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RESEARCH AND PRACTICE |
Karen E. Lasser, David U. Himmelstein, and Steffie Woolhandler are with the Department of Medicine, The Cambridge Health Alliance and Harvard Medical School, Cambridge, Mass.
Correspondence: Requests for reprints should be sent to Karen E. Lasser, MD, MPH, Department of Medicine, The Cambridge Hospital, 1493 Cambridge St, Cambridge, MA 02139 (e-mail: klasser{at}challiance.org).
| ABSTRACT |
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Objectives. We compared health status, access to care, and utilization of medical services in the United States and Canada and compared disparities according to race, income, and immigrant status.
Methods. We analyzed population-based data on 3505 Canadian and 5183 US adults from the Joint Canada/US Survey of Health. Controlling for gender, age, income, race, and immigrant status, we used logistic regression to analyze country as a predictor of access to care, quality of care, and satisfaction with care and as a predictor of disparities in these measures.
Results. In multivariate analyses, US respondents (compared with Canadians) were less likely to have a regular doctor, more likely to have unmet health needs, and more likely to forgo needed medicines. Disparities on the basis of race, income, and immigrant status were present in both countries but were more extreme in the United States.
Conclusions. United States residents are less able to access care than are Canadians. Universal coverage appears to reduce most disparities in access to care.
| INTRODUCTION |
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We analyzed population-based data from the recently released Joint Canada/US Survey of Health (JCUSH) to compare health status, access to care, and health care utilization in the 2 countries. We also sought to explore whether universal health insurance can mitigate disparities in health11,12a question complicated by differences in race, poverty, and immigrant status in the 2 nations.
| METHODS |
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The JCUSH sample was designed to produce reliable national estimates for 3 age groups (1844, 4564, and 65 and older) by gender, with an oversampling of persons aged 65 years and older. Population estimates were derived from the 1996 Canada Census of Population and from the October 2002 US Current Population Survey. Poststratification adjustments for nonresponse were based on age, gender, and region for Canada and age, gender, and race/ethnicity for the United States. Response rates were 69.3% and 50.2% in Canada and the United States, respectively. The response rates were calculated by multiplying the proportion of valid telephone numbers by the cooperation rate.14 The proportion of valid telephone numbers was 100% in Canada and only 80% in the United States; the cooperation rate was 69.3% in Canada and 62.7% in the United States. No information is available on the characteristics of nonrespondents. The data were released for public use in mid-2004.
Definition of behavioral risk factors and chronic illnesses.
We used the World Health Organization (WHO) definitions of overweight (body mass index [BMI]
25 but < 30) and obesity (BMI
30). We defined sedentary lifestyle as no physical activity in the past 3 months. We used the JCUSH definition of current daily smokersindividuals who reported having smoked at least 1 whole cigarette and who smoked cigarettes every day at the time of the survey. The JCUSH defined depression as a 90% or higher likelihood of having had a major depressive episode in the past year, as determined from responses to a subset of questions from the WHO 1990 Composite International Diagnostic Interview.15 The JCUSH also asked respondents whether they had diabetes, asthma, hypertension, arthritis, chronic obstructive pulmonary disease, or heart disease.
Definition of health status measures. The JCUSH administered the Health Utility Index16 to all respondents. The index is based on the Comprehensive Health Status Measurement System17 and provides a description of an individuals overall functional health on the basis of 8 attributes: vision, hearing, speech, mobility, dexterity, cognition, emotion, and pain and discomfort. The JCUSH also administered an impact-of-health scale, based on the following question: "How often does a long-term physical condition or mental condition or health problem reduce the amount or the kind of activity you can do at home, at school, at work, and in other activities, for example, transportation or leisure?" The impact-of-health scale was adapted from the WHOs International Classification of Functioning18 and has been shown to have good validity and reliability (according to Andrew MacKenzie, MA, oral communication, March 2005).
Definition of access to care and health services measures. Respondents were considered to have an unmet health care need if they felt they had needed, but had not received, a health care service in the past year. In accordance with screening guidelines in both countries,1922 we defined women aged 18 to 65 years with an intact uterus as eligible for cervical cancer screening and women aged 50 to 69 years as eligible for mammography screening. The guidelines stipulate that eligible women receive Papanicolaou (Pap) tests every 3 years.20,22 Unfortunately, for the question "When was the last time you had a Papanicolaou test," JCUSH offered response choices of: "1 year to less than 3 years ago" and "3 years to less than 5 years ago." Hence, women who had fulfilled screening guidelines by receiving a Pap test exactly 3 years ago could not be differentiated from those whose most recent Pap test was more than 3 years (but less than 5 years) ago. For this reason, we present results for Pap tests "1 year to less than 3 years ago" and "3 years to less than 5 years ago."
Guidelines in both countries also stipulate that eligible women receive mammograms every 2 years.19,21 When asked the date of their last mammogram, women were offered responses including: "1 year to less than 2 years ago" and "2 years to less than 5 years ago." Because it is not possible to determine precisely which women received mammography within the recommended screening interval (2 years or less), we present results for both response categories.
Respondents also were asked to rate the quality of the physician, hospital, and community-based care they received in the past year and to rate their satisfaction with such care. The satisfaction and quality questions used in the JCUSH have not been validated, nor have they been tested for reliability.
Statistical Methods
We used the SAS computer statistical package, Version 9.1 (SAS Institute Inc, Cary, NC). We performed
2 tests to compare differences in demographics, health status, and access to care between groups. In secondary analyses, we compared access to care and receipt of health services between US insured and US uninsured respondents, between US insured and all Canadian respondents, and between the US uninsured and all Canadian respondents. In analyses stratified by country, we also used the
2 test to compare health status, access to care, and receipt of health services between White and non-White respondents, between foreign-born and native-born respondents, and between respondents in the highest and lowest income quintiles. To derive accurate tests of statistical significance, we used SUDAAN statistical software (Research Triangle Institute, Research Triangle Park, NC; 1989), which adjusts for the surveys complex sampling design.23
We used multiple logistic regression to analyze country (United States vs Canada) as a predictor of 5 access-to-care variables (having a regular medical doctor, having contacted any medical doctor in the past 12 months, needing but not getting medicines because of cost, having unmet health care needs in the past year, and having a dental visit within the past year) and as a predictor of perceived quality of care and satisfaction with health care. In these analyses, we controlled for gender, age, income level, race, and immigrant status. Income data were missing on 32% of respondents. Because respondents without income data differed demographically from other respondents, we treated missing values for income as a separate group in the analysis.
To detect differences between the United States and Canada in the presence of disparities on the basis of race, income, and immigrant status, we included interaction terms between country and race, immigrant status, and income, respectively. Because the interaction terms between country and immigrant status and between country and income were statistically significant in many of the logistic regression models, we present data in multivariate logistic regression models stratified by country.
| RESULTS |
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Table 3
presents data on access to care and receipt of health services according to country and insurance status (analyses limited to US respondents) and according to country and race. Across virtually all measures, uninsured US residents had much worse access to care, received fewer medical services, and rated the quality of their care lower than did insured US residents. The uninsured were also less satisfied with the care they received. The US uninsured fared much worse than Canadians on most of these measures, whereas the US insured fared slightly better than Canadians (results of statistical testing not shown). Non-Whites were more obese than were Whites in the United States, but the opposite was true in Canada. In both countries, non-Whites were more sedentary. Racial differences in access to care were less marked in Canada than in the United States. Yet among the approximately 8% of respondents who reported depression in the past year, non-Whites in both countries (and the US uninsured) were less likely to receive treatment than were Whites or the US insured. Unlike non-White US residents, non-White Canadians were less likely to have received a Pap test within the past 3 years. Non-Whites in both countries had lower perceived quality of care and satisfaction than did Whites.
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Multivariate Results
Table 4
presents the results of multivariate analyses of access to care, using logistic regression to examine the impact of income, age, gender, race, and immigrant status. US residents (compared with Canadians) were less likely to have a regular doctor, more likely to have unmet health needs, and more likely to forgo needed medicines. US respondents were also more likely to say that they were very satisfied with the way health care services were provided. At the same time, US respondents were more likely to report that they were somewhat or very dissatisfied with health care services (odds ratio = 1.27, 95% confidence interval = 1.04, 1.54; data not shown in Table 4
). In both the United States and Canada, respondents in the highest income quintile (compared with those in the lowest income quintile) had better access to care by most measures. The foreign-born respondents in both countries were less likely to perceive their quality of care as excellent than were the native born, although only in the United States were foreign-born respondents less likely to have a regular medical doctor, to have contacted a medical doctor in the past year, or to be very satisfied with their care. Non-Whites in both countries were less likely to be very satisfied with their health care than were Whites, although only in the United States were the former more likely to report unmet health care needs or to forgo needed medicines and less likely to have had a dental visit or to rate their quality of care as excellent.
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| DISCUSSION |
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Our analyses of quality of care and satisfaction are limited, because JCUSH questions were not tested for validity and reliability. In addition, the JCUSH contained no outcome data. We observed 1 quality problem in Canadaat least 17% and perhaps as many as 21% of Canadian women are not receiving recommended cervical cancer screening. This deficiency may reflect low reimbursement rates for this service in Canada. However, death rates from cervical cancer have long been lower in Canada than in the United States,1 presumably reflecting past screening practices and population risk factors. The JCUSH data suggest that Canada no longer enjoys greater satisfaction with its health care than does the United States.24 It seems plausible that Canadas far lower health spending compromises aspects of care that affect satisfaction but not health outcomes (e.g., the attractiveness of the physical plant or waiting times for elective services).
Our finding that US residents have slightly higher rates of unmet health care needs confirms previous findings.2,25 As in previous studies,2,25 we found that barriers to care differed in the 2 countries: in the United States cost was the principal barrier, whereas in Canada waiting times were an issue. Canadas waiting times have received substantial press attention in the United States.26 Nonetheless we found that long waiting times led to an unmet health need for only a small percentage (3.5%) of Canadians.
Racial disparities in health, present in both countries,27,28 were more extreme in the United States. In multivariate analyses, non-Whites in the United States, but not in Canada, were more likely to have unmet health needs, to forgo needed medicines, and to have lower perceived quality of care than were Whites. Yet non-White Canadians had lower Pap test rates and lower rates of treatment for depression than did White Canadians. It is possible that equalization of financial access may not ensure receipt of culturally conditioned services such as pelvic exams and psychiatric care. Comparing racial disparities in the 2 nations is complicated by the fact that each has a very different non-White population. The reasons for disparities involving Aboriginal Canadians and Asian Canadians may be different from those involving African Americans in the United States. Furthermore, the JCUSH did not provide language data on respondents; it is possible that the observed differences in both countries may in part reflect language barriers.
Income disparities may explain much, but not all, of racial disparities in health.29 For Canadians, we, like others,30 found income disparities in access to care. Like Katz et al.,9 we also observed that low-income Canadians have better access to medical care than do low-income US residents. Our study adds to others2 in finding marked income disparities in perceived quality of care. Health disparities on the basis of immigrant status are also more pronounced in the United States than in Canada. Yet this comparison is problematic because the immigrant populations of the 2 countries differ. In Canada, many recent immigrants are Asian,31 whereas in the United States, Latinos are the largest immigrant group, followed by Asians. Unfortunately, the JCUSH contains no data on the country of origin or the date of immigration, precluding more refined comparisons of immigrant health.
The JCUSH is also limited by the different response rates in the 2 nations: 69.3% in Canada and 50% in the United States. The response rate reflects both the proportion of valid telephone numbers and the cooperation rate of potential respondents. The proportion of valid telephone numbers is higher in Canada because numbers can be verified to be working and residential by calling telephone companies; in the United States, numbers cannot be confirmed in the same way. US residents were more likely than Canadians to refuse participation in the survey, and to break off the interview once it was started.14 Cultural differences between US residents and Canadians may account for both their differential participation in the survey and for the nature of their survey responses.
Comparisons of access to dental care in the 2 countries are of interest, given that neither country has universal dental coverage. Unlike physician services in Canada, which are fully insured in every province, dental coverage varies from province to province. In Canada, income disparities were much more pronounced for dental care than for medical care and were of a similar magnitude to the US disparities.
Universal coverage attenuates inequities in health care and should be implemented in the United States. However, adequate funding to avoid waits for care is essential; otherwise, satisfaction with care may diminish. Moreover, universal coverage is not sufficient to eliminate all health disparities. We also must address inferior systems of care in institutions serving the poor and nonfinancial access barriers such as cultural and language barriers. Simultaneously, policies to address unfavorable social conditions that impact health are sorely needed. Such policies could include reduction of income inequality through tax reform, improved housing, and expanded educational and employment opportunities for the poor.
| Acknowledgments |
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K. E. Lasser also thanks the Bogliasco Foundation for inviting her to be a guest at the Liguria Study Center for the Arts and Humanities.
Human Participant Protection
No protocol approval was needed for this study.
| Footnotes |
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Contributors
K. E. Lasser completed the analyses and led the writing. D. U. Himmelstein and S. Woolhandler supervised all aspects of study implementation and reviewed the article. All authors originated the study, conceptualized ideas, and interpreted findings.
Accepted for publication June 11, 2005.
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