4 research outputs found

    Using a realist approach to evaluate smoking cessation interventions targeting pregnant women and young people

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    Background This paper describes a study protocol designed to evaluate a programme of smoking cessation interventions targeting pregnant women and young people living in urban and rural locations in Northeast Scotland. The study design was developed on so-called 'realist' evaluation principles, which are concerned with the implementation of interventions as well as their outcomes. Methods/design A two-phased study was designed based on the Theory of Change (TOC) using mixed methods to assess both process and outcome factors. The study was designed with input from the relevant stakeholders. The mixed-methods approach consists of semi-structured interviews with planners, service providers, service users and non-users. These qualitative interviews will be analysed using a thematic framework approach. The quantitative element of the study will include the analysis of routinely collected data and specific project monitoring data, such as data on service engagement, service use, quit rates and changes in smoking status. Discussion The process of involving key stakeholders was conducted using logic modelling and TOC tools. Engaging stakeholders, including those responsible for funding, developing and delivering, and those intended to benefit from interventions aimed at them, in their evaluation design, are considered by many to increase the validity and rigour of the subsequent evidence generated. This study is intended to determine not only the components and processes, but also the possible effectiveness of this set of health interventions, and contribute to the evidence base about smoking cessation interventions aimed at priority groups in Scotland. It is also anticipated that this study will contribute to the ongoing debate about the role and challenges of 'realist' evaluation approaches in general, and the utility of logic modelling and TOC approaches in particular, for evaluation of complex health interventions

    Overlapped metabolic and therapeutic links between Alzheimer and diabetes

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    Alzheimer's disease (AD) and diabetes are among the most common diseases associated with ageing. The pathology of AD is strongly associated with accumulated misfolding proteins that results in neuronal dysfunction within the brain. Diabetes, on the contrary, is characterised by altered insulin signaling that results in reduced glucose uptake, metabolic suppression of energy consuming cells and conversion of glucose to fat in the liver. Despite distinguishing features, these diseases share common elements and may in fact be viewed as fundamentally similar disorders that differ in magnitude of specific traits, primarily affected tissues and time of onset. In this review, we outline the fundamental basis of each of the two diseases and highlight similarities in their pathophysiology. Further ahead we will discuss these features in relation to the development of drugs to treat these two diseases, particularly AD, for which the development of therapeutic chemicals has proven to be particularly difficult. We conclude with comments on efforts to develop a simple organism, Caenorhabditis elegans, as a genetic model to be used to study the systems biology of diabetes and AD
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