Socioeconomic differences in supplemental prescription drug insurance coverage in Canada

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Socioeconomic differences in supplemental prescription drug insurance coverage in G Emmanuel Guindon, PhD Centre for Health Economics and Policy Analysis (CHEPA) Department of Health Research Methods, Evidence, and Impact (HEI) McMaster University Canadian Research Data Centre Network (CRDCN) 2018 National Conference Hamilton, Ontario 18 October, 2018

Acknowledgements, funding, conflict of interest Co-authors Elaine Xiaoyu Guo, University of Toronto [lead]; Arthur Sweetman, McMaster University Acknowledgements McMaster University: Dennis Ren, Gioia Buckley, Peter Kitchen, Mustafa Ornek, Li Wang MOHLTC: Carley Hay, Joanne Thanos, Eric Nauenberg MoF: Darren McHugh Funding This analysis builds on work conducted as part of a larger project done in collaboration with the MOHLTC and the MoF that examined extending health benefits to low-income populations; Emmanuel Guindon holds the Centre for Health Economics and Policy Analysis (CHEPA)/Ontario Ministry of Health and Long-Term Care (MOHLTC) Chair in Health Equity, an endowed Chair funded in part by the MOHLTC; Arthur Sweetman holds the Ontario Research Chair in Health Human Resources, an endowed Chair funded by the MOHLTC. Conflict of interest None. The views expressed are the views of the authors and should not be taken to represent the views of the Government of Ontario. MOHLTC, Ontario Ministry of Health and Long-Term Care CHEPA, Centre for Health Economics and Policy Analysis MoF, Ontario Ministry of Finance

Background The Health Act legislates universal coverage for medically necessary hospital and physician services. Other services viewed by many as equally medically necessary, such as prescription drugs are excluded. Financing of these services largely relies on a patchwork of public and private supplementary health insurance. Québec: public/private universal pharmacare British Columbia: income-based pharmacare Ontario: age-based pharmacare (Ontario Drug Benefit, OHIP+) Clear evidence that increasing cost-sharing reduces the use of prescription drugs (essential and non-essential).

Research objectives 1. Describe the extent to which Canadians have access to supplementary drug insurance; 2. Examine associations between having prescription drug coverage and socioeconomic (SES) characteristics and health status.

Methods data 1. Canadian Community Health Surveys, Statistics Ontario: 2005,,, New Brunswick:,,,, :, 2003 (all), 2005 (), (NB), (NB, ), (NU), (NU), (NB, NU), (NB,, NU), (NB,, YT), (all) 2. International Health Policy Survey, Commonwealth Fund,,,,,, and

Methods data 1. Canadian Community Health Surveys, Statistics Do you have insurance that covers all or part of the cost of your prescription medications? : Is it?: - a government-sponsored plan - an employer-sponsored plan - a private plan, : Is it?: - a government-sponsored plan - an employer-sponsored benefit plan - a plan sponsored through an association such as a union, trade association or student organization - other, such as your own private plan purchased from an insurance company 2. International Health Policy Survey, Commonwealth Fund In addition to government funded health services, are you currently covered by any private health insurance that you or your family pays for or that an employer or association provides?

Methods 1.Data visualization (i.e., lots of graphs) 2.Logistic regressions to examine individual characteristics associated with the odds of reporting supplemental drug insurance coverage. Because the parameters of non-linear models are inconsistent, we tested for the presence of heteroskedasticity and rejected the null hypothesis of homoscedasticity. We then estimated maximum-likelihood heteroskedastic probit models; - we found no qualitatively important differences between these models and logistic regression models.

Results, self-reported drug insurance coverage, - Overall Public Private Age 12 to 24 Age 25 to 64 Age 65 and above Source: Canadian Community Health Surveys, Statistics.

Results, self-reported drug insurance coverage, - by self-reported health status, 25-64 years old Excellent, very good or good self-reported health Fair or poor self-reported health Overall Public Private Source: Canadian Community Health Surveys, Statistics.

Results, self-reported drug insurance coverage, - by self-reported health status, 65+ years old Excellent, very good or good self-reported health Fair or poor self-reported health Overall Public Private Source: Canadian Community Health Surveys, Statistics.

Results, self-reported drug insurance coverage, - by household income, 25-64 years old 1st quintile 2nd quintile 3rd quintile 4th quintile 5th quintile Overall Public Private Source: Canadian Community Health Surveys, Statistics.

Results, self-reported drug insurance coverage, - by household income, 65+ years old 1st quintile 2nd quintile 3rd quintile 4th quintile 5th quintile Overall Public Private Source: Canadian Community Health Surveys, Statistics.

Results, self-reported drug insurance coverage, - by education, 25-64 years old High school or less Trade, college/cegep or university below the bachelor's level University bachelor's degree or higher Overall Public Private Source: Canadian Community Health Surveys, Statistics.

Results, self-reported drug insurance coverage, - by education, 65+ years old High school or less Trade, college/cegep or university below the bachelor's level University bachelor's degree or higher Overall Public Private Source: Canadian Community Health Surveys, Statistics.

Results, characteristics associated with the odds of reporting drug insurance coverage household income and education, 25-64 years old* Overall Public Private Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI Adj. hh income (ref: 1st decile) 2nd decile 1.16* 1.00,1.36 0.51*** 0.44,0.59 2.27*** 1.92,2.67 3rd decile 1.39*** 1.19,1.62 0.31*** 0.26,0.36 3.55*** 3.02,4.18 4th decile 2.26*** 1.91,2.67 0.25*** 0.21,0.30 6.16*** 5.23,7.25 5th decile 3.12*** 2.66,3.66 0.20*** 0.16,0.24 8.64*** 7.36,10.14 6th decile 3.75*** 3.16,4.45 0.15*** 0.13,0.18 11.20*** 9.47,13.24 Clear positive SES gradients in private coverage; Clear negative SES gradients in public coverage; Overall, lower SES individuals had lower odds of reporting drug insurance coverage. 7th decile 4.73*** 3.97,5.63 0.15*** 0.13,0.18 13.25*** 11.21,15.65 8th decile 5.07*** 4.28,6.00 0.15*** 0.12,0.18 13.95*** 11.86,16.41 9th decile 6.31*** 5.33,7.49 0.12*** 0.10,0.14 18.40*** 15.62,21.67 10th decile 5.85*** 4.91,6.96 0.13*** 0.11,0.15 16.64*** 14.08,19.68 Education (ref: high school ) Some post-secondary, < bachelor's level 1.24*** 1.13,1.35 0.79*** 0.72,0.86 1.42*** 1.31,1.53 Bachelor's degree or above 1.37*** 1.24,1.52 0.71*** 0.63,0.80 1.64*** 1.50,1.80 * Controlling for province, age, sex, self-reported health status and chronic diseases and imputed income.

Results, characteristics associated with the odds of reporting drug insurance coverage household income and education, 65+ years old* Overall Public Private Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI Adj. hh income (ref: 1st decile) 2nd decile 1.03 0.85,1.25 0.94 0.78,1.13 1.40*** 1.09,1.80 3rd decile 1.32*** 1.08,1.61 0.82** 0.68,0.99 2.51*** 1.98,3.18 4th decile 1.50*** 1.21,1.86 0.73*** 0.61,0.89 3.61*** 2.85,4.57 5th decile 1.91*** 1.51,2.42 0.63*** 0.52,0.77 5.11*** 4.01,6.50 6th decile 2.32*** 1.84,2.93 0.71*** 0.57,0.88 5.31*** 4.12,6.85 7th decile 2.59*** 2.00,3.34 0.65*** 0.53,0.80 7.38*** 5.74,9.49 Clear positive SES gradients in private coverage; Clear negative SES gradients in public coverage; Overall, lower SES individuals had lower odds of reporting drug insurance coverage. 8th decile 2.61*** 1.97,3.46 0.54*** 0.43,0.66 8.10*** 6.31,10.42 9th decile 2.46*** 1.86,3.25 0.52*** 0.42,0.65 8.18*** 6.30,10.62 10th decile 2.51*** 1.89,3.31 0.52*** 0.41,0.66 7.79*** 5.93,10.22 Education (ref: high school ) Some post-secondary < bachelor's level 1.11* 0.99,1.24 0.94 0.86,1.04 1.27*** 1.15,1.40 Bachelor's degree or above 1.36*** 1.16,1.60 0.97 0.85,1.09 1.61*** 1.42,1.83 * Controlling for province, age, sex, self-reported health status and chronic diseases and imputed income.

Results, characteristics associated with the odds of reporting drug insurance coverage self reported health and chronic diseases* 25-64 yrs old Overall Public Private Self-reported health (ref: exellent/very good) Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI Good 0.95 0.87,1.04 1.16*** 1.05,1.28 0.90** 0.83,0.98 Fair 1.05 0.91,1.22 2.18*** 1.89,2.51 0.62*** 0.55,0.69 Poor 1.74*** 1.38,2.19 3.55*** 2.93,4.29 0.57*** 0.47,0.68 Chronic diseases 1.42*** 1.30,1.55 1.54*** 1.40,1.69 1.10*** 1.02,1.19 65+ yrs old Overall Public Private Public plans predominantly covered those in poorer health; Private plans predominantly covered those in good health; Overall, among adults aged 25-64, individuals who selfreported poor health and/or chronic diseases had higher odds of reporting drug insurance coverage. Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI Self-reported health (ref: excellent/very good) Good 1.00 0.88,1.12 1.13** 1.03,1.25 0.88** 0.80,0.98 Fair 0.99 0.84,1.15 1.26*** 1.11,1.44 0.74*** 0.65,0.85 Poor 1.14 0.91,1.43 1.48*** 1.20,1.81 0.70*** 0.55,0.87 Chronic diseases 1.43*** 1.26,1.62 1.39*** 1.25,1.54 1.03 0.91,1.15 * Controlling for household income, education, province, age, sex and imputed income.

Results, self-reported drug insurance coverage, 2005- Ontario, by household income 1st quintile 2nd quintile 3rd quintile 4th quintile 5th quintile 2005 2006 2005 2006 2005 2006 Overall Public Age 12 to 24 Private 2005 2006 115.5 2005 2006 2005 2006 115.5 Overall Public Age 25 to 64 Private 2005 2006 2005 2006 2005 2006 Overall Source: Canadian Community Health Surveys, Statistics. Public Age 65 and above Private

Results, characteristics associated with the odds of reporting drug insurance coverage Ontario, time effects 25-64 yrs old Overall Public Private Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI Year (ref: 2005) 0.95 0.86,1.04 1.04 0.88,1.22 0.94 0.86,1.03 1.01 0.91,1.11 1.23*** 1.05,1.44 0.92 0.84,1.02 0.94 0.85,1.05 1.22** 1.05,1.41 0.89** 0.80,0.98 65+ yrs old Overall Public Private Odds ratio 95% CI Odds ratio 95% CI Odds ratio 95% CI Among those aged 25-64, respondents had higher odds of reporting public drug coverage in, and, relative to 2005; and, lower odds of reporting private drug coverage; Among those aged 65+, respondents had higher odds of reporting public drug coverage in, and, relative to 2005. Year (ref: 2005) 1.45*** 1.25,1.68 1.47*** 1.31,1.65 1.09 0.96,1.23 1.25*** 1.07,1.44 1.25*** 1.11,1.39 1.1 0.98,1.23 1.31*** 1.13,1.52 1.42*** 1.27,1.59 1.07 0.95,1.21 * Controlling for household income, education, province, age, sex, self-reported health status and chronic diseases and imputed income.

Results, self-reported private insurance coverage, - by household income, International Health Policy Survey Below Average Average Above Average Age 25 to 64 Age 65+ Source: International Health Policy Surveys, The Commonwealth Fund.

Results, self-reported private insurance coverage, - by household income, International Health Policy Survey Excellent, very good or good self-reported health Fair or poor self-reported health Age 25 to 64 Age 65+ Source: International Health Policy Surveys, The Commonwealth Fund.

Limitations and next steps Limitations 1. Measurement problem: self-reported insurance coverage actual coverage 2. International Health Policy Survey, Commonwealth Fund private insurace only; not specific to drugs; small sample size 3. Association, not causation difficult to comment on risk selection (adverse selection, cream skimming) and targeting (provincial governments intentionally targeting sicker individuals) Next steps 1. Factors associated with mis-reported public insurance coverage.

Key messages 1.Positive SES gradients in private coverage; 2.Negative SES gradients in public coverage; 3.Public plans more likely to cover the sick; 4.Private plans more likely to cover the healthy; 5.In Ontario, some evidence that public coverage has gradually supplanted private coverage over the past decade; 6.Measurement matters

Contacts Commends: Elaine elainexiaoyu.guo@mail.utoronto.ca Emmanuel emmanuel.guindon@mcmaster.ca Concerns/criticisms: Arthur arthur.sweetman@mcmaster.ca