Key result
Two-question depression screening effectively rules out depression with a ~4% false-negative rate.
Why the study?
Major depression is commonly underdiagnosed in primary care practice and, when accompanied by comorbid medical conditions, is associated with poorer patient compliance, worse outcomes, and increased health care costs.
Answers are grounded in this paper and cite their sources.
May aid efficient depression detection in primary care; cross-sectional data leave outcome validation in cardiovascular populations open.
A 66-year-old obese woman with type II diabetes and a history of myocardial infarction is seen in the clinic for medical follow-up. Her current medication regimen includes metformin, lisinopril, hydrochlorothiazide, aspirin, and lovastatin. Her most recent glycosylated hemoglobin measurement was 10.2%. She admits to variable adherence to her medication regimen, does not regularly monitor her blood glucose levels, maintains a sedentary lifestyle, and does not follow a specific diet. Her blood pressure is 150/94 mm Hg. In the past, both you and your care manager have discussed with the patient the importance of self-care and adherence to treatment regimens. Could depression be contributing to the patient’s lack of success? Depression is one of the most common conditions seen in primary care practice. At any given time, an estimated 4.8% to 8.6% of patients seen by primary care physicians have depression,1 and as many as 12% of men and 25% of women experience an episode of major depressive disorder in their lifetime.2 In the United States, depression accounts for at least $83 billion per year in health care costs and lost work each year.3 Worldwide, depression is the fourth leading cause of disability; and by the year 2020, only one disease—cardiovascular disease—will lead depression in frequency of occurrence.4 Depression is more prevalent in the elderly, in patients with previous episodes of depression, and in many people with comorbid medical conditions (including most of the conditions targeted by the Kaiser Permanente Care Management Institute). When accompanied by other medical conditions, depression is associated with poorer patient compliance and outcomes5,6 and increased health care costs.7 Most primary care patients with mild to moderate major depression can be successfully treated with psychotherapy or antidepressant medication. In cases of severe major depression, treatment with both antidepressants and psychotherapy may be warranted. Nonetheless, major depression is commonly underdiagnosed. Primary care physicians are believed to miss the diagnosis of depression in 50% of their affected primary care patients.1 Most studies on which this conclusion is based are short-term, cross-sectional studies; over longer periods of time, primary care physicians may recognize depression in as many as 86% of the persistently depressed patients seen in clinical practice.8 However, the initial manifestations of depression can be subtle and might not be recognized during routine, often brief, primary care visits focused on physical complaints or conditions (as illustrated in the case presented here). Many office visits may occur before the physician explores the possibility of depression. Untreated depression may lead patients to attempt suicide (and perhaps to succeed at the attempt). Earlier identification of patients with depression can shorten the course of the illness and improve the quality of life for patients and families who must cope with this illness. In 2002, the United States Preventive Services Task Force (USPSTF) recommended that all adults receive screening for major depression on a routine basis, provided that adequate systems are available to ensure adequate treatment and follow-up (grade B recommendation).9 The USPSTF estimated that this systematic screening would add one improved depression outcome at six months for every 110 to 160 patients screened.9 Current evidence is insufficient either to determine the optimal frequency of screening or to formulate a recommendation for or against routine screening of asymptomatic children and adolescents. The likelihood of accurately identifying a disease by screening depends on the sensitivity and specificity of the screening test (ie, rates of false-negative and false-positive test results) and on the prevalence of disease in the population being screened. The higher the pretest probability (actual prevalence) of disease in the target population, the higher the positive predictive value (ie, the more likely a patient with a positive test is to have the disease). Therefore, a sensible approach would be to focus initial screening efforts on populations who have a higher prevalence of depression than in the general population. For example, the estimated prevalence of major depression in diabetic patients ranges from 11% to 32%.10 From a practical standpoint, given the multiple concurrent clinical problems seen in primary care and multiple existing disease treatment programs, leveraging our efforts makes sense by initially focusing depression screening on patients who have comorbid medical conditions addressed currently by other disease management initiatives. A two-question screen (Table 1) has been shown highly sensitive for identifying depressed patients.11,12 Patients who respond “no” to both questions are unlikely to have major depression (the false-negative rate in this situation is 3%–4%). Therefore, unless clinical suspicion for depression is high, patients like the one in our illustrative case usually do not require additional screening after the two-question screen yields a negative result. A “yes” response to one or both questions in the screen indicates possible major depression but has a high (33%–43%) rate of false-positive screen results. Therefore, if patients like the one in our illustrative case screen positive using the two-question screen, confirmatory testing (measured against diagnostic criteria) should be conducted using a validated depression screening instrument or a clinical interview. Instruments developed for depression screening include the Beck Depression Inventory,13 Center for Epidemiologic Studies Depression Scale (CES-D),14 PHQ-9,15 Prime MD,16 Zung Depression scale,17 and others. These tools generally have similar sensitivity (80%–90%) and specificity (70%–80%) in primary care populations.11,18,19 Considerations relevant for choosing a depression screening instrument include literacy level of the patient; ability of the patient to complete the test; time involved and ease of scoring the test; validation of test results against a criterion standard for depression diagnosis; availability and validation of the test in languages other than English; amount of time necessary for completing the test; ability of the test to accurately track both treatment response and severity of illness over time; and cost of administering and scoring the test. Table 1. Two-question screen for major depressive disorder11 For patients who have screened positive for depression, clinicians should consider possible organic and iatrogenic (medication-related) causes of major depression. A full discussion of the differential diagnosis of major depression and its treatment options is beyond the scope of this article; instead, the reader is referred to clinical tools formulated by the Kaiser Permanente Care Management Institute and available at http://cl.kp.org. Targeted use of brief screening tools in patients at increased risk for depression can help primary care clinicians to identify more patients with major depression.9 Involving care managers and other members of the care team may facilitate more systematic identification of depressed patients. This team-based, population-based approach can be easily integrated with other care management programs and can lessen depression-related suffering in our patients and in their families.
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David Brendan Price (2004) conducted a review in Major depressive disorder in primary care patients with comorbid medical conditions. Targeted two-question screening and validated depression screening instruments was evaluated on Identification of major depressive disorder and improved depression outcome. A two-question depression screen has a 3%–4% false-negative rate when negative, while validated follow-up screening tools demonstrate 80%–90% sensitivity and 70%–80% specificity in primary care.
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