8/9/2012
LOOKING FOR MORE
ANSWERS:
ADDITIONAL DATA SOURCES FOR
COMMUNITY HEALTH ASSESSMENT
Local Public Health Assessment and Planning
Data Webinar #3
August 1/ August 9, 2012
Please call in: 1-888-742-5095
Conf ID: 427 158 4560
LPHAP Data Webinar Series
• Data Webinar #1: County Level Indicators for Community
Health Assessment (June 2012)
• Data Webinar #2: What Do the Data Say? (July 2012)
Check the OPI training page:
http://www.health.state.mn.us/divs/cfh/ophp/consultation/training/
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Today’s Presenters
• Dorothy Bliss, Office of Performance Improvement
• Kim Edelman, Minnesota Center for Health Statistics
• Chuck Stroebel, MN Environmental PH Tracking
• Kelly Muellman, Minnesota Climate and Health Program
Facilitator/Recorder:
• Jeannette Raymond, Office of Performance Improvement
Learning Objectives
Participants will:
1) Become familiar with an expanded range of
data sources for community health assessment
2) Meet two more MDH staff who can help with
data and analysis
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Agenda
I.
Introduction
II. Vital Statistics Interactive Query
III. MN Public Health Data Access
IV. Climate Change Tools
V. Webinar Evaluation Request
Steps in Community Health Assessment
Organize
Plan Assessment in Partnership
Gather and Analyze Data
Document and Communicate
Findings
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Data Analysis Cycle
Enough
information? If
not, repeat cycle
Gather data
Add community
knowledge and
experience
Analyze,
interpret, explain
“Round One” Data
• County-level indicators for community health
assessment: 114 indicators from MCHS
http://www.health.state.mn.us/divs/chs/ind/index.htm
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“Round One” Data Analysis
• Gathered data together
• Scanned the data for indicators to start with: local
concern, public health initiative, unusual numbers
(Examples: Teen marijuana use, teen birth rates)
• Looked for trends/changes over time
• Compared to the state, other counties
Now what?
MINNESOTA VITAL
STATISTICS INTERACTIVE
QUERIES WEBSITE
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Data Webinar #2: Recap
Teen Birth Rates per 1,000 Females 15-19
40.0
34.8
31.9
Rate
30.0
29.5
34.7
34.6
26.9
26.1
30.8
20.0
Minnesota
10.0
Steele Co.
0.0
1991-1995 1996-2000 2001-2005 2006-2010
Data Webinar #2: Recap
Conclusions thus far:
• Steele County’s TBR is higher than Minnesota’s TBR and
• Steele County’s TBR is on an upward trend while
Minnesota is on a downward trend
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Data Webinar #2 Recap
Next steps:
• What other Round 1 indicators might help assess teen
births?
• What are the risk and protective factors related to teen
births included in Round 1?
Data Webinar #2 Recap
Other Round 1 Indicators:
Risk and Protective Factors for Teen Births
• Socioeconomic background
• Poverty rates - VS Trend Report
• School performance
• Graduation rate - VS Trend Report
• Drop out rate - VS Trend Report
• Sexual activity – MSS Single Year Report
• Contraceptives use - MSS Single Year Report
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Data Webinar #2 Recap
Teen Birth Rates - Steele County
Indicator
Steele Trend
State Trend
Better than
State (last time
period)
Teen Birth Rate
Negative
Positive
Worse
Poverty Rate – All
Negative
Negative
Better
Poverty Rate - u 18
Negative
Negative
Better
Graduation Rate
Positive
Positive
Better
Drop Out Rate
Positive
Positive
Better
Sexual Activity 9th Graders
Positive
Negative
Better
Condom Use 9th Graders
Positive
Negative
Better
Conclusions Thus Far
State Trend
Better than
State (last time
period)
Negative
Positive
Worse
Negative
Negative
Better
Negative
Negative
Better
Positive
Positive
Better
Positive
Positive
Better
Sexual Activity 9th Graders
Positive
Negative
Better
Condom Use 9th Graders
Positive
Negative
Better
Indicator
Teen Birth Rate
Poverty Rate – All
Steele Trend
Huh?
Poverty Rate - u 18
Graduation Rate
Drop Out Rate
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Possible Next Steps
• Gather input from your staff
• Add community knowledge and experience
Repeat cycle – add data, add more layers
• Look at teen birth rates by age
• Is the increase in a certain age group?
• Examine poverty rates over a longer time period (e.g. 1991 to 2010)
• Add 12th graders to the MSS analysis
• Determine what other MSS indicators should be reviewed
Possible Next Steps
• Gather input from your staff
• Add community knowledge and experience
Repeat cycle – add data, add more layers
• Look at teen birth rates by age
• Is the increase in a certain age group?
• Examine poverty rates over a longer time period (e.g. 1991 to 2010)
• Add 12th graders to the MSS analysis
• Determine what other MSS indicators should be reviewed
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Teen Birth Rates Using VS IQ
• Create teen birth rates for Steele County for 15-17 year
olds and 18-19 year olds using the VS IQ
• The Minnesota Vital Statistics Interactive Queries
• https://pqc.health.state.mn.us/mhsq/index.jsp
VS IQ Background
• The Vital Statistics Interactive Queries website allows you
to query births, deaths and population by state and county
for the years 1990 to 2010 (most recent).
• To query birth data by county you will need a login ID and
password
• To get a login and password, contact Kim Edelman @
[email protected]
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Where is the VS IQ?
Click on Data & Statistics
Under Interactive Data
Sources, select MN VS IQ
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Click on
Login
Enter login
and
password
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Click on
Birth
Queries
Looks similar to
original screen
with this box
added.
Step 1
Select
counties or
state
Select one
or more
years
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Step 2
Select up to
four
variables
Step 3
Select
your type
of
analysis
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Step 4
Select variables to
narrow your query
by a certain
population (e.g.
American Indians)
or certain
characteristics
(e.g. low birth
weight)
Steele County Teen Birth Rate Age 15-17,
2006-2010 Query Steps
• Step 1:
• Select “Steele County”
• Select “2006-2010”
• Step 4: Age (single
year)
• Select “15” in Min Age
• Select “17” in Max Age
• Step 2:
• Select “Age of Mother”
• Press “Submit”
• Step 3:
• Select “Rate”
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Teen Birth
Rate (15-17),
Steele County
2006-2010
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Teen Birth
Rate (15-17),
Minnesota
2006-2010
Steele County Teen Birth Rate Age 18-19,
2006-2010 Query Steps
• Step 1:
• Select “Steele County”
• Select “2006-2010”
• Step 4: Age (single
year)
• Select “18” in Min Age
• Select “19” in Max Age
• Step 2:
• Select “Age of Mother”
• Press “Submit”
• Step 3:
• Select “Rate”
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Teen Birth
Rate (18-19),
Steele County
2006-2010
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Teen Birth
Rate (18-19),
Minnesota
2006-2010
Teen Birth Rates per 1,000 Females,
Steele County and Minnesota
90.0
Age 15-19
90.0
70.0
80.0
60.0
70.0
50.0
60.0
40.0
34.8
31.9
34.7
34.6
30.0
20.0
29.5
30.8
26.9
26.1
Rate
Rate
80.0
50.0
Ages 15-17 and 18-19
77.4
57.7
58.8
57.3
52.7
40.0
30.0
46.5
20.1
20.0
10.0
10.0
0.0
0.0
Minnesota
Steele Co.
61.7
18.2
46.1
18.5
12.4
14.5
16.9
13.5
MN 18-19
Steele 18-19
MN 15-17
Steele 15-17
12.4
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Conclusions Thus Far
• Steele County’s teen birth rate (15-19) on an upward
trend while Minnesota’s TBR is on a downward trend.
• Further analysis reveals that Steele County’s 15-17 TBR
is trending down, and equal to the Minnesota rate for
2006-2010.
• The 18-19 TBR for Steele County is on the rise and higher
than the state rate (77.4 vs. 46.1).
• The increase in TBR 15-19 due to the increase in birth
rate for the 18-19 year olds.
Possible Next Steps:
Focus on 18-19 year olds
• Gather input from your staff
• Add community knowledge and experience
• Repeat cycle – add data, add more layers
• Teen Birth Rates (18-19) by race/ethnicity
• Add 12th graders to the MSS analysis
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Using the VS IQ in Assessment
• The VS IQ can be used generate Round 1 indicators
• Some counties have enough births and deaths to do single year rates
and percentages. You can use the VS IQ to generate these rates and
percentages.
• The VS IQ can expand on Round 1 indicators related to birth
and death moving into Round 2. For example:
• Round 1 Indicator: Teen Birth Rate age 15-19
• Round 2 – Rates broken out by age (15-17 and 18-19)
• Round 2 – Rates by race/ethnicity
• Round 1 Indicator: Leading causes of death - age adjusted
rates per 100,000 (e.g. cancer, heart disease, stroke)
• Round 2 – Rates by age, gender or race/ethnicity
Vital Statistics Interactive Queries
• Website: https://pqc.health.state.mn.us/mhsq/index.jsp
• For questions, login/passwords, questions, help or to
schedule a VS IQ training contact:
Kim Edelman
[email protected]
651 201 5944
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MINNESOTA PUBLIC
HEALTH DATA ACCESS
Chuck Stroebel
Key Features
• One-stop shop for health & environment data
• Nationally consistent measures (indicators)
• Interactive maps & queries
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Audiences
Local Health Departments
State & Local Agencies
Researchers
Non-Profit Organizations
Policymakers, Public
Demonstration https://apps.health.state.mn.us/mndata/
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Coming Soon (2012-13)
• New data & features
• Climate change (heat stress)
• Behavior Risk Factor Surveillance Survey
(smoking, obesity)
• Population characteristics
• Biomonitoring (additional chemicals)
• E-learning modules
• Custom data access
Potential New Data Sources
• Developmental disabilities (autism)
• Pesticide poisonings
• Private well water (arsenic)
• Radon
• Others?
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Questions?
Subscribe for updates at:
https://apps.health.state.mn.us/mndata
CLIMATE CHANGE TOOLS
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MN Climate & Health Program
http://www.health.state.mn.us/divs/climatechange/
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Extreme Heat Events
• Record heat and
humidity!
• Minnesotans are
equipped to deal with
cold not heat
• How do you know if
your community is at
risk or prepared?
• Toolkit
• Maps and data tools
Toolkit Appendix F: Data Sources
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Heat Vulnerability Assessment
• Social and demographic indicators of risk:
• Children less than 5 years old
• Adults 65 years old and older
• Adults 65+ living alone
• Poverty
• Pre-existing conditions that can be aggravated by heat:
• Asthma
• Diabetes
• Cardiovascular/heart disease
• Exposure related risks:
• Urban areas
• Athletes, outdoor workers, persons exposed to heat for long
periods of time
At Risk: Elderly Living Alone
• Physiological changes; decreased ability to adapt to
temperature changes
• Pre-existing conditions, e.g., diabetes
• Use of certain medications
• Combinations of factors: poverty, aging, social isolation,
economic constraints, mobility constraints
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Social and demographic data
• Details of map components
described on the back
(page 2) of each map
• Definitions
• Data description
• Statistics
• Statewide map allows you
to compare communities
• Limitation: only shows a
range of values
• Specific values available in
Excel data table
filter arrow
county
selection
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Health data
• Pre-existing conditions that can be aggravated by heat:
• Asthma - Minnesota Public Health Data Access
• Diabetes - www.cdc.gov/diabetes/statistics/
• Cardiovascular/heart disease - http://www.cdc.gov/dhdsp/
Exposure related risks
• Living in urban areas
http://land.umn.edu/maps/impervious/landbrowse.php
• Athletes, outdoor workers, persons exposed to heat for
long periods of time
http://www.positivelyminnesota.com/assets/lmi/lehd.shtml
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MN Climate & Health Program
http://www.health.state.mn.us/divs/climatechange/
Questions? [email protected]
EVALUATION REQUEST
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Data Webinar Series Evaluation
After the August 9 presentation, all participants in the series
of data webinars will receive an email invitation to evaluate
these trainings.
The survey also will ask you to suggest future topics for
training on local public health assessment and planning.
Please help improve the training opportunities by
filling out this evaluation survey. Thank you!
Resources
Minnesota Center for Health Statistics
http://www.health.state.mn.us/divs/chs/
Kim Edelman, [email protected]
Ann Kinney, [email protected]
Minnesota Public Health Data Access
https://apps.health.state.mn.us/mndata/
Chuck Stroebel,
[email protected]
Climate Change Tools
http://www.health.state.mn.us/divs/climatechange/
Kelly Muellman
[email protected]
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THANKS
Have a healthy day!
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