This paper reviews information from surveys and focus group studies about how consumers define high-quality care and the types of information they want when making decisions about which health plan to join. The authors also interviewed consumer advocacy groups and persons responsible for disseminating health plan information to Medicare enrollees in various types of managed care plans to learn about the types of plan information that Medicare enrollees most often request. They describe the types of information that should be made available to consumers and the challenges involved in making this information understandable and useful.
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http://dx.doi.org/10.1377/hlthaff.15.4.42 | DOI Listing |
Orthop Surg
January 2025
Senior Department of Orthopedics, The Fourth Medical Center of PLA General Hospital, Beijing, China.
Objective: Robotic-assisted total knee arthroplasty (TKA) is a novel orthopedic technique. The workflow of robotic-assisted TKA is quite different from that of traditional manual TKA and may result incompletely different resection parameters. Understanding these parameters may help surgeons better perform robotic-assisted TKA.
View Article and Find Full Text PDFAfr J Prim Health Care Fam Med
December 2024
Department of Nursing, Faculty of Science, Agriculture and Engineering, University of Zululand, Kwadlangezwa.
Background: According to the United Nations Fund for Population Activities, sexuality education (SE) requires building a multisectoral team and developing an operational plan. Hence, teaching comprehensive sexuality education (CSE) in collaboration with relevant stakeholders is a managerial approach to provide school-going adolescents with the knowledge and skills to make informed decisions that will safeguard their health.
Aim: To report on Life Orientation (LO) teachers' perspectives on intersectoral collaboration management of SE in secondary schools in KwaZulu-Natal (KZN) province, South Africa.
Eur Heart J Digit Health
January 2025
Massachusetts General Hospital, 55 Fruit St, Boston, MA 02114, USA.
Aims: Accurate prediction of clinical outcomes following percutaneous coronary intervention (PCI) is essential for mitigating risk and peri-procedural planning. Traditional risk models have demonstrated a modest predictive value. Machine learning (ML) models offer an alternative risk stratification that may provide improved predictive accuracy.
View Article and Find Full Text PDFEur J Obstet Gynecol Reprod Biol X
March 2025
Mother and Newborn Health Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
This review examines the emerging applications of machine learning (ML) and radiomics in the diagnosis and prediction of placenta accreta spectrum (PAS) disorders, addressing a significant challenge in obstetric care. It highlights recent advancements in ML algorithms and radiomic techniques that utilize medical imaging modalities like magnetic resonance imaging (MRI) and ultrasound for effective classification and risk stratification of PAS. The review discusses the efficacy of various deep learning models, such as nnU-Net and DenseNet-PAS, which have demonstrated superior performance over traditional diagnostic methods through high AUC scores.
View Article and Find Full Text PDFIJID Reg
March 2025
Institute of Geography & Heidelberg Centre for Environment, Heidelberg University, Heidelberg, Germany.
Objectives: Little is known about the complex interplay between urban structure and health in rapidly urbanizing cities in Nigeria.
Methods: The study broadly used very high-resolution satellite imagery and gathered primary data. With the aid of the very high-resolution imagery and identified neighborhoods, two neighborhoods each were sampled based on their classified urban structure characteristics.
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