For the past 20 years the community health department of St Stephen's
Hospital has been providing comprehensive health care in three
socioeconomically deprived areas of Delhi—Sunder Nagari, Tahirpur, and
Amar Colony—with a combined population of about 64 000 people. These
areas on the outskirts of the city are relocation settlements started 20 years
ago. Most of the residents came to Delhi 25 years ago as migrant workers and
were living in inner city slums before being relocated here by the
government.
9 The
average per capita income of a household in these areas is about 600 rupees
per month (£8, $13, €11). shows the data on crude birth rate in the area for the study
period, with the average rate being 22.3 live births per 1000 population. The
population is 66% Hindu and 34% Muslims, and the birth rates in the two
communities are also shown in .
| Table 1Crude birth rate in study area by year and community (2001 only) |
The department has a multidisciplinary staff of about 40, consisting of
doctors, public health nurse, auxiliary nurse midwives, and other health
personnel. As the midwives have been working in the community for the past
7-10 years, their acceptability and rapport with the families is high. They
provide health education and collect information on births, deaths, pregnancy,
immunisation, and family planning. They record this information in family
based folders and then in the registers of their respective areas. Finally the
data are entered into the computerised management information system of the
department that was established six years ago. Here we are analysing data for
the five year period from January 1997 to December 2001.
Verbal autopsies are used for finding out the cause of each death. Every
month the midwives discuss any cases with a visiting paediatrician from the
hospital, and the probable cause of death is noted in the records. In cases
where information seemed inadequate, the midwife or a doctor from the centre
revisited the house to get more details. The record of deaths maintained by
the midwives forms the basis of this study.
We examined the number of live born infants and infant deaths each year and
grouped deaths by sex and analysed the causes of death. All cases of death of
children reported as sudden and without any preceding illness were categorised
as “unexplained deaths.” We categorised cases in which the cause
of death could not be ascertained—for example, when the family had moved
out of the area—as “data not available.”
We examined overall infant mortality (all deaths in children aged under 1
year per 1000 live births) for each of the five years under study and compared
overall mortality and cause specific mortality by sex. Analysis was done with
EPI-6 statistical software. Yates corrected χ2 test was used
for comparing the cause specific infant mortality among the two sexes. P <
0.05 was considered to be significant. We calculated odds ratios with
corresponding confidence intervals for deaths from different causes by
sex.