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Novel Approaches to Public Health: Tech and Innovation for Supporting Public Health. Year Developed: 2017-2018. Source: Public Health Institute. Presenter(s): Sue Grinnell and others. Type: Webinar Series. Level: Introductory. Length: Series, various lengths.

Annotation: Technology is now an integral part of our every day lives, but are we leveraging it effectively in public health? Join hosts Public Health Institute (PHI) and P2Health to explore innovative approaches to solving public health problems, learn about emerging trends in technology and other innovations to support improved health, hear from startups bosWell and Bloomlife on the solutions they've devised to address health issues, and discover resources and information on technology and innovation.

Learning Objectives: • Explore innovative approaches to solving public health problems. • Learn about emerging trends in technology and other innovations to support improved health. • Hear from startups bosWell and Bloomlife on the solutions they've devised to address health issues. • Discover resources and information on technology and innovation.

Using Population Data to Complement Fatality Review Data: An Overview of CDC WONDER and Perinatal Periods of Risk (PPOR). Year Developed: 2018. Source: National Center for Fatality Review and Prevention. Presenter(s): Sigrid A. Economou; Carol Gilbert, MS. Type: Webinar. Level: Introductory. Length: 60 minutes.

Annotation: Fatality review includes information often not available through routine quantitative methods. Population data, such as vital statistics, are frequently used to complement fatality review findings. This presentation includes a demonstration of the CDC WONDER, an integrated information and communication system for public health developed by the Centers for Disease Control and Prevention (CDC). The webinar also introduces participants to Perinatal Periods of Risk (PPOR), a comprehensive approach to help communities use data to reduce infant mortality. The webinar defines population based data, its limitations, limitations of case review data, how to interpret data in light of other evidence, different uses of data, PPOR analytic steps, and how FIMR and PPOR can work together. Available are the archive, slides, questions and answers, a handout, and information about CDC WONDER.

Leveraging Program Evaluation and Data to Improve Your Services Part I. Year Developed: 2018. Source: Midwest Regional Children's Advocacy Service. Presenter(s): Kara Bixby, MPP; Nora Robinson, MSW. Type: Webinar. Level: Introductory. Length: 90 minutes.

Annotation: This two-session webinar is focused on evaluation and helping your organization/CAC see the value of evaluation and data in achieving its mission. This webinar provides an overview of evaluation, the various types of evaluation and how to select the best type based on your organization's needs.

Learning Objectives: 1. Develop a common understanding of evaluation and its value. 2. Learn about the various types of evaluation and their purposes. 3. Identify what types of evaluation are most appropriate for your organization/CAC right now. 4. Learn about continuous improvement and how evaluation can be used for continuous improvement. 5. Discuss strategies that can build a culture of continuous improvement and data use in your organizations/CAC.

Leveraging Program Evaluation and Data to Improve Your Services Part 2. Year Developed: 2018. Source: Midwest Regional Children's Advocacy Service. Presenter(s): Kara Bixby, MPP; Nora Robinson, MSW. Type: Webinar. Level: Introductory. Length: 90 minutes.

Annotation: This two-session webinar is focused on evaluation and helping your organization/CAC see the value of evaluation and data in achieving its mission. The webinar provides an overview of evaluation, the various types of evaluation and how to select the best type based on your organization's needs. It connects evaluation to continuous improvement, providing an overview of the philosophy of continuous improvement and strategies that can build a culture of continuous improvement in your organization.

Learning Objectives: 1. Develop a common understanding of evaluation and its value. 2. Learn about the various types of evaluation and their purposes. 3. Identify what types of evaluation are most appropriate for your organization/CAC right now. 4. Learn about continuous improvement and how evaluation can be used for continuous improvement. 5. Discuss strategies that can build a culture of continuous improvement and data use in your organizations/CAC.

How to Make Sense of Your Agency’s Data: Move from Data Collection to Analytics . Year Developed: 2018. Source: GovLoop. Presenter(s): Jack London. Type: Video Lecture. Level: Introductory. Length: 10 minutes.

Annotation: With a growing population, an increase in connected devices and the rapid pace of technological development, agencies are now collecting more data than ever before. Not to mention, the sprawl of government information systems and technologies means that agencies are also generating significant amounts of information. All that data can be extremely valuable to the way government achieves mission goals. But to reap that value, agencies must be able to do more than collect it; they must be able to analyze it. In this course, we examine the barriers that many agencies face in bridging the gap between collection and analytics. We also identify the three critical tasks that agencies must achieve to glean insights from their data. Finally, we examine how data analytics can have real impact on the operations of government agencies. The course comprises an overview, 3 lessons, a knowledge check, and a post-course survey.

Learning Objectives:

Continuing Education: GovLoop is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors.

Where To Find MCH Resources: An Introduction. Year Developed: 2017. Source: National Center for Education in Maternal and Child Health. Presenter(s): Keisha Watson and John Richards. Type: Narrated Slide Presentation. Level: Introductory. Length: 18 minutes.

Annotation: This short presentation discusses the information needs of MCH professionals and identifies distinct online resources to address those needs, from pop and professional sources such as Google, PubMed, and Wikipedia to grant-supported resources that address MCHB topical programs and initiatives. Topics include data warehouses, research centers, epidemiology sites, professional and membership organizations

Learning Objectives: • Identify information needs of professionals • Explain the differences between types of online resources • Differentiate between trusted and questionable online resources • Understand where to go to find additional resources

Using Geographic Information Science to Advance Heath Equity and Environmental Justice. Year Developed: 2017. Source: Region 2 Public Health Training Center. Presenter(s): Andrew Maroko, PhD. Type: Webcast. Level: Intermediate Advanced. Length: n.a..

Annotation: Environmental factors have an important impact on the health of communities. Public health professionals may use geographic information sciences (GIS) to assess the health of communities by analyzing exposure, or being subjected to negative factors such as pollution, as well as accessibility, or the ability to access positive factors such as green space and healthy food. In this webinar, Dr. Andrew Maroko discusses the process of geovisualization, hypothesis generation, data exploration, and communication and knowledge transfer in conducting environmental justice research. Dr. Maroko also describes various methods and technologies used to estimate exposure and accessibility, and provides examples of GIS in environmental justice/health equity projects in New York City and Glasgow, Scotland.

Learning Objectives: • To describe how geographic information science can be used to advance health equity and environmental justice. • To describe the environmental factors that lead to health disparities. • To list examples of how geographic information science has been used in health equity research.

Special Instructions: Registration required before accessing this course.

Continuing Education: CHES, CPHCE

Using Administrative Data to Address Policy-Relevant Research Questions in Early Care and Education. Year Developed: 2017. Source: Child Trends. Presenter(s): Kelly Maxwell, Isabel Bradburn, Van-Kim Lin, Elizabeth Davis, and Amy Claessens. Type: Webinar Archive. Level: Intermediate. Length: 85 minutes.

Annotation: This webinar highlights 3 resources that can assist researchers in using early care and education administrative data. Additionally, it provides researchers' perspectives based on experience throughout their projects. The first resource examines the benefits of and strategies for developing collaborative partnerships with researchers and state agencies. The second resource was created to help researchers determine the feasibility of using administrative data by posing questions related to data policies and procedures, data contacts and coordination, and data usability. The third resource presents topics to consider when preparing to analyze administrative data to address child care and early education research questions.

CPH Study Session Webinar: Biostatistics. Year Developed: 2017. Source: National Board of Public Health Examiners. Presenter(s): Lisa Sullivan, PhD. Type: Webcast. Level: Advanced. Length: 180 minutes. Slides

Annotation: This course presents a detailed overview of biostatistics, terminology and definitions, and practice questions. It includes how data can be displayed and hypothesis testing procedures.

Learning Objectives: • Summarize a sample selected from a population. • Make inferences about population parameters based on sample statistics.

Big Data and Data Science: What Do We Need to Know?. Year Developed: 2017. Source: National Institutes of Health Library. Presenter(s): Lisa Federer. Type: Webinar. Level: Introductory. Length: 60 minutes.

Annotation: This webinar defines big data and discusses techniques used to analyze data, find meaning in data, and common techniques and tools used in research areas.

Learning Objectives: • List four characteristics of big data. • Define data science. • Understand future implications of big data and data science.

Continuing Education: Medical Library Association CE credit

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This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant number UE8MC25742; MCH Navigator for $180,000/year. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.