4 research outputs found

    Measuring population health: costs of alternative survey approaches in the Nouna Health and Demographic Surveillance System in rural Burkina Faso

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    Background: There are more than 40 Health and Demographic Surveillance System (HDSS) sites in 19 different countries. The running costs of HDSS sites are high. The financing of HDSS activities is of major importance, and adding external health surveys to the HDSS is challenging. To investigate the ways of improving data quality and collection efficiency in the Nouna HDSS in Burkina Faso, the stand-alone data collection activities of the HDSS and the Household Morbidity Survey (HMS) were integrated, and the paper-based questionnaires were consolidated into a single tablet-based questionnaire, the Comprehensive Disease Assessment (CDA). Objective: The aims of this study are to estimate and compare the implementation costs of the two different survey approaches for measuring population health. Design: All financial costs of stand-alone (HDSS and HMS) and integrated (CDA) surveys were estimated from the perspective of the implementing agency. Fixed and variable costs of survey implementation and key cost drivers were identified. The costs per household visit were calculated for both survey approaches. Results: While fixed costs of survey implementation were similar for the two survey approaches, there were considerable variations in variable costs, resulting in an estimated annual cost saving of about US45,000undertheintegratedsurveyapproach.Thiswasprimarilybecausethecostsofdatamanagementforthetablet−basedCDAsurveywereconsiderablylowerthanforthepaper−basedstand−alonesurveys.ThecostperhouseholdvisitfromtheintegratedsurveyapproachwasUS45,000 under the integrated survey approach. This was primarily because the costs of data management for the tablet-based CDA survey were considerably lower than for the paper-based stand-alone surveys. The cost per household visit from the integrated survey approach was US21 compared with US$25 from the stand-alone surveys for collecting the same amount of information from 10,000 HDSS households. Conclusions: The CDA tablet-based survey method appears to be feasible and efficient for collecting health and demographic data in the Nouna HDSS in rural Burkina Faso. The possibility of using the tablet-based data collection platform to improve the quality of population health data requires further exploration

    Health insurance and child mortality in rural Burkina Faso

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    Background: Micro health insurance schemes have been implemented across developing countries as a means of facilitating access to modern medical care, with the ultimate aim of improving health. This effect, however, has not been explored sufficiently. Objective: We investigated the effect of enrolment into community-based health insurance on mortality in children under 5 years of age in a health and demographic surveillance system in Nouna, Burkina Faso. Design: We analysed the effect of health insurance enrolment on child mortality with a Cox regression model. We adjusted for variables that we found to be related to the enrolment in health insurance in a preceding analysis. Results: Based on the analysis of 33,500 children, the risk of mortality was 46% lower in children enrolled in health insurance as compared to the non-enrolled children (HR=0.54, 95% CI 0.43–0.68) after adjustment for possible confounders. We identified socioeconomic status, father's education, distance to the health facility, year of birth, and insurance status of the mother at time of birth as the major determinants of health insurance enrolment. Conclusions: The strong effect of health insurance enrolment on child mortality may be explained by increased utilisation of health services by enrolled children; however, other non-observed factors cannot be excluded. Because malaria is a main cause of death in the study area, early consultation of health services in case of infection could prevent many deaths. Concerning the magnitude of the effect, implementation of health insurance could be a major driving factor of reduction in child mortality in the developing world
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