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Explore the significance of Mortality Rates (MR) and Anthropometry in public health research methodologies, including when, how, and who should conduct these assessments to inform resource allocation and intervention urgency. Learn about the importance of calibration, triangulation, and co-ordination in data collection.
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Research • Do NOT change current methods unless new methods have been tested. • MR method - prior birth history • CMR v <5MR • other data: 30-35yr children, Mother:child ratio, demographic profile etc. • Anthro - calculation from mean/ GIS • other data: MUAC vs anthro (mort risk)
CMR - why? • Most basic public health indicator - should have some idea of CMR in all populations • Need to assess overall severity of population stress • to inform resource allocation • documentation/ advocacy • calibration of surveillance data/ triangulation • urgency of intervention
CMR - When? • Best obtained with surveillance methods • use survey if no reliable data from other sources • Co-ordination of timing with other agencies • At same time as anthro survey • seasonality/ peak
CMR - How? • By surveillance methods where possible (with calibration) • No evidence based basis for choice of a particular method at the moment • Current household method most often used - other methods should be chosen where they are thought to have advantages • need to assess prior birth history method as it appears to be the most promising method • 3 month recall where possible.
CMR - Who? • Scale - each agency has different purpose for survey. National to micro scale. • To large a scale averages out pockets: to small a scale misses pockets and is not generalisable- difficult to use data to inform where there is a problem. • Commend areas based upon characteristic likely to be important determinant - Agroeconomic zones, tribal/ethnic areas, etc. and not necessarily administrative districts • CANNOT in general be used to decide where to set up a program - this comes from other information
Anthro - why? • Need to assess overall severity of nutritional stress in population. • to inform resource allocation • documentation/ advocacy • urgency of intervention
Anthro - When? • Need to design feeding programs • when surveillance /program data shows that there is a problem • when program “coverage” likely to have changed. • Seasonality/ peak and trough • Co-ordination of timing with other agencies
Anthro - How? • Systematic random sample where feasible otherwise cluster sampling • 30x30 clusters unless data to inform assumptions and expertise available • use systematic random or random for cluster choice if feasible and convenient. Otherwise start - chose person from crowd and go to his/her house to start; then EPI-n with bottle spin after each house. • Take ALL children in house • use houses with no children for CMR/demographic other data collection.
Anthro - Who? • As with Mortality rates - each agency has different purpose for survey. National to micro scale. • To large a scale averages out pockets: to small a scale misses pockets and is not generalisable- difficult to use data to inform where there is a problem. • Commend areas based upon characteristic likely to be important determinant - Agroeconomic zones, tribal/ethnic areas, etc. and not necessarily administrative districts • CANNOT in general be used to decide where to set up a program - this comes from other information
Anthro - Who? 2 • From program data - e.g. map admissions to TFC - new arrivals - anecdotal information. • Assess with anthro survey (area often security delimited) • secure areas likely to be best