Browsing by Subject "Cancer patients"

Now showing 1 - 5 of 5
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    Deep learning based analysis of sentiment dynamics in online cancer community forums: An experience
    (Sage, 2021) Balakrishnan, Athira; Idicula, Sumam Mary; Jones, Josette; Biomedical Engineering and Informatics, Luddy School of Informatics, Computing, and Engineering
    Online health communities (OHC) provide various opportunities for patients with chronic or life-threatening illnesses, especially for cancer patients and survivors. A better understanding of the sentiment dynamics of patients in OHCs can help in the precise formulation of the needs during their treatment. The current study investigated the sentiment dynamics in patients’ narratives in a Breast Cancer community group (Breastcancer.org) to identify the changes in emotions, thoughts, stress, and coping mechanisms while undergoing treatment options, particularly chemotherapy, radiation, and surgery. Sentiment dynamics of users’ posts was performed using a deep learning model. A sentiment change analysis was performed to measure change in the satisfaction level of the users. The deep learning model BiLSTM with sentiment embedding features provided a better F1-score of 91.9%. Sentiment dynamics can assess the difference in satisfaction level the users acquire by interacting with other users in the forum. A comparison of the proposed model with existing models revealed the effectiveness of this methodology.
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    Electronic Cigarette Awareness, Use, and Perceptions among Cancer Patients
    (SAGE Publications, 2018-05-09) Buczek, Erin J.; Harrington, Kathleen F.; Hendricks, Peter S.; Schmalbach, Cecelia E.; Otolaryngology -- Head and Neck Surgery, School of Medicine
    Objective: Electronic cigarettes (e-cigs) are an emerging trend, yet little is known about their use in the cancer population. The objectives of this study were (1) to describe characteristics of e-cig use among cancer patients, (2) to define e-cig advertising exposure, and (3) to characterize perceptions of traditional cigarettes versus e-cigs. Study Design: Cross-sectional study. Setting: Comprehensive cancer center. Subjects and Methods: Inpatient, current smokers with a cancer diagnosis. E-cig exposure and use were defined using descriptive statistics. Wilcoxon rank test was used to compare perceptions between e-cigs and traditional cigarettes. Results: A total of 979 patients were enrolled in the study; 39 cancer patients were identified. Most cancer patients were women (59%), with an average age of 53.3 years. Of the patients, 46.2% reported e-cig use, most of which (88.9%) was "experimental or occasional." The primary reason for e-cig use was to aid smoking cessation (66.7%), alternative use in nonsmoking areas (22.2%), and "less risky" cigarette replacement (5.6%). The most common sources for e-cig information were TV (76.9%), stores (48.7%), friends (35.9%), family (30.8%), and newspapers or magazines (12.8%). Compared with cigarettes, e-cigs were viewed as posing a reduced health risk (P < .001) and conferring a less negative social impression (P < .001). They were also viewed as less likely to satisfy nicotine cravings (P = .002), to relieve boredom (P = .0005), to have a calming effect (P < .001), and as tasting pleasant (P = .006). Conclusions: E-cig use and advertising exposure are common among cancer patients. E-cig use is perceived as healthier and more socially acceptable but less likely to produce a number of desired consequences of cigarette use.
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    Potential Unintended Consequences Of Recent Shared Decision Making Policy Initiatives
    (Project HOPE, 2019-11) Blumenthal-Barby, Jennifer; Opel, Douglas J.; Dickert, Neal W.; Kramer, Daniel B.; Tucker Edmonds, Brownsyne; Ladin, Keren; Peek, Monica E.; Peppercorn, Jeff; Tilburt, Jon; Obstetrics and Gynecology, School of Medicine
    Shared decision making (SDM)-when clinicians and patients make medical decisions together-is moving swiftly from an ethical ideal toward widespread clinical implementation affecting millions of patients through recent policy initiatives. We argue that policy initiatives to promote SDM implementation in clinical practice carry the risk of several unintended negative consequences if limitations in defining and measuring SDM are not addressed. We urge policy makers to include prespecified definitions of desired outcomes, offer guidance on the tools used to measure SDM in the multitude of contexts in which it occurs, evaluate the impact of SDM policy initiatives over time, review that impact at regular intervals, and revise SDM measurement tools as needed.
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    Reply to K. Takada et al
    (American Society of Clinical Oncology, 2021) Sharafeldin, Noha; Bates, Benjamin; Song, Qianqian; Madhira, Vithal; Shao, Yu Raymond; Liu, Feifan; Bergquist, Timothy; Su, Jing; Topaloglu, Umit; Biostatistics, School of Public Health
    See the letter "Reasons to Consider the COVID-19 Vaccination Status of Patients With Cancer When Analyzing Their COVID-19 Outcomes" in volume 39 on page 3996.
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    The current state of acute oncology training for emergency physicians: a narrative review
    (Springer Nature, 2022) Bischof, Jason J.; Caterino, Jeffrey M.; Creditt, Angela B.; Wattana, Monica K.; Pettit, Nicholas R.; Emergency Medicine, School of Medicine
    Patients with cancer represent a growing population of patients seeking acute care in emergency departments (ED) nationwide. Emergency physicians are expected to provide excellent, consistent care to all ED patients; however, emergency medicine (EM) education and training of acute oncology is lacking. To explore this topic, the Society for Academic Emergency Medicine Oncologic Emergencies Interest Group recruited experts in the field to provide a narrative description of the current state of EM education relating to acute oncology. This review of expert opinions explores the current state of acute oncology education in EM and identifies key content gaps that merit early investment. Current emergency physician training and knowledge relating to acute oncology likely reflects the American Board of Emergency Medicine Model of Clinical Practice. Key topics such as immunotherapy are absent from the most recent revision of the Model of Clinical Practice and consequently represent a knowledge gap for large numbers of emergency physicians. Additionally, there is limited penetration of guideline-based care for symptom management in the ED setting. As such, additional attention should be provided to training programs and research efforts to address these knowledge gaps. In conclusion, the current state of acute oncology education and training of emergency physicians is lacking and merits significant investment to assure the ability of emergency physicians to provide superior care for the growing population of patients with cancer.