The paper discusses the necessity of combining data from various sources in order to enhance their usefulness for a variety of applications. As future data use can hardly be forseen in advance, major data sets in health services should fulfill several formal requirements in order to make them suitable for future linkage. These formal requirements are that there be references to defined populations, to specific persons, to defined time periods, to specific places or regions. It would be necessary for terms, definition and classification schemes to agree between data sets which are to be linked and be in wide use. Three facets of data linkage are discussed specifically namely linking data at one level of aggregation, linking different data components, and combining data sets from different sources at several levels of aggregation. Three examples are provided, describing linkages of data from various sources for epidemiological studies and a study in health services research. They show that at this point in descriptive epidemiological studies linkage on the basis of regions is of great importance. This implies that it would be desirable for large scale data collection activities in health services to provide for a uniform representation of the geographic areas. Such uniformity would greatly enhance the linkage potential of data sets and thus their usefulness for small area and regional analyses.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/BF02083047 | DOI Listing |
Acta Crystallogr A Found Adv
March 2025
Department of Physics, Durham University, South Road, Durham, DH1 3LE, United Kingdom.
Bloch waves are often used in dynamical diffraction calculations, such as simulating electron diffraction intensities for crystal structure refinement. However, this approach relies on matrix diagonalization and is therefore computationally expensive for large unit cell crystals. Here Bloch wave theory is re-formulated using the physical optics concepts underpinning the multislice method.
View Article and Find Full Text PDFPsychiatr Psychol Law
January 2024
School of Psychology and Neuroscience, University of Glasgow, Glasgow, UK.
We study the effect of the Scottish three-verdict system (guilty, not guilty, not proven) and the Anglo-American two-verdict system (guilty, not guilty) on juror decisions by combining data sets from 10 mock trials reported in suitable studies. A logistic regression with random effects uses the exact number of convictions and acquittals in 10 mock trials from a total of 1778 jurors to reliably estimate the effect of verdict system. We found a statistically significant verdict effect suggesting that the odds for a conviction by a juror are about 0.
View Article and Find Full Text PDFJ Neurosurg Anesthesiol
January 2025
Department of Anesthesiology, Pharmacology and Therapeutics, University of British Columbia.
This focused review explores the current literature on anesthetic care of pregnant patients requiring intracranial intervention. Neuropathology in pregnancy is rare, and existing evidence for management remains limited by the ethical complexities surrounding maternal and fetal research-related risks; pregnant women are typically excluded from randomized controlled trials. Physiological changes during pregnancy, combined with additional fetal considerations, alter pharmacodynamics and complicate the safety profile of maternal interventions.
View Article and Find Full Text PDFEur J Med Res
January 2025
The Department of Pediatrics, The Third Xiangya Hospital of Central South University, Changsha, 410013, Hunan, China.
Background: The systemic immune-inflammation index (SII) is an emerging marker of inflammation, and the onset of psoriasis is associated with inflammation. The aim of our study was to investigate the potential impact of SII on the incidence rate of adult psoriasis.
Methods: We conducted a cross-sectional study based on the National Health and Nutrition Examination Survey (NHANES) 2011-2014 data sets.
Sci Data
January 2025
Computer Science and Engineering Department, Universidad Carlos III de Madrid, Av. Universidad, 30, Leganés, 28911, Madrid, Spain.
This article describes a dataset on nut allergy extracted from Spanish clinical records provided by the Hospital Universitario Fundación de Alcorcón (HUFA) in Madrid, Spain, in collaboration with its Allergology Unit and Information Systems and Technologies Department. There are few publicly available clinical texts in Spanish and having more is essential as a valuable resource to train and test information extraction systems. In total, 828 clinical notes in Spanish were employed and several experts participated in the annotation process by categorizing the annotated entities into medical semantic groups related to allergies.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!