Evidence-based medicine in primary care: qualitative study of family physicians

BACKGROUND: The objectives of this study were: a) to examine physician attitudes to and experience of the practice of evidence-based medicine (EBM) in primary care; b) to investigate the influence of patient preferences on clinical decision-making; and c) to explore the role of intuition in family practice. METHOD: Qualitative analysis of semi-structured interviews of 15 family physicians purposively selected from respondents to a national survey on EBM mailed to a random sample of Canadian family physicians. RESULTS: Participants mainly welcomed the promotion of EBM in the primary care setting. A significant number of barriers and limitations to the implementation of EBM were identified. EBM is perceived by some physicians as a devaluation of the 'art of medicine' and a threat to their professional/clinical autonomy. Issues regarding the trustworthiness and credibility of evidence were of great concern, especially with respect to the influence of the pharmaceutical industry. Attempts to become more evidence-based often result in the experience of conflicts. Patient factors exert a powerful influence on clinical decision-making and can serve as trumps to research evidence. A widespread belief that intuition plays a vital role in primary care reinforced views that research evidence must be considered alongside other factors such as patient preferences and the clinical judgement and experience of the physician. DISCUSSION: Primary care physicians are increasingly keen to consider research evidence in clinical decision-making, but there are significant concerns about the current model of EBM. Our findings support the proposed revisions to EBM wherein greater emphasis is placed on clinical expertise and patient preferences, both of which remain powerful influences on physician behaviour

O cuidado de enfermagem como prática empreendedora: oportunidades e possibilidades

OBJETIVOS: Compreender o significado do cuidado de enfermagem como prática social empreendedora. MÉTODOS: Foi baseada na Grounded Theory que, de forma sistemática, criativa e interativa possibilitou o desenvolvimento da teoria: "Vislumbrando o cuidado de enfermagem como prática social empreendedora". Amostra teórica constituiu-se de 35 sujeitos entrevistados, distribuídos em diferentes grupos amostrais. RESULTADOS: O cuidado de enfermagem como prática social empreendedora está associado ao sistema de relações e interações, à capacidade de interagir com os diferentes atores sociais, na capacidade de criar novos canais de comunicação e ações pró-ativas. CONCLUSÃO: A partir do cuidado como prática social empreendedora é possível atuar de forma pró-ativa, inovadora e participativa, sem desconsiderar as contradições sociais emergentes.OBJETIVO: Comprender el significado y desarrollar una teoría sustantiva sobre el cuidado de enfermería como una práctica social emprendedora. METODOS: Se basó en la Grounded Theory que, como un proceso sistemático, creativo e interactivo permitió el desarrollo de la teoría sustantiva: "Vislumbrando el cuidado de enfermería como una práctica social emprendedora". La muestra teórica estuvo constituida por treinta y cinco entrevistados distribuidos en diferentes grupos de muestras. RESULTADOS: El cuidado de enfermería como una práctica social emprendedora se asocia con el sistema de relaciones e interacciones, con la capacidad de interactuar con diferentes actores sociales y, con la capacidad de crear nuevos canales de comunicación y de acciones proactivas. CONCLUSIÓN: A partir del cuidado como una práctica emprendedora es posible actuar de manera proactiva, innovadora y participativa, sin dejar de lado las contradicciones sociales emergentes.OBJECTIVE: To understand the meaning and to develop a substantive theory about nursing care as an enterprising social practice. The METHODS: Was based on the Grounded Theory which, in a systematic, creative and interactive manner allowed the development of the substantive theory: "Realizing the nursing care as an enterprising social practice." The theoretical sample consisted of thirty-five subjects distributed among different groups of samples. RESULTS: The nursing care as an enterprising social practice is associated with the system of relationships and interactions, the ability to interact with different social actors and, the ability to create new channels of communication and proactive actions. CONCLUSION: Considering the care as an enterprising practice is possible to act in a proactive, innovative and participatory way, without neglecting the emerging aspects of social contradictions

Predicting Positive p53 Cancer Rescue Regions Using Most Informative Positive (MIP) Active Learning

Many protein engineering problems involve finding mutations that produce proteins with a particular function. Computational active learning is an attractive approach to discover desired biological activities. Traditional active learning techniques have been optimized to iteratively improve classifier accuracy, not to quickly discover biologically significant results. We report here a novel active learning technique, Most Informative Positive (MIP), which is tailored to biological problems because it seeks novel and informative positive results. MIP active learning differs from traditional active learning methods in two ways: (1) it preferentially seeks Positive (functionally active) examples; and (2) it may be effectively extended to select gene regions suitable for high throughput combinatorial mutagenesis. We applied MIP to discover mutations in the tumor suppressor protein p53 that reactivate mutated p53 found in human cancers. This is an important biomedical goal because p53 mutants have been implicated in half of all human cancers, and restoring active p53 in tumors leads to tumor regression. MIP found Positive (cancer rescue) p53 mutants in silico using 33% fewer experiments than traditional non-MIP active learning, with only a minor decrease in classifier accuracy. Applying MIP to in vivo experimentation yielded immediate Positive results. Ten different p53 mutations found in human cancers were paired in silico with all possible single amino acid rescue mutations, from which MIP was used to select a Positive Region predicted to be enriched for p53 cancer rescue mutants. In vivo assays showed that the predicted Positive Region: (1) had significantly more (p<0.01) new strong cancer rescue mutants than control regions (Negative, and non-MIP active learning); (2) had slightly more new strong cancer rescue mutants than an Expert region selected for purely biological considerations; and (3) rescued for the first time the previously unrescuable p53 cancer mutant P152L