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      HIV treatment regimens and adherence to national guidelines in Australia: an analysis of dispensing data from the Australian pharmaceutical benefits scheme

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          Abstract

          Background

          Treatment guidelines for antiretroviral therapy (ART) have evolved to emphasize newer regimens that address ageing-related comorbidities. Using national Australian dispensing data we compare ART regimens with Australian HIV treatment guidelines in the context of treated comorbidities.

          Methods

          The study population included all individuals in a 10% sample of national data from the Australian Pharmaceutical Benefits Scheme (PBS) who purchased a prescription of ART during 2016. We defined each patient’s most recently dispensed ART regimen and characterized them to evaluate regimen complexity and adherence to national HIV treatment guidelines. We then analyzed ART regimens in the context of other co-prescriptions purchased for defined comorbidities.

          Results

          The 1995 patients in our sample purchased 212 different ART regimens during 2016; 1524 (76.4%) purchased one of the top ten most common regimens of which 62.3% were integrase strand transfer inhibitor-based. Among the 1786 (90%) patients that purchased the most common regimens, 83.7% purchased a regimen recommended by the guidelines for initial antiretroviral therapy and 11.4% purchased antiretrovirals that are not recommended for initial therapy; < 1% of the entire cohort purchased medications not recommended for use. While most patients purchased optimal ART regimens with low potential for significant drug interactions, regimen choices in the setting of risk factors for heart disease, renal disease and low bone mineral density appeared suboptimal.

          Conclusions

          Australian HIV providers are prescribing ART regimens in accordance with updated treatment guidelines, but could further optimize regimens in the setting of important medical comorbidities.

          Electronic supplementary material

          The online version of this article (10.1186/s12889-018-6325-5) contains supplementary material, which is available to authorized users.

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          Most cited references17

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          Opioid Prescribing in the United States Before and After the Centers for Disease Control and Prevention's 2016 Opioid Guideline

          Background: In response to adverse outcomes from prescription opioids, the Centers for Disease Control and Prevention (CDC) released the Guideline for Prescribing Opioids for Chronic Pain in March 2016. Objective: To test the hypothesis that the CDC guideline release corresponded to declines in specific opioid prescribing practices. Design: Interrupted time series analysis of monthly prescribing measures from the IQVIA transactional data warehouse and Real-World Data Longitudinal Prescriptions population-level estimates based on retail pharmacy data. Population size was determined by U.S. Census monthly estimates. Setting: United States, 2012 to 2017. Patients: Persons prescribed opioid analgesics. Measurements: Outcomes included opioid dosage, days supplied, overlapping benzodiazepine prescriptions, and the overall rate of prescribing. Results: The rate of high-dosage prescriptions (≥90 morphine equivalent milligrams per day) was 683 per 100 000 persons in January 2012 and declined by 3.56 (95% CI, −3.79 to −3.32) per month before March 2016 and by 8.00 (CI, −8.69 to −7.31) afterward. Likewise, the percentage of patients with overlapping opioid and benzodiazepine prescriptions was 21.04% in January 2012 and declined by 0.02% (CI, −0.04% to −0.01%) per month before the CDC guideline release and by 0.08% (CI, −0.08% to −0.07%) per month afterward. The overall opioid prescribing rate was 6577 per 100 000 persons in January 2012 and declined by 23.48 (CI, −26.18 to −20.78) each month before the guideline release and by 56.74 (CI, −65.96 to −47.53) per month afterward. Limitation: No control population; inability to determine the appropriateness of opioid prescribing. Conclusion: Several opioid prescribing practices were decreasing before the CDC guideline, but the time of its release was associated with a greater decline. Guidelines may be effective in changing prescribing practices. Primary Funding Source: CDC.
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            The Australian Pharmaceutical Benefits Scheme data collection: a practical guide for researchers

            Background The Pharmaceutical Benefits Scheme (PBS) is Australia’s national drug subsidy program. This paper provides a practical guide to researchers using PBS data to examine prescribed medicine use. Findings Excerpts of the PBS data collection are available in a variety of formats. We describe the core components of four publicly available extracts (the Australian Statistics on Medicines, PBS statistics online, section 85 extract, under co-payment extract). We also detail common analytical challenges and key issues regarding the interpretation of utilisation using the PBS collection and its various extracts. Conclusions Research using routinely collected data is increasing internationally. PBS data are a valuable resource for Australian pharmacoepidemiological and pharmaceutical policy research. A detailed knowledge of the PBS, the nuances of data capture, and the extracts available for research purposes are necessary to ensure robust methodology, interpretation, and translation of study findings into policy and practice.
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              Prevalence and risk factors of nonalcoholic fatty liver disease in HIV-monoinfection.

              To identify the prevalence and risk factors of nonalcoholic fatty liver disease (NAFLD), nonalcoholic steatohepatitis (NASH) and fibrosis in HIV-monoinfected patients.
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                Author and article information

                Contributors
                +61 (02) 9385 0992 , ndharan@kirby.unsw.edu.au
                tom_rado1@hotmail.com
                Samuel.che@prospection.com.au
                kpetoumenos@kirby.unsw.edu.au
                prabjot.juneja@prospection.com.au
                mlaw@kirby.unsw.edu.au
                rhuang2295@gmail.com
                hmcmanus@kirby.unsw.edu.au
                mpolizzotto@kirby.unsw.edu.au
                rguy@kirby.unsw.edu.au
                peter.cronin@prospection.com.au
                rgray@kirby.unsw.edu.au
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                3 January 2019
                3 January 2019
                2019
                : 19
                : 13
                Affiliations
                [1 ]ISNI 0000 0004 4902 0432, GRID grid.1005.4, Kirby Institute, UNSW Sydney, ; Wallace Wurth Building, Sydney, NSW 2052 Australia
                [2 ]Prospection Pty Ltd, Eveleigh, NSW Australia
                Author information
                http://orcid.org/0000-0003-1175-5962
                Article
                6325
                10.1186/s12889-018-6325-5
                6318998
                30606134
                35a23553-b46c-48f9-a21c-3536949989b7
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 4 September 2018
                : 14 December 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100009947, Merck Sharp and Dohme;
                Funded by: Kirby Institute, University of New South Wales
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Public health
                hiv,art guidelines,drug-drug interactions,pharmaceutical benefits scheme,comorbidities

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