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Multi Indicator Cluster Survey (MICS) 2005. November 30, 2007. What Is MICS ? Multiple Indicator Cluster Survey. Household survey developed by UNICEF in 1990’s. It assists countries in filling data gaps for monitoring human development, especially the situation of women and children. .

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Multi Indicator Cluster Survey (MICS) 2005

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Multi indicator cluster survey mics 2005 l.jpg

Multi Indicator Cluster Survey (MICS) 2005

November 30, 2007

What is mics multiple indicator cluster survey l.jpg

What Is MICS ?Multiple Indicator Cluster Survey

  • Household survey developed by UNICEF in 1990’s.

  • It assists countries in filling data gaps for monitoring human development, especially the situation of women and children.

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What is MICS Cont’d

  • Many countries were involved in each round,

    using common questionnaire modules.

  • Facilitates the production of comparable estimates of indicators.

  • It uses international definitions of indicators.

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What is MICS Cont’d

Jamaica is among :

  • the 191 signatories to the Millennium Development Goals (MDG).

  • the 189 member states who adopted the Plan of Action of A World Fit For Children.

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What is MICS Cont’d

  • Round 1 - 1995 No Jamaica

  • Round 2 - 2000 Jamaica but no official report

  • Round 3 - 2005 Jamaica and here we are!

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  • To provide up-to-date information for assessing the situation of children and women in Jamaica;

  • To furnish data for monitoring progress toward goals established by the MDG, A World Fit For Children (WFFC), and other internationally agreed upon goals;

  • To contribute to the improvement of data and monitoring systems in Jamaica

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Survey Management

  • A Steering Committee was formed with representatives from:


    UNDP PAHO PIOJ ECC Cabinet Office


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Survey Management cont’d

  • Survey coordination and implementation was done by STATIN through the Special Projects and Field Services Divisions.

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  • The survey instrument consisted of three questionnaires:

  • Household

  • Woman (15-49 yrs)

  • Child (0-4 yrs) .

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Household Questionnaire

  • Modules included:

    • Household Information Panel

    • Household Listing

    • Education

    • Child Labour

    • Orphaned and Vulnerable Children

    • Water and Sanitation

    • Child Discipline

    • Child Disability

    • Salt Iodization

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Women’s Questionnaire

  • Modules Included:

    • Basic Characteristics

    • Child Mortality

    • Tetanus Toxoid immunisation

    • Maternal and Newborn Health

    • Marriage/Common-law unions

    • Attitudes Toward Domestic Violence

    • HIV/AIDS

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Child Questionnaire

  • Modules included:

    • Information Panel

    • Birth Registration and Early Learning

    • Child Development

    • Breastfeeding

    • Occurrence and treatment of Illness

    • Immunization

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Sample Selection

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Training of Field Staff

  • Training included:

  • interviewing techniques

  • the questionnaires

  • mock interviews between trainees

  • interviewing practice. These practice interviews were conducted in areas close to the training centres.

  • Trainees were tested, and based on the test results, observation and participation in the training sessions,

  • 83 persons were offered employment on the project.

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Field Work

  • Field work began October 10, 2005

  • 13 Supervisors

  • 70 Interviewers and Field Editors

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Problems during field work

  • Adverse weather

  • Violence in some sections of Kingston, St. Andrew and St. Catherine. Interviewers were forced to leave some EDs.

  • Vacant dwellings

  • Upper income communities that have gated communities and to which access was not granted by security personnel.

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Data Processing

  • Data was manually edited and keyed into the computer using the CSPro software

    • 7 Data Entry Operators

    • 2 Data Entry Supervisors

  • Computer edits were done

  • Process lasted from November 2005 – March 2006

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    Data analysis

    • Done in SPSS ver. 14.0 by STATIN

    • Using syntaxes prepared by UNICEF

    • Rigorous process

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    Response Rate

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    Child mortality

    • The infant mortality rate is the probability of dying before the first birthday.

    • The under-five mortality rate is the probability of dying before the fifth birthday.

    • Based on an indirect estimation technique known as the Brass method

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    Child mortality

    • Infant mortality – 26 per 1000

    • Under 5 mortality – 31 per 1000

    • Mortality higher among children of women with low levels of education

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    Breastfeeding cont’d

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    Birth Weight

    • Majority of birth occur in hospitals

    • 97% of babies were weighed at birth

    • Approx 12% weighed less than 2500 gms

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    • Overall, more than 70 % of children had immunization cards.

    • If the child did not have a card, the mother was asked to recall whether or not the child had received BCG, Polio, DPT or measles vaccination .

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    During the two weeks preceding the survey

    • 2.4% had diarrhoea

    • 6.5% had symptoms of pneumonia

      • 75% were taken to an appropriate provider

      • Amoxil was the antibiotic of choice

    • 23% of women knew of the two danger signs of pneumonia

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    Water and Sanitation


    • Use of improved drinking water sources

    • Use of adequate water treatment method

    • Time to source of drinking water

    • Person collecting drinking water


    • Use of improved sanitation facilities

    • Sanitary disposal of child’s faeces

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    Water and Sanitation

    • Use of improved drinking water sources - 93.5%

      • 97 % in urban areas

      • 88 % in rural areas

  • 53% used water treatment method


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    Water and Sanitation cont’d

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    Water and Sanitation cont’d

    • 97% live in households using improved sanitation facilities

    • Flush toilets most common in urban areas

    • Pit latrines most common in rural areas

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    Water and Sanitation cont’d

    • 36% of children diapers were properly disposed.

    • 56% thrown directly into garbage.

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    Reproductive Health

    • 91% of women received antenatal care from skilled personnel at least once during pregnancy

      • The doctor was the main provider (57.8%)

      • Then Nurse / midwife (32.7%)

    • Over 95% of women had blood and urine samples taken during pregnancy

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    Reproductive Health cont’d

    • 97% of births were delivered by skill personnel

      • 56% assisted by nurse / midwife

      • 41% assisted by doctors

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    Child Development

    • 86% of children under 5 had an adult household member who engaged in activities that promote learning and school readiness

    • Fathers involvement was only 41%

    • 51% of children were living without their fathers

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    Child Development cont’d

    • 3% of children age 0 – 59 months were left in care of other children under 10 yrs

    • 1% of children were left alone

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    • Pre-school Attendance

      86% of children attended pre-school

    • 89% urban

    • 81% from rural areas

      94% of children 48 - 59 months attended pre-school.

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    Education cont’d

    • 97.4% attended primary school

    • Attendance increased with age from 89.7% among children 6 years to 99.3% among 11 year old

    • Transition to secondary school almost universal

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    Education cont’d

    • At the secondary level

    • Attendance was lower among boys (89 %) than among girls (93 %).

    • Higher levels of attendance among children whose mothers have a higher level of education.

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    Education - Distance from school

    Primary 97% lived less than 5 miles

    68% lived within a mile

    Secondary 86% lived less than 5 miles

    42% lived within a mile

    • 11 % of rural lived within one mile

    • 4 % in KMA lived within one mile

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    Child Protection

    • Birth Registration

      89% of children under 5 were registered

      Of those not registered

      57% owed hospital fees

      32% said too costly to register

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    Child Labour - Definition

    • Ages 5-11: at least one hour of economic work or 28 hours of domestic work per week.

    • Ages 12-14: at least 14 hours of economic work or 28 hours of domestic work per week.

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    Child Labour

    • Children 5 -11 yrs - 7.9%

    • Children 12-14 yrs - 2.3%

    • More males -7 % than females - 5 %

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    Child Discipline

    • Psychological aggression -If child was shouted, yelled or screamed at and/or called dumb, lazy or other such name

    • Minor physical punishment – If child was shaken, spanked, hit or slapped on bottom with bare hand and/or hit anywhere on the body with a hard instrument and/or hit/slapped on arm, leg or hand

    • Severe physical punishment - If child is hit/slapped on the face, head or ears and/or beat with an instrument over and over as hard as one could.

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    Child Discipline

    • 87% of children 2 – 14 were subjected to at least one form of psychological or physical punishment

    • 8% were subjected to severe physical punishment

    • Women with higher educational levels used non-violent discipline and less to psychological and minor physical punishment than women with lower levels education.

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    Child Discipline (cont.d)

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    Domestic Violence

    • 6.1% of women felt that a husband or male partner was justified in beating his wife for at least one reason

    • The most popular reason was if the woman neglected her children

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    Child Disability - 2-9 years

    • Most Common Disabilities Reported.

    • Not understanding instructions - 4.9%

    • Dull or slow - 4.7%

    • Not Speaking - 3.9%

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    HIV/AIDS, and orphaned and vulnerable children

    • 69% of women knew three main ways of preventing HIV

    • 83% knew about one faithful partner

    • 89% knew about using a condom

    • 87% knew about abstaining

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    HIV cont’d

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    HIV cont’d

    • During Antenatal Care

      83% received information about HIV prevention

      90% have tested for HIV

      84% have received result

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    • Health status of women and children good

    • Need to improve vital registration especially for infant and young child deaths

    • Young children need to be protected from child labour whether inside or outside the home

    • Need to decrease the levels of social inequality as measured by the educational levels of women as these influence attitudes and behaviours e.g. child discipline, domestic violence

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