The Objectives of Prove It!

Provide a Basic Understanding of Why We Use Data and How to Use Data in Community Health Assessment and Monitoring

The “Prove It!” program begins with an in-depth exploration of the fundamental reasons for using data in community health initiatives. Participants will learn how data serves as a critical tool for identifying health needs, monitoring health outcomes, and evaluating the effectiveness of health interventions. By focusing on writing grant applications, the program demonstrates how data can support the case for funding by providing evidence of need and potential impact. This section will cover the types of data commonly used in health assessments, the sources of such data, and the principles of data reliability and validity.

Provide Tools and Resources to Make Using Data Easier and More Efficient for Participants

To facilitate the practical use of data, “Prove It!” offers a range of tools and resources designed to simplify data collection, analysis, and presentation. Participants will be introduced to various data management software, online databases, and analytical tools that streamline the process of working with health data. The program will also provide templates and guides for data visualization, helping participants create clear and compelling charts, graphs, and reports. Additionally, attendees will receive training on best practices for data security and confidentiality, ensuring that sensitive information is handled appropriately.

Use the Example of the Livable, Walkable Communities Project to:

Determine Why Data Are Necessary Through the Livable, Walkable Communities project, participants will learn to identify the specific reasons for collecting and analyzing health data. This project serves as a case study to illustrate how data can reveal the benefits of creating pedestrian-friendly environments, such as improved public health, reduced pollution, and enhanced quality of life. Participants will examine the types of data collected, such as pedestrian traffic counts, air quality measurements, and health surveys, to understand how each piece of information contributes to the overall picture.

Learn How to Find and Evaluate Health-Related Data Participants will receive detailed guidance on locating relevant health data from various sources, including public health records, academic research, and community surveys. The program will teach strategies for assessing the quality and relevance of data, such as checking for the credibility of sources, the methodology used in data collection, and the consistency of data over time. This section will emphasize critical thinking skills, helping participants discern which data sets are most useful for their specific needs.

Learn About Commonly Used Health Statistics and Discuss How to Determine What Data Are Appropriate and Available In this part of the program, participants will gain familiarity with key health statistics, such as incidence and prevalence rates, mortality rates, and health service utilization rates. The program will discuss how these statistics are calculated and interpreted, providing practical examples of their application in community health assessments. Participants will also learn how to determine the appropriateness and availability of data for their projects, considering factors such as geographic scope, demographic characteristics, and the timeliness of data.

Determine How to Get the Data Analysis You Need by Asking the Correct Question One of the critical skills taught in the “Prove It!” program is how to formulate precise and relevant research questions that guide data analysis. Participants will practice developing questions that align with their project goals and objectives, ensuring that the data collected directly addresses their informational needs. The program will cover various analytical techniques, from basic descriptive statistics to more advanced inferential methods, to help participants extract meaningful insights from their data.

Learn How to Interpret Data Analysis Interpreting data correctly is crucial for making informed decisions. This section of the program will train participants to understand the results of their data analysis, including recognizing patterns, trends, and potential anomalies. Participants will learn how to relate their findings to broader health issues and policy contexts, making connections between their data and real-world outcomes. The program will also address common pitfalls in data interpretation, such as misrepresenting correlation as causation.

Discuss How to Share the Story That the Data Tell Effective communication of data findings is essential for influencing stakeholders and driving change. The final section of the “Prove It!” program focuses on storytelling with data. Participants will learn techniques for presenting their data in a clear, compelling, and accessible manner, whether through written reports, presentations, or interactive dashboards. The program will emphasize the importance of tailoring the message to different audiences, from community members to policymakers, to ensure that the data story resonates and prompts action.

If you would like to know more about Prove It!, including how to have Prove It! offered to your community, please contact us.