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PURPOSE: This paper reports the quantitative component of a mixed-methods study of patient flow in the 10 urban health regions/zones of Western Canada. We assessed whether jurisdictions differed meaningfully in their emergency flow performance, defined as mean emergency department length of stay (ED LOS). METHODS: We used hierarchical linear modelling to compare ED LOS across jurisdictions, based on nationally reported data for 2017 to 2018. We also explored 36-month performance trends. Admitted and discharged patients were analyzed separately. RESULTS: With the exception of one high performer, no region's performance differed significantly from average for both admitted and discharged patients. The regions' levels of performance remained largely static throughout the study period. CONCLUSIONS: Results precluded any mixed-methods comparison of high- and low-performing regions. However, they converged with our qualitative findings, which suggested that most regions were pursuing similar flow-improvement strategies with limited effectiveness. Deeper changes may be required to address persistent misalignment between capacity and demand.

BackgroundSeveral of the many emergency department (ED) interventions intended to address the complex problem of (over)crowding are based on the principle of streaming: directing different groups of patients to different processes of care. Although the theoretical basis of streaming is robust, evidence on the effectiveness of these interventions remains inconclusive.MethodsThis qualitative research, grounded in the population-capacity-process model, sought to determine how, why and under what conditions streaming interventions may be effective. Data came from a broader study exploring patient flow strategies across Western Canada through in-depth interviews with managers at all levels. We undertook realist analysis of interview data from the 98 participants who discussed relevant interventions (fast-track/minor treatment areas, rapid assessment zones, diverse short-stay units), focusing on their explanations of initiatives’ perceived outcomes.ResultsEssential features of streaming interventions included separation of designated populations (population), provision of dedicated space and resources (capacity) and rapid cycle time (process). These features supported key mechanisms of impact: patients wait only for services they need; patient variability is reduced; lag time between steps is eliminated; and provider attitude change promotes prompt discharge. Conversely, reported failures usually involved neglect of one of these dimensions during intervention design and/or implementation. Participants also identified important contextual barriers to success, notably lack of outflow sites and demand outstripping capacity. Nonetheless, failure was more commonly attributed to intervention flaws than to context factors.ConclusionsWhile streaming interventions have the potential to reduce crowding, a theory-based intervention relies on its implementers’ adherence to the theory. Streaming interventions cannot be expected to yield the desired results if operationalised in a manner incongruent with the theory on which they are supposedly based.

Objective: This qualitative study explores teens' perspectives on facilitators and barriers to accessing school-based clinics, emphasizing the importance of youth self-report. Methods: We conducted in-person interviews with teens (N = 25) at 2 high schools that had school-based clinics in Winnipeg, Manitoba (Canada). We supplemented the interviews with a brief questionnaire administered to a sample of teens at both schools (N = 105). Data were iteratively coded and analyzed using NVivo. Results: Teens framed 5 clinic attributes that facilitated access: confidential, welcoming, judgment-free, validating and understanding, and fast/easy/convenient. Teens identified judgment from peers, fear and anxiety, hours/wait times, lack of privacy, and teens who gather at the clinic to socialize as factors that made the clinic hard to access or inhibited access entirely. Conclusions: School-based clinics were highly regarded by teens who used them. The most important factors underlying ease of use were assurance of confidentiality and a positive client-provider relationship that made teens feel safe and comfortable. However, considerable individual and structural barriers remain to ensuring the clinics are teen-friendly and accessible.

Primary care reform cannot succeed without substantive change on the part of providers. In Canada, these are mostly fee-for-service physicians, who tend to regard themselves as independent professionals and not under managerial sway. Hence, policymakers must balance two conflicting imperatives: ensuring the acceptability of renewal efforts to these physicians while enforcing their accountability for defined actions or outcomes. In its 2011–15 strategy to improve access to primary care, the province of Manitoba introduced several linked initiatives, each striving to blend acceptability- and accountability-promoting elements. Clearly delimited initiatives that directly promoted a specific observable behaviour (accountability) through financial or non-financial support (acceptability) were most successfully implemented. System-wide initiatives with complicated designs (notably a primary care network model that established formal partnership among clinics and regional health authorities) encountered greater difficulties in recruiting and sustaining physician participation. Although such initiatives offered physicians considerable decision-making latitude (acceptability), many physicians questioned the meaningfulness of opportunities for voice within a predetermined structure (accountability). Moreover, policymakers struggled to enhance the acceptability of such initiatives without sacrificing strong accountability mechanisms. Policymakers must carefully consider how acceptability and accountability elements may interact, and design them in such a way as to minimize the risk of mutual interference.

Purpose Healthcare policymakers and managers struggle to engage private physicians, who tend to view themselves as independent of the system, in new models of primary care. The purpose of this paper is to examine this issue through a social identity lens. Design/methodology/approach Through in-depth interviews with 33 decision-makers and 31 fee-for-service family physicians, supplemented by document review and participant observation, the authors studied a Canadian province’s early efforts to engage physicians in primary care renewal initiatives. Findings Recognizing that the existing physician–system relationship was generally distant, decision-makers invested effort in relationship-building. However, decision-makers’ rhetoric, as well as the design of their flagship initiative, evinced an attempt to proceed directly from interpersonal relationship-building to the establishment of formal intergroup partnership, with no intervening phase of supporting physicians’ group identity and empowering them to assume equal partnership. The invitation to partnership did not resonate with most physicians: many viewed it as an inauthentic offer from an out-group (“bureaucrats”) with discordant values; others interpreted partnership as a mere transactional exchange. Such perceptions posed barriers to physician participation in renewal activities. Practical implications The pursuit of a premature degree of intergroup closeness can be counterproductive, heightening physician resistance. Originality/value This study revealed that even a relatively subtle misalignment between a particular social identity management strategy and its intergroup context can have highly problematic ramifications. Findings advance the literature on social identity management and may facilitate the development of more effective engagement strategies.

We explored the particularities of the Healthy Baby Prenatal Benefit (HBPB), an unconditional cash transfer program for low-income pregnant women in Manitoba, Canada, which aims to connect recipients with prenatal care and community support programs, and help them access healthy foods during pregnancy. While previous studies have shown associations between HBPB and improved birth outcomes, here we focus on how the intervention contributed to positive outcomes. Using a case study design, we collected data from government and program documents and interviews with policy makers, academics, program staff, and recipients of HBPB. Key informants identified using evidence and aligning with government priorities as key facilitators to the implementation of HBPB. Program recipients described how HBPB helped them improve their nutrition, prepare for baby, and engage in self-care to moderate the effect of stressful life events. This study provides important contextualized evidence to support government decision making on healthy child development policies.

Background: The diabetes prevalence varies from 7%-20% among Cardiovascular Surgery (CS) patients. The patients with suboptimal glycaemic control are at a higher risk of postoperative morbidity and mortality. Objective: To explore feasibility and effectiveness of preoperative Diabetes Optimization Program (DOP). Design: Unblinded parallel group randomized controlled trial. Methods: Between 2013 to 2015, consecutive, consenting elective CS patients with HbA1C>7% were randomized to Standard of Care (SOC) group or to the DOP group. The DOP is a community-based diabetes education and optimization program. The SOC includes diabetes care from their Primary Care Physician (PCP). Outcome: The primary outcome was DOP feasibility. Secondarily, rate of change in HbA1C between the groups over the study period was evaluated. The DOP feasibility was assessed through the participants’ consent and adherence rate and generalized estimating equation was used for secondary outcomes analyses. Results: Thirty three out of 57 patients consented to participate in the study (consent rate 58%); 19 randomized to SOC group and 14 to the DOP group. The DOP group protocol adherence rate was 71%. There was no difference in the rate of HbA1C change between the groups over time (p=0.994). Conclusion: Providing preoperative diabetes optimization, through intervention such as DOP, for elective CS patients is feasible. Even so, its effectiveness reducing HbA1C appears comparable to the SOC in this feasibility trial. Perhaps, a shared diabetes care including the primary care provider and an integrated diabetes education and management program would resonate with the identified patients’ preference, with higher diabetes optimization efficacy.

Despite growing awareness of the benefits of interprofessional education and interprofessional collaboration (IPC), understanding how teams successfully transition to IPC is limited. Student exposure to interprofessional teams fosters the learners' integration and application of classroom-based interprofessional theory to practice. A further benefit might be reinforcing the value of IPC to members of the mentoring team and strengthening their IPC. The research question for this study was: Does training in IPC and clinical team facilitation and mentorship of pre-licensure learners during interprofessional clinical placements improve the mentoring teams' collaborative working relationships compared to control teams? Statistical analyses included repeated time analysis multivariate analysis of variance (MANOVA). Teams on four clinical units participated in the project. Impact on intervention teams pre- versus post-interprofessional clinical placement was modest with only the Cost of Team score of the Attitudes Towards Healthcare Team Scale improving relative to controls (p = 0.059) although reflective evaluations by intervention team members noted many perceived benefits of interprofessional clinical placements. The significantly higher group scores for control teams (geriatric and palliative care) on three of four subscales of the Assessment of Interprofessional Team Collaboration Scale underscore our need to better understand the unique features within geriatric and palliative care settings that foster superior IPC and to recognise that the transition to IPC likely requires a more diverse intervention than the interprofessional clinical placement experience implemented in this study. More recently, it is encouraging to see the development of innovative tools that use an evidence-based, multi-dimensional approach to support teams in their transition to IPC.

Background Prolonged emergency department (ED) stays make a disproportionate contribution to ED overcrowding, but the factors associated with longer stays have not been systematically reviewed. Objective To identify the patient characteristics associated with ED length of stay (LOS) and ascertain whether a predictive model existed. Methods This rapid systematic review included published, English-language studies that assessed at least one patient-level predictor of ED LOS (defined as a continuous or dichotomous variable) in an adult or mixed adult/paediatric population within an Organization for Economic Cooperation and Development country. Findings were synthesised narratively. Results We identified 35 relevant studies; most included multiple predictors, but none developed a predictive model. The factors most commonly associated with long ED LOS were need for admission (10 of 10 studies) and older age (which may be a proxy for age-related differences in health condition and severity; 9 of 10), receipt of diagnostic tests or consults (8 of 8) and ambulance arrival (4 of 5). Acuity often showed a bell-shaped relationship with LOS (ie, patients with moderate acuity stayed longest). Limitations Methodological choices made in the interests of rapidity limited the review9s comprehensiveness and depth. Conclusions Despite a sizeable body of literature, the available information is insufficiently precise to inform clinical or service-planning decisions; there is a need for a predictive model, including specific patient complaints. Deeper understanding of the determinants of ED LOS could help to identify patients and/or populations who require special intervention or resources to prevent a protracted stay.

Objective A number of predictive models have been developed to identify patients at risk of hospital readmission. Most of these have focused on readmission within 30 days of discharge. We used population-based health administrative data to develop a predictive model for hospital readmission within 12 months of discharge in Winnipeg, Canada. Methods This was a retrospective cohort study with derivation and validation data sets. Multivariable logistic regression analyses were performed and factors significantly associated with readmission were selected to construct a risk scoring tool. Results Several variables were identified that predicted readmission (i.e. older age, male, at least one hospital admission in the previous two years, an emergent (index) hospital admission, Charlson comorbidity score >0 and length of stay). Discrimination power was acceptable (C statistic =0.701). At a median risk score threshold, the sensitivity, specificity, positive and negative predictive values were 45.5%, 79%, 68.8% and 58.6%. Conclusions This predictive model demonstrated that hospital readmission within 12 months of discharge can be reasonably well predicted based on administrative data. It will help health care providers target interventions to prevent unnecessary hospital readmissions.

Timely access to orthopedic trauma surgery is essential for optimal outcomes. Regionalization of some types of surgery has shown positive effects on access, timeliness and outcomes. We investigated how the consolidation of orthopedic surgery in 1 Canadian health region affected patients requiring hip fracture surgery.We retrieved administrative data on all regional emergency department visits for lower-extremity injury and all linked inpatient stays from January 2010 through March 2013, identifying 1885 hip-fracture surgeries. Statistical process control and interrupted time series analysis controlling for demographics and comorbidities were used to assess impacts on access (receipt of surgery within 48-h benchmark) and surgical outcomes (complications, in-hospital/30-d mortality, length of stay).There was a significant increase in the proportion of patients receiving surgery within the benchmark. Complication rates did not change, but there appeared to be some decrease in mortality (significant at 6 mo). Length of stay increased at a hospital that experienced a major increase in patient volume, perhaps reflecting challenges associated with patient flow.Regionalization appeared to improve the timeliness of surgery and may have reduced mortality. The specific features of the present consolidation (including pre-existing interhospital performance variation and the introduction of daytime slates at the referral hospital) should be considered when interpreting the findings.En traumatologie, l'accès rapide à la chirurgie orthopédique est essentiel pour l'obtention de résultats optimaux. La régionalisation de certains types de chirurgie a eu des effets positifs sur l'accès aux soins, leur rapidité et leurs résultats. Nous avons vérifié l'effet qu'a eu la consolidation des soins chirurgicaux orthopédiques dans une région sanitaire canadienne sur les patients qui ont eu recours à la chirurgie pour une fracture de la hanche.Nous avons obtenu les données administratives concernant toutes les consultations dans les services d'urgence régionaux pour des blessures aux membres inférieurs et nous les avons corrélées avec les séjours hospitaliers de janvier 2010 à mars 2013. Nous avons ainsi recensé 1885 chirurgies pour fracture de la hanche. Nous avons utilisé la maîtrise statistique des procédés et le modèle chronologique interrompu et nous avons tenu compte des caractéristiques démographiques et des comorbidités pour évaluer les impacts sur l'accès aux interventions (attente limite de 48 h pour obtenir la chirurgie) et leurs résultats (complications, mortalité perhospitalière à 30 j et durée des séjours).On a noté une augmentation significative de la proportion de patients traités par chirurgie à l'intérieur des délais. Les taux de complications n'ont pas varié, mais il semble y avoir eu une certaine diminution de la mortalité (significative à 6 mois). La durée des séjours a augmenté dans un hôpital qui a connu un accroissement majeur de sa clientèle, témoignant peut-être de difficultés liées à l'afflux de patients.La régionalisation a semblé améliorer l'accès rapide à la chirurgie et pourrait avoir réduit la mortalité. Il faut tenir compte des caractéristiques spécifiques de la présente consolidation (y compris la variation préexistante du rendement interhospitalier et la création de listes de jour à l'hôpital de référence) avant d'interpréter ces conclusions.

Diverging international trends in fracture rates have been observed, with most reports showing that fracture rates have stabilized or decreased in North American and many European populations. We studied two complementary population-based historical cohorts from the Province of Manitoba, Canada (1996-2006) to determine whether declining osteoporotic fracture rates in Canada are attributable to trends in obesity, osteoporosis treatment, or bone mineral density (BMD). The Population Fracture Registry included women aged 50 years and older with major osteoporotic fractures, and was used to assess impact of changes in osteoporosis treatment. The BMD Registry included all women aged 50 years and older undergoing BMD tests, and was used to assess impact of changes in obesity and BMD. Model-based estimates of temporal changes in fracture rates (Fracture Registry) were calculated. Temporal changes in obesity and BMD and their association with fracture rates (BMD Registry) were estimated. In the Fracture Registry (n=27,341), fracture rates declined 1.6% per year (95% confidence interval [CI], 1.3% to 2.0%). Although osteoporosis treatment increased from 5.6% to 17.4%, the decline in fractures was independent of osteoporosis treatment. In the BMD Registry (n=36,587), obesity increased from 12.7% to 27.4%. Femoral neck BMD increased 0.52% per year and lumbar spine BMD increased 0.32% per year after covariate adjustment (p

Access to emergency or urgent surgery has become a serious concern across North America and beyond.1,2 With the evolution of surgical subspecialties there has been a relative decline in the availability of surgeons who provide emergency care, particularly after hours.3–5 Many health care organizations and systems have sought to cope with the problem by consolidating surgical services. There is growing international interest in the acute care surgery (ACS) model, in which designated resources, including the time of designated surgeons, are set aside for emergency and/or urgent surgery. The model may be implemented within a hospital, among hospitals (regionalization), or both. Past research has suggested that within-hospital ACS consolidation can reduce wait times for emergency surgery, and may sometimes improve patient outcomes.6–9 However, the literature is dominated by uncontrolled pre–post studies, which cannot rule out secular trends and other confounders, such as adoption of new surgical practices, as explanations for the observed results. Very few studies have evaluated ACS consolidation on a regional level involving multiple institutions. One study found that mortality and length of stay (LOS) decreased over time within a regionalized ACS service, but it did not compare these rates with those observed before regionalization.10 Another study found no significant change in mortality when high-acuity surgery (including many procedures outside the scope of emergency general surgery) was regionalized; there was an ongoing decline in LOS, but this decline had begun before regionalization.11 To our knowledge, no study has examined wait times at the pan-regional level, taking into account how transfers affect the patient journey. As the ACS model becomes increasingly widespread, there is an urgent need for further evidence on the impacts of ACS consolidation, especially regional consolidation. The Winnipeg Regional Health Authority (WRHA), an urban health region in Western Canada (catchment population 1.2 million), implemented the ACS model to stabilize and sustain call schedules. The region had been unable to fill the gaps through recruitment because there was neither the volume of work nor the resources to support new recruits. This 6-hospital system consolidated emergency general surgery at 3 referral sites, each of which now includes a designated ACS team. A clinical lead or service chief (funded position) is responsible for addressing administrative needs and maintaining call schedules. One surgeon covers the day shift (7:30–16:30) from Monday to Sunday, providing continuity throughout the week. The night shift (16:30–7:30, home-call) rotates among participating surgeons on a daily basis. Remuneration is a blended model of a day and night stipend and fee-for-service. A hospitalist was added to the ACS team at the nonteaching site; hospitalists and/or physician assistants play a smaller role at the teaching sites. The referral hospitals have added daytime ACS slates, but not dedicated emergency operating rooms (ORs). To offset the increased volume of ACS patients at the referral hospitals, both elective general surgery and orthopedic surgery cases have been relocated to the nonreferral hospitals. One hospital became a referral centre in April 2008, another in December 2008. (A third offered ACS throughout the study period but did not invite additional referrals.) The consolidation succeeded in filling call schedules and ensuring reliable access to an on-call surgeon. This study sought to determine the impact of consolidation on patient access and outcomes.

BACKGROUND Antipsychotic medications have been widely used in elderly patients for treatment of a variety of diagnoses. The aim of our study was to compare the incidence of cerebrovascular and cardiac events as well as mortality in elderly persons treated with second-generation antipsychotics (SGAs) with that of elderly persons treated with conventional first-generation agents (FGAs) in the province of Manitoba. METHODS A population-based retrospective cohort study of all residents of Manitoba aged 65 and older, who were dispensed antipsychotic medications for the first time during the period from April 1, 2000, to March 31, 2007, was conducted using Manitoba Health administrative databases. Cox proportional hazards models were used to compare risks of adverse events in FGA and SGA users. RESULTS After controlling for potential confounders (demographics, comorbidity, and medication use), SGA use was not associated with a significantly greater risk of cerebrovascular events, cardiac arrhythmia, and congestive heart failure compared to FGA use (adjusted hazard ratios [HR], respectively: 1.136; 95% CI, 0.961-1.344; 0.865; 95% CI, 0.336-2.232; 1.127, 95% CI, 0.902-1.409). Second-generation antipsychotics users were found to be at a lower risk of mortality (adjusted HR, 0.683; 95% CI, 0.577-0.809), but at a higher risk of myocardial infarction (adjusted HR, 1.614; 95% CI, 1.024-2.543) compared to FGA users. CONCLUSIONS Among elderly users of antipsychotic medications, the risk of cerebrovascular events, cardiac arrhythmia, and congestive heart failure was similar in FGA and SGA users. Whereas SGA users were at a higher risk of nonfatal myocardial infarction, the use of FGAs was associated with an increased risk of death. Antipsychotic pharmacotherapy in older persons needs to be chosen with careful consideration of all risks and benefits.

High direct incremental healthcare costs post-fracture are seen in the first year, but total costs from a third-party healthcare payer perspective eventually fall below pre-fracture levels. We attribute this to higher mortality among fracture cases who are already the heaviest users of healthcare (“healthy survivor bias”). Economic analyses that do not account for the possibility of a long-term reduction in direct healthcare costs in the post-fracture population may systematically overestimate the total economic burden of fracture. High healthcare costs in the first 1–2 years after an osteoporotic fracture are well recognized, but long-term costs are uncertain. We evaluated incremental costs of non-traumatic fractures up to 5 years from a third-party healthcare payer perspective. A total of 16,198 incident fracture cases and 48,594 matched non-fracture controls were identified in the province of Manitoba, Canada (1997–2002). We calculated the difference in median direct healthcare costs for the year pre-fracture and 5 years post-fracture expressed in 2009 Canadian dollars with adjustment for expected age-related healthcare cost increases. Incremental median costs for a hip fracture were highest in the first year ($25,306 in women, $21,396 in men), remaining above pre-fracture baseline to 5 years in women but falling below pre-fracture costs by 5 years in men. In those who survived 5 years following a hip fracture, incremental costs remained above pre-fracture costs at 5 years ($12,670 in women, $7,933 in men). Incremental costs were consistently increased for 5 years after spine fracture in women. Total incremental healthcare costs for all incident fractures combined showed a large increase over pre-fracture costs in the first year ($137 million in women, $57 million in men), but fell below pre-fracture costs within 3–4 years. Elevated total healthcare costs were seen at year 5 in women after wrist, humerus and spine fractures, but these were somewhat offset by decreases in total healthcare costs for other fractures. High direct healthcare costs post-fracture are seen in the first year, but total costs eventually fall below pre-fracture levels. Among those who survive 5 years following a fracture, healthcare costs remain above pre-fracture levels.

Based on a population age 50+, significant excess costs relative to matched controls exist for patients with incident fractures that are similar in relative magnitude to other chronic diseases such as stroke or heart disease. Prevalent fractures also have significant excess costs that are similar in relative magnitude to asthma/chronic obstructive pulmonary disease. Cost of illness studies for osteoporosis that only include incident fractures may ignore the long-term cost of prevalent fractures and primary preventive care. We estimated the excess costs for patients with incident fractures, prevalent fractures, and nonfracture osteoporosis relative to matched controls. Men and women age 50+ were selected from administrative records in the province of Manitoba, Canada for the fiscal year 2007–2008. Three types of cases were identified: (1) patients with incident fractures in the current year (2007–2008), (2) patients with prevalent fractures in previous years (1995–2007), and (3) nonfracture osteoporosis patients identified by specific pharmacotherapy or low bone mineral density. Excess resource utilization and costs were estimated by subtracting control means from case means. Seventy-three percent of provincial population age 50+ (52 % of all men and 91 % of all women) were included (121,937 cases, 162,171 controls). There were 3,776 cases with incident fracture (1,273 men and 2,503 women), 43,406 cases with prevalent fractures (15,784 men and 27,622 women) and 74,755 nonfracture osteoporosis cases (7,705 men and 67,050 women). All incident fractures had significant excess costs. Incident hip fractures had the highest excess cost: men $44,963 (95 % CI: $38,498–51,428) and women $45,715 (95 % CI: $36,998–54,433). Prevalent fractures (other than miscellaneous or wrist fractures) also had significant excess costs. No significant excess costs existed for nonfracture osteoporosis. Significant excess costs exist for patients with incident fractures and with prevalent hip, vertebral, humerus, multiple, and traumatic fractures. Ignoring prevalent fractures underestimate the true cost of osteoporosis.

Our objective was to describe changes in glucocorticoid-induced osteoporosis (GIOP) preventive care from 1998-2008 including rates and correlates of bone mineral density (BMD) testing and osteoporosis treatment in new long-term glucocorticoid initiations.A population-based study of adults aged 20 yr or older in Manitoba, Canada, was conducted using linked healthcare databases. Subjects with new long-term (≥90 d) systemic glucocorticoid initiations were identified within each fiscal year. High-quality GIOP preventive care was defined by the composite of BMD testing or osteoporosis treatment within 6 months of starting glucocorticoids. For each initiation, we identified sociodemographic and clinical characteristics, prednisone dose equivalents, and prescriber specialty. Multivariable Poisson regression models were used to calculate adjusted incidence rate ratios (aIRR).We studied 17,736 new long-term glucocorticoid initiations; one third were at least 10 mg prednisone daily, and most (64%) were prescribed by general practitioners. Overall, 6-month rates of BMD testing were 6%, osteoporosis treatment 22%, and the composite of testing or treatment 25%. From 1998-2008, there were modest increases in BMD testing (from 4 to 6%), osteoporosis treatment (from 15 to 24%), and testing or treatment [from 17 to 27%; aIRR = 1.51; 95% confidence interval (CI) = 1.40-1.63]. High-quality GIOP preventive care varied significantly by age (16% for those50 yr vs. 27% for those ≥70 yr; aIRR = 0.57; 95% CI = 0.52-0.63), sex (13% for men vs. 34% for women; aIRR = 0.40; 95% CI = 0.37-0.43), and prescriber (23% general practice vs. 44% rheumatology; aIRR = 0.56; 95% CI = 0.52-0.60).Quality of GIOP preventive care has improved but remains suboptimal with only one quarter of those starting long-term glucocorticoids receiving BMD testing or osteoporosis treatment. Interventions to improve GIOP prevention, especially targeting younger patients, men, and nonspecialists, are needed.

Despite targeted attempts to reduce post-fracture care gaps, we hypothesized that a larger care gap would be experienced by First Nations compared to non-First Nations people. First Nations peoples were eight times less likely to receive post-fracture care compared to non-First Nations peoples, representing a clinically significant ethnic difference in post-fracture care. First Nations peoples are the largest group of aboriginal (indigenous or native) peoples in Canada. Canadian First Nations peoples have a greater risk of fracture compared to non-First Nations peoples. We hypothesized that ethnicity might be associated with a larger gap in post-fracture care. Non-traumatic major osteoporotic fractures for First Nations and non-First Nations peoples aged ≥50 years were identified from a population-based data repository for Manitoba, Canada between April 1996 and March 2002. Logistic regression analysis was used to examine the probability of receiving a BMD test, a diagnosis of osteoporosis, or beginning an osteoporosis-related drug in the 6 months post-fracture. A total of 11,234 major osteoporotic fractures were identified; 502 occurred in First Nations peoples. After adjustment for confounding covariates, First Nations peoples were less likely to receive a BMD test [odds ratio (OR) 0.1, 95% confidence interval (CI), 0.0–0.5], osteoporosis-related drug treatment (OR, 0.5; 95% CI, 0.3–0.7), or a diagnosis of osteoporosis (OR, 0.5; 95% CI, 0.3–0.7) following a fracture compared to non-First Nations peoples. Females were more likely to have a BMD test (OR, 5.0; 95% CI, 2.6–9.3), to be diagnosed with osteoporosis (OR, 1.7; 95% CI, 1.5–2.0), and to begin drug treatment (OR, 4.1; 95% CI, 2.7–6.4) compared to males. An ethnicity difference in post-fracture care was observed. Further work is needed to elucidate underlying mechanisms for this difference and to determine whether failure to initiate treatment originates with the medical practitioner, the patient, or a combination of both. It is imperative that all residents of Manitoba receive efficacious and equal care post-fracture, regardless of ethnicity.

Institutionalization after hip fracture occurs in at least 30% of patients in the year following hospital discharge. We demonstrate that the risk of transfer to a long-term care facility, after adjustment for age and burden of co-morbidity, is also increased following fractures at other osteoporotic sites in men and women. For most fractures, men are at greater risk than women. High institutionalization rates have been documented following non-traumatic hip fractures; however, there is lack of knowledge regarding the frequency of transfer to long-term care institutions of patients who sustain such fractures at other anatomical sites. Using the comprehensive health care databases of the province of Manitoba, Canada, we performed a retrospective matched cohort study of community-dwelling men and women aged 50 years and older who sustained an incident non-traumatic fracture between April 1, 1986, and March 31, 2006. Using Cox proportional hazards regression analysis, we estimated the sex-specific relative risk of transfers to long-term care institutions in the year following fracture at osteoporotic sites. We identified a total of 70,264 individuals with incident fractures (70.0% in women) among whom 3,996 new admissions to long-term care institutions were documented in the year following the index fracture. New admissions increased over time (p

Cost-of-illness (COI) analysis is used to evaluate the economic burden of illness in terms of health care resource (HCR) consumption. We used the Population Health Research Data Repository for Manitoba, Canada, to identify HCR costs associated with 33,887 fracture cases (22,953 women and 10,934 men) aged 50 years and older that occurred over a 10-year period (1996–2006) and 101,661 matched control individuals (68,859 women and 32,802 men). Costs (in 2006 Canadian dollars) were estimated for the year before and after fracture, and the change (incremental cost) was modeled using quantile regression analysis to adjust for baseline covariates and to study temporal trends. The greatest total incremental costs were associated with hip fractures (median $16,171 in women and $13,111 for men), followed by spine fractures ($8,345 in women and $6,267 in men). The lowest costs were associated with wrist fractures ($663 in women and $764 in men). Costs for all fracture types were greater in older individuals (p

We examined trends in fracture rates over 20 years in the Province of Manitoba, Canada. Hip fractures, major low-trauma fractures, and high-trauma fractures declined significantly from 1986 to 2006.Secular decreases in hip fracture rates have been reported in some countries. Whether this phenomenon applies to other fracture sites is not well described.We used 20 years of data from the Population Health Research Data Repository for the Province of Manitoba, Canada. Age-adjusted fracture rates were calculated for men and women age 50 years and older 1986-2006 according to fracture site and mechanism (presence/absence of external injury codes). Generalized linear models with generalized estimating equations were used to derive adjusted annual rates and test for linear change in men and women.Major low-trauma fractures (hip, forearm, spine, and humerus) showed a significant annual linear decline in women (-1.2% [95% CI, -0.7% to -1.8%]) and in men (-0.4% [95% CI, -0.7% to -0.2%]). Hip fracture showed a significant annual decline for both sexes, while forearm and humerus fractures showed a significant decline only in women. The only fracture category that did not show a significant annual decline in either sex was the spine. The observed annual reduction in high-trauma fractures was even larger and did not show a sex difference (-1.8% [95% CI, -2.8% to -0.7%]).We observed a decrease in both low-trauma and high-trauma fracture rates over the study period. This decline was apparent in years prior to widespread osteoporosis testing or availability of modern pharmacotherapy.

To determine if higher bone mineral density (BMD) is a risk factor for breast cancer in women age 50 years and older. 37,860 women ≥50-year old with no previous breast cancer diagnosis had baseline BMD assessment between January 1999 and December 2007. Cox proportional hazards models were created for time to a new breast cancer as a function of lumbar spine or femoral neck BMD quartile (1st = lowest as reference) with adjustment for relevant covariates. A secondary analysis was performed to look for an association with estrogen receptor-positive (ER-positive) breast cancers. 794 invasive and in situ breast cancers (484 ER-positive) occurred with a median follow up of 5.4 years. Increased breast cancer risk was seen for the 3rd and 4th quartiles of lumbar spine BMD with hazard ratios (HRs) of 1.26 (95% CI, 1.01–1.58) and 1.45 (95% CI, 1.16–1.81), respectively and for the 3rd quartile of femoral neck BMD with a HR of 1.33 (95% CI, 1.07–1.64). A test for linear trend showed that lumbar spine BMD (P < 0.001) and femoral neck BMD (P = 0.04) were associated with increased risk. Higher lumbar spine BMD was also associated with increased risk of ER-positive breast cancer with HR of 1.45 (95% CI, 1.08–1.94), and 1.68 (95% CI, 1.24–2.27) for women in the 2nd and 4th quartiles, respectively. A test for linear trend showed lumbar spine BMD was associated with increasing risk of ER-positive breast cancer (P = 0.003). Increased ER-positive breast cancer risk was seen for the 3rd quartile of femoral neck BMD with a HR of 1.43 (95% CI, 1.08–1.89). Higher lumbar spine and femoral neck BMD are associated with higher risk of breast cancer in women ≥50-year old. Lumbar spine and femoral neck BMD are associated with increased risk of ER-positive breast cancer.

Objectives The aim was to construct and validate algorithms for osteoporosis case ascertainment from administrative databases and to estimate the population prevalence of osteoporosis for these algorithms. Study Design and Setting Artificial neural networks, classification trees, and logistic regression were applied to hospital, physician, and pharmacy data from Manitoba, Canada. Discriminative performance and calibration (i.e., error) were compared for algorithms defined from different sets of diagnosis, prescription drug, comorbidity, and demographic variables. Algorithms were validated against a regional bone mineral density testing program. Results Discriminative performance and calibration were poorer and sensitivity was generally lower for algorithms based on diagnosis codes alone than for algorithms based on an expanded set of data features that included osteoporosis prescriptions and age. Validation measures were similar for neural networks and classification trees, but prevalence estimates were lower for the former model. Conclusion Multiple features of administrative data generally resulted in improved sensitivity of osteoporosis case-detection algorithm without loss of specificity. However, prevalence estimates using an expanded set of features were still slightly lower than estimates from a population-based study with primary data collection. The classification methods developed in this study can be extended to other chronic diseases for which there may be multiple markers in administrative data.

Purpose Although tamoxifen has been shown to increase bone mineral density in clinical trials, it is less clear whether this significantly affects fracture rates. Even fewer data are available on skeletal outcomes when tamoxifen is used outside of the context of a clinical trial. A population-based case-control study was undertaken to determine whether tamoxifen use is associated with osteoporotic fractures in routine clinical practice. Patients and Methods Population-based administrative data for the Province of Manitoba, Canada, were examined for tamoxifen use and nontraumatic fracture codes in women 50 years of age or older. Women with osteoporotic fractures (vertebral, wrist or hip; n = 11,096) from 1996 to 2004 were each compared with three controls without fracture, matched for age, ethnicity, and comorbidity (n = 33,209). Tamoxifen use was classified as never, past use, or current use. Results Lower osteoporotic fracture rates were associated with current tamoxifen use (univariate odds ratio [OR] = 0.68; 95% CI, 0.55 to 0.84). After controlling for demographic and medical diagnoses known to affect fracture risk, current use was associated with a significantly reduced overall osteoporotic fracture risk (adjusted OR = 0.68; 95% CI, 0.55 to 0.88) and of hip fractures (adjusted OR = 0.47; 95% CI, 0.28 to 0.77). Neither recent nor remote past tamoxifen use was associated with reduced osteoporotic fracture risk. Breast cancer was not independently associated with osteoporotic fractures (adjusted OR = 0.95; 95% CI, 0.81 to 1.12). Conclusion In a population-based case-control study, current tamoxifen use was associated with a substantial reduction in osteoporotic fractures.

Selective serotonin reuptake inhibitors (SSRIs), benzodiazepines, and antipsychotics have each been associated with an increased risk of fracture in older individuals. The aim of this study was to better define the magnitude of fracture risk with psychotropic medications and to determine whether a dose-effect relationship exists.Population-based administrative databases were used to examine psychotropic medication exposure and fractures in persons aged 50 years and older in Manitoba between 1996 and 2004. Persons with osteoporotic fractures (vertebral, wrist, or hip [n = 15,792]) were compared with controls (3 controls for each case matched for age, sex, ethnicity, and comorbidity [n = 47,289]). Medications examined included antidepressants (SSRIs vs other monoamines), antipsychotics, lithium, and benzodiazepines.Selective serotonin reuptake inhibitors were associated with the highest adjusted odds of osteoporotic fractures (odds ratio [OR] = 1.45; 95% confidence interval [CI], 1.32-1.59). Other monoamine antidepressants (OR = 1.15; 95% CI, 1.07-1.24) and benzodiazepines (OR = 1.10; 95% CI, 1.04-1.16) were also associated with greater fracture risk, although the relationship was weaker. Lithium was associated with lower fracture risk (OR = 0.63; 95% CI, 0.43-0.93), whereas the relationship with antipsychotics was not significant in the models that adjusted for diagnoses. A dose-effect relationship was seen with SSRIs and benzodiazepines.This study provides novel insight into the relationship between fractures and psychotropic medications in the elderly. Selective serotonin reuptake inhibitors seem to have a greater risk than other psychotropic classes, and higher doses may further increase that risk. Lithium seems to be protective against fractures.

Summary Background Aspirin use is with an increased risk of upper gastrointestinal complications (UGICs). Proton pump inhibitors (PPIs) decrease the risk of UGICs among aspirin users. The distribution of risk factors for UGIC and PPI utilization among aspirin users remains uncharacterized. Aim To determine the prevalence and predictors of PPI use in high-risk aspirin users. Methods Using questionnaires and administrative records, we collected information on aspirin and PPI utilization and risk factors for UGICs from a stratified random sample of subjects with established cardiovascular disease. We calculated the proportion of aspirin users with UGIC risk factors and determined the prevalence of PPI use among aspirin users with risk factors. Regression analysis was used to determine predictors of PPI use among aspirin users. Results Overall response rate was 35%, of whom 86% were regular aspirin users. Seventy-one per cent of aspirin users had at least one risk factor (in addition to cardiac disease) for the development of UGICs. Although a history of UGIC was predictive of PPI use, 44% of aspirin users with a prior history of UGICs did not receive a concomitant PPI, and only 23% of subjects with additional UGIC risk factors were prescribed a PPI. Conclusion There is a high prevalence of UGIC risk factors among aspirin users, and many are not prescribed PPIs as a gastroprotective strategy.

Dans cette étude, on a estimé la concordance entre les données des populations administratives et les données des populations d'enquête lorsqu'il s'agit de déterminer les cas d'arthrite, d'asthme, de diabète, de cardiopathie, d'hypertension et d'accident vasculaire cérébral. Des définitions de cas de maladies chroniques, qui variaient de par la source des données, le nombre d'années de données et les codes de diagnostic et de médicaments prescrits employés, ont été élaborées à partir des données administratives du Manitoba. Un recoupement a ensuite été fait entre ces données et celles tirées de l'Enquête sur la santé dans les collectivités canadiennes. La concordance entre ces deux sources de données, estimée par le coefficient κ, a été calculée pour chaque définition de cas, et les différences ont été testées. Les variables socio-démographiques et les variables liées à la comorbidité en lien avec la concordance ont été testées au moyen d'une régression logistique pondérée. C'est pour le diabète et l'hypertension que l'on a observé la concordance la plus élevée, et pour l'arthrite que l'on a observé la concordance la plus faible. Les éléments de la définition de cas qui contribuaient à la concordance la plus élevée entre les deux sources de données des populations variaient selon les maladies chroniques. Il est probable que les données administratives et les données d'enquête concordent peu dans le cas des affections qui sont difficiles à diagnostiquer, mais cette concordance est aussi influencée par les caractéristiques socio-démographiques et l'état de santé des individus. Toute définition de cas de maladie chronique fondée sur des données administratives devrait être accompagnée d'une justification du choix de chacun de ses éléments.

This study estimated agreement between population-based administrative and survey data for ascertaining cases of arthritis, asthma, diabetes, heart disease, hypertension and stroke. Chronic disease case definitions that varied by data source, number of years and number of diagnosis or prescription drug codes were constructed from Manitoba's administrative data. These data were linked to the Canadian Community Health Survey. Agreement between the two data sources, estimated by the κ coefficient, was calculated for each case definition, and differences were tested. Socio-demographic and comorbidity variables associated with agreement were tested using weighted logistic regression. Agreement was strongest for diabetes and hypertension and lowest for arthritis. The case definition elements that contributed to the highest agreement between the two population-based data sources varied across the chronic diseases. Low agreement between administrative and survey data is likely to occur for conditions that are difficult to diagnose, but will be mediated by individual socio-demographic and health status characteristics. Construction of a chronic disease case definition from administrative data should be accompanied by a justification for the choice of each of its elements.

The use of double-dose proton pump inhibitors (PPIs) for initial management of upper gastrointestinal (UGI) symptoms is common, though little evidence supports this practice. The aim of this study was to determine whether initial prescription of double-dose PPIs in outpatients with UGI complaints is superior to standard-dose PPIs prescription in reducing resource utilization. Patients in the Manitoba Health database prescribed double-dose PPIs were matched to individuals prescribed PPIs at standard doses. UGI-related inpatient and outpatient resource utilization and prescription drug usage were compared for both groups over the following year. Cases and controls had a similar duration of PPI use, and no difference in either UGI-related outpatient visits or UGI-related hospital admissions. Twelve-month UGI related costs were higher for double-dose PPI users. Initial therapy with double-dose PPIs does not reduce GI-related resource utilization. Prescription of double-dose PPIs as initial therapy for upper gastrointestinal symptoms should be discouraged.

Clinical risk factor assessment can be used to enhance fracture risk estimation based upon bone densitometry alone. Population- and age-specific risk factor prevalence data are required for the construction of these risk models. Our objective was to derive population-based prevalence estimates of specific clinical risk factors for postmenopausal women resident in the Province of Manitoba, Canada. A random sample of 40,300 women age 50 or older identified from the provincial health plan was mailed a validated self-report risk factor survey. The response rate was 8747 (21.7%) with a final study population of 8027 women after exclusions. The individual prevalence for each clinical risk factor ranged from 5.8% for hyperthyroidism to 33.0% for a fall in the preceding 12 months. Most point prevalence estimates were similar to other large cohort studies, though the prevalences of inactivity and poor mobility were higher than expected while height at age 25 and the prevalence of any fracture after age 50 were lower than expected. Most of the respondents (86.9%) had at least one non-age clinical risk factor, 60.6% had two or more, and 33.5% had three or more. Age affected risk factor prevalence, and older age was associated with a higher rate of multiple risk factors. The availability of age-specific risk factor prevalence rates in this population may allow for more accurate fracture risk modeling.

Introduction Childhood vaccination rates in Manitoba populations with low socioeconomic status (SES) fall significantly below the provincial average. This study examined the impact of a pay-for-performance (P4P) program called the Physician Integrated Network (PIN) on health inequity in childhood vaccination rates. Methods The study used administrative data housed at the Manitoba Centre for Health Policy. We included all children born in Manitoba between 2003 and 2010 who were patients at PIN clinics receiving P4P funding matched with controls at non-participating clinics. We examined the rate of completion of the childhood primary vaccination series by age 2 across income quintiles (Q1–Q5). We estimated the distribution of income using the Gini coefficient, and calculated concentration indices for vaccination to determine whether the P4P program altered SES-related differences in vaccination completion. We compared these measures between study cohorts before and after implementation of the P4P program, and over the course of the P4P program in each cohort. Results The PIN cohort included 6,185 children. Rates of vaccination completion at baseline were between 0.53 (Q1) and 0.69 (Q5). Inequality in income distribution was present at baseline and at study end in PIN and control cohorts. SES-related inequity in vaccination completion worsened in non-PIN clinics (difference in concentration index 0.037; 95 % CI 0.013, 0.060), but remained constant in P4P-funded clinics (difference in concentration index 0.006; 95 % CI 0.008, 0.021). Conclusions The P4P program had a limited impact on vaccination rates and did not address health inequity.

Background Hospital readmission is costly and potentially avoidable. The concept of virtual wards as a new model of care is intended to reduce hospital readmissions by providing short-term transitional care to high-risk and complex patients in the community. In order to provide information regarding the development of virtual wards in the Winnipeg Health Region, Canada, this study used spatial statistics to identify geographic variations of hospital readmissions in 25 neighborhood clusters. Methods The data were obtained from the Population Health Research Data Repository housed at the Manitoba Centre for Health Policy. We used a Bayesian Disease Mapping approach which applied Markov chain Monte Carlo (MCMC) for cluster detection. Results Between 2005/06 and 2008/09, 123,842 patients were hospitalized in all Winnipeg hospitals. Of these, 41,551 (33%) were readmitted to hospital in the year following discharge. Most of these readmitted patients (89.4%) had 1–2 readmissions, while 11.6% of readmitted patients had more than 2 readmissions after initial discharge. The smoothed age- and sex- adjusted relative risk rates of hospital readmission in 25 Winnipeg neighborhood clusters ranged between 0.73 and 1.27. We found that there were spatial cluster variations of hospital readmission across the Winnipeg Health Region. Seven neighborhood clusters are more likely to be significant potential clusters for hospital readmissions (p

Introduction Frailty is a geriatric syndrome characterised by reductions in muscle mass, strength, endurance and activity level. The frailty syndrome, prevalent in 25–50% of patients undergoing cardiac surgery, is associated with increased rates of mortality and major morbidity as well as function decline postoperatively. This trial will compare a preoperative, interdisciplinary exercise and health promotion intervention to current standard of care (StanC) for elective coronary artery bypass and valvular surgery patients for the purpose of determining if the intervention improves 3-month and 12-month clinical outcomes among a population of frail patients waiting for elective cardiac surgery. Methods and analysis This is a multicentre, randomised, open end point, controlled trial using assessor blinding and intent-to-treat analysis. Two-hundred and forty-four elective cardiac surgical patients will be recruited and randomised to receive either StanC or StanC plus an 8-week exercise and education intervention at a certified medical fitness facility. Patients will attend two weekly sessions and aerobic exercise will be prescribed at 40–60% of heart rate reserve. Data collection will occur at baseline, 1–2 weeks preoperatively, and at 3 and 12 months postoperatively. The primary outcome of the trial will be the proportion of patients requiring a hospital length of stay greater than 7 days. Potential impact of study The healthcare team is faced with an increasingly complex older adult patient population. As such, this trial aims to provide novel evidence supporting a health intervention to ensure that frail, older adult patients thrive after undergoing cardiac surgery. Ethics and dissemination Trial results will be published in peer-reviewed journals, and presented at national and international scientific meetings. The University of Manitoba Health Research Ethics Board has approved the study protocol V.1.3, dated 11 August 2014 (H2014:208). Trial registration number The trial has been registered on ClinicalTrials.gov, a registry and results database of privately and publicly funded clinical studies (NCT02219815).

Efforts to develop global methods for absolute fracture risk prediction are currently limited by uncertainty over the validity of these models in non-White populations. Aboriginal Canadians have higher fractures rates than non-Aboriginals. This analysis examined the interaction of ethnicity with diabetes mellitus, disease comorbidity and substance abuse as possible explanatory variables.A retrospective, population-based matched cohort study of fracture rates was performed using Manitoba administrative health data (1984-2003). The study cohort consisted of 27,952 registered Aboriginal adults (aged 20 years or older) and 83,856 non-Aboriginal controls (matched three to one for year of birth and gender). Diabetes mellitus, number of ambulatory disease groups (ADGs), substance abuse and incident fractures were based upon validated definitions. Poisson regression analyses of fracture rates modelled the explanatory variables as main effects and two-way interactions with ethnicity.Osteoporotic fracture rates were approximately twofold higher in the Aboriginal cohort (p0.0001). Diabetes, greater number of ADGs and substance abuse were all more common in the Aboriginal cohort (all p0.0001). These factors were associated with increased fracture rates (all p0.0001) and significantly higher population attributable risk percent in the Aboriginal cohort (all p0.0001). However, no significant interactions between the risk factors and ethnicity were observed (p0.1 for all interaction effects).Greater prevalence of diabetes, comorbidity and substance abuse contributes to higher rates of fracture. The relative risk of fracture for these factors is similar for both Aboriginal and non-Aboriginals despite large differences in absolute fracture risk and risk factor prevalence.

Prescription claims data have been used to estimate refill medication adherence through calculations of cumulative medication acquisition (CMA) and cumulative medication gap (CMG) values. Few studies have assessed the validity of these calculated rates.We sought to assess the validity of CMA and CMG calculated from the Manitoba prescription claims database (DPIN) against pill count medication adherence, targeting overall medications and angiotensin converting enzyme inhibitors (ACEIs).Using a survey of a convenience sample of subjects recruited through community pharmacies, subjects who were eligible for study (ie, 65 years or older, noninstitutionalized, taking 2 or more "discrete" prescribed medications, including an ACEI, and willing to provide informed consent) were studied. Pill counts were conducted on all prescribed medicines during 3 home interviews over the course of 4 months. Ten months of DPIN data also were collected on each subject.The concordance between CMA and pill count for overall medications was 411/522 (79%) and for ACEIs was 89/101 (88%) with no systematic differences (McNemar's P = 0.68 and P = 0.097, respectively). CMG and pill count showed even better concordance of 438/514 (85%) for overall medications and 96/101 (95%) for ACEIs, although systematic differences were noted for overall medications (McNemar's P = 0.0012) but not for ACEIs (McNemar's P = 0.500). Spearman's rank correlations were weak for all comparisons.The high concordance between prescription claims database and pill counts suggested that the rate with which patients refill their medications usually is consistent with the rate they consume them. DPIN is not accurate for nondiscrete dosage forms or medications prescribed for "as-required" use.

ObjectivesWe sought to determine whether lung uptake of technetium-99m (99mTc)-based myocardial perfusion tracers predicts cardiac events.BackgroundIncreased lung uptake of thallium-201 during myocardial perfusion scintigraphy can predict important clinical outcomes. It is unclear whether lung uptake of 99mTc-based myocardial perfusion tracers can be used in a similar way.MethodsStress lung-to-heart ratio (sLHR) was determined in 718 patients undergoing 99mTc-sestamibi single-photon emission computed tomographic stress imaging. The primary outcome was acute myocardial infarction or death.ResultsDuring a mean follow-up of 5.6 years, a primary end point occurred in 114 patients (16%). The sLHR was significantly greater in those with an adverse outcome (p < 0.00001). The likelihood of an adverse outcome increased by a factor of 1.5 (95% confidence interval 1.2 to 1.7) for each standard deviation increase in sLHR after adjustment for all other variables. The sLHR provided a small but significant improvement in risk stratification when added to clinical, stress test, perfusion, and left ventricular volume information (global chi-square 168.6 vs. 150.7, p < 0.00001).ConclusionsStress LHR is an adjunctive prognostic measure in patients with known or suspected coronary artery disease.

En août 2003, un sondage national de 485 (taux de réponse de 56 %) gestionnaires et dirigeants de services de santé canadiens ont dressé l'ordre d'importance de 31 compétences de gestion et évalué leur maîtrise de ces compétences. Si les répondants ont semblé d'accord sur l'importance des 31 compétences, nous avons constaté un écart entre l'importance perçue et le niveau de maîtrise admis par les répondants, écart sur lequel le Collège canadien des directeurs de services de santé devrait se pencher.

Background: Canadian First Nations people have unique cultural, socioeconomic and health-related factors that may affect fracture rates. We sought to determine the overall and site-specific fracture rates of First Nations people compared with non-First Nations people. Methods: We studied fracture rates among First Nations people aged 20 years and older ( n = 32 692) using the Manitoba administrative health database (1987–1999). We used federal and provincial sources to identify ethnicity, and we randomly matched each First Nations person with 3 people of the same sex and year of birth who did not meet this definition of First Nations ethnicity ( n = 98 076). We used a provincial database of hospital separations and physician billing claims to calculate standardized incidence ratios (SIRs) and 95% confidence intervals (CIs) for each fracture type based on a 5-year age strata. Results: First Nations people had significantly higher rates of any fracture (age- and sex-adjusted SIR 2.23, 95% CI 2.18–2.29). Hip fractures (SIR 1.88, 95% CI 1.61–2.14), wrist fractures (SIR 3.01, 95% CI 2.63–3.42) and spine fractures (SIR 1.93, 95% CI 1.79–2.20) occurred predominantly in older people and women. In contrast, craniofacial fractures (SIR 5.07, 95% CI 4.74–5.42) were predominant in men and younger adults. Interpretation: First Nations people are a previously unidentified group at high risk for fracture.

Background: Antimicrobial drug resistance continues to be a concern. Inappropriate use of antimicrobial agents is a well-documented contributory factor in the development of resistance. Canadian publicly funded drug insurance (pharmacare) programs have various approaches to reimbursement for antimicrobial drugs and promoting the appropriate prescribing of these agents. Objective: The objective of this study was to examine changes in antimicrobial use over a 3-year period in relation to the reimbursement policies of the public drug insurance programs for elderly persons in Manitoba, Nova Scotia, and Saskatchewan. Methods: The pharmacare databases of the 3 provincial drug insurance programs were accessed for fiscal years 1995/96, 1996/97, and 1997/98. Antimicrobial drug use was reported as mean age- and sex-standardized defined daily doses (DDDs) dispensed per 1000 beneficiaries per year. Provincial antimicrobial drug use was compared and related to provincial reimbursement policies. Results: The rates and types of antimicrobial drugs dispensed to elderly beneficiaries of the Manitoba, Nova Scotia, and Saskatchewan pharmacare programs varied. Between fiscal years 1995/96 and 1997/98, DDDs of antimicrobials per 1000 beneficiaries per year decreased by 11.5% in Saskatchewan and increased by 1.2% in Manitoba and 6.2% in Nova Scotia. Rates of use of broadspectrum agents such as amoxicillin/clavulanate, azithromycin, clarithromycin, and fluoroquinolones were lower in the provinces that had reimbursement guidelines. Even when reimbursement policies were similar, as for fluoroquinolones in Manitoba and Saskatchewan, rates of use varied markedly, possibly as a result of the method of implementing the reimbursement guidelines. Use of fluoroquinolones, macrolides, penicillins, beta-lactamase-resistant penicillins, and tetracyclines was lower and use of sulfonamides and trimethoprim was greater in Saskatchewan than in Nova Scotia and Manitoba. Conclusions: The reimbursement guidelines of provincial drug insurance programs are among the factors affecting the use of antimicrobial agents. Both the type of reimbursement policy and the policy implementation mechanism affected the rate of utilization. Further research is needed to link drug-use information with data such as antimicrobial resistance patterns, diagnoses, physician visits, and hospitalizations.

Drug utilization studies can provide useful information to improve the appropriate and effective use of pharmaceuticals in populations. Using common drug utilization evaluation systems can facilitate national and international comparisons of drug use, examine trends in use over time, and compare drug use to best practice. Limited work has been done in Canada to compare drug use across jurisdictions (provinces, regions) or with other countries. In order to make such comparisons, a common framework is needed. The World Health Organisation (WHO) Anatomical Therapeutic Chemical classification and Defined Daily Dose measure for studying drug utilization in Canada is explained, high-lighting advantages of and considerations with use of this methodology. Examples of Canadian studies using this methodology are provided. In linking the Anatomical Therapeutic Chemical/Defined Daily Dose with each marketed drug’s unique identifier (the Canadian Drug Identification Number), researchers in Canada have a tool for measuring drug utilization among regions, countries, and time periods.

In 1997, the province of Manitoba, Canada developed a regional bone density program to address concerns related to access, waiting times, and quality assurance. We report our experience with this model of bone density service delivery, which is unique in North America, and confront the challenge of balancing accessibility, clear guidelines, and fiscal responsibility.

Background: During the 1990s, there was a rapid increase in sales of Natural Health Products (NHPs) on the Canadian market. In 1997, the Canadian government put forth a proposal for increased regulation of NHPs. The new regulations were intended to address a number of consumer issues: a lack of adequate product information and poor product quality. This regulatory climate provided a unique opportunity to ascribe monetary values to the new regulations using contingent valuation willingness-to-pay (WTP) methods.

Because the rate of fracture among patients with inflammatory bowel disease (IBD) is only slightly higher than that in the general population, it is important to define high-risk groups worthy of diagnostic evaluation or prophylactic interventions. Corticosteroid use has been considered in other diseases to be a risk for fracture, although not all studies in IBD are concordant on this point. We aimed to determine whether patients with IBD drawn from a population-based database who sustain fractures are more likely to have been using corticosteroids than a matched group of IBD patients who did not fracture.We extracted from our population-based University of Manitoba Inflammatory Bowel Disease Epidemiology Database the number of patients with a new diagnosis of fracture between the years 1997-2000. From within our Inflammatory Bowel Disease Epidemiology Database, we extracted a control group of IBD patients who did not develop fractures matched to the case group who did by age, gender, diagnosis, year of diagnosis, and geographic area of residence. We linked our cohorts with Manitoba Health's Drug Program Information Network to study corticosteroid use within 2 yr before fracture diagnosis. The Drug Program Information Network is a population-based database, established in 1995, which records all prescription drugs.Fractures were identified in 13 patients with Crohn's disease and in 28 patients with ulcerative colitis. The control group included 103 Crohn's disease and 173 ulcerative colitis patients who did not fracture. In Crohn's disease, for the group who fractured compared with the controls who did not fracture, corticosteroid use before fracture was evident in seven (54%) compared with 21 (22%) who did not fracture (chi(2) = 4.45, df = 1, p = 0.035). In ulcerative colitis, for the group who fractured compared with the controls who did not fracture, corticosteroid use before fracture was evident in five (18%) compared with 37 (21%) who did not fracture (chi(2) = 0.031, df = 1, p = 0.861). Fracture cases were more likely to be exposed to oral corticosteroids (OR = 1.75; 95% CI = 0.82-3.75), but this result is not significant. Regarding corticosteroid dosing among the 12 patients with IBD who fractured and used corticosteroids, the mean total days supply was 314 days +/- 236 days compared with 258 days +/- 278 days in those who did not fracture (p = 0.16). The prescribed daily dose among corticosteroid users was comparable for those who fractured versus those who did not fracture (18 mg/day vs 21 mg/day, p = 0.90).Patients who require corticosteroids in Crohn's disease should be considered at risk for fracture. Further research is required to delineate after how much corticosteroid use are subjects at risk and/or after what duration of active disease.

Hip fractures are independently associated with advancing age, specific clinical risk factors (CRFs), and low bone mineral density (BMD). The use of BMD T-scores for quantifying fracture risk ignores the contribution of age and CRFs. We previously developed a mathematical model of absolute hip fracture risk that incorporates patient age, BMD, and the results of eleven specific CRFs. The purpose of this study was to compare the contribution of an approach to fracture risk stratification using the full model (age, CRFs and BMD) with that of a unidimensional BMD-only model. We selected 213 consecutive postmenopausal females (mean age 65.3, range 50-87.9) with CRF data referred for BMD assessment of fracture risk. Absolute hip fracture risk (over the next 5 years and remaining lifetime) was estimated using both the full and BMD-only models. The mean ratio of absolute hip fracture risks (BMD-only/full model) derived for each patient was 0.8 (95% CI, 0.16-4.0) for hip fracture in the next 5 years and 1.1 (CI, 0.1-7.6) for remaining lifetime. The wide confidence intervals indicate a large contribution of age and CRFs to fracture risk stratification. Categorization of women as "high risk" was frequently discordant for the two models. One-half of the women designated "high risk" under the full model were classified as "low risk" based upon BMD alone. In conclusion, we have shown that a multidimensional approach to hip fracture risk stratification is feasible, and greatly modifies risk stratification based on BMD alone.

The ease of measurement and the quantitative nature of bone mineral densitometry (BMD) is clinically appealing. Despite BMD's proven capability to stratify fracture risk, data indicate that clinical risk factors provide complementary information on fracture susceptibility that is independent of BMD. Methods to quantify fracture risk using both clinical and BMD variables would have great appeal for clinical decision-making. We describe a procedure for quantifying hip fracture risk (5-yr and remaining lifetime) based on (1) the individual's age alone (base model, assuming average clinical risk factors and bone density), (2) incorporation of multiple patient-specific clinical risk factor data in the base model, and (3) incorporation of both patient-specific clinical risk factor data and BMD results.

Background The majority of internet-based anxiety and depression intervention studies have targeted adults. An increasing number of studies of children, youth, and young adults have been conducted, but the evidence on effectiveness has not been synthesized. The objective of this research is to systematically review the most recent findings in this area and calculate overall (pooled) effect estimates of internet-based anxiety and/or depression interventions. Methods We searched five literature databases (PubMed, EMBASE, CINAHL, PsychInfo, and Google Scholar) for studies published between January 1990 and December 2012. We included studies evaluating the effectiveness of internet-based interventions for children, youth, and young adults (age