Uncertainty is a central characteristic of many aspects of cancer prevention, screening, diagnosis, and treatment. Brashers's (2001) uncertainty management theory details the multifaceted nature of uncertainty and describes situations in which uncertainty can both positively and negatively affect health outcomes. The current study extends theory on uncertainty management by developing four scale measures of uncertainty preferences in the context of cancer. Two national surveys were conducted to validate the scales and assess convergent and concurrent validity. Results support the factor structure of each measure and provide general support across multiple validity assessments. These scales can advance research on uncertainty and cancer communication by providing researchers with measures that address multiple aspects of uncertainty management.
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http://dx.doi.org/10.1080/10810730.2016.1184357 | DOI Listing |
J Eval Clin Pract
February 2025
College of Medicine, University of Central Florida, Orlando, Florida, USA.
Aims And Objectives: Approximately 50% of Americans report having low health insurance literacy, leading to uncertainty when choosing their insurance coverage to best meet their healthcare needs. Therefore, we aimed to evaluate the association between lack of prescription drug benefit knowledge and problems paying medical bills among Medicare beneficiaries.
Methods: We analysed the 2021 Medicare Current Beneficiary Survey Public Use File of 5586 Medicare beneficiaries aged ≥ 65 years.
Sci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
The randomness and volatility of existing clean energy sources have increased the complexity of grid scheduling. To address this issue, this work proposes an artificial intelligence (AI) empowered method based on the Environmental, Social, and Governance (ESG) big data platform, focusing on multi-objective scheduling optimization for clean energy. This work employs a combination of Particle Swarm Optimization (PSO) and Deep Q-Network (DQN) to enhance grid scheduling efficiency and clean energy utilization.
View Article and Find Full Text PDFSci Rep
December 2024
Chongqing Jianzhu College, Chongqing, 400072, China.
Prefabricated construction involves manufacturing components in a factory and then transporting them to a construction site for assembly, yielding resource savings and improved efficiency. However, the large size and weight of prefabricated components, along with strict delivery requirements, introduce logistical challenges, such as increased carbon emissions during transport and site congestion. This study addresses the dual-objective vehicle scheduling problem for prefabricated components.
View Article and Find Full Text PDFAnn Vasc Surg
December 2024
Section of Vascular Surgery, Department of Surgery, Michigan Medicine, Ann Arbor, MI; Jobst Vascular Institute, Toledo, OH.
Objectives: The COVID-19 epidemic introduced significant systems- and disease-based uncertainty into Abdominal Aortic Aneurysm (AAA) rupture management. The goal of this work was to evaluate whether short-term AAA rupture outcomes during COVID-19 were comparable to pre-COVID era outcomes and to explore the impact of COVID status and COVID era healthcare systems restrictions on AAA rupture outcomes.
Methods: The Vascular Quality Initiative (VQI) database was queried for all ruptured AAAs that underwent intervention from January 1, 2019 to August 31, 2022.
Bone Health ECHO (Extension for Community Healthcare Outcomes) is a virtual community of practice, where healthcare professionals have met via videoconferencing weekly since 2015. This model of learning is focused on short didactics and the presentation of real but de-identified patient cases followed by highly interactive discussions. These are often clinical situations with diagnostic and therapeutic dilemmas that are not readily addressed by randomized placebo-controlled clinical trials and clinical practice guidelines.
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