This study examined how sociological factors including financial incentives influenced whether asthmatic children received a controller medication, a reliever medication or both. The 2007 National Ambulatory Medical Care Survey was used for this analysis. A logistic regression was applied to capture the physician's decision-making and to analyze anti-asthmatic medication choice. Children with asthma seeing a pediatrician were approximately 69% more likely than children seeing a family doctor to receive a controller medication than reliever medication (p<0.01). Children with asthma enrolled in a capitated plan were 23% more likely to receive controller medications than reliever medications (p<0.01). Children with asthma of Hispanic ethnicity were 28% less likely to receive controller medication compared to non-Hispanic white (p<0.05) children. Compared with physicians with lower financial incentives, physicians who received medium (39%, p<0.05) or higher (42%, p<0.01) financial incentives from payers were more likely to prescribe controller medication than reliever medication for asthmatic children. An important finding of this study is that physicians who had medium or higher financial incentives from payers were about 40% more likely to prescribe a controller medication in asthmatic children. Findings suggest that physician incentives and capitated plans are associated with an increase in physicians prescribing controller medications or preventive care in children with asthma.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/1367493512456110 | DOI Listing |
Sci Rep
January 2025
Division of National Control of Communicable Diseases, Ministry of Health, Asmara, Eritrea.
Real-world data on treatment outcomes or the quality of large-scale chronic hepatitis B (CHB) treatment programs in sub-Saharan Africa (SSA) is extremely difficult to obtain. In this study, we aimed to provide data on the prevalence and incidence of mortality, loss to follow-up (LFTU), and their associated factors in patients with CHB in three treatment centres in Eritrea. Additional information includes baseline clinical profiles of CHB patients initiated on nucleos(t)ide analogue (NUCs) along with a comparison of treatment with Tenofovir disoproxil fumarate (TDF) vs.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Department of Anesthesiology, Perioperative Medicine and Pain Management, 1611 NW 12, University of Miami, Miami, FL, 33136, USA.
Background: Prolonged tracheal extubation time is defined as an interval ≥ 15 min from the end of surgery to extubation. An earlier study showed that prolonged extubations had a mean 12.4 min longer time from the end of surgery to operating room (OR) exit.
View Article and Find Full Text PDFJ Biomed Inform
January 2025
Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address:
Motivation: The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. Recent developments in representation learning techniques have led to effective large-scale representations of EHR concepts along with knowledge graphs that empower downstream EHR studies. However, most existing methods require training with patient-level data, limiting their abilities to expand the training with multi-institutional EHR data.
View Article and Find Full Text PDFAccid Anal Prev
January 2025
School of Computer Science and Informatics, De Montfort University, Leicester LE1 9BH, UK.
With the continuous development of intelligent transportation systems, traffic safety has become a major societal concern, and vehicle trajectory anomaly detection technology has emerged as a crucial method to ensure safety. However, current technologies face significant challenges in handling spatiotemporal data and multi-feature fusion, including difficulties in big data processing, and have room for improvement in these areas. To address these issues, this paper proposes a novel method that combines autoencoders, Mahalanobis distance, and dynamic Bayesian networks for anomaly detection.
View Article and Find Full Text PDFActa Psychol (Amst)
January 2025
Department of English Language, College of Arts, King Faisal University, Al Ahsa, Saudi Arabia.
This study investigates the combined impact of artificial intelligence (AI) tools and Uncertain Motivation (UM) strategies on the argumentative writing performance of Saudi EFL learners, using the Toulmin Model. Sixty Saudi EFL students participated in four writing tasks, with results demonstrating significant improvements in essay quality, particularly in clarity, structure, and depth. AI tools provided real-time feedback, enhancing students' ability to refine claims, data, backing, and counterarguments.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!