measuring health equity initial implementation of patient demographic data collection
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Measuring Health Equity: Initial Implementation of Patient Demographic Data Collection. Equity: A Core Component of Quality TC LHIN emphasis on “Health Equity Vision”. TC LHIN is committed to including equity dimensions and objectives in quality healthcare planning TC LHIN aims to:

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equity a core component of quality tc lhin emphasis on health equity vision
Equity: A Core Component of QualityTC LHIN emphasis on “Health Equity Vision”
  • TC LHIN is committed to including equity dimensions and objectives in quality healthcare planning
  • TC LHIN aims to:

“create and sustain a healthcare system in Toronto where all have equitable access to a full range of high-quality healthcare and support, and systemic and avoidable health inequities are steadily reduced”1

tclhin supports patient level demographic data collection
TCLHIN Supports Patient Level Demographic Data Collection
  • TC LHIN recognizes that tracking and addressing health (in)equity necessitates adopting robust demographic data systems
  • TCLHIN has mandated patient level demographic data collection in hospitals
    • Target date for the initial implementation of demographic data collection: March 2013
equity a core component of quality
Equity: A Core Component of Quality
  • The American Institute of Medicine identifies the six pillars of quality healthcare as: efficiency, effectiveness, safety, timeliness, patient-centeredness, and equity2
  • Equity is necessary condition for a “Culture of Quality” in hospitals3
  • Unchecked inequity leads to increased pressure on hospital services, avoidable future costs, and reduced productivity4
  • Disparities in health care have an impact on quality, safety, cost, and risk management5
equity a core component of quality implications of inequity for canadians
Equity: A Core Component of QualityImplications of inequity for Canadians
  • Equity-relevant variables such as income and race matter more than health behaviour in determining Canadians’ health outcomes6
  • Children from low-income families require more hospital stays and show increased vulnerability to various illnesses, accidental injuries and mental health problems7
  • Living conditions, age, income, immigrant status, and race are a few of the social factors shown to significantly affect diabetes, cardiovascular disease, mental health, and self-reported health (see figure on next slide)8
slide6

Figure: Age-standardized prevalence of diabetes among urban-dwelling immigrants*, by sex and world region of birth, and among urban-dwelling long-term residents^ in Ontario (2005)

* Granted residency status in Canada between 1985-2000

^ Canadian-born residents and people granted permanent residence prior to 1985

Source: Bierman, A. S. et al. (2012). Social determinants of health and populations at risk. Ontario Women’s Health Equity Report: Improving Health & Promoting Health Equity in Ontario

why collect demographic data
Why Collect Demographic Data?
  • Strengthen patient-centered care by using data to:
    • Provide information about the prevalence of specific conditions and outcomes in particular groups
    • Determine the composition of the community being served
    • Ensure health care serves individual needs
    • Ensure services are reaching all of the community effectively
    • Use data to evaluate and track programs and services
  • Demographic data is a necessary condition for monitoring equity and fulfilling health equity plans
perceived challenges
Perceived Challenges
  • Collection of information is illegal
  • Patients won’t want to provide information
  • Process will take too long, impede registration
  • Adapting IT systems to collect info costly
  • Uncertain how information will be used
vision for project
Vision for project
  • Foster an organization-wide culture that is committed to equity as a key element of quality care
  • Promote demographic data collection as a strategy for achieving equity in healthcare
  • Introduce support structures for sustainable and standardized demographic data collection:
    • Support the creation of a steering committee composed of inter-professional expertise and responsible for overseeing data collection
    • Support staff through the development and implementation of initial demographic data collection
references and further reading
References and Further Reading
  • Gardner, B. (2008). Health Equity Discussion Paper . Toronto Central LHIN
  • Institute of Medicine, Committee on Quality of Health Care in America, IOM (2002). Crossing the Quality Chasm . Washington, DC: National Academy Press
  • ibid
  • Marmot, M., Shipley, M., Brunner, E., & Hemingway, H. (2001). Relative contribution of early life and adult socioeconomic factors to adult morbidity in the Whitehall II study. Journal of Epidemiology and Community Health, 55, 301-307
  • Betancourt, J. R., Green, A. R., King, R. R., Tan-McGory, A., Cervantes, M., and Renfrew, M. (2009, February). Improving Quality and Achieving Equity: A Guide for Hospital Leaders. The Disparities Solutions Centre, Massachusetts General Hospital
  • Benzeval, M., Dilnot, A., Judge, K., & Taylor, J. (2001). Income and health over the lifecourse: Evidence and policy implications. In H. Graham (Ed.), Understanding Health Inequalities (pp. 96-112). Buckingham, UK: Open University Press.
  • Canadian Institute on Children\'s Health. (2000). The Health of Canada\'s Children: A CICH Profile 3rd Edition. Ottawa, Canada: Canadian Institute on Children\'s Health
  • Bierman, A. S. et al. (2012). Social determinants of health and populations at risk. Ontario Women’s Health Equity Report: Improving Health & Promoting Health Equity in Ontario.
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