Consumer and Healthcare Professional Led Priority Setting for Quality Use of Medicines in People with Dementia: Gathering Unanswered Research Questions.

BACKGROUND: Historically, research questions have been posed by the pharmaceutical industry or researchers, with little involvement of consumers and healthcare professionals. OBJECTIVE: To determine what questions about medicine use are important to people living with dementia and their care team and whether they have been previously answered by research. METHODS: The James Lind Alliance Priority Setting Partnership process was followed. A national Australian qualitative survey on medicine use in people living with dementia was conducted with consumers (people living with dementia and their carers including family, and friends) and healthcare professionals. Survey findings were supplemented with key informant interviews and relevant published documents (identified by the research team). Conventional content analysis was used to generate summary questions. Finally, evidence checking was conducted to determine if the summary questions were 'unanswered'. RESULTS: A total of 545 questions were submitted by 228 survey participants (151 consumers and 77 healthcare professionals). Eight interviews were conducted with key informants and four relevant published documents were identified and reviewed. Overall, analysis resulted in 68 research questions, grouped into 13 themes. Themes with the greatest number of questions were related to co-morbidities, adverse drug reactions, treatment of dementia, and polypharmacy. Evidence checking resulted in 67 unanswered questions. CONCLUSION: A wide variety of unanswered research questions were identified. Addressing unanswered research questions identified by consumers and healthcare professionals through this process will ensure that areas of priority are targeted in future research to achieve optimal health outcomes through quality use of medicines.

Rituximab and Pyoderma Gangrenosum: An Investigation of Disproportionality Using a Systems Biology-Informed Approach in the FAERS Database.

BACKGROUND: Studies have found an increased risk of pyoderma gangrenosum associated with rituximab. The structural properties and pharmacological action of rituximab may affect the risk of pyoderma gangrenosum. Additionally, pyoderma gangrenosum is associated with autoimmune disorders for which rituximab is indicated. OBJECTIVE: We aimed to determine whether rituximab is disproportionally associated with pyoderma gangrenosum using a systems biology-informed approach. METHODS: Adverse event reports were extracted from the US Food and Drug Administration Adverse Event Reporting System (FAERS, 2013-20). The Bayesian Confidence Propagation Neural Network Information Component was used to test for disproportionality. Comparators used to determine potential causal pathways included all other medicines, all medicines with a similar structure (monoclonal antibodies), all medicines with the same pharmacological target (CD20 antagonists) and all medicines used for the same indication(s) as rituximab. RESULTS: Thirty-two pyoderma gangrenosum cases were identified, 62.5% were female, with a median age of 48 years. There was an increased association of pyoderma gangrenosum with rituximab compared with all other medicines (exponentiated Information Component 6.75, 95% confidence interval (CI) 4.66-9.23). No association was observed when the comparator was either monoclonal antibodies or CD20 antagonists. Conditions for which an association of pyoderma gangrenosum with rituximab was observed were multiple sclerosis (6.68, 95% CI 1.63-15.15), rheumatoid arthritis (2.67, 95% CI 1.14-4.80) and non-Hodgkin's lymphoma (2.94, 95% CI 1.80-3.73). CONCLUSIONS: Pyoderma gangrenosum was reported more frequently with rituximab compared with all other medicines. The varying results when restricting medicines for the same condition suggest the potential for confounding by indication. Post-market surveillance of biologic medicines in  FAERS should consider a multi-faceted approach, particularly when the outcome of interest is associated with the underlying immune condition being treated by the medicine of interest.

A comparison of survival models for prediction of eight-year revision risk following total knee and hip arthroplasty.

BACKGROUND: There is increasing interest in the development and use of clinical prediction models, but a lack of evidence-supported guidance on the merits of different modelling approaches. This is especially true for time-to-event outcomes, where limited studies have compared the vast number of modelling approaches available. This study compares prediction accuracy and variable importance measures for four modelling approaches in prediction of time-to-revision surgery following total knee arthroplasty (TKA) and total hip arthroplasty (THA). METHODS: The study included 321,945 TKA and 151,113 THA procedures performed between 1 January 2003 and 31 December 2017. Accuracy of the Cox model, Weibull parametric model, flexible parametric model, and random survival forest were compared, with patient age, sex, comorbidities, and prosthesis characteristics considered as predictors. Prediction accuracy was assessed using the Index of Prediction Accuracy (IPA), c-index, and smoothed calibration curves. Variable importance rankings from the Cox model and random survival forest were also compared. RESULTS: Overall, the Cox and flexible parametric survival models performed best for prediction of both TKA (integrated IPA 0.056 (95% CI [0.054, 0.057]) compared to 0.054 (95% CI [0.053, 0.056]) for the Weibull parametric model), and THA revision. (0.029 95% CI [0.027, 0.030] compared to 0.027 (95% CI [0.025, 0.028]) for the random survival forest). The c-index showed broadly similar discrimination between all modelling approaches. Models were generally well calibrated, but random survival forest underfitted the predicted risk of TKA revision compared to regression approaches. The most important predictors of revision were similar in the Cox model and random survival forest for TKA (age, opioid use, and patella resurfacing) and THA (femoral cement, depression, and opioid use). CONCLUSION: The Cox and flexible parametric models had superior overall performance, although all approaches performed similarly. Notably, this study showed no benefit of a tuned random survival forest over regression models in this setting.

The Risk of Preoperative Central Nervous System-Acting Medications on Delirium Following Hip or Knee Surgery: A Matched Case-Control Study.

INTRODUCTION: Medicines acting on the central nervous system can increase the risk of postoperative delirium, but the specific medicines associated with greatest risk remain unclear. OBJECTIVES: We aimed to examine the risk of individual central nervous system-acting medicines used preoperatively on delirium after hip or knee surgery. METHODS: A matched case-control study was conducted using data from the Australian Government Department of Veterans' Affairs. We included people aged 65 years or older who had knee or hip surgery between 2000 and 2019. People with hip or knee surgery who developed postoperative delirium were cases and controls were people with hip or knee surgery but who did not develop postoperative delirium. Use of medicines including anxiolytics, sedatives, and hypnotics, opioid analgesics and antidepressants prior to surgery was compared between cases and controls. RESULTS: A total of 2614 patient cases with postoperative delirium were matched by same sex, age (±2 years), and year of admission (±2 years) with 7842 controls without postoperative delirium. Cases were more likely to be exposed to nitrazepam (odds ratio [OR] = 1.81, 95% confidence interval [CI] 1.24-2.64), sertraline (OR = 1.50, 95% CI 1.20-1.87), mirtazapine (OR = 1.38, 95% CI 1.11-1.74), venlafaxine (OR = 1.42, 95% CI 1.02-1.98), citalopram (OR = 1.54, 95% CI 1.19-1.99), escitalopram (OR = 1.42, 95% CI 1.06-1.89) or fluvoxamine (OR = 5.01, 95% CI 2.15-11.68) prior to surgery than controls. At the class level, exposure to benzodiazepines (OR = 1.20, 95% CI 1.05-1.37) and antidepressants (OR = 1.64, 95% CI 1.47-1.83) prior to surgery was significantly higher in cases than in controls. The numbers needed to treat to harm for one additional delirium case were 43 for sertraline, 40 for citalopram, 57 for mirtazapine and 26 for nitrazepam. Whereas, the numbers needed to treat to harm were found to be 20 for sertraline, 17 for citalopram, 19 for mirtazapine and 10 for nitrazepam in the 85 years or older age group, indicating that the harmful effect of these medicines is pronounced as age advances. CONCLUSIONS: People who developed delirium following hip or knee surgery were more likely to be exposed to nitrazepam, sertraline, mirtazapine, venlafaxine, citalopram, escitalopram or fluvoxamine at the time of admission for surgery. Planning to reduce use of these medicines well prior to surgery may decrease the risk of postoperative delirium.

The effects of anticholinergic medications on cognition in children: a systematic review and meta-analysis.

Cognitive side effects of anticholinergic medications in older adults are well documented. Whether these poor cognitive outcomes are observed in children has not been systematically investigated. We aimed to conduct a systematic review and meta-analysis on the associations between anticholinergic medication use and cognitive performance in children. Systematic review was conducted using Medline, PsychInfo, and Embase, identifying studies testing cognitive performance relative to the presence versus absence of anticholinergic medication(s) in children. We assessed effects overall, as well as relative to drug class, potency (low and high), cognitive domain, and duration of administration. The systematic search identified 46 articles suitable for meta-analysis. For the most part, random effects meta-analyses did not identify statistically significant associations between anticholinergic exposure and cognitive performance in children; the one exception was a small effect of anticholinergic anti-depressants being associated with better cognitive function (Hedges' g = 0.24, 95% CI 0.06-0.42, p = 0.01). Anticholinergic medications do not appear to be associated with poor cognitive outcomes in children, as they do in older adults. The discrepancy in findings with older adults may be due to shorter durations of exposure in children, differences in study design (predominantly experimental studies in children rather than predominantly epidemiological in older adults), biological ageing (e.g. blood brain barrier integrity), along with less residual confounding due to minimal polypharmacy and comorbidity in children.

Predictors of Mortality in the Older Population: The Role of Polypharmacy and Other Medication and Chronic Disease-Related Factors.

BACKGROUND: Polypharmacy has been associated with increased mortality but the contribution of different medication-related factors to this is unknown. AIMS: The aim of this study was to identify demographic and medication-related predictors of mortality in the older population. Given the intrinsic link between polypharmacy and multimorbidity, the secondary aim was to examine if the medicines or underlying diseases predicted mortality. METHODS: Patients aged ≥ 65 years from an outpatient multimorbidity clinic were included. Medication-related factors included the medicines count, high-risk medicines, inappropriate medicines duplication, and potential drug-drug and drug-disease interactions. Logistic regression was used to identify mortality predictors within a year of clinic discharge from the outpatient clinic. Patients attend the clinic until medications and comorbidity management have been optimised, at which point they are discharged from the clinic, and their General Practitioner provides ongoing care. RESULTS: A total of 584 patients were included (median age 80.0 years) and 9.9% (n = 58) died within a year of discharge. Demographics, namely age (adjusted odds ratio [aOR] 1.05; 95% CI 1.01-1.09; p = 0.018) and being male (aOR 5.10; 95% CI 2.63-9.88; p < 0.001); chronic disease, namely heart failure (aOR 3.36; 95% CI 1.78-6.35; p < 0.001); and medication-related factors, namely the number of sedative and anticholinergic medicines (aOR 1.66; 95% CI 1.19-2.33; p = 0.003) predicted mortality in the study population. CONCLUSION: Whilst polypharmacy has been defined using the number of medicines in the literature, a combination of demographics, chronic disease and medications predicted mortality in our study. This provides guidance for the development of future tools and guidelines regarding the inclusion of key factors for identifying high-risk patients at risk of adverse health outcomes such as mortality.

Reducing medicine-induced deterioration and adverse reactions (ReMInDAR) trial: study protocol for a randomised controlled trial in residential aged-care facilities assessing frailty as the primary outcome.

INTRODUCTION: Many medicines have adverse effects which are difficult to detect and frequently go unrecognised. Pharmacist monitoring of changes in signs and symptoms of these adverse effects, which we describe as medicine-induced deterioration, may reduce the risk of developing frailty. The aim of this trial is to determine the effectiveness of a 12-month pharmacist service compared with usual care in reducing medicine-induced deterioration, frailty and adverse reactions in older people living in aged-care facilities in Australia. METHODS AND ANALYSIS: The reducing medicine-induced deterioration and adverse reactions trial is a multicentre, open-label randomised controlled trial. Participants will be recruited from 39 facilities in South Australia and Tasmania. Residents will be included if they are using four or more medicines at the time of recruitment, or taking more than one medicine with anticholinergic or sedative properties. The intervention group will receive a pharmacist assessment which occurs every 8 weeks. The pharmacists will liaise with the participants' general practitioners when medicine-induced deterioration is evident or adverse events are considered serious. The primary outcome is a reduction in medicine-induced deterioration from baseline to 6 and 12 months, as measured by change in frailty index. The secondary outcomes are changes in cognition scores, 24-hour movement behaviour, grip strength, weight, percentage robust, pre-frail and frail classification, rate of adverse medicine events, health-related quality of life and health resource use. The statistical analysis will use mixed-models adjusted for baseline to account for repeated outcome measures. A health economic evaluation will be conducted following trial completion using data collected during the trial. ETHICS AND DISSEMINATION: Ethics approvals have been obtained from the Human Research Ethics Committee of University of South Australia (ID:0000036440) and University of Tasmania (ID:H0017022). A copy of the final report will be provided to the Australian Government Department of Health. TRIAL REGISTRATION NUMBER: Australian and New Zealand Trials Registry ACTRN12618000766213.

Predictors of unplanned hospitalisation in the older population: The role of polypharmacy and other medication and chronic disease-related factors.

OBJECTIVE: To identify demographic and medication-related predictors of unplanned hospitalisation and combine them into a hospitalisation risk score. METHODS: Patients aged ≥65 years from an outpatient multimorbidity clinic were included. Hospitalisation predictors within a year of clinic discharge were identified using logistic regression. A risk score was developed. The area under the curve (AUC) was used to assess its predictive ability, compared to that of the medicines count (definition of polypharmacy). RESULTS: A total of 598 patients were included (median age of 80.0 years). 58.0% (n = 347) were hospitalised within a year of clinic discharge. The AUC for the risk score incorporating age, medicines count, heart failure (HF), atherosclerotic disease and systemic steroids was 0.67 [95% CI 0.62-0.71], compared to 0.62 [95% CI 0.58-0.67] for the medicines count. CONCLUSION: A hospitalisation risk score incorporating demographics, medicines, namely steroids, and diseases such as HF had increased predictive ability compared to the medicines count, providing guidance for developing future polypharmacy tools.

Medication Use for Comorbidities in People with Alzheimer's Disease: An Australian Population-Based Study.

BACKGROUND: People with Alzheimer's disease (AD) often have multimorbidity and take multiple medicines. Yet few studies have examined medicine utilization for comorbidities comparing people with and without AD. OBJECTIVE: The aim was to investigate the patterns of medication use for comorbidities in people with and without AD. METHODS: An Australian population-based study was conducted using the Pharmaceutical Benefits Scheme 10% sample of pharmacy claims data. People with AD were defined as those dispensed medicines for dementia (cholinesterase inhibitors, memantine, or risperidone for behavioral and psychological symptoms of dementia) between January 1, 2005, and December 31, 2015, who were aged 65 years or older and alive at the end of 2016. An age- and gender-matched comparison cohort (5:1) of people without AD were identified. Medication use for comorbidities was identified using the validated comorbidity index, Rx-Risk-V. A χ2 test was used to compare differences in the pattern of medicine use between the two groups. RESULTS: A total of 8280 people with AD and 41,400 comparisons without AD were included; 63.4% were female and the median age was 82 years. The median number of comorbidities was greater in people with AD {median [interquartile range (IQR)]: 5 [3-7]} than the comparison group (median [IQR]: 4 [3-6], p<0.0001). Medications for depression, pain (treated with opioid analgesics), anxiety, diabetes, hyperthyroidism, epilepsy, Parkinson's disease, and antipsychotics were used significantly more commonly in people with AD than in those without dementia. Medications for cardiac conditions, pain (treated with anti-inflammatory medications), chronic airways disease, gout, glaucoma, renal disease, benign prostatic hyperplasia, cancer, and steroid-responsive conditions were used significantly less commonly among people with AD than the comparison group. CONCLUSIONS: This study highlighted significant variations in medication use for comorbidities between people with and without AD. Future studies should evaluate the reasons for the disparity in medicine utilization for comorbidities in people with AD.

Implementation of medication-related indicators of potentially preventable hospitalizations in a national chronic disease management program for older patients with multimorbidity.

INITIAL ASSESSMENT: Older people are at increased risk of medication-related potentially preventable hospitalizations (MR-PPH) due to the presence of multiple chronic conditions (multimorbidity) and subsequent polypharmacy. CHOICE OF SOLUTION: A pilot study was conducted, using evidence-based indicators to detect older patients in a chronic disease management program (CDMP) at risk of hospitalization due to sub-optimal medication use. IMPLEMENTATION: Previously validated indicators for MR-PPH were applied to patients with multimorbidity, aged 65 years or older and who were enrolled in a national community-based CDMP. Nurse-led telephone interviews and case note abstraction were used as data sources. EVALUATION: Nineteen patients triggered the MR-PPH indicators 85 times with a median of four per patient. Sub-optimal medication management was identified 34 times (40%) with a median of two per patient. The most common reasons for sub-optimal medication management were exposure to medications associated with falls, underuse of angiotensin-converting enzyme inhibitor/angiotensin-2 receptor blocker medications for cardiovascular disease and low rates of hemoglobin A1c and renal monitoring in patients with diabetes. LESSONS LEARNED: This study has shown the utility of MR-PPH indicators within a CDMP to identify and monitor sub-optimal medication-related care. Implementation and ongoing monitoring of these types of indicators can support the development of targeted programs to reduce the ongoing risk of adverse events in the older population and improve the overall quality of life.

Risk of chronic opioid use in older persons with pre-existing anxiety.

OBJECTIVE: Work that has shown a relationship between anxiety and chronic opioid use has not focused on older people specifically, despite the additional risks in older populations. This study aimed to understand whether anxiety prior to opioid initiation increased the likelihood of chronic opioid use over time in persons aged 60 years or older. DESIGN: Administrative claims data were used to calculate time between initiation of opioids and a first chronic episode of opioid use. Patients were classified as having a history of anxiety if they were dispensed medicines in the anxiolytics class or had a hospitalization event for anxiety prior to treatment with an opioid. Proportional hazards models were used to compare the likelihood of experiencing a chronic episode of opioid use between those with and without a history of anxiety. RESULTS: The cohort was 15,000 persons, of which, 5,076 (34 percent) had history of anxiety. Those with anxiety prior to their first opioid dispensing were 30 percent more likely to have an episode of chronic use after adjustment for age, gender, number of comorbidities, and prior surgery (HR = 1.30, 95% CI = 1.16-1.47). The risk of a chronic episode in patients who had surgery prior to initiation of an opioid was 60 percent greater in those with anxiety compared to no anxiety (HR = 1.60, 95% CI = 1.21-2.11) and 24 percent greater in those with anxiety but no prior surgery (HR = 1.24, 95% CI = 1.08-1.42). CONCLUSIONS: A significant proportion of older people will have a chronic episode of opioid use. This risk is increased where a history of anxiety is present.

Antipsychotic polypharmacy in older Australians.

ABSTRACTBackground:Antipsychotics are commonly used, and the rate of use is highest, among those aged 65 years or over, where the risk of adverse events is also high. Up to 20% of younger adults use more than one antipsychotic concurrently; however there are few studies on the prevalence of antipsychotic polypharmacy in older people. We aimed to analyze antipsychotic use in elderly Australians, focusing on the prevalence of antipsychotic polypharmacy and the use of medicines to manage adverse events associated with antipsychotics. METHODS: A cross-sectional study was conducted using Australian Department of Veterans' Affairs (DVA) administrative claims data for the period 1 March 2014 to 30 June 2014. Veterans dispensed at least one antipsychotic medicine during the study period was included. We determined the number of participants dispensed antipsychotic polypharmacy and the number of participants dispensed medicines to manage antipsychotic side effects. RESULTS: There were 7,412 participants with a median age of 86 years. Fifty-one percent (n=3,784) were women and 48% (n=3,569) lived in residential aged-care. Fifty one participants (0.7%) were dispensed anticholinergic medicines indicated for the management of antipsychotic-associated extrapyramidal movement disorders and eight (0.1%) were dispensed medicines for the management of hyperprolactinemia. Five percent of participants (n=365) received dual antipsychotics. Dual antipsychotic users were more likely to be under the care of a psychiatrist or to have had a mental health hospitalization than those using a single antipsychotic. CONCLUSIONS: Antipsychotic polypharmacy occurred in one in 20 elderly persons, indicating that there is room for improvement in antipsychotic use in elderly patients.

Preoperative medication use and postoperative delirium: a systematic review.

BACKGROUND: Medications are frequently reported as both predisposing factors and inducers of delirium. This review evaluated the available evidence and determined the magnitude of risk of postoperative delirium associated with preoperative medication use. METHODS: A systematic search in Medline and EMBASE was conducted using MeSH terms and keywords for postoperative delirium and medication. Studies which included patients 18 years and older who underwent major surgery were included. The methodological quality of included studies was assessed independently by two authors using the Newcastle-Ottawa quality assessment scale for cohort studies. RESULTS: Twenty-nine studies; 25 prospective cohort, three retrospective cohort and one post hoc analysis of RCT data were included. Only four specifically aimed to assess medicines as an independent predictor of delirium, all other studies included medicines among a number of potential predictors of delirium. Of the studies specifically testing the association with a medication class, preoperative use of beta-blockers (OR = 2.06[1.18-3.60]) in vascular surgery and benzodiazepines RR 2.10 (1.23-3.59) prior to orthopedic surgery were significant. However, evidence is from single studies only. Where medicines were included as one possible factor among many, hypnotics had a similar risk estimate to the benzodiazepine study, with one significant and one non-significant result. Nifedipine use prior to cardiac surgery was found to be significantly associated with delirium. The non-specific grouping of psychoactive medication use preoperatively was generally higher with an associated two-to-seven-fold higher risk of postoperative delirium, while only two studies included narcotics without other agents, with one significant and one non-significant result. CONCLUSIONS: There was a limited number of high quality studies in the literature quantifying the direct association between preoperative medication use and postsurgical delirium. More studies are required to evaluate the association of specific preoperative medications on the risk of postoperative delirium so that comprehensive guidelines for medicine use prior to surgery can be developed to aid delirium prevention. TRIAL REGISTRATION: This systematic review has been registered on PROSPERO International prospective register of systematic reviews (Registration number: CRD42016051245 ).

What is polypharmacy? A systematic review of definitions.

BACKGROUND: Multimorbidity and the associated use of multiple medicines (polypharmacy), is common in the older population. Despite this, there is no consensus definition for polypharmacy. A systematic review was conducted to identify and summarise polypharmacy definitions in existing literature. METHODS: The reporting of this systematic review conforms to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) checklist. MEDLINE (Ovid), EMBASE and Cochrane were systematically searched, as well as grey literature, to identify articles which defined the term polypharmacy (without any limits on the types of definitions) and were in English, published between 1st January 2000 and 30th May 2016. Definitions were categorised as i. numerical only (using the number of medications to define polypharmacy), ii. numerical with an associated duration of therapy or healthcare setting (such as during hospital stay) or iii. Descriptive (using a brief description to define polypharmacy). RESULTS: A total of 1156 articles were identified and 110 articles met the inclusion criteria. Articles not only defined polypharmacy but associated terms such as minor and major polypharmacy. As a result, a total of 138 definitions of polypharmacy and associated terms were obtained. There were 111 numerical only definitions (80.4% of all definitions), 15 numerical definitions which incorporated a duration of therapy or healthcare setting (10.9%) and 12 descriptive definitions (8.7%). The most commonly reported definition of polypharmacy was the numerical definition of five or more medications daily (n = 51, 46.4% of articles), with definitions ranging from two or more to 11 or more medicines. Only 6.4% of articles classified the distinction between appropriate and inappropriate polypharmacy, using descriptive definitions to make this distinction. CONCLUSIONS: Polypharmacy definitions were variable. Numerical definitions of polypharmacy did not account for specific comorbidities present and make it difficult to assess safety and appropriateness of therapy in the clinical setting.

Patient-specific prescriber feedback can increase the rate of osteoporosis screening and treatment: results from two national interventions.

Osteoporosis interventions targeting older Australians and clinicians were conducted in 2008 and 2011 as part of a national quality improvement program underpinned by behavioural theory and stakeholder engagement. Uptake of bone mineral density (BMD) tests among targeted men and women increased after both interventions and sustained increases in osteoporosis treatment were observed among men targeted in 2008. PURPOSE: Educational interventions incorporating patient-specific prescriber feedback have improved osteoporosis screening and treatment among at-risk patients in clinical trials but have not been evaluated nationally. This study assessed uptake of BMD testing and osteoporosis medicines following two national Australian quality improvement initiatives targeting women (70-79 years) and men (75-85 years) at risk of osteoporosis. METHODS: Administrative health claims data were used to determine monthly rates of BMD testing and initiation of osteoporosis medicines in the 9-months post-intervention among targeted men and women compared to older cohorts of men and women. Log binomial regression models were used to assess differences between groups. RESULTS: In 2008 91,794 patients were targeted and 52,427 were targeted in 2011. There was a twofold increase in BMD testing after each intervention among targeted patients compared to controls (p < 0.001). Initiation of osteoporosis medicines increased by 21% among men targeted in 2008 and 34% among men targeted in 2011 compared to older controls (p < 0.01). Initiation of osteoporosis medicines among targeted women was similar to the older controls. CONCLUSION: Programs underpinned by behavioural theory and stakeholder engagement that target both primary care clinicians and patients can improve osteoporosis screening and management at the national level.