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Healthcare delivery systems in Canada are structured using three models: individual institutions, health regions, and single provincial systems, usually with smaller geographic zones. The comparative ability of these models to improve care, outcomes, and the Quadruple Aim is largely unstudied. We reviewed Canadian studies examining outcomes of provincial healthcare delivery system restructuring. Across models, results were inconsistent, and quality of evidence was low. For all provinces, primary care sits outside healthcare delivery systems, with limited governance and integration. The single provincial model can reduce costs of non-clinical support functions like finance, human resources, and analytics. This model may also be best at reducing variations in care, improving electronic information integration that enables clinical decision support and reporting, and supporting the provincial spread and scale of innovations, but further refinements are required and existing studies have major limitations, limiting definitive conclusions.

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BACKGROUND: Peritoneal dialysis (PD) is actively promoted, but increasing PD utilisation is difficult. The objective of this study was to determine if the Starting dialysis on Time, At Home, on the Right Therapy (START) project was associated with an increase in the proportion of dialysis patients receiving PD within 6 months of starting therapy. METHODS: Consecutive patients over age 18, with end-stage kidney failure, who started dialysis between 1 April 2015 and 31 March 2018 in the province of Alberta, Canada. Programmes were provided with high-quality data about the individual steps in the process of care that drive PD utilisation that were used to identify problem areas, design and implement interventions to address them, and then evaluate whether those interventions had impact. The primary outcome was the proportion of patients receiving PD within 6 months of starting dialysis. Secondary outcomes included hospitalisation, death or probability of transfer to haemodialysis (HD). Interrupted time series methodology was used to evaluate the impact of the quality improvement initiative on the primary and secondary outcomes. RESULTS: A total of 1962 patients started dialysis during the study period. Twenty-seven per cent of incident patients received PD at baseline, and there was a 5.4% (95% confidence interval: 1.5-9.2) increase in the use of PD in the province immediately after implementation. There were no changes in the rates of hospitalisation, death or probability of transfer to HD after the introduction of START. CONCLUSIONS: The approach used in the START project was associated with an increase in the use of PD in a setting with high baseline utilisation.

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BACKGROUND: Early interventions in CKD have been shown to improve health outcomes; however, gaps in access to nephrology care remain common. Nurse practitioners can improve access to care; however, the quality and outcomes of nurse practitioner care for CKD are uncertain. METHODS: In this propensity score-matched cohort study, patients with CKD meeting criteria for nurse practitioner care were matched 1:1 on their propensity scores for ( 1 ) nurse practitioner care versus primary care alone and ( 2 ) nurse practitioner versus nephrologist care. Processes of care were measured within 1 year after cohort entry, and clinical outcomes were measured over 5 years of follow-up and compared between propensity score-matched groups. RESULTS: A total of 961 (99%) patients from the nurse practitioner clinic were matched on their propensity score to 961 (1%) patients receiving primary care only while 969 (100%) patients from the nurse practitioner clinic were matched to 969 (7%) patients receiving nephrologist care. After matching to patients receiving primary care alone, those receiving nurse practitioner care had greater use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker (82% versus 79%; absolute differences [ADs] 3.4% [95% confidence interval, 0.0% to 6.9%]) and statins (75% versus 66%; AD 9.7% [5.8% to 13.6%]), fewer prescriptions of nonsteroidal anti-inflammatory drugs (10% versus 17%; AD -7.2% [-10.4% to -4.2%]), greater eGFR and albuminuria monitoring, and lower rates of all-cause hospitalization (34.1 versus 43.3; rate difference -9.2 [-14.7 to -3.8] per 100 person-years) and all-cause mortality (3.3 versus 6.0; rate difference -2.7 [-3.6 to -1.7] per 100 person-years). When matched to patients receiving nephrologist care, those receiving nurse practitioner care were also more likely to be prescribed angiotensin-converting enzyme inhibitors/angiotensin receptor blockers and statins, with no difference in the risks of experiencing adverse clinical outcomes. CONCLUSIONS: Nurse practitioner care for patients with CKD was associated with better guideline-concordant care than primary care alone or nephrologist care, with clinical outcomes that were better than or equivalent to primary care alone and similar to those with care by nephrologists. PODCAST: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_12_08_CJN0000000000000305.mp3.

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BACKGROUND: The influence of fee-for-service reimbursement on cardiac imaging has not been compared with other payment models. Furthermore, variation in ordering practices is not well understood. METHODS AND RESULTS: This retrospective, population-based cohort study using linked administrative data from Alberta, Canada included adults with chronic heart disease (atrial fibrillation, coronary artery disease, and heart failure) seen by cardiac specialists for a new outpatient consultation April 2012 to December 2018. Generalized linear mixed-effects models estimated the association of payment model (including the ability to bill to interpret imaging tests) and the use of cardiac imaging and quantified variation in cardiac imaging. Among 31 685 adults seen by 308 physicians at 136 sites, patients received an observed mean of 0.67 (95% CI, 0.67-0.68) imaging tests per consultation. After adjustment, patients seeing fee-for-service physicians had 2.07 (95% CI, 1.68-2.54) and fee-for-service physicians with ability to interpret had 2.87 (95% CI, 2.16-3.81) times the rate of receiving a test than those seeing salaried physicians. Measured patient, physician, and site effects accounted for 31% of imaging variation and, following adjustment, reduced unexplained site-level variation 40% and physician-level variation 29%. CONCLUSIONS: We identified substantial variation in the use of outpatient cardiac imaging related to physician and site factors. Physician payment models have a significant association with imaging use. Our results raise concern that payment models may influence cardiac imaging practice. Similar methods could be applied to identify the source and magnitude of variation in other health care processes and outcomes.

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Background: The kidney failure risk equation (KFRE) can be used to predict progression to end-stage kidney disease in a clinical setting. Objective: Evaluate implementation of a formalized risk-based approach in nephrologists' outpatient clinics and multidisciplinary chronic kidney disease (CKD) clinics to determine candidacy for multidisciplinary care, and the impact of CKD care selection on clinical outcomes. Design: Population-based descriptive cohort study. Setting: Alberta Kidney Care South. Patients: Adults attending or considered for a multidisciplinary CKD clinic between April 1, 2017, and March 31, 2019. Measurements: Exposure-The course of CKD care assigned by the nephrologist: management at multidisciplinary CKD clinic; management by a nephrologist or primary care physician. Primary Outcome-CKD progression, defined as commencement of kidney replacement therapy (KRT). Secondary Outcomes-Death, emergency department visits, and hospitalizations. Methods: We linked operational data from the clinics (available until March 31, 2019) with administrative health and laboratory data (available until March 31, 2020). Comparisons among patient groups, courses of care, and clinical settings with negative binomial regression count models and calculated unadjusted and fully adjusted incidence rate ratios. For the all-cause death outcome, we used Cox survival models to calculate unadjusted and fully adjusted hazard ratios. Results: Of the 1748 patients for whom a KFRE was completed, 1347 (77%) remained in or were admitted to a multidisciplinary CKD clinic, 310 (18%) were managed by a nephrologist only, and 91 (5%) were referred back for management by their primary care physician. There was a much higher kidney failure risk among patients who remained at or were admitted to a multidisciplinary CKD clinic (median 2-year risk of 34.7% compared with 3.6% and 0.8% who remained with a nephrologist or primary care physician, respectively). None of the people managed by their primary care physician alone commenced KRT, while only 2 (0.6%) managed by a nephrologist without multidisciplinary CKD care commenced KRT. The rates of emergency department visits, hospitalizations, and death were lower in those assigned to management outside the multidisciplinary CKD clinics when compared with those managed in the multidisciplinary care setting. Limitations: The follow-up period may not have been long enough to determine outcomes, and potentially limited generalizability given variability of care in multidisciplinary clinics. Conclusions: Our findings indicate that a portion of patients can be directed to less resource-intensive care without a higher risk of adverse events. Trial registration: Not applicable.

Contexte: L'équation KFRE (Kidney Failure Risk Equation) peut être utilisée en environnement clinique pour prédire le risque d'évolution vers l'insuffisance rénale terminale (IRT). Objectif: Évaluer la mise en œuvre d'une approche structurée fondée sur le risque dans les cliniques multidisciplinaires d'insuffisance rénale chronique (IRC) et les cliniques ambulatoires des néphrologues afin de déterminer l'aptitude des patients à recevoir des soins multidisciplinaires et de mesurer l'incidence des soins d'IRC reçus sur les résultats cliniques. Conception: Étude de cohorte populationnelle descriptive. Cadre: Alberta Kidney Care South. Sujets: Adultes fréquentant ou envisageant de fréquenter une clinique multidisciplinaire d'IRC entre le 1er avril 2017 et le 31 mars 2019. Mesures: Exposition­le parcours de soins d'IRC attribué par le néphrologue ­ prise en charge en clinique multidisciplinaire d'IRC; prise en charge par un néphrologue ou un médecin de premier recours. Principaux résultats­progression de l'IRC, définie comme l'amorce d'une thérapie de remplacement rénal (TRR). Résultats secondaires­décès, visites aux urgences et hospitalisations. Méthodologie: Nous avons couplé les données opérationnelles des cliniques (disponibles jusqu'au 31 mars 2019) aux données administratives de santé et aux données de laboratoire (disponibles jusqu'au 31 mars 2020). Des modèles de régression binomiale négative et des rapports des taux d'incidence non corrigés et entièrement corrigés ont servi aux comparaisons entre les groupes de patients, les parcours de soins et les environnements cliniques. Les risques relatifs non corrigés et entièrement corrigés de décès toutes causes confondues ont été calculés à l'aide de modèles de survie de Cox. Résultats: Des 1 748 patients avec une KFRE calculée, 1 347 (77 %) sont restés ou ont été admis dans une clinique multidisciplinaire d'IRC, 310 (18 %) ont été pris en charge par un néphrologue seulement et 91 (5 %) ont été orientés pour une prise en charge par leur médecin de premier recours. Le risque d'insuffisance rénale terminale était beaucoup plus élevé chez les patients restés ou admis dans une clinique multidisciplinaire d'IRC (risque médian à 2 ans : 34,7 %) que chez ceux pris en charge par un néphrologue (3,6 %) et par un médecin de premier recours (0,8 %). Aucun patient pris en charge par un médecin de premier recours n'avait amorcé une TRR; 2 personnes (0,6 %) prises en charge par un néphrologue sans soins multidisciplinaires d'IRC avaient amorcé une TRR. Les taux de visites aux urgences, d'hospitalisations et de décès étaient plus faibles chez les patients pris en charge à l'extérieur des cliniques multidisciplinaires d'IRC comparativement à ceux pris en charge dans ces cliniques. Limites: La période de suivi n'était peut-être pas été assez longue pour déterminer les résultats. La variabilité des soins dans les cliniques multidisciplinaires pourrait également limiter la généralisation des résultats. Conclusion: Nos résultats suggèrent qu'une partie des patients pourrait être dirigée vers des soins nécessitant moins de ressources sans hausser le risque d'événements indésirables.

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Background: The Assessing Outcomes of Enhanced Chronic Disease Care Through Patient Education and a Value-based Formulary Study (ACCESS) was a 2 x 2 factorial randomized trial that tested the impact of a tailored self-management education support (SMES) program, which demonstrated a 22% reduction in adverse clinical events. We sought to qualitatively explore participants' perspectives on the SMES intervention, and the ways in which it may have improved self-management skills. Methods: We used a qualitative descriptive approach and conducted individual semistructured interviews. We conducted inductive and deductive thematic analysis using NVivo 12 (QSR International, Burlington, MA). Results: We interviewed 20 participants who had recently completed the 3-year SMES intervention. The following 3 main themes emerged from the data: (i) empowerment; (ii) intervention acceptability; and (iii) suggestions for improvement. Regarding empowerment, we identified subthemes of health literacy, self-efficacy, self-management, and active role in health. Several participants reported that empowerment promoted health behaviour change or improved confidence in self-management. Regarding acceptability, we identified subthemes of ease of use and presentation style. Most participants expressed positive feelings toward the intervention and felt that it was easy to understand. Finally, we identified subthemes of learning style, content, and engagement strategies, within the theme of suggestions for improvement. Some participants said that the messages were too general and did not fully address the complex health concerns they had. Conclusions: Our results highlighted key strategies to promote patient engagement and self-management behaviours and demonstrated how they may have been used to improve clinical endpoints. Additionally, we demonstrated the novel use of marketing principles in SMES interventions.

Contexte: L'étude ACCESS (pour Assessing Outcomes of Enhanced Chronic Disease Care Through Patient Education and a Value-based Formulary Study) était un essai à répartition aléatoire avec un plan factoriel 2 x 2 qui a mesuré l'effet d'un programme personnalisé de soutien à la formation sur l'autogestion dans laquelle une réduction de 22 % des événements cliniques défavorables a été observée. Notre objectif était de réaliser une exploration qualitative du point de vue des patients au sujet de l'intervention et des façons dont elle a permis d'améliorer leurs habiletés d'autogestion. Méthodologie: Nous avons utilisé une approche descriptive et qualitative et nous avons mené des entretiens individuels semi-structurés auprès des participants. Des analyses thématiques inductive et déductive ont été réalisées avec NVivo 12 (QSR International, Burlington MA). Résultats: Des entretiens ont été menés auprès de 20 personnes ayant récemment terminé l'intervention de 3 ans. Les données recueillies ont permis de cerner 3 thèmes principaux : (i) l'autonomisation; (ii) l'acceptabilité de l'intervention; et (iii) les suggestions pour l'amélioration du programme. En ce qui concerne l'autonomisation des patients, nous avons relevé les sous-thèmes de la littératie dans le domaine de la santé, de l'auto-efficacité, de l'autogestion et de la participation active dans le domaine de la santé. Plusieurs participants ont mentionné que l'autonomisation avait favorisé des changements de comportements liés à la santé ou avait amélioré leur niveau de confiance quant à leur autogestion. Pour ce qui est de l'acceptabilité, nous avons noté les sous-thèmes de la facilité d'utilisation et du style des présentations. La plupart des participants ont exprimé une opinion favorable au sujet de l'intervention et la trouvaient facile à comprendre. En dernier lieu, nous avons relevé les thèmes des styles d'apprentissage, du contenu et des stratégies de mobilisation, que nous avons regroupés sous le thème des suggestions d'amélioration. Certains participants ont mentionné que les messages étaient trop généraux et n'abordaient pas leurs préoccupations complexes liées à la santé. Conclusions: Les résultats que nous avons obtenus ont mis en évidence des stratégies clés pour favoriser la participation des patients et leurs comportements d'autogestion et la façon dont elles ont pu améliorer les résultats cliniques de patients. De plus, nous avons démontré une nouvelle utilisation de principes tirés du domaine du marketing dans des interventions de soutien à la formation sur l'autogestion.

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BACKGROUND: There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations. OBJECTIVES: To update existing systematic reviews of diabetes QI programmes and apply novel meta-analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care. SEARCH METHODS: We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top-up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section. SELECTION CRITERIA: We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system- or provider-targeted QI strategy alone or in combination with a patient-targeted strategy. - System-targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). - Provider-targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). - Patient-targeted: patient education (PE); promotion of self-management (PSM); patient reminders (PR). Patient-targeted QI strategies needed to occur with a minimum of one provider or system-targeted strategy. DATA COLLECTION AND ANALYSIS: We dual-screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta-regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outcomes. To explore this further, we extended the main additive model for continuous outcomes (HbA1c, SBP and LDL-C) to include an interaction term between each strategy and average baseline risk for each study (baseline thresholds were based on a data-driven approach; we used the median of all baseline values reported in the trials). Based on model diagnostics, the baseline interaction models for HbA1c, SBP and LDL-C performed better than the main model and are therefore presented as the primary analyses for these outcomes. Based on the model results, we qualitatively ordered each QI strategy within three tiers (Top, Middle, Bottom) based on its magnitude of effect relative to the other QI strategies, where 'Top' indicates that the QI strategy was likely one of the most effective strategies for that specific outcome. Secondary analyses explored the sensitivity of results to choices in model specification and priors.  Additional information about the methods and results of the review are available as Appendices in an online repository. This review will be maintained as a living systematic review; we will update our syntheses as more data become available. MAIN RESULTS: We identified 553 trials (428 patient-randomised and 125 cluster-randomised trials), including a total of 412,161 participants. Of the included studies, 66% involved people living with type 2 diabetes only. Participants were 50% female and the median age of participants was 58.4 years. The mean duration of follow-up was 12.5 months. HbA1c was the commonest reported outcome; screening outcomes and outcomes related to cardiovascular medications, smoking and harms were reported infrequently. The most frequently evaluated QI strategies across all study arms were PE, PSM and CM, while the least frequently evaluated QI strategies included AF, FI and CQI. Our confidence in the evidence is limited due to a lack of information on how studies were conducted.  Four QI strategies (CM, TC, PE, PSM) were consistently identified as 'Top' across the majority of outcomes. All QI strategies were ranked as 'Top' for at least one key outcome. The majority of effects of individual QI strategies were modest, but when used in combination could result in meaningful population-level improvements across the majority of outcomes. The median number of QI strategies in multicomponent QI programmes was three.  Combinations of the three most effective QI strategies were estimated to lead to the below effects:  - PR + PSM + CE: decrease in HbA1c by 0.41% (credibility interval (CrI) -0.61 to -0.22) when baseline HbA1c < 8.3%; - CM + PE + EPR: decrease in HbA1c by 0.62% (CrI -0.84 to -0.39) when baseline HbA1c > 8.3%;  - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) when baseline SBP < 136 mmHg; - CM + TC + PSM: reduction in SBP by 4.39 mmHg (CrI -6.20 to -2.56) when baseline SBP > 136 mmHg;  - TC + PE + CM: LDL-C lowering of 5.73 mg/dL (CrI -7.93 to -3.61) when baseline LDL < 107 mg/dL; - TC + CM + CR: LDL-C lowering by 5.52 mg/dL (CrI -9.24 to -1.89) when baseline LDL > 107 mg/dL. Assuming a baseline screening rate of 50%, the three most effective QI strategies were estimated to lead to an absolute improvement of 33% in retinopathy screening (PE + PR + TC) and 38% absolute increase in foot screening (PE + TC + Other). AUTHORS' CONCLUSIONS: There is a significant body of evidence about QI programmes to improve the management of diabetes. Multicomponent QI programmes for diabetes care (comprised of effective QI strategies) may achieve meaningful population-level improvements across the majority of outcomes. For health system decision-makers, the evidence summarised in this review can be used to identify strategies to include in QI programmes. For researchers, this synthesis identifies higher-priority QI strategies to examine in further research regarding how to optimise their evaluation and effects. We will maintain this as a living systematic review.

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BACKGROUND: Choosing Wisely Canada (CWC) recommends avoiding noninvasive advanced cardiac testing (e.g., exercise stress testing [EST], echocardiography and myocardial perfusion imaging [MPI]) for preoperative assessment in patients scheduled to undergo low-risk noncardiac surgery. In this study, we assessed the temporal trends in testing, overlapping with the introduction of the CWC recommendations in 2014, and patient and provider factors associated with low-value testing. METHODS: In this population-based retrospective cohort study, we used linked health administrative data in Alberta, Canada, to identify adult patients who underwent elective noncardiac surgery between Apr. 1, 2011, and Mar. 31, 2019, who had preoperative noninvasive advanced cardiac tests (EST, echocardiography or MPI) within 6 months before surgery. We included electrocardiography as an exploratory outcome. We excluded patients at high risk using the Revised Cardiac Risk Index (score ≥ 1 considered to indicate high risk), and modelled patient and temporal factors associated with the number of tests. RESULTS: We identified 1 045 896 elective noncardiac operations performed in 798 599 patients and 25 599 advanced preoperative cardiac tests; 2.1% of operations were preceded by advanced cardiac testing. The incidence of testing increased over the study period, and, by 2018/19, patients were 1.3 times (95% confidence interval 1.2-1.4) more likely to receive a preoperative advanced test compared to 2011/12. Urban patients were more likely to receive a preoperative advanced cardiac test than their rural counterparts. Electrocardiography was the most common preoperative cardiac test, preceding 182 128 procedures (17.4%). INTERPRETATION: Preoperative advanced cardiac testing was infrequent in adult Albertans who underwent low-risk elective noncardiac operations. Despite CWC recommendations, the use of some tests appears to be increasing, and there was substantial variation across geographic areas.

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BACKGROUND: People with kidney failure often require surgery and experience worse postoperative outcomes compared to the general population, but existing risk prediction tools have excluded those with kidney failure during development or exhibit poor performance. Our objective was to derive, internally validate, and estimate the clinical utility of risk prediction models for people with kidney failure undergoing non-cardiac surgery. DESIGN, SETTING, PARTICIPANTS, AND MEASURES: This study involved derivation and internal validation of prognostic risk prediction models using a retrospective, population-based cohort. We identified adults from Alberta, Canada with pre-existing kidney failure (estimated glomerular filtration rate [eGFR] < 15 mL/min/1.73m2 or receipt of maintenance dialysis) undergoing non-cardiac surgery between 2005-2019. Three nested prognostic risk prediction models were assembled using clinical and logistical rationale. Model 1 included age, sex, dialysis modality, surgery type and setting. Model 2 added comorbidities, and Model 3 added preoperative hemoglobin and albumin. Death or major cardiac events (acute myocardial infarction or nonfatal ventricular arrhythmia) within 30 days after surgery were modelled using logistic regression models. RESULTS: The development cohort included 38,541 surgeries, with 1,204 outcomes (after 3.1% of surgeries); 61% were performed in males, the median age was 64 years (interquartile range [IQR]: 53, 73), and 61% were receiving hemodialysis at the time of surgery. All three internally validated models performed well, with c-statistics ranging from 0.783 (95% Confidence Interval [CI]: 0.770, 0.797) for Model 1 to 0.818 (95%CI: 0.803, 0.826) for Model 3. Calibration slopes and intercepts were excellent for all models, though Models 2 and 3 demonstrated improvement in net reclassification. Decision curve analysis estimated that use of any model to guide perioperative interventions such as cardiac monitoring would result in potential net benefit over default strategies. CONCLUSIONS: We developed and internally validated three novel models to predict major clinical events for people with kidney failure having surgery. Models including comorbidities and laboratory variables showed improved accuracy of risk stratification and provided the greatest potential net benefit for guiding perioperative decisions. Once externally validated, these models may inform perioperative shared decision making and risk-guided strategies for this population.

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BACKGROUND: Self-management education and support (SMES) interventions have modest effects on intermediate outcomes for those at risk of cardiovascular disease, but few studies have measured or demonstrated an effect on clinical end points. Advertising for commercial products is known to influence behavior, but advertising principles are not typically incorporated into SMES design. METHODS: This randomized trial studied the effect of a novel tailored SMES program designed by an advertising firm among a population of older adults with low income at high cardiovascular risk in Alberta, Canada. The intervention included health promotion messaging from a fictitious "peer" and facilitated relay of clinical information to patients' primary care provider and pharmacist. The primary outcome was the composite of death, myocardial infarction, stroke, coronary revascularization, and hospitalizations for cardiovascular-related ambulatory care-sensitive conditions. Rates of the primary outcome and its components were compared using negative binomial regression. Secondary outcomes included quality of life (EQ-5D [EuroQoL 5-dimension] index score), medication adherence, and overall health care costs. RESULTS: We randomized 4761 individuals, with a mean age of 74.4 years, of whom 46.8% were female. There was no evidence of statistical interaction (P=0.99) or of a synergistic effect between the 2 interventions in the factorial trial with respect to the primary outcome, which allowed us to evaluate the effect of each intervention separately. Over a median follow-up time of 36 months, the rate of the primary outcome was lower in the group that received SMES compared with the control group (incidence rate ratio, 0.78 [95% CI, 0.61 to 1.00]; P=0.047). No significant between-group changes in quality of life over time were observed (mean difference, 0.0001 [95% CI, -0.018 to 0.018]; P=0.99). The proportion of participants who were adherent to medications was not different between the 2 groups (P=0.199 for statins and P=0.754 for angiotensin-converting enzyme inhibitors/angiotensin receptor blockers). Overall adjusted health care costs did not differ between those receiving SMES and the control group ($2015 [95% CI, -$1953 to $5985]; P=0.320). CONCLUSIONS: For older adults with low income, a tailored SMES program using advertising principles reduced the rate of clinical outcomes compared with usual care. The mechanisms of improvement are unclear and further studies are required. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT02579655.

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BACKGROUND: One in eight people with heart disease has poor medication adherence that, in part, is related to copayment costs. This study tested whether eliminating copayments for high-value medications among low-income older adults at high cardiovascular risk would improve clinical outcomes. METHODS: This randomized 2×2 factorial trial studied 2 distinct interventions in Alberta, Canada: eliminating copayments for high-value preventive medications and a self-management education and support program (reported separately). The findings for the first intervention, which waived the usual 30% copayment on 15 medication classes commonly used to reduce cardiovascular events, compared with usual copayment, is reported here. The primary outcome was the composite of death, myocardial infarction, stroke, coronary revascularization, and cardiovascular-related hospitalizations over a 3-year follow-up. Rates of the primary outcome and its components were compared using negative binomial regression. Secondary outcomes included quality of life (Euroqol 5-dimension index score), medication adherence, and overall health care costs. RESULTS: A total of 4761 individuals were randomized and followed for a median of 36 months. There was no evidence of statistical interaction (P=0.99) or of a synergistic effect between the 2 interventions in the factorial trial with respect to the primary outcome, which allowed us to evaluate the effect of each intervention separately. The rate of the primary outcome was not reduced by copayment elimination, (521 versus 533 events, incidence rate ratio 0.84 [95% CI, 0.66-1.07], P=0.162). The incidence rate ratio for nonfatal myocardial infarction, nonfatal stroke, and cardiovascular death (0.97 [95% CI, 0.67-1.39]), death (0.94 [95% CI, 0.80 to 1.11]), and cardiovascular-related hospitalizations (0.78 [95% CI, 0.57 to 1.06]) did not differ between groups. No significant between-group changes in quality of life over time were observed (mean difference, 0.012 [95% CI, -0.006 to 0.030], P=0.19). The proportion of participants who were adherent to statins was 0.72 versus 0.69 for the copayment elimination versus usual copayment groups, respectively (mean difference, 0.03 [95% CI, 0.006-0.06], P=0.016). Overall adjusted health care costs did not differ ($3575 [95% CI, -605 to 7168], P=0.098). CONCLUSIONS: In low-income adults at high cardiovascular risk, eliminating copayments (average, $35/mo) did not improve clinical outcomes or reduce health care costs, despite a modest improvement in adherence to medications. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT02579655.

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OBJECTIVE: The aim of this study was to estimate the association between estimated glomerular filtration rate (eGFR) and acute myocardial infarction (AMI) or death after ambulatory noncardiac surgery. SUMMARY BACKGROUND DATA: People with chronic kidney disease (CKD) commonly undergo surgical procedures. Although most are performed in an ambulatory setting, the risk of major perioperative outcomes after ambulatory surgery for people with CKD is unknown. METHODS: In this retrospective population-based cohort study using administrative health data from Alberta, Canada, we included adults with measured preoperative kidney function undergoing ambulatory noncardiac surgery between April 1, 2005 and February 28, 2017. Participants were categorized into 6 eGFR categories (in mL/min/1.73m 2 )of ≥60 (G1-2), 45 to 59 (G3a), 30 to 44 (G3b), 15 to 29 (G4), <15 not receiving dialysis (G5ND), and those receiving chronic dialysis (G5D). The odds of AMI or death within 30 days of surgery were estimated using multivariable generalized estimating equation models. RESULTS: We identified 543,160 procedures in 323,521 people with a median age of 66 years (IQR 56-76); 52% were female. Overall, 2338 people (0.7%) died or had an AMI within 30 days of surgery. Compared with the G1-2 category, the adjusted odds ratio of death or AMI increased from 1.1 (95% confidence interval: 1.0-1.3) for G3a to 3.1 (2.6-3.6) for G5D. Emergency Department and Urgent Care Center visits within 30 days were frequent (17%), though similar across eGFR categories. CONCLUSIONS: Ambulatory surgery was associated with a low risk of major postoperative events. This risk was higher for people with CKD, which may inform their perioperative shared decision-making and management.

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OBJECTIVES: Our aim in this study was to describe patterns and patient-level factors associated with use of sodium-glucose cotransporter-2 inhibitors (SGLT2is) among adults with diabetes being treated in Alberta, Canada. METHODS: Using linked administrative data sets from 2014 to 2019, we defined a retrospective cohort of adults with prevalent or incident type 2 diabetes with indications for SGLT2i use and who did not have advanced kidney disease (glomerular filtration rate <30 mL/min per 1.73 m2) or previous amputation. We describe medication dispensation patterns of SGLT2is over time in the overall cohort and among the subgroup with cardiovascular disease (CVD). Multivariable logistic regression was used to determine patients' characteristics associated with SGLT2i use. RESULTS: Of the 341,827 patients with diabetes (mean age, 60.7 years; 45.6% female), 107,244 (31.3%) had CVD. The proportion of patients with an SGLT2i prescription increased in a linear fashion to a maximum of 10.8% (95% confidence interval [CI], 10.7% to 10.9%) of the eligible cohort by the end of the observation period (March 2019). The proportion of filled prescriptions was similar for patients with CVD (10.4%; 95% CI, 10.1% to 10.6%) and for those without CVD (10.9%; 95% CI, 10.8% to 11.0%). Patients' characteristics associated with lower odds of filling an SGLT2i prescription included female sex, older age and lower income. CONCLUSIONS: The use of SGLT2is is increasing among patients with diabetes but remains low even in those with CVD. Policy and practice changes to increase prescribing, especially in older adults, may help to reduce morbidity and mortality related to cardiovascular and renal complications.

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BACKGROUND: Assessment of potential geographic variation in quality indicators of atrial fibrillation care may identify opportunities for improvement in the quality of atrial fibrillation care. The objective of this study was to assess for potential geographic variation in the quality of atrial fibrillation care in Alberta, Canada. METHODS: In a population-based cohort of adults (age ≥ 18 yr) with incident nonvalvular atrial fibrillation (NVAF) diagnosed between Apr. 1, 2008, and Mar. 31, 2016, in Alberta, we investigated the variation in national quality indicators of atrial fibrillation care developed by the Canadian Cardiovascular Society. Specifically, we assessed the geographic and temporal variation in the proportion of patients with initiation of oral anticoagulant therapy, persistence with therapy, ischemic stroke and major bleeding outcomes 1 year after atrial fibrillation diagnosis using linked administrative data sets. We defined stroke risk using the CHADS2 score. We assessed geographic variation using small-area variation statistics and geospatial data analysis. RESULTS: Of the 64 093 patients in the study cohort (35 019 men [54.6%] and 29 074 women [45.4%] with a mean age of 69 [standard deviation 15.9] yr), 36 199 were at high risk for stroke and 14 411 were at moderate risk. Within 1 year of NVAF diagnosis, 20 180 patients (55.7%) in the high-risk group and 6448 patients (44.7%) in the moderate-risk group were prescribed anticoagulation. A total of 2187 patients (3.4%) had an ischemic stroke, and 2996 patients (4.7%) experienced a major bleed. There was substantial regional variation observed in initiation of oral anticoagulant therapy but not in the proportion of patients with ischemic stroke or major bleeding. Among the 64 Health Status Areas in Alberta, therapy initiation rates ranged from 22.6% to 71.2% among patients at high stroke risk and from 22.7% to 55.8% among those at moderate stroke risk, with clustering of lower therapy initiation rates in rural northern regions. INTERPRETATION: The rate of initiation of oral anticoagulant therapy among adults with incident atrial fibrillation was less than 60% in patients in whom oral anticoagulant therapy would be considered guideline-appropriate care. The large geographic variation in oral anticoagulant prescribing warrants additional study into patient, provider and health care system factors that contribute to variation and drive disparities in high-quality, equitable atrial fibrillation care.

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BACKGROUND: The growing burden associated with population aging, dementia and multimorbidity poses potential challenges for the sustainability of health systems worldwide. We sought to examine how the intersection among age, dementia and greater multimorbidity is associated with health care costs. METHODS: We did a retrospective population-based cohort study in Alberta, Canada, with adults aged 65 years and older between April 2003 and March 2017. We identified 31 morbidities using algorithms (30 algorithms were validated), which were applied to administrative health data, and assessed costs associated with hospital admission, provider billing, ambulatory care, medications and long-term care (LTC). Actual costs were used for provider billing and medications; estimated costs for inpatient and ambulatory patients were based on the Canadian Institute for Health Information's resource intensive weights and Alberta's cost of a standard hospital stay. Costs for LTC were based on an estimated average daily cost. RESULTS: There were 827 947 people in the cohort. Dementia was associated with higher mean annual total costs and individual mean component costs for almost all age categories and number of comorbidities categories (differences in total costs ranged from $27 598 to $54 171). Similarly, increasing number of morbidities was associated with higher mean total costs and component costs (differences in total costs ranged from $4597 to $10 655 per morbidity). Increasing age was associated with higher total costs for people with and without dementia, driven by increasing LTC costs (differences in LTC costs ranged from $115 to $9304 per age category). However, there were no consistent trends between age and non-LTC costs among people with dementia. When costs attributable to LTC were excluded, older age tended to be associated with lower costs among people with dementia (differences in non-LTC costs ranged from -$857 to -$7365 per age category). INTERPRETATION: Multimorbidity, older age and dementia were all associated with increased use of LTC and thus health care costs, but some costs among people with dementia decreased at older ages. These findings illustrate the complexity of projecting the economic consequences of the aging population, which must account for the interplay between multimorbidity and dementia.

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BACKGROUND: Bluetooth-enabled smartphone apps have been developed and implemented in different sites globally to help overcome capacity limitations of traditional interview-based COVID-19 contact tracing. Two apps are currently available in Canada: ABTraceTogether exclusively in Alberta and COVID Alert in nine other provinces and territories. This study aims to examine factors associated with downloading of these apps to inform targeted promotion and marketing to increase app uptake. METHODS: We performed a cross-sectional survey with adult participants (≥18 years old) from an online national panel. Participants were asked if they had downloaded an app and, if applicable, reasons for not downloading. Logistic regression was used to identify sociodemographic factors and trusted information sources associated with downloading and reasons for not downloading. RESULTS: Of the included 4,503 respondents (36% response rate), 1,394 (31%) had downloaded an app. Demographic and socioeconomic factors positively associated with app download were: 1) being female, 2) higher household income, 3) higher education level attained, and 4) more liberal political views. The odds of downloading an app were higher for participants who trusted health-related information sources, and lower for those who trusted internet searches, family and friend, or Facebook. The most cited reasons for not downloading were related to data security concerns and perceived lack of benefit from the apps. INTERPRETATION: These findings identify sociodemographic segments with the lowest app uptake, reasons for not downloading and trusted information sources to inform targeted promotion and marketing strategies to improve uptake of apps to facilitate contact tracing.

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Introduction: Self-management education and support (SMES) programs can prevent adverse chronic disease outcomes, but factors modifying their reception remain relatively unexplored. We examined how perceptions of an SMES program were influenced by the mode of delivery, and co-receipt of a paired financial benefit. Methods and Patients: Using a cross-sectional survey, we evaluated the perceived helpfulness of a SMES program among 446 low-income seniors at high risk for cardiovascular events in Alberta, Canada. Secondary outcomes included frequency of use, changes in perspectives on health, satisfaction with the program, and comprehensibility of the material. Participants received surveys after engaging with the program for at least 6 months. We used modified Poisson regression to calculate relative risks. Open-ended questions were analyzed inductively. Results: The majority of participants reported that the SMES program was helpful (>80%). Those who also received the financial benefit (elimination of medication copayments) were more likely to report that the SMES program was helpful (RR 1.24, 95% CI 1.11-1.39). Those who received the program electronically were more likely to use the program weekly (RR 1.51, 1.25-1.84). Both those who received the intervention electronically (RR 1.18, 1.06-1.33), and those who also received copayment elimination (RR 1.17, 1.05-1.31) were more likely to state that the program helped change their perspectives on health. Conclusion: When designing SMES programs, providing the option for electronic delivery appears to promote greater use for seniors. The inclusion of online-delivery and co-receipt of tangible benefits when designing an SMES program for seniors results in favorable reception and could facilitate sustained adherence to health behavior recommendations. Participants also specifically expressed that what they enjoyed most was that the SMES program was informative, helpful, engaging, and supportive.

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BACKGROUND: Few studies have categorized high-cost patients (defined by accumulated health care spending above a predetermined percentile) into distinctive groups for which potentially actionable interventions may improve outcomes and reduce costs. We sought to identify homogeneous groups within the persistently high-cost population to develop a taxonomy of subgroups that may be targetable with specific interventions. METHODS: We conducted a retrospective analysis in which we identified adults (≥ 18 yr) who lived in Alberta between April 2014 and March 2019. We defined "persistently high-cost users" as those in the top 1% of health care spending across 4 data sources (the Discharge Abstract Database for inpatient encounters; Practitioner Claims for outpatient primary care and specialist encounters; the Ambulatory Care Classification System for emergency department encounters; and the Pharmaceutical Information Network for medication use) in at least 2 consecutive fiscal years. We used latent class analysis and expert clinical opinion in tandem to separate the persistently high-cost population into subgroups that may be targeted by specific interventions based on their distinctive clinical profiles and the drivers of their health system use and costs. RESULTS: Of the 3 919 388 adults who lived in Alberta for at least 2 consecutive fiscal years during the study period, 21 115 (0.5%) were persistently high-cost users. We identified 9 subgroups in this population: people with cardiovascular disease (n = 4537; 21.5%); people receiving rehabilitation after surgery or recovering from complications of surgery (n = 3380; 16.0%); people with severe mental health conditions (n = 3060; 14.5%); people with advanced chronic kidney disease (n = 2689; 12.7%); people receiving biologic therapies for autoimmune conditions (n = 2538; 12.0%); people with dementia and awaiting community placement (n = 2520; 11.9%); people with chronic obstructive pulmonary disease or other respiratory conditions (n = 984; 4.7%); people receiving treatment for cancer (n = 832; 3.9%); and people with unstable housing situations or substance use disorders (n = 575; 2.7%). INTERPRETATION: Using latent class analysis supplemented with expert clinical review, we identified 9 policy-relevant subgroups among persistently high-cost health care users. This taxonomy may be used to inform policy, including identifying interventions that are most likely to improve care and reduce cost for each subgroup.

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