Predictors of persistent opioid use in Australian primary care: A retrospective cohort study, 2018-2022.

OBJECTIVE: To examine the predictors of persistent opioid use ('persistence') in people initiating opioids for non-cancer pain in Australian primary care. DESIGN: A retrospective cohort study. SETTING: Australian primary care. SUBJECTS: People prescribed opioid analgesics between 2018-2022, identified through the Population Level Analysis and Reporting (POLAR) database. METHODS: Persistence was defined as receiving opioid prescriptions for at least 90 days with a gap of less than 60 days between subsequent prescriptions. Multivariable logistic regression was used to examine the predictors of persistent opioid use. RESULTS: The sample consisted of 343,023 people initiating opioids for non-cancer pain; of these, 16,527 (4.8%) developed persistent opioid use. Predictors of persistence included older age (≥75 vs 15-44 years: Adjusted odds ratio: 1.67, 95% CI: 1.58-1.78), concessional beneficiary status (1.78, 1.71-1.86), diagnosis of substance use disorder (1.44, 1.22-1.71) and chronic pain (2.05, 1.85-2.27), initiation of opioid therapy with buprenorphine (1.95, 1.73-2.20) and long-acting opioids (2.07, 1.90-2.25), provision of higher quantity of opioids prescribed at initiation (total OME of ≥ 750mg vs < 100mg: 7.75, 6.89-8.72), provision of repeat/refill opioid prescriptions at initiation (2.94, 2.77-3.12), and prescription of gabapentinoids (1.59, 1.50-1.68), benzodiazepines (1.43, 1.38-1.50) and z-drugs (e.g., zopiclone, zolpidem; 1.61, 1.46-1.78). CONCLUSIONS: These findings add to the limited evidence of individual-level factors associated with persistent opioid use. Further research is needed to understand the clinical outcomes of persistent opioid use in people with these risk factors to support the safe and effective prescribing of opioids.

Prevalence of psychotropic medication dispensing to people living with cystic fibrosis in Australia: 2013-2022.

OBJECTIVE: People living with cystic fibrosis (PwCF) are at increased risk of mental health conditions. There is little evidence addressing psychotropic medication use in PwCF. This study aimed to estimate the dispensing prevalence of antidepressant, anxiolytic, antipsychotic, psychostimulant, and hypnotic/sedative medication in PwCF in Australia between 2013 and 2022. METHOD: A 10% random sample of Australian Pharmaceutical Benefits Scheme data was used to identify PwCF and their medications between 2013 and 2022. Annual prevalence of psychotropic medication dispensing was estimated using a 3-year rolling average, stratified by sex, age, and medication class. RESULTS: Psychotropic medications were dispensed to 206/478 (41.3%) PwCF. Antidepressant and anxiolytic dispensing prevalence was highest in adult females, increasing from 201 5 by 50% to their peak in 2021 (antidepressants 36.8%; anxiolytics 12.3%). Psychostimulant prevalence was highest in adolescent males and increased over three-fold during the study period from 3.6% to 13.2%. The prevalence of antipsychotic medication was lower than other classes with adult females having the highest prevalence (3.1% and 5.8% in 201 5 and 2022 respectively). Hypnotic/sedative medications remained consistently low or decreased in all groups except male children, where it increased from 0.6% to 2.8% from 201 5 to 2022. CONCLUSION: Psychotropic medication use is higher among Australian PwCF compared to the general population, with varying prevalence across age and sex groups. This is of interest due to complexities with CF comorbidities and potential medication influences and interactions. Future studies should investigate the reasons for psychotropic use disparities within PwCF with the aim to establish targeted guidelines and optimize outcomes.

Patterns of 12-Month Post-Myocardial Infarction Medication Use According to Revascularisation Strategy: Analysis of 15,339 Admissions in Victoria, Australia.

AIM: Clinical guidelines recommend secondary prevention medications following myocardial infarction (MI) regardless of revascularisation strategy. Studies suggest that there is variation in post-MI medication use following percutaneous coronary intervention (PCI) and coronary artery bypass grafts (CABG). We investigated initial dispensing and 12-month patterns of medication use according to revascularisation strategy following non-ST-elevation MI (NSTEMI). METHOD: We included all public and private hospital admissions for NSTEMI for patients aged ≥30 years in Victoria, Australia, between July 2012 and June 2017. We investigated initial dispensing of P2Y12 inhibitors (P2Y12i), statins (total and high intensity), angiotensin-converting-enzyme inhibitors (ACEi)/angiotensin receptor blockers (ARB), and beta blockers within 60 days after discharge. Twelve-month post-MI medication use was estimated as the proportion of days covered (PDC) over a 12-month period from the date of hospital discharge. Analyses were performed using adjusted regression models, stratified by revascularisation strategy. RESULTS: There were 15,399 admissions for NSTEMI: 11,754 with PCI and 3,645 with CABG. Following adjustments, predicted probability of initial dispensing in the PCI and CABG groups, respectively, was 0.94 (95% confidence interval 0.93-0.95) vs 0.17 (0.13-0.21) for P2Y12i; 0.69 (0.66-0.71) vs 0.42 (0.37-0.48) for ACEi/ARB; 0.59 (0.57-0.62) vs 0.69 (0.64-0.74) for beta blockers; 0.89 (0.87-0.91) vs 0.89 (0.85-0.92) for statins; and 0.60 (0.57-0.62) vs 0.69 (0.63-0.73) for high intensity statins. The 12-month PDC in the PCI and CABG groups, respectively, was 0.82 (0.80-0.83) vs 0.12 (0.09-0.15) for P2Y12i; 0.62 (0.60-0.65) vs 0.43 (0.39-0.48) for ACEi/ARB; 0.53 (0.51-0.55) vs 0.632 (0.58-0.66) for beta blockers; 0.79 (0.78-0.81) vs 0.78 (0.74-0.81) for statins; and 0.49 (0.47-0.51) vs 0.55 (0.50-0.59) for high intensity statins. CONCLUSIONS: Post-discharge dispensing of secondary prevention medications differed with respect to revascularisation strategy from 2012 to 2017, despite clear evidence of benefit during this period. Interventions may be needed to address possible clinician and patient uncertainty about the benefits of secondary prevention medications, regardless of revascularisation strategy.

The impact of frailty on initiation, continuation and discontinuation of secondary prevention medications following myocardial infarction.

AIM: To evaluate the association between frailty and initiating, continuing, or discontinuing secondary prevention medications following myocardial infarction (MI). METHODS: We conducted a cohort study using linked health data, including all adults aged ≥65 years who discharged from hospital following MI from January 2013 to April 2018 in Victoria, Australia (N = 29,771). The Hospital Frailty Risk Score (HFRS) was used to assess frailty. Logistic regression was used to investigate associations of frailty with initiation, continuation, and discontinuation of secondary prevention medications (P2Y12 inhibitor antiplatelets, beta-blockers, renin-angiotensin-aldosterone system (RAAS) inhibitors, and lipid-lowering therapies) in the 90 days from discharge post-MI, by HFRS, adjusted for age, sex, and Charlson Comorbidity Index. RESULTS: Increasing frailty was associated with lower probability of initiating and continuing P2Y12 inhibitors, RAAS inhibitors, and lipid-lowering therapies, but not beta-blockers. At at an HFRS of 0, the predicted probabiliy of having all four medications initiated or continued was 0.59 (95 %CI 0.57-0.62) for STEMI and 0.35 (0.34-0.36) for non-STEMI, compared to 0.38 (0.33-0.42) and 0.16 (0.14-0.18) at an HFRS of 15. Increasing frailty was associated with higher probability of discontinuing these medications post-MI. The predicted probability of discontinuing at least one secondary prevention medication post-MI at an HFRS of 0 was 0.10 (0.08-0.11) for STEMI and 0.14 (0.13-0.15) for non-STEMI, compared to 0.27 (0.22-0.32) and 0.34 (0.32-0.36) at an HFRS of 15. CONCLUSION: People with higher levels of frailty were managed more conservatively following MI than people with lower levels of frailty. Whether this conservative treatment is justified warrants further study.

Trajectories of prescription opioid tapering in patients with chronic non-cancer pain: a retrospective cohort study, 2015-2020.

OBJECTIVE: To identify common opioid tapering trajectories among patients commencing opioid taper from long-term opioid therapy for chronic non-cancer pain and to examine patient-level characteristics associated with these different trajectories. DESIGN: A retrospective cohort study. SETTING: Australian primary care. SUBJECTS: Patients prescribed opioid analgesics between 2015 and 2020. METHODS: Group-based trajectory modeling and multinomial logistic regression analysis were conducted to determine tapering trajectories and to examine demographic and clinical factors associated with the different trajectories. RESULTS: A total of 3369 patients commenced a taper from long-term opioid therapy. Six distinct opioid tapering trajectories were identified: low dose / completed taper (12.9%), medium dose / faster taper (12.2%), medium dose / gradual taper (6.5%), low dose / noncompleted taper (21.3%), medium dose / noncompleted taper (30.4%), and high dose / noncompleted taper (16.7%). A completed tapering trajectory from a high opioid dose was not identified. Among patients prescribed medium opioid doses, those who completed their taper were more likely to have higher geographically derived socioeconomic status (relative risk ratio [RRR], 1.067; 95% confidence interval [CI], 1.001-1.137) and less likely to have sleep disorders (RRR, 0.661; 95% CI, 0.463-0.945) than were those who didn't complete their taper. Patients who didn't complete their taper were more likely to be prescribed strong opioids (eg, morphine, oxycodone), regardless of whether they were tapered from low (RRR, 1.444; 95% CI, 1.138-1.831) or high (RRR, 1.344; 95% CI, 1.027-1.760) doses. CONCLUSIONS: Those prescribed strong opioids and high doses appear to be less likely to complete tapering. Further studies are needed to evaluate the clinical outcomes associated with the identified trajectories.

Using administrative healthcare data to evaluate drug repurposing opportunities for cancer: the possibility of using beta-blockers to treat breast cancer.

Introduction: Cancer registries and hospital electronic medical records are commonly used to investigate drug repurposing candidates for cancer. However, administrative data are often more accessible than data from cancer registries and medical records. Therefore, we evaluated if administrative data could be used to evaluate drug repurposing for cancer by conducting an example study on the association between beta-blocker use and breast cancer mortality. Methods: A retrospective cohort study of women aged ≥50 years with incident breast cancer was conducted using a linked dataset with statewide hospital admission data and nationwide medication claims data. Women receiving beta blockers and first-line anti-hypertensives prior to and at diagnosis were compared. Breast cancer molecular subtypes and metastasis status were inferred by algorithms from commonly prescribed breast cancer antineoplastics and hospitalization diagnosis codes, respectively. Subdistribution hazard ratios (sHR) and corresponding 95% confidence intervals (CIs) for breast cancer mortality were estimated using Fine and Gray's competing risk models adjusted for age, Charlson comorbidity index, congestive heart failure, myocardial infraction, molecular subtype, presence of metastasis at diagnosis, and breast cancer surgery. Results: 2,758 women were hospitalized for incident breast cancer. 604 received beta-blockers and 1,387 received first-line antihypertensives. In total, 154 breast cancer deaths were identified over a median follow-up time of 2.7 years. We found no significant association between use of any beta-blocker and breast-cancer mortality (sHR 0.86, 95%CI 0.58-1.28), or when stratified by beta-blocker type (non-selective, sHR 0.42, 95%CI 0.14-1.25; selective, sHR 0.95, 95%CI 0.63-1.43). Results were not significant when stratified by molecular subtypes (e.g., triple negative breast cancer (TNBC), any beta blocker, sHR 0.16, 95%CI 0.02-1.51). Discussion: It is possible to use administrative data to explore drug repurposing opportunities. Although non-significant, an indication of an association was found for the TNBC subtype, which aligns with previous studies using registry data. Future studies with larger sample size, longer follow-up are required to confirm the association, and linkage to clinical data sources are required to validate our methodologies.

Cohort profile: Using primary care data to understand Opioid Prescribing, Policy Impacts and Clinical Outcomes (OPPICO) in Victoria, Australia.

PURPOSE: The OPPICO cohort is a population-based cohort based on non-identifiable electronic health records routinely collected from 464 general practices in Victoria, Australia, created with the aim of understanding opioid prescribing, policy impacts and clinical outcomes. The aim of this paper is to provide a profile of the study cohort by summarising available demographic, clinical and prescribing characteristics. PARTICIPANTS: The cohort described in this paper comprises people who were aged at least 14 years at cohort entry, and who were prescribed an opioid analgesic at least once at participating practices for a total of 1 137 728 person-years from 1 January 2015 to 31 December 2020. The cohort was formed using the data collected from electronic health records through the Population Level Analysis and Reporting (POLAR) system. The POLAR data primarily consist of patient demographics, clinical measurements, Australian Medicare Benefits Scheme item numbers, diagnoses, pathology testing and prescribed medications. FINDING TO DATE: In total, the cohort consists of 676 970 participants with 4 389 185 opioid prescription records from 1 January 2015 to 31 December 2020. Approximately half (48.7%) received a single opioid prescription, and 0.9% received more than 100 opioid prescriptions. The mean number of opioid prescriptions per patient was 6.5 (SD=20.9); prescriptions for strong opioids accounted for 55.6% of all opioid prescriptions. FUTURE PLANS: The OPPICO cohort data will be used for various types of pharmacoepidemiological research, including examining the impact of policy changes on coprescription of opioids with benzodiazepines and gabapentin, and monitoring trends and patterns of other medication utilisation. Through data-linkage between our OPPICO cohort and hospital outcome data, we will examine whether policy changes for opioid prescribing lead to changes in prescription opioid-related harms, and other drug and mental health-related outcomes. TRIAL REGISTRATION NUMBER: EU PAS Register (EUPAS43218, prospectively registered).

Dispensing of psychotropic medications to Australian children and adolescents before and during the COVID-19 pandemic, 2013-2021: a retrospective cohort study.

OBJECTIVE: To determine longitudinal patterns of dispensing of antidepressant, anxiolytic, antipsychotic, psychostimulant, and hypnotic/sedative medications to children and adolescents in Australia during 2013-2021. DESIGN: Retrospective cohort study; analysis of 10% random sample of Pharmaceutical Benefits Scheme (PBS) dispensing data. PARTICIPANTS, SETTING: People aged 18 years or younger dispensed PBS-subsidised psychotropic medications in Australia, 2013-2021. MAIN OUTCOME MEASURES: Population prevalence of dispensing of psychotropic medications to children and adolescents, by psychotropic class, gender, and age group (0-6, 7-12, 13-18 years). RESULTS: The overall prevalence of psychotropic dispensing to children and adolescents was 33.8 per 1000 boys and 25.2 per 1000 girls in 2013, and 60.0 per 1000 boys and 48.3 per 1000 girls in 2021. The prevalence of psychotropic polypharmacy was 5.4 per 1000 boys and 3.7 per 1000 girls in 2013, and 10.4 per 1000 boys and 8.3 per 1000 girls in 2021. Prevalent dispensing during 2021 was highest for psychostimulants (boys, 44.0 per 1000; girls, 17.4 per 1000) and antidepressants (boys, 20.4 per 1000; girls, 33.8 per 1000). During 2021, the prevalence of dispensing was higher than predicted by extrapolation of 2013-2019 data for many classes, including antidepressants (boys: +6.1%; 95% CI, 1.1-11.1%; girls: +22.2%; 95% CI, 17.4-26.9%), and psychostimulants (boys: +14.5%; 95% CI, 8.0-21.1%; girls: +27.7%; 95% CI, 18.9-36.6%). The increases were greatest for girls aged 13-18 years (antidepressants: +20.3%; 95% CI, 16.9-23.7%; psychostimulants: +39.0%; 95% CI, 27.9-50.0%). CONCLUSIONS: The prevalence of both psychotropic dispensing and psychotropic polypharmacy for children and adolescents were twice as high in 2021 as in 2013. The reasons and appropriateness of the marked increases in psychotropic dispensing during the COVID-19 pandemic, particularly to adolescent girls, should be investigated.

Trends of polypharmacy among older people in Asia, Australia and the United Kingdom: a multinational population-based study.

BACKGROUND: Polypharmacy among older people represents a global challenge due to its association with adverse drug events. The reported prevalence of polypharmacy varies widely across countries, and is particularly high in Asian countries. However, there is no multinational study using standardised measurements exploring variations in prescribing trends. OBJECTIVE: To compare polypharmacy trends in older people in Asia, Australia and the United Kingdom. DESIGN: Multinational, retrospective, time-trend, observational study using a common study protocol. SETTING: Outpatient and community settings. SUBJECTS: All individuals aged ≥ 65 years between 2013 and 2016. METHODS: We defined polypharmacy as the concomitant use of ≥5 medications for ≥45 days per year. We estimated the annual prevalence of polypharmacy and calculated average annual percentage change (AAPC) to assess the time trends. RESULTS: A total of 1.62 million individuals were included in this study. The highest prevalence of polypharmacy was observed in Hong Kong (46.4%), followed by Taiwan (38.8%), South Korea (32.0%), the United Kingdom (23.5%) and Australia (20.1%) in 2016. For the time trend, the Asian region showed a steady increase, particularly in Hong Kong and South Korea (AAPC: Hong Kong, 2.7%; South Korea, 1.8%; Taiwan, 1.0%). However, Australia and the United Kingdom showed a decreasing trend (Australia, -4.9%; the United Kingdom, -1.1%). CONCLUSIONS: Polypharmacy prevalence in older people was higher in Hong Kong, Taiwan and South Korea, with an increasing trend over time, compared with Australia and the United Kingdom. Our findings underline the necessity to monitor polypharmacy among older people in Asia by conducting government-level interventions and introducing medicine-optimisation strategies.

Depression and anxiety prevalence in people with cystic fibrosis and their caregivers: a systematic review and meta-analysis.

BACKGROUND: Prevalence of depression and anxiety in people with cystic fibrosis (PwCF) and their caregivers is high, however, results have been inconsistent. This systematic review and meta-analysis aimed to estimate the prevalence of depression and anxiety in PwCF and their caregivers and explore sources of heterogeneity. METHOD: MEDLINE, EMBASE, CINAHL plus and PsychINFO databases were searched from inception to January 2021. Studies were included if a specific psychometric tool (PT) to assess depression or anxiety (rather than quality of life) was used and did not involve a transitory patient state. Random-effects models were applied due to high anticipated heterogeneity and I2 estimates were calculated. Sources of heterogeneity were explored through subgroup comparisons. The presence of small-study effects was investigated visually using funnel plots and statistically using the Egger test. RESULTS: A total of 94 articles (48 full-text publications, 46 abstracts) were included. Depression prevalence in adolescents aged 12-18 years (n = 2386), adults (n = 9206) and caregivers (n = 6617) were 18.7% (95% CI 12.8-25.3%, I2 = 89.2%), 27.2% (95% CI 23.6-31%, I2 = 90.4%), and 32.8% (95% CI 27.9-37.9%, I2 = 90.3%), respectively. Anxiety prevalence in adolescents aged 12-18 years (n = 2142) was 26% (95% CI 19.6-33%, I2 = 86.4%), 28.4% (95% CI 25-31.9%, I2 = 85%) for adults (n = 8175), and 38.4% (95% CI 30.8-46.2%, I2 = 94.6%) for caregivers (n = 5931). Prevalence differed by the PT used and study location. DISCUSSION: This comprehensive analysis found the prevalence of depression and anxiety in PwCF and their caregivers to be high, supporting recommendations for regular screening. Choice of PT significantly influenced prevalence, indicating a need for future studies to identify the optimal PT for each CF population to identify those most at risk.

Characterising the use of varenicline: an analysis of the Australian dispensing claims data.

BACKGROUND AND AIMS: In Australia, patterns of use of smoking cessation medications and factors associated with their dispensing are currently not known. This study aimed to measure the demographic and clinical factors associated with varenicline dispensing compared with nicotine replacement therapy (NRT) and bupropion among first-time users of Pharmaceutical Benefits Scheme (PBS) subsidised smoking cessation medicines in Australia and to characterise those who discontinued varenicline treatment prematurely. DESIGN: Retrospective, population-based study. Logistic regression was used to identify factors associated with varenicline dispensing compared with NRT and bupropion. Sensitivity analyses estimated the proportion of individuals who completed the recommended 12 weeks of varenicline treatment. SETTING AND PARTICIPANTS: First-time users of PBS subsidised smoking cessation medicines in Australia. Individuals first dispensed a smoking cessation medicine between 2011 and 2019 were identified from a 10% random sample of the national dispensing claims data. MEASUREMENTS: The outcome for the regression analysis was the dispensing of varenicline compared with NRT and bupropion. The dispensing of a smoking cessation medicine was identified using the World Health Organization Anatomical Therapeutic Chemical Classification System and PBS item codes. Independent variables included demographic and clinical characteristics such as sex, age, concessional status, year of treatment initiation and comorbidities identified using the Rx-Risk index. The proportion of people who discontinued varenicline treatment after the initiation pack was determined using prescription refill data. FINDINGS: A total of 94 532 people had their first PBS subsidised smoking cessation medicine. Of these, 62 367 (66.0%) were dispensed varenicline, 29 949 (31.7%) NRT and 2216 (2.3%) bupropion. The odds of varenicline dispensing were higher in males (OR, 1.18; 95% CI, 1.14-1.21), but lower in older adults (0.86 [0.82-0.90] in above 30 years to 0.49 [0.47-0.52] in 61 years and above), among concession beneficiaries (0.44; 0.43-0.46), and those with congestive heart failure (0.60; 0.53-0.68), depression (0.61; 0.54-0.69), anxiety (0.70; 0.66-0.73), psychotic illness (0.39; 0.37-0.42), and chronic obstructive pulmonary disease (0.87; 0.82-0.92). The majority (37 670; 60.4%) of those dispensed varenicline discontinued treatment after the initiation pack. Anxiety and psychotic illnesses were significantly more prevalent in those who discontinued treatment. Only 2804 (4.5%) of those dispensed varenicline completed 12 weeks of treatment. CONCLUSION: Individuals dispensed varenicline in Australia appear to be healthier compared with those who are dispensed nicotine replacement therapy or bupropion.

Statin use and fall-related hospitalizations among residents of long-term care facilities: A case-control study.

BACKGROUND: Statins are associated with muscle-related adverse events, but few studies have investigated the association with fall-related hospitalizations among residents of long-term care facilities (LTCFs). OBJECTIVE: The objective of the study is to investigate whether statin use is associated with fall-related hospitalizations from LTCFs. METHODS: A case-control study was conducted among residents aged ≥65 years admitted to hospital from 2013 to 2015. Cases (n = 332) were residents admitted for falls and fall-related injuries. Controls (n = 332) were selected from patients admitted for reasons other than cardiovascular and diabetes. Cases and controls were matched 1:1 by age (±2 years), index date of admission (±6 months), and sex. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were estimated using conditional logistic regression, after considering for history of falls, hypertension, dementia, functional comorbidity index, polypharmacy (≥9 regular preadmission medications), and fall-risk medications. Subanalyses were performed for individual statins, dementia, and statin intensity. RESULTS: Overall, 43.1% of cases and 27.1% of controls used statins. Statins were associated with fall-related hospitalizations (aOR = 2.24, 95% CI 1.56-3.23), in particular simvastatin (aOR = 2.26, 95% CI 1.22-4.20) and atorvastatin (aOR = 2.08, 95% CI 1.33-3.24). Statins were associated with fall-related hospitalizations in residents with (aOR = 2.34, 95% CI 1.33-4.11) and without dementia (aOR = 2.30, 95% CI 1.46-3.63). There was no association between statin intensity and fall-related hospitalizations (aOR = 0.78, 95% CI 0.43-1.40). CONCLUSION: This study suggests a possible association between statin use and fall-related hospitalizations among residents living in LTCFs. However, there was minimal evidence for a relationship between statin intensity and fall-related hospitalizations. Further research is required to substantiate these hypothesis-generating findings.

Lifestyle Changes in Relation to Initiation of Antihypertensive and Lipid-Lowering Medication: A Cohort Study.

Background Lifestyle modification is a key component of cardiovascular disease prevention before and concurrently with pharmacologic interventions. We evaluated whether lifestyle factors change in relation to the initiation of antihypertensive or lipid-lowering medication (statins). Methods and Results The study population comprised 41 225 participants of the FPS (Finnish Public Sector) study aged ≥40 years who were free of cardiovascular disease at baseline and responded to ≥2 consecutive surveys administered in 4-year intervals in 2000-2013. Medication use was ascertained through pharmacy-claims data. Using a series of pre-post data sets, we compared changes in body mass index, physical activity, alcohol consumption, and smoking between 8837 initiators and 46 021 noninitiators of antihypertensive medications or statins. In participants who initiated medication use, body mass index increased more (difference in change 0.19; 95% CI, 0.16-0.22) and physical activity declined (-0.09 metabolic equivalent of task hour/day; 95% CI, -0.16 to -0.02) compared with noninitiators. The likelihood of becoming obese (odds ratio: 1.82; 95% CI, 1.63-2.03) and physically inactive (odds ratio: 1.08; 95% CI, 1.01-1.17) was higher in initiators. However, medication initiation was associated with greater decline in average alcohol consumption (-1.85 g/week; 95% CI, -3.67 to -0.14) and higher odds of quitting smoking (odds ratio for current smoking in the second survey: 0.74; 95% CI, 0.64-0.85). Conclusions These findings suggest that initiation of antihypertensive and statin medication is associated with lifestyle changes, some favorable and others unfavorable. Weight management and physical activity should be encouraged in individuals prescribed these medications.

Transition to high-dose or strong opioids: a population-based study of people initiating opioids in Australia.

BACKGROUND AND AIMS: Strong and high-dose opioids are associated with opioid overdose and death. The objective of this study was to determine the rate and predictors of transitioning to high-dose or strong opioids among people initiating opioids. DESIGN: Retrospective cohort study. SETTING: Australia. PARTICIPANTS: People initiating opioid analgesics from July 2013 to January 2018 were identified from a random 10% sample of Australia's Pharmaceutical Benefits Scheme eligible population. MEASUREMENTS: Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated for the predictors of escalating to ≥ 50 mg oral morphine equivalents (OMEs)/day (cohort 1); ≥ 90 mg OMEs/day (cohort 2) and transitioning from weak opioids to strong opioids (cohort 3) over 12 months of follow-up. Predictors included age, sex, number of comorbidities, history of depression, prior treatment for cancer and selected other medication use. FINDINGS: In total, 861 691 people initiated opioids at average doses < 50 mg OMEs/day (cohort 1), 874 401 at < 90 mg OMEs/day (cohort 2) and 603 884 initiated weak opioids (cohort 3). Overall, 1.4% of people escalated to doses ≥ 50 mg OMEs/day, 0.8% to doses ≥ 90 mg OMEs/day and 7.3% transitioned to strong opioids. The strongest predictors of transitioning included prior treatment for cancer [cohort 1: HR = 3.19, 95% CI = 3.00-3.40; cohort 2: HR = 4.19, 95% CI = 3.90-4.51; cohort 3: HR = 2.07, 95% CI = 1.95-2.18] and age ≥ 75 years (cohort 1: HR = 3.04, 95% CI = 2.73-3.38; cohort 2: HR = 2.51, 95% CI = 2.17-2.89; cohort 3: HR = 1.88, 95% CI = 1.80-1.96). Females transitioned to high doses and strong opioids less rapidly than males (cohort 1: HR = 0.79, 95% CI = 0.76-0.82; cohort 2: HR = 0.70, 95% CI = 0.66-0.73; cohort 3: HR = 0.95, 95% CI = 0.93-0.96). CONCLUSIONS: In Australia, more than one in every 13 people initiating weak opioids transition to strong opioids. By extrapolation, more than 26 000 Australian adults initiating opioids escalate to high doses each year. People with cancer treatment history, older people and males transition to strong and high-dose opioids more rapidly than others.

Proton Pump Inhibitors and Infection-Related Hospitalizations Among Residents of Long-Term Care Facilities: A Case-Control Study.

OBJECTIVE: Our objective was to investigate associations between proton pump inhibitor (PPIs) use and infection-related hospitalizations among residents of long-term care facilities (LTCFs). METHODS: This was a case-control study of residents aged ≥ 65 years admitted to hospital between July 2013 and June 2015. Residents admitted for infections (cases) and falls or fall-related injuries (controls) were matched for age (± 2 years), sex, and index date of admission (± 6 months). Conditional logistic regression was used to estimate crude and adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between PPI use and infection-related hospitalizations. Analyses were adjusted for age, sex, polypharmacy, diabetes, heart failure, chronic obstructive pulmonary disease, myocardial infarction, cerebrovascular accident, and concomitant use of cancer and immunosuppressant medications. Subgroup analyses were performed for high- and low/moderate-intensity PPIs and for respiratory and non-respiratory infections. Logistic regression was used to compare the odds of infection-related hospitalizations among users of high- and low/moderate-intensity PPIs. RESULTS: Overall, 181 cases were matched to 354 controls. Preadmission PPI use was associated with infection-related hospitalizations (aOR 1.66; 95% CI 1.11-2.48). In subgroup analyses, the association was apparent only for respiratory infections (aOR 2.26; 95% CI 1.37-3.73) and high-intensity PPIs (aOR 1.93; 95% CI 1.23-3.04). However, the risk of infection-related hospitalization was not significantly higher among users of high- versus low/moderate-intensity PPIs (aOR 1.25; 95% CI 0.74-2.13). CONCLUSION: Residents who use PPIs may be at increased risk of infection-related hospitalizations, particularly respiratory infections. Study findings provide further support for initiatives to minimize unnecessary PPI use in the LTCF setting.

Process, impact and outcomes of medication review in Australian residential aged care facilities: A systematic review.

OBJECTIVE: To systematically review literature reporting processes, impact and outcomes of medication review and reconciliation in Australian residential aged care facilities (RACFs). METHODS: PubMed/MEDLINE, EMBASE, CINAHL, Informit Health and grey literature were searched from 1995 to July 2018. Studies reporting outcomes of a stand-alone medication review or reconciliation interventions in Australian RACFs were included. RESULTS: Thirteen studies investigated medication review, eight of which studied Residential Medication Management Reviews (RMMRs). Five studies reported that medication reviews identified an average of 2.7-3.9 medication-related problems (MRPs) per resident. One study reported medication reviews had no impact on quality of life, hospitalisation or mortality, but was not powered to assess these. Three studies reported general practitioners' acceptance of pharmacists' recommendations to resolve MRPs, ranging between 45 and 84%. CONCLUSIONS: Medication review may be a useful strategy to identify and prompt resolution of MRPs. However, the impact on clinical and resident-centred outcomes remains unclear.

Trajectories of sickness absence and disability pension before and after opioid initiation for noncancer pain: a 10-year population-based study.

Chronic noncancer pain is a leading cause of sickness absence (SA) and disability pension (DP). The objectives of this study were to identify trajectories of SA/DP before and after strong and weak opioid initiation for noncancer pain and the factors associated with these trajectories. A longitudinal population-based study of 201,641 people (24-59 years) without cancer who initiated opioid analgesics in 2009 in Sweden was conducted. Trajectories of net annual SA/DP days in the 5 years before/after opioid initiation were estimated with group-based trajectory modelling. Multinomial logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for factors associated with trajectory groups. Among the 6.9% of people initiating strong opioids, 12.5% had persistent high SA/DP (estimated 320 days/year) before and after opioid initiation and 72.9% had persistent low/minimum SA/DP (estimated 30 days/year). Approximately 8.6% of people had increasing SA/DP, and 6.1% had decreasing SA/DP after opioid initiation, although this seemed to reflect continuation of preinitiation patterns. Trajectories were similar at lower SA/DP days/year among those initiating weak opioids. Persistent high SA/DP among strong opioid initiators were associated with ≥5 comorbidities (OR = 8.72, 95% CI 5.61-13.56), ≤9 years of education (OR = 5.83, 95% CI 4.84-7.03), and previous use of antidepressants (OR = 4.57, 95% CI 3.89-5.37) and antipsychotics (OR = 4.49, 95% CI 2.93-6.88). Three-quarters of people initiating opioids for noncancer pain had persistent low/minimum levels of SA/DP 5 years before and after initiation. Increasing and decreasing SA/DP after opioid initiation seemed to reflect a continuation of preinitiation patterns. Our findings highlight the complex range of sociodemographic and medication-related factors associated with persistent SA/DP.

Prevalence and incidence of prescription opioid analgesic use in Australia.

AIMS: The aims of the current study were to determine the prevalence and incidence of prescription opioid analgesic use in Australia and compare the characteristics of people with and without cancer initiating prescription opioid analgesics. METHODS: A retrospective population-based study was conducted using the random 10% sample of adults who were dispensed prescription opioid analgesics in Australia between July 2013 and June 2017 through the Pharmaceutical Benefits Scheme. Poisson regression was used to calculate rate ratios (RR) for opioid prevalence and incidence. The characteristics of people initiating opioids, including type of opioid initiated, total oral morphine equivalents dispensed, prescriber speciality, medical comorbidities, and past analgesic and benzodiazepine use, were compared for people with and without cancer. RESULTS: Opioid prevalence increased {RR = 1.006 [95% confidence interval (CI) 1.004, 1.008]}, while incidence decreased [RR = 0.977 (95% CI 0.975,0.979)] from 2013/2014 to 2016/2017. There were between 287 677 and 307 772 prevalent users each year. In total, 769 334 adults initiated opioids between 2013/2014 and 2016/2017, and half of these initiations were by general practitioners. Initiation with a strong opioid occurred in 55.8% of those with cancer and 28.2% of those without cancer. CONCLUSION: Rates of opioid use have remained high since 2013, with approximately 3 million adults using opioids and over 1.9 million adults initiating opioids each year. Between 2013 and 2017, opioid prevalence has slightly increased but incidence has decreased. People without cancer account for the majority of opioid use and are more likely to be initiated on short-acting and weak opioids. Initiation of strong opioids has increased over time, reinforcing concerns about increased use and the harms associated with strong opioids in the community.

Harms associated with extramedical use of prescription opioid analgesics in Australia: A scoping review.

BACKGROUND: Evidence is accumulating globally on harms from extramedical prescription opioid analgesic (POA) use. OBJECTIVE: The aim of this scoping review was to explore harms and documented risk factors associated with extramedical POA use in Australia. METHODS: MEDLINE, EMBASE, PsycINFO and CINAHL were searched for original studies published between January 2000 and February 2018. Studies were eligible for inclusion if: 1) POA use was explicitly reported, 2) extramedical use was evident 3) harm was explicitly reported, 4) data were collected in/after 2000, 5) conducted in adults and 6) undertaken in Australia. RESULTS: We identified 560 articles and 16 met the inclusion criteria. Harms reported from extramedical POA use included: increased health service utilization (n = 5), non-fatal overdose (n = 6), fatal overdose (n = 5), injection-related injuries or diseases (n = 4), engagement in crime (n = 2), loss of employment (n = 1), and foreign body pulmonary embolization (n = 1). Multiple drug toxicity was reported as the cause of death in up to 83% of fatal overdose cases. Risk factors for harm included being male, aged 31-49 years, a history of chronic non-cancer pain, mental health disorders and/or substance abuse, and concomitant use of benzodiazepines, antidepressants or other centrally-acting substances. CONCLUSION: Extramedical use of POAs is associated with a range of harms, including fatal and non-fatal overdose. Polysubstance use with other centrally-acting substances was often implicated. No published studies used linked data sources to provide a comprehensive overview of the extent of POA use or harm in Australia. Future research should focus on undertaking longitudinal cohort studies with linked data sources.