1 / 26

Manitoba Centre for Health Policy and Evaluation

Comparative Indicators of Health and Health Care Use for Manitoba’s Regional Health Authorities: A POPULIS Report. Rural and Northern Health Care Meeting November 1, 1999 SESSION II: KEY CONCEPTS Speaker: Patricia Martens PhD. Manitoba Centre for Health Policy and Evaluation

ahn
Download Presentation

Manitoba Centre for Health Policy and Evaluation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Comparative Indicators of Health and Health Care Use for Manitoba’s Regional Health Authorities: A POPULIS Report Rural and Northern Health Care Meeting November 1, 1999 SESSION II: KEY CONCEPTS Speaker: Patricia Martens PhD Manitoba Centre for Health Policy and Evaluation Department of Community Health Sciences, University of Manitoba

  2. Getting a “gut feel” • Age structure? • Major disease concerns? • Need, physicians, acute care, long term care?

  3. Fill out the “profile” for later use.

  4. Baseline information • 1996/1997 data compares inter-regionally and within each region • baseline for comparing impact of RHA Board initiatives

  5. The people of your region • Population pyramids: age and gender pictures

  6. Age Structure of Manitoba Population 1,136,249 Years Females Males 100+ 90-94 Treaty Indians 80-84 All Others 70-74 60-64 50-54 40-44 30-34 20-24 10-14 0-4 -8% -6% -4% -2% 0% 2% 4% 6% 8%

  7. Age Structure

  8. 1995/96 Population By Age(page 129 of the document)

  9. The geography of your region • Subdivisions … what’s a PSA? • Physician service area (see page 135 for list and associated RMs) • typically consist of towns in which physicians practice, plus smaller nearby communities and districts whose residents seek care from these physicians

  10. The healthiness of your region • PMR = premature mortality rate • SERI = socio-economic risk index • life expectancy

  11. PMR(page 70-71 of document) • best single indicator of health status capturing the need for health care • associated with self-reported health • high PMR … more likely to report … • poor health • higher number of symptoms • being sick more often • death before the age of 75, ie, “premature”

  12. So what’s the meaning of * • “statistically significantly different” • number of people in RHA or PSA may cause year-to-year fluctuations • * = a similar difference would probably be seen from one year to the next

  13. Premature Mortality Rates by RHA * South Eastman Most healthy * South Westman * Brandon Central Marquette Parkland Winnipeg North Eastman Interlake Least healthy * Burntwood * Norman ? Churchill Manitoba 0 1 2 3 4 5 6 7 Death rate per 1,000 population 0-74 years

  14. SERI(page 68-69) • Composite index of 6 measures (from 23) • environmental, household, individual conditions (employment rates, single parent families, educational achievement, household dwelling value, participation of females in labour force) • risk for poor health • associated with higher need for health care

  15. Socio-Economic Risk Index North Eastman lower risk Springfield higher risk East Lake Winnipeg -0.5 0 0.5 1 1.5 2 Manitoba average

  16. Disease profiles/procedures • Adjusted rates: • disease burden: diabetes, hypertension, cancer • high profile procedures: cardiac catheterizations, coronary artery bypass surgery, angioplasty, hip and knee replacements, cataract surgery, prostatectomy • discretionary procedures: tonsillectomy, hysterectomy, caesarian section rates • Crude rates (one age bracket): • immunization, screening mammography

  17. *Which population is “sicker” … A or B? *What is a fair comparison? A B 50 200 10 sick 3 sick 150 250 10 sick 15 sick 300 300 3 sick 10 sick 500 250 5 sick 0 sick Crude rate: 28 per 1000 28 per 1000

  18. Adjusted vs. crude rates (cont’d) A B 50 (6%) = 12 of the 200 200 10 sick 3 sick 150 250 (6.7%) = 16.7 of the 250 10 sick 15 sick 300 (3.3%) = 10 of 300 300 10 sick 3 sick 500 250 (1%) = 2.5 of 250 0 sick 5 sick Crude rate: 28 per 1000 28 per 1000 Adjusted rate of A is 41.2 per 1000 (adjusted to population B)

  19. Adjusted and Crude Rates: example of Burntwood (per 1000 residents)

  20. Adjusted versus Crude Rates • When is “adjusted” helpful? (charts) • fair comparisons between regions • adjusted for age and gender • When is “crude” helpful? (appendix 2) • how many people actually have the given condition (multiply crude rate by regional population)

  21. Comparisons • Most charts • Winnipeg, Non-Winnipeg, Manitoba • “Manitoba” is largely affected by Winnipeg • “Non-Winnipeg” is largely affected by Brandon • developed a “rural average” profile • excludes Winnipeg, Brandon, Churchill • summarizes “need”, “physicians”, “acute care”, and “long term care for 75+”

  22. Example of a rural profile • comparison of using different “yardsticks”

  23. Profile of South Westman - compared to rural average (page 43) * NEED * * PHYSICIANS * ACUTE CARE LONG-TERM CARE Rural Average

  24. Profile of South Westman - compared to Manitoba average NEED PHYSICIANS Much lower than Winnipeg ACUTE CARE Much lower than Winnipeg LONG-TERM CARE Manitoba Average

  25. Interpreting YOUR data • Group session with RHAs and facilitators • Computer session in the afternoon • Section 4 “Interpreting the data for local use” is a guide (pages 20 to 33) • the people, their healthiness, disease profiles, prevention, use of physicians, hospitals and PCHs, level of access to high profile and discretionary procedures, a profile of your region • between and within RHAs

More Related