Case identification of depression in patients with chronic physical health problems: A diagnostic accuracy meta-analysis of 113 studies

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Abstract

Background: Depression is more likely in patients with chronic physical illness, and is associated with increased rates of disability and mortality. Effective treatment of depressionmay reduce morbidity andmortality. The use of two stem questions for case finding in diabetes and coronary heart disease is advocated in the Quality and Outcomes Framework, and has become normalised into primary care. Aim: To define themost effective tool for use in consultations to detect depression in people with chronic physical illness. Design: Meta-analysis. Method: The following data sources were searched: CENTRAL, CINAHL, Embase, HMIC, MEDLINE, PsycINFO, Web of Knowledge, from inception to July 2009. Three authors selected studies that examined identification tools and used an interview-based ICD (International Classification of Diseases) or DSM (Diagnostic and statistical Manual of Mental Disorders) diagnosis of depression as reference standard. At least two authors independently extracted study characteristics and outcome data and assessed methodological quality. Results: A total of 113 studies met the eligibility criteria, providing data on 20 826 participants. It was found that two stemquestions, PHQ-9 (Patient Health Questionnaire), the Zung, and GHQ-28 (General Health Questionnaire) were the optimal measures for case identification, but nomethod was sufficiently accurate to recommend as a definitive case-finding tool. Limitations were the moderate-to-high heterogeneity formost scales and the facts that few studies used ICD diagnoses as the reference standard, and that a variety ofmethods were used to determine DSM diagnoses. Conclusion: Assessing both validity and ease of use, the two stemquestions are the preferred method. However, clinicians should not rely on the two-questions approach alone, but should be confident to engage in amore detailed clinical assessment of patients who score positively. © British Journal of General Practice.

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APA

Meader, N., Mitchell, A. J., Chew-Graham, C., Goldberg, D., Rizzo, M., Bird, V., … Pilling, S. (2011). Case identification of depression in patients with chronic physical health problems: A diagnostic accuracy meta-analysis of 113 studies. British Journal of General Practice, 61(593). https://doi.org/10.3399/bjgp11X613151

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