Centerscope

Centerscope, formerly Scope, was published by the Boston University Medical Center "to communicate the concern of the Medical Center for the development and maintenance of improved health care in contemporary society.

Centerscope

Centerscope, formerly Scope, was published by the Boston University Medical Center "to communicate the concern of the Medical Center for the development and maintenance of improved health care in contemporary society.

Legally Blind: The Therapeutic Illusion in the SUPPORT Study of Extremely Premature Infants

Physician-researchers follow a protocol to generate generalizable knowledge; physicians have a duty to treat patients in ways they and their patients think best. In both activities, research and treatment, physicians often see themselves simply as physicians, practicing medicine. Sick people have similar perception difficulties, and prefer to think of their physician-researcher simply as their physician, even when their treatment is 2 determined by a protocol or the flip of a coin. Almost 20 years ago, in this Journal, one of us suggested that at least some researchers use language to obscure; to blur or eliminate the distinctions between research and therapy, ,3 scientist and physician, and subject and patient. It was suggested that a major reason for the blurring was to lower the standards for obtaining informed consent. To prevent this, it was further suggested that it is necessary to firmly establish that the modem informed consent doctrine applies to both research and treatment.4 In this article we explore the recurrent problem of equating research and treatment, and its recurring (but misinformed) rationale-that in practice, informed consent only applies to research, and not treatment. Historically, misleading and confusing terms such as therapeutic research, experimental treatment, and invalidated treatment have been used to blur the distinction between research and treatment. Similar misleading terms are being deployed in an effort to make evidence-based medicine research (including comparative-effectiveness research) easier to do by dispensing with or watering down disclosure requirements. We agree with the great need to do more research on the safety and efficacy of currently used treatments, but strongly disagree that such research requires abandoning or diluting informed consent, or treating patients simply as passive objects for the valid purpose of improving the quality of care for all. The latest term for conflating research and treatment is standard of care research, and the leading example that illustrates the problems with employing new and confusing terms for research is a study on extremely premature infants, the Surfactant, Positive Pressure, and Pulse Oximetry Randomized Trial (known as the SUPPORT study and described below). 5 The (mistaken) belief that clinical practice on children does not require the informed consent of the parents explains, we think, why this seductive term, standard-of-care research, was invented. It seemed to justify, for example, not informing parents of the risks of death in each of the two possible groups to which their infant would be randomized in the SUPPORT study. Viewing research as treatment is a common mistake patients also make, so common that it has been given a name, the therapeutic misconception, or the therapeutic illusion. 6 We will suggest that in the SUPPORT study the therapeutic illusion was strongest on the part of the researchers, sponsors, Institutional Review Boards ( IRBs ), and institutions, rather than, as is usual, on the part of the patient-subjects

Medical Malpractice Litigation Under National Health Insurance: Essential or Expendable?

Identification of time-continuous models from sampled data is a long standing topic of discussion, and many approaches have been suggested. The Maximum Likelihood method is asymptotically and theoretically superior to other methods. However, it may suffer from numerical inaccuracies at fast sampling and it also requires reliable initial parameter values. A number of efficient and useful alternatives to the maximum-likelihood method have been developed over the years. The most important of these are State-Variable filters, combined with Instrumental Variable methods, including the simplified refined IV method. In this contribution we perform unpretentious numerical experiments to comment on these methods, and their mutual benefits.CADIC