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Introduction: Clinical decision-making in oncology is a complex process, with the primary goal of identifying the most effective treatment tailored to individual cancer patients. Many factors influence the treatment decision: disease- and patient-specific criteria, the increasingly complex treatment landscape, market authorization and drug availability, financial aspects, and personal treatment expertise. In the domain of genitourinary cancers, particularly prostate cancer, decision-making is challenging. Despite the prevalence of this malignancy, there are few in-depth explorations of these factors within real-world scenarios. Understanding and refining this intricate decision-making process is essential for future successful clinical decisions and the integration of computerized decision support into clinicians' workflows.
Aim: The objective of this study is to improve the current knowledge base and evidence of the factors that influence treatment decision-making for patients with genitourinary cancers.
Methods: Assessment of how routine treatment decisions are made for genitourinary cancers was performed by a mixed-methods study, encompassing field observations and focus group discussions.
Results: In total, we identified 59 factors that influence clinical decision-making in oncology, specifically for genitourinary and prostate cancer. Of these, 23 criteria can be classified as decision-maker-related criteria encompassing personal, cognitive, and emotional attributes and factors of both, healthcare professionals and patients. Moreover, 20 decision-specific criteria have been identified that refer to clinical and disease-related factors, followed by 16 contextual decision factors that describe the relevant criteria introduced by the specific circumstances and environment in which the treatment decision is made.
Conclusion: By presenting an exhaustive set of decision factors and providing specific examples for genitourinary cancers, this observational study establishes a possible framework for a better understanding of decision-making. Moreover, we specify and expand the set of decision factors, while emphasizing the importance of cognitive, emotional, and human factors, as well as the quality and accessibility of decision-relevant information.
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http://dx.doi.org/10.1002/cam4.70304 | DOI Listing |
JMIR Med Inform
September 2025
Department of Radiology, Air Force Medical Center, Air Force Medical University, Fucheng Road 30, Haidian District, Beijing, CN.
Background: Lateral malleolar avulsion fracture (LMAF) and subfibular ossicle (SFO) are distinct entities that both present as small bone fragments near the lateral malleolus on imaging, yet require different treatment strategies. Clinical and radiological differentiation is challenging, which can impede timely and precise management. On imaging, magnetic resonance imaging (MRI) is the diagnostic gold standard for differentiating LMAF from SFO, whereas radiological differentiation on computed tomography (CT) alone is challenging in routine practice.
View Article and Find Full Text PDFJAMA Netw Open
September 2025
Department of Population Health Sciences, University of Utah School of Medicine, Salt Lake City.
Importance: Advances in diagnostics have enabled the detection of more gastrointestinal pathogens, but misuse of diagnostics can lead to inappropriate antibiotic use and excess financial burdens. Ensuring appropriate use of diagnostics is crucial for optimizing patient care and promoting stewardship of health care resources.
Objective: To elicit parents' and clinicians' perspectives on expectations for care of pediatric diarrhea with a focus on diagnostic testing and to evaluate the potential for an electronic clinical decision support tool (ECDST) to improve appropriate use of diagnostics.
Patient
September 2025
PPD Evidera Patient-Centered Research, Thermo Fisher Scientific, Waltham, MA, USA.
Background: Migraine care is often suboptimal owing to undertreatment, variation in clinical outcomes and administration methods among existing treatments, and between- and within-individual heterogeneity in the clinical course of migraine. In response to these challenges, preference studies have been increasingly conducted to inform treatment decision-making and development. However, gaps remain in understanding how treatment preferences have been assessed across different migraine studies.
View Article and Find Full Text PDFCurr Atheroscler Rep
September 2025
Department of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, 521 19th Street South-GSB 444, Birmingham, AL, 35233, USA.
Purpose Of Review: This review examines cardiovascular disease (CVD) risk prediction models relevant to older adults, a rapidly expanding population with elevated CVD risk. It discusses model characteristics, performance metrics, and clinical implications.
Recent Findings: Some models have been developed specifically for older adults, while several others consider a broader age range, including some older individuals.
Community Ment Health J
September 2025
Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY, 10027, USA.
Guided by the Ottawa Decision Support Framework, we created a depression care decision aid for Latinx and African American individuals with major depressive disorder (MDD) at a network of Federally Qualified Health Centers. We surveyed 94 African American and Latinx individuals with MDD about their decision making needs. Focus groups elaborated on these preferences.
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