A 21st Century Data Strategy for Health and Health Care Surveys: Their Unique Contribution to Improving Health Outcomes and Reducing Disparities Arlene S. Bierman MD MS OWHC Chair in Women’s Health St. Michael’s Hospital, University of Toronto AHRQ Annual Meeting September 29 , 2010
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A 21st Century Data Strategy for Health and Health Care Surveys:
Their Unique Contribution to Improving Health Outcomes and Reducing Disparities
Arlene S. Bierman MD MSOWHC Chair in Women’s Health
St. Michael’s Hospital, University of Toronto
AHRQ Annual MeetingSeptember 29 , 2010
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Health and Health Care SurveysEssential Data for Improving Health Outcomes
Assessing, Improving, and Monitoring• Health System Performance• Population Health• Health Disparities
Identifying• Individuals, Populations, and Communities at Risk
Benchmarking Conducting International Comparisons
3
Health and Health Care SurveysUnique Contributions
Patient Reported Outcomes• Health and Functional Status• Physical and Mental Health
Health Behaviors and Risk Factors Patient Experiences with Care Non-Medical Determinants of Health Health Needs of Diverse Populations
4
Actionable Data for Improvement
The POWER Study (Project for an Ontario Women’s Health Evidence-Based Report) is providing actionable data to help policymakers and providers to improve the health of and reduce inequities among the women of Ontario.
Community-Engaged Research POWER Study Roundtables
– Inform indicator selection and interpretation– Increase uptake of findings
Consumers: representatives of community based organizations and associations
Providers: Clinicians, Hospitals, Community Health Centres
Policymakers: Government, Regional Health Authorities, Public Health, Health Data Agencies
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Overall Population
Women Men
Income
Education Ethnicity
Geography Geography
EthnicityEducation
Income
Assessing Equity
7
Patient Reported Outcomes
8
Age-specific percentage of adults aged > 25 years who reported activities were prevented due to pain or discomfort, by sex and
annual household income, Ontario, 2000/01
26
35
2527
16
27
16
26
15
23
1113
107
11*
18*
0
10
20
30
40
Women 25–64 Women 65+ Men 25–64 Men 65+
Sex and age group (years)
Per
cent
age
(%)
Low income Low er middle income Middle income Higher income
Data source: Canadian Community Health Survey cycle, 1.1
Age-standardized percentage of adults age ≥ 25 with CVD who reported that their current health was somewhat or much worse than
their health one year prior, by sex and annual household income, 2005
9
3531
2728
221920*
33*
0
10
20
30
40
50
Low Lower middle Middle Higher
Annual household income
Per
cent
age
(%)
Women Men
Data source: CCHS, Cycle 3.1 * Interpret with caution due to high sampling variability (coefficient of variation
16.6–33.3)
10
Risk Factors
11
Age-standardized percentage of women aged > 25 who reported health behaviors that increase the risk of chronic
diseases, by education level, Ontario, 2005
6560
55
28
57 5646
26
51 49 46
21
4842
34
8
0
20
40
60
80
100
Physical inactivity* Inadequate fruit andvegetable intake**
Overweight or obese*** Smoking
Education level
Less than secondary school graduation Secondary school graduation
At least some post-secondary school Bachelor's degree or higher
Data source: Canadian Community Health Survey cycle, 3.1 *Physical activity index was less than 1.5 kcal/kg/day** Less than five servings per day***Body Mass Index (BMI) >greater than or equal to 25 (calculated from self-reported height and weight) ^Daily or occasional smokers
12
Age-standardized percentage of adults aged 25 years and older who reported being current smokers,
by sex and ethnicity, Ontario, 2005
39
13
22
43
18 18
25 25
4*5*10*
19*
0
10
20
30
40
50
Aboriginal** Black South and WestAsian, Arab
East andSoutheast Asian
Other*** White
Ethnicity
Per
cent
age
(%)
Women Men
Data source: Canadian Community Health Survey 3.1 *Interpret with caution due to high sampling variability (coefficient of variation 16.6–33.3)**Only includes off-reserve Aboriginals (North American Indian, Metis, Inuit) ***Includes Latin American, other racial and multiple racial origins.
Age-standardized percentage of adults aged 25 and older
who reported being a daily or occasional
smoker, by sex, education level and
Local Health Integration Network,
Ontario, 2005
13
14
Age-standardized percentage of adults age ≥ 25 with CVD who reported health behaviors that increase risk for chronic diseases,
by sex and risk behaviour, Ontario, 2005
Data source: CCHS, Cycle 3.1 ^ Physical Activity Index of < 1.5 kcal/kg/day** Daily consumption of less than five servings of fruits and vegetables¥ Body Mass Index (BMI) ≥25, calculated from self-reported height and weight$ Current smokers (daily or occasional)
67
4854
14
5158
66
16
0
20
40
60
80
100
Physical inactivity Inadequate fruit andvegetable intake**
Overweight or obese¥ Smoking$
Health behaviour
Per
cent
age
(%)
Women Men
15
Social Determinants of Health
16
25
14
6
24
11
41* 1*
0
10
20
30
Low Lower middle Middle Higher
Annual household income
Per
cent
age
(%)
Women Men Data source: Canadian Community Health Survey 3.1 ^ Refers to people who reported that they did not have enough to eat, worried about there Not being enough to eat or did not eat the quality or variety of foods desired due to a lack of money*Interpret with caution due to high sampling variability (coefficient of variation 16.6–33.3)
Age-standardized percentage of adults aged 25 and older who reported food insecurity^, by sex and annual household income, Ontario, 2005
17
AccessPatient Experiences with Care
Percentage of adults aged 25 and older who reported no difficulties making an appointment for an urgent, non-emergent health problem,
by sex and neighbourhood income quintile, Ontario, 2006–08^
18
76 81 8579 84
77 79 84 86 88
0
20
40
60
80
100
Q1 (Lowest) Q2 Q3 Q4 Q5 (Highest)
Neighbourhood income quintile
Per
cent
age
(%)
Women Men
Data sources: Primary Care Access Survey (PCAS), Waves 4–11; Statistics Canada 2006 Census^ October 2006–September 2008
Percentage of adults aged > 25 who reported being very satisfied with their experience of getting an appointment for a regular check-up, by
sex and ethnicity, 2006–08^
19
73
5247 49
58 6170
50
40
6965
X0
20
40
60
80
100
Aboriginal** Black South and WestAsian, Arab
East andSoutheast Asian
Other*** White
Ethnicity
Per
cent
age
(%)
Women Men
Data source: Primary Care Access Survey (PCAS), Waves 4–11^ The survey period was from October 2006–September 2008X Suppressed due to small sample size ** Includes North American Indian, Metis, Inuit*** Includes El Salvador, other European, other Central American, other South American, religion as ethnicity
Percentage of adults aged 25 and older who reported being very satisfied with their experience getting an appt for a regular check-up,
by sex and length of time since immigration, 2006–08^
20
41
61 60
42
61 65
0
20
40
60
80
100
0 - 9 10+ Canadian born
Time since immigration (years)
Per
cent
age
(%)
Women Men
Data source: Primary Care Access Survey (PCAS), Waves 4–11^ October 2006–September 2008
Percentage of adults aged 25 and older who reported being very satisfied with their experience of getting appt for a regular check-up,
by sex and language spoken most often at home, 2006–08^
21
6068
49
6571
51
0
20
40
60
80
100
English only, English with others French only Neither English nor French (other)
Language spoken most often at home
Perc
enta
ge (%
)
Women Men
Data source: Primary Care Access Survey (PCAS), Waves 4–11^ October 2006–September 2008
Percentage of adults aged 25 and older who did not visit a dentist in the past 12 months,
by sex and annual household income, Ontario, 2005
22
56
48
29
16
57 55
40
23
0
25
50
75
Low Lower middle Middle Higher
Annual household income
Pe
rce
nta
ge
(%
)
Women Men
Data source: Canadian Community Health Survey (CCHS), 2005 (Cycle 3.1 )
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Quality of Care
Percentage of Ontarians aged 15 and older with probable depression who had a physician visit for depression,
by sex and age group
24Data sources: CCHS, Cycle 1.1; OHIP* Interpret with caution due to high sampling variability
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4350
4638
47
26* 28*
0
20
40
60
80
100
15-24 25-44 45-64 65+
Age group (years)
Per
cent
age
(%)
Women Men
25
Age-standardized percentage of screen-eligible^ women who had at least one Pap test in the last three years,
by neighbourhood income quintile, 2004/05
6166 69 72 75
0
20
40
60
80
100
Q1(lowest) Q2 Q3 Q4 Q5(highest)Neighbourhood income quintile
Per
cent
age
(%)
Data sources: CytoBase; OCR; OHIP; RPDB; Canadian Institute for Health Information Discharge Abstracts Database (CIHI-DAD); Statistics Canada 2001 Census
^Women aged 18-70 with no history of cervical cancer or prior hysterectomy
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Age-standardized percentage of women who had a Pap test that showed a low grade lesion^ who had a repeat Pap test or colposcopy
within 6 months of the initial abnormal test, by neighbourhood income quintile, 2004/05
42 43 44 45 47
0
20
40
60
80
100
Q1(lowest) Q2 Q3 Q4 Q5(highest)
Neighbourhood income quintiles
Per
cent
age
(%)
Data sources: CytoBase; OCR; OHIP; RPDB; CIHI-DAD; Statistics Canada 2001Census
^Atypical squamous cells of undetermined significance (ASCUS) or low-grade squamous intraepithelial lesion (LGSIL)
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Quality of Care:Medicare Health Outcomes Survey
Plan-level HEDIS diabetes indicators linked to patient-level HOS data.
Hierarchical linear models estimated the relationship between plan HEDIS performance on diabetes QIs and 2-year change in HOS physical and mental health scores.
Each 10% point improvement in plan performance on intermediate outcomes (ie, the proportion of well-controlled diabetes) was related to significant increase in the probability of being healthy for physical health scores (7 percentage point increase, P 0.05) and mental health scores (11 percentage point increase, P 0.01).
Source: Harman et al. Medical Care 2010
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Identifying Populations at RiskCART Analysis
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ACSC RATE: 4.9%
Sample CART Tree Profile
Total Population
N = 2,818,597
AGE > 49AGE <= 49
No ChronicDisabilities
Chronic Disabilities Present
Good to Excellent Mental Health
Fair to Poor Mental Health
Middle to High Income
Low Income
Employed
Unemployed
HEA
LTH
/CLI
NIC
AL
DET
ER
MIN
AN
TS
S
OC
IO-E
CO
NO
MIC
DETER
MIN
AN
TS
CART Risk Profiles
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Sample Groups Formed by CART Analysis
Health +Socio-EconomicDeterminants
(Health Very Good to ExcellentAge < 50)Middle to High IncomeEmployed
(Health Very Good to Excellent Age < 50)Lower to Middle to IncomeNot Employed
(Health Good to ExcellentAge >= 50)Low Income
(Health Poor to AverageAge >= 50)Working Part Time Household Size 2 or lessLanguage-Non English
(Health Poor to AverageAge >= 50)Working Part Time Household Size 3 or moreLanguage-Non English
31
Data Linkages
Physician Claims Pathology Data Hospital Discharge Data Performance Data Other
– Census– Other Surveys– Lab Data– EMR?– All Payer Databases?
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Future Directions: A 21st Century Data Strategy
Survey Development: Asking What Matters Fostering Data Linkages Oversampling of Diverse Populations Knowledge Translation (Translating Research
into Practice) Support Priority Setting, Inform Policy and
Practice, Monitor Progress Innovative Analyses and Pragmatic Trials Community Engagement
For more information, please contact us:
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The POWER Study is funded by Echo: Improving Women's Health in Ontario, an agency of the Ministry of Health and Long-Term Care. This presentation does not
necessarily reflect the views of Echo or the Ministry.