Access trainings by the type of learning that matches your need:

Self Directed: Know what you want to learn?

Looking for some assistance to help you find what you're looking for?
MCHfast Guided Search

Still looking or need assistance? You can always ask for Help.

Semi-Structured: Looking for trainings grouped according to your need?

Self-Reflective. Not sure of your learning needs? Take the online Self-Assessment.

Fast & Focused. Want to learn on the go? Sign up for one of our Micro-learning programs.

Intense & Immersive. Looking for a comprehensive course that covers everything? Access the MCHsmart curriculum - Coming Soon.

Focus Areas. Need specialized resources?

Edit Your Search

Level:

Accessible:

Continuing Education:


New Search

Search Results

Search Results

Displaying records 1 through 10 of 20 found.

Innovations in Federal Surveys to Assess the Impacts of the COVID-19 Pandemic on Children & Families. Year Developed: 2022. Source: Maternal and Child Health Bureau. Presenter(s): Michael Kogan, Reem Ghandour, Jessica Jones, Anika Schenck-Fontaine, & Olivia Sappenfield. Type: Webinar. Level: Intermediate. Length: 74. minutes.

Annotation: Over the past two years, the COVID-19 pandemic has caused significant disruptions in the lives of U.S. children and their families, including their health, health care access, receipt of intervention and other services, education, and child care arrangements. Accordingly, HRSA MCHB has taken steps to ensure that public health programs are prepared to meet these challenges and that researchers have access to relevant data. This symposium provides participants with an overview of resources for both immediate and long-term analytic needs. Specifically, this session presents three projects to collect data on the impacts of the COVID-19 pandemic on children and their families: The National Survey of Children’s Health (NSCH), a new longitudinal cohort study of past NSCH respondents to launch in 2023, and the results of MCHB-sponsored content included in the Census Bureau’s weekly Household Pulse Survey.

Learning Objectives: • Discuss overviews of three projects to collect data on the impacts of COVID-19 on children and families. • Learn survey content and how to access survey data. • Review relevant timelines of data availability.

Improving Health Equity With Data. Year Developed: 2022. Source: Association of State and Territorial Health Officials. Presenter(s): Nicole Alexander-Scott, MD; Harry Chen, MD; Anna Bradley, MS, CHES. Type: Podcast. Level: Introductory. Length: 28 minutes.

Annotation: Health equity is a top priority for many health agencies. Public health leaders can use performance management systems to advance health equity goals by systematically collecting and monitoring data to track results and identify opportunities for improvement. On the latest episode of the Public Health Review podcast, ASTHO senior executive consultant Nicole Alexander-Scott (alumni-RI), Harry Chen (alumni-VT), and Montana's state health improvement coordinator, Anna Bradley, discuss how the current equity efforts can integrate with established performance management practices.

Learning Objectives: • Learn how current equity efforts can integrate with established performance management practices. • Discuss how health agencies can use planning documents to integrate equity in health assessments and strategic planning.

MCH Essentials Series. Year Developed: 2021. Source: Association of Maternal and Child Health Programs. Presenter(s): n.a.. Type: Online Course. Level: Introductory. Length: Self-paced.

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

Utilizing Data Sciences Resources to Prepare and Package Integrated Datasets. Year Developed: 2020. Source: Life Course Intervention Research Network. Presenter(s): Joshua Denny MD, MS; Nicholas Tatonetti PhD; Norina Allen PhD. Type: Webinar. Level: Intermediate. Length: n.a..

Annotation: Life course research embraces the complexity of health and disease development by tackling the extensive interactions between genetics and environment. Life course research is not simply research across the lifespan but, instead, articulates the importance of complex systems science as a methodological framework to guide our research questions. This webinar focuses on Utilizing data science resources to prepare and package integrated datasets to make them accessible for researchers to generate and test new hypotheses.

Learning Objectives: • Discuss the importance of utilizing data from diverse sources for life course research • Learn how to collect and harmonize data across multiple sources • Discuss the process of harmonizing data from large retrospective and prospective studies

Tools for Data-Powered Discovery: NLM's Data Discovery and Pillbox. Year Developed: 2019. Source: National Library of Medicine. Presenter(s): n.a.. Type: Webinar. Level: Introductory. Length: n.a..

Annotation: As the National Library of Medicine transitions to become a platform for biomedical discovery and data-powered health, one area of focus is building a workforce for data-driven research and health. In support of this strategic goal, NLM launched Data Discovery, an online platform for making data findable, interoperable, accessible, and reusable (the FAIR principles). In addition to browser-based exploration, filtering, and visualization of data, Data Discovery includes Application Programming Interfaces (APIs) to help researchers and developers build applications that leverage its datasets. Pillbox, NLM’s pill identification and reference resource, long overdue for redesign, was rebuilt using Data Discovery as its foundation to showcase the power of this platform. This session: 1) provides a brief history of these efforts as they relate to NLM’s 2017-2027 Strategic Plan, 2) demonstrates how to explore, filter, and create visualizations using NLM datasets hosted on Data Discovery, and 3) demonstrates the redesigned Pillbox website and illustrate how hosting its data on Data Discovery empowers users without disrupting the traditional web application experience.

Learning Objectives: • Recognize featured NLM resource. • Know how to locate the specific resource featured. • Explain to others when to use the featured resource.

Continuing Education: 1 Medical Library Association CE credit

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 Intermediate. Length: 60 minutes. Slides

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.

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. Level: Intermediate. 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.

Performance Measures Update-Division of MCH Workforce Development. Year Developed: 2017. Source: Health Resources and Services Administration. Presenter(s): Lauren Ramos; Michelle Tissue. Type: Webinar. Level: Intermediate. Length: 45 minutes.

Annotation: This archive recording provides: • A review of changes in DMCHWD-specific performance measures and administrative data collection forms • Tips on how to complete cross-program data collection forms •A review of performance reporting timelines in the new Discretionary Grant Information System (DGIS), and • An opportunity for Q&A with DMCHWD staff

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

Data-Driven Leadership: Lead with Data-Driven Decisions and Predictive Analytics. Year Developed: 2016. Source: GovLoop. Presenter(s): Alan S. Berson. Type: Video. Level: Advanced. Length: 20 minutes.

Annotation: Leading with the cold hard facts can be a reassuring method to know you’re making the best decisions for your organization. But this can be challenging at times when you have to discern between “good” data and “bad” data. Harnessing methods for data analysis is easier said than done, but it can make all the difference in leading your organization. This course is led by Dr. Henry Thibodeaux, Assessment and Evaluations Leader in the Office of Personnel Management, and Allen Schweyer, Executive Director of Talent Management and Leadership University. The course comprises an overview and introduction, 5 lessons, and a post-course survey.

Learning Objectives: • Discern the difference between correlation and causation. • Understand the importance of framing data analysis with precise questions and objectives. • Learn to distinguish “good” data from “bad” data. • Gain familiarity with several common data analysis techniques and where they should be used.

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.

Next »

New Search View My Citations

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 $225,000/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.