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ObjectiveEducational, and audit and feedback interventions are effective in promoting health professional behaviour change and evidence adoption. However, we lack evidence to pinpoint which particular features make them most effective. Our objective is to identify determinants of quality in professional behaviour change interventions, as perceived by participants.DesignWe performed a comparative observational study using data from the Veterans’ Medicines Advice and Therapeutics Education Services program, a nation-wide Australian Government Department of Veterans’ Affairs funded program that provides medicines advice and promotes physician adoption of best practices by use of a multifaceted intervention (educational material and a feedback document containing individual patient information).SettingPrimary care practices providing care to Australian veterans.ParticipantsGeneral practitioners (GPs) targeted by 51 distinct behaviour change interventions, implemented between November 2004 and June 2018.Primary and secondary outcome measuresWe extracted features related to presentation (number of images, tables and characters), content (polarity and subjectivity using sentiment analysis, number of external links and medicine mentions) and the use of five behaviour change techniques (prompt/cues, goal setting, discrepancy between current behaviour and goal, information about health consequences, feedback on behaviour). The main outcome was perceived usefulness, extracted from postintervention survey.ResultsOn average, each intervention was delivered to 9667 GPs. Prompt and goal setting strategies in the audit and feedback were independently correlated to perceived usefulness (p=0.030 and p=0.005, respectively). The number of distinct behaviour change techniques in the audit and feedback was correlated with improved usefulness (Pearson’s coefficient 0.45 (0.19, 0.65), p=0.001). No presentation or content features in the educational material were correlated with perceived usefulness.ConclusionsThe finding provides additional evidence encouraging the use of behaviour change techniques, in particular prompt and goal setting, in audit and feedback interventions.

Objectives: To examine the risk of dementia associated with posttraumatic stress disorder (PTSD) and the contribution of antipsychotic use to this risk. Design: Retrospective cohort study Setting: Australia. Administrative claims data from the Australian Government Department of Veterans' Affairs were used. Participants: Male Vietnam veterans aged 55 to 65 at baseline (2001-02) with no preexisting dementia diagnosis (N = 15,612). Measurements: The association between PTSD and dementia was assessed over 12 years of follow-up. Dementia was identified as a hospital diagnosis, dementia record in service disability data, or dispensing of medicines for dementia. Cox-proportional hazards models were used, with age as the time-scale. Results were stratified according to baseline antipsychotic use. Results: No greater risk of dementia was observed with PTSD. In veterans who received antipsychotics, dementia risk was significantly higher than in those who did not (hazard ratio (HR) = 2.1, 95% confidence interval (CI) = 1.4-3.3). Dementia risk was significantly greater in veterans hospitalized for PTSD who received antipsychotics (HR = 2.2, 95% CI = 1.1-4.6) and veterans without PTSD who received antipsychotics (HR = 4.3, 95% CI = 2.1-8.6) than in those without PTSD with no antipsychotic use. Conclusion: Antipsychotic use may be a contributor to dementia risk. These findings should be interpreted with caution because the study design was observational. Further research using prospective study designs in settings where diagnostic data, cognitive function, and disease severity are available are required. Refereed/Peer-reviewed

Objective: To identify factors that contribute to older Australians admitted to hospital with diabetes being re-hospitalised within 30 days of discharge. Design, setting and participants: A retrospective cohort study of Department of Veterans’ Affairs administrative data for all patients hospitalised for diabetes and discharged alive during the period 1 January – 31 December 2012. Main outcome measures: Causes of re-hospitalisation and prevalence of clinical factors associated with re-hospitalisation within 30 days of discharge. Methods: Multivariate logistic regression analysis (backward stepwise) was used to identify characteristics predictive of 30-day re-hospitalisation. Results: 848 people were hospitalised for diabetes; their median age was 87 years (interquartile range, 77–89 years) and 60% were men. 209 patients (24.6%) were re-hospitalised within 30 days of discharge, of whom 77.5% were re-admitted within 14 days of discharge. 51 re-hospitalisations (24%) were for diabetes-related conditions; 41% of those re-admitted within 14 days had not seen their general practitioner between discharge and re-admission. Factors predictive of rehospitalisation included comorbid heart failure (adjusted odds ratio [aOR], 1.49; 95% confidence interval [CI], 1.03–2.17; P = 0.036), numbers of prescribers in previous year (aOR [for each additional prescriber], 1.06; 95% CI, 1.01–1.08; P = 0.031), and two or more hospitalisations in the 6 months before the index admission (aOR, 1.79; 95% CI 1.15–2.78; P = 0.009). Conclusion: Older people hospitalised for diabetes who have comorbid heart failure, multiple recent hospitalisations, and multiple prescribers involved in their care are at greatest risk of being re-admitted to hospital within 30 days. Targeted follow-up during the initial 14 days after discharge may facilitate appropriate interventions that avert re-admission of these at-risk patients. Refereed/Peer-reviewed

Background:The Australian Government Department of Veterans' Affairs (DVA) Veterans' Medicines Advice and Therapeutics Education Services (Veterans' MATES) programme conducted two intervention (March 2009, follow-up intervention June 2012) both of which aimed to reduce hypnotic use among Australian veterans. We evaluated the effectiveness of the interventions, and estimated the associated health consequences Methods:Both interventions targeted veterans who had been dispensed hypnotics prior to the intervention.Patient-specific prescriber feedback containing patient details and the volume of hypnotics dispensed, along with tailored educational information, was mailed to general practitioners. Veterans, pharmacists and directors of care in residential aged care facilities were mailed tailored educational information. Interrupted time-series and segmented regression modelling were used to determine the effect of the two interventions on the rate of hypnotics dispensing. The cumulative patient-months of hypnotic treatment avoided as a result of the interventions was calculated. We estimated improvements in health consequences of as a result of hypnotic treatment avoided based on the results of cohort studies in the same population identifying the association between hypnotic and sedativeuse on the outcomes of falls, and confusion Results:After the first Veterans' MATES intervention in March 2009, hypnotic use declined by 0.2% each month,when compared to the baseline level (p= 0.006). The intervention effect was attenuated after one year, and use of hypnotics was found to increase by 0.2% per month after March 2010. Following the second intervention in June2012, there was a further significant decline in use of 0.18% each month over the 12 months of follow up (p=0.049). The cumulative effect of both interventions resulted in 20,850 fewer patient-months of treatment with hypnotics. This cumulative reduction in hypnotic use was estimated to lead to a minimum of 1 fewer hospital admissions for acute confusion and 7 fewer hospital admissions due to falls. Conclusions:The Veterans' MATES insomnia interventions which involved multiple stakeholders were effective in reducing hypnotic use among older Australians. Repetition of key messages led to sustained practice change Refereed/Peer-reviewed

National interventions to promote HMRs, comprising patient‐specific prescriber feedback and tailored educational materials for patients and clinicians, were conducted in 2004, 2006 and 2011 through the Veterans’ Medicines Advice and Therapeutics Education Services (Veterans’ MATES) program. Primary care patients taking multiple medicines were targeted in each intervention, while primary care patients taking multiple medicines who did not receive the intervention served as comparisons. Monthly HMR rates among targeted patients and a comparison group in the 9 months post‐intervention were determined using health claims data from the Australian Government Department of Veterans’ Affairs and compared using log binomial regression models. Overall trends in the rate of HMRs between November 2001 and December 2016 were also determined. Refereed/Peer-reviewed

Introduction: Little is known about the potential safety issues associated with apixaban in clinical practice and their reporting in spontaneous adverse event (SAE) databases. Objective: To describe SAE reports associated with the oral anticoagulant apixaban from Australia, Canada and USA and to examine associated concomitant medicine use. Methods: SAE report databases from Australia, Canada and the USA were examined for all reports of adverse events associated with apixaban and concomitant medicines from 1 January 2012 to 30 September 2014. Disproportionality analysis (proportional reporting ratio (PRR) and reporting odds ratio (ROR)) was conducted for the quantitative detection of signals using the USA database. Results: There were 97 SAE reports associated with apixaban from Australia, 77 from Canada and 2877 from the USA. Reporting of haemorrhage (any type) was common, ranging from 18% for USA to 31% for Australia. Gastrointestinal (GI) haemorrhage was the most commonly reported haemorrhage, accounting for approximately 10% of adverse event reports across all countries. Positive signals were confirmed in the USA data (haemorrhage (any type) PRR, 12.1; χ2, 5582.2 and ROR, 13.4; 95% CI: 12.13–14.6; GI haemorrhage PRR, 11.8; χ2, 2325.4 and ROR, 12.3; 95% CI, 10.8–14.0). Reporting of concomitant use of medicines with the potential to increase bleeding risk ranged from 47.6% in Canada to 65.5% in Australia. Conclusion: A large proportion of adverse event reports for apixaban were associated with use of concomitant medicines which may have increased the risk of haemorrhage.

Since 2004, the Department of Veterans’ Affairs (DVA) has funded the Veterans’ Medicines Advice and Therapeutics Education Services (MATES) program. The main intervention of the program is quarterly targeted patient-specific prescriber feedback. The feedback comprises a list of relevant medications dispensed to each patient and notes about potential medicationrelated problems specific to the intervention. Supportive educational material is provided to assist general practitioners (GPs) resolve these medication-related problems. Veterans identified in the GP mailing are sent an educational brochure highlighting medication issues and encouraging them to speak with their doctor. To enable pharmacists to support this practice change, educational material is also provided to all pharmacies and accredited pharmacists. The most recent of the 28 interventions implemented to date have addressed osteoporosis, opioid-induced constipation and urinary incontinence. Overall, program materials have been mailed to 249 454 veterans, 34 527 GPs and around 8000 pharmacies and accredited pharmacists. Evaluation has demonstrated a doubling of home medicines review (HMR) rates in the veteran population. Analyses of the DVA data have reported a 45% reduction in hospitalisation for heart failure following HMR among veterans with heart failure (adjusted hazard ratio [HR] 0.6; 95% confidence interval [CI] 0.4–0.8), and a 79% reduction in hospitalisation for haemorrhage (HR 0.2; 95%CI 0.05–0.9) 2 to 6 months after an HMR in veterans dispensed warfarin. Veterans’ MATES has resulted in clinically significant improvements in medication and health service use. J Pharm Pract Res 2011; 41: 316-19.

Objective: To evaluate the impact of national multifaceted initiatives to improve use of proton pump inhibitors (PPIs) on the use of PPIs among older Australians.Design: Interrupted time series analysis using administrative health claims data from the Australian Government Department of Veterans’ Affairs (DVA).Setting: Australia.Participants: All veterans and dependents who received PPIs between January 2003 and December 2013.Intervention(s): National, multifaceted interventions to improve PPI use were conducted by the Australian Government Department of Veterans’ Affairs Veterans’ MATES programme and Australia's NPS MedicineWise in April 2004, June 2006, May 2009 and August 2012.Main outcome measure(s): Trends in monthly rate of use of any PPI among the veteran population, and the monthly rate of use of low strength PPIs among all veterans dispensed a PPI.Results: Interventions in 2004, 2006, 2009 and 2012 slowed the rate of increase in PPI use significantly, with the 2012 intervention resulting in a sustained 0.04% decrease in PPI use each month. The combined effect of all four interventions was a 20.9% (95% CI 7.8–33.9%) relative decrease in PPI use 12 months after the final intervention. The four interventions also resulted in a 42.2% (95% CI 19.9–64.5%) relative increase in low strength PPI use 12 months after the final intervention.Conclusions: National multifaceted programmes targeting clinicians and consumers were effective in reducing overall PPI use and increasing use of low strength PPIs. Interventions to improve PPI use should incorporate regular repetition of key messages to sustain practice change. Refereed/Peer-reviewed

Additional Supporting Information may be found in the online version of this article: Appendix S1. ICD-10-AM codes and definitions used for this study. Objectives: To identify the association between use of multiple anticholinergic medications and risk of hospitalization for confusion or dementia. Conclusion: Taking more anticholinergic medications is associated with greater risk of hospitalization for confusion or dementia. Strategies to reduce anticholinergic medication burden are likely to translate into significant health benefits. Design: Retrospective cohort study conducted over 2 years between July 2010 and June 2012, using administrative claims data from the Australian Department of Veterans' Affairs. Measurements: Cumulative anticholinergic use on each day of the study period was determined. The association between hospitalization for confusion or dementia and number of anticholinergic medications used at the time of admission was compared against times during which participants were not taking anticholinergic medications. Sensitivity analyses were undertaken limiting the outcome to admissions for acute confusion and excluding individuals taking antipsychotics. Participants: Australian veterans dispensed at least one moderately or highly anticholinergic medication in the year before study start. Results: Adjusted results showed a significantly greater risk of hospitalization for confusion or dementia when individuals were taking two or more anticholinergic medications. The adjusted incident rate ratios (IRRs) were 2.58 (95% confidence interval (CI) = 1.91-3.48) for those taking two anticholinergics and 3.87 (95% CI = 1.83-8.21) for those taking three or more. Sensitivity analyses in which participants taking antipsychotic medications were excluded and the outcome was limited to acute confusion also found similar risks for those taking two (IRR 1.82, 95% CI = 1.18-2.80) and three or more (IRR = 3.98 95% CI = 1.50-10.58) anticholinergic medications. Setting: Australia. Refereed/Peer-reviewed

Objectives: to determine whether there is greater risk of initiation of oxybutynin to treat urinary incontinence (UI) after initiation of medicines reported to be associated with UI. Conclusion: This study highlights the potential for initiation of commonly used medicines to be associated with subsequent initiation of oxybutynin to treat UI. Greater awareness of the potential for medicines to contribute to UI is required. Design: Prescription sequence symmetry analysis (PSSA). Measurements: Between January 1, 2001, and December 31, 2011, the distribution of incident dispensing of medicines reported to be associated with UI (prazosin, diuretics, calcium channel blockers (CCBs), angiotensin-converting enzyme inhibitors (ACEIs), angiotensin receptor blockers (ARBs), hormone replacement therapy (HRT), opioid analgesics, anticonvulsants, levodopa, antipsychotics, sedatives, selective serotonin reuptake inhibitors (SSRIs), venlafaxine, anticholinesterases) was assessed before and after incident dispensing of oxybutynin (to treat UI). Crude and adjusted sequence ratios (ASRs) with 95% confidence intervals (CIs) were calculated. Participants: Individuals who initiated oxybutynin and a medicine reported to be associated with UI in a 12-month period. Results: Significant associations between initiation of CCBs, ACEIs, ARBs, and hypnotic-sedatives and subsequent initiation of oxybutynin were found. ASRs ranged from 1.28 (95% CI = 1.19-1.39) for ACEIs to 1.59 (95% CI = 1.29-1.96) for verapamil. In women, there was greater risk of initiation of oxybutynin after prazosin (ASR = 1.84, 95% CI = 1.29-2.63) and HRT (ASR = 1.54, 95% CI = 1.42-1.67) initiation. PSSA showed no significant association with initiation of opioids, anticonvulsants, levodopa, SSRIs, venlafaxine, or anticholinesterases and subsequent initiation of oxybutynin. Setting: Administrative claims data from the Australian Government Department of Veterans' Affairs. Refereed/Peer-reviewed

Background : Little is known about the impact of taking multiple psychoactive medicines on the risk of hospitalization for falls. Conclusion : Increased numbers or increased doses of psychoactive medicines are associated with an increased risk of hospitalization for falls in older adults. Strategies to reduce the psychoactive medicine burden are likely to translate into significant health benefits. Methods : A retrospective cohort study was conducted between July 2011 and June 2012 in the Australian veteran population who had been dispensed at least one psychoactive medicine within the previous year. Psychoactive medicines with sedative properties included antipsychotics, anxiolytics, hypnotics, antidepressants, opioids, anti-epileptics, anti-Parkinson medicines and medicines for migraine. The associations between falls and the number of psychoactive medicines used or the number of doses were analysed in comparison with falls that occurred when no psychoactive medicine was used. Objective : To identify the association between multiple psychoactive medicine use and hospitalization for falls. Results : The adjusted results showed a significantly increased risk of falls when patients were on one or more psychoactive medicines or were receiving 0.1-0.9 defined daily dose (DDD) or more per day. The incident rate ratios (IRRs) were 1.22 (95 % confidence interval [CI] 1.08-1.38) for those on one psychoactive medicine, 1.70 (95 % CI 1.45-1.99) for those on two, 1.96 (95 % CI 1.58-2.43) for those on three or four, and 3.15 (95 % CI 1.90-5.23) for those on five or more. A similar result was observed when the data were analysed by dose, with the highest risk being found for those taking three or more DDD per day (adjusted IRR 4.26, 95 % CI 2.75-6.58). Refereed/Peer-reviewed

Background The Australian Government Department of Veterans’ Affairs (DVA) funds an ongoing health promotion based program to improve use of medicines and related health services, which implements interventions that include audit and feedback in the form of patient-specific feedback generated from administrative claims records. We aimed to determine changes in medicine use as a result of the program. Methods The program provides targeted patient-specific feedback to medical practitioners. The feedback is supported with educational material developed by a clinical panel, subject to peer review and overseen by a national editorial committee. Veterans who meet target criteria also receive educational brochures. The program is supported by a national call centre and ongoing national consultation. Segmented regression analyses (interrupted time series) were undertaken to assess changes in medication use in targeted veterans pre and post each intervention. Results 12 interventions were included; three to increase medicine use, seven which aimed to reduce use, and two which had combination of messages to change use. All programs that aimed to increase medicine use were effective, with relative effect sizes at the time of the intervention ranging from 1% to 8%. Mixed results were seen with programs aiming to reduce inappropriate medicine use. Highly specific programs were effective, with relative effect sizes at the time of the intervention of 10% decline in use of NSAIDs in high risk groups and 14% decline in use of antipsychotics in dementia. Interventions targeting combinations of medicines, including medicine interactions and potentially inappropriate medicines in the elderly did not change practice significantly. Interventions with combinations of messages targeting multiple components of practice had an impact on one component, but not all components targeted. Conclusions The Veterans’ MATES program showed positive practice change over time, with interventions increasing use of appropriate medicines where under-use was evident and reduced use of inappropriate medicines when single medicines were targeted. Combinations of messages were less effective, suggesting specific messages focusing on single medicines are required to maximise effect. The program provides a model that could be replicated in other settings.

Objective: To identify the prevalence of potentially preventable medication-related hospitalizations amongst elderly Australian veterans by applying clinical indicators to administrative claims data. Design and setting: Retrospective cohort study in the Australian veteran population from 1 January 2004 to 31 December 2008. Participants: A total of 109 044 veterans with one or more hospitalizations defined by the medication-related clinical indicator set, during the 5-year study period. Main outcome measure: The prevalence of potentially preventable medication-related hospitalizations as a proportion of all hospitalizations defined by the clinical indicator set. Results: During the 5-year study period, there were a total of 1 630 008 hospital admissions of which 216 527 (13.3%) were for conditions defined by the medication-related clinical indicator set for 109 044 veterans. The overall proportion of potentially preventable medication-related hospitalizations was 20.3% (n= 43 963). Of the 109 044 veterans included in the study, 28 044 (25.7%) had at least one potentially preventable medication-related hospitalization and 7245 (6.6%) veterans had two or more potentially preventable admissions. Conditions with both a high prevalence of hospitalization and preventability included asthma/chronic obstructive pulmonary disorder, depression and thromboembolic cerebrovascular event (23.3, 18.5 and 18.3%, respectively, were potentially preventable). Other hospitalizations that were less common but had a high level of preventability (at least 20%) included hip fracture, impaction, renal failure, acute confusion, bipolar disorder and hyperkalaemia. Conclusions: The results of this study highlight those conditions where hospitalizations could potentially be avoided through improved medication management. Strategies to increase the awareness, identification and resolution of these medication-related problems contributing to these hospitalizations are required in Australia. Refereed/Peer-reviewed

Background— Randomized controlled trials have demonstrated that collaborative medication reviews can improve outcomes for patients with heart failure. We aimed to determine whether these results translated into Australian practice, where collaborative reviews are nationally funded. Methods and Results— This retrospective cohort study using administrative claims data included veterans 65 years and older receiving bisoprolol, carvedilol, or metoprolol succinate for which prescribing physicians indicated treatment was for heart failure. We compared those exposed to a general practitioner–pharmacist collaborative home medication review with those who did not receive the service. The service includes physician referral, a home visit by an accredited pharmacist to identify medication-related problems, and a pharmacist report with follow-up undertaken by the physician. Kaplan-Meier analyses and Cox proportional hazards models were used to compare time until next hospitalization for heart failure between the exposed and unexposed groups. There were 273 veterans exposed to a home medicines review and 5444 unexposed patients. Average age in both groups was 81.6 years (no significant difference). The median number of comorbidities was 8 in the exposed group and 7 in the unexposed ( P Conclusion— Medicines review in the practice setting is effective in delaying time to next hospitalization for heart failure in those treated with heart failure medicines.