After completing this tutorial, you will be familiar with:
The first steps in the public health approach are to identify the problem through surveillance data and to identify risk factors associated with the problem.
The toll diabetes is taking on the health of our communities is opening eyes. More data than ever before are available on diabetes incidence, prevalence, risk factors, and more.
Data answer fundamental public health questions that are critical to effective health planning.
Data help to:
Epidemiology is the study of the distributions and determinants of disease and injuries in human populations. Epidemiology is…
Surveillance is the monitoring of trends over time of diabetes and its complications. Surveillance is…
Normal |
Prediabetes |
Diabetes |
Complications/Disability |
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This above diagram shows what kinds of data are valuable at points along the continuum from not having diabetes (“normal”) to death. The bulleted items show where to intervene in order to stop or slow the progression of diabetes. Hold your mouse over the words in the arrow for more information.
Four types of data are used in health planning:
Examples of standard surveillance data include:
Hold your mouse over the words in brown for more information
Community/asset mapping – The process of cataloguing a community’s assets and resources.
Two great resources for evidence-based interventions:
Before going out and collecting your own data on diabetes in your community, it is helpful to check existing data from a few national and local data sources.
This data can give you an idea of the scope of diabetes in the populations in your community.
These national surveys use very large sample sizes to collect data, which provide accurate estimates for diabetes prevalence in the U.S. population as a whole, as well as major subpopulations.
Local data sources give you an idea of the prevalence of diabetes – as well as risk factors and complications – at the state, county, or community level.
Use these data to understand the need for diabetes programs in your community and compare your community to others in the state or nation (these comparisons can be compelling for policy makers).
The following surveys are relatively large local surveys designed to capture comprehensive health information from ethnically diverse populations concentrated in relatively small areas. Check out these websites for best practices in conducting health surveys.
Click here to do a DATA QUEST. You will be asked to find relevant data using the resources you just covered that will be useful to you in developing your community action plan with your coalition. The information you collect during this activity will be used in the Diabetes Today 2 day workshop. Please bring these questions, along with your answers to the questions, to the Diabetes Today training.
If you would rather wait until you complete this tutorial to do the DATA QUEST, a link will be available at the end of this tutorial.
After you understand the epidemiology of diabetes in your community and before you design your program, it is important to assess the resources already available in your community.
Anything that could positively impact the health of the community should be considered a resource.
In order to conduct a community resource assessment:
Your assessment may reveal many healthcare and wellness resources in your community that are not being fully utilized.
Consider what this means in terms of the diabetes interventions and activities your coalition chooses.
Common barriers to accessing community services are:
Sometimes the data you need are not readily available. If this is the case, developing tools to collect your own data can help you to assess the problem of diabetes and its complications, implement a comprehensive diabetes program, and capitalize on the health care resources in your community.
When collecting your own data, determine whether to collect qualitative data, quantitative data, or both. It is important to choose the data collection method(s) that best suit your objectives and your audience. Different methods serve different purposes.
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Qualitative Data |
Quantitative Data |
Definition: |
Provides insight into people’s attitudes, beliefs, values, motivations, and lifestyle. |
Describes a situation or event in terms of numbers. |
Data Collection Methods: |
Standardized Survey – Face-to-face, telephone, mail, web, or email. |
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Characteristics |
Subjective, open-ended questions Probes for feelings, beliefs, impressions Gathers detailed information from small number of people. Open-ended responses make data analysis complex. |
Objective, close-ended questions Specific responses to specific questions Gathers information from large number of people. Fixed response choices make data analysis easy. |
Example |
How people with diabetes feel about regulating their blood glucose |
Percent of people with diabetes who improved their blood-glucose regulation (e.g., the percentage of change in a particular behavior by the target population). |
Whenever possible, use data that are available and recently collected.
Check it out:
Rather than starting from scratch, identify questions from other national health surveys that meet your needs. Take a few minutes to follow one or more of the links below and find the questions used in these national surveys. These questions have been previously validated and will add credibility to your diabetes survey. Think about which questions you might be able to repurpose for your own diabetes survey.
National Health Interview Survey (NHIS) http://www.cdc.gov/nchs/nhis.htm
National Health and Nutrition Examination Survey (NHANES) http://www.cdc.gov/nchs/nhanes.htm
Behavioral Risk Factor Surveillance Survey (BRFSS) www.cdc.gov\brfss
Note: Collecting data in your community requires careful planning and specific knowledge of data collection methods. Before collecting your own data, make sure someone on your coalition has those skills or you should consult an expert.
Understanding the burden of diabetes in your community requires collecting data on the prevalence of diabetes, its risk factors, and complications. Data is available from several national and local sources. Conducting a Community Resource Assessment is a valuable way of identifying what resources already exist in your community. When collecting your own data, determine if it’s best to collect qualitative data, quantitative data, or both.
The next tutorial, Facilitating for Success, you will learn how to guide your coalition in making decisions through group facilitation techniques.
But first, a Quick Check…
Now, let’s check your understanding of the material we just covered. Read each question and select the best answer choice.
You have completed Tutorial 2: Using Data in Planning. Click on Tutorial 3: Facilitating For Success on the left menu to go on to the next tutorial.
If you have not done so already, please take a few minutes to complete the DATA QUEST. You will use the information you collect during the Diabetes Today training. Please bring the questions along with your answers to the training. You can print the document or save is as a Word file.
Want to learn more about using data in public health planning? Contact the Diabetes Training and Technical Assistance Center (DTTAC) at dttac.emory.edu for more information on designer workshops, trainings and services offered.