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Annotation: This video provides an engaging discussion with four public health leaders from Utah, Minnesota, and Michigan who shared their approaches to tackling the issue of data silos—what has worked, what challenges remain, and what plans are in place to securely connect data across the public health spectrum.

Learning Objectives: • Learn common data models from public health systems. • Discuss communities of practice that convene public and private stakeholders across jurisdictions to improve sharing of systems and data. • Examine approaches other jurisdictions are taking to remove program silos for more effective data sharing across public health program areas.

Annotation: The MCH Essentials Series is a continuously refreshed collection of MCH topics, accessible anytime and from anywhere, covering content that is foundational for effective and equitable leadership across roles and settings. Topics range from MCH history to racial equity to youth empowerment. The MCH Essentials Series is for current and aspiring MCH professionals from all disciplines (including youth and families) and levels of leadership. Content is designed to meet a wide range of knowledge and skill development needs. Each topic presents content via narrated and interactive slide presentations, or AMCHP webinars that have been trimmed or otherwise adapted to support adult learning. Topics cover between 20 to 70 minutes of content and include additional resources.

Learning Objectives: Expand knowledge in the following areas: • Understanding MCH History and Systems for Transformative Leadership • Racially Just and Equitable Leadership • Racism as a Root Cause of Birth Disparities • Cultural Competency • Youth Empowerment • Life Course Perspective • Climate Justice • Evidence and Equity • Using Data to Inform MCH Programs • Return on Investment in MCH

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: The Division of Research within the office of Epidemiology & Research at the Maternal and Child health Bureau, Health Resources and Services Administration provides ongoing support for MCH Extramural Research activities, including the EnRICH webinars series. This presentation is on Secondary Use of Electronic Health Data for Child Health Research and will address how to re-use existing clinical data in electronic health records to better understand health and healthcare patterns. The presenter will also address new skills for health services researchers.

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.

Annotation:

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.

Annotation: A presentation of recent data from national surveys and data sets on access, health status, and mortality patterns for children and youth in rural areas, along with resources and information on improving the health of these populations.

Special Instructions: DataSpeak uses a number of different technologies. To get the most out of the information, please review the technical requirements at http://hrsa.gov/archive/mchb/dataspeak/techreq/index.html

Annotation: This presentation focuses on how states are working to improve vital statistics timeliness and data sharing, and how this is helping to inform and improve programs and health outcomes for women and infants. Topics include the importance and need for improving timeliness of vital records data; efforts underway to make vital statistics more current and thus more useful for public health program purposes; work being done to provide more timely data on infant mortality in Michigan in order to better inform programs working to improve outcomes, with a focus on the Collaborative Improvement & Innovation Network (COIIN) to Reduce Infant Mortality; and how Ohio compiles, augments, and uses the data in its public health data warehouse with a focus on using the State and Territorial Exchange of Vital Events (STEVE) System. Vital statistics—the data and health indicators collected from vital records on births and deaths—are an important source of data for answering national and state health questions. Birth and death records allow states to track maternal, fetal, and infant mortality, adverse birth outcomes, delivery characteristics, and maternal risk factors, among other statistics. Improving the timeliness of these records is essential to making sure they are most useful for monitoring and advancing public health efforts in real time.

Special Instructions: Webinar recorded using Adobe Connect. Post-Webinar Q&As (PDF – 129 KB): https://mchb.hrsa.gov/sites/default/files/mchb/MaternalChildHealthInitiatives/dataspeak/april2015qas.pdf Transcript (PDF – 254 KB): https://mchb.hrsa.gov/sites/default/files/mchb/MaternalChildHealthInitiatives/dataspeak/april2015transcript.pdf

Annotation: This pre-course webinar for the 2015 Training Course in MCH Epidemiology provides an overview of MCH epidemiology including the basics of analytic methods, the sampling framework, and the epidemiologic framework.

Annotation: The National Survey of Children’s Health (NSCH) is funded and directed by MCHB with data collection coordinated by the U.S. Census Bureau. The survey examines the physical and emotional health of children from birth through 17 years of age with emphasis on factors that may be related to the well-being of children, including medical homes, family interactions, parental health, school experiences, and neighborhood safety. It has been redesigned, and will now also include new and revised content on a range of topics, including items of special relevance to Children and Youth with Special Health Care Needs and their families. The speakers will give an overview of the new NSCH as well as show how the Data Resource Center (DRC) resources can help optimize the use of the NSCH as well as other data on child and family health.

Special Instructions: DataSpeak uses a number of different technologies. To get the most out of the information, please review the technical requirements at http://hrsa.gov/archive/mchb/dataspeak/techreq/index.html

Annotation: This DataSpeak provided an orientation to the newly-developed and pilot-tested State Systems Development Initiative (SSDI) Minimum/Core Dataset Implementation Guide. The guide was created to support states in applying uniform standards to the development of the Minimum/Core indicators and included all Minimum/Core Dataset measures, data elements, data sources, procedures, and a recording mechanism. This orientation webinar included a high-level mapping of the Guide, Workbook, and Lookup Table contents, as well as a review of the instructional, data access, and recording processes.

Learning Objectives: • Define the purpose of the Guide. • Describe the major components of the Guide, the Workbook and Lookup Table. • Explain how to follow the instructions to get the required data in the Guide and record it in the Workbook. • The general overview presented in this webinar is a preview for a more in-depth presentation scheduled for the AMCHP Conference in January 2016.

Special Instructions: DataSpeak uses a number of different technologies. To get the most out of the information, please review the technical requirements at http://hrsa.gov/archive/mchb/dataspeak/techreq/index.html