This retrospective study examines the effect of a medication assistance program (MAP) on HbA1c levels in an uninsured, low-income, type 2 diabetes population. It also examines the degree to which improvement in HbA1c level varied with adherence to medication regimens among those patients using the MAP. The MAP was found to have a mean effect of -0.60% on HbA1c levels. However, MAP users differed in how strictly they adhered to medication regimens, as measured by number of refill opportunities taken. The MAP's effect on HbA1c varied monotonically with adherence level, with greater adherence leading to greater HbA1c improvement. Never refilling the prescription (complete nonadherence) led to no change in HbA1c, while complete adherence led to an estimated -0.88% improvement in HbA1c. Further study is needed to investigate factors related to non-adherence within medication assistance programs and the effect of such programs on other patient outcomes.
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http://dx.doi.org/10.1353/hpu.0.0062 | DOI Listing |
Biomed Phys Eng Express
January 2025
Chiba University Center for Frontier Medical Engineering, 1-33 Yayoi-cho, Inage-ku, Chiba, Chiba, 263-8522, JAPAN.
Traumatic injury remains a leading cause of death worldwide, with traumatic bleeding being one of its most critical and fatal consequences. The use of whole-body computed tomography (WBCT) in trauma management has rapidly expanded. However, interpreting WBCT images within the limited time available before treatment is particularly challenging for acute care physicians.
View Article and Find Full Text PDFUltrasound Obstet Gynecol
January 2025
Robinson Research Institute, University of Adelaide, Adelaide, Australia.
Objectives: The development of valuable artificial intelligence (AI) tools to assist with ultrasound diagnosis depends on algorithms developed using high-quality data. This study aimed to test the intra- and interobserver agreement of a proposed image-quality scoring system to quantify the quality of gynecological transvaginal ultrasound (TVS) images, which could be used in clinical practice and AI tool development.
Methods: A proposed scoring system to quantify TVS image quality was created following a review of the literature.
J Med Internet Res
January 2025
Department of Social Sciences and Health Policy, Wake Forest University School of Medicine, Medical Center Boulevard, Winston-Salem, US.
Background: Most cancer survivors have multiple cardiovascular risk factors, increasing their risk of poor cardiovascular and cancer outcomes. The Automated Heart-Health Assessment (AH-HA) tool is a novel electronic health record clinical decision support tool based on the American Heart Association's Life's Simple 7 cardiovascular health (CVH) metrics to promote CVH assessment and discussion in outpatient oncology. Before proceeding to future implementation trials, it is critical to establish the acceptability of the tool among providers and survivors.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Radiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
To evaluate the diagnostic accuracy of artificial intelligence (AI) assisted radiologists and standard double-reading in real-world clinical settings for rib fractures (RFs) detection on CT images. This study included 243 consecutive chest trauma patients (mean age, 58.1 years; female, 166) with rib CT scans.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Applied Chemistry, National Defense Academy, Kanagawa, Japan.
Bacterial endospores are ubiquitous and are responsible for various human infections. Recently, we reported that an ionic liquid (IL)-based sample preparation method (named pTRUST) facilitated highly efficient shotgun analysis of the Bacillus subtilis spore proteome in trace samples. In this study, we evaluated the efficiency and applicability of the pTRUST technology using three different spore preparations: one purified from the closely related subspecies B.
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