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Objective: Currently, population growth and increasing life expectancy are becoming one of the biggest public health challenges in the world, which has increased the prevalence of chronic diseases such as end-stage renal disease and the need for kidney transplantation. The use of a variety of registries has the potential to determine the effectiveness of clinical care and costs and improve the quality of patient care. The aim of this study is to design minimum data set to develop a kidney transplantation registry in Iran to improve the quality of care for people with end-stage renal disease.
Methods: The present research is descriptive-applied. The minimum data set was reviewed and evaluated in expert panel meetings. The various elements of the minimum data set were discussed, and specialists in urology, nephrology, health information management, and medical informatics presented their views.
Results: The characteristics of the kidney transplantation registry in the form of eight axes of purpose, structure, data sources, minimum data set, classification systems, data processing and reporting, distribution and access to information, and data quality were extracted and finally these characteristics were approved by experts. The relevant tables were validated and were within the acceptable range from the point of view of experts.
Conclusion: In developing a kidney transplantation registry in Iran, the necessary requirements and features for designing a web-based registry have been considered. The prototype of this registry in the country will help to collect higher quality data. It is hoped that by developing this registry, a step will be taken to better manage the information on people with end-stage renal disease, provide better services to these patients, and facilitate related research.
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http://dx.doi.org/10.4103/jfmpc.jfmpc_2430_22 | DOI Listing |
Knee Surg Relat Res
September 2025
Florida Orthopaedic Institute, Gainesville, FL, 32607, USA.
Background: A clear understanding of minimal clinically important difference (MCID) and substantial clinical benefit (SCB) is essential for effectively implementing patient-reported outcome measurements (PROMs) as a performance measure for total knee arthroplasty (TKA). Since not achieving MCID and SCB may reflect suboptimal surgical benefit, the primary aim of this study was to use machine learning to predict patients who may not achieve the threshold-based outcomes (i.e.
View Article and Find Full Text PDFBMC Nurs
September 2025
Institute for Public Health and Nursing Research, Department Evaluation and Implementation Research in Nursing Science, University of Bremen, Grazer Straße 4, D- 28359, Bremen, Germany.
Background: School nursing is a complex clinical specialty practice that varies across different countries. Theories, models and frameworks can inform nursing practice. This scoping review aims to explore the conceptualisation and operationalisation of school nursing in theories, models and frameworks.
View Article and Find Full Text PDFJ Cataract Refract Surg
July 2025
Department of Ophthalmology, Santo António Local Health Unit, Porto, Portugal.
Purpose: To demonstrate the efficacy and safety of iris-claw phakic intraocular lens (pIOL) in the treatment of post keratoplasty astigmatism.
Setting: Cornea Unit, Ophthalmology Department - Unidade Local de Saúde de Santo António - Porto, Portugal.
Design: Retrospective longitudinal study.
J Safety Res
September 2025
Department of Civil Engineering, College of Engineering Trivandrum, Thiruvananthapuram, Kerala, India. Electronic address:
Introduction: Traffic signals are the controlling devices aimed to reduce crossing conflicts at intersections. However, rear-end and lane-changing conflicts at signalized intersection approaches are a significant problem. This work aims to proactively assess and spatially map the safety and risk at signalized intersection approaches by field data collection and microsimulation modeling using PTV-VISSIM.
View Article and Find Full Text PDFNeurobiol Dis
September 2025
Farber Institute for Neuroscience, Department of Neurology, Thomas Jefferson University; Philadelphia, PA, USA. Electronic address:
Temporal lobe epilepsy (TLE) patients experience shifts between non-seizing and seizing brain states, but the structural networks underlying these transitions remain undefined and poorly characterized. We detected dynamic brain states in resting-state fMRI and constructed linked structural networks utilizing multi-shell diffusion-weighted MR data. Leveraging network control theory, we interrogated the structural data for all possible brain state transitions, identifying those requiring abnormal levels of transition energy (low or high) in TLE compared to matched healthy participants (n's = 25).
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