Browsing by Subject "Pharmacy practice"

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    Predicting pharmacy naloxone stocking and dispensing following a statewide standing order, Indiana 2016
    (Elsevier, 2018-07-01) Meyerson, B.E.; Agley, J.D.; Davis, A.; Jayawardene, W.; Hoss, A.; Shannon, D.J.; Ryder, P.T.; Ritchie, K.; Gassman, R.; Robert H. McKinney School of Law
    BACKGROUND: While naloxone, the overdose reversal medication, has been available for decades, factors associated with its availability through pharmacies remain unclear. Studies suggest that policy and pharmacist beliefs may impact availability. Indiana passed a standing order law for naloxone in 2015 to increase access to naloxone. OBJECTIVE: To identify factors associated with community pharmacy naloxone stocking and dispensing following the enactment of a statewide naloxone standing order. METHODS: A 2016 cross-sectional census of Indiana community pharmacists was conducted following a naloxone standing order. Community, pharmacy, and pharmacist characteristics, and pharmacist attitudes about naloxone dispensing, access, and perceptions of the standing order were measured. Modified Poisson and binary logistic regression models attempted to predict naloxone stocking and dispensing, respectively. RESULTS: Over half (58.1%) of pharmacies stocked naloxone, yet 23.6% of pharmacists dispensed it. Most (72.5%) pharmacists believed the standing order would increase naloxone stocking, and 66.5% believed it would increase dispensing. Chain pharmacies were 3.2 times as likely to stock naloxone. Naloxone stocking was 1.6 times as likely in pharmacies with more than one full-time pharmacist. Pharmacies where pharmacists received naloxone continuing education in the past two years were 1.3 times as likely to stock naloxone. The attempted dispensing model yielded no improvement over the constant-only model. CONCLUSIONS: Pharmacies with larger capacity took advantage of the naloxone standing order. Predictors of pharmacist naloxone dispensing should continue to be explored to maximize naloxone access.
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    Predictors of medication-related problems among medicaid patients participating in a pharmacist-provided telephonic medication therapy management program
    (Wiley Online Library, 2014-10) Snyder, Margie E.; Frail, Caitlin K.; Jaynes, Heather; Pater, Karen S.; Zillich, Alan J.; Medicine Faculty Volunteers, School of Medicine
    STUDY OBJECTIVE: To identify predictors of medication-related problems (MRPs) among Medicaid patients participating in a telephonic medication therapy management (MTM) program. DESIGN: Retrospective analysis of data from patients enrolled in a previously published study. DATA SOURCES: Two Medicaid administrative claims file databases (for health care utilization and prescription dispensing information) and one pharmacy organization file for MTM program information. PATIENTS: Seven hundred twelve adult Medicaid patients who participated in a statewide pharmacist-provided telephone-based MTM program and who received an initial medication therapy review. MEASUREMENTS AND MAIN RESULTS: The primary dependent variable was the number of MRPs detected during the initial medication therapy review. Secondary dependent variables were the detection of one or more MRPs related to indication, effectiveness, safety, and adherence. Predictor variables were selected a priori that, from the literature and our own practice experiences, were hypothesized as being potentially associated with MRPs: demographics, comorbidities, medication use, and health care utilization. Bivariate analyses were performed, and multivariable models were constructed. All predictor variables with significant associations (defined a priori as p<0.1) with the median number of MRPs detected were then entered into a three-block multiple linear regression model. The overall model was significant (p<0.001, R(2) = 0.064). Significant predictors of any MRPs (p<0.05) were total number of medications, obesity, dyslipidemia, and one or more emergency department visits in the past 3 months. For indication-related MRPs, the model was significant (p<0.001, R(2) = 0.049), and predictors included female sex, obesity, dyslipidemia, and total number of medications (p<0.05). For effectiveness-related MRPs, the model was significant (p<0.001, R(2) = 0.054), and predictors included bone disease and dyslipidemia (p<0.05). For safety-related MRPs, the model was significant (p<0.001, R(2) = 0.046), and dyslipidemia was a predictor (p<0.05). No significant predictors of adherence-related MRPs were identified. CONCLUSION: This analysis supports the relative importance of number of medications as a predictor of MRPs in the Medicaid population and identifies other predictors. However, given the models' low R(2) values, these findings indicate that other unknown factors are clearly important and that criteria commonly used for determining MTM eligibility may be inadequate in identifying appropriate patients for MTM in a Medicaid population.
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    Promoting consistent use of prescription drug monitoring programs (PDMP) in outpatient pharmacies: Removing administrative barriers and increasing awareness of Rx drug abuse
    (2015-08-07) Norwood, Connor W.; Wright, Eric R.
    Background Prescription drug monitoring programs (PDMPs) are proving to be valuable resources in fighting the prescription drug abuse epidemic through improved access to patient drug histories. Ninety-four percent of Indiana pharmacists have heard of Indiana's PDMP (INSPECT), only 71% of them reported using the program in 2012. Objective To identify barriers to PDMP use in outpatient pharmacies and determine the impact these barriers have on utilization. Methods A cross-sectional study examined pharmacists' knowledge and use of INSPECT. Bivariate analyses on utilization and perceived barriers were conducted using cross-tabulations and chi-squared tests. Multiple logistic regression examined the relationship between pharmacists' level of concern with prescription drug abuse and reported utilization. Results Pharmacists were significantly less likely to use INSPECT if they reported at least one barrier and 3 times more likely to use INSPECT if they reported no barrier. Pharmacists were 10 times more likely to use INSPECT and 18 times more likely to use it more consistently if they were extremely concerned about prescription drug abuse in their community as compared to those not at all concerned. Conclusion Strategies to improve utilization of PDMPs should look for innovative ways to limit barriers and build outpatient pharmacists' awareness of prescription drug abuse and misuse within their community.