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Monitoring and Evaluation ofMaternal and Child Nutrition
Session Objectives
By the end of this session participants will be able to:
Apply basic M&E concepts to maternal and child nutrition interventions
Design and use M&E frameworks for nutrition programs
Identify nutrition interventions and common indicators for assessing their results
Describe M&E challenges of nutrition programs
Session Overview
Defining malnutrition
The problem of malnutrition
Interventions and strategies
M&E frameworks for nutrition programs
Common indicators & data sources
M&E challenges
Defining Malnutrition
Malnutrition: generic term includes both undernutrition and overnutrition
Undernutrition: is insufficient consumption to maintain good health caused by (any or all)
insufficient food
poor quality diet
disease
Undernutrition can lead to impaired growth, weak immune function and death if not treated
Defining Malnutrition
Overnutrition is the excess consumption of food, which can lead to obesity and chronic diseases such as heart disease and diabetes.
Most nutrition programs in developing countries have targeted undernutrition, which is the focus of this module.
However, many countries are beginning to experience dual malnutrition epidemics with high levels of both undernutrition and overnutrition.
The Problem
Maternal and child undernutrition is the underlying cause of 3.5 million deaths, 35% of the disease burden in children younger than 5, larger than any other risk category.
20% of children younger than 5 years in low- and middle-income countries are underweight (low weight for age).
32% were stunted (low height for age).
The Problem Among micronutrient deficiencies, the largest disease
burdens among children under 5 are attributed to vitamin A and zinc.
Iron deficiency anemia is highly prevalent (est. ~25% of pregnant women) and a risk factor for maternal mortality.
Iodine deficiency is the primary cause of preventable mental retardation in children and is associated with miscarriage, stillbirths and infant mortality.
How Maternal and Child Nutrition are Linked
Conceptual Framework—
Causes of Malnutrition
Human, Economic, andInstitutional Resources
Nutritional Status
Health Feeding practices
HouseholdFood Security
Potential Resources
Ecological Conditions
Care of motherand child…
gender
HealthServices, Hygiene,
Sanitation
Political and Ideological Structure BasicCauses
ImmediateCauses
UnderlyingCauses
Long term consequences: adult size, intellectual ability, economic productivity, reproductive performance,
metabolic, cardiovascular disease
Short-term consequences:
Mortality, morbidity
Adapted from UNICEF
Nutrition is Critical in Achieving MDGs
#1. Poverty alleviation—an indicator is % children underweight
#2. Primary education—benefits can accrue when nutrition and cognition are adequate
#3. Gender equality—better nourished girls likely to stay in school longer
#4. Child mortality—associated with malnutrition
#5. Maternal health—anemia, iodine deficiency, low BMI associated with MCH indicators
#6. Infectious diseases and HIV AIDS—malnutrition worsens and makes them more susceptible to adverse outcomes
Scaling Up Nutrition (SUN)—Main Elements
Country ownership of nutrition strategies
Scale up of evidence-based interventions, with highest priority on the first 1,000 days (pregnancy through 24 months)
Multi-sectoral approach; integrating nutrition in related sectors/using indicators of undernutrition as measures of progress in related sectors
Scaled up domestic and internal assistance
Interventions and Strategies
Interventions Proven to Reduce Malnutrition When Linked with Health Services (Essential Nutrition Actions)
Vitamin A and iron Iodized salt
Breastfeeding Mother’s nutritionComplementary feeding
Sick/severe cases
Monitoring and Evaluation Frameworks for Nutrition Programs
Results Framework
SO: Vulnerable families achieve sustainable improvement in the nutrition and health status of seven million women and children by 2006
IR1 Service providers improve quality & coverage of maternal and child health & nutrition services & key systems
IR1.1 Coordinate/converge services provided by the Dept. of social services (ICDS) and MOH, e.g. through Nutrition and Health Days, and block planning
IR1.2 Build capacity of service providers, supervisors and managers in the dept. of social services (ICDS) and MOH
IR2 Communities sustain activities for improved maternal and child survival and nutrition
IR2.3 Stronger links between health systems and communities
IR2.2 Increase ownership and participation of community leaders and groups in monitoring health and nutrition services and behaviors
IR2.1 Increase awareness of households & other key audiences about desirable nutrition and health behaviors through multiple channels, e.g. ‘change agents’
Source: Adapted from CARE/India INHP II,
DAP II 2001-2006
Logical FrameworkASSUMPTIONS
- Stable political situation, sustained political commitment and financing
- Sufficient numbers of competent health care personnel and supplies in the government sector
- No natural disaster or disease epidemic
MEANS OF
VERIFICATION
1.Annual reports from MCH services, special surveys
2.Annual reports, special surveys
3.National / local tracking reports (surveillance) of high risk areas/ populations
PERFORMANCEINDICATORS
1.Proportion of children 6-35 months who are malnourished
2. Coverage of essential nutrition actions: exclusive BF, appropriate CF, vitamin A, iron supplements /fortified foods, iodized salt use, coverage of sick and malnourished in special programs
3. Proportion of households at risk of or vulnerable to food insecurity
PURPOSE
Sustainable improvement in the nutrition and health status of women and children through improved services provision and community participation
NOTE: A logic model would allow a program to select indicators that monitor all stages (inputs, process, outputs) of their activities e.g. funds and staff available (inputs), training sessions completed (process), number of skilled workers or villages with trained volunteers (outputs).
Common Indicatorsand Data Sources
Categories of Nutrition Indicators
Nutritional status (macro- and micronutrient)
Breastfeeding practices
Complementary feeding practices
Micronutrient supplements/fortified foods
Improved water & sanitation infrastructure and hand washing behaviors
Individual food consumption, household food security; vulnerability to food and nutrition insecurity
Most Common Indicators
Nutritional status Prevalence of stunting (low height-for-age) Prevalence of wasting (low weight-for-height) Prevalence of underweight (low weight-for-age) in
children; Body Mass Index in adults Anemia prevalence Prevalence of vitamin A deficiency
Most Common Indicators
Infant and young child feeding practices Timely initiation of breastfeeding (within 1 hr) Exclusive breastfeeding rate Introduction of solid, semi-solid or soft foods Continued breastfeeding at 1 years Continued breastfeeding at 2 years Extra feeding for malnourished/recently sick children
Most Common Indicators Micronutrient Interventions
Vitamin A supplementation
Iron supplementation
Coverage with iodized salt, other fortified foods
Zinc supplementation for tx of diarrhea
Household Food Security/Vulnerability
Daily meal frequency of family/individuals
Dietary diversity or dietary adequacy
Perceived adequacy of food reserves in the home/community
Data Collection Systems
Routine
Sentinel food and nutrition surveillance
Institutional health records- clinics, schools, GMP
Feeding & cash or food transfer programs records- daily/weekly/monthly attendance
Non-Routine
Population-based surveys
Special surveys
Emergency appraisals, rapid assessments
Experimental and operational research
Anthropometric Measures (1)
Children:
Weight-for-age (underweight)
Reflects chronic or acute malnutrition or both
Height-for-age (stunting)
Reflect chronic (prolonged, cumulative) malnutrition
Weight-for-height (wasting)
Reflects acute and recent malnutrition
Anthropometric Measurements (2)
Adults:
Body Mass Index (BMI)
Low weight-for-height ( kg/m2) reflects chronic &/or acute
Mid-upper arm circumference (MUAC)
Thin reflects chronic &/or acute
Data Sources for Anthropometry
MCH programs/clinic records
School feeding- school heights.
Food and nutrition, epidemiological surveillance
Poverty mapping/school height census - heights for chronic, weights for current
Reports from emergency/refugee programs
Household surveys
Detecting Low Weight-for-Age
Option B
Table of weight-for-age cut-off points
Option A
Growth chart
Low wt/agebelow this line
Cut-Off PointsLow Weight-for-Age
Girls Boys
Age mths
Age mths
Low wt for age below this line
Statistical Presentation of Anthropometric Indicators
Prevalence
Percent below a cut-off, such as <-2SD or < -3 SD
Mean Z-score values (in SD units)
Z score refers to how far and in what direction the measure deviates from the median of the NCHS/WHO international reference standard
Exercise: Interpreting Standard DHS Nutrition Status Tables
If 50% of children are stunted (e.g. height-for-age Z-scores less than -2) what does this indicate?
What if, in the same population, 30% are underweight and 15% are wasted?
Which child is more vulnerable to die: a -3sd wasted or a -3sd stunted child? Why? In which age group?
By which characteristics would you recommend disaggregating these data?
Feeding Practices
Percentage of infants less than 24 months of age who were put to the breast within one hour of delivery
Percentage of infants aged 0-5 months who were fed exclusively with breast milk in the last 24 hours
Percentage of infants aged 6-8 months who received solid or semi-solid food the previous day
Feeding Practices
Percentage of infants and young children 6 to 23 months of age who receive a minimum acceptable diet:
6 to 8 months of age : Breastmilk + other food at least 2 times per day + 4 or more food groups
9 to 23 months of age : Breastmilk + other food at least 3 times per day + 4 or more food groups
For non-breastfed infants 6 to 23 months of age : 2 milk feedings + diversity and frequency of meals as above by age group
Coverage Indicators for Micronutrient Programs
Percent of children aged 6-59 months who received a high dose vitamin A supplement in the last 6 months
Percent of households consuming adequately iodized (i.e. 15+ ppm of iodine) salt
Percent of pregnant women who received the recommended number of iron/folate supplements during pregnancy
Choices in Program M&E Design
Which age groups to measure?
Anthropometry, infant and young child feeding
How to obtain valid measurements
Anthropometry; micronutrients; infant and young child feeding
Timing
Trends; seasonality
Evaluation design
Examples of Flaws in Nutrition Evaluations
No comparison groups
No pretest or baseline
No control for age, e.g. < 6 mo.,< 2 and 3+ yrs
Not accounting for confounding factors
Seasons not comparable
Not controlling for mortality reduction
Non-representative samples, small samples
Pilot projects, not replicable
Economic Analysis in Nutrition M&E Cost-effectiveness analysis
compares two or more alternatives for achieving coverage or scale or behavior change, or a process outcome such as training to build capacity
Answers the question ‘Which is the more efficient option?’
Used more in evaluations
Cost-benefit
compares the resources required to achieve impact and the monetary value of that impact
Answers the question ‘Is the investment worthwhile?’
Based on many assumptions with limited empirical evidence
Additional Considerations
Gender:
Intra-household dynamics
Micronutrient requirements/deficiencies differ by sex
Geography:
Ecological zones
Proximity to markets
ENA Indicators
4635 41 42 47 52
65 59 58 53 4854
0
10
20
30
40
50
60
70
80
90
100
EBF in children<5 months
Weight/age -2SD in children
0-35 months
Vit A supp. forchildren 6-59months (one
dose)
Pregnantwomen whoreceived iron
tablets
Amount of foodis maintainedor increased
during dirrahea
Iodized saltconsuption(>15ppm)
Unmetneed
Currentcoverage
Example: Use of Data to Assess Program Gaps
M&E Challenges
Challenges of M&E
Multisectoral programs (attributing outcome?)
Clinical Indicators
May need large samples (e.g., xerophthalmia, feeding practices for 6-8 month old infants)
May be sensitive to enumerator training (e.g., goiter)
Measurement of iron deficiency (lack of specificity)
Selection bias (institution-based sample)
Challenges: Comparisons & Trends
Sample design
Sample size
Cutoff points & standards
Seasonality
References Arimond, Mary and Marie T. Ruel. 2003. Generating Indicators of
Appropriate Feeding of Children 6 through 23 Months from the KPC 2000+. Washington, D.C.: Food and Nutrition Technical Assistance Project, Academy for Educational Development.
Black RE. 2008. Maternal and child undernutrition: global and regional exposures and health consequences. Lancet, 371: 243-60.
Bhutta ZA et al. 2008. What works? Interventions for maternal and child undernutrition and survival. Lancet, 371: 417-40.
Cogill, Bruce. 2003. Anthropometric Indicators Measurement Guide. Washington, D.C.: Food and Nutrition Technical Assistance Project, Academy for Educational Development.
Wasantwisut, Emorn. 2002. Recommendations for monitoring and evaluating vitamin A programs: outcome indicators. Journal of Nutrition, 132: 2940S-2942S.
Ruel, M.T., K.H. Brown, and L.E. Caulfield. 2003. Moving Forward with Complementary Feeding: Indicators and Research Priorities. Food Consumption and Nutrition Division Discussion Paper #146. Washington, D.C.: International Food Policy Research Institute.
References Victora CG et al. 2008. Maternal anc child undernutrition: consequences for
adult health and human capital. Lancet, 371: 340-57. WHO. 2001a. Assessment of Iodine Deficiency Disorders and Monitoring
their Elimination: A Guide for Programme Managers. Second Edition. WHO/NHD/01.1. Geneva: World Health Organization.
WHO Multicentre Growth Reference Study Group. WHO Child Growth Standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. Geneva: World Health Organization, 2006
WHO. 2001b. Iron Deficiency Anaemia: Assessment, Prevention and Control - A Guide for Programme Managers. WHO/NHD/01.3. Geneva: World Health Organization.
WHO. Indicators for assessing infant and young child feeding practices part 1: definitions. Geneva, World Health Organization, 2008.
Madagascar Nutrition Case Study
During 1996–2002, Madagascar followed a comprehensive model, the “essential nutrition actions” (ENA) framework, which coordinated efforts from the community level through national policy making, and included both government and non-government entities. The model was first implemented in two districts in the Antananarivo and Fianarantsoa provinces. It focused on a set of proven interventions covering micronutrients and dietary practices for mother and young children. From 1995 to 1998, the overall focus was placed on designing mechanisms that linked nutrition interventions more directly with other child health and RH services, and national- and community-level actions. Further instructions are provided in the handout.
MEASURE Evaluation is funded by the U.S. Agency for
International Development (USAID) and implemented by the
Carolina Population Center at the University of North Carolina at
Chapel Hill in partnership with Futures Group, ICF Macro, John
Snow, Inc., Management Sciences for Health, and Tulane
University. Views expressed in this presentation do not necessarily
reflect the views of USAID or the U.S. government. MEASURE
Evaluation is the USAID Global Health Bureau's primary vehicle for
supporting improvements in monitoring and evaluation in
population, health and nutrition worldwide.