دورية أكاديمية
Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review.
| العنوان: | Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review. |
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| المؤلفون: | Kuang A; Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada., Xu C; Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada., Southern DA; Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada., Sandhu N; Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. Electronic address: namneet.sandhu@ucalgary.ca., Quan H; Centre for Health Informatics, Cumming School of Medicine, University of Calgary, AB, Canada; Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada. |
| المصدر: | Journal of epidemiology and population health [J Epidemiol Popul Health] 2024 Aug; Vol. 72 (4), pp. 202744. Date of Electronic Publication: 2024 Jul 05. |
| نوع المنشور: | Systematic Review; Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Masson Country of Publication: France NLM ID: 9918769574106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2950-4333 (Electronic) Linking ISSN: 29504333 NLM ISO Abbreviation: J Epidemiol Popul Health Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: [Paris] : Elsevier Masson, [2024]- |
| مواضيع طبية MeSH: | International Classification of Diseases* , Algorithms*, Humans ; Chronic Disease/epidemiology |
| مستخلص: | Objective: This systematic review aimed to identify ICD-10 based validated algorithms for chronic conditions using health administrative data. Methods: A comprehensive systematic literature search using Ovid MEDLINE, Embase, PsycINFO, Web of Science and CINAHL was performed to identify studies, published between 1983 and May 2023, on validated algorithms for chronic conditions using administrative health data. Two reviewers independently screened titles and abstracts and reviewed full text of selected studies to complete data extraction. A third reviewer resolved conflicts arising at the screening or study selection stages. The primary outcome was validated studies of ICD-10 based algorithms with both sensitivity and PPV of ≥70 %. Studies with either sensitivity or PPV <70 % were included as secondary outcomes. Results: Overall, the search identified 1686 studies of which 54 met the inclusion criteria. Combining a previously published literature search, a total of 61 studies were included for data extraction. The study identified 40 chronic conditions with high validity and 22 conditions with moderate validity. The validated algorithms were based on administrative data from different countries including Canada, USA, Australia, Japan, France, South Korea, and Taiwan. The algorithms identified included several types of cancers, cardiovascular conditions, kidney diseases, gastrointestinal disorders, and peripheral vascular diseases, amongst others. Conclusion: With ICD-10 prominently used across the world, this up-to-date systematic review can prove to be a helpful resource for research and surveillance initiatives using administrative health data for identifying chronic conditions. Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Administrative data, ICD-10; Algorithms; Case-definitions; Chronic conditions; Validation |
| تواريخ الأحداث: | Date Created: 20240706 Date Completed: 20240805 Latest Revision: 20240805 |
| رمز التحديث: | 20240805 |
| DOI: | 10.1016/j.jeph.2024.202744 |
| PMID: | 38971056 |
| قاعدة البيانات: | MEDLINE |
| تدمد: | 2950-4333 |
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| DOI: | 10.1016/j.jeph.2024.202744 |