Construction of a socio-economic index to facilitate analysis of health data in developing countries

Cortinovis, Ivan; Vella, Venanzio; Ndiku, Judah

doi:10.1016/0277-9536(93)90127-p

Cited by 88 publications

(73 citation statements)

References 3 publications

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“…The independent factors influencing bed nets can be 15 and in other low-income countries. 16 The influence of age on bed nets use was surprising and may indicate that younger people are more likely to heed health education messages.…”

Section: Discussionmentioning

confidence: 99%

Factors influencing the use of bed nets in Mbarara municipality of Uganda.

Nuwaha¹

2001

Am J Trop Med Hyg

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Abstract. In order to identify independent predictors for bed net use, respondents from 643 households selected randomly from 21 clusters were interviewed in Mbarara municipality, Uganda. Respondents answered questions about demographic characteristics, social economic conditions, causes and transmission of malaria, beliefs about severity and complications of malaria, malaria morbidity and health care-seeking behavior, perceived control of malaria prevention, beliefs about utility of bed nets, perceived susceptibility to malaria, and whether they use bed nets or not. Univariate and multivariate logistic regression analyses were used to identify predictors for bed net use. Fifty-five percent (356 of 643) of the households had bed net users. The independent factors that favored bed net use were as follows: 1) age Ͻ 30 years, 2) ownership of a television, 3) having mosquito nets in ventilators of the house, 4) being a skilled worker or a professional, or owning a major business, 5) living in a permanent house, 6) believing that bed nets prevent malaria, 7) believing that bed nets are worth their cost, 8) not believing that convulsions cannot be cured by modern medicine, and 9) believing that bed nets are not expensive. The strongest predictors of bed net use are living in a permanent house and agreeing that bed nets are worth their cost, with adjusted odds ratios of 4.29 (95% confidence interval, 2.76-6.71) and 3.93 (95% confidence interval, 2.5-26.13), respectively. These data suggest that in order to increase the use of bed nets, the price of bed nets needs to be reduced and educational messages that stress the favorable use of bed nets need to be increased.

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Section: Discussionmentioning

confidence: 99%

Factors influencing the use of bed nets in Mbarara municipality of Uganda.

Nuwaha¹

2001

Am J Trop Med Hyg

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“…Several authors have used MCA as a weighting method for the construction of a composite index (Canuel et al 2014;Charreire et al 2010;Cortinovis et al 1993;Dossa et al 2011;Howe et al 2008). MCA is a data reduction procedure for categorical variables (nominal or ordinal) as much as Principal Components Analysis is for quantitative variables (Greenacre 2007).…”

Section: Building the Indexmentioning

confidence: 99%

An adaptation index to high summer heat associated with adverse health impacts in deprived neighborhoods

et al. 2015

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Socially and materially disadvantaged urban areas present a group of factors strongly correlated with high heat and humidity adverse health effects, particularly in densely populated cities where the heat island effect extends over large areas. This paper presents an adaptation index to high summer heat whose validity was tested by correlating it with selfreported adverse health impacts to heat. The data comes from a 2011 cross-sectional study conducted in the most deprived areas in 9 cities of 100,000 or more inhabitants in Quebec (Canada). In total, 3,485 people were interviewed at home. An index of various behavioral adaptations was developed using a Multiple Correspondence Analysis. This individual-level adaptation index summarizes a range of 14 easy-to-use and energy-efficient solutions for cooling off or protecting oneself against the sun, both at home and in other places, whether indoors or out. In addition, it shows that adaptation to heat goes beyond air conditioning in the home. People who experience adverse effects of heat on their health tend to adopt more of the behaviors measured by the index than those perceiving little or none, regardless of their age group or presence of air conditioning at home. Monitoring and improving this index over time Climatic Change (2015) 132:279-293 DOI 10.1007/s10584-015-1420 Electronic supplementary material The online version of this article (doi:10.1007/s10584-015-1420-4) contains supplementary material, which is available to authorized users. Ouranos, Montréal, QC, Canada and in several populations and contexts would establish a significant milestone for adaptation in health promotion and prevention.

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“…In addition, the benefits of improved services provision are central to the cycle of disease and poverty, but they are rarely enjoyed by the most vulnerable (Cortinovis et al, 1993). Up to date, progress in ensuring access to these basic services has remained elusive in much of the developing world, where recent estimates show that a vast proportion of people still lack a simple pit latrine and a source of safe drinking water (Joint Monitoring Programme, 2014).…”

Section: Introductionmentioning

confidence: 99%

Improved monitoring framework for local planning in the water, sanitation and hygiene sector: From data to decision-making

Garriga

Palencia

Foguet

2015

Science of The Total Environment

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Today, a vast proportion of people still lack a simple pit latrine and a source of safe drinking water. To help end this appalling state of affairs, there is a pressing need to provide policymakers with evidences in which base effective planning, targeting and prioritization. Two major challenges often hinder this process: i) lack of reliable data to identify which areas are most in need; and ii) inadequate instruments for decision-making support.In tackling previous shortcomings, this paper proposes a monitoring framework to compile, analyse, interpret and disseminate water, sanitation and hygiene information. In an era of decentralization, where decision-making moves to local governments, we apply such framework at the local level. The ultimate goal is to develop appropriate tools for decentralized planning support. To this end, the study first implements a methodology for primary data collection, which combines the household and the waterpoint as information sources. In doing so, we provide a complete picture of the context in which domestic WASH services are delivered. Second, the collected data are analysed to underline the emerging development challenges. The use of simple planning indicators serves as the basis to i) reveal which areas require policy attention, and to ii) identify the neediest. Third, a classification process is proposed to prioritize among various populations. Three different case studies from East and Southern African countries are presented. Results indicate that accurate and comprehensive data, if adequately exploited through simple instruments, may be the basis of effective targeting and prioritization, which are central to sector planning. The application of the proposed framework in the real world, however, is to a certain extent elusive; and we point out to conclude two specific challenges that remain unaddressed, namely the upgrade of existing decisionmaking processes to enhance transparency and inclusiveness, and the development of data updating mechanisms.

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Construction of a socio-economic index to facilitate analysis of health data in developing countries

Cited by 88 publications

References 3 publications

Factors influencing the use of bed nets in Mbarara municipality of Uganda.

Factors influencing the use of bed nets in Mbarara municipality of Uganda.

An adaptation index to high summer heat associated with adverse health impacts in deprived neighborhoods

Improved monitoring framework for local planning in the water, sanitation and hygiene sector: From data to decision-making

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