Background: The recent liberalisation of public access to information, including surgical performance, emphasises the necessity for accurate data collection. The Information and Statistics Division of the Scottish Executive (ISD) collect such data for each patient episode, but there is concern about the reliability of this information compared with that collected in local surgical departmental audit.
Aim: To determine if diagnostic and operative details were consistent between local audited and national non-audited data sets.
Methods: Three surgical units comprising eight consultants were studied. Epidemiological, diagnostic and operative data for each consultant were accessed from the eScrips Internet resource (ISD Data) and from the departmental database. A unique patient number and date of birth matched individual patient episodes and the correlation between datasets graded for accuracy and consistency.
Results: 8375 individual data entries were recorded (ISD 4642, local databases 3733). 3402 pairs, 6408 (76.5%) of the total, matched accurately. 742 (16%) of the ISD entries were duplicates, and in 21% of unpaired entries the wrong consultant was recorded. Overall a clinically acceptable match occurred in 86.9% of paired entries for diagnosis and 84.0% for operation. The highest match with ISD data for diagnosis (88.8%) and operation (91.8%) occurred in the unit which holds a weekly audit meeting to validate information.
Discussion: There are significant discrepancies in surgical data between the local audit databases and central data. There is significant duplication of entries and inaccurate consultant allocation in ISD data. The promulgation of inaccurate information could threaten reputation or career and clinicians should play a more active role in ensuring clinical data are correct.
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http://dx.doi.org/10.1016/s1479-666x(07)80025-4 | DOI Listing |
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Gansu Key Laboratory of Biomonitoring and Bioremediation for Environmental Pollution, School of Life Sciences, Lanzhou University, Lanzhou 730000, China. Electronic address:
Habitat fragmentation represents a multifaceted global conservation threat, exerting both direct and indirect effects on individual animals and communities. Reptiles, particularly smaller species with limited migratory abilities, are especially vulnerable to these changes. This study examines how small reptiles adapt their life history strategies in fragmented habitats and determines whether their responses are primarily due to phenotypic plasticity or genetic adaptation.
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Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical school, University of South China, Hengyang, Hunan 421001, China. Electronic address:
Microcystin LR (MC-LR) pollution is a serious threat to aquatic ecosystems and public health in China and is an environmental problem that urgently needs to be solved. However, few studies have investigated the anaerobic degradation pathway and related molecular biological mechanisms of MC-LR. In this study, a bacterium capable of degrading MC-LR with a degradation efficiency of 0.
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West China Center of Excellence for Pancreatitis, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu 610041, China; Regenerative Medicine Research Center, Sichuan University West China Hospital, Chengdu, Sichuan 610041, China. Electronic address:
Dichlorvos (DDVP) is an organophosphorus pesticide commonly utilized in agricultural production. Recent epidemiological studies suggest that exposure to DDVP correlates with an increased incidence of liver disease. However, data regarding the hepatotoxicity of DDVP remain limited.
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RAND, Boston, MA, United States. Electronic address:
Importance: States have implemented multiple policies likely to influence opioid prescribing; few national general population studies examine those policies' effects on per-capita opioid morphine milligram equivalents (MME) dispensed.
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Design: A longitudinal study of associations between MME per capita and implementation of policy interventions at different times across states.
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CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China; National Key Laboratory of Kidney Diseases, Beijing 100853, China. Electronic address:
In clinical optical molecular imaging, the need for real-time high frame rates and low excitation doses to ensure patient safety inherently increases susceptibility to detection noise. Faced with the challenge of image degradation caused by severe noise, image denoising is essential for mitigating the trade-off between acquisition cost and image quality. However, prevailing deep learning methods exhibit uncontrollable and suboptimal performance with limited interpretability, primarily due to neglecting underlying physical model and frequency information.
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