Validating opioid use disorder diagnoses in administrative data: a commentary on existing evidence and future directions

被引:6
|
作者
Scherrer, Jeffrey F. F. [1 ,2 ,3 ]
Sullivan, Mark D. D.
LaRochelle, Marc R. R. [4 ,5 ]
Grucza, Richard [1 ,3 ]
机构
[1] St Louis Univ, Dept Family & Community Med, Sch Med, 1402 South Grand Blvd, St Louis, MO 63103 USA
[2] St Louis Univ, Sch Med, Dept Psychiat & Behav Neurosci, St Louis, MO 63103 USA
[3] St Louis Univ, AHEAD Inst, Sch Med, 1402 South Grand Blvd, St Louis, MO 63103 USA
[4] Boston Univ, Sch Med, Clin Addict Res & Educ Unit, Sect Gen Internal Med, Boston, MA USA
[5] Boston Univ, Boston Med Ctr, Boston, MA USA
关键词
Opioids; Opioid use disorder; Administrative data; Validity;
D O I
10.1186/s13722-023-00405-x
中图分类号
R194 [卫生标准、卫生检查、医药管理];
学科分类号
摘要
Background A valid opioid use disorder (OUD) identification algorithm for use in administrative medical record data would enhance investigators' ability to study consequences of OUD, OUD treatment seeking and treatment outcomes.Main body Existing studies indicate ICD-9 and ICD-10 codes for opioid abuse and dependence do not accurately measure OUD. However, critical appraisal of existing literature suggests alternative validation methods would improve the validity of OUD identification algorithms in administrative data. Chart abstraction may not be sufficient to validate OUD, and primary data collection via structured diagnostic interviews might be an ideal gold standard.Conclusion and commentary Generating valid OUD identification algorithms is critical for OUD research and quality measurement in real world health care settings.
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页数:5
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