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. 2012 Jan 23;12:18.
doi: 10.1186/1472-6963-12-18.

Validation of Key Behaviourally Based Mental Health Diagnoses in Administrative Data: Suicide Attempt, Alcohol Abuse, Illicit Drug Abuse and Tobacco Use

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Free PMC article

Validation of Key Behaviourally Based Mental Health Diagnoses in Administrative Data: Suicide Attempt, Alcohol Abuse, Illicit Drug Abuse and Tobacco Use

Hyungjin Myra Kim et al. BMC Health Serv Res. .
Free PMC article

Abstract

Background: Observational research frequently uses administrative codes for mental health or substance use diagnoses and for important behaviours such as suicide attempts. We sought to validate codes (International Classification of Diseases, 9th edition, clinical modification diagnostic and E-codes) entered in Veterans Health Administration administrative data for patients with depression versus a gold standard of electronic medical record text ("chart notation").

Methods: Three random samples of patients were selected, each stratified by geographic region, gender, and year of cohort entry, from a VHA depression treatment cohort from April 1, 1999 to September 30, 2004. The first sample was selected from patients who died by suicide, the second from patients who remained alive on the date of death of suicide cases, and the third from patients with a new start of a commonly used antidepressant medication. Four variables were assessed using administrative codes in the year prior to the index date: suicide attempt, alcohol abuse/dependence, drug abuse/dependence and tobacco use.

Results: Specificity was high (≥ 90%) for all four administrative codes, regardless of the sample. Sensitivity was ≤75% and was particularly low for suicide attempt (≤ 17%). Positive predictive values for alcohol dependence/abuse and tobacco use were high, but barely better than flipping a coin for illicit drug abuse/dependence. Sensitivity differed across the three samples, but was highest in the suicide death sample.

Conclusions: Administrative data-based diagnoses among VHA records have high specificity, but low sensitivity. The accuracy level varies by different diagnosis and by different patient subgroup.

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References

    1. Goldman LS, Nielsen NH, Champion HC. Awareness, diagnosis, and treatment of depression. J Gen Intern Med. 1999;14:569–580. doi: 10.1046/j.1525-1497.1999.03478.x. - DOI - PMC - PubMed
    1. West SL, Strom BL, Poole C. In: Pharmacoepidemiology. 4. Strom BL, editor. West Sussex, England: John Wily & Sons; 2005. Validity of Pharmacoepidemiologic Drug and Diagnosis Data; pp. 709–766.
    1. Cowper DC, Hynes DM, Kubal JD, Murphy PA. Using administrative databases for outcomes research: Select examples from VA Health Services Research and Development. J Med Syst. 1999;23(3):249–59. doi: 10.1023/A:1020579806511. - DOI - PubMed
    1. Zivin K, Kim HM, McCarthy JF, Austin KL, Hoggatt KJ, Walters HM, Valenstein M. Suicide Mortality Among Individuals Receiving Treatment for Depression in the Veterans Affairs Health System: Associations with Patient and Treatment Setting Characteristics. AJPH. 2007;97(12):2193–8. doi: 10.2105/AJPH.2007.115477. - DOI - PMC - PubMed
    1. Szeto HC, Coleman RK, Gholami P, Hoffman BB, Goldstein MK. Accuracy of computerized outpatient diagnoses in a Veterans Affairs general medicine clinic. Am J Manag Care. 2002;8(1):37–43. - PubMed

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