Introduction: Centralisation defined as the reorganisation of healthcare services into fewer specialised units serving a higher volume of patients is a potential measure for healthcare reforms aiming at reducing costs while improving quality. Research on centralisation of healthcare services is thus essential to inform decision-makers. However, so far studies on centralisation report a variability of outcomes, often neglecting outcomes at the health system level. Therefore, this study aims at developing a core outcome set (COS) for studies on centralisation of hospital procedures, which is intended for use in observational as well as in experimental studies.
Methods And Analysis: We propose a five-stage study design: (1) systematic review, (2) focus group, (3) interview studies, (4) online survey, (5) Delphi survey. The study will be conducted from March 2022 to November 2023. First, an initial list of outcomes will be identified through a systematic review on reported outcomes in studies on minimum volume regulations. We will search MEDLINE, EMBASE, CENTRAL, CINHAL, EconLIT, PDQ-Evidence for Informed Health Policymaking, Health Systems Evidence, Open Grey and also trial registries. This will be supplemented with relevant outcomes from published studies on centralisation of hospital procedures. Second, we will conduct a focus group with representatives of patient advocacy groups for which minimum volume regulations are currently in effect in Germany or are likely to come into effect to identify outcomes important to patients. Furthermore, two interview studies, one with representatives of the German medical societies and one with representatives of statutory health insurance funds, as well as an online survey with health services researchers will be conducted. In our analyses of the suggested outcomes, we will largely follow the categorisation scheme developed by the Cochrane EPOC group. Finally, a two-round online Delphi survey with all stakeholder groups using predefined score criteria for consensus will be employed to first prioritise outcomes and then agree on the final COS.
Ethics And Dissemination: This study has been approved by the Research Ethics Committee at the Brandenburg Medical School Theodor Fontane (MHB). The final COS will be disseminated to all stakeholders involved and through peer-reviewed publications and conferences.
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http://dx.doi.org/10.1136/bmjopen-2022-068138 | DOI Listing |
3D Print Med
December 2024
Diagnostic Imaging Department, Hospital de la Santa Creu i Sant Pau, Sant Antoni Maria Claret 167, 08025, Barcelona, Spain.
Background: 3D technologies [Virtual and Augmented 3D planning, 3D printing (3DP), Additive Manufacturing (AM)] are rapidly being adopted in the healthcare sector, demonstrating their relevance in personalized medicine and the rapid development of medical devices. The study's purpose was to understand the state and evolution of 3DP/AM technologies at the Point-of-Care (PoC), its adoption, organization and process in Spanish hospitals and to understand and compare the evolution of the models, clinical applications, and challenges in utilizing the technology during the COVID-19 pandemic and beyond.
Methods: This was a questionnaire-based qualitative and longitudinal study.
Vet Sci
December 2024
Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Chattogram 4225, Bangladesh.
Despite the significant growth in Sonali chicken production across Bangladesh, inadequate disease surveillance and control measures along with indiscriminate antimicrobial use remain major challenges to the sector. In this study, we evaluated the disease burden and antimicrobial prescription patterns of Sonali chickens in Bangladesh using a web-based data recording system from 2020 to 2021 and analyzed 1690 cases. The diagnoses recorded in the system were presumptive, as they were based on clinico-epidemiological history, clinical signs, and gross necropsy findings noted by registered veterinarians.
View Article and Find Full Text PDFJ Fungi (Basel)
December 2024
Guangdong Provincial Key Laboratory of Aquatic Animal Disease Control and Healthy Culture, College of Fisheries, Guangdong Ocean University, Zhanjiang 524088, China.
Fungi are one of the major components of the eukaryotic microbial community in marine ecosystems, playing a significant role in organic matter cycling and food web dynamics. However, the diversity and roles of fungi in marine sediments remain poorly documented. To elucidate the diversity and spatial distribution of fungal communities in the marine sediments of an estuary-coast continuum across three distinct salinity regions in Zhanjiang Bay, China, the variations in fungal diversity, abundance, community structure, and distribution in the sediments were investigated through the application of high-throughput amplicon sequencing using the internal transcribed spacer (ITS) primers.
View Article and Find Full Text PDFEur Burn J
November 2024
Department of Surgery, University of Washington, Seattle, WA 98195, USA.
In this study, we aimed to integrate a genetic repository with an existing longitudinal national burn database. We set out two primary objectives, namely (1) to develop standard operating procedures for genetic sample collection and storage, DNA isolation, and data integration into an existing multicenter database; and (2) to demonstrate the feasibility of correlating genetic variation to functional outcomes in a pilot study, using the catechol-O-methyltransferase (COMT) gene. Dubbed the worrier/warrior gene, COMT variants have been associated with varying phenotypes of post-traumatic stress, wellbeing, and resilience.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Republic of Korea.
Objective: We previously developed artificial intelligence (AI) diagnosis algorithms for predicting the six classes of stomach lesions. However, this required significant computational resources. The incorporation of AI into medical devices has evolved from centralized models to decentralized edge computing devices.
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