Patients with colorectal cancer (CRC) face a number of challenges leading up to diagnosis; however, research is limited regarding their specific needs during the pre-diagnosis period. A multicenter cross-sectional survey was conducted to elicit information about the CRC experience during the pre-diagnosis phase. Across the three sites, 104 eligible patients were approached, and 82 patients completed the survey, for a total response rate of 78.9%. The needs most identified by participants during the pre-diagnosis period were informational (31.6%) and emotional (20.3%) needs; social needs were rated as the least important need for these patients (7%). The majority (84.0%) reported that these needs were met. Participants reported feeling shocked or overwhelmed on learning of their diagnosis (57.1%) and high levels of anxiety during this time (40.0%). The majority (77.9%) of participants reported that they were not directed to any resources to help address their anxiety. Informational and emotional needs are identified as the most important needs during the pre-diagnosis phase, and for most these needs are being met; however, some participants are experiencing high levels of anxiety without access to appropriate resources. Further work is required to understand the optimal mechanisms to address identified needs during this pre-diagnosis period and to assess the potential benefits and costs of addressing these needs.
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http://dx.doi.org/10.1007/s13187-013-0465-1 | DOI Listing |
J Clin Med
December 2024
Department of Rheumatology, Division of Internal Medicine, Ankara Bilkent City Hospital, Ankara 06800, Turkey.
The integration of artificial intelligence (AI) in medicine has progressed from rule-based systems to advanced models and is showing potential in clinical decision-making. In this study, the psychological impact of AI collaboration in clinical practice is assessed, highlighting its role as a support tool for medical residents. This study aimed to compare clinical decision-making approaches of junior rheumatology residents with both trained and untrained AI models in clinical reasoning, pre-diagnosis, first-line, and second-line management stages.
View Article and Find Full Text PDFClinicoecon Outcomes Res
December 2024
College of Pharmacy, Department of Pharmacotherapy, University of North Texas Health Science Center, Fort Worth, TX, USA.
Objective: To evaluate chronic conditions as leading predictors of economic burden over time among older adults with incident primary Merkel Cell Carcinoma (MCC) using machine learning methods.
Methods: We used a retrospective cohort of older adults (age ≥ 67 years) diagnosed with MCC between 2009 and 2019. For these elderly MCC patients, we derived three phases (pre-diagnosis, during-treatment, and post-treatment) anchored around cancer diagnosis date.
Patient Prefer Adherence
November 2024
Pharmacy Service, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Can Oncol Nurs J
November 2024
School of Nursing, Trinity Western University, Langley, BC; Centre for Advancing Health Outcomes, Vancouver, BC; Sahlgrenska Academy, University of Gothenburg, 40530 Gothenburg, Sweden.
Purpose: The purpose of this qualitative study is to demonstrate the use of patient-reported outcome measure-based journey maps in facilitating clinicians' ability to communicate with patients about their well-being at each phase of their cancer journey.
Methods: Individual semi-structured online and phone interviews were conducted with older adults in British Columbia, Canada. Participants (n = 6) were asked to describe their cancer experiences associated with their well-being score using the Edmonton Symptom Assessment System revised questionnaire throughout their cancer journey (i.
Clin Nutr
December 2024
Laboratory of Behavioral Gastronomy, Centre for Healthy Eating and Food Innovation, Maastricht University Campus Venlo, PO Box 8, 5900 AA, Venlo, the Netherlands.
Background & Aims: Smell and taste changes are frequently reported bothersome treatment symptoms during treatment for childhood cancer and assumed to influence outcomes such as food intake. Since nutritional status of children with cancer is already vulnerable, any detrimental effects on food intake should be prevented. Therefore, understanding the exact relationship between chemosensory changes and dietary intake, eating behavior, and other domains such as health-related quality of life (HRQoL), is important for improving outcomes.
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