1,720,992 research outputs found

    Pharmacogenetics in future medical care - Implications for patients and physicians

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    Purpose: Since public acceptance of pharmacogenetic testing will largely influence their implementation in routine medical care, common implications of pharmacogenetic testing from patients', physicians' and scientists' perspective are reviewed. Methods: Broad literature review (MEDLINE; MeSH terms: Pharmacogenetics, Delivery of Health Care, Ethics, Attitude, Patient Acceptance of Health Care) of empirical and theoretical studies describing psychological, family-related, social, and ethical consequences of pharmacogenetic testing to describe. relevant aspects for further empirical studies. Results: Apart from anticipated benefit, acceptance of pharmacogenetic testing might be influenced by the following: Expectation of negative psychosocial consequences, fear of discrimination or violation of privacy. Due to its great complexity, understanding of test results and explanation of their impact pose new challenges for physician-patient relations. Since most studies are conceptual, empirical studies exploring attitudes of patients/physicians and determining medical as well as economic value of pharmacogenetic testing are imperative

    Patients' and physicians' perspectives on pharmacogenetic testing

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    Introduction: The integration of pharmacogenetic testing into routine care will, in part, depend upon the patients' and physicians' acceptance of these tests. Empirical data regarding patients' and physicians' views on pharmacogenetic testing are lacking. Objectives: To explore patients' and physicians' perspectives on the potential implications of pharmacogenetic testing, particularly focusing on asthma, and to analyze the possible determinants of their expectations, hopes and fears. Methods: We conducted telephone interviews with patients with asthma or chronic obstructive pulmonary disease taking part in a larger pharmacogenetic study, in addition to general practitioners (GPs) from a different region in Germany. A total of 328 patients and 378 GPs were invited to participate. Determinants of their attitudes toward pharmacogenetic testing were assessed using logistic regression analysis. Results: Informed consent to participate in this study was given by 196 patients (60%) and 106 GPs (28%). Most patients (96%) and physicians (52%) appreciated the availability of pharmacogenetic tests for a disease such as asthma. Approximately a third of the patients worried about potential unfavorable test results (35%) and violation of privacy (36%). Female patients were more likely to have a fearful attitude (odds ratio [OR]=2.85; 95% confidence interval [CI]=1.58-5.12). Younger patients were generally more likely to be hopeful about the usefulness of pharmacogenetic testing (OR=2.12; CI=1.01-4.46). The GPs' concerns were mainly related to the possibility that patients might either be put under pressure to be tested (72%) or be disadvantaged at private health insurance agencies (61%). The nature of the responsible institution, the clarity of the research aim and explicit informed consent from patients influenced a physicians' decision regarding whether to support a pharmacogenetic study. Conclusion: The concerns of patients and GPs differ somewhat with respect to negative psychosocial consequences, discrimination or violation of privacy. Development of information for physicians and patients would be helpful in preventing unrealistic fears or hopes

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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