دورية أكاديمية
Training in data definitions improves quality of intensive care data.
| العنوان: | Training in data definitions improves quality of intensive care data. |
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| المؤلفون: | Arts DG; Department of Intensive Care Medicine, Academic Medical Center, University of Amsterdam, The Netherlands. D.G.Arts@amc.uva.nl, Bosman RJ, de Jonge E, Joore JC, de Keizer NF |
| المصدر: | Critical care (London, England) [Crit Care] 2003 Apr; Vol. 7 (2), pp. 179-84. Date of Electronic Publication: 2003 Feb 18. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 9801902 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1364-8535 (Print) Linking ISSN: 13648535 NLM ISO Abbreviation: Crit Care Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: London, UK : BioMed Central Ltd Original Publication: London : Current Science Ltd, c1997- |
| مواضيع طبية MeSH: | Health Status Indicators* , Information Storage and Retrieval* , Inservice Training* , Intensive Care Units*, Medical Staff, Hospital/*education, APACHE ; Evaluation Studies as Topic ; Female ; Humans ; Male ; Netherlands ; Quality Indicators, Health Care ; Registries ; Reproducibility of Results ; Statistics, Nonparametric ; Teaching/methods |
| مستخلص: | Background: Our aim was to assess the contribution of training in data definitions and data extraction guidelines to improving quality of data for use in intensive care scoring systems such as the Acute Physiology and Chronic Health Evaluation (APACHE) II and Simplified Acute Physiology Score (SAPS) II in the Dutch National Intensive Care Evaluation (NICE) registry. Methods: Before and after attending a central training programme, a training group of 31 intensive care physicians from Dutch hospitals who were newly participating in the NICE registry extracted data from three sample patient records. The 5-hour training programme provided participants with guidelines for data extraction and strict data definitions. A control group of 10 intensive care physicians, who were trained according the to train-the-trainer principle at least 6 months before the study, extracted the data twice, without specific training in between. Results: In the training group the mean percentage of accurate data increased significantly after training for all NICE variables (+7%, 95% confidence interval 5%-10%), for APACHE II variables (+6%, 95% confidence interval 4%-9%) and for SAPS II variables (+4%, 95% confidence interval 1%-6%). The percentage data error due to nonadherence to data definitions decreased by 3.5% after training. Deviations from 'gold standard' SAPS II scores and predicted mortalities decreased significantly after training. Data accuracy in the control group did not change between the two data extractions and was equal to post-training data accuracy in the training group. Conclusion: Training in data definitions and data extraction guidelines is an effective way to improve quality of intensive care scoring data. |
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| تواريخ الأحداث: | Date Created: 20030502 Date Completed: 20031006 Latest Revision: 20191107 |
| رمز التحديث: | 20231215 |
| مُعرف محوري في PubMed: | PMC270628 |
| DOI: | 10.1186/cc1886 |
| PMID: | 12720565 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 1364-8535 |
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| DOI: | 10.1186/cc1886 |