43 research outputs found

    Activation of Inflammation/NF-ĪŗB Signaling in Infants Born to Arsenic-Exposed Mothers

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    The long-term health outcome of prenatal exposure to arsenic has been associated with increased mortality in human populations. In this study, the extent to which maternal arsenic exposure impacts gene expression in the newborn was addressed. We monitored gene expression profiles in a population of newborns whose mothers experienced varying levels of arsenic exposure during pregnancy. Through the application of machine learningā€“based two-class prediction algorithms, we identified expression signatures from babies born to arsenic-unexposed and -exposed mothers that were highly predictive of prenatal arsenic exposure in a subsequent test population. Furthermore, 11 transcripts were identified that captured the maximal predictive capacity to classify prenatal arsenic exposure. Network analysis of the arsenic-modulated transcripts identified the activation of extensive molecular networks that are indicative of stress, inflammation, metal exposure, and apoptosis in the newborn. Exposure to arsenic is an important health hazard both in the United States and around the world, and is associated with increased risk for several types of cancer and other chronic diseases. These studies clearly demonstrate the robust impact of a mother's arsenic consumption on fetal gene expression as evidenced by transcript levels in newborn cord blood

    Integrated strategies to tackle the inequitable distribution of doctors in Thailand: four decades of experience

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    Inequitable distribution of doctors with high concentration in urban cities negatively affects the public health objective of Health for All. Thus it is one of the main concerns for most health policy makers, particularly in developing countries. This paper aims to summarize strategies to solve inequitable distribution of human resources for health (HRH) between urban and rural areas, by using four decades of experience in Thailand as a case study for analysis

    The use of discrete choice experiments to inform health workforce policy: a systematic review.

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    BACKGROUND: Discrete choice experiments have become a popular study design to study the labour market preferences of health workers. Discrete choice experiments in health, however, have been criticised for lagging behind best practice and there are specific methodological considerations for those focused on job choices. We performed a systematic review of the application of discrete choice experiments to inform health workforce policy. METHODS: We searched for discrete choice experiments that examined the labour market preferences of health workers, including doctors, nurses, allied health professionals, mid-level and community health workers. We searched Medline, Embase, Global Health, other databases and grey literature repositories with no limits on date or language and contacted 44 experts. Features of choice task and experimental design, conduct and analysis of included studies were assessed against best practice. An assessment of validity was undertaken for all studies, with a comparison of results from those with low risk of bias and a similar objective and context. RESULTS: Twenty-seven studies were included, with over half set in low- and middle-income countries. There were more studies published in the last four years than the previous ten years. Doctors or medical students were the most studied cadre. Studies frequently pooled results from heterogeneous subgroups or extrapolated these results to the general population. Only one third of studies included an opt-out option, despite all health workers having the option to exit the labour market. Just five studies combined results with cost data to assess the cost effectiveness of various policy options. Comparison of results from similar studies broadly showed the importance of bonus payments and postgraduate training opportunities and the unpopularity of time commitments for the uptake of rural posts. CONCLUSIONS: This is the first systematic review of discrete choice experiments in human resources for health. We identified specific issues relating to this application of which practitioners should be aware to ensure robust results. In particular, there is a need for more defined target populations and increased synthesis with cost data. Research on a wider range of health workers and the generalisability of results would be welcome to better inform policy

    Anti-microbials In Society - Thailand, Study 1, 2017-2021

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    The AMIS Project Thailand is an anthropological research project aimed at better understanding the role of antimicrobials in daily life in Thai society in diverse contexts and with different actors, including health care providers, day wage urban workers, scientists and policy-makers. The research focuses on the ways in which antimicrobials enable particular ways of life, livelihoods and institutional practices, and explores the context and the wider motivations for antimicrobial use in Thailand. Specifically, it focusses on access to antimicrobials in community pharmacies in Thailand, the transmission of antimicrobial resistant infection in bedridden patients, and the impact of rational drug use policies.Our use of antibiotics has escalated. We are often most aware of antibiotic use when we treat infections - for people, and animals. However, their use is more widespread. We use them routinely to reduce risks of infection amongst people with vulnerable immune systems, in farming livestock, to manage infection and to promote growth and even in crop farming. This widespread use is linked to a rise in antibiotic resistance (AMR). The amount of antibiotic chemicals in circulation is held responsible for driving selection pressure amongst bacteria such that some infections become untreatable with previously effective drugs. This can have dramatic consequences for both health and economics. And yet, scientists have emphasised the lack of evidence for using antibiotics in many scenarios. For example, it is estimated that at least 50% of human antibiotic usage has no clinical benefit. Policy makers are agreed that we must reduce our reliance on these medicines. But how? Efforts to change end user behaviour are often called for but thus far have not had the widespread impacts required to curb the emergence and spread of resistance. In this research, we propose that antibiotics are embedded within our socioeconomic infrastructure in such a deep way that attempts simply to change behaviour of patients, physicians or farmers are peripheral to our underlying dependency on their use. We suggest that by understanding the ways in which antibiotics are intertwined with our lives, institutions and infrastructures today we may identify ways to replace their use while minimising unintended consequences. For example, attempts to reduce use of one antibiotic often increases the use of another. Removing antibiotics all together may require a more systemic intervention such as the promotion of recovery time. In so-doing, however, other consequences could occur for the workforce and for economies tied up with pharmaceutical production and sales. We need to look closely at measures that have already been taken to reduce antibiotic use and understand what their consequences have been, as well as play out potential new interventions in different settings. If we are able to identify effective measures to reduce reliance on antibiotics in different scenarios, this will be more cost effective and timely than one-size-fits-all efforts to change end user behaviour. The issue of AMR is global, and is expected to have most severe consequences for low and middle income countries (LMICs). The need to reduce use of antibiotics in these settings presents a particular challenge, where markets fill the gaps of fractured health systems. An access-excess balance is described whereby many in need of antimicrobials remain untreated while these medicines are commonly used unnecessarily. This scenario persists despite decades of research and programmes into the rational use of medicines in LMICs. New approaches are needed to uncover the significance of antibiotics in our societies, to understand why the imperative to target their use so difficult to enact. This project presents a fresh approach beyond the traditionally delineated domains of social, biological or clinical sciences. The project aims to launch the AMIS Hub, an internationally recognised centre of excellence for developing, implementing and disseminating high quality research on antimicrobials in society, and two initial studies in Thailand and Uganda with the following objectives: 1) To understand the roles of antibiotics in every-day life and infrastructure 2) To evaluate the impact on care of imperatives to restrict antibiotics 3) To identify and rehearse counterfactuals to antibiotic use. This project will generate a critical mass of researchers undertaking high quality research into AMR, high quality comparative evidence indicating the nature of our reliance on antibiotics and recommendations for alternatives to antibiotics that will minimise unintended consequences.</p
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