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Summary: Scanner mismatch occurs frequently with follow-up dual-energy x-ray absorptiometry (DXA) scans. Nearly one-in-five follow-up DXA scans were conducted on non-cross-calibrated scanners (scanner mismatch) and more than a quarter of patients who had a follow-up DXA scan had experienced scanner mismatch. Introduction: Detecting significant changes in bone mineral density (BMD) with dual-energy x-ray absorptiometry (DXA) scanners relies on the least significant change (LSC). Results from two different DXA scanners can only be compared, albeit with decreased sensitivity for change, if the LSC between the two scanners has been directly determined through cross-calibration. Performing follow-up DXA scans on non-cross-calibrated scanners (scanner mismatch) has safety and economic implications. This study aims to determine the proportion of scanner mismatch occurring at a population level. Methods: All patients who completed at least two DXA scans between 1 April 2009 and 31 December 2018 in the province of Alberta, Canada, were identified using population-based health services databases. Scanner mismatch was defined as a follow-up DXA scan completed on a DXA scanner that differed from and was not cross-calibrated to the previous DXA scanner. Multivariate logistic regression models were used to assess predictive factors that may contribute to scanner mismatch. Results: A total of 264,866 patients with 470,641 follow-up DXA scans were identified. Scanner mismatch occurred in 18.9% of follow-up DXA scans; 28.7% of patients experienced at least one scanner mismatch. Longer duration between scans (OR 1.25, 95% CI 1.24–1.26) and major osteoporotic fracture history before index scan (OR 1.06, 95% CI 1.03–1.08) increased risk of scanner mismatch. Osteoporosis medication use before index scan (OR 0.89; 95% CI 0.88–0.91), recency of follow-up scans (OR 0.98, 95% CI 0.73–0.98), female sex (OR 0.97, 95% CI 0.94–1.00), and age at last scan (OR 0.99, 95% CI 0.99–1.00) were associated with lower risk of scanner mismatch. Conclusion: Scanner mismatch is a common problem, occurring in one-in-five follow-up DXA scans and affecting more than a quarter of patients. Interventions to reduce this large proportion of scanner mismatch are necessary. [ABSTRACT FROM AUTHOR]

Importance: Major gaps in the delivery of appropriate oral anticoagulation therapy (OAC) exist, leaving a large proportion of persons with atrial fibrillation (AF) unnecessarily at risk for stroke and its sequalae., Objective: To investigate whether pharmacist-led OAC prescription can increase the delivery of stroke risk reduction therapy in individuals with AF., Design, Setting, and Participants: This prospective, open-label, patient-level randomized clinical trial of early vs delayed pharmacist intervention from January 1, 2019, to December 31, 2022, was performed in 27 community pharmacies in Alberta, Canada. Pharmacists identified patients 65 years or older with 1 additional stroke risk factor and known, untreated AF (OAC nonprescription or OAC suboptimal dosing) or performed screening using a 30-second single-lead electrocardiogram to detect previously unrecognized AF. Patients with undertreated or newly diagnosed AF eligible for OAC therapy were considered to have actionable AF. Data were analyzed from April 3 to November 30, 2023., Interventions: In the early intervention group, pharmacists prescribed OAC using guideline-based algorithms with follow-up visits at 1 and 3 months. In the delayed intervention group, which served as the usual care control, the primary care physician (PCP) was sent a notification of actionable AF along with a medication list (both enhancement over usual care). After 3 months, patients without OAC optimization in the control group underwent delayed pharmacist intervention., Main Outcomes and Measures: The primary outcome was the difference in the rate of guideline-concordant OAC use in the 2 groups at 3-month follow-up ascertained by a research pharmacist blinded to treatment allocation., Results: Eighty patients were enrolled with actionable AF (9 [11.3%] newly diagnosed in 235 individuals screened). The mean (SD) age was 79.7 (7.4) years, and 45 patients (56.3%) were female. The median CHADS2 (congestive heart failure, hypertension, age, diabetes, and stroke or transient ischemic attack) score was 2 (IQR, 2-3). Seventy patients completed follow-up. Guideline-concordant OAC use at 3 months occurred in 36 of 39 patients (92.3%) in the early intervention group vs 23 of 41 (56.1%) in the control group (P < .001), with an absolute increase of 34% and number needed to treat of 3. Of the 23 patients who received appropriate OAC prescription in the control group, the PCP called the pharmacist for prescribing advice in 6 patients., Conclusions and Relevance: This randomized clinical trial found that pharmacist OAC prescription is a potentially high-yield opportunity to effectively close gaps in the delivery of stroke risk reduction therapy for AF. Scalability and sustainability of pharmacist OAC prescription will require larger trials demonstrating effectiveness and safety., Trial Registration: ClinicalTrials.gov Identifier: NCT03126214.

Background: Benzodiazepines are a class of medications that are being frequently prescribed in Canada but carry significant risk of harm. There has been increasing clinical interest on the potential "sparing effects" of medical cannabis as one strategy to reduce benzodiazepine use. The objective of this study as to examine the association of medical cannabis authorization with benzodiazepine usage between 2013 and 2021 in Alberta, Canada., Methods: A propensity score matched cohort study with patients on regular benzodiazepine treatment authorized to use medical cannabis compared to controls who do not have authorization for medical cannabis. A total of 9690 medically authorized cannabis patients were matched to controls. To assess the effect of medical cannabis use on daily average diazepam equivalence (DDE), interrupted time series (ITS) analysis was used to assess the change in the trend of DDE in the 12 months before and 12 months after the authorization of medical cannabis., Results: Over the follow-up period after medical cannabis authorization, there was no overall change in the DDE use in authorized medical cannabis patients compared to matched controls (- 0.08 DDE, 95% CI: - 0.41 to 0.24). Likewise, the sensitivity analysis showed that, among patients consuming ≤5 mg baseline DDE, there was no change immediately after medical cannabis authorization compared to controls (level change, - 0.04 DDE, 95% CI: - 0.12 to 0.03) per patient as well as in the month-to-month trend change (0.002 DDE, 95% CI: - 0.009 to 0.12) per patient was noted., Conclusions: This short-term study found that medical cannabis authorization had minimal effects on benzodiazepine use. Our findings may contribute ongoing evidence for clinicians regarding the potential impact of medical cannabis to reduce benzodiazepine use., Highlights: • Medical cannabis authorization had little to no effect on benzodiazepine usage among patients prescribed regular benzodiazepine treatment in Alberta, Canada. • Further clinical research is needed to investigate the potential impact of medical cannabis as an alternative to benzodiazepine medication., (© 2024. The Author(s).)

Introduction: T cell activation can lead to osteoporosis and while there are several case reports of fractures occurring after immune checkpoint inhibitor (ICI) use, to date, there are no population level studies looking at fracture risk related to ICI use., Methods: Using Alberta Cancer Registry data, we identified all individuals treated with ICI for cancer between September 29, 2010, and March 31, 2019. Linked records from Alberta's healthcare administrative databases were assessed for the presence of fracture diagnostic codes in the year prior to and up to two years after ICI initiation. Fracture rate was stratified based on the time-period before and after ICI initiation. Fracture rates after ICI were compared to baseline., Results: The study cohort consisted of 1600 ICI users (mean age 65.7 years, 60% male). Most patients were treated with an anti-PD-1 agent (73.9%). ICIs were initiated on average 707.8 days after cancer diagnosis. 76 (4.8%) individuals had a remote history of a major fracture, and 141 (8.8%) had been treated with an osteoporosis medication prior to ICI treatment. The fracture rate in the year prior to ICI initiation was 11.3 per 1000 patient-years. The fracture rate in the year after ICI initiation was significantly higher at 27.3 per 1000 patient-years. The fracture rate dropped to 17.6 per 1000 patient-years in the second year after ICI initiation. The incidence rate ratio of sustaining a major fracture in the year after compared to the year prior to ICI initiation was 2.43 (95% CI 1.34-4.27)., Conclusions: Fracture risk may be increased in cancer patients early after initiation of ICI, and this may represent a novel immune-related adverse event., (© 2023. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation.)

Background: The opioid overdose epidemic in Canada and the United States has become a public health crisis - with exponential increases in opioid-related morbidity and mortality. Recently, there has been an increasing body of evidence focusing on the opioid-sparing effects of medical cannabis use (reduction of opioid use and reliance), and medical cannabis as a potential alternative treatment for chronic pain. The objective of this study is to assess the effect of medical cannabis authorization on opioid use (oral morphine equivalent; OME) between 2013 and 2018 in Alberta, Canada., Methods: All adult patients defined as chronic opioid users who were authorized medical cannabis by their health care provider in Alberta, Canada from 2013 to 2018 were propensity score matched to non-authorized chronic opioid using controls. A total of 5373 medical cannabis patients were matched to controls, who were all chronic opioid users. The change in the weekly average OME of opioid drugs for medical cannabis patients relative to controls was measured. Interrupted time series (ITS) analyses was used to assess the trend change in OME during the 26 weeks (6 months) before and 52 weeks (1 year) after the authorization of medical cannabis among adult chronic opioid users., Results: Average age was 52 years and 54% were female. Patients on low dose opioids (< 50 OME) had an increase in their weekly OME per week (absolute increase of 112.1 OME, 95% CI: 104.1 to 120.3); whereas higher dose users (OME > 100), showed a significant decrease over 6 months (- 435.5, 95% CI: - 596.8 to - 274.2) compared to controls., Conclusions: This short-term study found that medical cannabis authorization showed intermediate effects on opioid use, which was dependent on initial opioid use. Greater observations of changes in OME appear to be in those patients who were on a high dosage of opioids (OME > 100); however, continued surveillance of patients utilizing both opioids and medical cannabis is warranted by clinicians to understand the long-term potential benefits and any harms of ongoing use.

Background: If we are to improve the patient experience, knowing where and with whom people receive professional health advice and treatment (the ecology of medical care) is the first step. We designed this study to define the ecology of medical care in Alberta and to examine whether province-wide implementation of 5 policy changes between 2003 and 2012 changed patterns of care among adults in the province., Methods: This was a retrospective cohort study of adults (age ≥ 18 yr) in Alberta using routinely collected data from 6 linked administrative health databases, the 2016 Canadian Community Health Survey and the Alberta Health Link teletriage system. We collected data on all encounters with pharmacists, primary care physicians, specialists, emergency departments and hospitals in 2002/03, 2009/10 and 2016/17., Results: Between 2002/03 and 2016/17, the community-dwelling adult population of Alberta increased from 2.66 million to 3.84 million; the median age increased from 41 to 43 years, and the proportion with at least 1 ambulatory-care-sensitive condition increased from 20.6% to 27.8%. The proportion who saw a primary care physician decreased significantly (from 70.8% to 68.2%, p < 0.001), as did the proportion who visited an emergency department (from 20.6% to 19.2%, p < 0.001); the declines were seen in all subgroups examined. The proportion who saw a specialist as an outpatient increased from 31.9% to 33.2% ( p < 0.001), and the proportion who received at least 1 medication dispensation increased from 54.9% to 60.2% ( p < 0.001). The proportion admitted to an acute care hospital (5.6%-6.5%) or academic hospital (1.2%) was relatively stable over time., Interpretation: Despite implementation of 5 system-wide changes designed to affect the delivery of primary and specialty medical care as well as the use of pharmacist and nursing services in Alberta, patterns of health care delivery changed little between 2002/03 and 2016/17. Rather than searching for a policy "magic bullet," health care planners may be better served by focusing on upscaling and implementing interventions proven to be efficacious., Competing Interests: Competing interests: None declared., (Copyright 2020, Joule Inc. or its licensors.)

Background: The National Quality Forum endorsed a 3-item Care Transitions Measure (CTM-3), part of the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey, for evaluating hospital care transitions performance., Objective: To explore whether CTM-3 scores are a suitable proxy for quality of transitional care., Design: Retrospective cohort study., Participants: A random sample of 48,384 adults discharged from medical or surgical wards in all 113 acute care hospitals in Alberta, Canada, between April 2011 and March 2016., Main Measures: CTM-3 scores and their associations with all-cause emergency department (ED) visits or non-elective readmissions at 30 days, 3 months, and 12 months anywhere in the province., Results: CTM-3 scores were significantly lower (all p < 0.01) for females, older patients, those discharged from medical wards or teaching hospitals, and those with longer length of stay, higher Charlson scores, prior ED visits/hospitalizations, or who did not return to independent living after discharge. CTM-3 scores were not significantly associated with outcomes at 30 days (mean score 77.5 in those who subsequently had an ED visit/readmission vs. 77.9 in those who did not, p = 0.13, aOR 0.99, 95% CI 0.99-0.99). Although CTM-3 scores were significantly lower in patients who subsequently had ED visit/readmission at 3 months (77.5 vs. 78.5) and 12 months (77.6 vs. 79.5), the magnitude of risk was small: for every 10 point decrease in the CTM-3 score, the risk of ED visit/readmission was 2.6% higher (aOR 1.03, 95% CI 1.01-1.05) at 3 months and 4.0% higher (aOR 1.04, 95% CI 1.01-1.08) at 12 months., Conclusions: The CTM-3 score is influenced by baseline patient and hospital factors, is not associated with 30-day post-discharge outcomes, and is only weakly associated with 3- and 12-month outcomes. These findings suggest that the CTM-3 score is not a good performance measure for the quality of transitional care.

Objective: To determine how frequently 10 low-value services highlighted by Choosing Wisely are done and what factors influence their provision., Methods: This is a retrospective cohort study using routinely collected health data from five linked data sets from 2012 to 2015 in the Canadian province of Alberta to determine the frequency with which 10 low-value services were provided., Results: Between 2012 and 2015, 162 143 people (4% of all 3 814 536 adult Albertans and 5% of the 3  423 135 who saw a physician at least once in that time frame) received at least one of the 10 low-value services, including 29.8% of Albertans older than 75 years (57 811 of 194 068). The proportion of adults receiving low-value services ranged from carotid artery imaging in 0.1% of asymptomatic adults without cerebrovascular disease, to prostate-specific antigen (PSA) testing in 55.5% of men 75 years or older without a history of prostate cancer. Although age, Charlson scores and frequency of primary care visits were associated with low-value service provision, the directions of the association differed across services; however, higher socioeconomic status, increased frequency of specialist contact and higher ratio of specialists to primary care physicians in the patient's region were associated with an increased risk of receiving all of the low-value services we examined. The low-value services which resulted in the greatest costs to the healthcare system were cervical cancer screening in women older than 65 without history of cervical dysplasia or genital cancer, PSA testing in men older than 75 without history of prostate cancer and preoperative stress testing/cardiac imaging before non-cardiac surgery., Conclusions: Even within a universal coverage healthcare system, the proportion of patients receiving low-value services varied widely (from <0.1% to 56%). Increased use was associated with higher socioeconomic status, increased frequency of specialist contact and higher ratio of specialists to primary care physicians., Competing Interests: Competing interests: None declared., (© Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.)

Background: Little is known about cross-hospital differences in critical care units admission rates and related resource utilization and outcomes among patients hospitalized with acute coronary syndromes (ACS) or heart failure (HF)., Methods and Results: Using a population-based sample of 16,078 patients admitted to a critical care unit with a primary diagnosis of ACS (n=14,610) or HF (n=1467) between April 1, 2003 and March 31, 2013 in Alberta, Canada, we stratified hospitals into high (>250), medium (200 to 250), or low (<200) volume based on their annual volume of all ACS and HF hospitalization. The percentage of hospitalized patients admitted to critical care units varied across low, medium, and high-volume hospitals for both ACS and HF as follows: 77.9%, 81.3%, and 76.3% (P<0.001), and 18.0%, 16.3%, and 13.0% (P<0.001), respectively. Compared to low-volume units, critical care patients with ACS and HF admitted to high-volume hospitals had shorter mean critical care stays (56.6 versus 95.6 hours, P<0.001), more critical care procedures (1.9 versus 1.2 per patient, <0.001), and higher resource-intensive weighting (2.8 versus 1.5, P<0.001). No differences in in-hospital mortality (5.5% versus 6.2%, adjusted odds ratio 0.93; 95% CI, 0.61 to 1.41) were observed between high- and low-volume hospitals; however, 30-day cardiovascular readmissions (4.6% versus 6.8%, odds ratio 0.77; 95% CI, 0.60 to 0.99) and cardiovascular emergency-room visits (6.6% versus 9.5%, odds ratio 0.80; 95% CI, 0.69 to 0.94) were lower in high-volume compared to low-volume hospitals. Outcomes stratified by ACS or HF admission diagnosis were similar., Conclusions: Cardiac patients hospitalized in low-volume hospitals were more frequently admitted to critical care units and had longer hospitals stays despite lower resource-intensive weighting. These findings may provide opportunities to standardize critical care utilization for ACS and HF patients across high- and low-volume hospitals., (© 2015 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)

Background: To investigate the relation of residence location, markers of good quality healthcare and adverse clinical outcomes in patients with diabetes and chronic kidney disease (CKD)., Methods: We identified 31 337 individuals with diabetes and estimated glomerular filtration rate (eGFR) 15-59 mL/min/1.73 m(2) from a population-based cohort (n= 1 278 375) of adults with serum creatinine measured at least once during 2005 or 2006 in Alberta, Canada. The study population was classified into categories based on travel distance by road from residence location to the closest nephrologist: (0-50, 50.1-100, 100.1-200 and >200 km)., Results: At follow-up, compared with those living within 50 km, remote dwellers were less likely to visit a nephrologist, less likely to have hemoglobin A1c and urinary albumin measured within 1 year of the index eGFR, and less likely to receive an angiotensin converting enzyme inhibitor, angiotensin receptor blocker or statin (all P < 0.0001). In adjusted models, compared with those with CKD (Stage 3 or 4) living within 50 km, the adjusted likelihood of all-cause hospitalization was [1.4 (95% confidence interval, CI, 1.3-1.6)], [1.3 (95% CI, 1.1-1.6)] and [1.3 (95% CI, 1.2-1.5)]-fold higher for patients living 50.1-100, 100.1-200 and >200 km away from a nephrologist, respectively (P < 0.0001). The hazard ratio of all-cause mortality increased with increasing distance: [1.07 (95% CI, 0.9-1.2)], [1.1 (95% CI, 0.9-1.2)] and [1.2 (95% CI, 1.0-1.4)], respectively (P < 0.0001)., Conclusions: Compared with those living closer to a nephrologist, remote dwellers with diabetes and CKD were less likely to receive recommended quality care, and more likely to experience adverse health outcomes.

Many patients with non-dialysis dependent chronic kidney disease (CKD) live far from the closest nephrologist; although reversible, this might constitute a barrier to optimal care. In order to evaluate outcomes, we selected 31,452 outpatients older than 18 years with an estimated glomerular filtration rate (eGFR) less than 45 ml/min per 1.73 m² who had serum creatinine measured at least once during 2005 in Alberta, Canada. We then used logistic regression to examine the association between outcomes of 6545 patients who lived more than 50 km from the nearest nephrologist. Over a median follow-up of 27 months, 7684 participants died and 15,075 were hospitalized at least once. Compared with those living within 50 km, those further away were significantly less likely to visit a nephrologist or a multidisciplinary CKD clinic within 18 months of the index measurement of the eGFR. Similarly, remote dwellers with diabetes were significantly less likely to have hemoglobin A1c evaluated within 1 year of the index eGFR measurement, to have urinary albumin assessed biannually, or to receive an angiotensin converting enzyme inhibitor or receptor blocker in the setting of diabetes or proteinuria. Remote-dwelling participants were also significantly more likely to die or be hospitalized during follow-up than those living closer. Thus, among people with CKD, remote dwellers were less likely to receive specialist care, recommended laboratory testing, and appropriate medications, and were more likely to die or be hospitalized compared with those living closer to a nephrologist.