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The Impact of Stay-At-Home Mandates on Uncertainty and Sentiments: Quasi-Experimental Study

The Impact of Stay-At-Home Mandates on Uncertainty and Sentiments: Quasi-Experimental Study

The fourth dimension, which we refer to as policy for simplicity, captures the uncertainty and negative sentiments associated with the behavioral guidelines of the restrictions. This distinction allows us to determine whether uncertainty and negative sentiments arise from concerns about the authorities implementing the policy (political uncertainty) or from confusion regarding the policy’s specifics (uncertainty around lockdown policies).

Carolina Biliotti, Nicolò Fraccaroli, Michelangelo Puliga, Falco J Bargagli-Stoffi, Massimo Riccaboni

J Med Internet Res 2025;27:e64667

The Potential of Artificial Intelligence Tools for Reducing Uncertainty in Medicine and Directions for Medical Education

The Potential of Artificial Intelligence Tools for Reducing Uncertainty in Medicine and Directions for Medical Education

While teaching physicians to tolerate uncertainty is important, there is also a need to overcome problems in medicine that contribute to uncertainty in the physician’s mind. Several models of uncertainty have been proposed, but for the ease of our discussion, the distinction between reducible and irreducible uncertainty is most relevant.

Sauliha Rabia Alli, Soaad Qahhār Hossain, Sunit Das, Ross Upshur

JMIR Med Educ 2024;10:e51446

Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study

Descriptions of Scientific Evidence and Uncertainty of Unproven COVID-19 Therapies in US News: Content Analysis Study

This, however, results in multiple challenges in accurately reporting science to the public including science hype [35]; errors of omission [36]; failure to report funding sources and conflicts of interest [37]; inadequately detailing methods, risks, and timelines [38-40]; improperly addressing scientific uncertainty; and situating science in particular contexts, for example, politics. There is variability in the portrayal of scientific evidence and uncertainty in the news media.

Sara Watson, Tyler J Benning, Alessandro R Marcon, Xuan Zhu, Timothy Caulfield, Richard R Sharp, Zubin Master

JMIR Infodemiology 2024;4:e51328

An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

An Environmental Uncertainty Perception Framework for Misinformation Detection and Spread Prediction in the COVID-19 Pandemic: Artificial Intelligence Approach

Although many studies have identified “uncertainty” as a central aspect of misinformation, they have not thoroughly elucidated how uncertainty, as a crucial feature of the information environment, can aid in the detection of misinformation and the prediction of its spread. The literature frequently treats uncertainty as a static and holistic feature of a situation. However, the level of uncertainty within a situation can be dynamic, evolving as the situation progresses.

Jiahui Lu, Huibin Zhang, Yi Xiao, Yingyu Wang

JMIR AI 2024;3:e47240

Quantifying Health Policy Uncertainty in China Using Newspapers: Text Mining Study

Quantifying Health Policy Uncertainty in China Using Newspapers: Text Mining Study

Frequent launches of new health policies also lead organizations to worry due to the uncertainty of the expected environment. There are no studies that provide a clear definition of “health policy uncertainty” (HPU). Based on the definition of economic policy uncertainty (EPU) [1], we define HPU as the inability of health care providers to predict exactly whether, when, and how the government will change existing health policies.

Chen Chen, Junli Zhu

J Med Internet Res 2023;25:e46589

Harnessing the Electronic Health Care Record to Optimize Patient Safety in Primary Care: Framework for Evaluating e–Safety-Netting Tools

Harnessing the Electronic Health Care Record to Optimize Patient Safety in Primary Care: Framework for Evaluating e–Safety-Netting Tools

Safety-netting was first formally defined in the mid-1980s by Neighbour [1] and has since come to be viewed as a best practice for managing diagnostic uncertainty [2]. This is particularly relevant to primary care, wherein clinicians hold responsibility for weighing up the costs, risks, and benefits of monitoring symptoms against those of ordering tests, investigations, and referrals for further care.

Georgia Bell Black, Afsana Bhuiya, Claire Friedemann Smith, Yasemin Hirst, Brian David Nicholson

JMIR Med Inform 2022;10(8):e35726

The Impact of the COVID-19 Infodemic on Depression and Sleep Disorders: Focusing on Uncertainty Reduction Strategies and Level of Interpretation Theory

The Impact of the COVID-19 Infodemic on Depression and Sleep Disorders: Focusing on Uncertainty Reduction Strategies and Level of Interpretation Theory

Furthermore, the information contagion has a complex association with negative feelings; however, individual differences such as frequent social media usage and the uncertainty reduction strategy (URS) have not been considered. How social media usage behavior and excess information regarding COVID-19 impact the users’ mental problems, including their URS (also known as their “information-seeking strategy”), still needs to be further examined.

Soyoung Jung, Sooin Jung

JMIR Form Res 2022;6(1):e32552

A Social Media Organizational Productivity Model: Insights From Public Health Professionals

A Social Media Organizational Productivity Model: Insights From Public Health Professionals

The 3 common methods of isomorphism identified by Di Maggio and Powell are coercive isomorphism (firms are either compelled to adhere to rules or adopt to structures), normative isomorphism (firms adopt forms as professionals within the firm who claim their superiority over others), and mimetic isomorphism (one firm copies another firm, often because of uncertainty).

Hamad Ghaleb Dailah Sr, Muhammad Naeem

J Med Internet Res 2021;23(5):e23792

Communicating Scientific Uncertainty About the COVID-19 Pandemic: Online Experimental Study of an Uncertainty-Normalizing Strategy

Communicating Scientific Uncertainty About the COVID-19 Pandemic: Online Experimental Study of an Uncertainty-Normalizing Strategy

Supplementing this basic information with additional language resulted in a total of five alternative uncertainty communication strategies, which constituted separate experimental conditions to which participants were randomly assigned: (1) control, (2) uncertainty, (3) uncertainty + uncertainty-normalizing, (4) uncertainty + hope-promoting, and (5) uncertainty + prosocial.

Paul K J Han, Elizabeth Scharnetzki, Aaron M Scherer, Alistair Thorpe, Christine Lary, Leo B Waterston, Angela Fagerlin, Nathan F Dieckmann

J Med Internet Res 2021;23(4):e27832