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Displaying records 1 through 7 of 7 found.

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

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

Where To Find MCH Resources: An Introduction. Year Developed: 2017. Source: National Center for Education in Maternal and Child Health. Presenter(s): Keisha Watson and John Richards. Type: Narrated Slide Presentation. Level: Introductory. Length: 18 minutes.

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

Developing Evidence About Public Health Services. Year Developed: 2015. Source: Northwest Center for Public Health Practice. Presenter(s): Betty Bekemeier, PhD, MPH, FAAN. Type: Webinar Archive. Level: Introductory. Length: 60 minutes.

Annotation: In this one-hour webinar, which is part of the Hot Topics series, Betty Bekemeier, PhD, MPH, FAAN, reviews the importance of collecting standardized data and demonstrates how the information is being used to make the case for public health services. The intended audience is local, state, and tribal public health professionals; Program staff and managers working in environmental health and communicable disease prevention. A recording, slides, and a slides handout are available.

Learning Objectives: • Describe ways in which local health department administrative data can be used to demonstrate the value of public health services. • Describe the need for and value of standardized public health services data for public health performance, advocacy, and building evidence. • Describe opportunities for filling critical gaps in local public health services data.

Special Instructions: NWCPHP trainings are accessed through PH LearnLink.

Big Data in Early Childhood; Using Integrated Data to Guide Impact. Year Developed: 2015. Source: Association of Maternal and Child Health Programs. Presenter(s): Elizabeth Anthony, PhD; Jen Leone, MPH; Rebekah Dorman, PhD. Type: Video. Level: Intermediate. Length: 63 minutes.

Annotation: This video conference profiles a large urban county experience in creating a unique integrated database comprised of public and private sector records on children zero‐six years of age. This community’s experience serves as a powerful example of how data can inform the decision making of funders, policymakers and providers. The presentation includes a description of how the integrated child well‐being database was created over 12 years, as well as how it is utilized on an ongoing basis to inform policy and practice. With records on more than 400,000 children born in the county, the data system links together information on births, child maltreatment, receipt of public assistance, as well as engagement in programming such as home visiting, child care, and mental health services. Collectively, the experience of over a decade shows the power of data in informing policy and program improvement. The presentation also addresses the challenges that have been faced and overcome regarding practical issues around data sharing agreements and securing data from many different public and private providers into an integrated dataset. It also addresses how to build a strong relationship between the government officials, academics, and the program providers so that trust and collaboration form the basis for improving the services available to children and their families.

Getting to Know your Data: Principles for Evaluating and Cleaning Data before Performing Statistical Analyses. Year Developed: 2013. Source: Clinical Directors Network (CDN), Center of Excellence for Primary Care Practice-Based Research and Learning and the Community Health Applied Research Network (CHARN), Central Data Management and Coordinating Center (CDMCC). Presenter(s): Mary Ann McBurnie, PhD. Type: Webinar Archive. Level: Introductory. Length: 60 minutes.

Annotation: This webinar presentation gives an introductory review on how to prepare data for statistical analyses. Dr. McBurnie explains characteristics to look for within datasets including impossible and improbable values, outliers, illogical patterns and text or alpha variables. Also discussed are strategies for exploring/cleaning pubic health data and an in-depth review of raw data charts, histograms and other statistical output. This presentation was funded by the Agency for Healthcare Research and Quality (AHRQ) grant number 1 P30-HS-21667. this webinar gives an introductory review of how to .action

Learning Objectives: •Learn strategies for cleaning, analyzing and interpreting raw data. •Learn strategies for correctly coding data and how to encounter questionable values. •Review raw data charts and interpret results.

Special Instructions: Registration required.

Continuing Education: 1.0 prescribed credits by the American Academy of Family Physicians (AAFP)

Basic Concepts in Data Analysis for Community Health Assessment. Year Developed: n.a.. Source: Washington State Department of Health, Northwest Center for Public Health Practice. Presenter(s): n.a.. Type: Online Course. Level: Introductory. Length: 45-60 minutes per module, 5 modules.

Annotation: This 5 module series discusses various data sources that are commonly used for public health assessment and how to analyze and interpret data for public health purposes. Participants will learn how to identify data sources as well as identify their strengths and limitations for public health research.

Learning Objectives: Module 1--Overview of Public Health Data • Define screening. • Identify uses of data in public health core functions. • List at least three common data sources used to characterize the health or disease status of the community. • List five key attributes of data. • List three elements to consider when assessing data quality. Module 2--Analysis and Interpretation of Public Health Data, Part 1 • Explain the purpose of descriptive epidemiology and how it is used for assessment. • Describe why rates are important in doing assessment. • Name three kinds of rates. • Describe the two types of summary measures. • Explain the purpose of standardizing rates through age adjustment. Module 3--Analysis and Interpretation of Public Health Data, Part 2 • List six measures commonly used in public health. • Describe the difference between uses of incidence and prevalence rates. • Explain different ways to measure statistically significant difference. • Describe how to deal with the problems of unstable rates and small numbers. Module 4--Data Available to Public Health Professionals • List the eight Washington data sources commonly used for public health assessment. • Describe characteristics of each data set and how each set is used in assessment activities. • Describe where to access each data source. Module 5--Presenting Public Health Data • List the common ways to present data. • Choose an appropriate format to present specific kinds of data. • Identify good design practices for tables and charts.

Special Instructions: To access this course, you first need to create an account.

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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.