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Comprehensively Analyzing the <strong>Situation</strong> <strong>of</strong> Orphans and Vulnerable Children<br />

Most secondary data sets that might be consulted for a<br />

situation analysis are based on household surveys.This is<br />

a useful and valid methodology to assess the scope <strong>of</strong><br />

certain problems at the population level. However, reliable<br />

estimates and characteristics <strong>of</strong> orphans and vulnerable<br />

children depend on the ability to capture a<br />

representative sample <strong>of</strong> this group among children in<br />

different contexts. For example, estimates <strong>of</strong> orphan<br />

prevalence would be understated using household surveys<br />

alone and orphan characteristics would be biased<br />

to the degree that those living in households are fundamentally<br />

different from those living in institutions or on<br />

the street.Therefore, it is important to augment data<br />

from household surveys (e.g., DHS and MICS) to include<br />

children outside <strong>of</strong> family care.A proposed comprehensive<br />

methodology for doing this is presented in Guide to<br />

Monitoring and Evaluation <strong>of</strong> the National Response for<br />

Children Orphaned and Made Vulnerable by <strong>HIV</strong>/AIDS<br />

(UNICEF, forthcoming).This resource suggests the following.<br />

Children living outside <strong>of</strong> family care.A census <strong>of</strong> institutions<br />

and orphanages that care for children can be conducted.<br />

Once the institutions have been identified, the<br />

orphans and other vulnerable children living in them can<br />

be enumerated. In countries where there are large numbers<br />

<strong>of</strong> children living in institutions and/or where there<br />

are many institutions, it is necessary to take a sample <strong>of</strong><br />

institutions.<br />

Homeless children.The methodology for sampling and<br />

surveying homeless orphans is complicated, as it is difficult<br />

to locate and conduct interviews with homeless orphans.<br />

The method to locate them involves developing an adequate<br />

sampling frame. Street children are a mobile “floating”<br />

population group, and they must be sampled using<br />

the concept <strong>of</strong> time-location sites, a method <strong>of</strong> sampling<br />

mobile children and youth that is unbiased and adheres to<br />

the tenets <strong>of</strong> probability sampling. On the basis that<br />

everyone sleeps somewhere, it is recommended that the<br />

sampling <strong>of</strong> street children be confined to places where<br />

youth and children are known to sleep, such as railway<br />

stations, other transportation terminals, and under<br />

bridges.A sampling frame can be developed by working<br />

with government <strong>of</strong>ficials, NGOs, religious leaders, and<br />

others who work with street children.The first step is to<br />

select the time-location sites; the second step is to post<br />

interviewers at the sites for the time interval designated<br />

and interview all the youth that are present or arrive at<br />

the sites during that period.<br />

• Education costs (tuition, supplies, boarding)<br />

• Dropout rates<br />

• Completion rates<br />

• Grade repetition rates<br />

• Number <strong>of</strong> schools attended<br />

• Number and percent <strong>of</strong> trained teachers<br />

Operational Definitions<br />

For each secondary data set, the definitions used to<br />

identify the respondents and the definitions for the variables<br />

investigated (e.g., household, children, orphans,<br />

head <strong>of</strong> household, income) must be included. It is likely<br />

that the definitions from different data sets will vary,<br />

which will make it challenging to compile the information<br />

from the different sources on the variable <strong>of</strong> interest<br />

into one composite report. If possible, the various data<br />

sets that have commonalities should be isolated.<br />

Depending on how data were coded it may be possible<br />

to extract data within the defined parameters (e.g., looking<br />

at data only from households that include children<br />

under age 5). The following definitions were used to<br />

extract and report data from DHS and MICS (children<br />

whose parents’ survival status was missing or unknown<br />

were eliminated from the analysis):<br />

• Maternal orphan: Child under age 15 whose natural<br />

mother has died.<br />

• Paternal orphan: Child under age 15 whose natural<br />

father has died.<br />

• Double orphan: Child under age 15 whose mother<br />

and father have both died.<br />

• Total orphans: Total number <strong>of</strong> children under<br />

age 15, whose natural mothers, fathers, or both,<br />

have died.<br />

• Household: Person or group <strong>of</strong> persons who live<br />

within the same dwelling and share a common<br />

source <strong>of</strong> food.<br />

• Dependency ratio (DR): Proportion <strong>of</strong> dependents<br />

(number <strong>of</strong> children ages 0 to 14 years + number <strong>of</strong><br />

elderly persons ages 60 years and over) to the work-<br />

<strong>Conducting</strong> a <strong>Situation</strong> <strong>Analysis</strong> <strong>of</strong><br />

Orphans and Vulnerable Children Affected by <strong>HIV</strong>/AIDS<br />

33

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