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Annotation: Navigating complex systems of care is a struggle for children and youth with special health care needs and their families. Current approaches to improve the process overlooks families’ personal and community assets. A network science approach can demonstrate how to develop person-centered care navigation, coordination, and referrals for families in healthcare and community-based settings.

Learning Objectives: • Discover how the science of networks provides a unique lens to strengthen systems of care. • Explore applications of network science approaches within healthcare settings as a mechanism to transform practice and health outcomes.

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.

Annotation: There is mounting recognition among health professionals that truly improving health outcomes in the U.S.—addressing acute conditions and the upstream social determinants that contribute to poor health—must be an interdisciplinary, cross-sector, and collaborative endeavor. To this end, the Public Health Leadership Forum (PHLF) at RESOLVE teamed with the Health Care Transformation Task Force (HCTTF) to develop a framework that supports enhanced collaboration between health care and public health entities. This framework, Partnering to Catalyze Comprehensive Community Wellness: An Actionable Framework for Health Care and Public Health Collaboration, outlines essential elements and key strategies for shaping effective, health-based collaboratives among public health, health care, and community-based organizations. In this web forum, members of the PHLF and HCTTF describe the essential elements of collaboration outlined in the framework, and speak to their experiences working to develop and sustain cross-sector collaborations in their organizations and communities. A video and transcript are available.

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

Annotation: Social determinants of health are conditions in the environments in which people are born, live, learn, work, play, worship, and age that affect a wide range of health, functioning, and quality-of-life outcomes and risks. Child Death Review (CDR) and Fetal and Infant Mortality Review (FIMR) programs work to understand health care systems and social problems that contribute to fetal, infant, and child deaths and to identify and implement systems improvement and interventions to improve the lives of some of our most vulnerable women, infants, children, and families. Keeping a Social Determinants of Health lens while conducting fatality review is a step toward reducing inequities in these vital health outcomes.

Special Instructions: Password: sdoh

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.

Annotation: In a world where data are proliferating as never before, more policymakers are relying on research evidence to serve the public good. What are the research methods that offer the most useful data to policymakers in this rapidly changing landscape? Find out in #EvidenceInsight, a new video series from Mathematica Policy Research. Randomized controlled trials (RCTs) are considered the gold standard of rigorous research design. For decades, Mathematica researchers have designed, executed, and replicated large-scale RCTs in many different policy and program areas. Today, greater availability of high quality administrative data—along with an abundance of emerging technologies—have increased demand for faster program evaluation with equally robust results. This demand, coupled with shrinking resources, has motivated researchers to consider new methods that are more efficient and less expensive than RCTs, but just as reliable. This video series is designed to help policymakers who need access to strong evidence. After a brief video describing the series, additional videos address these topics: Bayesian Methods: A Faster, Probabilistic Approach to Research Design. Adaptive Randomization: A Fresh Perspective on Traditional Research Design. Rapid-Cycle Evaluation: Determining What Works in Less Time. Predictive Analytics: Transforming Decision Making in Three Steps.

Annotation: This learning bundle uses the CDC framework as a conceptual model to organize learning opportunities. It presents introductions to the six steps of program evaluation in short video podcasts. You can also download materials from the CDC about each step. After reviewing the introductory material, you can access additional learning opportunities to gain knowledge and skills related to each step of the framework. For additional resources this learning bundle also includes an Evaluation Toolkit developed by NCEMCH that includes an evaluation primer, a collection of key resources, and an interactive Choose-and-Use tool to assist users in finding instructions on how to conduct evaluations and examples of successful evaluations from the field.

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:

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.