Case-finding algorithm for post-stroke depression in the veterans health administration

Teresa M. Damush, Huanguang Jia, L. Doug Ried, Haijing Qin, Randi Cameon, Laurie Plue, Linda S. Williams

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Objectives: Post-stroke depression (PSD) is prevalent, often undiagnosed, and undertreated. The accuracy of detecting patients with post-stroke depression in administrative databases has not been examined. The objective was to validate a case-finding algorithm for post-stroke depression (PSD) among veteran stroke survivors. Methods: We conducted a retrospective cohort study of veterans admitted to two local VHA facilities for an inpatient episode of care for acute ischemic stroke. Our cohort included all patients from two medical centers who were identified in the fiscal year (FY) 2001 VHA inpatient database using high specificity stroke ICD-9 codes. FY 2002 VHA and Medicare inpatient, outpatient, and pharmacy data were used to examine the patients' 12-month PSD status by using ICD-9 depression codes and antidepressant use. We assessed our accuracy about patients' PSD from the administrative databases through standardized chart reviews. Results: Of our 185 subject cohort, 50 (27%) were identified as having PSD. The most sensitive case-finding algorithm for PSD included having an ICD-9 code diagnosis for depression or receiving a prescription for an approved-dosage of antidepressant medication. However, the algorithm of receiving an ICD-9 code for primary or secondary diagnoses of depression revealed the largest positive predictive value. Conclusions: A case-finding algorithm using outpatient ICD-9 codes or medication was the most sensitive in identifying cases of PSD. The use of ICD-9 codes alone may be adequate for characterizing a cohort with PSD. Intention for use should be considered when choosing an algorithm to detect PSD.

Original languageEnglish (US)
Pages (from-to)517-522
Number of pages6
JournalInternational Journal of Geriatric Psychiatry
Volume23
Issue number5
DOIs
StatePublished - May 1 2008

Fingerprint

Veterans Health
United States Department of Veterans Affairs
International Classification of Diseases
Stroke
Depression
Inpatients
Veterans
Databases
Antidepressive Agents
Outpatients
Episode of Care
Medicare
Prescriptions

Keywords

  • Administrative databases
  • Case-finding algorithm
  • Depression
  • Stroke
  • Veterans

ASJC Scopus subject areas

  • Geriatrics and Gerontology
  • Psychiatry and Mental health

Cite this

Case-finding algorithm for post-stroke depression in the veterans health administration. / Damush, Teresa M.; Jia, Huanguang; Doug Ried, L.; Qin, Haijing; Cameon, Randi; Plue, Laurie; Williams, Linda S.

In: International Journal of Geriatric Psychiatry, Vol. 23, No. 5, 01.05.2008, p. 517-522.

Research output: Contribution to journalArticle

Damush, Teresa M. ; Jia, Huanguang ; Doug Ried, L. ; Qin, Haijing ; Cameon, Randi ; Plue, Laurie ; Williams, Linda S. / Case-finding algorithm for post-stroke depression in the veterans health administration. In: International Journal of Geriatric Psychiatry. 2008 ; Vol. 23, No. 5. pp. 517-522.
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