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Micronutrient and Health Project: Ethiopia and Malawi

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Micronutrient and Health Project: Ethiopia and Malawi An Assessment of The Distribution of Benefits Among People of Various Asset Classes Harry Cummings, University ... – PowerPoint PPT presentation

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Title: Micronutrient and Health Project: Ethiopia and Malawi


1
Micronutrient and Health Project Ethiopia and
Malawi
  • An Assessment of The Distribution of Benefits
    Among People of Various Asset Classes
  • Harry Cummings, University of Guelph
  • Linda Beyer, University of Guelph
  • Tariq Bhanjee, School of Public Health,
    University of Sydney
  • Carolyn Macdonald, World Vision Canada
  • Cathy Brousseau, University of Guelph
  • Comments hca_at_web.Ca

2
Thank You!
  • Reaching the Poor Project for funding the
    research
  • CIDA for funding the MICAH project
  • World Vision Canada, WVEthiopia, WVMalawi for
    supporting the research and project
  • University of Guelph

3
The MICAH Project
  • A five country African intervention focused on
    Micronutrients
  • Funded by CIDA 1995-2002 (Phase 1)
  • Phase 2 currently underway
  • This research focused on 2 MICAH countries
  • The characteristics of the two projects

4
Ethiopia Program Activities(Cad. 10 Million, 6
Years)
  • Focused on vitamin A status of children and
    mothers
  • Vit. A capsules for children and mothers
  • Improving availability of Vitamin A rich foods
  • Reducing disease through improved sanitation and
    water source development
  • Extension materials and education around
    micronutrients for teachers, HCW, villagers
  • Working with schools, clinics and local NGOs
  • Provision of small animals for dietary
    improvement using a revolving fund approach

5
Malawi MICAH Activities(Cad. 8.2 Million Over 6
Years)
  • Reduce anemia and iron deficiency
  • Fortification, supplementation, dietary
    diversification
  • Education on diet and infant feeding
  • Improved health and sanitation through pit
    latrines, clean water, treatment for malaria,
    hookworm and schistosomiasis
  • Reduce iodine deficiency by advocating salt
    iodization through all channels

6
Methodology (1)
  • Main data set involved large household surveys
    done in 2000 in both countries
  • Key informant and focus group interviews carried
    out to supplement quant. data
  • Supported by secondary data on national incidence
    levels
  • Extensive reports on baseline conditions in MICAH
    areas available

7
Methodology (2)
  • Analysis focused on assessing distribution of
    beneficiaries and participants across asset
    classes
  • Comparison to start of project condition and/or
    national statistics where possible
  • Assets analysis involved recording
    presence/absence of 13 asset variables for survey
    households
  • Principal components analysis (PCA) applied to
    asset data and summary asset level for each
    household calculated
  • Summary asset level from PCA divided by household
    size to standardize asset per member

8
Methodology (3)
  • Summary asset variable used to produce a new 1 to
    5 variable representing asset quintiles
  • Asset level (quintile) compared to key outcome
    and participation variables for MICAH to
    determine program effect or potential affect by
    asset quintile

9
Results Ethiopia (1)
  • Asset Class is not a factor, chi-square 1.366 not
    significant, poor/rich ratio 1.08
  • MICAH supported community workers went directly
    to homes of pregnant mothers with Vitamin A and
    developed data base

10
Results Ethiopia (2)
  • Asset Class is a factor, chi-square 30.79,
    significant, poor/rich ratio .92, correlation
    coefficient .08
  • Lower asset classes less likely to know of cause
    of night blindness (Vit. A related) and less
    likely to act
  • Education around night blindness promoted by
    MICAH and Vit A coverage for children in MICAH
    areas (67) better than in country (54, DHS,
    2000)

11
Results Malawi (1)
  • Asset Class is not significant, chi-square 4.614,
    poor/rich ratio .98, correlation coefficient not
    significant
  • Effective targeting of the poor by MICAH
    volunteers

12
Results Malawi (2)
  • Asset Class is significant, chi-square 31.975,
    poor/rich ratio .87, correlation coefficient .109
    and significant
  • Better coverage for Micah (76.5) than for DHS
    (2000) survey (46.0) but coverage still favors
    high asset classes

13
What Works (1)?
  • Identify the needy using participatory techniques
    and deliver program to them with volunteers
  • For each outcome desired, have a target
    associated with the asset poor
  • Mobilize and empower community volunteers for
    tablet distribution and effective program
    targeting
  • Mass campaigns covering all targeted group using
    volunteers and Govt Health Workers
  • Establish appropriate community committees i.e.
    water, Vitamin A

14
What Works(2)?
  • Have those that can afford pay (for tools, seeds)
    and provide extra support from the money received
    to reach the lower asset groups
  • Government agencies and NGOs work together to
    extend their reach
  • Other

15
Questions.
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