Background: Although many individuals return to work after cancer treatment, supports to facilitate this transition are ineffective or lacking. Transitions Theory can be useful to conceptually explain the transition back to work after cancer; however, no known studies have used Transitions Theory to empirically examine this transition.
Objective: To explore how and why Transition Theory concepts can be used to understand individuals' transition back to work after cancer treatment.
Methods: Using an explanatory sequential mixed-methods design, breast or colorectal cancer survivors who had returned to work completed questionnaires aligned with Transitions Theory concepts. Spearman correlations were used to explore associations, and significant results were used to draft interview questions. One-to-one telephone interviews with a subsample of participants provided elaborations to quantitative results. Qualitative data were analyzed using template analysis.
Results: Among the 23 participants who returned questionnaires, most identified as female (n = 21 [91%]) and had been back at work for 28.9 months (range, 3-60). The sample's productivity loss was 7.42%, indicating an incomplete mastery of their return to work. Only 2 significant associations were revealed with higher productivity loss: higher anxiety (r = 0.487, P = .019) and a greater number of unmet relational needs (r = 0.416, P = .048). Twelve participants engaged in interviews wherein explanations for quantitative results were uncovered.
Conclusions: To support a smoother transition back to work after cancer, assessment and interventions should focus on individuals' psychological well-being and relationship needs.
Implications For Practice: Transitions Theory can be useful in developing interventions to support a successful return to work after cancer.
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http://dx.doi.org/10.1097/NCC.0000000000001449 | DOI Listing |
Arch Environ Occup Health
January 2025
Department of Rehabilitation and Health Services, University of North Texas, Denton, TX, USA.
Occupational exposures comprise of a broad range of factors in constant and direct contact with the ocular surface. Cataract, a leading cause of visual impairment globally, has been associated with various occupational exposures. This review critically examines existing literature on the relationship between occupational exposures and cataract development.
View Article and Find Full Text PDFInt J Cardiol Heart Vasc
February 2025
Department of Radiology, Frimley Park Hospital NHS Foundation Trust, Camberley, Surrey, UK.
Background: The National Lung Screening Trial (NLST) has shown that screening with low dose CT in high-risk population was associated with reduction in lung cancer mortality. These patients are also at high risk of coronary artery disease, and we used deep learning model to automatically detect, quantify and perform risk categorisation of coronary artery calcification score (CACS) from non-ECG gated Chest CT scans.
Materials And Methods: Automated calcium quantification was performed using a neural network based on Mask regions with convolutional neural networks (R-CNN) for multiorgan segmentation.
Gynecol Oncol Rep
February 2025
People's Hospital of China Medical University, Department of Gynecology, People's Hospital of Liaoning Province, Shenyang, China.
Background: Keratoacanthoma is a relatively rare skin tumor, with vulvar keratoacanthoma being even more uncommon. Although the majority of keratoacanthomas exhibit a benign course, a subset of cases may show features of malignant potential, such as marginal invasion and recurrence.
Case: An 82-year-old female presented with a rapidly growing exophytic lesion on the left vulva, measuring 1.
Comput Struct Biotechnol J
December 2024
Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai 200031, China.
Persistent infection with high-risk human papillomavirus (hrHPV) is a major cause of cervical cancer. The effectiveness of current HPV-DNA testing, which is crucial for early detection, is limited in several aspects, including low sensitivity, accuracy issues, and the inability to perform comprehensive hrHPV typing. To address these limitations, we introduce MTIOT (Multiple subTypes In One Time), a novel detection method that utilizes machine learning with a new multichannel integration scheme to enhance HPV-DNA analysis.
View Article and Find Full Text PDFJTO Clin Res Rep
January 2025
Institut Curie, Institut du Thorax, Paris, France.
Introduction: Pralsetinib is a RET inhibitor found to have antitumor activity in advanced, metastatic, fusion-positive NSCLC.
Objective: To assess real-world efficacy of pralsetinib and treatment sequences in patients with RET fusion-positive NSCLC.
Design: Retrospective study of consecutive patients enrolled in the French expanded-access program for pralsetinib from December 1, 2019, to December 31, 2021.
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