Open Access
Helping doctors and patients make sense of health statistics: towards an evidence-based society
Reads0
Chats0
TLDR
Evidence is provided that statistical illiteracy is common to patients, journalists, and physicians and that information pamphlets, Web sites, leaflets distributed by the pharmaceutical industry, and even medical journals often report evidence in nontransparent forms that suggest big benefits of featured interventions and small harms.About:
The article was published on 2010-01-01 and is currently open access. It has received 822 citations till now. The article focuses on the topics: Evidence-based practice.read more
Citations
More filters
Journal ArticleDOI
Evidence based medicine: a movement in crisis?
TL;DR: A preliminary agenda for the evidence based medicine movement’s renaissance is offered, refocusing on providing useable evidence that can be combined with context and professional expertise so that individual patients get optimal treatment.
Journal ArticleDOI
How numeracy influences risk comprehension and medical decision making.
TL;DR: Four theoretical approaches (psychophysical, computational, standard dual-process, and fuzzy trace theory) are outlined, their implications for numeracy are reviewed, and avenues for future research are pointed to.
Journal ArticleDOI
A catalogue of reporting guidelines for health research.
TL;DR: The EQUATOR Network as mentioned in this paper is an international initiative that aims to enhance the reliability and value of the published health research literature by providing resources, education and training to facilitate good research reporting and assists in the development, dissemination and implementation of robust reporting guidelines.
Posted Content
Measuring risk literacy: The Berlin numeracy test
TL;DR: The Berlin Numeracy Test as discussed by the authors is a psychometrically sound instrument that quickly assesses statistical numeracy and risk literacy and has been shown to be the strongest predictor of comprehension of everyday risks (e.g., evaluating claims about products and treatments; interpreting forecasts).
Journal ArticleDOI
Visualizing Uncertainty About the Future
TL;DR: This review of current practice for communicating uncertainties visually, using examples drawn from sport, weather, climate, health, economics, and politics, shows how the effectiveness of some graphics clearly depends on the relative numeracy of an audience.
References
More filters
Book
Judgment Under Uncertainty: Heuristics and Biases
Amos Tversky,Daniel Kahneman +1 more
TL;DR: The authors described three heuristics that are employed in making judgements under uncertainty: representativeness, availability of instances or scenarios, and adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available.
Journal ArticleDOI
Subjective Probability: A Judgment of Representativeness
Daniel Kahneman,Amos Tversky +1 more
TL;DR: In this paper, the subjective probability of an event, or a sample, is determined by the degree to which it is similar in essential characteristics to its parent population and reflects the salient features of the process by which it was generated.
Journal ArticleDOI
Shared decision-making in the medical encounter: What does it mean? (or it takes at least two to tango)
TL;DR: This paper attempts to provide greater conceptual clarity about shared treatment decision-making, identify some key characteristics of this model, and discuss measurement issues.
Journal ArticleDOI
The New York Review of Books
TL;DR: The New York Review ofBooks as mentioned in this paper is now over twenty years old and it has attracted controversy since its inception, but it is the controversies that attract the interest of the reader and to which the history, especially an admittedly impressionistic survey, must give some attention.
Journal ArticleDOI
The Child's Understanding of Number
TL;DR: In this paper, the authors focus on the Preschooler and the development of the how-to-count principles, including the counting model, the counting concept, and the Abstraction and Order-Irrelevance Counting Principles.