The effectiveness of policymakers' decision-making in times of crisis depends largely on their ability to integrate and make sense of information. The COVID-19 crisis confronts governments with the difficult task of making decisions in the interest of public health and safety. Essentially, policymakers have to react to a threat, of which the extent is unknown, and they are making decisions under time constraints in the midst of immense uncertainty. The stakes are high, the issues involved are complex and require the careful balancing of several interests, including (mental) health, the economy, and human rights. These circumstances render policymakers' decision-making processes vulnerable to errors and biases in the processing of information, thereby increasing the chances of faulty decision-making processes with poor outcomes. Prior research has identified three main information-processing failures that can distort group decision-making processes and can lead to negative outcomes: (1) failure to search for and share information, (2) failure to elaborate on and analyze information that is not in line with earlier information and (3) failure to revise and update conclusions and policies in the light of new information. To date, it has not yet been explored how errors and biases underlying these information-processing failures impact decision-making processes in times of crisis. In this narrative review, we outline how groupthink, a narrow focus on the problem of containing the virus, and escalation of commitment may pose real risks to decision-making processes in handling the COVID-19 crisis and may result in widespread societal damages. Hence, it is vital that policymakers take steps to maximize the quality of the decision-making process and increase the chances of positive outcomes as the crisis goes forward. We propose group reflexivity-a deliberate process of discussing team goals, processes, or outcomes-as an antidote to these biases and errors in decision-making. Specifically, we recommend several evidence-based reflexivity tools that could easily be implemented to counter these information-processing errors and improve decision-making processes in uncertain times.
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http://dx.doi.org/10.3389/fpsyg.2021.650525 | DOI Listing |
Women Health
January 2025
Department of Obstetrics and Gynecology, Division of Perinatology, University of Health Sciences, Turkish Ministry of Health Ankara City Hospital, Ankara, Turkey.
In this study, we investigated the factors that influence families' decision-making processes about whether to carry a pregnancy to term or to terminate it in cases of fetal anomalies. A questionnaire was administered to 25 participants who chose to terminate their pregnancy and 25 participants who chose to carry their pregnancy to term. Among the sociodemographic characteristics investigated, only monthly income significantly differed between the groups ( = .
View Article and Find Full Text PDFExpert Rev Endocrinol Metab
January 2025
Department of OBGYN, Grossman School of Medicine, New York University, NY, USA.
Introduction: Incidence rates for cancer among adolescent and young adults (AYA) have increased 30% since 1970. Declines in mortality underscore the importance of discussing fertility preservation (FP) options prior to receiving gonadotoxic treatments. National guidelines outline FP options including oocyte (OC), embryo (EC), and ovarian tissue cryopreservation (OTC) for female AYA patients.
View Article and Find Full Text PDFClin Trials
January 2025
Central Monitoring and Data Analytics, GSK, Brentford, UK.
Background: Clinical trials handle a huge amount of data which can be used during the trial to improve the ongoing study conduct. It is suggested by regulators to implement the remote approach to evaluate clinical trials by analysing collected data. Central statistical monitoring helps to achieve that by employing quantitative methods, the results of which are a basis for decision-making on quality issues.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
School of Nursing, Peking University, Peking, China.
Objective: With the development of ChatGPT, the number of studies within the nursing field has increased. The sophisticated language capabilities of ChatGPT, coupled with its exceptional precision, offer significant support within the nursing field, which includes clinical nursing, nursing education, and the clinical decision-making process. Preliminary findings suggest positive outcomes, underscoring its potential as a valuable resource for enhancing clinical care.
View Article and Find Full Text PDFFront Med (Lausanne)
December 2024
Dipartimento di Radiodiagnostica e Radioterapia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
2-deoxy-2-[F]-fluoro-D-glucose (2-[F]FDG) positron emission tomography/computed tomography (PET/CT) plays a crucial role in the management of lymphoma in different settings, such as staging disease, assessing response to therapy, predicting prognosis, and planning RT. Beside visual analysis, several semiquantitative parameters were introduced to study lymphoma with promising results. These parameters can represent different disease characteristics, like body composition (such as sarcopenic index), dissemination of disease (Dmax), tumor burden (including metabolic tumor volume) and texture features.
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