Background: Less than 50% of patients with hypertensive disease manage to maintain their blood pressure (BP) within normal levels.
Objective: The aim of this study is to evaluate whether cloud BP system integrated with computerized physician order entry (CPOE) can improve BP management as compared with traditional care.
Methods: A randomized controlled trial done on a random sample of 382 adults recruited from 786 patients who had been diagnosed with hypertension and receiving treatment for hypertension in two district hospitals in the north of Taiwan. Physicians had access to cloud BP data from CPOE. Neither patients nor physicians were blinded to group assignment. The study was conducted over a period of seven months.
Results: At baseline, the enrollees were 50% male with a mean (SD) age of 58.18 (10.83) years. The mean sitting BP of both arms was no different. The proportion of patients with BP control at two, four and six months was significantly greater in the intervention group than in the control group. The average capture rates of blood pressure in the intervention group were also significantly higher than the control group in all three check-points.
Conclusions: Cloud-based BP system integrated with CPOE at the point of care achieved better BP control compared to traditional care. This system does not require any technical skills and is therefore suitable for every age group. The praise and assurance to the patients from the physicians after reviewing the Cloud BP records positively reinforced both BP measuring and medication adherence behaviors.
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http://dx.doi.org/10.1016/j.cmpb.2016.04.003 | DOI Listing |
Chem Rev
January 2025
Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Recent breakthroughs in brain-inspired computing promise to address a wide range of problems from security to healthcare. However, the current strategy of implementing artificial intelligence algorithms using conventional silicon hardware is leading to unsustainable energy consumption. Neuromorphic hardware based on electronic devices mimicking biological systems is emerging as a low-energy alternative, although further progress requires materials that can mimic biological function while maintaining scalability and speed.
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Center for Health Equity Research and Promotion, Department of Veterans Affairs Pittsburgh Healthcare System.
Chronic insomnia is one of the most common health problems among veterans and can significantly impact health, function, and quality of life. Brief behavioral treatment for insomnia (BBTI), an adaptation of cognitive behavioral therapy for insomnia (CBT-I), was developed to help increase access to care outside of specialty settings. However, training providers alone is rarely sufficient, and implementation strategies are needed for successful uptake, adoption, and sustainable delivery of care.
View Article and Find Full Text PDFMethods Mol Biol
January 2025
Instituto Cajal, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
StarTrack is a powerful multicolor genetic tool designed to unravel cellular lineages arising from neural progenitor cells (NPCs). This innovative technique, based on retrospective clonal analysis and built upon the PiggyBac system, creates a unique and inheritable "color code" within NPCs. Through the stochastic integration of 12 distinct plasmids encoding six fluorescent proteins, StarTrack enables precise and comprehensive tracking of cellular fates and progenitor potentials.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Center for Environmental Sustainability and Water Security (IPASA), Research Institute for Sustainable Environment (RISE), Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
In the Johor River Basin, a comprehensive analysis was conducted on 24 water environmental parameters across 33 sampling sites over 3 years, encompassing both dry and wet seasons. A total of 396 water samples were collected and analyzed to calculate the Water Quality Index (WQI). To further assess water quality and pinpoint potential pollution sources, multivariate techniques such as principal component analysis (PCA) and cluster analysis (CA), alongside spatial analysis using inverse distance weighted (IDW) interpolation, were employed.
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