Validity of ICD-based algorithms to estimate the prevalence of injection drug use among infective endocarditis hospitalizations in the absence of a reference standard.
Background: International Classification of Diseases (ICD) code algorithms are routinely used to estimate the frequency of illicit injection drug use (IDU)-associated hospitalizations in administrative health datasets despite a lack of evidence regarding their validity. We aimed to measure the sensi...
| Publicado en: | Drug & Alcohol Dependence Vol. 209 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Apr2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142476232&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142476232 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 03768716 3S6 jtl: Drug & Alcohol Dependence issn: 03768716 maglogo: N pubinfo: dt: Apr2020 vid: 209 pid: 1004 pub: Elsevier B.V. artinfo: ui: 142476232 142476232 NLM32145659 142476232 10.1016/j.drugalcdep.2020.107906 NLM32145659 142476232 ppct: 1 formats: tig: atl: Validity of ICD-based algorithms to estimate the prevalence of injection drug use among infective endocarditis hospitalizations in the absence of a reference standard. aug: au: McGrew, Kaitlin M. Carabin, Hélène Garwe, Tabitha Jafarzadeh, S. Reza Williams, Mary B. Zhao, Yan Daniel Drevets, Douglas A. affil: Department of Biostatistics & Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, United States sug: subj: Endocarditis Epidemiology International Classification of Diseases Standards Algorithms Substance Abuse, Intravenous Epidemiology Hospitalization Trends Endocarditis Diagnosis Prevalence Young Adult Reproducibility of Results Human Substance Abuse, Intravenous Diagnosis Probability Cross Sectional Studies Adult Female Middle Age Male Weights and Measures Adolescence Retrospective Design Validation Studies Comparative Studies Evaluation Research Multicenter Studies Adult: 19-44 years Middle Aged: 45-64 years Adolescent: 13-18 years Female Male ab: Background: International Classification of Diseases (ICD) code algorithms are routinely used to estimate the frequency of illicit injection drug use (IDU)-associated hospitalizations in administrative health datasets despite a lack of evidence regarding their validity. We aimed to measure the sensitivity and specificity of ICD code algorithms used to estimate the prevalence of current/recent IDU among infective endocarditis (IE) hospitalizations without a reference standard.Methods: We reviewed medical records of 321 patients aged 18-64 years old from an urban academic hospital with an IE diagnosis between 2007 and 2017. Diagnostic tests for IDU included self-reported IDU in medical records; a drug use, abuse and dependence (UAD) ICD algorithm; a Hepatitis C Virus (HCV) ICD algorithm; and a combination drug UAD/HCV ICD algorithm. Sensitivity, specificity and the misclassification error (ME)-adjusted IDU prevalence were estimated using Bayesian latent class models.Results: The combination algorithm had the highest sensitivity and lowest specificity. Sensitivity increased for the drug UAD algorithm in the ICD-10 period compared to the ICD-9 period. The ME-adjusted current/recent IDU prevalence estimated using the drug UAD and HCV algorithms was 23 % (95 % Bayesian credible interval: 16 %, 31 %). The unadjusted prevalence estimate from the drug UAD algorithm underestimated the ME-adjusted prevalence, while the combination algorithm overestimated it.Conclusion: The validity of ICD code algorithms for IDU among IE hospitalizations is imperfect and differs between ICD-9 and ICD-10. Commonly used ICD-based algorithms could lead to substantially biased prevalence estimates in IDU-associated hospitalizations when using administrative health data. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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