Claudia Sanmartin

Socioeconomic status and utilization of health care services in Canada and the United States: findings from a binational health survey.

Objectives:Building on Andersen’s behavioral model for the utilization of health care services, we examined factors associated with utilization of physician and hospital services among adults in Canada and the United States, with a focus on socioeconomic status (enabling resources in Andersens framework). Methods:Using the 2002–2003 Joint Canada/United States Survey of Health, we conducted country-specific multivariate logistic regressions predicting doctor contacts/visits and overnight hospitalizations in the past year, controlling for predisposing characteristics, enabling resources, and several factors representing perceived need for health care. All analyses were appropriately weighted to yield nationally representative results. Results:Several measures of socioeconomic status—having a regular medical doctor, education, and, in the US income and insurance coverage—were associated with doctor contacts or visits in both countries, along with various predisposing and need factors. However, these same measures were not associated with hospitalizations in either country. Instead, only the individuals predisposing characteristics (eg, age and sex) and his/her need for health care predicted utilization of hospital services in Canada and the United States. Insurance coverage status in the United States became a significant predictor of hospitalizations when count data were analyzed via Poisson regression. Conclusions:Given our particular outcome measures, adults in Canada and the United States exhibited similar patterns of hospital utilization, and socioeconomic status played no explanatory role. However, relative to Canadian adults, we found disparities in doctor contacts among US adults—between those with more income and those with less, between those with health insurance and those without—after adjusting for health care needs and predisposing characteristics.

Labour market income inequality and mortality in North American metropolitan areas

Objective: To investigate relations between labour market income inequality and mortality in North American metropolitan areas. Methods: An ecological cross sectional study of relations between income inequality and working age (25–64 years) mortality in 53 Canadian (1991) and 282 US (1990) metropolitan areas using four measures of income inequality. Two labour market income concepts were used: labour market income for households with non-trivial attachment to the labour market and labour market income for all households, including those with zero and negative incomes. Relations were assessed with weighted and unweighted bivariate and multiple regression analyses. Results: US metropolitan areas were more unequal than their Canadian counterparts, across inequality measures and income concepts. The association between labour market income inequality and working age mortality was robust in the US to both the inequality measure and income concept, but the association was inconsistent in Canada. Three of four inequality measures were significantly related to mortality in Canada when households with zero and negative incomes were included. In North American models, increases in earnings inequality were associated with hypothetical increases in working age mortality rates of between 23 and 33 deaths per 100 000, even after adjustment for median metropolitan incomes. Conclusions: This analysis of labour market inequality provides more evidence regarding the robust nature of the relation between income inequality and mortality in the US. It also provides a more refined understanding of the nature of the relation in Canada, pointing to the role of unemployment in generating Canadian metropolitan level health inequalities.

Appropriateness of healthcare interventions: Concepts and scoping of the published literature

OBJECTIVES This report is a scoping review of the literature with the objective of identifying definitions, conceptual models and frameworks, as well as the methods and range of perspectives, for determining appropriateness in the context of healthcare delivery. METHODS To lay groundwork for future, intervention-specific research on appropriateness, this work was carried out as a scoping review of published literature since 1966. Two reviewers, with two screens using inclusion/exclusion criteria based on the objective, focused the research and articles chosen for review. RESULTS The first screen examined 2,829 abstracts/titles, with the second screen examining 124 full articles, leaving 37 articles deemed highly relevant for data extraction and interpretation. Appropriateness is defined largely in terms of net clinical benefit to the average patient and varies by service and setting. The most widely used method to assess appropriateness of healthcare services is the RAND/UCLA Model. There are many related concepts such as medical necessity and small-areas variation. CONCLUSIONS A broader approach to determining appropriateness for healthcare interventions is possible and would involve clinical, patient and societal perspectives.

The importance of patient expectations as a determinant of satisfaction with waiting times for hip and knee replacement surgery

OBJECTIVES The disconfirmation model hypothesizes that satisfaction is a function of a perceived discrepancy from an initial expectation. Our objectives were: (1) to test the disconfirmation model as it applies to patient satisfaction with waiting time (WT) and (2) to build an explanatory model of the determinants of satisfaction with WT for hip and knee replacement. METHODS We mailed 1000 questionnaires to 2 random samples: patients waiting or those who had received a joint replacement within the preceding 3-12 months. We used ordinal logistic regression analysis to build an explanatory model of the determinants of satisfaction. RESULTS Of the 1330 returned surveys, 1240 contained patient satisfaction data. The sample was 57% female; mean age was 70 years (SD 11). Consistent with the disconfirmation model, when their WTs were longer than expected, both waiting (OR 5.77, 95% CI 3.57-9.32) and post-surgery patients (OR 6.57, 95% CI 4.21-10.26) had greater odds of dissatisfaction, adjusting for the other variables in the model. Compared to those who waited 3 months or less, post-surgery patients who waited 6 to 12 months (OR 2.59, 95% CI 1.27-5.27) and over 12 months (OR 3.30, 95% CI 1.65-6.58) had greater odds of being dissatisfied with their waiting time. Patients who felt they were treated unfairly had greater odds of being dissatisfied (OR 4.74, 95% CI 2.60-8.62). CONCLUSIONS In patients on waiting lists and post-surgery for hip and knee replacement, satisfaction with waiting times is related to fulfillment of expectations about waiting, as well as a perception of fairness. Measures to modify expectations and increase perceived fairness, such as informing patients of a realistic WT and communication during the waiting period, may increase satisfaction with WTs.

Predictive risk algorithms in a population setting: an overview

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.

Perspectives of Canadian Stakeholders on Criteria for Appropriateness for Total Joint Arthroplasty in Patients With Hip and Knee Osteoarthritis.

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.

A bird can't fly on one wing: patient views on waiting for hip and knee replacement surgery.

Objectives  To obtain patients’ perspectives on acceptable waiting times for hip or knee replacement surgery.

The CANHEART health index: a tool for monitoring the cardiovascular health of the Canadian population

Background: To comprehensively examine the cardiovascular health of Canadians, we developed the Cardiovascular Health in Ambulatory Care Research Team (CANHEART) health index. We analyzed trends in health behaviours and factors to monitor the cardiovascular health of the Canadian population. Methods: We used data from the Canadian Community Health Survey (2003–2011 [excluding 2005]; response rates 70%–81%) to examine trends in the prevalence of 6 cardiovascular health factors and behaviours (smoking, physical activity, fruit and vegetable consumption, overweight/obesity, diabetes and hypertension) among Canadian adults aged 20 or older. We defined ideal criteria for each of the 6 health metrics. The number of ideal metrics was summed to create the CANHEART health index; values range from 0 (worst) to 6 (best or ideal). A separate CANHEART index was developed for youth age 12–19 years; this index included 4 health factors and behaviours (smoking, physical activity, fruit and vegetable consumption and overweight/obesity). We determined the prevalence of ideal cardiovascular health and the mean CANHEART health index score, stratified by age, sex and province. Results: During the study period, physical activity and fruit and vegetable consumption increased and smoking decreased among Canadian adults. The prevalence of overweight/obesity, hypertension and diabetes increased. In 2009–2010, 9.4% of Canadian adults were in ideal cardiovascular health, 53.3% were in intermediate health (4–5 healthy factors or behaviours), and 37.3% were in poor cardiovascular health (0–3 healthy factors or behaviours). Twice as many women as men were in ideal cardiovascular health (12.8% vs. 6.1%). Among youth, the prevalence of smoking decreased and the prevalence of overweight/obesity increased. In 2009–2010, 16.6% of Canadian youth were in ideal cardiovascular health, 33.7% were in intermediate health (3 healthy factors or behaviours), and 49.7% were in poor cardiovascular health (0–2 healthy factors or behaviours). Interpretation: Fewer than 1 in 10 Canadian adults and 1 in 5 Canadian youth were in ideal cardiovascular health from 2003 to 2011. Intensive health promotion activities are needed to meet the Heart and Stroke Foundation of Canada’s goal of improving the cardiovascular health of Canadians by 10% by 2020 as measured by the CANHEART health index.

The association of income with health behavior change and disease monitoring among patients with chronic disease.

Background Management of chronic diseases requires patients to adhere to recommended health behavior change and complete tests for monitoring. While studies have shown an association between low income and lack of adherence, the reasons why people with low income may be less likely to adhere are unclear. We sought to determine the association between household income and receipt of health behavior change advice, adherence to advice, receipt of recommended monitoring tests, and self-reported reasons for non-adherence/non-receipt. Methods We conducted a population-weighted survey, with 1849 respondents with cardiovascular-related chronic diseases (heart disease, hypertension, diabetes, stroke) from Western Canada (n = 1849). We used log-binomial regression to examine the association between household income and the outcome variables of interest: receipt of advice for and adherence to health behavior change (sodium reduction, dietary improvement, increased physical activity, smoking cessation, weight loss), reasons for non-adherence, receipt of recommended monitoring tests (cholesterol, blood glucose, blood pressure), and reasons for non-receipt of tests. Results Behavior change advice was received equally by both low and high income respondents. Low income respondents were more likely than those with high income to not adhere to recommendations regarding smoking cessation (adjusted prevalence rate ratio (PRR): 1.55, 95%CI: 1.09–2.20), and more likely to not receive measurements of blood cholesterol (PRR: 1.72, 95%CI 1.24–2.40) or glucose (PRR: 1.80, 95%CI: 1.26–2.58). Those with low income were less likely to state that non-adherence/non-receipt was due to personal choice, and more likely to state that it was due to an extrinsic factor, such as cost or lack of accessibility. Conclusions There are important income-related differences in the patterns of health behavior change and disease monitoring, as well as reasons for non-adherence or non-receipt. Among those with low income, adherence to health behavior change and monitoring may be improved by addressing modifiable barriers such as cost and access.

Toward Standard Definitions for Waiting Times

There are no standard or universally accepted definitions of waiting times for a broad range of health services and procedures. The Western Canada Waiting List Project, like other similar projects, has recognized the need to establish such standard definitions to improve the accuracy and comparability of waiting time information across procedures and jurisdictions and of information provided to patients. This article proposes standard definitions of waiting times for surgery and magnetic resonance imaging.