Quality of child health care and under-five-mortality in Zambia:

Kapungwe, Augustus

doi:10.4054/demres.2005.12.12

Cited by 4 publications

(7 citation statements)

References 6 publications

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“…A number of studies have documented the relationship between distance or travel time and health outcomes. Studies in Zambia ( 12 ) and Burkina Faso ( 5 , 13 ) provided evidence that increasing travel time or distance to a health facility was associated with increased child mortality risk. Similarly, in Uganda it was reported that access to a health facility affects childhood mortality and the effect was more evident in children born to uneducated mothers ( 14 ).…”

mentioning

confidence: 99%

The effect of distance to formal health facility on childhood mortality in rural Tanzania, 2005–2007

Kadobera

Sartorius

Masanja

et al. 2012

Global Health Action

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BackgroundMajor improvements are required in the coverage and quality of essential childhood interventions to achieve Millennium Development Goal Four (MDG 4). Long distance to health facilities is one of the known barriers to access. We investigated the effect of networked and Euclidean distances from home to formal health facilities on childhood mortality in rural Tanzania between 2005 and 2007.MethodsA secondary analysis of data from a cohort of 28,823 children younger than age 5 between 2005 and 2007 from Ifakara Health and Demographic Surveillance System was carried out. Both Euclidean and networked distances from the household to the nearest health facility were calculated using geographical information system methods. Cox proportional hazard regression models were used to investigate the effect of distance from home to the nearest health facility on child mortality.ResultsChildren who lived in homes with networked distance >5 km experienced approximately 17% increased mortality risk (HR=1.17; 95% CI 1.02–1.38) compared to those who lived <5 km networked distance to the nearest health facility. Death of a mother (HR=5.87; 95% CI 4.11–8.40), death of preceding sibling (HR=1.9; 95% CI 1.37–2.65), and twin birth (HR=2.9; 95% CI 2.27–3.74) were the strongest independent predictors of child mortality.ConclusionsPhysical access to health facilities is a determinant of child mortality in rural Tanzania. Innovations to improve access to health facilities coupled with birth spacing and care at birth are needed to reduce child deaths in rural Tanzania.

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confidence: 99%

The effect of distance to formal health facility on childhood mortality in rural Tanzania, 2005–2007

Kadobera

Sartorius

Masanja

et al. 2012

Global Health Action

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“…The explanatory variables used in this study are area, delivery type, education, marital status, mother's age at child's birth, place of delivery, received antenatal care, sex of the child, size of child at birth, state, twins, wealth index and weeks or months pregnant at first ANC unit. The socioeconomic and demographic factors used in this study were suggested by several researchers [5,8,9,11,16].…”

Section: Study Variablesmentioning

confidence: 99%

“…In most African countries, several factors influence under-five mortality, including child spacing, maternal age and education level, traditional and cultural practices, vaccination coverage, and economic factors 3 [5]. A study which was done in Sudan (Abdeldafie, 2018) showed that the factors that most influence under-five mortality are prematurity, pneumonia, measles, and neonatal pneumonia.…”

Section: Introductionmentioning

confidence: 99%

“…For instance, according to research which was conducted by Susuman in 2012 in Tanzania, under-five mortality was found to be affected by low maternal education and young maternal age, which indicates less experience with infant health in comparison with older mothers, shorter birth intervals, and higher parity [7]. A study conducted by Kapungwe in 2005 and other researchers has shown that there is a significant relationship between under-five mortality and unimproved sources of drinking water, duration of breastfeeding status, family size and age of the mother at the child's birth [5,8]. The authors further mentioned that the risk factors in Zambia were malaria, malnutrition, pneumonia, diarrhea, a source of drinking water, and vaccination.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the Correlates of Under-five Mortality in Sudan Using Survey Survival Models

Ayele

Satty

Zewotir

2020

AJRID

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Under-five mortality is among the major public health problems in developing countries, the rate of which is an important factor for a country’s development. For this reason, under-five mortality status is an important outcome to measure for children’s health. This study uses the Cox proportional-hazards model to identify risk factors associated with under-five mortality in Sudan. This study uses the 2014 Sudan Multiple Indicator Cluster Survey (MICS) conducted by the Central Bureau of Statistics in collaboration with several national institutions. The survival Cox proportional-hazards model was used to identify factors that affect under-five child mortality in Sudan. The results show that the weight of a child at birth is positively associated with the under-five child mortality rate. Under-five children who have both small and large weights at birth are at a higher risk of dying before reaching five years. Based on demographic factors associated with under-five mortality, our analysis showed that mothers who were married at the time of the survey are most likely to have higher under-five child mortality as compared to formerly married mothers. In addition to this, that mother’s age at the time of the birth is significantly associated with under-five mortality. Based on the result, the lack of important policies targeting the reduction of socioeconomic inequalities between rural and urban areas is the major problem of public health interventions to improve child health and survival in Sudan.

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“…Several studies have documented the relationship between distance or travel time and health outcomes. Researches about Zambia [29] and Burkina Faso [30] provided proof that a large travel time or distance to a health facility was related to a higher child mortality risk. Similarly, in Uganda it was evidenced that distance to a medical facility affects child mortality and the effect was more evident in children that have mothers with a low level of education [30].…”

Section: Covariatesmentioning

confidence: 99%

Measurement and Correlates of Child Mortality in Yemen

Romanello¹

2018

OALib

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Child mortality is one of the most important indicators of a country's general medical and health quality, and subsequently, the country's level of socioeconomic development. Yemen is one of the poorest countries in the Middle East and North Africa region and has a low Human Development Index (HDI), presenting high rates of child mortality. The objective of this paper is to calculate the rate of infant mortality and child mortality in Yemen and put into evidence some characteristics of households that may influence the rate of child mortality. The database that is used is the Yemen National Social Protection and Monitoring Survey (NSPMS). The Brass indirect method was used for calculating infant and child mortality rates, while Poisson regression was utilized for putting into evidence covariates that may affect mortality. According to the results of Brass indirect analysis, infant and child mortality rates are elevated in Yemen. Poisson regression puts into evidence the importance of mother education, quantity of water available, household economic situation and electricity in household in reducing child mortality. Yemen needs to increase the access to schools of population, particularly of girls, and improve the infrastructure of the country, mainly water and electricity supply, with the objective of further reduction of child mortality.

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Quality of child health care and under-five-mortality in Zambia:

Cited by 4 publications

References 6 publications

The effect of distance to formal health facility on childhood mortality in rural Tanzania, 2005–2007

The effect of distance to formal health facility on childhood mortality in rural Tanzania, 2005–2007

Understanding the Correlates of Under-five Mortality in Sudan Using Survey Survival Models

Measurement and Correlates of Child Mortality in Yemen

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