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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.

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:

Overcoming the Challenges of Data Analytics in Government: Embrace Data Analytics. Year Developed: 2016. Source: GovLoop. Presenter(s): Jack London. Type: Video Lecture. Level: Introductory. Length: 30 minutes.

Annotation: This course is for anyone who wants to innovate the way their agencies gather and analyze data. It focuses on technology as well as organizational innovation to help your agency harness big data. The course lays out a roadmap to navigating data analytics and management and outlines the various opportunities of data analytics as well as the challenges of getting started. It also highlights how to select technology solutions and build your analytics expertise. The course comprises an overview, 6 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.

Nexus: National Center Summit on the Future of IPE [Interprofessional Practice and Education]. Year Developed: 2016. Source: National Center for Interprofessional Practice and Education and the American Interprofessional Health Collaborative. Presenter(s): n.a.. Type: Conference Archive. Level: Introductory Intermediate Advanced. Length: Series, various lengths. Nexus Fair presentations

Annotation: This series consists of practical workshops presented at the August 2016 Nexus Summit. The workshops are: Workshop 1: Creating IPE Curriculum Using Bolman & Deal's Four Framework Approach Workshop 2: Using Team Collaboratives & Faculty Consultations to Enhance Team-Based Care: Techniques from University of Rochester Department of Family Medicine Workshop 3: Lessons Learned: Implementing IPCP Interventions in Two Primary Care Clinics Treating Underserved Populations Workshop 4: Creating Something from Nothing: Building an Interprofessional Practice & Education Institute Workshop 5: Making Interprofessional Practice "Real": Developing Student Experiences in Rural Settings to Align Education & Practice Workshop 6: Showing the Value-Added Benefit of Health Profession Student Teams in Patient Care Workshop 7: Building a NEXUS Network of Partners: Strategies for Building Relationships, Infrastructure & Action Plans Workshop 8: Catalyzing Interprofessional Collaborative Practice in Existing Clinical Teams: Interactive Approaches to Building Teams Workshop 9: i-Care: A Team-Based Approach to Meeting the Needs of the Underserved with Chronic Conditions Workshop 10: Quality Improvement & Leadership Development for Residents Leading Interprofessional Teams Workshop 11: I-CAN, An Innovative Community-based Interprofessional Clinical Education Model Workshop 12: A Quick Clinical IPE Roll-out: Is It Possible? Workshop 13: Teamwork Training in Integrated Care: Navigating the Nexus in Real Time Workshop 14: Enhancing Community Partnerships to Improve Students Becoming Collaboration Ready for Population Health Workshop: NEPQR Appreciative Inquiry Additional presentations from Nexus Fair Showcase organizations are also available.

Learning Objectives: See the individual workshop listing on the series page for learning objectives.

Introduction to Instrumental Variables Based Methods for Causal Inference in Health Research. Year Developed: 2016. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): Maria Glymour, PhD. Type: Webinar Archive. Level: Intermediate Advanced. Length: 90 minutes.

Annotation: This webinar presents an in-depth analysis of instrumental variables (IV) based methods for inference in public health research. Topics such as the motivation and intuition of instrumental variables analysis, how to define IV, IV assumptions, interpretation of the IV effect estimate and IV assumption violations are addressed.

Learning Objectives: • Understand the situations in which instrumental variables can be useful in health research • Describe the assumptions and interpretations for instrumental variables based effect estimates • Learn examples of instrumental variables used in health research, including policy differences, genetic variants, and other examples • Learn basic concepts for implementing instrumental variables analyses and understand whether the methods are feasible in your research setting

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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.