Training Course in Maternal and Child Health Epidemiology

2017 Training Course in

Maternal and Child Health Epidemiology

Clearwater Beach, FL
Wyndham Grand Hotel
June 12-16, 2017
The application period for this training course is closed.
MCHB, CDC, and CityMatCH are offering a Training Course in Statistical MCH Epidemiological Methods as part of their ongoing effort to enhance the analytic capacity of state and local health agencies. The training course combines lectures, discussion, hands-on exercises, and opportunities for individualized technical assistance.

Course Content (See Full Draft Agenda below)

Content will include background and methods for the following, as they relate to the MCH planning cycle: Needs Assessment and Priority Setting, Perinatal Periods of Risk (PPOR), Performance Measurement, Multivariable Analysis and Regression Modeling, Program Evaluation, Social Determinants of Health, Quality Improvement, Effective Data Presentation and Translation

Logistical Details

  • The online application period was mid-January 2017 to February 17, 2017.
  • Applications have been competitively reviewed, and acceptance notifications will be issued by late March.
  • Note: All state health department applicants are required to submit a letter of authorization from their supervisor or state Title V director, indicating support for the training and approval of time out of office. Unsupported applications will not be accepted. 
  • Completed applications must be submitted online by 11:59 p.m. PST February 17, 2017. No late applications will be accepted.
  • A limited number of scholarships for airfare are available during the application process.
  • There is no charge for the training course and materials for accepted applicants. Additionally, lodging at the Wyndham Grand Clearwater Beach during the course, is included at no charge.
  • Training begins 2:00PM Monday, June 12, and concludes by 1:00PM Friday, June 16.

2017 Faculty

2017 Training Course Comprehensive Schedule

  • Comprehensive Schedule (PDF)

  • Pre-Training Webinars

    • Thursday, June 1 2:00 - 3:30pm EDT - Course Introduction and Overview of MCH Initiatives/Indicators
    • Wednesday, June 7, 2:00 - 3:30pm EDT – Statistical and Epidemiologic Framework for MCH Analysis                              
  • Post Training Webinars – TBD (2 sessions)

  • Pre-Training Homework Assignments (TBD – Look for Upcoming Announcement)

On-Site Training Agenda

Monday, June 12th
Time                      Topic & Faculty
2:00-2:45              Opening remarks/introductions (Hirai)
2:45-4:00              Needs Assessment Overview and Part 1 Lecture: Health Problem
                             Identification and Measurement  (Sappenfield)
4:00-5:00              Needs Assessment Individual/Group Exercises—Q Sort and Criteria-Based
                             Ranking (Sappenfield)
5:00-6:00              Group Activity (All)
6:00-8:00              Reception  (All)
Tuesday, June 13th
8:30-10:00           Analytic Approaches to Support Needs Assessment Part 1:  Methods for Summarizing Data  (Rankin)
10:15-11:15         Needs Assessment Part 2: Analysis of Particular Health Problems  (Sappenfield)
11:15-12:30         PPOR Phase I Lecture and Exercise (Sappenfield)
1:30-2:45             PPOR Phase II Lecture and Exercise (Sappenfield)
3:00-5:00             Analytic Approaches to Support Needs Assessment Part 2: Relative,
                              Absolute and Impact Measures (Rankin/Hirai)
5:00-5:30             Faculty Q&A (optional) – Sign up slots will be available (All)
Wednesday, June 14th
8:30-9:30             Analytic Approaches for Performance Measurement  (Hirai)
9:30-11:00           Multivariable Approaches for Supporting the MCH Planning Cycle I: Stratified
                               Analysis and Bias (Rankin)
11:15-12:30         Multivariable Approaches for Supporting the MCH Planning Cycle II:  Intro and
                            Basic Regression Modeling (Rankin/Hirai)
1:30-3:15             Evaluation: Overview, Theory of change, Framework for Evaluation, Logic
                               Models  (O’Campo)
3:30-5:00             Process Evaluation Lecture and Exercise (O’Campo)
5:00-5:30             Faculty Q&A (optional) – Sign up slots will be available  (Rankin/Hirai/O’Campo)
Thursday, June 15th
8:30-10:30           Outcome Evaluation Lecture and Exercise  (O’Campo)
10:45 -12:30         Multivariable Approaches for Evaluation:  Regression Modeling
                               Lecture and Exercise  (Rankin)
1:30-3:00             Social Determinants of Health  (O’Campo)
3:15-5:00             Data Presentation Techniques for the Planning Cycle (Rankin)
5:00-5:30             Faculty Q&A (optional) – Sign up slots will be available (Rankin/Hirai/O’Campo)
Friday, June 16th
8:30-10:15           Analytic Approaches for Quality Improvement (Sappenfield/Hirai)              
10:30-12:00         Effective Data Use and Translation (Sappenfield)
12:00-12:30         Concluding Remarks and Adjourn  (Rankin/Hirai/Fitzgerald)

Additional Resources

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. This year, the course is geared to individuals with basic to intermediate skills in statistical and epidemiologic methods, preferably in MCH or a related field. Please note that we will only consider applicants who work domestically and regularly analyze data rather manage programs.

If you have intermediate to advanced skills and regularly apply regression analysis, we welcome you to apply to next years’ course and review course materials from the 2016 intermediate to advanced course with the archive links listed at the top right.


Contact Maureen Fitzgerald at 402-552-9585 or



Health Resources and Services Administration’s (HRSA) Maternal and Child Health Bureau (MCHB)
The Centers for Disease Control and Prevention

For additional information, contact Maureen Fitzgerald, MPA, CMP
at or by phone at 402-552-9585.


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