The global burden of fracture-related infection (FRI) is likely to be found in countries with limited healthcare resources and strategies are needed to ensure the best available practice is context appropriate. This study has two main aims: (i) to assess the applicability of recently published expert guidance from the FRI consensus groups on the diagnosis and management of FRI to low- and middle-income countries (LMICs); (ii) to summarise the available evidence on FRI, with consideration for strategies applicable to low resource settings. Data related to the International Consensus Meeting Orthopaedic Trauma Work Group and the International Fracture Related Infection Consensus Group FRI guidelines were collected including panel membership, country of origin, language of publication, open access status and impact factor of the journal of publication. The recommendations and guidelines were then summarised with specific consideration for relevance and applicability to LMICs. Barriers to implementation were explored within a group of LMIC residents and experienced workers. The authorship, evidence base and reach of the FRI consensus guidelines lack representation from low resource settings. The majority of authors (78.5-100%) are based in high-income countries and there are no low-income country collaborators listed in any of the papers. All papers are in English. The FRI consensus guidelines give a clear set of principles for the optimum management of FRI. Many of these - including the approach to diagnosis, multidisciplinary team working and some elements of surgical management - are achievable in low resource settings. Current evidence suggests that it is important that a core set of principles is prioritised but robust evidence for this is lacking. There are major organisational and infrastructure obstacles in LMICs that will make any standardisation of FRI diagnosis or management challenging. The detail of how FRI consensus principles should be applied in low resource settings requires further work. The important work presented in the current FRI consensus guidelines is relevant to low resource settings. However, leadership, collaboration, creativity and innovation will be needed to implement these strategies for communities who need it the most.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9257735 | PMC |
http://dx.doi.org/10.1530/EOR-22-0031 | DOI Listing |
Sci Rep
December 2024
Fidson Health Care PLC, Ibadan, Oyo State, Nigeria.
This study assessed the factors militating against the effective implementation of electronic health records (EHR) in Nigeria, the computerization of patients' health records with a lot of benefits including improved patients' satisfaction, improved care processes, reduction of patients' waiting time, and medication errors. Despite these benefits, healthcare organizations are slow to adopt the EHR system. Therefore, the study assessed the factors militating against the effective implementation of the EHR system, the level of awareness of EHR, and the utilization of electronic health records; it also investigated the factors militating against the effective implementation of EHR.
View Article and Find Full Text PDFSci Rep
December 2024
School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, Ningxia, 750021, China.
Lycium barbarum is an important economic crop in the arid region of Northwest China, and the regulation of irrigation and fertilisation is an important way to improve the quality and yield of Lycium barbarum. To explore the effects of water-fertiliser coupling on photosynthesis, quality and yield of Lycium barbarum under irrigation methods based on predicted crop evapotranspiration (ET), ET was calculated via reference evapotranspiration (ET) predicted on the basis of public weather forecasts, and the irrigation water volume was determined as a proportion of this ET. A field experiment was conducted via a completely randomised experimental design with five irrigation water volumes (W0 (100% ET), W1 (90% ET), W2 (80% ET), W3 (70% ET) and W4 (65% ET)) and three fertiliser application rates (high fertiliser (FH), medium fertiliser (FM) and low fertiliser (FL)).
View Article and Find Full Text PDFSci Rep
December 2024
School of Management Science and Engineering, Shandong Jianzhu University, Jinan, 250101, China.
This study seeks to improve urban supply chain management and collaborative governance in the context of public health emergencies (PHEs) by integrating fuzzy theory with the Back Propagation Neural Network (BPNN) algorithm. By combining these two approaches, an early warning mechanism for supply chain risks during PHEs is developed. The study employs Matlab software to simulate supply chain risks, incorporating fuzzy inference techniques with the adaptive data modeling capabilities of neural networks for both training and testing.
View Article and Find Full Text PDFSci Rep
December 2024
School of Computer Science and Technology (School of Cyberspace Security), Xinjiang University, Urumqi, 830046, China.
Recent works have introduced prompt learning for Event Argument Extraction (EAE) since prompt-based approaches transform downstream tasks into a more consistent format with the training task of Pre-trained Language Model (PLM). This helps bridge the gap between downstream tasks and model training. However, these previous works overlooked the complex number of events and their relationships within sentences.
View Article and Find Full Text PDFSci Rep
December 2024
Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
PrPc is expressed in various tumors and is associated with cancer progression, but previous studies have shown conflicting results regarding its relationship with patient prognosis-potentially due to differences in the antibodies used. This study aimed to clarify the relationship between PrPc expression and primary esophageal squamous cell carcinoma (ESCC) and primary hepatocellular carcinoma (HCC) using a novel anti-PrPc antibody, 4AA-m, noted for its high specificity and sensitivity. We used flow cytometry to detect PrPc expression in ESCC and HCC cell lines.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!