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Breast Cancer Survival inBreast Cancer Survival in
Ontario, 1985 to 2005Ontario, 1985 to 2005
Evidence of Equitable Advances
Across Most Diverse
Urban and Rural Places
Co-InvestigatorsCo-Investigators
Karen Fung, Madhan Balagurusamy and Aziz Mohammad,
Biostatisticians, University of Windsor, Ontario
Isaac Luginaah and Kathy Tang, Geographers,
University of Western Ontario
Emma Bartfay, Epidemiologist and Biostatistician,
University of Ontario Institute of Technology
Caroline Hamm and Frances Wright, Oncologists, Windsor Regional
Cancer Center and Sunnybrook Health Sciences Center,
Toronto, Ontario
Eric Holowaty, Senior Scientist, Cancer Care Ontario
Why study breast cancer? It’s aWhy study breast cancer? It’s a
sentinelsentinel health care quality indicator.health care quality indicator.
Relatively common over the life course
Effective screens (including primary care) and
treatments exist.
Timely diagnosis and access to the best available
treatments matter.
Excellent prognoses expected: Long survival & high
quality of survivable life
Historical-Political CanadianHistorical-Political Canadian
Context: Past 20 YearsContext: Past 20 Years
Significant uptake and advancement of breast cancer
screening and increasingly effective treatments
Anecdotes about Canadian health care failures abound.
• Long waits
• Scare resources (physicians & equipment)
Some surveys have suggested increasing dissatisfaction with
the health care system.
Political rhetoric advocating for ‘American-like’ private
enterprise solutions to such woes has become prevalent.
Historical-Scientific Context inHistorical-Scientific Context in
Ontario: Past 20 YearsOntario: Past 20 Years
Mid-1980s to early-1990s: Series of metropolitan analyses
• No observed SES-breast cancer survival gradients
• 2 later studies equivocal: 1 significant, 1 null
• Has socioeconomic equity been maintained?
Later-1980s to mid-1990s: Province wide analyses
• Small SES-breast cancer survival gradients observed
• Very diverse places are lumped together though.
• Where are there survival disadvantages?
Research QuestionsResearch Questions
Given the significant improvement in breast cancer
survival during the past generation:
1. Has this medical advance been enjoyed
equitably by women across Ontario’s diverse
places: very small to very large cities, towns
and villages, and rural and remote places?
2. Can personal income levels explain any
observed place disadvantages?
MethodsMethods
Comparison of Historical Cohorts:
Mid-1990s Followed to 2005
Versus
Mid-1980s Followed to 1995
Sample DesignSample Design
Ontario Cancer Registry
• 98% complete
• Very high demonstrated validity
29,934 women, 25 years of age and older with
primary invasive breast cancer
Places defined by Statistics & Health Canada
• Income measure: Census tract prevalence of
low-income households
Place Definitions:Place Definitions:
PlacePlace PopulationPopulation
City of Toronto 2.5 million
Remainder GMT 2.5 million
Large cities 500,000 to 1 million
Mid-sized cities 250,000 to 499,999
Small cities 100,000 to 249,999
Very small cities 50,000 to 99,999
Towns & villages 10,000 to 49,999
Rural < 10,000 & < 400/km2
Remote 100-199 km from city
Very remote 200-299 km from city
Extremely remote 300+ km from city
Results
5-Year Breast5-Year Breast
CancerCancer
PlacePlace Survival AdvanceSurvival Advance
(%)(%)City of Toronto 19
Other GMT 22
Large cities 20
Mid-size cities 23
Small cities 18
Very small cities (6%) 11
Towns & villages 22
Rural 16
Remote 17
Very remote 14
Extremely remote (< 1%) 51
Two More Exemplary FindingsTwo More Exemplary Findings
1980s Greater Metropolitan Toronto
• Complete absence of income gradient
• Matchless in worldwide public health annals
1990s Extremely Remote Areas of Ontario
• Absence of income gradient
• Survival experience similar to Toronto’s
Both demonstrations of equity stand in stark
contrast to contemporaneous findings in
similar US places.
Discussion
Summary/ConclusionSummary/Conclusion
Women with breast cancer in nearly all of Ontario’s
diverse places have equitably enjoyed
contemporary survival advances.
Small inequities seem unrelated to personal
economic resources.
The most likely explanation for such remarkably
equitable advances seems to be Canada’s
single-payer, universally accessible health care
system.
Community Resources: Health CareCommunity Resources: Health Care
Service Endowments in AreasService Endowments in Areas
What may account for the observed patterns of
relatively better or worse survival
advancements in certain places?
Extremely remote areas (1%)
• Cancer Care Ontario instituted screening and
treatment outreach in remote areas in 1990s
Small cities (6%)
• Advocates have suggested long waits
secondary to resource problems
(physicians & equipment)
Our Group’s Future ResearchOur Group’s Future Research
International Cancer Care Database (under construction)
• Diverse places in California & Ontario
• Breast & colon cancer
• Retrospective & prospective, 1985 to 2010
• Personal & community resources
• Wait times
• Primary care and specialist physician supplies
• Investigative and treatment equipment
Hypotheses:
• Community resources more predictive in Canada
• Personal resources more predictive in America

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Breast cancer survival in Ontario advances equitably across diverse urban, rural and remote places

  • 1. Breast Cancer Survival inBreast Cancer Survival in Ontario, 1985 to 2005Ontario, 1985 to 2005 Evidence of Equitable Advances Across Most Diverse Urban and Rural Places
  • 2. Co-InvestigatorsCo-Investigators Karen Fung, Madhan Balagurusamy and Aziz Mohammad, Biostatisticians, University of Windsor, Ontario Isaac Luginaah and Kathy Tang, Geographers, University of Western Ontario Emma Bartfay, Epidemiologist and Biostatistician, University of Ontario Institute of Technology Caroline Hamm and Frances Wright, Oncologists, Windsor Regional Cancer Center and Sunnybrook Health Sciences Center, Toronto, Ontario Eric Holowaty, Senior Scientist, Cancer Care Ontario
  • 3. Why study breast cancer? It’s aWhy study breast cancer? It’s a sentinelsentinel health care quality indicator.health care quality indicator. Relatively common over the life course Effective screens (including primary care) and treatments exist. Timely diagnosis and access to the best available treatments matter. Excellent prognoses expected: Long survival & high quality of survivable life
  • 4. Historical-Political CanadianHistorical-Political Canadian Context: Past 20 YearsContext: Past 20 Years Significant uptake and advancement of breast cancer screening and increasingly effective treatments Anecdotes about Canadian health care failures abound. • Long waits • Scare resources (physicians & equipment) Some surveys have suggested increasing dissatisfaction with the health care system. Political rhetoric advocating for ‘American-like’ private enterprise solutions to such woes has become prevalent.
  • 5. Historical-Scientific Context inHistorical-Scientific Context in Ontario: Past 20 YearsOntario: Past 20 Years Mid-1980s to early-1990s: Series of metropolitan analyses • No observed SES-breast cancer survival gradients • 2 later studies equivocal: 1 significant, 1 null • Has socioeconomic equity been maintained? Later-1980s to mid-1990s: Province wide analyses • Small SES-breast cancer survival gradients observed • Very diverse places are lumped together though. • Where are there survival disadvantages?
  • 6. Research QuestionsResearch Questions Given the significant improvement in breast cancer survival during the past generation: 1. Has this medical advance been enjoyed equitably by women across Ontario’s diverse places: very small to very large cities, towns and villages, and rural and remote places? 2. Can personal income levels explain any observed place disadvantages?
  • 7. MethodsMethods Comparison of Historical Cohorts: Mid-1990s Followed to 2005 Versus Mid-1980s Followed to 1995
  • 8. Sample DesignSample Design Ontario Cancer Registry • 98% complete • Very high demonstrated validity 29,934 women, 25 years of age and older with primary invasive breast cancer Places defined by Statistics & Health Canada • Income measure: Census tract prevalence of low-income households
  • 9. Place Definitions:Place Definitions: PlacePlace PopulationPopulation City of Toronto 2.5 million Remainder GMT 2.5 million Large cities 500,000 to 1 million Mid-sized cities 250,000 to 499,999 Small cities 100,000 to 249,999 Very small cities 50,000 to 99,999 Towns & villages 10,000 to 49,999 Rural < 10,000 & < 400/km2 Remote 100-199 km from city Very remote 200-299 km from city Extremely remote 300+ km from city
  • 11. 5-Year Breast5-Year Breast CancerCancer PlacePlace Survival AdvanceSurvival Advance (%)(%)City of Toronto 19 Other GMT 22 Large cities 20 Mid-size cities 23 Small cities 18 Very small cities (6%) 11 Towns & villages 22 Rural 16 Remote 17 Very remote 14 Extremely remote (< 1%) 51
  • 12. Two More Exemplary FindingsTwo More Exemplary Findings 1980s Greater Metropolitan Toronto • Complete absence of income gradient • Matchless in worldwide public health annals 1990s Extremely Remote Areas of Ontario • Absence of income gradient • Survival experience similar to Toronto’s Both demonstrations of equity stand in stark contrast to contemporaneous findings in similar US places.
  • 14. Summary/ConclusionSummary/Conclusion Women with breast cancer in nearly all of Ontario’s diverse places have equitably enjoyed contemporary survival advances. Small inequities seem unrelated to personal economic resources. The most likely explanation for such remarkably equitable advances seems to be Canada’s single-payer, universally accessible health care system.
  • 15. Community Resources: Health CareCommunity Resources: Health Care Service Endowments in AreasService Endowments in Areas What may account for the observed patterns of relatively better or worse survival advancements in certain places? Extremely remote areas (1%) • Cancer Care Ontario instituted screening and treatment outreach in remote areas in 1990s Small cities (6%) • Advocates have suggested long waits secondary to resource problems (physicians & equipment)
  • 16. Our Group’s Future ResearchOur Group’s Future Research International Cancer Care Database (under construction) • Diverse places in California & Ontario • Breast & colon cancer • Retrospective & prospective, 1985 to 2010 • Personal & community resources • Wait times • Primary care and specialist physician supplies • Investigative and treatment equipment Hypotheses: • Community resources more predictive in Canada • Personal resources more predictive in America