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01.12.2012 | Research article | Ausgabe 1/2012 Open Access

BMC Health Services Research 1/2012

Validation of key behaviourally based mental health diagnoses in administrative data: suicide attempt, alcohol abuse, illicit drug abuse and tobacco use

BMC Health Services Research > Ausgabe 1/2012
Hyungjin Myra Kim, Eric G Smith, Claire M Stano, Dara Ganoczy, Kara Zivin, Heather Walters, Marcia Valenstein
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​1472-6963-12-18) contains supplementary material, which is available to authorized users.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

HMK was involved in study design, statistical analysis and writing and editing of the manuscript. EGS participated in the writing. CMS participated in the design of the study, abstracted the charts and contributed to interpretation of data. DG participated in the study design, obtained the administrative data and was involved in editing of the manuscript. KZ participated in the study design and the editing of the manuscript. HW participated in the design of the study, abstracted the charts and contributed to interpretation of data. MV was involved in study design, and writing and editing of the manuscript. All authors read and approved the final manuscript.



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, 9 th 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").


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.


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.


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.
Additional File 1: International Classification of Diseases, Ninth Revision, clinical modification(ICD-9-CM) diagnoses codes used for determining presence of the administrative data based diagnoses. (PDF 101 KB)
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