Validated administrative data based ICD-10 algorithms for chronic conditions: A systematic review

This systematic review aimed to identify ICD-10 based validated algorithms for chronic conditions using health administrative data. A comprehensive systematic literature search using Ovid MEDLINE, Embase, PsycINFO, Web of Science and CINAHL was performed to identify studies, published between 1983 a...

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Veröffentlicht in:Journal of Epidemiology and Population Health 2024-08, Vol.72 (4), p.202744, Article 202744
Hauptverfasser: Kuang, Angela, Xu, Claire, Southern, Danielle A, Sandhu, Namneet, Quan, Hude
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Sprache:eng
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Zusammenfassung:This systematic review aimed to identify ICD-10 based validated algorithms for chronic conditions using health administrative data. 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
ISSN:2950-4333
2950-4333
DOI:10.1016/j.jeph.2024.202744