Elsevier

The Lancet

Volume 366, Issue 9495, 22–28 October 2005, Pages 1460-1466
The Lancet

Articles
Co-coverage of preventive interventions and implications for child-survival strategies: evidence from national surveys

https://doi.org/10.1016/S0140-6736(05)67599-XGet rights and content

Summary

Background

In most low-income countries, several child-survival interventions are being implemented. We assessed how these interventions are clustered at the level of the individual child.

Methods

We analysed data from Bangladesh, Benin, Brazil, Cambodia, Eritrea, Haiti, Malawi, Nepal, and Nicaragua. A co-coverage score was obtained by adding the number of interventions received by each child (including BCG, diphtheria-pertussis-tetanus, and measles vaccines), tetanus toxoid for the mother, vitamin A supplementation, antenatal care, skilled delivery, and safe water. Socioeconomic status was assessed through principal components analysis of household assets, and concentration indices were calculated.

Findings

The percentage of children who did not receive a single intervention ranged from 0·3% (14/5495) in Nicaragua to 18·8% (1154/6144) in Cambodia. The proportions receiving all available interventions varied from 0·8% (48/6144) in Cambodia to 13·3% (733/5495) in Nicaragua. There were substantial inequities within all countries. In the poorest wealth quintile, 31% of Cambodian children received no interventions and 17% only one intervention; in Haiti, these figures were 15% and 17%, respectively. Inequities were inversely related to coverage levels. Countries with higher coverage rates tended to show bottom inequity patterns, with the poorest lagging behind all other groups, whereas low-coverage countries showed top inequities with the rich substantially above the rest.

Interpretation

The inequitable clustering of interventions at the level of the child raises the possibility that the introduction of new technologies might primarily benefit children who are already covered by existing interventions. Packaging several interventions through a single delivery strategy, while making economic sense, could contribute to increased inequities unless population coverage is very high. Co-coverage analyses of child-health surveys provide a way to assess these issues.

Introduction

In most low-income countries, coverage rates for child-survival interventions are low, and millions of children die every year from diseases for which there are effective interventions.1, 2 Furthermore, there are important inequities between different social groups in nearly all low-income and middle-income countries3, 4 and even within rural populations that may appear to be uniformly poor.5 Children belonging to the poorest families are consistently less likely to receive preventive and curative interventions than those from other families.6, 7

In low-income countries various child-survival interventions are being implemented simultaneously.1, 2 These include preventive interventions such as vaccines, insecticide treated mosquito nets, micronutrient supplementation, nutrition counselling (breastfeeding and complementary feeding), growth monitoring, and appropriate newborn care. Additionally, health systems in most countries provide many case-management interventions, including oral rehydration therapy, antibiotics, and antimalarials.

We assessed the joint distribution of key preventive interventions in children younger than 5 years and investigated how many separate child-survival interventions each child is receiving and whether this number differed by the sex of the child. We also studied the role of social inequities in co-coverage, and discuss here possible implications for planning the delivery of child-survival interventions.

Section snippets

Study samples

We selected low-income countries for which Demographic and Health Surveys (DHS)8 datasets obtained since 1999 were available for secondary analysis and included the variables needed for analysis of intervention coverage rates and equity. We attempted to include countries from different regions of the world. Brazil was also included, despite the fact that the survey data were from 1996, as an example of a middle-income country with high coverage of most child-survival interventions. The data

Results

The overall response rates, combining response at household and individual level, were 86% for Brazil, 88% for Nicaragua, and 93% or more for the other seven countries. Table 1 shows the numbers of children available for analysis by sex, age, and socioeconomic group. The smallest dataset was that from Benin and the largest was from Malawi. Boys comprised about half of all samples, and the age distribution was reasonably uniform across the four age-groups studied. Wealth quintiles were

Discussion

The results, drawn from nationally representative samples of children and mothers in nine low-income and middle-income countries, show that even though there are many child-survival intervention programmes running in all countries, some children receive no interventions while others receive many. Furthermore, the probability of receiving interventions is directly associated with socioeconomic level, with poor children receiving fewer interventions than their wealthier peers. This finding

References (26)

  • Demographic and Health Surveys (DHS): Benin report 2001

  • Demographic and Health Surveys (DHS): Brazil report 1996

  • Demographic and Health Surveys (DHS): Cambodia report 2000

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