Introduction And Objective: In recent decades, caesarean section rates have increased dramatically worldwide and the reasons for this trend are not fully understood. This continuing trend has raised public health concerns regarding higher maternal and perinatal risks, high costs, healthcare efficiency, and inequality of services. The current study aimed to explore the perspectives and insights of healthcare providers and policymakers in the Israeli health system regarding the factors that drive caesarean section rates and the readiness and feasibility of implementing the Robson Ten Group Classification System for the first time.
Methods: Semi-structured interviews were conducted ( = 12) with purposefully selected healthcare providers and policymakers in Israel. Data was analysed inductively using a thematic analysis approach.
Results: The findings reflected the "changing landscape" in childbirth practices and attitudes that contributes to the rising caesarean section rate, including childbirth at older ages, birth planning, and a transition toward a more collaborative decision-making approach to childbirth. The participants emphasized the lack of a standardized classification or consistent data monitoring of caesarean section in the Israeli health system. Additionally, enablers to implement the Robson Ten Group Classification System in Israel (ease of use, data collection and recording, and the allocation of resources and personnel), as well as barriers (concerns over workload, limited resources, budget implications, and technological complexity), were found.
Conclusions: This study revealed the multifaceted factors shaping caesarean section rates within Israel and underscored the perceived need for evidence-based monitoring and informed decision-making in healthcare practices. Our findings support the conclusion that empirical evidence and clear data are crucial for effective caesarean section use and are currently lacking in Israeli hospitals. Thus, it is recommended to adopt a globally standardized, accepted, and effective tool-the Robson Ten Group Classification System-to accommodate the "changing landscape" in alignment with evolving medical and societal dynamics, which consequently will assist in optimizing caesarean section use.
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http://dx.doi.org/10.1177/20503121241237447 | DOI Listing |
J Am Med Inform Assoc
January 2025
Kennewick, WA 99338, United States.
Objective: This study evaluates the utility of word embeddings, generated by large language models (LLMs), for medical diagnosis by comparing the semantic proximity of symptoms to their eponymic disease embedding ("eponymic condition") and the mean of all symptom embeddings associated with a disease ("ensemble mean").
Materials And Methods: Symptom data for 5 diagnostically challenging pediatric diseases-CHARGE syndrome, Cowden disease, POEMS syndrome, Rheumatic fever, and Tuberous sclerosis-were collected from PubMed. Using the Ada-002 embedding model, disease names and symptoms were translated into vector representations in a high-dimensional space.
JMIR Perioper Med
January 2025
Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: Postoperative delirium (POD) is a common complication after major surgery and is associated with poor outcomes in older adults. Early identification of patients at high risk of POD can enable targeted prevention efforts. However, existing POD prediction models require inpatient data collected during the hospital stay, which delays predictions and limits scalability.
View Article and Find Full Text PDFCan J Exp Psychol
January 2025
Department of Psychology, University at Buffalo.
Working memory is associated with general intelligence and is crucial for performing complex cognitive tasks. Neuroimaging investigations have recognized that working memory is supported by a distribution of activity in regions across the entire brain. Identification of these regions has come primarily from general linear model analyses of statistical parametric maps to reveal brain regions whose activation is linearly related to working memory task conditions.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
College of Nursing, University of Nebraska Medical Center, Omaha, NE, United States.
Background: The known and established benefits of exercise in patients with heart failure (HF) are often hampered by low exercise adherence. Mobile health (mHealth) technology provides opportunities to overcome barriers to exercise adherence in this population.
Objective: This systematic review builds on prior research to (1) describe study characteristics of mHealth interventions for exercise adherence in HF including details of sample demographics, sample sizes, exercise programs, and theoretical frameworks; (2) summarize types of mHealth technology used to improve exercise adherence in patients with HF; (3) highlight how the term "adherence" was defined and how it was measured across mHealth studies and adherence achieved; and (4) highlight the effect of age, sex, race, New York Heart Association (NYHA) functional classification, and HF etiology (systolic vs diastolic) on exercise adherence.
J Consult Clin Psychol
January 2025
Department of Clinical Psychology, Faculty of Social and Behavioural Sciences, Utrecht University.
Objective: Sudden gains describe large and stable reductions in symptoms between two consecutive treatment sessions and have not yet been investigated in prolonged grief disorder (PGD), a new disorder in the 11th edition of the and text revision of the fifth edition of the characterized by separation distress and accompanying symptoms beyond 6 months of bereavement. The study aimed to examine the occurrence of sudden gains and their relation to treatment outcome and content during cognitive behavioral therapy (CBT) and supportive counseling for children and adolescents with PGD symptoms.
Method: We used data from 118 patients (50% female; age: = 12.
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