This paper reviews the activity undertaken between a teaching hospital and its adjacent Independent Hospital and its implementation under the Independent Sector Provider Contract between NHSE and the Independent Sector. RESULTS: From the instigation of the NHSE contract with the Independent Sector up until 28th June 2020 The Norfolk and Norwich University NHS Trust (NNUH) delivered 9016 episodes of care including 576 surgical episodes at its nearby Independent Hospital. During the time that a seven day household isolation period was required, no patients from the 31 tested postoperatively were recorded as testing positive for Covid-19. In the month after moving to a mandatory 14 day period of household isolation, 29 patients had their surgery postponed as they were unable to comply with the required period of isolation. CONCLUSION: Working cooperatively with the independent sector can deliver significant additional capacity for the NHS. Fourteen days household isolation may impact on a patient's decision to have surgery, despite, in some cases, that surgery being time-sensitive. The recommendation from NICE reducing the length of isolation largely reversed this impact.
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http://dx.doi.org/10.1016/j.surge.2020.09.009 | DOI Listing |
Front Artif Intell
January 2025
Independent Researcher, Hamburg, Germany.
Introduction: Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding the factors influencing AI adoption is critical for both research and practice. This study focuses on two key objectives: (1) validating an extended version of the Technology Acceptance Model (TAM) in the context of AI by integrating the Big Five personality traits and AI mindset, and (2) conducting an exploratory k-prototype analysis to classify AI adopters based on demographics, AI-related attitudes, and usage patterns.
View Article and Find Full Text PDFJMIR Res Protoc
January 2025
Department of Medicine and Optometry, eHealth Institue, Linnaeus University, Kalmar, Sweden.
Background: Health worker migration from Nigeria poses significant challenges to the Nigerian health care sector and has far-reaching implications for health care systems globally. Understanding the factors driving migration, its effects on health care delivery, and potential policy interventions is critical for addressing this complex issue.
Objective: This study aims to comprehensively examine the factors encouraging the emigration of Nigerian health workers, map out the effects of health worker migration on the Nigerian health system, document the loss of investment in health training and education resulting from migration, identify relevant policy initiatives addressing migration, determine the effects of Nigerian health worker migration on destination countries, and identify the benefits and demerits to Nigeria of health worker migration.
J Glob Health
January 2025
Department of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Background: The prevalence of antibiotic prescribing among total prescriptions, the percentage of combined antibiotic prescribing among prescriptions containing at least one antibiotic, and factors influencing hospital antibiotic prescribing are currently unknown. In this systematic review, we aimed to summarise antibiotic prescribing in hospitals worldwide and identify the associated factors.
Methods: We searched PubMed/MEDLINE, Ovid/Embase, and the Web of Science for articles published between 1 January 2000 and 28 February 2023 that reported antibiotic prescribing in hospitals or the associated factors.
Genetics
January 2025
Donald Danforth Plant Science Center, St. Louis, MO 63132, USA.
Forward genetic screens of mutant populations are fundamental for functional genomics studies. However, isolating independent mutant alleles to molecularly identify causal genes is challenging in species recalcitrant to genetic manipulation. Here, we demonstrate that classic seed EMS mutagenesis coupled with genome sequencing can overcome this limitation in sorghum.
View Article and Find Full Text PDFFront Public Health
January 2025
Bihar Technical Support Unit, Patna, India.
Introduction: Bihar Rural Livelihoods Promotion Society launched the JEEViKA program in 2007 to improve livelihoods through the Self-Help Group (SHG) platform. Women's SHGs have shown members' health improvements by promoting awareness, practices and access to services. This study investigates whether Health & Nutrition (HN) interventions delivered by JEEViKA Technical Support Program (JTSP) via SHG platforms could improve maternal and newborn health and nutritional behaviors in rural Bihar.
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