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Displaying records 1 through 10 of 57 found.

Public Health Systems Modernization: State Approaches to Connecting Siloed Public Health Data. Year Developed: 2022. Source: Altarum. Presenter(s): Jim Kamp, Aasa Schmit, Jeff Duncan, Jon Reid, Rachelle Bouton. Type: Video. Level: Intermediate. Length: 60 minutes.

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.

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.

Ensuring the Data System Used for Public Health Centers Equity and Well-Being. Year Developed: 2022. Source: Mathematica. Presenter(s): Dawn Heisey-Grove, Alastair Matheson, Alonzo Plough, Artair Rogers, Vivian Singletary, Deliya Banda Wesley. Type: Video. Level: Intermediate. Length: 90 minutes.

Annotation: Efforts are underway to reimagine and transform the data system used in public health so it doesn’t just identify, manage, and respond to disease—it also promotes holistic well-being. Plans for modernizing the public health data system must ensure that it supports a complete picture of all the communities affected by poor health outcomes—as well as the underlying reasons those communities are affected—to inform efforts to advance health equity. Doing so requires a data system that includes upstream influences on health, such as social determinants of health and the policies and systems that perpetuate inequities. It coordinates across public and private sectors. It is inclusive in terms of how and by whom the data are collected, analyzed, and interpreted, and it centers community involvement throughout the data life cycle. This virtual discussion includes experts who are leading efforts across the United States to reimagine public health data to become more effective at promoting the public’s health and addressing root causes of health inequities. These perspectives range across the sectors involved in generating, shaping, and interpreting public health data including philanthropy, local public health agencies, technology, and community-based organizations. The gathered experts will share their experience and vision for transforming the public health data system.

Learning Objectives: • Learn how public health data can be effective at promoting the public's health and addressing root causes of health equity • Learn multiple perspectives for transforming the public health data system

MCHB Technical Assistance Provider Webinar: COVID-19 Impacts and Next Steps. Year Developed: 2021. Source: Maternal and Child Health Bureau. Presenter(s): Michael Warren, MD. Type: Webinar. Level: Introductory. Length: 187 minutes.

Annotation: This presentation, conducted by MCHB, provides a COVID-19 impact overview and recap. Next, breakout discussions are held around 2 topic areas: 1) vaccinating MCH populations and 2) strengthening mental health supports for families.

Learning Objectives: Highlight the role of the TA Providers in: •Supporting the goals of MCHB in building a nation where all mothers, children and families are thriving. •Supporting grantees and/or the MCH field and the system of services for MCH populations, particularly around the impacts of COVID-19. •Amplifying expertise into respective topical areas/audiences. •Describing strategies and successes for the purpose of replicating within the scope of their work.

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

Innovative Approaches to Collecting Needs Assessment Data. Year Developed: 2020. Source: Maternal Health Learning Innovation Center. Presenter(s): Rebecca Gillam, Chris Tilden. Type: Video. Level: Introductory. Length: 13 minutes.

Annotation: Kansas University Center for Public Partnerships & Research reports on efforts to use innovative mixed-methods approaches to engage and involve families and community members in a statewide needs assessment. This broad-based approach provided opportunities for hundreds if not thousands of Kansans to participate in a statewide needs assessment and to provide a unique lens on issues that helped the state develop a meaningful, responsive, strategic plan to address maternal and child health issues in the state in the coming years.

Learning Objectives: • Learn four methods used to reach traditionally unheard voices in typical data collection including: 1) electronic kiosks, 2) our tomorrows stories, 3) youth photo project, and 4) regional and interactive open houses

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

Sources and Utilization of Secondary Data for MCH Research. Year Developed: 2019. Source: Maternal and Child Health Bureau, Division of Research. Presenter(s): Alek Sripipatana, PhD, MPH; Russell Kirby, PhD, MS, FACE. Type: Webinar. Level: Intermediate. Length: 60 minutes.

Annotation: Emerging public health challenges require timely, multidimensional and evidence-based resources from Maternal and Child Health (MCH) programs, policy, and practice. Without sufficient data, it is difficult to address key and emerging MCH issues. The HRSA/MCHG R40 MCH Secondary Data Analysis Research Program (MCH SDAR) funds studies using existing publicly available, national datasets to examine new research questions and test new hypotheses with the potention for intervention.

Learning Objectives: • Identify data sources for MCH and health services research. • Explore the strengths and weaknesses of utilizing secondary datasets in MCH research. • Learn how to access and utilize HRSA's Uniform Data System (UDS) and other surveillance data for MCH research.

Making Sense of Numbers: Understanding Risks and Benefits. Learning How to Communicate Health Statistics. Year Developed: 2019. Source: National Network of Libraries of Medicine, Pacific Northwest Region. Presenter(s): Nancy Shin. Type: Webinar. Level: Intermediate. Length: 90 minutes.

Annotation: Numeracy literacy is not only a problem for individuals receiving health information but also for those providing information that contain numbers. This class is a basic introduction for anyone who wants to understand how to communicate health information that involves numeracy. The purpose of this class is to understand risk and benefits from a layman’s perspective and to understand that the communication of numbers must be clear and easy to understand. In this 1.5 hour class, participants will also be introduced to several NLM and NIH tools that will help in the development of educational materials. Audience is anyone providing health information to the general public, including healthcare instructors, public and medical librarians, patient educators.

Learning Objectives: Participants will be able to: • Understand their role in risk communication and health numeracy. • Understand risk and benefit statistics from a layman’s perspective. • Understand that the communication of numbers must be clear and easy to understand. • Understand that numeracy is a key component of health literacy and shared decision making in managing one’s health.

Continuing Education: This class is eligible for Consumer Health Information Specialization continuing education credit awarded by the Medical Library Association.

Making Sense of Numbers: Understanding Risks and Benefits. Communicating Numerical Health Information. Year Developed: 2019. Source: National Network of Libraries of Medicine, Pacific Northwest Region. Presenter(s): Michelle Burda. Type: Webinar. Level: Intermediate. Length: 90 minutes.

Annotation: Numeracy literacy is not only a problem for individuals receiving health information but also for those providing information. This class is a basic introduction for anyone who wants to understand how to communicate health information that involves numbers. The purpose of this class is to understand risk and benefits from an individual's perspective and to understand that the communication of numbers must be clear and easy to understand. In this 1.5 hour class, participants will also be introduced to several NLM and NIH tools that will help in the development of educational materials. Audience is anyone providing health information to the general public, including healthcare instructors, public and medical librarians, patient educators.

Learning Objectives: Participants will be able to: • Understand their role in communicating health risks and benefits to individuals. • Understand risk and benefit statistics from an individual's perspective. • Understand that the communication of numbers must be clear and easy to understand. • Understand that numeracy is a key component of health literacy and shared decision making in managing one’s health.

Continuing Education: This class is eligible for Consumer Health Information Specialization continuing education credit awarded by the Medical Library Association.

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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 $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.