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Socio-Economic Impact of HIV and AIDS in Tamil nadu

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Chapter 2<br />

Data <strong>and</strong> Methodology<br />

As mentioned <strong>in</strong> Chapter one the ma<strong>in</strong><br />

objective <strong>of</strong> this study is to assess the<br />

impact <strong>of</strong> <strong>HIV</strong> on <strong>in</strong>fected <strong>in</strong>dividuals<br />

<strong>and</strong> their households. The study is based<br />

on the household survey conducted by<br />

NCAER <strong>in</strong> all the six <strong>HIV</strong> high-prevalence<br />

states. In the state <strong>of</strong> <strong>Tamil</strong> Nadu, the<br />

field survey was conducted dur<strong>in</strong>g the<br />

period December 2004 to February<br />

2005. Keep<strong>in</strong>g <strong>in</strong> m<strong>in</strong>d the objectives <strong>of</strong><br />

the study, NCAER conducted a survey<br />

<strong>of</strong> both <strong>HIV</strong> <strong>and</strong> non-<strong>HIV</strong> households.<br />

The purpose <strong>of</strong> survey<strong>in</strong>g both <strong>HIV</strong> <strong>and</strong><br />

non-<strong>HIV</strong> households (control group)<br />

was to compare their socio-economic<br />

characteristics, pattern <strong>of</strong> household<br />

expenditure, prevalence <strong>of</strong> morbidity,<br />

differences <strong>in</strong> enrolment <strong>and</strong> dropout<br />

rates <strong>of</strong> children <strong>and</strong> time use pattern <strong>of</strong><br />

all the household members. In addition,<br />

qualitative techniques like case studies<br />

<strong>and</strong> Focus Group Discussions have also<br />

been made use <strong>of</strong>.<br />

2.1 Sample size<br />

In each <strong>of</strong> the high-prevalence states, the<br />

survey covered roughly 1600 households,<br />

nearly one-fourth <strong>of</strong> which have PLWHA.<br />

S<strong>in</strong>ce for a state-level analysis, it was<br />

thought that a m<strong>in</strong>imum sample <strong>of</strong> 400<br />

households would be required, it was<br />

decided to draw a sample <strong>of</strong> 400 <strong>HIV</strong>positive<br />

households from each <strong>of</strong> the<br />

selected states. This number is large<br />

enough consider<strong>in</strong>g the difficulties<br />

<strong>in</strong>volved <strong>in</strong> identify<strong>in</strong>g People Liv<strong>in</strong>g<br />

with <strong>HIV</strong> <strong>and</strong> <strong>AIDS</strong> (PLWHA) <strong>and</strong> their<br />

households, <strong>and</strong> more importantly,<br />

secur<strong>in</strong>g their consent for <strong>in</strong>terview.<br />

The sample was drawn from both rural<br />

<strong>and</strong> urban areas <strong>of</strong> the states; out <strong>of</strong> 410<br />

sample <strong>HIV</strong> households, there were 223<br />

households belong<strong>in</strong>g to rural areas <strong>of</strong><br />

<strong>Tamil</strong> Nadu, while 187 households were<br />

from urban localities.<br />

2.1.1 Selection <strong>of</strong> districts<br />

Based on the Sent<strong>in</strong>el Surveillance Reports<br />

<strong>of</strong> the respective State <strong>AIDS</strong> Control<br />

Societies, the <strong>HIV</strong> high-prevalence<br />

districts <strong>in</strong> the state <strong>of</strong> <strong>Tamil</strong> Nadu were<br />

identified <strong>and</strong> out <strong>of</strong> these districts, six<br />

districts were selected for conduct<strong>in</strong>g<br />

the survey.<br />

Criteria for selection:<br />

1. In every state, the state capital, which<br />

also happens to be one <strong>of</strong> the highprevalence<br />

districts, was purposively<br />

selected as one <strong>of</strong> the sample sites. In<br />

<strong>Tamil</strong> Nadu, Chennai was purposively<br />

selected <strong>and</strong> although a primarily<br />

urban sample was drawn from the<br />

state capital, the survey covered a<br />

few rural households surround<strong>in</strong>g the<br />

capital city too.<br />

2. While select<strong>in</strong>g the districts it was<br />

kept <strong>in</strong> m<strong>in</strong>d to get as much <strong>of</strong> a<br />

geographic spread as possible <strong>in</strong><br />

Data <strong>and</strong> Methodology<br />

13

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