Objective: This study explored the experiences and nursing support needs of women undergoing out-patient breast cancer chemotherapy in two teaching hospitals in Southeastern Nigeria.
Methods: Using a qualitative descriptive design, based on grounded theory approach and focus group discussion (FGD) methodology, 20 histological confirmed breast cancer patients at different stages of combination chemotherapy (cyclophosphamide, doxorubicin, and fluorouracil ) were purposively selected and engaged in FGDs at two surgical oncology clinics. Data saturation was reached at the fourth FGD. The audio-taped and transcribed data were content analyzed using thematic approach.
Results: Participants were all christians of the Igbo-speaking ethnic group, and aged between 36 and 66 years. Most were married and had at least primary education. Five themes emerged from the FGDs: inadequate preparation for chemotherapy; chemotherapy scary, distressful, and financially demanding; hope, faith and courage sustained treatment; self-care actions initiated to 'weather the storm'; and nursing assistance desired to foster hope and enhance patients' acceptance of, adjustment and adherence to breast cancer chemotherapy in Nigeria. Culture influenced their chemotherapy perspectives and coping.
Conclusion: Women with breast cancer in southeastern Nigeria desired but were inadequately prepared to cope with chemotherapy distress they experienced. Nurses could help patients to accept and navigate through chemotherapy by initiating and supporting effective and efficient self-care actions that are culturally congruent.Copyright © 2015 John Wiley & Sons, Ltd.
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http://dx.doi.org/10.1002/pon.4034 | DOI Listing |
Pharm Dev Technol
January 2025
Department of Pharmacy, School of Chemistry and Chemical Engineering, Liaoning Normal University, Dalian 116029, China.
In this paper, the pH-sensitive targeting functional material NGR-poly(2-ethyl-2-oxazoline)-cholesteryl methyl carbonate (NGR-PEtOz-CHMC, NPC) modified quercetin (QUE) liposomes (NPC-QUE-L) was constructed. The structure of NPC was confirmed by infrared spectroscopy (IR) and nuclear magnetic resonance hydrogen spectrum (H-NMR). Pharmacokinetic results showed that the accumulation of QUE in plasma of the NPC-QUE-L group was 1.
View Article and Find Full Text PDFJ Med Econ
January 2025
UNESCO-TWAS, The World Academy of Sciences, Trieste, Italy.
Aim: Dynamic cancer control is a current health system priority, yet methods for achieving it are lacking. This study aims to review the application of system dynamics modeling (SDM) on cancer control and evaluate the research quality.
Methods: Articles were searched in PubMed, Web of Science, and Scopus from the inception of the study to November 15th, 2023.
Int J Surg
January 2025
Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China.
Detection of biomarkers of breast cancer incurs additional costs and tissue burden. We propose a deep learning-based algorithm (BBMIL) to predict classical biomarkers, immunotherapy-associated gene signatures, and prognosis-associated subtypes directly from hematoxylin and eosin stained histopathology images. BBMIL showed the best performance among comparative algorithms on the prediction of classical biomarkers, immunotherapy related gene signatures, and subtypes.
View Article and Find Full Text PDFInt J Gen Med
December 2024
Department of Thyroid and Breast Surgery, Quzhou People's Hospital, Quzhou, 324000, People's Republic of China.
Objective: This study aims to demonstrate the impact of sarcopenia on the prognosis of early breast cancer and its role in early multimodal intervention.
Methods: The clinical data of patients (n=285) subjected to chemotherapy for early-stage breast cancer diagnosed pathologically between January 1, 2016, and December 31, 2020, in our hospital were retrospectively analyzed. Accordingly, the recruited subjects were divided into sarcopenia (n=85) and non-sarcopenia (n=200) groups according to CT diagnosis correlating with single-factor and multifactorial logistic regression analyses.
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