985 resultados para recherche qualitative
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The aim of this research was to explore consumer perceptions of personalised nutrition and to compare these across three different levels of "medicalization": lifestyle assessment (no blood sampling); phenotypic assessment (blood sampling); genomic assessment (blood and buccal sampling). The protocol was developed from two pilot focus groups conducted in the UK. Two focus groups (one comprising only "older" individuals between 30 and 60 years old, the other of adults 18-65 yrs of age) were run in the UK, Spain, the Netherlands, Poland, Portugal, Ireland, Greece and Germany (N = 16). The analysis (guided using grounded theory) suggested that personalised nutrition was perceived in terms of benefit to health and fitness and that convenience was an important driver of uptake. Negative attitudes were associated with internet delivery but not with personalised nutrition per se. Barriers to uptake were linked to broader technological issues associated with data protection, trust in regulator and service providers. Services that required a fee were expected to be of better quality and more secure. An efficacious, transparent and trustworthy regulatory framework for personalised nutrition is required to alleviate consumer concern. In addition, developing trust in service providers is important if such services to be successful. (C) 2013 Elsevier Ltd. All rights reserved.
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No abstract available
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Background: Cancer cachexia is not well understood or managed in clinical practice (Delmore 2000; Poole and Froggatt 2002). Whilst a dedicated effort has been made towards understanding the biological processes of the syndrome, little attention has been paid to its multidimensional impact. This is despite previous qualitative research, enriching our understanding of the holistic impact of the syndrome which traditional quantitative methods could not have uncovered (Reid 2007).
Aim: The aim of this study is to determine the adequacy of the existing clinical knowledge base of cancer cachexia management.
Methods: A systematic critical review of the literature on cancer cachexia was undertaken.
Results: There is a need to develop protocols for care delivery, which move beyond a purely biological approach to care towards a more holistic approach. This can only be achieved by gaining the perspectives of those who are involved in care delivery to advanced cancer patients with cachexia and their families using qualitative methodologies.
Conclusions: Cancer cachexia is a complex, challenging syndrome, which must be understood from a holistic bio-psychosocial model of care in order to meet the multidimensional needs of this client population. The perspectives of those involved in care delivery is required in order to contribute to a knowledge base which will inform the development of interventions directed at empowering patients and their families to understand cancer cachexia and recognise it as part of the disease process.
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The aim of this article is to consider the value of qualitative research to inform nurse education and policy for the hospitalized child and young person (CYP). The theoretical issues and tensions inherent in qualitative research with children and young people’s nursing are presented in conjunction with a discussion and analysis of how the epistemological and ontological concepts underpin and guide research. It is then followed by an exploration of their influence on enabling nurses to understand the CYP’s perspective, before finally leading to an analysis of the impact on the development of policy and research.
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This study explored the experiences of informal carers who were aged 65 years and over. It has been estimated that 15 per cent of those aged 65 or over provide some form of informal care in England. Despite a growing literature on the involvement of older people in research, there is a paucity of literature on the involvement of older carers. In this study, older carers were identified via a General Practice (GP) register in one urban medical practice. Data was collected through a series of focus groups, which were transcribed and analysed using
thematic analysis. Every carer aged 55 or over and registered with the medical practice was invited to take part in the study. Four female carers and one male carer took part in the study (age range 65-83). Themes that emerged during data analysis included, 1) managing things in an emergency, 2) feeling valued because they took part in the research and 3) the day-to-day reality of living with social exclusion. GP registers provide a valuable tool for identifying older
carers who may otherwise be difficult to engage in research. However, persuading GPs to engage with qualitative research may be a challenge.
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The paper reports on a qualitative study exploring disordered eating in younger first-year students studying for professional health care related degrees (n=12), and highlights a number of support mechanisms and services required for those students at risk.
Key issues emerging in relation to disordered eating included: concealment; lack of understanding to the nature/risks associated; its use as a stress coping mechanism; isolation; perception as mental health issues with attaching stigma and reticence to acknowledge; invisible experience; wariness of eating in more public refectories. Finally positivity about their arrival at university and that their experience with disordered eating could potentially add to their repertoire as future health care professionals.
Conclusion: The University could; further develop its outreach to new students with a more consistently supportive person-centred program including stress training and more support via student buddying; extend its program on positive mental health; greater awareness particularly the sub-clinical group; consider some small changes and adaptations to the refectory eating areas to better facilitate at- risk students. Finally the University could perhaps better use the first few months of student's arrival at university to help embed a program to develop a stronger sense of coherence and well-being.
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RATIONALE, AIMS AND OBJECTIVES: Health care services offered to the public should be based on the best available evidence. We aimed to explore pharmacy tutors' and trainees' views on the importance of evidence when making decisions about over-the-counter (OTC) medicines and also to investigate whether the tutor influenced the trainee in practice.
METHODS: Following ethical approval and piloting, semi-structured interviews were conducted with pharmacy graduates (trainees) and pharmacist tutors. Transcribed interview data were entered into the NVivo software package (version 10), coded and analysed via thematic analysis.
RESULTS: Twelve trainees (five males, seven females) and 11 tutors (five males, six females) participated. Main themes that emerged were (in)consistency and contradiction, confidence, acculturation, and continuation and perpetuation. Despite having an awareness of the importance and potential benefits, an evidence-based approach did not seem to be routinely or consistently implemented in practice. Confidence in products was largely derived from personal use and patient feedback. A lack of discussion about evidence was justified on the basis of not wanting to lessen patient confidence in requested product(s) or possibly negating the placebo effect. Trainees became acculturated to 'real-life' practice; university teaching and evidence was deemed less relevant than meeting customer expectations. The tutor's actions were mirrored by their trainee resulting in continuation and perpetuation of the same professional attitudes and behaviours.
CONCLUSIONS: Evidence appeared to have limited influence on OTC decision making. The tutor played a key role in the trainee's professional development. More work could be performed to investigate how evidence can be regarded as relevant and something that is consistently implemented in practice.
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Semi-qualitative probabilistic networks (SQPNs) merge two important graphical model formalisms: Bayesian networks and qualitative probabilistic networks. They provide a very general modeling framework by allowing the combination of numeric and qualitative assessments over a discrete domain, and can be compactly encoded by exploiting the same factorization of joint probability distributions that are behind the Bayesian networks. This paper explores the computational complexity of semi-qualitative probabilistic networks, and takes the polytree-shaped networks as its main target. We show that the inference problem is coNP-Complete for binary polytrees with multiple observed nodes. We also show that inferences can be performed in linear time if there is a single observed node, which is a relevant practical case. Because our proof is constructive, we obtain an efficient linear time algorithm for SQPNs under such assumptions. To the best of our knowledge, this is the first exact polynomial-time algorithm for SQPNs. Together these results provide a clear picture of the inferential complexity in polytree-shaped SQPNs.
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This paper explores the application of semi-qualitative probabilistic networks (SQPNs) that combine numeric and qualitative information to computer vision problems. Our version of SQPN allows qualitative influences and imprecise probability measures using intervals. We describe an Imprecise Dirichlet model for parameter learning and an iterative algorithm for evaluating posterior probabilities, maximum a posteriori and most probable explanations. Experiments on facial expression recognition and image segmentation problems are performed using real data.
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This paper investigates a representation language with flexibility inspired by probabilistic logic and compactness inspired by relational Bayesian networks. The goal is to handle propositional and first-order constructs together with precise, imprecise, indeterminate and qualitative probabilistic assessments. The paper shows how this can be achieved through the theory of credal networks. New exact and approximate inference algorithms based on multilinear programming and iterated/loopy propagation of interval probabilities are presented; their superior performance, compared to existing ones, is shown empirically.
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This paper explores semi-qualitative probabilistic networks (SQPNs) that combine numeric and qualitative information. We first show that exact inferences with SQPNs are NPPP-Complete. We then show that existing qualitative relations in SQPNs (plus probabilistic logic and imprecise assessments) can be dealt effectively through multilinear programming. We then discuss learning: we consider a maximum likelihood method that generates point estimates given a SQPN and empirical data, and we describe a Bayesian-minded method that employs the Imprecise Dirichlet Model to generate set-valued estimates.