measuring health outcomes: capturing complexity
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Measuring Health Outcomes: Capturing Complexity. NatStats Conference 2008 Dr Penny Allbon Director AIHW. The complexity is growing. How is the information environment responding. Indicators explosion Data sets explosion. Linked data sets growing Ehealth looming - PowerPoint PPT PresentationTRANSCRIPT
Measuring Health Outcomes:
Capturing Complexity
Measuring Health Outcomes:
Capturing Complexity
NatStats Conference 2008
Dr Penny AllbonDirector
AIHW
NatStats Conference 2008
Dr Penny AllbonDirector
AIHW
Australian Institute of Health and Welfare
The complexity is growingThe complexity is growing
Australian Institute of Health and Welfare
How is the information environment respondingHow is the information environment responding
Indicators explosion
Data sets explosion
Australian Institute of Health and Welfare
Linked data sets growing
Ehealth looming
Personal record control emerging
Australian Institute of Health and Welfare
key drivers for measuring health outcomes into the futurekey drivers for measuring health outcomes into the future
Assess how healthy we are and how this is changing – monitoring and surveillancethe holy grail of attribution (health research)the drive for effectiveness and efficiency of servicesImprove the outcomes of care and treatmentthe individual’s desire to better understand and control their own health
Australian Institute of Health and Welfare
Australia compares well among OECD
Australia compares well among OECD
Australian Institute of Health and Welfare
Broad cause mortality trends, AustraliaBroad cause mortality trends, Australia
Australian Institute of Health and Welfare
Leading burdens of
disease
Leading burdens of
disease
Australian Institute of Health and Welfare
Source: AIHW & University of Queensland
0 100 200 300 400 500
Malignant neoplasms
Cardiovascular disease
Mental disorders
Nervous system
Respiratory
Injuries
Diabetes mellitus
Musculoskeletal diseases
Other
DALYs ('000)
Unavoidable
Burden due to 14 riskfactors (a)
Other treatable orpreventable (b)
Burden of disease in 2003 by major disease group, subdivided into that portion mostly unavoidable, that portion due to 14 burden of disease risk factors, and other treatable or preventable burden
Burden of disease in 2003 by major disease group, subdivided into that portion mostly unavoidable, that portion due to 14 burden of disease risk factors, and other treatable or preventable burden
Australian Institute of Health and Welfare
Projected health expenditure ($ billion 2003 prices)Projected health expenditure ($ billion 2003 prices)
2003 2033 ChangeDiabetes 1.4 7.0 401%
Dental 5.1 12.4 144%
Cardiovascular 7.9 16.2 105%
Mental 4.3 8.5 97%
Cancer 2.8 5.2 84%
Injuries 5.6 9.4 67%
Maternal 1.78 2.5 41%
Total 71.4 162.3 127%
Australian Institute of Health and Welfare
What’s the impact of obesity?What’s the impact of obesity?Australia experienced significant increases in obesity in the 2 decades to 2003 when heart disease was declining
From the Harvard Nurses study we might conclude that
increasing BMI means coronary heart disease is decreasing at a slower rate than it would otherwise.
Australian Institute of Health and Welfare
Cancer survival improvingCancer survival improving
Australian Institute of Health and Welfare
Cancer Data ImprovementCancer Data ImprovementCancer Data Clearing House (AIHW) Maintenance function - Improving consistency, keeping up-to-date, reporting
Safety &quality– volume/outcomes analysis?
Recording data on the staging of cancer
Outpatients – chemotherapy, radiotherapy. Slow, can this be given priority?
Australian Institute of Health and Welfare
Potentially preventable hospitalisations (PPH) by remoteness of patient, 2005–06 Potentially preventable hospitalisations (PPH) by remoteness of patient, 2005–06
0
10
20
30
40
50
60
70
80
Major cities Inner regional Outerregional
Remote Very remote
PP
H p
er 1
,000
Vaccine-preventable
Acute
Chronic
Australian Institute of Health and Welfare
Push the basicsPush the basics
Keep basic order and cooperation – standards, business rules, frameworks, metadata expansion Common concepts and definitions
Australian Institute of Health and Welfare
Facilitate re-useFacilitate re-use
Working together and coordinating effort – within a collaborative frameworkCentral portal of what’s available? Use of Clearing Houses?
Australian Institute of Health and Welfare
Think about prioritiesThink about priorities
Do we need a process to prioritize the information requirements for the health outcomes agenda?
Australian Institute of Health and Welfare
Balance privacy/access Balance privacy/access
Be pro-active in educating the public about the usefulness of the information
Australian Institute of Health and Welfare
More data linkageMore data linkage
continue to build the capacity to link data – securely and without scaring the horses.
From stovepipes to integrated systems
Australian Institute of Health and Welfare
Exploit ehealth wellExploit ehealth well
Get the statistical capacity of ehealth set up for maximum benefit
Statistical purposeInformation for analytical purposes including public healthand policy planning, safetyinitiatives, disease detection,research and education
Statistical benefitsBetter planning and demandmanagementBetter epidemiology and publichealth
Australian Institute of Health and Welfare
Clinician or coder raises a terminology or rule-based record
Machine coding according to maps
Unit records withcoded values
Clinician raises a natural language and/or form-based record
Human coding assisted by guidelines
Aggregate reportseg. NMDS,
device registry,patient records
possibly linked by IHI with consent
Patient (IHI) interacts with clinician
Information for research and analysis: hybrid
Map
Map
Classifications
Terminology
Australian Institute of Health and Welfare
Simple truths for a complex worldSimple truths for a complex world
Profile
Institutional strength
Expertise