135 research outputs found

    Socioeconomic Status and Health Outcomes in a Developing Country

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    While the relationship between socioeconomic status (SES) and health is well documented for developed countries, less evidence has been presented for developing countries. The aim of this paper is to analyse this relationship at the household level for Fiji, a developing country in the South Pacific, using original household survey data. To allow for the endogeneity of SES status in the household health production function we utilize a simultaneous equation approach where estimates are achieved by full information maximum likelihood. By restricting our sample to one, relatively small island, and including area and district hospital effects, physical geography effects are unpacked from income effects. We measure SES, as permanent income which is constructed using principal components analysis. An alternative specification considers transitory household income. We find that a 1% increase in wealth (our measure of permanent income) would lead to a 15% decrease in the probability of an incapacitating illness occurring intra-household. While presence of a strong causal relationship indicates that relatively small improvements in SES status can significantly improve health at the household level, it is argued that the design of appropriate policy would also require an understanding of the various mechanisms through which the relationship operates.

    Accelerating Maternal and Child Health Gains in Papua New Guinea

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    Many priority countries in the countdown to the millennium development goals deadline are lagging in progress towards maternal and child health (MCH) targets. Papua New Guinea (PNG) is one such country beset by challenges of geographical inaccessibility, inequity and health system weakness. Several countries, however, have made progress through focused initiatives which align with the burden of disease and overcome specific inequities. This study identifies the potential impact on maternal and child mortality through increased coverage of prioritised interventions within the PNG health system.The burden of disease and health system environment of PNG was documented to inform prioritised MCH interventions at community, outreach, and clinical levels. Potential reductions in maternal and child mortality through increased intervention coverage to close the geographical equity gap were estimated with the lives saved tool.A set community-level interventions, with highest feasibility, would yield significant reductions in newborn and child mortality. Adding the outreach group delivers gains for maternal mortality, particularly through family planning. The clinical services group of interventions demands greater investment but are essential to reach MCH targets. Cumulatively, the increased coverage is estimated to reduce the rates of under-five mortality by 19 %, neonatal mortality by 26 %, maternal mortality ratio by 10 % and maternal mortality by 33 %.Modest investments in health systems focused on disadvantaged populations can accelerate progress in maternal and child survival even in fragile health systems like PNG. The critical approach may be to target interventions and implementation appropriately to the sensitive context of lagging countries

    Cost analysis of the development and implementation of a spatial decision support system for malaria elimination in Solomon Islands

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    BACKGROUND The goal of malaria elimination faces numerous challenges. New tools are required to support the scale up of interventions and improve national malaria programme capacity to conduct detailed surveillance. This study investigates the cost factors influencing the development and implementation of a spatial decision support system (SDSS) for malaria elimination in the two elimination provinces of Isabel and Temotu, Solomon Islands. METHOD Financial and economic costs to develop and implement a SDSS were estimated using the Solomon Islands programme's financial records. Using an ingredients approach, verified by stakeholders and operational reports, total costs for each province were quantified. A budget impact sensitivity analysis was conducted to investigate the influence of variations in standard budgetary components on the costs and to identify potential cost savings. RESULTS A total investment of US96,046(2012constantdollars)wasrequiredtodevelopandimplementtheSDSSintwoprovinces(TemotuProvinceUS 96,046 (2012 constant dollars) was required to develop and implement the SDSS in two provinces (Temotu Province US 49,806 and Isabel Province US46,240).ThesinglelargestexpensecategorywasforcomputerizedequipmenttotallingapproximatelyUS 46,240). The single largest expense category was for computerized equipment totalling approximately US 30,085. Geographical reconnaissance was the most expensive phase of development and implementation, accounting for approximately 62% of total costs. Sensitivity analysis identified different cost factors between the provinces. Reduced equipment costs would deliver a budget saving of approximately 10% in Isabel Province. Combined travel costs represented the greatest influence on the total budget in the more remote Temotu Province. CONCLUSION This study provides the first cost analysis of an operational surveillance tool used specifically for malaria elimination in the South-West Pacific. It is demonstrated that the costs of such a decision support system are driven by specialized equipment and travel expenses. Such factors should be closely scrutinized in future programme budgets to ensure maximum efficiencies are gained and available resources are allocated effectively

    Supporting local planning and budgeting for maternal, neonatal and child health in the Philippines.

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    BACKGROUND: Responsibility for planning and delivery of health services in the Philippines is devolved to the local government level. Given the recognised need to strengthen capacity for local planning and budgeting, we implemented Investment Cases (IC) for Maternal, Neonatal and Child Health (MNCH) in three selected sub-national units: two poor, rural provinces and one highly-urbanised city. The IC combines structured problem-solving by local policymakers and planners to identify key health system constraints and strategies to scale-up critical MNCH interventions with a decision-support model to estimate the cost and impact of different scaling-up scenarios. METHODS: We outline how the initiative was implemented, the aspects that worked well, and the key limitations identified in the sub-national application of this approach. RESULTS: Local officials found the structured analysis of health system constraints helpful to identify problems and select locally appropriate strategies. In particular the process was an improvement on standard approaches that focused only on supply-side issues. However, the lack of data available at the local level is a major impediment to planning. While the majority of the strategies recommended by the IC were incorporated into the 2011 plans and budgets in the three study sites, one key strategy in the participating city was subsequently reversed in 2012. Higher level systemic issues are likely to have influenced use of evidence in plans and budgets and implementation of strategies. CONCLUSIONS: Efforts should be made to improve locally-representative data through routine information systems for planning and monitoring purposes. Even with sound plans and budgets, evidence is only one factor influencing investments in health. Political considerations at a local level and issues related to decentralisation, influence prioritisation and implementation of plans. In addition to the strengthening of capacity at local level, a parallel process at a higher level of government to relieve fund channelling and coordination issues is critical for any evidence-based planning approach to have a significant impact on health service delivery

    Where, when and what? A time study of surgeons' work in urology.

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    INTRODUCTION: Staff time is a relevant resource in the delivery of health care interventions. Its measurement is a prerequisite for unit costing but usually complex. The aim of this study was to analyse the distribution of surgeons' work time among types and places of activities. A second aim was to use these data to calculate costs per unit of output. METHODS: A self-reporting work sampling study was carried out at a department of Urology. All of twelve surgeons involved in clinical care participated in a two-week analysis of their work time. RESULTS: A total of 2,485 data-points were collected, representing about 1,242 hours of work time. Surgeons spent the greater part of their work time in direct patient care, but substantial shares were required for documentation and organisation. Assistants were mainly required at the wards and consultants at the operating theatre and the outpatient unit. Staff costs of surgeons were 32 € and 29 € per patient day at the wards, respectively, 1.30 € per minute at the operating theatre and 32 € per visit at the outpatient unit. CONCLUSION: Results provided a basis for costing of health care interventions at the study site. However, future research should focus on the establishment of standardised terminology in order to increase transferability of results

    Equity and Geography: The Case of Child Mortality in Papua New Guinea

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    Background: Recent assessments show continued decline in child mortality in Papua New Guinea (PNG), yet complete subnational analyses remain rare. This study aims to estimate under-five mortality in PNG at national and subnational levels to examine the importance of geographical inequities in health outcomes and track progress towards Millennium Development Goal (MDG) 4

    Macro-Economic Conditions and Infant Health: A Changing Relationship for Black and White Infants in the United States

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    We study whether the relationship between the state unemployment rate at the time of conception and infant health, infant mortality and maternal characteristics in the United States has changed over the years 1980-2004. We use microdata on births and deaths for years 1980-2004 and find that the relationship between the state unemployment rate at the time of conception and infant mortality and birthweight changes over time and is stronger for blacks than whites. For years 1980-1989 increases in the state unemployment rate are associated with a decline in infant mortality among blacks, an effect driven by mortality from gestational development and birth weight, and complications of placenta while in utero. In contrast, state economic conditions are unrelated to black infant mortality in years 1990-2004 and white infant mortality in any period, although effects vary by cause of death. We explore potential mechanisms for our findings and, including mothers younger than 18 in the analysis, uncover evidence of age-related maternal selection in response to the business cycle. In particular, in years 1980-1989 an increase in the unemployment rate at the time of conception is associated with fewer babies born to young mothers. The magnitude and direction of the relationship between business cycles and infant mortality differs by race and period. Age-related selection into motherhood in response to the business cycle is a possible explanation for this changing relationship
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