Journal of evaluation in clinical practice
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The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) framework has been presented as the best method available for developing clinical recommendations. GRADE has undergone a series of modifications. Here, we present the first part of a three article series examining the evolution of GRADE. Our purpose is to explore if (and if so, how) GRADE provides: (1) a justification (ie, theoretical and/or empirical) for why the criteria/components under consideration in the system are included (and other factors excluded), as well as why some criteria/components where added/modified in the evolution process, (2) clear and functional (ie, how to operationalize them) definitions of the included criteria/components, and (3) instruction and justification for how all the criteria/components are to be integrated when determining a recommendation. In part 1 of the series, we examine the first two versions of GRADE. ⋯ This article revealed an absence of a justification (theoretical and/or empirical) to support important aspects of the GRADE framework, as well as a lack of clear instruction on how to operationalize the criteria and components in the framework. These issues limit one's ability to scientifically assess the appropriateness of GRADE for determining clinical recommendations.
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As a clinician, I can easily agree with the author that a person's own reality of being healthy is independent of physical evidence or clinical categories and that this perspective should be considered to improve clinical care. However, I cannot follow the assumptions about the nature and working of modern medicine and psychiatry as typically using "black box" and one-size-fits-all treatments in daily practice. I outline several working contexts of doctors where this criticism does only marginally apply or not at all and wonder whether the author might wish, if possible at all from a philosophical viewpoint, to differentiate her concepts with regard to these different contexts. In addition, I think that ill health in the field of psychiatry might have to be dealt with differently than physical ill health.
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Health technology assessment (HTA) is an evaluation of health technologies in terms of facts and evidence. However, the relationship between facts and values is still not clear in HTA. This is problematic in an era of "fake facts" and "truth production." Accordingly, the objective of this study is to clarify the relationship between facts and values in HTA. ⋯ We maintain that philosophy (in particular ethics) may have an important role in addressing the relationship between facts and values in HTA. Philosophy may help us to avoid fallacies of inferring values from facts; to disentangle the normative assumptions in the production or presentation of facts and to tease out implicit value judgements in HTA; to analyse evaluative argumentation relating to facts about technologies; to address conceptual issues of normative importance; and to promote reflection on HTA's own value system. In this we argue for a(n Aristotelian) middle way between the traditional positivist account of "evaluating facts" and the social-constructivist account of "facting values," which we call "factuation." We conclude that HTA is unique in bringing together facts and values and that being conscious and explicit about this "factuation" is key to making HTA valuable to both individual decision makers and society as a whole.
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The role of mechanistic evidence tends to be under-appreciated in current evidence-based medicine (EBM), which focusses on clinical studies, tending to restrict attention to randomized controlled studies (RCTs) when they are available. The EBM+ programme seeks to redress this imbalance, by suggesting methods for evaluating mechanistic studies alongside clinical studies. ⋯ Nevertheless, we argue that mechanistic evidence is central to all the key tasks in the drug approval process: in drug discovery and development; assessing pharmaceutical quality; devising dosage regimens; assessing efficacy, harms, external validity, and cost-effectiveness; evaluating adherence; and extending product licences. We recommend that, when preparing for meetings in which any aspect of drug approval is to be discussed, mechanistic evidence should be systematically analysed and presented to the committee members alongside analyses of clinical studies.
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The GRADE framework has been widely adopted as the preferred method for developing clinical practice recommendations. In the first article of our three part series examining the evolution of GRADE, we showed an absence (in the first two versions of GRADE) of a theoretical basis and/or empirical data to support why the presented criteria for determining the quality of evidence regarding the effect estimate and the components under consideration for determining the strength of the recommendation were included and other criteria/components excluded. Furthermore, often, it was not clear how to operationalize the included criteria/components (and integrate them) when using the framework. In part 2 of this series, we examine if version 3 of GRADE offered improvements on previous versions with respect to a justification scheme and how to operationalize the framework's criteria/components. ⋯ While version 3 reveals acknowledgement by the authors of GRADE that the framework is a work in progress, it still lacks a justification scheme (theoretical and/or empirical) to sustain it and clarity in its criteria/components to operationalize it. As was suggested in part 1, such issues limit one's ability to scientifically assess the appropriateness of GRADE for its stated purpose.