A diagnostic meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) algorithm scoring method as a screen for depression

Manea, Laura; Gilbody, Simon; McMillan, Dean

doi:10.1016/j.genhosppsych.2014.09.009

Cited by 551 publications

(466 citation statements)

References 45 publications

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“…There was no significant difference between LLMD patients and controls regarding age (depressed, 7168 years vs. controls, 7168 years; z = -0.146, p = 0.884) and gender distribution (depressed, 91% female vs. controls, 86% female; w 2 = 0.790, p = 0.374). As expected, depressed patients scored significantly higher in the GDS-15 (LLMD: median = 11, 25th-75th percentile [8][9][10][11][12][13] ; controls: 1, Figure 1 shows the ROC analysis of the accuracy of GDS-15, PHQ-9, and HDRS-17 to identify a major depressive episode in this sample of older adults without neurocognitive disorders. Sensitivity and specificity were X 90% for all the scales (Table 1).…”

Section: Resultssupporting

confidence: 68%

“…Despite having good sensitivity and specificity for the identification of major depression in young adults, few studies have evaluated its accuracy for identification of LLMD. 9 Similarly, the Hamilton Depression Rating Scale (HDRS) is often employed in the assessment of depressive symptoms in clinical populations, with good sensitivity and specificity to identify major depressive episodes in young adults; however, few studies have addressed the accuracy of the HDRS for LLMD. 10 Because the diagnosis of depression is often overlooked in the elderly, it is essential to have accurate instruments to identify this disorder in clinical practice.…”

Section: Introductionmentioning

confidence: 99%

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Accuracy of three depression screening scales to diagnose major depressive episodes in older adults without neurocognitive disorders

Costa

Diniz

Nascimento

et al. 2016

Rev. Bras. Psiquiatr.

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Objective: To determine the sensitivity and specificity of three depression screening scales to diagnose major depressive episodes in the elderly. Methods: Participants (n=129, 88% female) answered a semi-structured psychiatric interview (Mini International Neuropsychiatric Interview) to determine the diagnosis of major depressive disorder. After this, depressive symptoms in depressed and non-depressed subjects were assessed by independent administration of the 15-item Geriatric Depression Scale (GDS-15), Patient Health Questionnaire-9 (PHQ-9), and 17-item Hamilton Rating Scale for Depression . Results: Patients with major depression and controls did not differ in age and gender distribution. The sensitivity and specificity of all scales to identify a major depressive episode in older adults were X 90%. There were no significant differences between the areas under the curve for PHQ-9 vs. HDRS-17 (z = 1.2, p = 0.2), PHQ-9 vs. GDS-15 (z = 0.26, p = 0.8), or HDRS-17 vs. GDS-15 (z = 1.2, p = 0.2). Conclusion: This study provides evidence supporting the use of PHQ-9 and GDS-15, both of which are simple to administer and easy to interpret, to diagnose major depressive episodes in older adults without neurocognitive disorders.

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Section: Resultssupporting

confidence: 68%

Section: Introductionmentioning

confidence: 99%

Accuracy of three depression screening scales to diagnose major depressive episodes in older adults without neurocognitive disorders

Costa

Diniz

Nascimento

et al. 2016

Rev. Bras. Psiquiatr.

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“…The instrument yields individual scores ranging from 0 to 27, with higher number indicating more severe depressive symptoms. Validation studies of the PHQ-9 have shown the instrument to be internally consistent and highly correlated with clinical diagnosis of MDD (Diez-Quevedo et al, 2001;Löwe et al, 2004;Manea et al, 2015), and it has shown high internal consistency in previous research (α = .84; Eisenberg et al, 2011b) and in the present sample (α = .87). In the current study, we categorized presence of MDD using the cutoff score of PHQ-9 equal to 10, which has been shown to have adequate sensitivity and specificity for diagnosing MDD Manea et al, 2015;Manea et al, 2012).…”

Section: Methodssupporting

confidence: 66%

“…It is possible that our cutoff score of PHQ-9 equal to 10 may have included students with MDD as well as with minor depression. We opted to use this cutoff score because it has shown to be more sensitive to MDD diagnoses than other methods (e.g., the PHQ-9 algorithm; Manea et al, 2015). Third, a response rate of approximately 25% of potential students who answered the survey may have introduced biases into the data.…”

Section: Limitationsmentioning

confidence: 99%

Gender Differences in the Relationships Among Major Depressive Disorder, Heavy Alcohol Use, and Mental Health Treatment Engagement Among College Students

Pedrelli

Borsari

Lipson

et al. 2016

J. Stud. Alcohol Drugs

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ABSTRACT. Objective: Although major depressive disorder (MDD) and heavy episodic drinking (HED, 4+/5+ drinks in a single sitting for women/men) are common among young adults in college, the relationship between the two remains unclear. This study examined the association between MDD and HED in this population, the effect of gender on this association, and whether comorbid MDD and heavy alcohol use are associated with higher rates of mental health treatment engagement. Method: The study comprised 61,561 (65.3% female) undergraduate students who answered an online survey on depression, alcohol use, and treatment engagement in the past year. Hierarchical linear regressions examined the association between MDD and alcohol use (HED and peak blood alcohol concentration [pBAC]) and whether gender moderated these associations. Logistic regressions were then conducted to examine the influence of MDD, heavy alcohol use, and gender on treatment engagement. Results: Students with MDD reported more frequent HED and higher pBAC than did students without MDD; this was especially true for female students. Rates of treatment engagement were higher among women than men, among students with MDD than students without MDD, and among female students with HED than women without HED. Conclusions: The presence of an association between MDD and heavy alcohol use suggests the need for systematic screenings of both conditions. Low rates of treatment engagement in college students with MDD and heavy alcohol use calls for the development of strategies to engage this high-risk group in treatment. (J. Stud. Alcohol Drugs, 77, 620-628, 2016)

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“…A score of at least two (i.e. more than half the days) on a 4-point scale (0–3) is sufficient to qualify as a symptom, with the exception of the suicidal ideation item (counted as a symptom if scored 1 or greater) (Manea, Gilbody, & McMillan, 2015). …”

Section: Resultsmentioning

confidence: 99%

Prevalence and predictors of posttraumatic stress disorder and depressive symptoms among burn survivors two years after the 2015 Formosa Fun Coast Water Park explosion in Taiwan

2018

European Journal of Psychotraumatology

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Background: Posttraumatic stress disorder (PTSD) and depressive symptoms are relatively common in burn survivors. Several previously reported risk factors (e.g. burn severity) have not consistently predicted psychological adjustment post-burn. Empirically-derived risk factors of PTSD from the meta-analysis and theory-derived cognitive variables may be of great predictive value. Objective: This study investigated the prevalence of probable DSM-5 PTSD and major depression (MDD) and the predictors of PTSD and depressive symptoms in burn survivors of the 2015 Formosa Fun Coast Water Park explosion. Three sets of predictors were examined: (a) burn-related variables; (b) empirically-derived risk factors from the meta-analysis; and (c) theory-derived cognitive variables. Method: Participants were 116 burn survivors of the Formosa Fun Coast Water Park explosion. The mean age at the disaster was 22.3 ± 4.2 years; the average total body surface area burned (TBSA) was 49.5%. Results: Of our participants, 12.9 and 20.7% met DSM-5 probable PTSD and MDD two years after the Formosa Fun Coast Water Park explosion. No gender differences were observed. For the prediction of PTSD symptoms post-burn, theory-derived cognitive variables (adjusted R 2 = .562, 95% CI [.423, .638]) performed best and provided significantly better prediction than empirically-derived risk factors from the meta-analysis (adjusted R 2 = .337, 95% CI [.180, .412]) and burn-related variables (adjusted R 2 = .313, 95% CI [.156, .389]). In contrast, the three sets of variables examined provided similar predictions for depressive symptoms post-burn (adjusted R 2 = .267–.295). Random forest regression revealed that theory-derived cognitive variables, particularly negative appraisal of symptoms and maladaptive cognitive coping, were considered the most important predictors of PTSD symptoms post-burn. Conclusion: The prevalence of probable PTSD and MDD were relatively higher in burn survivors. Theory-derived cognitive variables substantially improve predictions for PTSD symptoms post-burn.

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A diagnostic meta-analysis of the Patient Health Questionnaire-9 (PHQ-9) algorithm scoring method as a screen for depression

Cited by 551 publications

References 45 publications

Accuracy of three depression screening scales to diagnose major depressive episodes in older adults without neurocognitive disorders

Accuracy of three depression screening scales to diagnose major depressive episodes in older adults without neurocognitive disorders

Gender Differences in the Relationships Among Major Depressive Disorder, Heavy Alcohol Use, and Mental Health Treatment Engagement Among College Students

Prevalence and predictors of posttraumatic stress disorder and depressive symptoms among burn survivors two years after the 2015 Formosa Fun Coast Water Park explosion in Taiwan

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