| Literature DB >> 29483027 |
Danielle Martin1, Ashley P Miller2, Amélie Quesnel-Vallée3, Nadine R Caron4, Bilkis Vissandjée5, Gregory P Marchildon6.
Abstract
Access to health care based on need rather than ability to pay was the founding principle of the Canadian health-care system. Medicare was born in one province in 1947. It spread across the country through federal cost sharing, and eventually was harmonised through standards in a federal law, the Canada Health Act of 1984. The health-care system is less a true national system than a decentralised collection of provincial and territorial insurance plans covering a narrow basket of services, which are free at the point of care. Administration and service delivery are highly decentralised, although coverage is portable across the country. In the setting of geographical and population diversity, long waits for elective care demand the capacity and commitment to scale up effective and sustainable models of care delivery across the country. Profound health inequities experienced by Indigenous populations and some vulnerable groups also require coordinated action on the social determinants of health if these inequities are to be effectively addressed. Achievement of the high aspirations of Medicare's founders requires a renewal of the tripartite social contract between governments, health-care providers, and the public. Expansion of the publicly funded basket of services and coordinated effort to reduce variation in outcomes will hinge on more engaged roles for the federal government and the physician community than have existed in previous decades. Public engagement in system stewardship will also be crucial to achieve a high-quality system grounded in both evidence and the Canadian values of equity and solidarity.Entities:
Mesh:
Year: 2018 PMID: 29483027 PMCID: PMC7138369 DOI: 10.1016/S0140-6736(18)30181-8
Source DB: PubMed Journal: Lancet ISSN: 0140-6736 Impact factor: 79.321
Figure 1Overview of the Canadian health system
Adapted from 2, 3.
Canada versus OECD comparators by indicators of the Triple Aim
| Population | 35·85 million | 321·4 million | 65·14 million | 66·81 million | 5·68 million | 23·78 million |
| Landmass (km2) | 9·985 million | 9·834 million | 0·242 million | 0·644 million | 0·043 million | 7·692 million |
| Average population density per km2 | 3·6 | 32·6 | 269·2 | 103·8 | 132·1 | 3·1 |
| Urban population | 82% | 82% | 83% | 80% | 88% | 90% |
| Foreign-born population | 21·9% | 13·1% | 12·3% | 11·7% | 8·5% | 27·6% |
| Human Development Index (global rank) | 0·920 (10) | 0·920 (10) | 0·910 (12) | 0·897 (21) | 0·925 (5) | 0·939 (2) |
| Gini coefficient of income inequality | 0·313 | 0·390 | 0·360 | 0·297 | 0·256 | 0·337 |
| Population aged <15 years | 16% | 19% | 18% | 18% | 17% | 19% |
| Population aged >65 years | 17% | 15% | 18% | 19% | 19% | 15% |
| Fertility rate (children per woman) | 1·6 | 1·8 | 1·8 | 1·9 | 1·7 | 1·8 |
| Life expectancy at birth (years; global rank) | 82·14 (14) | 79·16 (38) | 80·78 (28) | 82·26 (13) | 80·35 (32) | 82·50 (9) |
| Health-adjusted life expectancy at birth (years; global rank) | 72·3 (11) | 69·1 (51) | 71·4 (23) | 72·6 (9) | 71·2 (26) | 71·9 (16) |
| Amenable mortality by HAQ Index | 87·6 | 81·3 | 84·6 | 87·9 | 85·7 | 89·8 |
| 30-day acute myocardial infarction mortality | 6·7% | 5·5% | 7·9% | 7·1% | 6·3% | 4·4% |
| Under-5 mortality per 1000 | 4·9 | 6·5 | 4·2 | 4·3 | 3·5 | 3·8 |
| Population overweight or obese | 60·3% | 70·1% | 62·9% | 52·7% | 54·4% | 63·6% |
| Population daily smokers | 14·0% | 12·9% | 19·0% | 22·4% | 17·0% | 12·4% |
| Leading cause of death | Cancer | Heart disease | Cancer | Cancer | Cancer | Heart disease |
| Average length of hospital stay (days) | 7·5 | 5·4 | 6·0 | 5·8 | 3·5 | 4·7 |
| Caesarean sections per 1000 births | 259 | 322 | 252 | 208 | 212 | 340 |
| Hospital beds per 10 000 | 27 | 28 | 27 | 62 | 27 | 38 |
| Physicians per 1000 | 2·477 | 2·554 | 2·806 | 3·227 | 3·648 | 3·374 |
| Physician generalists | 47·19% | 11·92% | 28·72% | 46·72% | 19·61% | 45·01% |
| Nurses per 1000 | 10·8 | 11·2 | 8·2 | 9·7 | 18·2 | 12·7 |
| Proportion reporting difficulty accessing after-hours care | 63% | 51% | 49% | 64% | NA | 44% |
| Proportion reporting wait >2 months for specialist appointment | 30% | 6% | 19% | 4% | NA | 13% |
| Proportion reporting wait >4 months for elective surgery | 18% | 4% | 12% | 2% | NA | 8% |
| Proportion reporting cost-related access barriers | 16% | 33% | 7% | 17% | NA | 14% |
| Proportion reporting use of emergency services in past 2 years | 41% | 35% | 24% | 33% | NA | 22% |
| Proportion reporting use of emergency given lack of access to regular medical doctor | 17% | 16% | 7% | 7% | NA | 6% |
| Total health expenditure per GDP | 10·4% | 17·1% | 9·1% | 11·5% | 10·8% | 9·4% |
| Total health expenditure per capita (PPP) | 4641 | 9403 | 3377 | 4508 | 4782 | 4357 |
| Total publicly financed health expenditure | 70·9% | 48·3% | 83·1% | 78·2% | 84·8% | 67·0% |
| Total health expenditure out of pocket | 13·6% | 11·0% | 9·7% | 6·3% | 13·4% | 18·8% |
| Total health expenditure on pharmaceuticals | 17·5% | 12·3% | 12·1% | 14·7% | 6·8% | 14·4% |
| Pharmaceutical cost per capita (US$) | 786 | 1112 | 497 | 668 | 342 | 617 |
| Average general practitioner income (PPP) | 140 617·66 | 176 000·00 | 78 932·65 | NA | NA | 96 015·97 |
| Average specialist income (PPP) | 230 291·66 | 265 000·00 | 161 794·37 | 95 162·75 | 139 248·35 | 208 107·93 |
| Average nurse salary (PPP) | 55 259·93 | 70 610·00 | 49 948·20 | 41 161·50 | 58 364·26 | 62 919·14 |
| Health technology assessment agency | Canadian Agency for Drugs and Technology | No centralised federal agency | National Institute for Health and Care Excellence | Haute Authorité de Santé | Danish Centre for Health Technology Assessment | Pharmaceutical Benefits Advisory Committee |
OECD=Organisation for Economic Co-operation and Development. HAQ=Health Access and Quality. NA=not available. GDP=gross domestic product. PPP=purchasing power parity.
Data from World Bank Data Portal.
Data from OECD Data.
Data from United Nations Development Program: Human Development Reports.
Data from OECD Income Distribution Database.
Data from Index Mundi.
Data from WHO Global Health Observatory Data.
Data from reference 13.
Data from OECD.Stat.
Data from HiT reports.
Data from 2016 Commonwealth Fund International Health Policy Survey.
Medscape Physician Compensation Report, 2013.
Figure 2Population density and distribution of hospitals in Canada (and the UK)
The map shows the population density and wide geographical distribution of health-care delivery. For comparison, a map of the distribution of hospitals in the UK is shown inset. Hospital data for Canada are from DMTI Spatial, 2016, and population data for Canada are from Statistics Canada, 2016. UK hospital data are from the National Health Service, 2016, and UK population data are from Eurostat.
Figure 3Map of Canada by country of birth
The map illustrates the population density and the proportion of provincial populations based on country of birth. For comparison, a map of the UK by country of birth is shown inset. Population data for Canada are from Statistics Canada, 2012, and population data for the UK are from the UK Office of National Statistics, 2016.