presence of connective tissue disease (OR: 1.63; 95% CI: 1.34-1.98; P = 0.012), diabetes mellitus with end-organ complications (OR: 1.23; 95% CI: 1.13-1.33; P = 0.010), chronic renal disease (OR: 1.16; 95% CI: 1.08-1.24; P = 0.034), cirrhosis (OR: 1.25; 95% CI: 1.17-1.33; P \u3c 0.001), and metastatic cancer (OR: 1.12; 95% CI: 1.08-1.17; P = 0.002). Addition of the CDA to the other predictors added only modest incremental value for the prediction of hospital readmission. CONCLUSIONS: Readily identifiable clinical variables can be identified that predict 30-day readmission. It may be important to include these variables in existing prediction tools if pay for performance and across-institution comparisons are to be “fair” to institutions that care for more seriously ill patients. Journal of Hospital Medicine 2016;11:768–772. © 2016 Society of Hospital Medicine
Predicting proximity with ambient mobile sensors for non-invasive health diagnostics
Modern smart phones are becoming helpful in the areas of Internet-Of-Things (IoT) and ambient health intelligence. By learning data from several mobile sensors, we detect nearness of the human body to a mobile device in a three-dimensional space with no physical contact with the device for non-invasive health diagnostics. We show that the human body generates wave patterns that interact with other naturally occurring ambient signals that could be measured by mobile sensors, such as, temperature, humidity, magnetic field, acceleration, gravity, and light. This interaction consequentially alters the patterns of the naturally occurring signals, and thus, exhibits characteristics that could be learned to predict the nearness of the human body to a mobile device, hence provide diagnostic information for medical practitioners. Our prediction technique achieved 88.75% accuracy and 88.3% specificity
Learning sentiment dependent Bayesian network classifier for online product reviews
Analyzing sentiments for polarity classification has recently gained attention in the literature with different machine learning techniques performing moderately. The challenge is that sentiment-dependent information from multiple sources are not considered often in existing sentiment classification techniques. In this study, we propose a logical approach that maximizes the true sentiment class probabilities of the popular Bayesian Network for a more effective sentiment classification task using the individual word sentiment scores from SentiWordNet. We emphasize on creating dependency networks with quality variables by using a sentiment-dependent scoring technique that penalizes the existing Bayesian Network scoring functions such as K2, BDeu, Entropy, AIC and MDL. The outcome of this technique is called Sentiment Dependent Bayesian Network. Empirical results on eight product review datasets from different domains suggest that a sentiment-dependent scoring mechanism for Bayesian Network classifier could improve the accuracy of sentiment classification by 2% and achieve up to 86.7% accuracy on specific domains
Seroprevalence and associated factors of 9-valent human papillomavirus (HPV) types among men in the multinational him study
Background Human papillomavirus (HPV) is one of the most common sexually transmitted infections worldwide. Recently a 9-valent HPV (9vHPV) prophylactic vaccine was licensed. Seroprevalence prior to vaccine dissemination is needed for monitoring vaccine effectiveness over time. Few studies have assessed the seroprevalence of 9vHPV types in men. Objectives To investigate the seroprevalence of 9vHPV vaccine types and associated risk factors among men residing in Brazil, Mexico, and the United States. Methods Six hundred men were randomly selected from the HPV Infection in Men (HIM) Study. Archived serum specimens collected at enrollment were tested for antibodies against nine HPV types (6, 11, 16, 18, 31, 33, 45, 52 and 58) using a glutathione S-transferase (GST) L1-based multiplex serologic assay. Socio-demographic, lifestyle and sexual behavior data at enrollment were collected through a questionnaire. Binomial proportions were used to estimate seroprevalence and logistic regression was used to examine factors associated with seropositivity of type-specific and grouped (i.e. 9vHPV, high-risk 9vHPV, low risk 9vHPV, and five-additional) HPV types. Results Overall, 28.3% of men were seropositive for at least one of the 9vHPV vaccine types, 14.0% for at least one of the seven high-risk types (16, 18, 31, 33, 45, 52 and 58) and 11.2% for at least one of the five high-risk types (31, 33, 45, 52 and 58) not included in the quadrivalent HPV vaccine, and 17.4% for at least one of the low-risk types (6/11). In multivariate analyses, odds ratios adjusted (AOR) for country of residence, age, marital status, smoking, number of anal sex lifetime partners, compared to men with no anal sex lifetime partners, men with ≥2 partners were more likely to be seropositive for grouped HPV [(9vHPV: AOR 2.52; 95% confidence interval (CI) 1.40-4.54), (high-risk 9vHPV: AOR 2.18; 95%CI: 1.05-4.50) and (low-risk 9vHPV: AOR 2.12; 95%CI: 1.12-4.03)], and individual HPV types 6, 16, 33 and 58 with AORs ranging from 2.19 to 7.36. Compared to men aged 18-30 years, men older than 30 years were significantly more likely to be seropositive for any high-risk 9vHPV, in addition to individual types 18 and 45; and compared to never smokers, current smokers were more likely to be seropositive to 9vHPV, low-risk 9vHPV and HPV 6. In contrast, married men were less likely to be seropositive to any high-risk 9vHPV and individual HPV types 18 and 31 when compared to single men. Conclusions These data indicate that exposure to the nine HPV types included in the 9vHPV vaccine is common in men and that seropositivity to 9vHPV vaccine types is associated with older age and the lifetime number of anal sex partners. Nine valent HPV vaccination of males and females has the potential to prevent HPV related diseases and transmission in both sexes