Improving Quality and Assessing Impact at the Child Level on an Orphans and Vulnerable Children...

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Improving Quality and Assessing Impact at the Child Level on an Orphans and

Vulnerable Children (OVC) Program in Africa using an Adapted Child Status

Index (CSI)

Sandra Dalebout, Project HOPE

Presenter disclosures

(1) The following personal financial relationships with commercial interests relevant to this presentation existed during the past 12 months:

Sandra Dalebout

“No relationships to disclose”

Program background

Sustainable Strengthening of Families of Orphans and Vulnerable Children in Mozambique and Namibia•USAID Funded project• April 4, 2005 to April 2, 2010• Aim: Improve economic status and quality of life of

45,000 OVC and strengthen the capacity of families to provide care and support to 75,000 OVC

Program area

Gaza and Zambezia Provinces, Mozambique

Omusati, Oshana, and Ohangwena Regions, Namibia

Integrated model

Provide to OVC caregivers: •health education•parenting skills training across multiple domains•economic strengthening •volunteer home visits

Measuring impact at caregiver level

• Since program inception, collecting data at the caregiver level to measure economic impact of program (encompassing quality of housing, household assets, nutrition, vulnerability and reported income)

• Data is collected at baseline & follow up after 1 year

Caregiver economic impact - % exceeding specific economic standards

47%

63%62%

72%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Namibia Mozambique

Baseline Recollection (1 yr)

Measuring impact at child level

• Since program inception, collecting data at the child level to measure:• economic impact of program• some child level indicators across domains

• Data is collected at baseline & follow up after 1 year

Child impact: nutrition (Namibia)

Child Status Index (CSI)

• Tool developed by Duke University & MEASURE EVALUATION in collaboration with USAID

• Designed to help OVC programs better meet the needs of OVC across six domains (health, nutrition, shelter/care, education, protection, psychosocial support).

• Uses descriptive statements (has enough, looks like, is sometimes)

CSI picture

Field team meeting

• Discussed using the CSI• Conducted a detailed

review of CSI form• Consensus across

countries

Team review results

• Too complicated for low literacy volunteers to use in their household visits in our programs

• Team did not want to lose the greater detail and clearly defined indicators we were already collecting

CSI PH Indicators

Food & Nutrition

1. Food security 2. Nutrition & Growth

Child has sufficient food to eat at all times of the year

Child is growing well compared to others of his/her age.

Nutrition & Development

Growth monitoring (< 5)

Appears same height & weight as others his/her age

Received 4 meals in last 2 days

Eats food from all groups in last 2 days

Tool re-design

• Team developed a tool that…• Low literacy volunteers and caregivers could use easily at

the household level, using a simple happy or sad face approach

• Shows caregiver goals for the child (in line with our

curriculum) and where they are in meeting them• Can be used at multiple levels (household, community,

region, project) to see progress and identify gaps

Field Testing

• Field staff reviewed, trained, and tested parenting map

• Local cartoonist hired to do artwork

• Field tested with staff, volunteers, two different groups of OVC caregivers

Final product: “Parenting map”

Results

• To date, we have collected 2,922 parenting maps from Namibia and Mozambique in a short period of time

• The next data collection period is scheduled for January 2009

Results across domains

Results: health indicators

Data collection results

Next steps

• Share analysis at the community level with volunteers, community leaders, & MOH to address community-wide issues

• Recollect data in 6 months to assess status

• Continue working to improve lives of OVC!

Conclusion

• Tool acceptability and buy-in from field staff and caregivers

• Sustainable tool that generates data results with clean data

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