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Aim: Sodium‐glucose cotransporter 2 inhibitors (SGLT2is) and glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) improve glycaemic control and cardio‐renal outcomes for people with type 2 diabetes (T2D). However, geographic and socio‐economic variation in use is not well understood. Methods: We identified 367 829 New South Wales residents aged ≥40 years who dispensed metformin in 2020 as a proxy for T2D. We estimated the prevalence of use of other glucose‐lowering medicines among people with T2D and the prevalence of SGLT2i and GLP‐1RA use among people using concomitant T2D therapy (i.e. metformin + another glucose‐lowering medicine). We measured the prevalence by small‐level geography, stratified by age group, and characterized by remoteness and socio‐economic status. Results: The prevalence of SGLT2i (29.7%) and GLP‐1RA (8.3%) use in people with T2D aged 40‐64 increased with geographic remoteness and in areas of greater socio‐economic disadvantage, similar to other glucose‐lowering medicines. The prevalence of SGLT2i (55.4%) and GLP‐1RA (15.4%) among people using concomitant T2D therapy varied across geographic areas, with lower SGLT2i use in more disadvantaged areas and localized areas of high GLP‐1RA use (2.5 times the median). Compared with people aged 40‐64 years, the prevalence of SGLT2i and GLP‐1RA use was lower in older age groups, but with similar patterns of variation across geographic areas. Conclusions: The prevalence of SGLT2i and GLP‐1RA use varied by geography, probably reflecting a combination of system‐ and prescriber‐level factors. Socio‐economic variation in GLP‐1RA use was overshadowed by localized patterns of prescribing. Continued monitoring of variation can help shape interventions to optimize use among people who would benefit the most. [ABSTRACT FROM AUTHOR]

Background: International evidence suggests patients receiving cardiac interventions experience differential outcomes by their insurance status. We investigated outcomes of in-hospital care according to insurance status among patients admitted in public hospitals with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Methods: We conducted a cohort study within the Australian universal health care system with supplemental private insurance. Using linked hospital and mortality data, we included patients aged 18 + years admitted to New South Wales public hospitals with AMI and undergoing their first PCI from 2017–2020. We measured hospital-acquired complications (HACs), length of stay (LOS) and in-hospital mortality among propensity score-matched private and publicly funded patients. Matching was based on socio-demographic, clinical, admission and hospital-related factors. Results: Of 18,237 inpatients, 30.0% were privately funded. In the propensity-matched cohort (n = 10,630), private patients had lower rates of in-hospital mortality than public patients (odds ratio: 0.59, 95% CI: 0.45–0.77; approximately 11 deaths avoided per 1,000 people undergoing PCI procedures). Mortality differences were mostly driven by STEMI patients and those from major cities. There were no significant differences in rates of HACs or average LOS in private, compared to public, patients. Conclusion: Our findings suggest patients undergoing PCI in Australian public hospitals with private health insurance experience lower in-hospital mortality compared with their publicly insured counterparts, but in-hospital complications are not related to patient health insurance status. Our findings are likely due to unmeasured confounding of broader patient selection, socioeconomic differences and pathways of care (e.g. access to emergency and ambulatory care; delays in treatment) that should be investigated to improve equity in health outcomes. [ABSTRACT FROM AUTHOR]

Purpose: To investigate trends in SGLT2i and GLP-1RA use in Australia in the era of increased evidence of their cardiovascular benefits. Methods: We used national dispensing claims for a 10% random sample of Australians to estimate the number of prevalent and new users (no dispensing in the prior year) of SGLT2i or GLP-1RA per month from January 2014 to July 2022. We assessed prescriber specialty and prior use of other antidiabetic and cardiovascular medicines as a proxy for evidence of type 2 diabetes (T2D) and cardiovascular conditions, respectively. Results: We found a large increase in the number of prevalent users (216-fold for SGLT2i; 11-fold for GLP-1RA); in July 2022 approximately 250,000 Australians were dispensed SGLT2i and 120,000 GLP-1RA. Most new users of SGLT2i or GLP-1RA had evidence of both T2D and cardiovascular conditions, although from 2022 onwards, approximately one in five new users of SGLT2i did not have T2D. The proportion of new users initiating SGLT2i by cardiologists increased after 2021, reaching 10.0% of initiations in July 2022. Among new users with evidence of cardiovascular conditions, empagliflozin was the most commonly prescribed SGLT2i, while dulaglutide or semaglutide was the most common GLP-1RA. Conclusion: SGLT2i and GLP-1RA use is increasing in Australia, particularly in populations with higher cardiovascular risk. The increased use of SGLT2i among people without evidence of T2D suggests that best-evidence medicines are adopted in Australia across specialties, aligning with new evidence and expanding indications. [ABSTRACT FROM AUTHOR]

Pharmacy dispensing data are useful for estimating adherence to therapy. Here, we implement multiple adherence measures to antiretroviral therapy (ART) and provide an online tool for visualising results. We conducted a cohort study for 2,042 people dispensed ART in Australia. We assessed adherence using the Proportion of Days Covered (PDC) within 360 days of follow-up as a continuous measure and dichotomised (PDC ≥80%). We defined a covered day as the 1) exposure to ≥3 antiretrovirals at the same time 2) exposure to any antiretroviral 3) lowest number of days covered per antiretroviral 4) average of days covered over all antiretrovirals 5) highest number of days covered per antiretroviral. For each method, we conducted sensitivity analyses. The median PDC ranged between 93.3%−98.3%. Between 67.0%−87.7% of individuals were classified as adherent, with higher values for measure 2 (85.5%−89.7%) and lower values for measure 3 (67.0%−70.9%). Censoring loss to follow-up had a higher impact on adherence estimates than considering a grace period. The variation in adherence estimates can be substantial, especially when dichotomising adherence. Researchers should consider operationalising multiple measures to estimate adherence bounds and identify a range of people at risk of non-adherence for targeted interventions. [ABSTRACT FROM AUTHOR]

Aims: We quantified concomitant medicine use and occurrence of potential drug–drug interactions in people living with HIV in Australia who are treated with antiretroviral therapy (ART). Methods: In this cohort study using dispensing claims of a 10% random sample of Australians, we identified 2230 people dispensed ART between January 2018 and December 2019 (mean age 49.0 years, standard deviation 12.0 years, 88% male). We examined concomitant medicine use by identifying nontopical medicines dispensed within 90‐days of any antiretroviral medicine dispensing during a 12‐month follow‐up period. For every antiretroviral and nonantiretroviral pair, we identified and classified possible drug–drug interactions using the University of Liverpool HIV drug interactions database. Results: A total of 1728 (78%) people were dispensed at least 1 and 633 (28%) 5 or more unique medicines in addition to ART in a 12‐month period; systemic anti‐infectives and medicines acting on the nervous system were the most common (68% and 56%, respectively). Among comedicated people, 1637 (95%) had at least 1 medicine combination classified as weak interactions, 558 (32%) interactions requiring close monitoring/dose adjustment and 94 (5%) that should not be coadministered. Contraindication or interactions requiring close monitoring/dose adjustment were more common among people receiving protease inhibitors (50–73% across different antiretrovirals), non‐nucleoside reverse transcriptase inhibitors (35–64%), people using single‐tablet combinations containing elvitegravir (30–46%) and those using tenofovir disoproxil (26–30%). Conclusion: Concomitant medicine use is widespread among people living with HIV in Australia. Despite a relatively low prevalence of contraindicated medicines, almost a third received medicines that require close monitoring or dose adjustment. [ABSTRACT FROM AUTHOR]

Background: Depression and anxiety affect 4–14% of Australians every year; symptoms may have been exacerbated during the COVID-19 pandemic. We examined recent patterns of antidepressant use in Australia in the period 2015–2021, which includes the first year of the pandemic. Methods: We used national dispensing claims for people aged ⩾10 years to investigate annual trends in prevalent and new antidepressant use (no antidepressants dispensed in the year prior). We conducted stratified analyses by sex, age group and antidepressant class. We report outcomes from 2015 to 2019 and used time series analysis to quantify changes during the first year of the COVID-19 pandemic (March 2020–February 2021). Results: In 2019, the annual prevalence of antidepressant use was 170.4 per 1000 women and 101.8 per 1000 men, an increase of 7.0% and 9.2% from 2015, respectively. New antidepressant use also increased for both sexes (3.0% for women and 4.9% for men) and across most age groups, particularly among adolescents (aged 10–17 years; 46–57%). During the first year of the COVID-19 pandemic, we observed higher than expected prevalent use (+2.2%, 95% CI = [0.3%, 4.2%]) among females, corresponding to a predicted excess of 45,217 (95% CI = [5,819, 84,614]) females dispensed antidepressants. The largest increases during the first year of the pandemic occurred among female adolescents for both prevalent (+11.7%, 95% CI = [4.1%, 20.5%]) and new antidepressant use (+15.6%, 95% CI = [8.5%, 23.7%]). Conclusion: Antidepressant use continues to increase in Australia overall and especially among young people. We found a differential impact of the COVID-19 pandemic in treated depression and anxiety, greater among females than males, and greater among young females than other age groups, suggesting an increased mental health burden in populations already on a trajectory of increased use of antidepressants prior to the pandemic. Reasons for these differences require further investigation. [ABSTRACT FROM AUTHOR]

Background: People with severe mental illness have a higher rate of premature death than the general population, largely due to primary care preventable diseases. There has been little research on the health profile of this population attending Australian general practices. Methods: In this nationwide cross-sectional study, MedicineInsight data for adult patients regularly attending general practices in 2018 were analysed to estimate the prevalence of schizophrenia or bipolar disorders (SBD) and investigate the health profile of people with SBD compared with other patients. Multilevel models clustered by practice (n = 565) and patient, and practice characteristics were created. Results: The prevalence of recorded SBD was 1.91% (95% CI = 1.88%–1.94%) among the 618 849 patients included. Patients with recorded SBD were more likely than other patients to have records of health risk factors, particularly smoking (aOR = 3.8, 95% CI = 3.6–3.9) and substance use (aOR = 5.9, 95% CI = 5.6–6.3), and higher probabilities of comorbidities including cardiovascular diseases (aOR = 1.3, 95% CI = 1.2–1.4), cancer (aOR = 1.1, 95% CI = 1.0–1.2), diabetes mellitus type 2 (aOR = 2.2, 95% CI = 2.0–2.3), chronic kidney diseases (aOR = 1.7, 95% CI = 1.5–2.0), chronic liver diseases (aOR = 3.3, 95% CI = 2.6–4.0) and chronic respiratory diseases (aOR = 1.7, 95% CI = 1.7–1.8). Conclusions: The higher prevalence of health risk factors and comorbidities among patients with recorded SBD underscores the need for proactive health risk monitoring and preventive care to address this health inequity. People with severe mental illness die about 20 years earlier than those in the general population, mostly due to preventable diseases. Data on those who attend general practice in Australia are lacking. This study describes higher rates of socioeconomic disadvantage, risk factors such as smoking and chronic diseases such as diabetes mellitus type 2 relative to other patients. The results add further weight to the call for more proactive preventive care for people with severe mental illness to address this health inequity. [ABSTRACT FROM AUTHOR]

The lifetime use of combination antiretroviral therapy (cART) highlights the need to understand patterns of and factors associated with adherence to cART. In this cohort study using a 10% random sample of dispensing claims data for eligible Australians, we identified 2042 people dispensed cART between January 2016 and December 2017 (mean age 48.0 ± 12.0 years old, 88.6% male, and 85.9% treatment experienced). We considered people to be adherent if the proportion of treatment coverage days was ≥80% in the 360 days after their first observed cART dispensing. We also used group-based trajectory modeling (GBTM) to examine different patterns of adherence for 360 days from first observed cART dispensing. Most commonly, people receiving cART were treated with two nucleoside/nucleotide reverse transcriptase inhibitors with an integrase strand transfer inhibitors (INSTI—46.6%). Overall, 1708 people [83.6% (95% confidential interval 82.0–85.3%)] remained adherent over 360 days. GBTM identified three distinct adherence patterns: nearly always adherent [67.8% (63.7–71.9%) of the cohort], moderate adherence [26.6% (23.0–30.1%)], and low adherence [5.6% (4.1–7.2%)]. People were more likely to belong to the "nearly always adherent" trajectory if they were older (per additional year of age), treated with an INSTI regimen, and on treatment for more than 6 months. Our study demonstrates that the 360-day adherence to cART is generally high, but approximately one-third maintain a moderate or low adherence pattern. The use of INSTI regimens and additional support of treatment adherence, especially among younger people and those initiating therapy, may further improve adherence. [ABSTRACT FROM AUTHOR]