slide1
Download
Skip this Video
Download Presentation
Regional Technical Working Group Meeting on Developing Nutrition Information Systems

Loading in 2 Seconds...

play fullscreen
1 / 24

Regional Technical Working Group Meeting on Developing Nutrition Information Systems - PowerPoint PPT Presentation


  • 91 Views
  • Uploaded on

Regional Technical Working Group Meeting on Developing Nutrition Information Systems Nairobi, 1-3 Feb 2007 Aims of Nutrition Information John B Mason, Tulane SPHTM. Area level survey results, Kenya: GAM % by season. Area level survey results, pooled & smoothed: Kenya, GAM%, by season.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Regional Technical Working Group Meeting on Developing Nutrition Information Systems ' - herman-poole


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
slide1

Regional Technical Working Group Meeting on Developing Nutrition Information Systems

Nairobi, 1-3 Feb 2007

Aims of Nutrition

Information

John B Mason, Tulane SPHTM

slide10

Uses of information can be distinguished into:

  • long-term planning and policy-making
  • programme monitoring and evaluation
  • timely warning to pre-empt and mitigate crises
slide11

Usual sources of data are:

  • repeated large-scale surveys (e.g. natl, DHS, MICS)
  • area level surveys (e.g. 30 by 30)
  • reporting systems using data from clinics, screeening, programmes
  • sentinels systems, from sites (e.g. clinics) or special surveys
slide13

Trends give the most useful information

  • Note: evaluation only really works with before-after + with-without data
slide14

Technical issues for surveys

  • sampling procedures
  • mortality estimates
  • indicators
slide15

Sampling procedures

  • PPS, then issue is at last stage
    • Options: spin-the-bottle; segmentation-full enumeration; segmentation then sample
  • Consider bias; re-estimating pop numbers (for weights)
  • Depends on feasibility (incl. habitation features: e.g. along road/river vs round); and use
    • Compare results with norms, use for targeting, get trends
slide16

Child mortality estimates from area level surveys

  • Issues are
    • Estimate and state confidence intervals, which will be wide with 30*30 design, and calculate design effect
    • Care in interpreting these -- e.g. what does 0.5-2.0/10,000/day over last 3 months mean?
slide17

Indicators

  • Malnutrition can worsen without showing in wasting -- see Srn Africa 02-3: use wt/age if possible
  • Evidence suggests: interpret wasting WITHIN populations, not across, because of different growth patterns and relations to mortality
  • More focus on getting ages?
slide20

Maternal and new born data

Birth weight relates to maternal BMI, but that is not directly related to MMR as indicator of health care ...

slide21

Different relations between GAM% and child mortality in different populations

Hence interpret GAM within populations, not across ...

slide24

Capacity

  • Enough people?
  • Is this useful for them?
  • Needed skills?
  • Resources and priorities?
  • How to meet these needs…?
ad