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Displaying records 1 through 8 of 8 found.

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 Conference. Level: Intermediate Introductory. 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.

Think Different with Your Data. Year Developed: 2013. Source: GovLoop. Presenter(s): Damon Davis, Kash Badami. Type: Webinar Archive. Level: Introductory. Length: 60 minutes.

Annotation: The first half of this presentation provides and overview of the U.S. Department of Health and Human Services (HHS) Health Data Initiative (HDI). Additional key points discussed include the following: • Highlighting departmental assets that support achieving HHS strategic initiative and an increased focus on strategic data liberation. •Educating new and existing, internal and external participants in the HHS ecosystem about data's availability for innovative applications and disseminating the data for problem solving. •Measuring the outcomes and impact of the HDI. The second half of the presentation focuses on MarkLogic, its use, technical description and key customer examples. At the end of the presentation, Q&A with attendees are included.

Learning Objectives: • Learn the need for innovation beyond legacy technology. • Learn tips and tricks for agile application development. • Learn how to get the right information to your end-users in real-time. • Learn how to provide even better service to your constituents through better data analysis. • Explore case studies of agencies that are leading the pack including CMS and FAA.

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)

Translating Data into Public Health Priorities. Year Developed: 2009. Source: University of Minnesota Centers for Public Health Education and Outreach. Presenter(s): Linda Olson Keller, DNP, APHN-BC, CPH, FAAN. Type: Narrated Slide Presentation; Webinar Archive. Level: Intermediate. Length: 6 sessions, ranging in time from 8 to 75 minutes each.

Annotation: This interactive session introduces a practical overview of the community assessment and planning process for local health departments. Participants are given the opportunity to access sources of data for their region/county electronically and via paper (through worksheet provided for download). Participants organize their data and begin the process of applying meaning to their assessment data. The video training consists of six sessions, which range in time from 8 to 75 minutes each. The training ends with a discussion of priority setting for public health issues identified in the work session. A handout and worksheet are available for download.

Learning Objectives: • Describe the phases of the community assessment and planning process. • Identify and access key sources of state and county-level population data. • Describe the types, strengths, and limitations of quantitative and qualitative data. • Describe a framework for organizing public health data. • Identify a model for prioritizing community public health issues.

Special Instructions: Scroll down to the MCPLH section and continue scrolling until you see "Translating Data into Public Health Priorities." You need to register or log in to access the training.

Continuing Education: 0.225 CEU or 3 CPH recertification credits upon completion of post-test.

DataSpeak Webinar Series. Year Developed: n.a.. Source: Maternal and Child Health Information Resource Center. Presenter(s): n.a.. Type: Webinar Series. Level: Introductory Intermediate Advanced. Length: Series; various lengths.

Annotation: This webinar series features special topics related to maternal and child health (MCH) data. Each event features one or more speakers who are considered experts in their field. The MCH Epidemiology and Statistics Program coordinates the series. The program is dedicated to the goal of helping MCH practitioners on the federal, state, and local levels to improve their capacity to gather, analyze, and use data for planning and policymaking.

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

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 $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.