321 research outputs found

    Illness reporting and demand for medical care in rural Burkina Faso

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    This is the post-print version of the final paper published in Social Science & Medicine. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2010 Elsevier B.V.The issue of illness reporting in modelling demand for health care in low- and middle-income countries can be handled according to either of two conceptually-different constructs: (a) considering illness reporting behaviour as endogenous to demand; or (b) considering demand itself as the outcome of a sample selection phenomenon. In this paper, we take the second viewpoint and estimate the demand for medical care with an estimator that uses Heckman-type. Empirical estimates based on household survey data from rural Burkina Faso suggest that there are some implications of illness reporting behaviour for modelling the demand for medical care.German Science Foundatio

    PHP15 PREFERENCES MATTER: UNDERSTANDING DEMAND FOR VOLUNTARY HEALTH INSURANCE

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    The Evaluation of Community-Based Interventions: Group Randomization, Limits and Alternatives

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    The context of community-based interventions presents formidable problems for any evaluation analysis. Group-randomized studies do possess ideal properties in theory, but in practice, grouprandomization might not be a feasible alternative at all or group-randomized studies might be contaminated. Thus, the decisive advantage of randomized controlled trials, that they and only they provide for a completely convincing identification strategy in the presence of observable and unobservable confounders, is lost. There are alternative strategies for the identification of treatment effects also in the case of unobservable confounders, however, although they specifically require unverifiable a priori information to be available. Moreover, when using non experimental data, one can often easily extend sample size at low cost, and thus estimate parameters very precisely; therefore, for any particular situation the relative attractiveness of experimental and non-experimental approaches should be explored

    Step-wedge cluster-randomised community-based trials: An application to the study of the impact of community health insurance

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    This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.BACKGROUND: We describe a step-wedge cluster-randomised community-based trial which has been conducted since 2003 to accompany the implementation of a community health insurance (CHI) scheme in West Africa. The trial aims at overcoming the paucity of evidence-based information on the impact of CHI. Impact is defined in terms of changes in health service utilisation and household protection against the cost of illness. Our exclusive focus on the description and discussion of the methods is justified by the fact that the study relies on a methodology previously applied in the field of disease control, but never in the field of health financing. METHODS: First, we clarify how clusters were defined both in respect of statistical considerations and of local geographical and socio-cultural concerns. Second, we illustrate how households within clusters were sampled. Third, we expound the data collection process and the survey instruments. Finally, we outline the statistical tools to be applied to estimate the impact of CHI. CONCLUSION: We discuss all design choices both in relation to methodological considerations and to specific ethical and organisational concerns faced in the field. On the basis of the appraisal of our experience, we postulate that conducting relatively sophisticated trials (such as our step-wedge cluster-randomised community-based trial) aimed at generating sound public health evidence, is both feasible and valuable also in low income settings. Our work shows that if accurately designed in conjunction with local health authorities, such trials have the potential to generate sound scientific evidence and do not hinder, but at times even facilitate, the implementation of complex health interventions such as CHI

    Theoretical and Experimental Investigations Regarding Open Volumetric Receivers of CRS

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    AbstractConcentrated sunlight is absorbed in solar thermal power plants by heat resistant absorbers and converted into usable heat which is transferred to a carrier medium. In solar tower power plants such as the plant in JĆ¼lich porous absorbers can reach temperatures up to 1000Ā°C and higher. At this power plant air as heat transfer medium is sucked in through the absorber and heated up to about 700Ā°C. The absorber is composed of highly porous ceramic or metal wire structures. The SIJ investigates the optimization of solar absorption and the convective heat transfer to the air using thermo and fluid mechanical calculations. In such simulations the key quantities are the penetration depth of solar radiation Īŗ and the volumetric heat transfer coefficient Ī±v, which indicates how much energy - depending on the volume and temperature difference - is transferred by convection between solid and fluid. The attenuation of the radiation into the depth of the absorber is described generally by an exponential function with parameter Īŗ. This is accompanied by heat transfer to the structure. Existing models of the key quantities have been validated by experimental data

    Positive influence of short message service and voice call interventions on adherence and health outcomes in case of chronic disease care: a systematic review

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    Background: Chronic diseases have emerged as a serious threat for health, as well as for global development. They endenger considerably increased health care costs and diminish the productivity of the adult population group and, therefore, create a burden on health, as well as on the global economy. As the management of chronic diseases involves long-term care, often lifelong patient adherence is the key for better health outcomes. We carried out a systematic literature review on the impact of mobile health interventions -mobile phone texts and/or voice messages- in high, middle and low income countries to ascertain the impact on patientsā€™ adherence to medical advice, as well as the impact on health outcomes in cases of chronic diseases. Methods: The review identified fourteen related studies following the defined inclusion and exclusion criteria, in PubMed, Cochrane Library, the Library of Congress, and Web Sciences. All the interventions were critically analysed according to the study design, sample size, duration, tools used, and the statistical methods used for analysing the primary data. Impacts of the different interventions on outcomes of interest were also analysed. Results: The findings showed evidence of improved adherence, as well as health outcomes in disease management, using mobile Short Message Systems and/or Voice Calls. Significant improvement has been found on adherence with taking medicine, following diet and physical activity advice, as well as improvement in clinical parameters like HbA1c, blood glucose, blood cholesterol and control of blood pressure and asthma. Conclusions: Though studies showed positive impacts on adherence and health outcomes, three caveats should be considered, (i) there was no clear understanding of the processes through which interventions worked; (ii) none of the studies showed cost data for the m-health interventions and (iii) only short term impacts were captured, it remains unclear whether the effects are sustained. More research is needed in these three areas before drawing concrete conclusions and making suggestions to policy makers for further decision and implementation

    Exploring the use of a general equilibrium method to assess the value of a malaria vaccine: an application to Ghana

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    BACKGROUND: Malaria is an important health and economic burden in sub-Saharan Africa. Conventional economic evaluations typically consider only direct costs to the healthcare system and government budgets. This paper quantifies the potential impact of malaria vaccination on the wider economy, using Ghana as an example METHODS: We used a computable general equilibrium model of the Ghanaian economy to estimate the macroeconomic impact of malaria vaccination in children under the age of five, with a vaccine efficacy of 50% against clinical malaria and 20% against malaria mortality. The model considered changes in demography and labor productivity, and projected gross domestic product (GDP) over a time frame of 30 years. Vaccine coverage ranging from 20% to 100% was compared with a baseline with no vaccination. RESULTS: Malaria vaccination with 100% coverage was projected to increase the GDP of Ghana over 30 years by US$6.93 billion (in 2015 prices) above the baseline without vaccination, equivalent to an increase in annual GDP growth of 0.5%. Projected GDP per capita would increase in the first year due to immediate reductions in time lost from work by adults caring for children with malaria, then decrease for several years as reductions in child mortality increase the number of dependent children, then show a sustained increase after Year 11 due to long-term productivity improvements in adults resulting from fewer malaria episodes in childhood. CONCLUSION: Investing in improving childhood health by vaccinating against malaria could result in substantial long-term macroeconomic benefits when these children enter the workforce as adults. These macroeconomic benefits are not captured by conventional economic evaluations and constitute an important potential benefit of vaccination

    Aggregated Recombinant Human Interferon Beta Induces Antibodies but No Memory in Immune-Tolerant Transgenic Mice

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    Purpose To study the influence of protein aggregation on the immunogenicity of recombinant human interferon beta (rhIFNĪ²) in wild-type mice and transgenic, immune-tolerant mice, and to evaluate the induction of immunological memory. Methods RhIFNĪ²-1b and three rhIFNĪ²-1a preparations with different aggregate levels were injected intraperitoneally in mice 15 Ɨ during 3 weeks, and the mice were rechallenged with rhIFNĪ²-1a. The formation of binding (BABs) and neutralizing antibodies (NABs) was monitored. Results Bulk rhIFNĪ²-1a contained large, mainly non-covalent aggregates and stressed rhIFNĪ²-1a mainly covalent, homogeneous (ca. 100 nm) aggregates. Reformulated rhIFNĪ²-1a was essentially aggregate-free. All products induced BABs and NABs in wild-type mice. Immunogenicity in the transgenic mice was product dependent. RhIFNĪ²-1b showed the highest and reformulated rhIFNĪ²-1a the lowest immunogenicity. In contrast with wild-type mice, transgenic mice did not show NABs, nor did they respond to the rechallenge

    Invited Editorial: Health as a crucial driver for climate policy

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    Health impacts of climate change and the need to prevent them should be at centre stage of the ongoing debate on climate policies (1). We have specifically prepared this series of papers to be available for the COP151 conference in Copenhagen, to which the world looks to agree on targets and procedures to reduce greenhouse gas (GHG) emissions on the basis of fair burden-sharing between high and low-income countries

    The aggregation of cytochrome C may be linked to its flexibility during refolding

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    Large-scale expression of biopharmaceutical proteins in cellular hosts results in production of large insoluble mass aggregates. In order to generate functional product, these aggregates require further processing through refolding with denaturant, a process in itself that can result in aggregation. Using a model folding protein, cytochrome C, we show how an increase in final denaturant concentration decreases the propensity of the protein to aggregate during refolding. Using polarised fluorescence anisotropy, we show how reduced levels of aggregation can be achieved by increasing the period of time the protein remains flexible during refolding, mediated through dilution ratios. This highlights the relationship between the flexibility of a protein and its propensity to aggregate. We attribute this behaviour to the preferential urea-residue interaction, over self-association between molecules
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