ArticleBMC medical informatics and decision making2013
Against conventional wisdom: when the public, the media, and medical practice collide.
Article in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Confusion and nutritional backlash from news media exposure to contradictory information about carbohydrates and dietary fats.Public health nutrition · 2019Trial
- Communicating scientific uncertainty in the early stages of the COVID-19 pandemic: A message experiment.Risk analysis : an official publication of the Society for Risk Analysis · 2024Article
- Effects of Exposure to Conflicting Information About Mammography on Cancer Information Overload, Perceived Scientists' Credibility, and Perceived Journalists' Credibility.Health communication · 2023Article
- Uncertainty in healthcare and health decision making: Five methodological and conceptual research recommendations from an interdisciplinary team.Journal of behavioral medicine · 2023Review
- The pandemic effect: The outlook of lung transplantation.Respiratory medicine and research · 2023Article
- Trust in national health information sources in the United States: comparing predictors and levels of trust across three health domains.Translational behavioral medicine · 2020Article
- Developing a Mass Media Campaign to Promote Mammography Awareness in African American Women in the Nation's Capital.Journal of community health · 2018Article
- Contrasting academic and lay press print coverage of the 2013-2016 Ebola Virus Disease outbreak.PloS one · 2017Article
- Article
- Communicating Uncertain Science to the Public: How Amount and Source of Uncertainty Impact Fatalism, Backlash, and Overload.Risk analysis : an official publication of the Society for Risk Analysis · 2017Article
- Knowledge of and Attitudes Toward Evidence-Based Guidelines for and Against Clinical Preventive Services: Results from a National Survey.The Milbank quarterly · 2016Article
- Does a decision aid improve informed choice in mammography screening? Study protocol for a randomized controlled trial.BMC women's health · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundIn 2009, the U.S. Preventive Services Task Force released new mammography screening guidelines that sparked a torrent of criticism. The subsequent conflict was significant and pitted the Task Force against other health organizations, advocacy groups, the media, and the public at large. We argue that this controversy was driven by the systematic removal of uncertainty from science communication. To increase comprehension and adherence, health information communicators remove caveats, limitations, and hedging so science appears simple and more certain. This streamlining process is, in many instances, initiated by researchers as they engage in dissemination of their findings, and it is facilitated by public relations professionals, journalists, public health practitioners, and others whose tasks involve using the results from research for specific purposes. ANALYSIS: Uncertainty is removed from public communication because many communicators believe that it is difficult for people to process and/or that it is something the audience wants to avoid. Uncertainty management theory posits that people can find meaning and value in uncertainty. We define key terms relevant to uncertainty management, describe research on the processing of uncertainty, identify directions for future research, and offer recommendations for scientists, practitioners, and media professionals confronted with uncertain findings.
conclusionsScience is routinely simplified as it is prepared for public consumption. In line with the model of information overload, this practice may increase short-term adherence to recommendations at the expense of long-term message consistency and trust in science.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.