98%
921
2 minutes
20
Lung cancer is the leading cause of cancer mortality in the USA. In the rural Black Belt region of Alabama, high rates of lung cancer incidence and mortality coupled with disproportionate lack of access to health services stresses the need for navigating high risk and disproportionately affected groups towards successfully obtaining lung cancer screenings. We utilized our well-accepted Community Health Advisor (CHA) model for education and awareness. This study seeks to evaluate the results of the Alabama Lung Cancer Awareness, Screening, and Education (ALCASE) training on CHAs, program evaluation, and lessons learned. A total of 202 participants were eligible and enrolled for CHA training. One hundred thirty CHAs were included for the final analyses. Descriptive statistics were computed; differences in pre-test and post-test scores were compared across demographic characteristics of the participants using paired t-test/one-way ANOVA. Of the 130 CHAs, 46% were 65 years or older; 98% were African Americans, and 87% were female; 17% of participants were cancer survivors. The mean post-test scores were 2.2 points greater than mean pre-test scores, and the difference was significant (mean (SD): pre-test = 20.8 (2.8) versus post-test = 23 (2.2); p = 0.001). No notable difference in pre-test and post-test scores were observed by CHA's demographic characteristics except by their county of residence or work (p = 0.0019). We demonstrate the capability and value of successfully recruiting and training motivated community members to be able to serve educators to better reach medically underserved and historically excluded communities.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s13187-022-02149-9 | DOI Listing |
JAMA Netw Open
September 2025
Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
Importance: Patients with advanced cancer frequently receive broad-spectrum antibiotics, but changing use patterns across the end-of-life trajectory remain poorly understood.
Objective: To describe the patterns of broad-spectrum antibiotic use across defined end-of-life intervals in patients with advanced cancer.
Design, Setting, And Participants: This nationwide, population-based, retrospective cohort study used data from the South Korean National Health Insurance Service database to examine broad-spectrum antibiotic use among patients with advanced cancer who died between July 1, 2002, and December 31, 2021.
Minerva Surg
September 2025
Unit of Geriatric Medicine, Department of Emergency, Foresea Life Insurance Guangzhou General Hospital, Guangzhou, China -
J Neurooncol
September 2025
Department of Neurosurgery, University of Michigan, Ann Arbor, MI, USA.
Purpose: Frailty measures are critical for predicting outcomes in metastatic spine disease (MSD) patients. This study aimed to evaluate frailty measures throughout the disease process.
Methods: This retrospective analysis measured frailty in MSD patients at multiple time points using a modified Metastatic Spinal Tumor Frailty Index (MSTFI).
J Robot Surg
September 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, UT Health San Antonio, 7703 Floyd Curl Drive, 7836, San Antonio, TX, 78229-3900, USA.
To evaluate intraoperative ventilatory mechanics during robotic-assisted hysterectomy in obese women with endometrial cancer and introduce the concept of a physiologic "ceiling effect" in respiratory strain. We conducted a retrospective cohort study of 89 women with biopsy-confirmed endometrial cancer who underwent robotic-assisted total hysterectomy between 2011 and 2015. Intraoperative ventilatory parameters, including plateau airway pressure and static lung compliance, were recorded at five-minute intervals.
View Article and Find Full Text PDFJ Cancer Res Clin Oncol
September 2025
Institute for Community Medicine, Section Epidemiology of Health Care and Community Health, University Medicine Greifswald, Greifswald, Germany.
Purpose: The German sector-based healthcare system poses a major challenge to continuous patient monitoring and long-term follow-up, both essential for generating high-quality, longitudinal real-world data. The national Network for Genomic Medicine (nNGM) bridges the inpatient and outpatient care sectors to provide comprehensive molecular diagnostics and personalized treatment for non-small cell lung cancer (NSCLC) patients in Germany. Building on the established nNGM infrastructure, the DigiNet study aims to evaluate the impact of digitally integrated, personalized care on overall survival (OS) and the optimization of treatment pathways, compared to routine care.
View Article and Find Full Text PDF