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Multiple Indicator Cluster Surveys Survey Design Workshop

Multiple Indicator Cluster Surveys Survey Design Workshop. Questionnaire for Individual Women: Child Mortality. Purpose. To measure infant and under-5 mortality rates To estimate the adolescent birth rate and early childbearing

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Multiple Indicator Cluster Surveys Survey Design Workshop

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  1. Multiple Indicator Cluster SurveysSurvey Design Workshop Questionnaire for Individual Women: Child Mortality MICS4 Survey Design Workshop

  2. Purpose • To measure infant and under-5 mortality rates • To estimate the adolescent birth rate and early childbearing • To determine if any live births within the last 2 years – whether the woman is eligible for the maternal and newborn health module MICS4 Survey Design Workshop

  3. Information Collected in the Module • Summary information on all live births, living and deceased children • Timing of first live birth • Timing of last live birth MICS4 Survey Design Workshop

  4. Goal 4 - MDG • Reduce by two-thirds, between 1990 and 2015, under-five mortality rate • MDG Indicator 4.1 – Under-5 Mortality Rate • MICS Indicator # 1.1 • MDG Indicator 4.2 – Infant Mortality Rate • MICS Indicator # 1.2 MICS4 Survey Design Workshop

  5. Estimation • Indirect estimation method used • Devised by William Brass in the late 1950s, commonly used in surveys and censuses around the world • Indirect estimation method, but gives reliable results usually consistent with direct estimation (direct estimation in surveys: use of birth or maternity histories) MICS4 Survey Design Workshop

  6. Estimation • Variants: By age of women, by time since first marriage, by time since first birth • The idea is to calculate average numbers of children ever born and children deceased, and calculate proportion deceased • Using proportion deceased and mortality models, estimate infant and under-5 mortality rates MICS4 Survey Design Workshop

  7. Estimation • Method will give biased estimates if fertility pattern changes dramatically over time • Results not as detailed as those from birth histories (neonatal rates etc) • Assumptions applicable to the country need to be used for correct estimation (e.g. choice of mortality model) MICS4 Survey Design Workshop

  8. Estimation • Estimated rates will refer to 3-6 years before the survey on the average, depending on the variant of the method used • The method provides estimates of mortality trends as retrospective estimates are obtained for a period of 3-15 years MICS4 Survey Design Workshop

  9. Pakistan Under-5 mortality rates – various sources MICS4 Survey Design Workshop

  10. Myanmar Under-5 Mortality Rates – Various sources Direct estimate from household survey 1991 Indirect estimate from 1983 census MICS4 Survey Design Workshop

  11. Input Data MICS4 Survey Design Workshop

  12. Estimates MICS4 Survey Design Workshop

  13. Resource person • An expert on mortality estimation/demographic estimation needed • MICS programme to produce methodological note on the estimation technique MICS4 Survey Design Workshop

  14. Reproductive health indicators • Adolescent birth rate (MDG Indicator 5.4) • Age-specific birth rate for women age 15-19 years • MICS Indicator # 5.1 • Early Childbearing • Proportion among women age 20-24 who had one or more live births before age 18 • MICS Indicator # 5.2 MICS4 Survey Design Workshop

  15. Adolescent birth rate • Normally, the indicator would be calculated by collecting information on all births during a given period preceding the survey, including dates of birth of each • MICS only collects information on the date of birth of the first and last live birth • However, the rate can be estimated MICS4 Survey Design Workshop

  16. Methodological issues • Sample size – low fertility rates among women age 15-19 • Estimation needs to be based on two pieces of missing information • Twin or multiple births during the 1 or 2 years prior to survey • Women who have had more than one delivery during the 1 or 2 years prior to survey MICS4 Survey Design Workshop

  17. Methodological issues • Both are relatively small in magnitude, and the rate can be estimated by applying a coefficient to the estimated “initial” rate from MICS data, based on overall level of fertility • Modeling work in progress • Including work on other approaches to estimation MICS4 Survey Design Workshop

  18. Methodological note • Early childbearing • Denominator is set to women 20-24 to avoid truncation • Consistent with the definition of “child” – i.e. younger than age 18 • Possible to look at trends by calculating the indicator for older age groups MICS4 Survey Design Workshop

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