5 research outputs found

    Determinants of the Recent Rise in Childhood Mortality in Sub-Saharan Africa: Evidence from Kenya Demographic and Health Surveys, 1990 – 2003

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    Childhood mortality rates in Kenya increased in the 1990s and early 2000s. Evidence from Kenya Demographic Health Survey (KDHS) data shows increase in under-5 mortality rate by 26 percent from 91 in 1993 to 115 in 2003. This study examined factors associated with the rise in childhood mortality in Kenya. Micro-level data were obtained from KDHS. Macro-level data were gathered from government administrative records and comprised indicators of access and utilization of health services. Proportional hazards model was used to deconstruct factors associated with rise in childhood mortality. The results showed that that macro factors, particularly high HIV/AIDS prevalence and the general deterioration in the quality of childcare, were largely responsible for the rise in childhood mortality in the 1990s and early 2000s. Other factors believed to be also strongly associated with early childhood deaths during this period include malaria prevalence and subnational differences in culture and child care practices.

    Fertility Levels, Trends and Differentials in Kenya: How Does the Own-children Method Add to Our Knowledge of the Transition?

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    The own-children method of fertility estimation tracks temporal changes in fertility patterns. We revisit the Kenyan fertility transition by applying the method to 1979, 1989 and 1999 censuses, and 1989, 1993, 1998 and 2003 Demographic and Health Surveys data. The method's ability to provide yearly fertility rates for periods preceding each data source adds enormous knowledge to fertility patterns. For Kenya, these trends go back through the 1960s. First, the method sheds additional light on the onset of the transition. Second, the trends highlight major differences in the onset and pace of fertility decline among regions and key sub-groups. Third, the rates for overlapping periods provide both internal and external validity checks that heighten confidence in the overall results. Last, it provides a rare opportunity to evaluate birth history fertility rates. Taken together, these estimates provide more detail than ever before regarding fertility patterns in Kenya

    Fertility Levels, Trends and Differentials in Kenya: How does the Own-Children Method Add to our Knowledge of the Transition?

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    The own-children method of fertility estimation tracks temporal changes in fertility patterns. We revisit the Kenyan fertility transition by applying the method to 1979, 1989 and 1999 censuses, and 1989, 1993, 1998 and 2003 Demographic and Health Surveys data. The method's ability to provide yearly fertility rates for periods preceding each data source adds enormous knowledge to fertility patterns. For Kenya, these trends go back through the 1960s. First, the method sheds additional light on the onset of the transition. Second, the trends highlight major differences in the onset and pace of fertility decline among regions and key sub-groups. Third, the rates for overlapping periods provide both internal and external validity checks that heighten confidence in the overall results. Last, it provides a rare opportunity to evaluate birth history fertility rates. Taken together, these estimates provide more detail than ever before regarding fertility patterns in Kenya

    Fertility in Kenya and Uganda: a comparative study of trends and determinants.

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    Between 1980 and 2000 total fertility in Kenya fell by about 40 per cent, from some eight births per woman to around five. During the same period, fertility in Uganda declined by less than 10 per cent. An analysis of the proximate determinants shows that the difference was due primarily to greater contraceptive use in Kenya, though in Uganda there was also a reduction in pathological sterility. The Demographic and Health Surveys show that women in Kenya wanted fewer children than those in Uganda, but that in Uganda there was also a greater unmet need for contraception. We suggest that these differences may be attributed, in part at least, first, to the divergent paths of economic development followed by the two countries after Independence; and, second, to the Kenya Government's active promotion of family planning through the health services, which the Uganda Government did not promote until 1995
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