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      Telepharmacy and Quality of Medication Use in Rural Areas, 2013–2019

      research-article
      , MPH, PhD 1 , , , PharmD 1 , , PharmD, PhD, MPH 2 , , PharmD, PhD 1
      Preventing Chronic Disease
      Centers for Disease Control and Prevention

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          Abstract

          Introduction

          Pharmacy closures in rural areas is an increasingly common problem. Closures disrupt medication access and decrease adherence to prescription medications. Telepharmacy is a potential solution to this problem; however, research on the relationship between telepharmacy and the quality of medication use is scarce. Our study sought to address this gap by comparing the quality of telepharmacies serving rural areas and traditional pharmacies that support them.

          Methods

          We obtained dispensing data for the first 18 months of operation from 3 telepharmacies and 3 traditional pharmacies located in the upper Midwest. We evaluated adherence for noninsulin diabetes medications, renin-angiotensin system antagonists, and statins, as well as inappropriate use of high-risk medications in older adults and statin use in persons with diabetes. All metrics were calculated using Medicare Part D specifications. We estimated the differences between telepharmacies serving rural areas and traditional pharmacies using generalized linear regression. We adjusted our models for potential sociodemographic and clinical confounders.

          Results

          A total of 2,832 patients contributed 4,402 observations to the quality measures. After covariate adjustment, we observed no significant differences between telepharmacies and traditional pharmacies for noninsulin diabetes medications, renin-angiotensin system antagonists, statins, and high-risk medications. However, statin use in persons with diabetes was higher in telepharmacies than traditional pharmacies.

          Conclusion

          We found that the quality of medication use at telepharmacies that serve rural areas was no worse than at traditional pharmacies. For communities considering the adoption of telepharmacy, results indicate that telepharmacies provide a suitable solution for expanding medication access and that using telepharmacy would not negatively affect the quality of medication use.

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          Most cited references15

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          Economic impact of medication non-adherence by disease groups: a systematic review

          Objective To determine the economic impact of medication non-adherence across multiple disease groups. Design Systematic review. Evidence review A comprehensive literature search was conducted in PubMed and Scopus in September 2017. Studies quantifying the cost of medication non-adherence in relation to economic impact were included. Relevant information was extracted and quality assessed using the Drummond checklist. Results Seventy-nine individual studies assessing the cost of medication non-adherence across 14 disease groups were included. Wide-scoping cost variations were reported, with lower levels of adherence generally associated with higher total costs. The annual adjusted disease-specific economic cost of non-adherence per person ranged from $949 to $44 190 (in 2015 US$). Costs attributed to ‘all causes’ non-adherence ranged from $5271 to $52 341. Medication possession ratio was the metric most used to calculate patient adherence, with varying cut-off points defining non-adherence. The main indicators used to measure the cost of non-adherence were total cost or total healthcare cost (83% of studies), pharmacy costs (70%), inpatient costs (46%), outpatient costs (50%), emergency department visit costs (27%), medical costs (29%) and hospitalisation costs (18%). Drummond quality assessment yielded 10 studies of high quality with all studies performing partial economic evaluations to varying extents. Conclusion Medication non-adherence places a significant cost burden on healthcare systems. Current research assessing the economic impact of medication non-adherence is limited and of varying quality, failing to provide adaptable data to influence health policy. The correlation between increased non-adherence and higher disease prevalence should be used to inform policymakers to help circumvent avoidable costs to the healthcare system. Differences in methods make the comparison among studies challenging and an accurate estimation of true magnitude of the cost impossible. Standardisation of the metric measures used to estimate medication non-adherence and development of a streamlined approach to quantify costs is required. PROSPERO registration number CRD42015027338.
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            Polypharmacy: Evaluating Risks and Deprescribing.

            Polypharmacy, defined as regular use of at least five medications, is common in older adults and younger at-risk populations and increases the risk of adverse medical outcomes. There are several risk factors that can lead to polypharmacy. Patient-related factors include having multiple medical conditions managed by multiple subspecialist physicians, having chronic mental health conditions, and residing in a long-term care facility. Systems-level factors include poorly updated medical records, automated refill services, and prescribing to meet disease-specific quality metrics. Tools that help identify potentially inappropriate medication use include the Beers, STOPP (screening tool of older people's prescriptions), and START (screening tool to alert to right treatment) criteria, and the Medication Appropriateness Index. No one tool or strategy has been shown to be superior in improving patient-related outcomes and decreasing polypharmacy risks. Monitoring patients' active medication lists and deprescribing any unnecessary medications are recommended to reduce pill burden, the risks of adverse drug events, and financial hardship. Physicians should view deprescribing as a therapeutic intervention similar to initiating clinically appropriate therapy. When deprescribing, physicians should consider patient/ caregiver perspectives on goals of therapy, including views on medications and chronic conditions and preferences and priorities regarding prescribing to slow disease progression, prevent health decline, and address symptoms. Point-of-care tools can aid physicians in deprescribing and help patients understand the need to decrease medication burden to reduce the risks of polypharmacy.
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              'Pharmacy Deserts' Are Prevalent In Chicago's Predominantly Minority Communities, Raising Medication Access Concerns

              Attempts to explain and address disparities in the use of prescription medications have focused almost exclusively on their affordability. However, the segregation of residential neighborhoods by race or ethnicity also may influence access to the pharmacies that, in turn, provide access to prescription medications within a community. We examined whether trends in the availability of pharmacies varied across communities in Chicago with different racial or ethnic compositions. We also examined the geographic accessibility of pharmacies to determine whether "pharmacy deserts," or low-access neighborhoods, were more common in segregated black and Hispanic communities than elsewhere. We found that throughout the period 2000-2012 the number of pharmacies was lower in segregated minority communities than in segregated white communities and integrated communities. In 2012 there were disproportionately more pharmacy deserts in segregated black communities, as well as in low-income communities and federally designated Medically Underserved Areas. Our findings suggest that public policies aimed at improving access to prescription medications may need to address factors beyond insurance coverage and medication affordability. Such policies could include financial incentives to locate pharmacies in pharmacy deserts or the incorporation of pharmacies into community health centers in Medically Underserved Areas.
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                Author and article information

                Journal
                Prev Chronic Dis
                Prev Chronic Dis
                PCD
                Preventing Chronic Disease
                Centers for Disease Control and Prevention
                1545-1151
                2020
                03 September 2020
                : 17
                : E101
                Affiliations
                [1 ]University of North Carolina Eshelman School of Pharmacy, Chapel Hill, North Carolina
                [2 ]University of Illinois College of Pharmacy, Chicago, Illinois
                Author notes
                Corresponding Author: Shweta Pathak, MPH, PhD, UNC Eshelman School of Pharmacy, Center for Medication Optimization, 2400 Kerr Hall, 301 Pharmacy Lane, Chapel Hill, NC 27599. Email: shpathak@ 123456email.unc.edu .
                Article
                20_0012
                10.5888/pcd17.200012
                7478153
                32886060
                19e91dfd-9b8e-47d5-a323-b90cd6603b5e
                Copyright @ 2020

                Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.

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                Original Research
                Peer Reviewed

                Health & Social care
                Health & Social care

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