Perinatal Performance Measures and Data Collection
 Course ID: 1043406
 Format: Webcast (on demand) (Online)
 Clinical / Non-Clinical: Non Clinical
 Course Number:
 Cost (US$): 0.00
 Credit Type(s): none
 Certificate: TRAIN Certificate of Attendance
Course Description: Perinatal Performance Measures and Data Collection 

Duration:
  1hour 27 minutes 
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State Perinatal Quality Collaboratives (PQCs) are networks of perinatal care providers and public health professionals, working to improve pregnancy outcomes for women and newborns by advancing evidence-based clinical practices and processes.

CDC funds state-wide PQCs in California, New York, and Ohio and is working with these networks to sponsor a series of Webinars. These Webinars are intended to help PQCs share knowledge and experiences, and to teach other states how to start, maintain, and grow their own collaboratives. Webinars will be held every two months. They are available to participants in all states, with a focus on hospitals, physician organizations, and health agencies. 


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Speaker:

Dr. Elliot K. Main, M.D.
Director, California Maternal Quality Care Collaborative (CMQCC)
Professor of Obstetrics and Gynecology
UCSF and, Stanford University School of Medicine 
 
This Webcast discusses perinatal performance measures including identifying and choosing measures, data collection sources, and real-time data feedback systems. Participants can ask questions about how California’s collaboratives have applied these principles to their projects.

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Note:  Once you have launched the url for this course (under Registration tab), please scroll down to the section named "Archived Webinars" to access this archived webcast.****

**This webcast was orginally aired on February 27, 2013.** 

Titles and course IDs of other webinars in the 2012-2013 series:
Subject Area(s):
Maternal / Child Health
Family Planning / Reproductive Health
Education/Training/Exercises/Drills
Audience(s):
Nurses
Public Health
Health Care
Human Services
Background/Role(s): None
Course Language(s):
English
Course Level: Introductory
Core Competencies:
Tier One
    Analytic / Assessment Skills
       Identifies sources of public health data and information
       Identifies gaps in data sources
       Describes the public health applications of quantitative and qualitative data
       Describes how data are used to address scientific, political, ethical, and social public health issues
Registration Required Outside of TRAIN: no
Registration Restrictions:
Sponsor: CDC - Centers for Disease Control and Prevention
Accreditations: none
Special Notes:
Course Contacts
Name: Division of Reproductive Health
Phone: (777) 777-7777
email: drhinfo@cdc.gov
URL:
To access this course, you first need to create an account:
If you already have an account, please login:
User Reviews
 
(2 reviews)
4.5 out of 5 stars
All Reviews
 
Overall Impression Recommends this course: YES  
September 30, 2013
 
Overall Impression Recommends this course: YES  
June 26, 2013
Excellent presentation
 
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