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Background: There is growing interest in understanding the care needs of lonely people but studies are limited and examine healthcare settings separately. We estimated and compared healthcare trajectories in lonely and not lonely older female and male respondents to a national health survey. Methods: We conducted a retrospective cohort study of community‐dwelling, Ontario respondents (65+ years) to the 2008/2009 Canadian Community Health Survey—Healthy Aging. Respondents were classified at baseline as not lonely, moderately lonely, or severely lonely using the Three‐Item Loneliness Scale and then linked with health administrative data to assess healthcare transitions over a 12 ‐year observation period. Annual risks of moving from the community to inpatient, long‐stay home care, long‐term care settings—and death—were estimated across loneliness levels using sex‐stratified multistate models. Results: Of 2684 respondents (58.8% female sex; mean age 77 years [standard deviation: 8]), 635 (23.7%) experienced moderate loneliness and 420 (15.6%) severe loneliness. Fewer lonely respondents remained in the community with no transitions (not lonely, 20.3%; moderately lonely, 17.5%; and severely lonely, 12.6%). Annual transition risks from the community to home care and long‐term care were higher in female respondents and increased with loneliness severity for both sexes (e.g., 2‐year home care risk: 6.1% [95% CI 5.5–6.6], 8.4% [95% CI 7.4–9.5] and 9.4% [95% CI 8.2–10.9] in female respondents, and 3.5% [95% CI 3.1–3.9], 5.0% [95% CI 4.0–6.0], and 5.4% [95% CI 4.0–6.8] in male respondents; 5‐year long‐term care risk: 9.2% [95% CI 8.0–10.8], 11.1% [95% CI 9.3–13.6] and 12.2% [95% CI 9.9–15.3] [female], and 5.3% [95% CI 4.2–6.7], 9.1% [95% CI 6.8–12.5], and 10.9% [95% CI 7.9–16.3] [male]). Conclusions: Lonely older female and male respondents were more likely to need home care and long‐term care, with severely lonely female respondents having the highest probability of moving to these settings. [ABSTRACT FROM AUTHOR]

Background: In Canada, long waiting times for core specialized services have consistently been identified as a key barrier to access. Governments and organizations have responded with strategies for better access management, notably for total joint replacement (TJR) of the hip and knee. While wait time management strategies (WTMS) are promising, the factors which influence their sustainable implementation at the organizational level are understudied. Consequently, this study examined organizational and systemic factors that made it possible to sustain waiting times for TJR within federally established limits and for at least 18 months or more.Methods: The research design is a multiple case study of WTMS implementation. Five cases were selected across five Canadian provinces. Three success levels were pre-defined: 1) the WTMS maintained compliance with requirements for more than 18 months; 2) the WTMS met requirements for 18 months but could not sustain the level thereafter; 3) the WTMS never met requirements. For each case, we collected documents and interviewed key informants. We analyzed systemic and organizational factors, with particular attention to governance and leadership, culture, resources, methods, and tools.Results: We found that successful organizations had specific characteristics: 1) management of the whole care continuum, 2) strong clinical leadership; 3) dedicated committees to coordinate and sustain strategy; 4) a culture based on trust and innovation. All strategies led to relatively similar unintended consequences. The main negative consequence was an initial increase in waiting times for TJR and the main positive consequence was operational enhancement of other areas of specialization based on the TJR model.Conclusions: This study highlights important differences in factors which help to achieve and sustain waiting times. To be sustainable, a WTMS needs to generate greater synergies between contextual-level strategy (provincial or regional) and organizational objectives and constraints. Managers at the organizational level should be vigilant with regard to unintended consequences that a WTMS in one area can have for other areas of care. A more systemic approach to sustainability can help avoid or mitigate undesirable unintended consequences. [ABSTRACT FROM AUTHOR]

Background: Some patients with cardiovascular-related chronic diseases such as diabetes and heart disease report financial barriers to achieving optimal health. Previous surveys report that the perception of having a financial barrier is associated with self-reported adverse clinical outcomes. We sought to confirm these findings using linked survey and administrative data to determine, among patients with cardiovascular-related chronic diseases, if there is an association between perceived financial barriers and the outcomes of: (1) disease-related hospitalizations, (2) all-cause mortality and (3) inpatient healthcare costs.Methods: We used ten cycles of the nationally representative Canadian Community Health Survey (administered between 2000 and 2011) to identify a cohort of adults aged 45 and older with hypertension, diabetes, heart disease or stroke. Perceived financial barriers to various aspects of chronic disease care and self-management were identified (including medications, healthful food and home care) from the survey questions, using similar questions to those used in previous studies. The cohort was linked to administrative data sources for outcome ascertainment (Discharge Abstract Database, Canadian Mortality Database, Patient Cost Estimator). We utilized Poisson regression techniques, adjusting for potential confounding variables (age, sex, education, multimorbidity, smoking status), to assess for associations between perceived financial barriers and disease-related hospitalization and all-cause mortality. We used gross costing methodology and a variety of modelling approaches to assess the impact of financial barriers on hospital costs.Results: We identified a cohort of 120,752 individuals over the age of 45 years with one or more of the following: hypertension, diabetes, heart disease or stroke. One in ten experienced financial barriers to at least one aspect of their care, with the two most common being financial barriers to accessing medications and healthful food. Even after adjustment, those with at least one financial barrier had an increased rate of disease-related hospitalization and mortality compared to those without financial barriers with adjusted incidence rate ratios of 1.36 (95% CI: 1.29-1.44) and 1.24 (1.16-1.32), respectively. Furthermore, having a financial barrier to care was associated with 30% higher inpatient costs compared to those without financial barriers.Discussion: This study, using novel linked national survey and administrative data, demonstrates that chronic disease patients with perceived financial barriers have worse outcomes and higher resource utilization, corroborating the findings from prior self-report studies. The overall exposure remained associated with the primary outcome even in spite of adjustment for income. This suggests that a patient's perception of a financial barrier might be used in clinical and research settings as an additional measure along with standard measures of socioeconomic status (ie. income, education, social status).Conclusions: After adjusting for relevant covariates, perceiving a financial barrier was associated with increased rates of hospitalization and mortality and higher hospital costs compared to those without financial barriers. The demonstrable association with adverse outcomes and increased costs seen in this study may provide an impetus for policymakers to seek to invest in interventions which minimize the impact of financial barriers. [ABSTRACT FROM AUTHOR]

Objectives. To estimate the risk of work loss due to illness or disability in a cohort of employed persons with OA compared with matched non-OA individuals. Methods. We performed a population-based cohort analysis using the last six cycles of the Canadian longitudinal National Population Health Survey from 2000 to 2010. OA cases and up to four age- and sex-matched non-OA individuals were selected. Discrete time hazard regression models were used to estimate the hazard of work loss due to illness or disability. To analyse the effect of a self-reported OA measure on the outcome, we performed a sensitivity analyses for case selection. Results. From 7273 employed individuals between the ages of 20 and 70 years in the National Population Health Survey, 659 OA cases were selected and matched to 2144 non-OA individuals. The proportion of OA cases who experienced work loss due to illness or disability during the follow-up period was 12.6%, compared with 9.3% for non-OA individuals (P < 0.001). OA cases had a 90% [hazard ratio (HR) 1.90 (95% CI 1.36, 3.23)] higher hazard of work loss due to illness or disability compared with their matched non-OA individuals after adjusting for sociodemographic, health and work-related status. The adjusted HRs were 1.61 (95% CI 1.13, 2.30) and 2.04 (95% CI 1.74, 4.75) for females and males, respectively. Conclusion. OA is independently associated with an increased risk of work loss due to illness or disability. Given the high prevalence of OA in the population of working age, future research may wish to investigate ways to improve occupational participation among OA patients. [ABSTRACT FROM AUTHOR]

Rationale, aims and objectives As total joint arthroplasty ( TJA) rates rise, there is need to ensure appropriate use. Our objective was to elucidate surgeons' perspectives on appropriateness for TJA. Methods Semi-structured telephone interviews were conducted in a sample of orthopaedic surgeons that perform TJA in three Canadian Provinces. Surgeons were asked to discuss their criteria for TJA appropriateness for osteoarthritis; potential value of a decision-support tool to select appropriate candidates; and the role of other stakeholders in assessing appropriateness. Results Of 17 surgeons approached for participation, 14 completed interviews (12 males; 7 aged <50 years; 5 academic; 8 in urban practices). Surgeons agreed that pain and pain impact on patients' quality of life and function were the key criteria to assess appropriateness for TJA, but that these concepts were difficult to assess and not always congruent with structural changes on joint radiography. Some used a wider range of criteria, including their assessments of patient expectations, ability to cope and readiness for surgery. While patient age was not identified as a criterion itself, surgeons did acknowledge that appropriateness criteria may differ for younger versus older patients. Most agreed that a decision-support tool would help ensure that all elements of appropriateness are assessed in a standardized manner, albeit the ultimate decision to offer surgery must be left to the discretion of surgeons, within the context of the doctor-patient relationship. Conclusions Surgeons recognized the need for a tool to support decision making for TJA, particularly in the context of increasing surgical demand in younger patients with less severe arthritis. The work to develop and test such a decision-support tool is underway. [ABSTRACT FROM AUTHOR]

Objectives: Previous patient-level acute myocardial infarction (AMI) research has found higher hospital spending to be associated with improved survival; however, survivor-treatment selection bias traditionally has been overlooked. The purpose of this study was to examine the AMI cost-outcome relationship, taking into account this form of bias.Data Sources: Hospital Discharge Abstract data tracked costs for AMI hospitalizations. Ontario Vital Statistics data tracked patient mortality.Study Design: A standard Cox survival model was compared to an extended Cox model using hospital costs as a time-varying covariate to examine the impact of cost on 1-year survival in a cohort of 30,939 first-time AMI patients in Ontario, Canada, from 2007 to 2010.Principal Findings: Higher patient-level AMI spending decreased the hazard of dying (Standard Model: log-cost hazard ratio: 0.513, 95 percent CI: 0.479-0.549; Extended Model: log-cost hazard ratio: 0.700, 95 percent CI: 0.645-0.758); however, the protective effect was overestimated by 62 percent when survivor-treatment bias was overlooked. In the extended model, a 10 percent increase in spending was associated with a 3.6 percent decrease in hazard of death.Conclusion: The findings of this study suggest that if survivor-treatment bias is overlooked, future research may materially overstate the protective effect of patient-level spending on outcomes. [ABSTRACT FROM AUTHOR]

Objective As rates of total joint arthroplasty (TJA) for osteoarthritis (OA) rise, there is a need to ensure appropriate use. We undertook this study to develop criteria for appropriate use of TJA. Methods In prior work, we used qualitative methods to separately assess OA patients' and arthroplasty surgeons' perceptions regarding appropriateness of patient candidates for TJA. The current study reviewed the appropriateness themes that emerged from each group, and a series of statements were developed to reflect each unique theme or criterion. A group of arthroplasty surgeons then indicated their level of agreement with each statement using electronic voting. Where ≤70% agreed or disagreed, the criterion was discussed and revised, and revoting occurred. In standardized telephone interviews, OA patient focus group participants indicated their level of agreement with each revised criterion. Results Qualitative research in 58 OA patients and 14 arthroplasty surgeons identified 11 appropriateness criteria. Member-checking in 15 surgeons (including 5 who had participated in the qualitative study) resulted in agreement on 6 revised criteria. These included evidence of arthritis on joint examination, patient-reported symptoms negatively impacting quality of life, an adequate trial of appropriate nonsurgical treatment, realistic patient expectations of surgery, mental and physical readiness of patient for surgery, and patient-surgeon agreement that potential benefits exceed risks. Thirty-six of the original 58 OA patient focus group participants (62.1%) participated in the member-check interviews and endorsed all 6 criteria. Conclusion Patients and surgeons jointly endorsed 6 criteria for assessment of TJA appropriateness in OA patients. Prospective validation of these criteria (assessed preoperatively) as predictive of postoperative patient-reported outcomes is under way and will inform development of a surgeon-patient decision-support tool for assessment of TJA appropriateness. [ABSTRACT FROM AUTHOR]

Background The widespread use of risk algorithms in clinical medicine is testimony to how they have helped transform clinical decision-making. Risk algorithms have a similar but underdeveloped potential to support decision-making for population health. Objective To describe the role of predictive risk algorithms in a population setting. Methods First, predictive risk algorithms and how clinicians use them are described. Second, the population uses of risk algorithms are described, highlighting the strengths of risk algorithms for health planning. Lastly, the way in which predictive risk algorithms are developed is discussed briefly and a guide for algorithm assessment in population health presented. Conclusion For the past 20 years, absolute and baseline risk has been a cornerstone of population health planning. The most accurate and discriminating method to generate such estimates is the use of multivariable risk algorithms. Routinely collected data can be used to develop algorithms with characteristics that are well suited to health planning and such data are increasingly available. The widespread use of risk algorithms in clinical medicine is testimony to how they have helped transform clinical decision-making. Risk algorithms have a similar but underdeveloped potential to support decision-making for population health. INSETS: Case example of risk prediction in clinical medicined algorithms.;Case example of population use of a clinical risk algorithm. [ABSTRACT FROM AUTHOR]

Hospitals tend to be among the destinations that make densely populated, well-connected neighbourhoods more conducive to active living. In this study, we determined whether living near a hospital distorts the association between living in favourable ALEs and hospitalization for physical inactivity-related cardiometabolic diseases. We used a record linkage of 442,345 respondents of the Canadian Community Health Survey and their hospitalization records for cardiometabolic disease. We then assessed respondents' neighbourhoods using the Canadian Active Living Environments measure (Can-ALE), a measure based on ≥3-way intersection density, residential density, and points of interest. We then calculated the distance in kilometers between the centroids of respondents' assigned dissemination areas and the nearest user-contributed location for hospitals from OpenStreetMap. We monitored changes in estimates for the association between ALEs and odds of cardiometabolic disease hospitalization using a series of logistic regressions with indicator variables for distances to hospital of 500 meters to 10 kilometers. We found that living between 500 meters and six kilometers of a hospital and was associated with modestly higher odds of cardiometabolic hospitalization (OR 1.10, 95% CI 1.02 to 1.18 for 500 meters; OR 1.05, 95% CI 1.01 to 1.09 for six kilometers). Living in more favourable ALEs was associated with lower odds of hospitalization (OR 0.79, 95% CI 0.68 to 0.91; comparing the most favourable to least favourable ALEs). Effect estimates between more favourable ALEs and lower odds of hospitalization were marginally strengthened when living within 2-6 kilometers to a hospital was accounted for. This study demonstrates the importance of disentangling interrelated geographic factors and underlines the potential for built environments to elicit reductions in health care. [ABSTRACT FROM AUTHOR]