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Clinical practice guidelines were initially developed within the context of evidence-based medicine with the goal of putting medical research findings into practice. However, physicians do not always follow them, even when they seem to apply to the particular patient they have to treat. This phenomenon, known as clinical inertia,represents a significant obstacle to the efficiency of care and a major public health problem, the extent of which is demonstrated in this book.An analysis of its causes shows that it stems from a discrepancy between the objective, essentially statistical nature of evidence-based medicine on the one hand and the physician's own complex, subjective view (referred to here as 'medical reason') on the other. This book proposes a critique of medical reason that may help to reconcile the principles of evidence-based medicine and individual practice.The author is a diabetologist and Professor of Endocrinology, Diabetology and Metabolic Diseases at Paris 13 University. He has authored several books, including one to be published by Springer (Philosophy and Medicine series) under the title: The Mental Mechanisms of Patient Adherence to Long Term Therapies, Mind and Care., Diabetology and Metabolic Diseases at the Paris 13-University. He has also published Pourquoi Se soigne-t-on, Enquête sur la rationalité morale de l'observance(2007), Clinique de l'Observance, L'Exemple des diabètes(2006), and Une théorie du soin, Souci et amour face à la maladie (2010). An English adaptation of the first book is published by Springer (Philosophy and Medicine) under the title: The Mental Mechanisms of Patient Adherence to Long Term Therapies, Mind and Care. The author is a diabetologist and Professor of Endocrinology, Diabetology and Metabolic Diseases at the Paris 13-University. He has also published Pourquoi Se soigne-t-on, Enquête sur la rationalité morale de l'observance(2007), Clinique de l'Observance, L'Exemple des diabètes(2006), and Une théorie du soin, Souci et amour face à la maladie (2010). An English adaptation of the first book is published by Springer (Philosophy and Medicine) under the title: The Mental Mechanisms of Patient Adherence to Long Term Therapies, Mind and Care.

The Coalition for Clinical Research—Self-Monitoring of Blood Glucose Scientific Board, a group of nine academic clinicians and scientists from the United States and Europe, convened in San Francisco, California, on June 11–12, 2008, to discuss the appropriate uses of self-monitoring of blood glucose (SMBG) and the measures necessary to accurately assess the potential benefit of this practice in noninsulin-treated type 2 diabetes mellitus (T2DM). Thirteen consultants from the United States, Europe, and Canada from academia, practice, and government also participated and contributed based on their fields of expertise. These experts represent a range of disciplines that include adult endocrinology, pediatric endocrinology, health education, mathematics, statistics, psychology, nutrition, exercise physiology, and nursing. This coalition was organized by Diabetes Technology Management, Inc. Among the participants, there was consensus that: protocols assessing the performance of SMBG in noninsulin treated T2DM must provide the SMBG intervention subjects with blood glucose (BG) goals and instructions on how to respond to BG data in randomized controlled trials (RCTs);intervention subjects in clinical trials of SMBG-driven interventions must aggressively titrate their therapeutic responses or lifestyle changes in response to hyperglycemia;control subjects in clinical trials of SMBG must be isolated from SMBG-driven interventions and not be contaminated by physician experience with study subjects receiving a SMBG intervention;the best endpoints to measure in a clinical trial of SMBG in T2DM include delta Hemoglobin A1c levels, hyperglycemic events, hypoglycemic events, time to titrate noninsulin therapy to a maximum necessary dosage, and quality of life indices;either individual randomization or cluster randomization may be appropriate methods for separating control subjects from SMBG intervention subjects, provided that precautions are taken to avoid bias and that the sample size is adequate;treatment algorithms for ...