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Displaying records 1 through 10 of 47 found.

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.

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.

Measuring Family Experience of Care Integration to Improve Care Delivery. Year Developed: 2017. Source: Lucile Packard Foundation for Children's Health. Presenter(s): Hannah Rosenberg, MSc; Rebecca Baum, MD. Type: Webinar Archive. Level: Introductory. Length: 31 minutes.

Annotation: The family perception of care integration is essential in identifying opportunities to improve processes of care coordination and care management. This June 15 webinar introduced the Pediatric Integrated Care Survey (PICS), a validated instrument developed by Richard Antonelli, MD, MS, Medical Director of Integrated Care at Boston Children's Hospital, and his team. The instrument assesses family experience of care integration. It asks family respondents to identify the members of their child's/youth's care team and report on their experiences with integration across disciplines, institutions, and communities. A video and presentation slides are available.

AMCHP 2016 Title V Workforce Assessment Results. Year Developed: 2017. Source: Association of Maternal and Child Health Programs. Presenter(s): Lynne Nilson. Type: Webinar Archive. Level: Intermediate. Length: 15 minutes.

Annotation: This recorded webinar session discusses the results of the summer 2016, AMCHP-led assessment of the Title V workforce that assessed the scope, staff, and training needs of state Title V programs. The recorded webinar was developed to provide background to a interactive session to discuss the results shared during the recording, identify gaps in the assessment, share best practices and resources, and provide recommendations for future assessments.

Learning Objectives:

Why All the Excitement About Logic Models?. Year Developed: 2016. Source: Office of Minority Health. Presenter(s): Elton Naswood and Tamara Henry, EdD. Type: Webinar Archive. Level: Introductory. Length: 42 minutes.

Annotation: This webinar provides an overview of logic models and when to use them in both applications and evaluations. The webinar includes how to write specific, measurable, attainable, realistic and timely (SMART) objectives and how to access logic model designs. Logic model templates are provided.

Learning Objectives: •Introduce you to smart goals and logic modeling. •Describe how to develop a logic model. •Illustrate the application of logic models in planning and evaluation.

TADPOHLS: Enabling Integrative Longitudinal Studies of Positive Health. Year Developed: 2016. Source: UCLA Center for Healthier Children, Families & Communities, Maternal and Child Health Life Course Research Network (LCRN). Presenter(s): Margaret L. Kern, PhD. Type: Webinar Archive. Level: Intermediate. Length: 48 minutes.

Annotation: This webinar presents database and coding typology, and illustrates how the database can be used to integrate multiple studies at the item level to examine adolescent predictors of adult health outcomes.

Learning Objectives:

System Dynamics Methods for Mental Health Research - An Introduction. Year Developed: 2016. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): Hazhir Rahmandad, PhD; Andrea K. Wittenborn, PhD. Type: Webinar Archive. Level: Introductory Intermediate. Length: 90 minutes.

Annotation: This webinar presents an introduction to system dynamics methods for mental health research. A systems dynamics overview, and techniques using examples from the field with qualitative modeling and simulation modeling are discussed.

Learning Objectives: • Gain knowledge of distinct features of system dynamics methods including qualitative modeling, simulation modeling, and estimation techniques. • Discover how system dynamics can benefit the study of depression.

Staying Ahead of the Curve: Modeling and Public Health Decision-Making. Year Developed: 2016. Source: Centers for Disease Control-Public Health Grand Rounds. Presenter(s): Richard Hatchett, MD; Daniel Jernigan, MD; Martin Meltzer, PhD; Lauren Ancel Meyers, PhD . Type: Video Webinar. Level: Intermediate. Length: 60 minutes.

Annotation: Where are infections spreading? How many people will be affected? What are some different ways to stop the spread of an epidemic? In a process known as modeling, scientists analyze data using complex mathematical methods to provide answers to these and other questions during an emergency response. Models provide the foresight that can help decision makers better prepare for the future.

Learning Objectives:

Secondary Use of Electronic Health Data for Child Health Research: Opportunities and Challenges. Year Developed: 2016. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): Robert Grundmeier, MD. Type: Webinar. Level: Introductory Intermediate. Length: 65 minutes.

Learning Objectives: • Understand the types of data readily available in electronic health records (EHRs) that support child health research activities. • Recognize the challenges with cleaning and organizing electronic health data before statistical analyses can be performed. • Gain a practical understanding of how researchers working with the American Academy of Pediatrics are using data from an EHR “supernetwork” to conduct cutting-edge research.

Secondary Data Sources and Data Linkages in Maternal and Child Health Research. Year Developed: 2016. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): Jihong Liu, ScD. Type: Webinar. Level: Intermediate. Length: 54 minutes.

Learning Objectives: • Become familiar with major national and local administrative and clinical databases in MCH research. • Identify relative advantages and disadvantages of using secondary data sources. • Understand how data linkage is a powerful research tool with potential limitations.

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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.