ABSTRACT
Children in slums are at high risk of acute malnutrition and death. Cost-effectiveness of community-based management of severe acute malnutrition programmes has been demonstrated previously, but there is limited evidence in the context of urban slums where programme cost structure is likely to vary tremendously. This study assessed the cost-utility of adding a community based prevention and treatment for acute malnutrition intervention to Government of India Integrated Child Development Services (ICDS) standard care for children in Mumbai slums. The intervention is delivered by community health workers in collaboration with ICDS Anganwadi community health workers. The analysis used a decision tree model to compare the costs and effects of the two options: standard ICDS services with the intervention and prevention versus standard ICDS services alone. The model used outcome and cost data from the Society for Nutrition, Education & Health Action's Child Health and Nutrition programme in Mumbai slums, which delivered services to 12,362 children over one year from 2013 to 2014. An activity-based cost model was used, with calculated costs based on programme financial records and key informant interviews. Cost data were coupled with programme effectiveness data to estimate disability adjusted life years (DALYs) averted. The community based prevention and treatment programme averted 15,016 DALYs (95% Uncertainty Interval [UI]: 12,246-17,843) at an estimated cost of $23 per DALY averted (95%UI:19-28) and was thus highly cost-effective. This study shows that ICDS Anganwadi community health workers can work efficiently with community health workers to increase the prevention and treatment coverage in slums in India and can lead to policy recommendations at the state, and potentially the national level, to promote such programmes in Indian slums as a cost-effective approach to tackling moderate and severe acute malnutrition.
Subject(s)
Community Health Services/economics , Cost-Benefit Analysis/economics , Program Evaluation/economics , Severe Acute Malnutrition/epidemiology , Aged , Child , Child, Preschool , Community Health Workers/economics , Female , Humans , India/epidemiology , Male , Middle Aged , Nutritional Status/physiology , Poverty Areas , Severe Acute Malnutrition/prevention & controlABSTRACT
Early nutrition is critical for later health and sustainable development. We determined potential effectiveness of the Kenyan Community Health Strategy in promoting exclusive breastfeeding (EBF) in urban poor settings in Nairobi, Kenya. We used a quasi-experimental study design, based on three studies [Pre-intervention (2007-2011; n=5824), Intervention (2012-2015; n=1110) and Comparison (2012-2014; n=487)], which followed mother-child pairs longitudinally to establish EBF rates from 0 to 6 months. The Maternal, Infant and Young Child Nutrition (MIYCN) study was a cluster randomized trial; the control arm (MIYCN-Control) received standard care involving community health workers (CHWs) visits for counselling on antenatal and postnatal care. The intervention arm (MIYCN-Intervention) received standard care and regular MIYCN counselling by trained CHWs. Both groups received MIYCN information materials. We tested differences in EBF rates from 0 to 6 months among four study groups (Pre-intervention, MIYCN-Intervention, MIYCN-Control and Comparison) using a χ(2) test and logistic regression. At 6 months, the prevalence of EBF was 2% in the Pre-intervention group compared with 55% in the MIYCN-Intervention group, 55% in the MIYCN-Control group and 3% in the Comparison group (P<0.05). After adjusting for baseline characteristics, the odds ratio for EBF from birth to 6 months was 66.9 (95% CI 45.4-96.4), 84.3 (95% CI 40.7-174.6) and 3.9 (95% CI 1.8-8.4) for the MIYCN-Intervention, MIYCN-Control and Comparison group, respectively, compared with the Pre-intervention group. There is potential effectiveness of the Kenya national Community Health Strategy in promoting EBF in urban poor settings where health care access is limited.
Subject(s)
Breast Feeding/methods , Child Nutrition Disorders/prevention & control , Community Health Services , Counseling , Health Promotion , Nutritional Status , Adolescent , Adult , Breast Feeding/statistics & numerical data , Case-Control Studies , Child , Child Nutrition Disorders/epidemiology , Child, Preschool , Community Health Planning , Early Intervention, Educational , Female , Humans , Infant , Infant, Newborn , Kenya/epidemiology , Male , Middle Aged , Patient Education as Topic , Quality Improvement , Research Design , Socioeconomic Factors , Urban Population , Young AdultABSTRACT
BACKGROUND: We describe trends in childhood mortality in Kenya, paying attention to the urban-rural and intra-urban differentials. METHODS: We use data from the Kenya Demographic and Health Surveys (KDHS) collected between 1993 and 2008 and the Nairobi Urban Health and Demographic Surveillance System (NUHDSS) collected in two Nairobi slums between 2003 and 2010, to estimate infant mortality rate (IMR), child mortality rate (CMR) and under-five mortality rate (U5MR). RESULTS: Between 1993 and 2008, there was a downward trend in IMR, CMR and U5MR in both rural and urban areas. The decline was more rapid and statistically significant in rural areas but not in urban areas, hence the gap in urban-rural differentials narrowed over time. There was also a downward trend in childhood mortality in the slums between 2003 and 2010 from 83 to 57 for IMR, 33 to 24 for CMR, and 113 to 79 for U5MR, although the rates remained higher compared to those for rural and non-slum urban areas in Kenya. CONCLUSIONS: The narrowing gap between urban and rural areas may be attributed to the deplorable living conditions in urban slums. To reduce childhood mortality, extra emphasis is needed on the urban slums.
Subject(s)
Child Mortality/trends , Urban Health , Child , Child, Preschool , Female , Health Surveys , Humans , Infant , Infant Mortality/trends , Kenya/epidemiology , Male , Poverty Areas , Rural Population/statistics & numerical data , Urban Population/statistics & numerical dataABSTRACT
Achieving food security in a 'perfect storm' scenario is a grand challenge for society. Climate change and an expanding global population act in concert to make global food security even more complex and demanding. As achieving food security and the millennium development goal (MDG) to eradicate hunger influences the attainment of other MDGs, it is imperative that we offer solutions which are complementary and do not oppose one another. Sustainable intensification of agriculture has been proposed as a way to address hunger while also minimizing further environmental impact. However, the desire to raise productivity and yields has historically led to a degraded environment, reduced biodiversity and a reduction in ecosystem services (ES), with the greatest impacts affecting the poor. This paper proposes that the ES framework coupled with a policy response framework, for example Driver-Pressure-State-Impact-Response (DPSIR), can allow food security to be delivered alongside healthy ecosystems, which provide many other valuable services to humankind. Too often, agro-ecosystems have been considered as separate from other natural ecosystems and insufficient attention has been paid to the way in which services can flow to and from the agro-ecosystem to surrounding ecosystems. Highlighting recent research in a large multi-disciplinary project (ASSETS), we illustrate the ES approach to food security using a case study from the Zomba district of Malawi.
Subject(s)
Agriculture/methods , Climate Change , Conservation of Natural Resources/methods , Ecosystem , Food Supply/methods , Population Growth , Agriculture/trends , Conservation of Natural Resources/trends , MalawiABSTRACT
The aim of this research is to identify the clinical, demographic and service-based determinants of postpartum maternal mortality within Queen Elizabeth Central Hospital, Blantyre, Malawi, during 2001 and 2002. The study uses a case-control design using all postpartum maternal deaths in 2001 and 2002 as cases, with analysis conducted using conditional logistic regression. The results indicate that the mothers' reason for admission into hospital and the outcome of the birth were significantly related to maternal death when analysing all potential explanatory variables in one model. A group of high-risk mothers can be identified using these factors. If these criteria were applied as a predictive tool in the clinical setting the resulting sensitivity and specificity would be over 85%. Identification within the hospital setting of a group of very high-risk mothers in whom serious complications are aggressively managed in a coordinated way across the medical specialties may reduce maternal mortality.
Subject(s)
Maternal Mortality , Postpartum Period , Adolescent , Adult , Case-Control Studies , Female , Humans , Logistic Models , Malawi/epidemiology , Pregnancy , Pregnancy Outcome , Retrospective Studies , Risk Factors , Sensitivity and Specificity , Surveys and QuestionnairesABSTRACT
The aim of this research is to identify the clinical, demographic and service-based determinants of postpartum maternal mortality within Queen Elizabeth Central Hospital, Blantyre, Malawi, during 2001 and 2002. The study uses a case-control design using all postpartum maternal deaths in 2001 and 2002 as cases, with analysis conducted using conditional logistic regression. The results indicate that the mothers' reason for admission into hospital and the outcome of the birth were significantly related to maternal death when analysing all potential explanatory variables in one model. A group of high-risk mothers can be identified using these factors. If these criteria were applied as a predictive tool in the clinical setting the resulting sensitivity and specificity would be over 85%. Identification within the hospital setting of a group of very high-risk mothers in whom serious complications are aggressively managed in a coordinated way across the medical specialties may reduce maternal mortality (Afr J Reprod Health 2008; 12[3]:35-48)
Subject(s)
Case-Control Studies , Malawi , Maternal Mortality , Postpartum Period , Risk FactorsABSTRACT
From population-based surveys in the 1980s in Karonga district, northern Malawi, 197 'index individuals' were identified as HIV-positive. 396 HIV-negative 'index individuals' were selected as a comparison group. These individuals, and their spouses and children, were followed up in 1998-2000. 582 of 593 index individuals were traced. 487 children of HIV-positive, and 1493 children of HIV-negative, parents were included in analyses. Rates of paternal, maternal, and double orphanhood among children with one or both parents HIV-positive were respectively 6, 8, and 17 times higher than for children with HIV-negative parents. Around 50% of children living apart from both parents had a grandparent as their guardian; for most of the rest the guardian was an aunt, uncle, or sibling. There were no child-headed households. Almost all children aged 6-14 were attending primary school. There was no evidence that parental HIV affected primary school attainment among children <15 years old. Children of HIV-positive parents were less likely to have attended secondary school than those of HIV-negative parents. The extended family has mitigated the impact of orphanhood on children, but interventions to reduce the incidence of orphanhood, and/or which strengthen society's ability to support orphans, are essential, especially as the HIV epidemic matures and its full impact is felt.
Subject(s)
HIV Infections/mortality , HIV Seropositivity/mortality , Rural Health/standards , Adolescent , Child , Child, Preschool , Cohort Studies , Female , Follow-Up Studies , Foster Home Care/economics , Foster Home Care/statistics & numerical data , HIV Infections/epidemiology , HIV Seropositivity/epidemiology , Humans , Infant , Malawi/epidemiology , Male , Retrospective Studies , Social ClassABSTRACT
This paper examines the association of the sociodemographic characteristics of women and the unobserved hospital factors with maternal mortality in Kenya using multilevel logistic regression. The data analysed comprise hospital records for 58,151 obstetric admissions in sixteen public hospitals, consisting of 182 maternal deaths. The results show that the probability of maternal mortality depends on both observed factors that are associated with a particular woman and unobserved factors peculiar to the admitting hospital. The individual characteristics observed to have a significant association with maternal mortality include maternal age, antenatal clinic attendance and educational attainment. The hospital variation is observed to be stronger for women with least favourable sociodemographic characteristics. For example, the risk of maternal death at high-risk hospitals for women aged 35 years and above, who had low levels of education, and did not attend antenatal care is about 280 deaths per 1000 admissions. The risk for similar women at low-risk hospitals is about 4 deaths per 1000. To complement results from the analysis of individual patient records, the paper includes findings from hospital staff reports regarding the maternal mortality situation at the hospitals.
Subject(s)
Hospital Mortality , Maternal Health Services/statistics & numerical data , Maternal Mortality , Adolescent , Adult , Data Collection , Educational Status , Female , Health Services Accessibility , Health Status , Humans , Kenya , Logistic Models , Maternal Age , Parity , Pregnancy , Risk FactorsABSTRACT
Studies addressing factors associated with adverse birth outcomes have almost exclusively been based on hospital statistics. This is a serious limitation in developing countries where the majority of births do not occur within health facilities. This paper examines factors associated with premature deliveries, small baby's size at birth and Caesarean section deliveries in Kenya based on the 1993 Kenya Demographic and Health Survey data. Due to the hierarchical nature of the data, the analysis uses multilevel logistic regression models to take into account the family and community effects. The results show that the odds of unfavourable birth outcomes are significantly higher for first births than for higher order births. Furthermore, antenatal care (measured by frequency of antenatal care visits and tetanus toxoid injection) is observed to have a negative association with the incidence of premature births. For the baby's size at birth, maternal nutritional status is observed to be a predominant factor. Short maternal stature is confirmed as a significant risk factor for Caesarean section deliveries. The observed higher odds of Caesarean section deliveries among women from households of high socioeconomic status are attributed to the expected association between socioeconomic status and the use of appropriate maternal health care services. The odds of unfavourable birth outcomes vary significantly between women. In addition, the odds of Caesarean section deliveries vary between districts, after taking into account the individual-level characteristics of the woman.
Subject(s)
Cesarean Section/statistics & numerical data , Infant Welfare , Infant, Small for Gestational Age , Maternal Welfare , Obstetric Labor, Premature/epidemiology , Pregnancy Outcome/epidemiology , Adolescent , Adult , Female , Health Surveys , Humans , Infant, Newborn , Kenya/epidemiology , Logistic Models , Male , Obstetric Labor, Premature/etiology , Odds Ratio , Population Surveillance , Pregnancy , Prenatal Care/standards , Risk Factors , Socioeconomic FactorsABSTRACT
Appropriate antenatal care is important in identifying and mitigating risk factors in pregnancy but many mothers in the developing world do not receive such care. This paper uses data from the 1993 Kenya Demographic and Health Survey to study the variations in the use of antenatal services in Kenya. The analysis is based on modelling the frequency and timing of antenatal visits using three-level linear regression models. The results show that the use of antenatal care in Kenya is associated with a range of socio-economic, cultural and reproductive factors. The availability and accessibility of health services and the desirability of a pregnancy are also important. Use of antenatal care is infrequent for unwanted and mistimed pregnancies; even women who use antenatal care frequently appear to be less consistent if a pregnancy is mistimed. The results also indicate that women are highly consistent in the use of antenatal care during pregnancies. The intra-woman correlation coefficient for the frequency of antenatal visits ranges between 50% and 80% with greater correlation for wanted pregnancies to women in urban areas.
Subject(s)
Maternal Health Services/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Female , Health Services Accessibility , Humans , Kenya , Pregnancy , Pregnancy, Unwanted , Socioeconomic FactorsABSTRACT
The 1988 Malawi Traditional and Modern Methods of Child Spacing Survey data are used to identify determinants of infant mortality in Malawi. The logistic binomial analysis shows that socioeconomic factors are significant even during the neonatal period while the length of the preceding birth interval is significant in the post-neonatal period only. There is a strong familial correlation of mortality risks during both the neonatal and post-neonatal periods but the effect of geographical area of residence is stronger in the post-neonatal period.
PIP: Two logistic binomial models for neonatal mortality (under 1 month) and post-neonatal mortality were used to determine the probability of dying among families in Malawi. Data was obtained from 3043 women aged 15-54 years on 6258 births, which occurred 0-15 years before the survey, from the 1988 Malawi Traditional and Modern Methods of Child Spacing Survey. Mortality included 211 post-neonatal deaths, 147 toddler deaths, and 172 child deaths. Missing information or date of death missing information pertained to 182 reported deaths that were excluded from the analysis. Logistic models were run with the complete sample and the sub-sample and found to have similar results. Findings showed that children born in homes with electricity had 34% lower risk of dying than children born in homes without electricity. Preceding birth interval was unrelated to neonatal mortality. Neonatal mortality rates were significantly higher in Chiradzulu rural area, which was found to have a lower proportion of mothers with five or more years of education. The random term, which was high, suggested a high familial correlation with neonatal mortality risk. Findings showed that families with favorable characteristics living in the Chiradzulu area had a probability of 0.005 of a neonatal death. Low risk families in unfavorable circumstances had lower probabilities of child loss than high risk families with favorable conditions. Significant determinants of post-neonatal mortality were preceding birth interval, maternal education, father's occupation, and geographic area. Women with 9 or more years of education had lower infant mortality risks. Family effects were significant, even after controlling for socioeconomic conditions. The most favorable conditions for child survival were: no preceding child; a preceding birth interval of 19 months or longer; maternal education of 9 or more years; and paternal employment in non-manual work.