Using surveys for management and measurement of health in developing countries

Summary National household surveys have been a basic statistical feature for many decades in the industrialized countries and more recently in the developing world. This paper deals with the potential of national household surveys for obtaining health information in developing countries. In this regard the United Nations National Household Survey Capability Programme (NHSCP) aims at collaborating with developing countries to establish a continuing flow of integrated statistics.

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Erhebungen über Gesundheit in Entwicklungsländern

Zusammenfassung Seit kurzem finden sich auch in Entwicklungsländern immer mehr Ansätze zur Verbesserung der Gesundheitsstatistischen Systeme. Die vorliegende Arbeit diskutiert den möglichen Nutzen von nationalen Haushaltbefragungen zur Erfassung des Gesundheitszustandes der Bevölkerungen in Entwicklungsländern. Das diesbezügliche Förderungsprogramm der UNO (UN National Household Survey Capability Programme NHSCP) hat zum Ziel, in Zusammenarbeit mit Entwicklungsländern ein System von kontinuierlichen Datenerhebungen zu entwickeln.

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Enquêtes de santé dans les pays en voie de développement

Resume Dans les pays en voie de développement également des efforts de plus en plus importants sont mis en oeuvre pour l'amélioration du système des statistiques de santé. Le présent article analyse les possibilités d'enquêtes auprès de la population sur le plan national pour obtenir des données concernant l'état de santé des habitants des pays en voie de développement. Un programme de grande envergure des Nations Unies (UN National Household Survey Capability Programme NHSCP) a pour but, en collaboration avec les pays en voie de développement, d'établir un système de statistiques sanitaires permanent.

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The views expressed in this paper are those of the author and not necessarily those of the United Nations.

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Presented at the Xth Scientific Meeting of the International Epidemiological Association, Vancouver, B.C., 19–25 August 1984.     

Consequences of household air pollution on child survival: evidence from demographic and health surveys in 47 countries

Background: Over one-third of the world’s population is exposed to household air pollution (HAP) but the separate effects of cooking with solid fuel and kerosene on childhood mortality are unclear.

Objectives: To evaluate the effects of both solid fuels and kerosene on neonatal (0-28 days) and child (29 days-59 months) mortality.

Methods: We used Demographic and Health Surveys from 47 countries and calculated adjusted relative risks (aRR) using Poisson regression models.

Results: The aRR of neonatal and child mortality in households exposed to solid fuels were 1.24 (95% CI: 1.14, 1.34) and 1.21 (95% CI: 1.12, 1.30), respectively, and the aRR for neonatal and child mortality in households exposed to kerosene were 1.34 (95% CI: 1.18, 1.52) and 1.12 (95% CI: 0.99, 1.27), controlling for individual, household, and country-level predictors of mortality.

Conclusions: Kerosene should not be classified as a clean fuel. Neonates are at risk for mortality from exposure to solid fuels and kerosene.     

Consequences of household air pollution on child survival: evidence from demographic and health surveys in 47 countries

Background: Over one-third of the world’s population is exposed to household air pollution (HAP) but the separate effects of cooking with solid fuel and kerosene on childhood mortality are unclear.Objectives: To evaluate the effects of both solid fuels and kerosene on neonatal (0-28 days) and child (29 days-59 months) mortality.Methods: We used Demographic and Health Surveys from 47 countries and calculated adjusted relative risks (aRR) using Poisson regression models.Results: The aRR of neonatal and child mortality in households exposed to solid fuels were 1.24 (95% CI: 1.14, 1.34) and 1.21 (95% CI: 1.12, 1.30), respectively, and the aRR for neonatal and child mortality in households exposed to kerosene were 1.34 (95% CI: 1.18, 1.52) and 1.12 (95% CI: 0.99, 1.27), controlling for individual, household, and country-level predictors of mortality.Conclusions: Kerosene should not be classified as a clean fuel. Neonates are at risk for mortality from exposure to solid fuels and kerosene.     

Triangulating health expenditure estimates from different data sources in developing countries

This article deals with the accuracy of statistical records used for political decision making and international comparative analysis. In developing countries, even major macroeconomic indicators can include data inadequacies and methodological differences in data generation between statistical agencies. Existing data show that total health expenditure as a percentage of GDP is about 50% lower in Pakistan than in other low-income countries (LIC). To determine whether these results reflect the actual situation in Pakistan or whether they are due to statistical error, Pakistan produced National Health Accounts (NHA) for the first time in 2009 to assess health spending in 2005-6. Improved NHA estimates are also being made for 2007-8, which will be based on the following: public expenditure data published with time lags; survey results for 2007-8; and multivariate analyses of data from 2010 and 2011 surveys on health-specific out-of-pocket (OOP) expenditure, healthcare providers, non-profit institutions and census data on autonomous bodies and large hospitals. Since these data are not yet available, a best estimate of health expenditure has to be made to support policy decision making and to provide a point of comparison for future NHA results. Health expenditure data are available from different data sources and estimates have been made by applying different methods, leading to a range of health spending estimates. As a result of this diversity of estimates and data, each with its own inaccuracies or gaps, there was a clear need to triangulate the available information and to identify a best possible estimate. This article compares estimates of household health expenditure from different sources, such as the Household Integrated Economic Survey, the Family Budget Survey and National Accounts (NA). The analysis shows that health expenditure figures for Pakistan have been underestimated by both WHO and the NHA. An adjusted estimate shows OOP spending to be twice as high as previously thought. Previous per capita total health expenditure estimates ranged from $US16 to $US19. The revised estimate showed per capita total health expenditure to be $US33, based on NA data. This puts Pakistan in a different position in international comparisons, with health expenditure exceeding the level of India ($US32.5) and the average of all LIC ($US24.5). Methodological differences in estimating expenditure and the multiple and conflicting estimates might cause stakeholders to make potentially adverse or even erroneous policy decisions on the allocation of resources. Because policy makers make decisions based on the estimates provided, the provision of a best estimate, made following a review of the advantages and limitations of existing sources and methods, is key.     

Monitoring equity in vaccination coverage: A systematic analysis of demographic and health surveys from 45 Gavi-supported countries

Objectives(1) To conduct a systematic analysis of inequalities in childhood vaccination coverage in Gavi-supported countries; (2) to comparatively assess alternative measurement approaches and how they may affect cross-country comparisons of the level of inequalities.MethodsUsing the most recent Demographic and Health Surveys (2005–2014) in 45 Gavi-supported countries, we measured inequalities in vaccination coverage across seven dimensions of social stratification and of vulnerability to poor health outcomes. We quantified inequalities using pairwise comparisons (risk differences and ratios) and whole spectrum measures (slope and relative indices of inequality). To contrast measurement approaches, we pooled the estimates using random-effects meta-analyses, ranked countries by the magnitude of inequality and compared agreement in country ranks.ResultsAt the aggregate level, maternal education, multidimensional poverty, and wealth index poverty were the dimensions associated with the largest inequalities. In 36 out of 45 countries, inequalities were substantial, with a difference in coverage of 10 percentage points or more between the top and bottom of at least one of these social dimensions. Important inequalities by child sex, child malnutrition and urban/rural residence were also found in a smaller set of countries. The magnitude of inequality and ranking of countries differed across dimension and depending on the measure used. Pairwise comparisons could not be estimated in certain countries. The slope and relative indices of inequality were estimated in all countries and produced more stable country rankings, and should thus facilitate more reliable international comparisons.ConclusionsInequalities in vaccination coverage persist in a large majority of Gavi-supported countries. Inequalities should be monitored across multiple dimensions of vulnerability. Using whole spectrum measures to quantify inequality across multiple ordered social groups has important advantages. We illustrate these findings using an equity dashboard designed to support decision-making in the Sustainable Development Goals period.     

A simplified general method for cluster-sample surveys of health in developing countries

General guidelines are presented for the use of cluster-sample surveys for health surveys in developing countries. The emphasis is on methods which can be used by practitioners with little statistical expertise and no background in sampling. A simple self-weighting design is used, based on that used by the World Health Organization's Expanded Programme on Immunization (EPI). Topics covered include sample design, methods of random selection of areas and households, sample-size calculation and the estimation of proportions, ratios and means with standard errors appropriate to the design. Extensions are discussed, including stratification and multiple stages of selection. Particular attention is paid to allowing for the structure of the survey in estimating sample size, using the design effect and the rate of homogeneity. Guidance is given on possible values for these parameters. A spreadsheet is included for the calculation of standard errors.     

Prospects, problems, and prerequisites for national health examination surveys in developing countries

Design options for the development of health information systems are evaluated. The health examination survey is found to be an appropriate method for meeting data needs for health planning, program design, and evaluation activities in developing countries. The model proposed is a national cross-sectional prevalence survey employing both interviews and physical examinations to produce a health status profile of a countries population. Examination data are objective, internationally comparable, and not dependent upon reports of clinical encounters in the population. Limitations inherent to health examination surveys are reviewed in reference to their potential in developing countries. Not all countries may be able to conduct health examination surveys; criteria are presented to assist in evaluation of the feasibility of application in specific countries.     

Inequalities in health care use and expenditures: empirical data from eight developing countries and countries in transition

This paper summarizes eight country studies of inequality in the health sector. The analyses use household data to examine the distribution of service use and health expenditures. Each study divides the population into "income" quintiles, estimated using consumption expenditures. The studies measure inequality in the use of and spending on health services. Richer groups are found to have a higher probability of obtaining care when sick, to be more likely to be seen by a doctor, and to have a higher probability of receiving medicines when they are ill, than the poorer groups. The richer also spend more in absolute terms on care. In several instances there are unexpected findings. There is no consistent pattern in the use of private providers. Richer households do not devote a consistently higher percentage of their consumption expenditures to health care. The analyses indicate that intuition concerning inequalities could result in misguided decisions. It would thus be worthwhile to measure inequality to inform policy-making. Additional research could be performed using a common methodology for the collection of data and applying more sophisticated analytical techniques. These analyses could be used to measure the impact of health policy changes on inequality.     

School feeding programs in developing countries: impacts on children's health and educational outcomes

School feeding programs (SFPs) are intended to alleviate short-term hunger, improve nutrition and cognition of children, and transfer income to families. The present review explores the impact of SFPs on nutritional, health, and educational outcomes of school-aged children in developing countries. Peer-reviewed journal articles and reviews published in the past 20 years were identified and screened for inclusion. Analysis of the articles revealed relatively consistent positive effects of school feeding in its different modalities on energy intake, micronutrient status, school enrollment, and attendance of the children participating in SFPs compared to non-participants. However, the positive impact of school feeding on growth, cognition, and academic achievement of school-aged children receiving SFPs compared to non-school-fed children was less conclusive. This review identifies research gaps and challenges that need to be addressed in the design and implementation of SFPs and calls for theory-based impact evaluations to strengthen the scientific evidence behind designing, funding, and implementing SFPs.     

Testing for fertility stalls in demographic and health surveys

ABSTRACT: This study compares two methods for testing fertility trends and fertility stalls using Demographic and Health Surveys data. The first method is based on linear regression and uses the equivalence of period and cohort estimates with the same cumulative fertility at age 40, the same number of births, and the same distribution of women by parity. The second method is based on logistic regression. It assumes that the age pattern of fertility is constant over short periods of time. Both methods were applied to fertility trends in several African countries (Ghana, Kenya, Madagascar, Nigeria, Rwanda, Senegal, Tanzania, and Zambia). The two methods were found to predict similar values of cumulative fertility, to produce consistent slopes, to document fertility trends the same way, and to characterize fertility stalls with similar statistical evidence. They can also be used to refute apparent fertility stalls obtained when comparing two point estimates from two successive surveys.     

Urbanization and health in developing countries

In developing countries the level of urbanization is expected to increase to 39.5% by the end of this century and to 56.9% by 2025. The number of people living in slums and shanty towns represent about one-third of the people living in cities in developing countries. This article focuses upon these poor urban populations and comments upon their lifestyle and their exposure to hazardous environmental conditions which are associated with particular patterns of morbidity and mortality. The concept of marginality has been used to describe the lifestyle of the urban poor in developing countries. This concept is critically examined and it is argued that any concept of the urban poor in developing countries being socially, economically or politically marginal is a myth. However, it can certainly be claimed that in health terms the urban poor are marginal as demonstrated by some of the studies reviewed in this article. Most studies of the health of the urban poor in developing countries concentrate on the environmental conditions in which they live. The environmental conditions of the urban poor are one of the main hazards of the lifestyle of poor urban residents. However, other aspects of their way of life, or lifestyle, have implications for their health. Issues such as smoking, diet, alcohol and drug abuse, and exposure to occupational hazards, have received much less attention in the literature and there is an urgent need for more research in these areas.