Introduction: The fourth INTEnsive ambulance-delivered blood pressure Reduction in hyper-ACute stroke Trial (INTERACT4) is a large-scale, multicenter, prospective, randomized, open-label, blinded endpoint assessment trial, initiated in an ambulance in China, aiming at evaluating the effectiveness and safety of prehospital blood pressure (BP) lowering in patients with suspected acute stroke and elevated BP. A prespecified process evaluation is intended to explore the implementation of the trial intervention, provide support to interpret the trial outcomes and put forward suggestions to scale up the intervention in broader settings in the future.
Methods: This process evaluation is a mixed-methods design, and follows the Normalization Process Theory (NPT) and the UK Medical Research Council (UK MRC) guidance. Fidelity, reach, acceptability, appropriateness, adoption, sustainability, and relevant contextual factors and mechanisms affecting the implementation of prehospital early intensive BP-lowering treatment will be analyzed. Semi-structured interviews with ambulance staff, ward and emergency department clinicians, and nurses are undertaken to explore perceptions of the intervention, contextual factors, and potential suggestions for future implementation in practice. Data from observational records, surveys, conventional monitoring data, on-site records, and case report forms will be analyzed to understand background care and context.
Conclusion: The process evaluation of INTERACT4 will provide insights for the implementation of prehospital early intensive BP-lowering intervention in different health systems and help better explain the trial results for further scale up.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000541322 | DOI Listing |
Clin Trials
January 2025
Rare Diseases Team, Office of New Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
Background/aims: Rare disease drug development faces unique challenges, such as genotypic and phenotypic heterogeneity within small patient populations and a lack of established outcome measures for conditions without previously successful drug development programs. These challenges complicate the process of selecting the appropriate trial endpoints and conducting clinical trials in rare diseases. In this descriptive study, we examined novel drug approvals for non-oncologic rare diseases by the U.
View Article and Find Full Text PDFFront Biosci (Landmark Ed)
January 2025
Graduate School of Life and Environmental Sciences, Integrated Graduate School of Medicine, Engineering, and Agricultural Sciences, University of Yamanashi, 400-8510 Kofu, Japan.
Background: Sperm represent a heterogeneous population crucial for male reproductive success. Additionally, sperm undergo dynamic changes during maturation and capacitation. Despite these well-established processes, the complex nature of sperm heterogeneity and membrane dynamics remains elusive.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Speech and Language Rehabilitation Department, Beijing Rehabilitation Hospital Affiliated with Capital Medical University, Beijing, China.
The background for establishing and verifying a dehydration prediction model for elderly patients with post-stroke dysphagia (PSD) based on General Utility for Latent Process (GULP) is as follows: For elderly patients with PSD, GULP technology is utilized to build a dehydration prediction model. This aims to improve the accuracy of dehydration risk assessment and provide clinical intervention, thereby offering a scientific basis and enhancing patient prognosis. This research highlights the innovative application of GULP technology in constructing complex medical prediction models and addresses the special health needs of elderly stroke patients.
View Article and Find Full Text PDFBr J Hosp Med (Lond)
January 2025
Department of Gastroenterology, Nantong First People's Hospital, Affiliated Hospital 2 of Nantong University, Nantong, Jiangsu, China.
Artificial intelligence (AI), with advantages such as automatic feature extraction and high data processing capacity and being unaffected by fatigue, can accurately analyze images obtained from colonoscopy, assess the quality of bowel preparation, and reduce the subjectivity of the operating physician, which may help to achieve standardization and normalization of colonoscopy. In this study, we aimed to explore the value of using an AI-driven intestinal image recognition model to evaluate intestinal preparation before colonoscopy. In this retrospective analysis, we analyzed the clinical data of 98 patients who underwent colonoscopy in Nantong First People's Hospital from May 2023 to October 2023.
View Article and Find Full Text PDFBiomed Tech (Berl)
December 2024
66284 School of Design & Art, Shenyang Aerospace University, Shenyang, China.
Objectives: The actions and decisions of pilots are directly related to aviation safety. Therefore, understanding the neurological and cognitive processes of pilots during flight is essential. This study aims to investigate the EEG signals of pilots to understand the characteristic changes during the climb and descent stages of flight.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!