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• W4385836669 abstract "<sec> <title>BACKGROUND</title> Increasing harms related to prescription opioids over the past decade have led to the introduction of a range of key national and state policy initiatives across Australia. These include introducing a mandatory real-time prescription drug monitoring program (PDMP) in the state of Victoria from April 2020, and a series of changes to subsidies for opioids on the Pharmaceutical Benefit Scheme from June 2020. Together, these changes aim to influence opioid supply and reduce harms related to prescription opioids, yet few studies have specifically explored how these policies have influenced opioid prescribing and related harms in Australia. </sec> <sec> <title>OBJECTIVE</title> The aim of this study is to examine the impact of a range of opioid-related policies on hospital admissions and emergency department (ED) presentations, in Victoria, Australia. In particular, the study aims to understand the effect of various opioid policy and opioid prescribing changes on: (1) The number and rates of ED presentations and hospital admissions attributed to substance use (i.e opioid and non-opioid related), or mental ill-health (e.g., suicide, self-harm, anxiety, depression); (2) The association between differing opioid dose trajectories and the likelihood of ED presentations and hospital admissions related to substance use and mental ill-health; and (3) Whether changes in an individual’s opioid prescribing changes the risk related to ED presentations and hospital admissions related to substance use and mental ill-health. </sec> <sec> <title>METHODS</title> This is a population-level linked data study. General practice health records obtained from the Population Level Analysis and Reporting (POLAR) platform are linked with person-level data from three large hospital networks in Victoria, Australia. Interrupted time series (ITS) analysis will be used to examine the impact of opioid policies on a range of harms including the rates of presentations related to substance use (opioid and non-opioid), and mental ill-health among the primary care cohort. Group-based trajectory modelling and a case-crossover design will be used to further explore the impact of changes in opioid dosage and other covariates on opioid and non-opioid poisonings, and mental ill-health related presentations at the patient-level. </sec> <sec> <title>RESULTS</title> Given that this paper serves as a protocol, there are currently no results available. The de-identified primary health data was sourced from electronic medical records of ~4,717,000 patients from 542 consenting general practices over a 6-year period (2017-2022). Submission of results for publication is planned for early 2024. </sec> <sec> <title>CONCLUSIONS</title> This study will add to the limited evidence base to help understand the impact of opioid policies in Australia, including if intended or unintended outcomes are occurring as a result. Ethics approval has been obtained from the Monash University Human Research Ethics Committee (ID 76744), Monash Health (RES-22-0000-026A), Peninsula Health (SSA/76744/PH-2022), and Eastern Health (S22-032-76744). </sec> <sec> <title>CLINICALTRIAL</title> Protocol registration details EU PAS Register (EUPAS104005) </sec>" @default.
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• W4385836669 date "2023-08-14" @default.
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• W4385836669 title "Determining the impact of opioid policy on substance use and mental health related harms: protocol for a data linkage study (Preprint)" @default.
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• W4385836669 doi "https://doi.org/10.2196/preprints.51825" @default.
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