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31 Cards in this Set

  • Front
  • Back

COMMUNITY NUTRITIONAL ASSESSMENT

practical method of obtaining an overview of the nutritional status of a given community

NUTRITIONAL ASSESSMENT

process of collecting, processing, analyzing and interpreting information obtained from dietary, biochemical, clinical, anthropometric, community and/or related studies.

1. quantify magnitude / nature of nutritional problem & select priority areas & groups
2. formulate objectives of nutrition action plan
3. select & design projects &/or activities to address identified nutritional problem
4. set the basis for monitoring & evaluation
5. provide information to motivate politicians, communities & the public





USES OF CNA

1. organize a multi-disciplinary assessment team


2. define objectives of situational analysis


3. formulate causal model of malnutrition / problem tree


4. identify data to be gathered & plan how these data will be analyzed


5. gather data


6. process, analyze & interpret data


7. validate causal model


8. present & use results

STEPS IN CONDUCTING CNA

1. What are the nutritional problems in the area?


2. What is the trend in the nutrition situation over the years?


3. Who are affected?


4. Where are they located?


5. How many are affected?


6. What factors cause or give rise to the nutrition situation?


7. What resources are available to address these problems?


8. What programs & projects have been implemented in the past years?

GUIDE QUESTIONS IN THE ASSESSMENT OF NUTRITION SITUATION

PROBLEM TREE

tool for situational analysis that represents the factors causing malnutrition

PROBLEM TREE

a. tool traces the chain of factors that can affect nutrition situation


b. provides a clearer picture of possibilities for nutrition & related interventions


c. formulating the problem tree requires brainstorming among the BNC members

1. Geographical or other boundaries


2. Population w/n boundaries


3. Socio-economic status of population


4. Housing characteristics


5. Food marketing facilities


6. Health status indicators


7. Health resources


8. Community health care programs


9. Food and nutrition assistance program


10. Education programs


11. Nutrition education programs


12. Nutrition training programs


13. Other pertinent data

WHAT DATA TO COLLECT?

GEOGRAPHY & ENVIRONMENT

boundary, climate, typhoon occurrence, soil type, agricultural production, transportation, public institutions, sports facilities

DEMOGRAPHIC

population size, distribution, composition, structure, growth, average HH size

SOCIO-ECONOMIC

major source of livelihood, income, occupation, land ownership, food & other expenditures, food and cash crop production, clothes, vehicles

HOUSING

type and construction, number of rooms, crowding, kitchen facilities, food storage, appliances & furniture, sanitation

SOCIO-LIVING SCALE

home type, house & lot ownership, number of household appliances, cooking facilities, food storage facilities, source of water, lighting fixture, toilet facilities

FOOD SUPPLY

1. available foods


2. patterns of consumption / purchase


3. local market assessment


4. food costs


5. utilization of crops


6. farming methods


7. livestock & fishing

EDUCATION

public & private schools, children at school, literacy, presence of books & newspapers

HEALTH STATISTICS RESOURCES:
Morbidity and Mortality

birth & crude birth rates, number of home deliveries, illegitimate births, low birth weights, birth to mothers under 18, all causes of death. m&m due to chd/hpt/dbt/alc

LOCAL HEALTH RESOURCES (1)

nutrition resources (NDs, MNAO, BNS, trainings, coordinating councils, MNC), hospitals, bed capacities, available physicians/dentists/nurses/midwives)

LOCAL HEALTH RESOURCES (2)

maternity clinics, neighborhood pharmacies, faith & spiritual healers, dental care

COMMUNITY HEALTH CARE PROGRAMS

pre-natal & post-natal, Mag-HL Tayo, Garantisadong Pambata, child feeding, Universal Salt Iodization Campaign

SCHOOL NUTRITION PROGRAMS

school cafeteria, nutrition curriculum, school health programs, school lunch programs

SOCIAL WELFARE PROGRAMS

no. of population receiving public assistance, eligibility standards, senior citizen program, children's services

CULTURAL FACTORS

differences in lifestyle, food preferences / eating habits, dietary patterns, evaluation of marketplace and shopping patterns, cultural traditions, goals

COMMUNITY POLITICAL ORGANIZATION

community power structure, concern for nutri problems, educational programs for govt and community, locally available resources

a. observant


b. conversant


c. very good listener


d. good recorder


e. analyst

BASIC QUALITIES OF THOSE WHO SHALL GATHER DATA / INFO FOR CNA

DATA COLLECTION: PRIMARY DATA

type of data that includes


a. sample surveys


b. Focus Group Discussions (FGD)


c. Key Informant Surveys (KI)


d. Participatory Rural Appraisal (PRA)

SURVEYS

- needs sampling methodologies to generate representative samples


- expensive


- considers many respondents


- more accurate, less biases


- can be subjected to rigorous statistical analysis


- limited depth of data


- structures interviews

FOCUS GROUP DISCUSSION (FGD)

- limited respondents


- focused topic


- more depth in data


- less expensive


- less accurate data


- qualitative data analysis


- structured questions but more flexible than sample survey

KEY INFORMANT INTERVIEW (KI)

- few case respondents, only key persons


- less expensive than FGD


- very in-depth data


- person to person interview


- guide questions instead of structured questionnaire


- qualitative data


- flexible


- longer administration


- need for skilled interviewers


- high element of bias


- amenable to qualitative data analysis

PARTICIPATORY RURAL APPRAISAL (PRA)

- usually used when selecting a study site


- view primary data collection from the community perspective


- generate community data on biophysical and socio-economic characteristics


- uses the transect methods in describing the area


- multidisciplinary team needed


- can also use any of the above methods for data collection


- very qualitative and descriptive analysis

DATA ANALYSIS

- classifying, coding, tabulating info needed


- quantitative or qualitative


- gives meaning to data collected by applying statistical tools

1. Prevalence, rates, averages, proportions


2. Trends


3. Comparison with known standards


4. Rank and set cut-offs


5. Mapping


6. Cross-tabulations


7. Use of statistical treatments

Components of Data Analysis