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Barriers and Facilitators of Implementing Colorectal Cancer Screening Management in China: A Mixed-Methods Study.

Cancer Nurs

January 2025

Author Affiliations: Nursing Department (Drs Shi and Zhang and Mss Zhang and Xu) and General Practice Clinic (Mr Cui), The Fourth Affiliated Hospital of Harbin Medical University; and School of Nursing, Harbin Medical University (Dr Sun), Harbin, Heilongjiang, China.

Background: Colorectal cancer is a major cause of cancer-related deaths in China. Timely screening is essential for reducing mortality, but implementing comprehensive programs in Chinese healthcare settings is challenging.

Objective: This study identifies barriers and facilitators to colorectal cancer screening (CRCS) in China and recommends effective implementation strategies.

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Background: "Patient Voices" is a software developed to promote the systematic collection of electronic patient-reported outcome measures (ePROMs) in routine oncology clinical practice.

Objective: This study aimed to assess compliance with and feasibility of the Patient Voices ePROM system and analyze patient-related barriers in an Italian comprehensive cancer center.

Methods: Consecutive patients with cancer attending 3 outpatient clinics and 3 inpatient wards were screened for eligibility (adults, native speakers, and being able to fill in the ePROMs) and enrolled in a quantitative and qualitative multimethod study.

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Background: The use of telemonitoring to manage renal function in patients with chronic kidney disease (CKD) is recommended by health authorities. However, despite these recommendations, the adoption of telemonitoring by both health care professionals and patients faces numerous challenges.

Objective: This study aims to identify barriers and facilitators in the implementation of a telemonitoring program for patients with CKD, as perceived by health care professionals and patients, and to explore factors associated with the adoption of the program.

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ConspectusA key challenge in modern chemistry research is to mimic life-like functions using simple molecular networks and the integration of such networks into the first functional artificial cell. Central to this endeavor is the development of signaling elements that can regulate the cell function in time and space by producing entities of code with specific information to induce downstream activity. Such artificial signaling motifs can emerge in nonequilibrium systems, exhibiting complex dynamic behavior like bistability, multistability, oscillations, and chaos.

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Purpose: Predicting long-term anatomical responses in neovascular age-related macular degeneration (nAMD) patients is critical for patient-specific management. This study validates a generative deep learning (DL) model to predict 12-month posttreatment optical coherence tomography (OCT) images and evaluates the impact of incorporating clinical data on predictive performance.

Methods: A total of 533 eyes from 513 treatment-naïve nAMD patients were analyzed.

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