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Displaying records 1 through 6 of 6 found.

Training Course in Maternal and Child Health (MCH) Epidemiology. Year Developed: 2018. Source: CityMATCH. Presenter(s): n.a.. Type: Webinar Series. Level: Introductory Intermediate Advanced. Length: Series; various lengths.

Annotation: This national program is aimed primarily at professionals in state and local health agencies who have significant responsibility for collecting, processing, analyzing, and reporting Maternal And Child Health data. On different years the course is geared to individuals with beginning to intermediate or intermediate to advanced skills in statistical and epidemiologic methods, preferably in MCH or a related field.

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:

Statistical and Epidemiological Framework for Public Health Analyses. Year Developed: 2015. Source: Health Resources and Services Administration, Maternal and Child Health Bureau; Centers for Disease Control and Prevention; CityMatCH. Presenter(s): Deb Rosenberg, PhD. Type: Narrated Slide Presentation. Level: Intermediate Advanced. Length: 77 slides. Audio

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.

Multivariable Approaches for Supporting the MCH Planning Cycle I: Stratified Analysis and Bias. Year Developed: 2015. Source: CityMatCH. Presenter(s): Deb Rosenberg, PhD. Type: Narrated Slide Presentation. Level: Advanced. Length: 25 slides. Slides

Annotation: This webinar for the 2015 Training Course in MCH Epidemiology discusses bias and confounding, confounding and effect modification, the example of ACES and mental health, stratified analysis, and linear models.

2015 Training Course in MCH Epidemiology. Year Developed: 2015. Source: Health Resources and Services Administration, Maternal and Child Health Bureau; Centers for Disease Control and Prevention; CityMatCH. Presenter(s): n.a.. Type: Conference Archive. Level: Introductory Intermediate Advanced. Length: Series; various lengths.

Annotation: This resource provides an archive of the 2015 Training Course in MCH Epidemiology, including pre-course webinars, on-site sessions, and a post-conference webinars. It includes slides for each presentation plus audio files. Each presentation is also entered separately into the course database.

Measurement Selection and Development for Maternal and Child Health Research. Year Developed: 2012. Source: U.S. Maternal and Child Health Bureau, Office of Epidemiology and Research. Presenter(s): James Guevara, MD, MPH; Carole Tucker, PT, PhD. Type: Webinar Archive. Level: Intermediate. Length: 60 minutes.

Annotation: This webinar—hosted by the Maternal and Child Health Extramural Research Program (EnRich)—focuses on best practices and methods for the selection of MCH research measurement instruments. Dr. Guevara begins by defining types of health measures and how to use the health belief model to inform practice. He continues by addressing reliability, validity, and validation of measures. Next, Dr. Tucker covers the development, such as the purpose, population, outcome, granularity, and administration mode, of health measures. She further describes the purpose, advantages and limitations classical measurement approaches, Computer Adaptive Testing (CAT), and Item Response Theory (IRT). A question and answer session conclude the presentation.

Learning Objectives: • To determine best practices for the selection of measurement instruments in maternal-child health research. • To understand methods for measure development in maternal-child health research.

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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.