Background: With the emergence of many novel therapies, the treatment decisions for multiple myeloma (MM) are increasingly guided by concerns of quality of life, achievement of cancer-free remission, living a longer overall survival, and a relentless search for a cure; however, the impact of various decision-making factors on patients' actual therapy choices and the patients' desire for cure and survival is mainly unknown. The lack of a valid and reliable measure for uncovering patients' preferences for cure and survival makes it more challenging to put this factor into the actual treatment decision equation.
Purpose: This study examined the psychometric properties of the Values and Preferences Elicitation Questionnaire-Cure and Survival Preference Scale (VPEQ-CSPS) instrument.
Methods: The VPEQ-CSPS instrument was deployed using an anonymous Qualtrics online survey to patients diagnosed with MM within the network of International Myeloma Foundation online patient support groups across the United States. One hundred seventy-four (N = 174) valid responses were obtained and used to examine the validity and reliability of the VPEQ-CSPS.
Results: Exploratory factor analysis (EFA) revealed a Kaiser-Meyer-Olkin value of 0.72 indicating excellent sample adequacy. A statistically significant Bartlett's test of sphericity (P < .001) indicated significant correlations among the variables of the dataset to conduct the EFA. The internal consistency coefficients indicated adequate reliability of the instrument with Cronbach's alpha value at 0.80. The EFA and parallel analysis revealed the 5-item VPEQ-CSPS as a valid and reliable unidimensional scale that can be used by oncology clinicians to elicit their patient's preferences for cure and survival. This new instrument has the potential to contribute to the achievement of shared decision-making for myeloma treatment decisions.
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http://dx.doi.org/10.1016/j.clml.2023.11.007 | DOI Listing |
Curr Med Chem
January 2025
Department of Biochemistry, J.N. Medical College, Faculty of Medicine, Aligarh Muslim University, Aligarh, India.
Ovarian cancer (OC) ranks as the fifth leading cause of cancer-related deaths in the United States, posing a significant threat to female health. Late-stage diagnoses, driven by elusive symptoms often masquerading as gastrointestinal issues, contribute to a concerning 70% of cases being identified in advanced stages. While early-stage OC brags a 90% cure rate, progression involving pelvic organs or extending beyond the peritoneal cavity drastically diminishes it.
View Article and Find Full Text PDFNarra J
December 2024
Faculty of Medicine, Universitas Sam Ratulangi, Manado, Indonesia.
Hepatocellular carcinoma (HCC) ranks among the most prevalent and fatal liver cancers globally. Liver surgery, particularly resection, offers the potential for cure but poses challenges, especially in Indonesia, where patients often present in advanced stages. This study aimed to determine the intraoperative and perioperative factors associated with 30- day mortality of HCC patients undergoing liver resection at a tertiary referral hospital.
View Article and Find Full Text PDFClin Infect Dis
January 2025
Aix Marseille Univ, Inserm, IRD, SESSTIM, Sciences Economiques & Sociales de la Santé & Traitement de l'Information Médicale, ISSPAM, Marseille.
Heliyon
January 2025
Department of Otolaryngology Head and Neck Surgery, the Second People's Hospital of Shenzhen, the First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong Province, 518035, China.
Background: Despite advancements in medical science, the 5-year survival rate for laryngeal squamous cell carcinoma remains low, posing significant challenges in clinical management. This study explores the evolution of key topics and trends in laryngeal cancer research. Bibliometric and knowledge graph analysis are utilized to assess contributions in treating this carcinoma and to forecast emerging research hotspots that may enhance future clinical outcomes.
View Article and Find Full Text PDFJ Appl Stat
May 2024
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil.
Survival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constant over time. However, in several randomized clinical trials with long-term survival data comparing two new treatments, it is frequently observed that Kaplan-Meier plots exhibit crossing survival curves.
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