Key result
The SF-36v2 mental health and mental component summary scores demonstrated sensitivities of 84.9% and 88.1% and specificities of 77.8% and 76.1% for identifying risk of major depressive disorder.
Why the study?
Can the SF-36v2 mental health and mental component summary scores accurately screen for risk of major depressive disorder in a general US population and a chronic pain subgroup?
Cross-Sectional (n=75,000)
Can the SF-36v2 mental health and mental component summary scores accurately screen for risk of major depressive disorder in a general US population and a chronic pain subgroup?
The SF-36v2 survey demonstrates sufficient sensitivity and specificity to serve as a feasible screening tool for major depressive disorder risk when dedicated depression questionnaires are unavailable.
May support SF-36v2 for MDD risk screening when dedicated tools unavailable; hypothesis-generating and requires prospective validation before practice change.
STUDY OBJECTIVES: To assess the feasibility of using the SF-36v2 mental health (MH) and mental component summary (MCS) scores for classification of risk for major depressive disorder (MDD), and to determine cut-off scores based on the sensitivity and specificity in a general US representative sample, and a chronic pain subpopulation. METHODS: Data were analyzed from the 2013 US National Health and Wellness Survey (adults 18 y old and above; N=75,000), and among a chronic pain subpopulation (n=6679). Risk of MDD was a score ≥10 on the Patient Health Questionnaire (PHQ-9). Logistic regression modeling was used to predict at risk for MDD and receiver operating characteristic curves were produced. RESULTS: The total sample had MH scores of 48.8 and MCS scores of 48.9, similar to the normative US population mean. Percent of respondents with a PHQ-9≥10 were 15.0% and 29.1% for the total sample and chronic pain subpopulation, respectively. Cut-off scores (PHQ-9≥10) in the total sample for the MH and MCS were 43.0 and 46.0, respectively. Specificities for the MH and MCS were 77.8% and 76.1%; sensitivities were 84.9% and 88.1%, respectively. Among the subpopulation with chronic pain, cut-off scores for the MH and MCS were 40.4 and 43.1, respectively. Corresponding specificities for the MH and MCS were 77.9% and 73.9%; sensitivities were 78.3% and 83.4%, respectively. CONCLUSIONS: The SF-36v2 was found to have sufficient specificity and sensitivity to categorize participants at risk for MDD. If no depression questionnaire is available, it is feasible to use the SF-36v2 to characterize the MH of populations.
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Bell et al. (2016) conducted a cross-sectional in Major Depressive Disorder (n=75,000). SF-36v2 Health Survey (MH and MCS scores) vs. PHQ-9 score ≥10 was evaluated on Risk of major depressive disorder (PHQ-9 ≥10). The SF-36v2 mental health and mental component summary scores demonstrated sensitivities of 84.9% and 88.1% and specificities of 77.8% and 76.1% for identifying risk of major depressive disorder.
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