Review: Questionnaires for detecting clinical depression in primary care have similar diagnostic accuracyPDF
ACP J Club. 2002 Sep-Oct;137:74. doi:10.7326/ACPJC-2002-137-2-074
Williams JW Jr, Noël PH, Cordes JA, Ramirez G, Pignone M. Is this patient clinically depressed? JAMA. 2002 Mar 6;287:1160-70. [PubMed ID: 11879114] (All 2002 articles were reviewed for relevancy, and abstracts were last revised in 2008.)
In primary care patients, what is the accuracy of questionnaires for diagnosing clinical depression?
Studies were identified by searching MEDLINE and a specialized registry of depression trials (1970 to July 2000).
Published English-language studies were selected if they were done in a primary care setting, administered a case-finding instrument, and obtained a criterion-based diagnosis (e.g., Diagnostic and Statistical Manual of Mental Disorders, 3d edition). The case-finding instrument had to have average literacy requirements, be scored without a calculator, have a depression-specific component, and be evaluated in ≥ 1 study with ≥ 100 patients.
2 reviewers independently extracted data on the instrument, time frame of questions, score range, cut point, literacy level, administration time, ability of the instrument to monitor severity or response, and likelihood ratios. The quality of studies was assessed.
28 studies (25 550 screened patients) with 37 evaluations of 11 questionnaires (1 to 30 items) met the selection criteria. All questionnaires could be self-administered in < 5 minutes. In 9 studies, > 50% of patients did not receive the diagnostic reference standard; 15 studies were rated as high-quality. Scales for detecting major depressive disorder (MDD) did not differ (Table). Heterogeneity was seen among studies assessing the following scales: Beck Depression Inventory, Center for Epidemiologic Studies Depression, Hopkins Symptom Checklist, and Zung Self-Rating Depression Scale.
In primary care patients, questionnaires for detecting clinical depression have similar diagnostic accuracy.
Sources of funding: San Antonio Veterans Affairs Health Services Research and Development Center of Excellence and Agency for Healthcare Quality and Research.
For correspondence: Dr. J.W. Williams Jr., Department of Veterans Affairs Medical Center, Durham, NC, USA. E-mail email@example.com.
Table. Test characteristics of case-finding instruments for major depressive disorder in primary care*
|Instruments||Number of studies||Summary +LR (95% CI)||Summary −LR (CI)|
|Beck Depression Inventory||4†||4.2 (1.2 to 14)||0.17 (0.1 to 0.3)|
|Center for Epidemiologic Studies Depression||10†||3.3 (2.5 to 4.4)||0.24 (0.2 to 0.3)|
|Geriatric Depression Scale||2||3.3 (2.4 to 4.7)||0.16 (0.1 to 0.3)|
|Hopkins Symptom Checklist||2†||3.2 (1.7 to 6.2)||0.24 (0.1 to 0.5)|
|Primary Care Evaluation of Mental Disorders (PRIME-MD)||2||2.7 (2.0 to 3.7)||0.14 (0.1 to 0.3)|
|PRIME-MD Patient Health Questionnaire||1||12 (8.4 to 18)||0.28 (0.2 to 0.5)|
|Symptom Driven Diagnostic System–Primary Care||4||3.5 (2.4 to 5.1)||0.22 (0.1 to 0.4)|
|Zung Self-Rating Depression Scale||4†||3.3 (1.3 to 8.1)||0.35 (0.2 to 0.8)|
|Single Question||1||2.3 (1.8 to 2.9)||0.16 (0.0 to 0.6)|
*Diagnostic terms defined in Glossary.
†Statistically significant heterogeneity existed among studies.
Williams and colleagues offer a rigorous review and synthesis of the test characteristics of various depressive diagnostic survey tools derived from primary care populations. The U.S. Preventive Services Task Force recently published a recommendation for screening patients in primary care (1), so this review is particularly relevant. Evidence suggests that screening for depression can improve outcomes, particularly when coupled with system changes that ensure adequate treatment and follow-up (1).
The synthesis of literature in this study was methodologically sound. It would have been helpful to know the prevalence of MDD in each study because the test characteristics of the tools were derived in “case-finding” screening settings (i.e., low-prevalence settings). The derivation of test characteristics is subject to “disease spectrum bias”; thus, the test characteristics may not behave similarly in cohorts with a higher prevalence of disease (i.e., persons who are stressed or have multiple unexplained physical symptoms).
Health systems that plan on incorporating a systematic tool to assist in the diagnosis and monitoring of patients with MDD will benefit from the analysis by Williams and colleagues (a useful list of Web-based resources to access each tool is provided), and given that the available tools are similar in their diagnostic accuracy, the choice of which tool to use should depend on ease of use and the ability to track disease severity. It appears that the Primary Care Evaluation of Mental Disorders Patient Health Questionnaire fits these needs best. It is limited only by its inability to specifically diagnose dysthymia, a condition known to be responsive to antidepressant therapy. Busy clinicians should also note the accuracy of the Single Question instrument.
We have come a long way in developing tools that help to detect and diagnose MDD in primary care settings, but further work is needed before we can implement these tools practically and efficiently to improve depression outcomes in primary care.
Patrick G. O’Malley, MD, MPH, FACP
Walter Reed Army Medical Center
Washington, D.C., USA
1. Pignone MP, Gaynes BN, Rushton JL, et al. Screening for depression in adults: a summary of the evidence for the U.S. Preventive Services Task Force. Ann Intern Med. 2002;136:765-76. [PubMed ID: 12020146]