Probability of major depression diagnostic classification based on the SCID, CIDI and MINI diagnostic interviews controlling for Hospital Anxiety and Depression Scale - Depression subscale scores: An individual participant data meta-analysis of 73 primary studies

Concepts and Reasoning: a Conceptual Review and Analysis of Logical Issues in Empirical Social Science Research

A substantial number of social science studies have shown a lack of conceptual clarity, inadequate understanding of the nature of the empirical research approaches, and undue preference for deduction, which have caused much confusion, created paradigmatic incommensurability, and impeded scientific advancement. This study, through conceptual review and analysis of canonical discussions of concepts and the reasoning approaches of deduction and induction and their applications in social science theorization by philosophers and social scientists, is purported to unveil the logical nature of empirical research and examine the legitimacy of the preference of deduction among social scientists. The findings note that conceptual clarity as the foundation of social science research, exchange, and replication can be achieved through interdisciplinary stress of conceptual analyses to establish universal measurements and that the primacy of deduction in social sciences needs to concede to or be balanced with induction for new knowledge, more discoveries, and scientific advancement. The study recommends that institutions and researchers of social sciences invest more in conceptual analysis and inductive research through collaboration and separate efforts.

The CRAVE and ARGE scales for motivation states for physical activity and sedentarism: Brazilian Portuguese translation and single-item versions

Motivation states for physical activity and sedentarism potentially vary from moment to moment. The CRAVE scale (Cravings for Rest and Volitional Energy Expenditure) was developed to assess transient wants and desires to move. Three studies were conducted with the aims of: (1) translating and validating the scale in Brazilian Portuguese, (2) examining changes with exercise, and (3) determining the best single-item for Move and Rest subscales for English and Portuguese. In Study 1, six bilingual speakers translated the scale into Brazilian Portuguese [named Anseios por Repouso e Gastos com Energia (ARGE)]. The ARGE had good content validity coefficients across three dimensions (0.89-0.91), as determined by three independent, bilingual referees. 1,168 participants (mean age = 30.6, SD = 12.2) from across Brazil completed an online version of the ARGE. An Exploratory Factor Analysis found two clear, oblique, and inversely related factors (Move and Rest; GFI = 1.00, RMSR = 0.03). Reliability was good (Cronbach α's: 0.93 and 0.92). Two models of the scale (10 vs. 13 items) were compared with Confirmatory Factor Analysis. The previously validated version using 10 scored items (GFI = 1.00, RMSEA = 0.07, RMSR = 0.02) outperformed the version scored with 13 items. State anxiety and exercise behavior had small associations with Move and Rest (-0.20 to 0.26). In Study 2, ARGE Move scores had high correspondence post-session (ICC = 0.83) for 9 women performing short Sprint Interval Training (sSIT; 6 sessions). Large, but non-significant, effects were detected for changes in motivation states with sSIT. In Study 3, IRT analyses found that for the United States sample, "be physically active" and "be still" were the most representative items for Move and Rest, respectively, while for the Brazil sample they were "exert my muscles" and "be a couch potato." Overall, it was found that: (A) the ARGE scale demonstrated good psychometric properties, (B) the original scoring (with 10 items) resulted in the best model, (C) it had small associations with exercise behavior, and (D) the subscales were reduced to single items that varied by country, indicating potential cultural differences in the concept of motivation states for physical activity.

Anxiety and depression in adult cancer patients: ESMO Clinical Practice Guideline

•Anxiety and depressive disorders are common in patients with cancer. •A higher prevalence seen in patients with cancer than the general population is often underrecognised. •Psychotherapy, cognitive behavioural therapy and mindfulness-based therapies are effective treatments. •Psychopharmacological treatments have been shown to be effective treatments of anxiety and depressive disorders.

Individual participant data meta-analysis to compare EPDS accuracy to detect major depression with and without the self-harm item

Item 10 of the Edinburgh Postnatal Depression Scale (EPDS) is intended to assess thoughts of intentional self-harm but may also elicit concerns about accidental self-harm. It does not specifically address suicide ideation but, nonetheless, is sometimes used as an indicator of suicidality. The 9-item version of the EPDS (EPDS-9), which omits item 10, is sometimes used in research due to concern about positive endorsements of item 10 and necessary follow-up. We assessed the equivalence of total score correlations and screening accuracy to detect major depression using the EPDS-9 versus full EPDS among pregnant and postpartum women. We searched Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science from database inception to October 3, 2018 for studies that administered the EPDS and conducted diagnostic classification for major depression based on a validated semi-structured or fully structured interview among women aged 18 or older during pregnancy or within 12 months of giving birth. We conducted an individual participant data meta-analysis. We calculated Pearson correlations with 95% prediction interval (PI) between EPDS-9 and full EPDS total scores using a random effects model. Bivariate random-effects models were fitted to assess screening accuracy. Equivalence tests were done by comparing the confidence intervals (CIs) around the pooled sensitivity and specificity differences to the equivalence margin of δ = 0.05. Individual participant data were obtained from 41 eligible studies (10,906 participants, 1407 major depression cases). The correlation between EPDS-9 and full EPDS scores was 0.998 (95% PI 0.991, 0.999). For sensitivity, the EPDS-9 and full EPDS were equivalent for cut-offs 7-12 (difference range - 0.02, 0.01) and the equivalence was indeterminate for cut-offs 13-15 (all differences - 0.04). For specificity, the EPDS-9 and full EPDS were equivalent for all cut-offs (difference range 0.00, 0.01). The EPDS-9 performs similarly to the full EPDS and can be used when there are concerns about the implications of administering EPDS item 10.Trial registration: The original IPDMA was registered in PROSPERO (CRD42015024785).

Risk factors for mental disorder development in asylum seekers and refugees resettled in Western Europe and Turkey: Participant-level analysis of two large prevention studies

BACKGROUND

In asylum seekers and refugees, the frequency of mental disorders, such as depression, anxiety and post-traumatic stress disorder, is higher than the general population, but there is a lack of data on risk factors for the development of mental disorders in this population.

AIM

This study investigated the risk factors for mental disorder development in a large group of asylum seekers and refugees resettled in high- and middle-income settings.

METHODS

Participant-level data from two randomized prevention studies involving asylum seekers and refugees resettled in Western European countries and in Turkey were pooled. The two studies randomized participants with psychological distress, but without a diagnosis of mental disorder, to the Self-Help Plus psychological intervention or enhanced care as usual. At baseline, exposure to potentially traumatic events was measured using the Harvard Trauma Questionnaire-part I, while psychological distress and depressive symptoms were assessed with the General Health Questionnaire and the Patient Health Questionnaire. After 3 and 6 months of follow-up, the proportion of participants who developed a mental disorder was calculated using the Mini International Neuropsychiatric Interview.

RESULTS

A total of 1,101 participants were included in the analysis. At 3- and 6-month follow-up the observed frequency of mental disorders was 13.51% (115/851) and 24.30% (207/852), respectively, while the frequency estimates after missing data imputation were 13.95% and 23.78%, respectively. After controlling for confounders, logistic regression analysis showed that participants with a lower education level (p = .034), a shorter duration of journey (p = .057) and arriving from countries with war-related contexts (p = .017), were more at risk of developing mental disorders. Psychological distress (p = .004), depression (p = .001) and exposure to potentially traumatic events (p = .020) were predictors of mental disorder development.

CONCLUSIONS

This study identified several risk factors for the development of mental disorders in asylum seekers and refugees, some of which may be the target of risk reduction policies. The identification of asylum seekers and refugees at increased risk of mental disorders should guide the implementation of focused preventative psychological interventions.

External validation of a shortened screening tool using individual participant data meta-analysis: A case study of the Patient Health Questionnaire-Dep-4

Shortened versions of self-reported questionnaires may be used to reduce respondent burden. When shortened screening tools are used, it is desirable to maintain equivalent diagnostic accuracy to full-length forms. This manuscript presents a case study that illustrates how external data and individual participant data meta-analysis can be used to assess the equivalence in diagnostic accuracy between a shortened and full-length form. This case study compares the Patient Health Questionnaire-9 (PHQ-9) and a 4-item shortened version (PHQ-Dep-4) that was previously developed using optimal test assembly methods. Using a large database of 75 primary studies (34,698 participants, 3,392 major depression cases), we evaluated whether the PHQ-Dep-4 cutoff of ≥ 4 maintained equivalent diagnostic accuracy to a PHQ-9 cutoff of ≥ 10. Using this external validation dataset, a PHQ-Dep-4 cutoff of ≥ 4 maximized the sum of sensitivity and specificity, with a sensitivity of 0.88 (95% CI 0.81, 0.93), 0.68 (95% CI 0.56, 0.78), and 0.80 (95% CI 0.73, 0.85) for the semi-structured, fully structured, and MINI reference standard categories, respectively, and a specificity of 0.79 (95% CI 0.74, 0.83), 0.85 (95% CI 0.78, 0.90), and 0.83 (95% CI 0.80, 0.86) for the semi-structured, fully structured, and MINI reference standard categories, respectively. While equivalence with a PHQ-9 cutoff of ≥ 10 was not established, we found the sensitivity of the PHQ-Dep-4 to be non-inferior to that of the PHQ-9, and the specificity of the PHQ-Dep-4 to be marginally smaller than the PHQ-9.

Mental health and working conditions among French medical students: A nationwide study

BACKGROUND

Medical students' mental health is a public health problem that has worsened with COVID 19's pandemic. There is a lack of French data. The principal aim was to assess French medical students' mental health.

METHODS

An online cross-sectional survey was performed between May 27 and June 27, 2021. An anonymous questionnaire was sent via academic email addresses by medical faculties and secondly on social media. We assessed 7-day anxiety and depressive symptoms were evaluated with the Hospitalization Anxiety and Depression scale, 12-month major depressive episode (MDE) with the Composite International Diagnostic Interview- Short Form, burnout with the Maslach Burnout Inventory, 12-month suicidal ideation, humiliation, sexual harassment, and sexual aggression during their curriculum. Multivariable logistic regression was performed to identify main MDE associated factors.

OUTCOMES

11,754 participants (response rate: 15.3%) were included. Prevalence of 7-day anxiety symptoms, 7-day depressive symptoms, 12-month MDE, and 12-month suicidal thoughts were 52%, 18%, 25%, and 19% respectively. Burnout syndrome concerned 67% of clinical students and residents and 39% of preclinical students. Prevalence of humiliation, sexual harassment, and sexual abuse during their curriculum were 23%, 25%, and 4%, respectively. Having important (OR = 1.44, IC 95 [1.31-1.58], p < 0.001) or very important financial issues (OR = 2.47, IC 95 [2.15-2.85], p < 0.001), experienced humiliation (OR = 1.63, IC 95 [1.46-1.81], p < 0.001), sexual harassment (OR = 1.43, IC 95 [1.28-1.59], p < 0.001) and sexual abuse (OR = 1.52, IC 95 [1.24-1.85], p < 0.001) were associated with an increased risk of MDE.

INTERPRETATION

This is the largest study on French medical students' mental health. These results point to very particular conditions in French students environment that need to be addressed to improve their mental health.

Treating Insomnia with High Risk of Depression Using Therapist-Guided Digital Cognitive, Behavioral, and Circadian Rhythm Support Interventions to Prevent Worsening of Depressive Symptoms: A Randomized Controlled Trial

INTRODUCTION

The global disease burden of major depressive disorder urgently requires prevention in high-risk individuals, such as recently discovered insomnia subtypes. Previous studies targeting insomnia with fully automated eHealth interventions to prevent depression are inconclusive: dropout was high and likely biased, and depressive symptoms in untreated participants on average improved rather than worsened.

OBJECTIVE

This randomized controlled trial aimed to efficiently prevent the worsening of depressive symptoms by selecting insomnia subtypes at high risk of depression for internet-based circadian rhythm support (CRS), cognitive behavioral therapy for insomnia (CBT-I), or their combination (CBT-I+CRS), with online therapist guidance to promote adherence.

METHODS

Participants with an insomnia disorder subtype conveying an increased risk of depression (n = 132) were randomized to no treatment (NT), CRS, CBT-I, or CBT-I+CRS. The Inventory of Depressive Symptomatology - Self Report (IDS-SR) was self-administered at baseline and at four follow-ups spanning 1 year.

RESULTS

Without treatment, depressive symptoms indeed worsened (d = 0.28, p = 0.041) in high-risk insomnia, but not in a reference group with low-risk insomnia. Therapist-guided CBT-I and CBT-I+CRS reduced IDS-SR ratings across all follow-up assessments (respectively, d = -0.80, p = 0.001; d = -0.95, p < 0.001). Only CBT-I+CRS reduced the 1-year incidence of clinically meaningful worsening (p = 0.002). Dropout during therapist-guided interventions was very low (8%) compared to previous automated interventions (57-62%).

CONCLUSIONS

The findings tentatively suggest that the efficiency of population-wide preventive strategies could benefit from the possibility to select insomnia subtypes at high risk of developing depression for therapist-guided digital CBT-I+CRS. This treatment may provide effective long-term prevention of worsening of depressive symptoms.

TRIAL REGISTRATION

the Netherlands Trial Register (NL7359).

Development and assessment of a community-based screening tool for mental health disorders among people who inject drugs

INTRODUCTION

The prevalence of mental health disorders among people who use drugs is high and well documented. This hard-to-reach population faces a very low awareness and access to mental health care, especially in developing countries. The objectives of this study were to design and assess a quick screening tool (QST) that community-based organisations (CBO) could routinely apply to a Vietnamese population of people who inject drugs (PWID), in order to refer them appropriately to mental health specialists.

METHODS

We devised a tool that included nine questions covering anxiety, depression, suicide risk and psychotic symptomatology. Its use required no specific background and 2 h training. Specificity and sensitivity of the QST were assessed in a population of 418 PWID recruited via respondent driven sampling, using the Mini International Neuropsychiatric Interview questionnaire plus clinical evaluation as a reference standard. Acceptability was assessed using a self-administered anonymous questionnaire submitted to all CBO members who used the QST.

RESULTS

CBO members considered the QST easy to use, relevant and helpful to deal with mental health issues. Area under the curve for detection of any symptom using the QST was 0.770. The maximum sensitivity and specificity were reached with a cut-off of 2 [sensitivity was 71.1% (95% confidence interval 62.4, 78.8), specificity was 75.9% (70.5, 80.7)].

DISCUSSION AND CONCLUSIONS

The QST appeared to be both efficient and well accepted. Given the burden of mental health problems among hard-to-reach PWID in developing countries, community-based screenings such as this one could be a particularly appropriate response.

Association between Type-D Personality and Affective (Anxiety, Depression, Post-traumatic Stress) Symptoms and Maladaptive Coping in Breast Cancer Patients: A Longitudinal Study

Background:

Type-D (distressed) personality has not been prospectively explored for its association with psychosocial distress symptoms in breast cancer patients.

Objective:

The objective of the study was to test the hypothesis that Type-D personality can be associated with psychosocial distress variables in cancer over a 2-point period (6 month-follow-up).

Aims:

The aim of the study was to analyze the role of Type-D personality in relation to anxiety, depression, post-traumatic stress symptoms, general distress, and maladaptive coping among cancer patients.

Methods:

145 breast cancer patients were assessed within 6 months from diagnosis (T0) and again 6 months later (T1). The Type-D personality Scale, the Hospital Anxiety and Depression Scale, Depression subscale (HAD-D), the Brief Symptom Inventory (BSI-18) Anxiety subscale, the Distress Thermometer (DT), the Post-traumatic Symptoms (PTS) Impact of Event Scale (IES), and the Mini Mental Adjustment to Cancer (Mini-MAC) Anxious Preoccupation and Hopelessness scales were individually administered at T0 and T1.

Results:

One-quarter of cancer patients met the criteria for Type-D personality, which was stable over the follow-up time. The two main constructs of Type-D personality, namely social inhibition (SI) and negative affectivity (NA), were related to anxiety, depression, PTS, BSI-general distress and maladaptive coping (Mini-MAC anxious preoccupation and hopelessness). In regression analysis, Type-D SI was the most significant factor associated with the above-mentioned psychosocial variables, both at T0 and T1.

Conclusion:

Likewise other medical disorders (especially cardiology), Type-D personality has been confirmed to be a construct significantly related to psychosocial distress conditions and maladaptive coping that are usually part of assessment and intervention in cancer care. More attention to personality issues is important in oncology.

A systematic review and meta-analysis of diagnostic test accuracy studies of self-report screening instruments for common mental disorders in Arabic-speaking adults

BACKGROUND

Self-report screening instruments are frequently used as scalable methods to detect common mental disorders (CMDs), but their validity across cultural and linguistic groups is unclear. We summarized the diagnostic accuracy of brief questionnaires on symptoms of depression, anxiety and posttraumatic stress disorder (PTSD) among Arabic-speaking adults.

METHODS

Five databases were searched from inception to 22 January 2021 (PROSPERO: CRD42018070645). Studies were included when diagnostic accuracy of brief (maximally 25 items) psychological questionnaires was assessed in Arabic-speaking populations and the reference standard was a clinical interview. Data on sensitivity/specificity, area under the curve, and data to generate 2 × 2 tables at various thresholds were extracted. Meta-analysis was performed using the diagmeta package in R. Quality of studies was assessed with QUADAS-2.

RESULTS

Thirty-two studies (N participants = 4042) reporting on 17 questionnaires with 5-25 items targeting depression/anxiety (n = 14), general distress (n = 2), and PTSD (n = 1) were included. Seventeen studies (53%) scored high risk on at least two QUADAS-2 domains. The meta-analysis identified an optimal threshold of 11 (sensitivity 76.9%, specificity 85.1%) for the Edinburgh Postnatal Depression Scale (EPDS) (n studies = 7, n participants = 711), 7 (sensitivity 81.9%, specificity 87.6%) for the Hospital Anxiety and Depression Scale (HADS) anxiety subscale and 6 (sensitivity 73.0%, specificity 88.6%) for the depression subscale (n studies = 4, n participants = 492), and 8 (sensitivity 86.0%, specificity 83.9%) for the Self-Reporting Questionnaire (SRQ-20) (n studies = 4, n participants = 459).

CONCLUSION

We present optimal thresholds to screen for perinatal depression with the EPDS, anxiety/depression with the HADS, and CMDs with the SRQ-20. More research on Arabic-language questionnaires, especially those targeting PTSD, is needed.

Cognitive impairment in patients with rheumatoid arthritis: A systematic review and meta-analysis

OBJECTIVE

An increasing number of studies have demonstrated cognitive impairment in patients with rheumatoid arthritis (RA). The literature indicates many factors play an important role in this clinical problem, such as the severity of depressive symptoms and the treatment used. The aim of this study was to systematically review studies comparing cognitive functioning between healthy participants and RA patients and to determine both the severity and potential moderators of cognitive impairment.

METHODS

For this purpose, 16 studies that fulfilled all selection criteria were carefully selected. Altogether, 921 patients with RA (812 women and 109 men) and 700 controls participated in these studies. Due to the inability to perform a network meta-analysis, it was decided to determine the effect sizes for studies which used the same measurement methods.

RESULTS

The analysis demonstrated greater impairment of cognitive functioning in patients with RA than in healthy controls, with effect sizes ranging from small to large, depending on the assessment method used in the study.

CONCLUSIONS

The study pinpoints potential biases, lack of replication, and inconsistencies in reporting data as possible confounding factors and suggests further recommendations for assessment methods, research directions and clinical implications.

CLINICAL TRIAL REGISTRATION

Not applicable.

Accuracy of the Patient Health Questionnaire-9 for screening to detect major depression: updated systematic review and individual participant data meta-analysis

OBJECTIVE

To update a previous individual participant data meta-analysis and determine the accuracy of the Patient Health Questionnaire-9 (PHQ-9), the most commonly used depression screening tool in general practice, for detecting major depression overall and by study or participant subgroups.

DESIGN

Systematic review and individual participant data meta-analysis.

DATA SOURCES

Medline, Medline In-Process, and Other Non-Indexed Citations via Ovid, PsycINFO, Web of Science searched through 9 May 2018.

REVIEW METHODS

Eligible studies administered the PHQ-9 and classified current major depression status using a validated semistructured diagnostic interview (designed for clinician administration), fully structured interview (designed for lay administration), or the Mini International Neuropsychiatric Interview (MINI; a brief interview designed for lay administration). A bivariate random effects meta-analytic model was used to obtain point and interval estimates of pooled PHQ-9 sensitivity and specificity at cut-off values 5-15, separately, among studies that used semistructured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual), fully structured interviews (eg, Composite International Diagnostic Interview), and the MINI. Meta-regression was used to investigate whether PHQ-9 accuracy correlated with reference standard categories and participant characteristics.

RESULTS

Data from 44 503 total participants (27 146 additional from the update) were obtained from 100 of 127 eligible studies (42 additional studies; 79% eligible studies; 86% eligible participants). Among studies with a semistructured interview reference standard, pooled PHQ-9 sensitivity and specificity (95% confidence interval) at the standard cut-off value of ≥10, which maximised combined sensitivity and specificity, were 0.85 (0.79 to 0.89) and 0.85 (0.82 to 0.87), respectively. Specificity was similar across reference standards, but sensitivity in studies with semistructured interviews was 7-24% (median 21%) higher than with fully structured reference standards and 2-14% (median 11%) higher than with the MINI across cut-off values. Across reference standards and cut-off values, specificity was 0-10% (median 3%) higher for men and 0-12 (median 5%) higher for people aged 60 or older.

CONCLUSIONS

Researchers and clinicians could use results to determine outcomes, such as total number of positive screens and false positive screens, at different PHQ-9 cut-off values for different clinical settings using the knowledge translation tool at www.depressionscreening100.com/phq.

STUDY REGISTRATION

PROSPERO CRD42014010673.

Epigenetic prediction of major depressive disorder

Variation in DNA methylation (DNAm) is associated with lifestyle factors such as smoking and body mass index (BMI) but there has been little research exploring its ability to identify individuals with major depressive disorder (MDD). Using penalised regression on genome-wide CpG methylation, we tested whether DNAm risk scores (MRS), trained on 1223 MDD cases and 1824 controls, could discriminate between cases (n = 363) and controls (n = 1417) in an independent sample, comparing their predictive accuracy to polygenic risk scores (PRS). The MRS explained 1.75% of the variance in MDD (β = 0.338, p = 1.17 × 10-7) and remained associated after adjustment for lifestyle factors (β = 0.219, p = 0.001, R2 = 0.68%). When modelled alongside PRS (β = 0.384, p = 4.69 × 10-9) the MRS remained associated with MDD (β = 0.327, p = 5.66 × 10-7). The MRS was also associated with incident cases of MDD who were well at recruitment but went on to develop MDD at a later assessment (β = 0.193, p = 0.016, R2 = 0.52%). Heritability analyses found additive genetic effects explained 22% of variance in the MRS, with a further 19% explained by pedigree-associated genetic effects and 16% by the shared couple environment. Smoking status was also strongly associated with MRS (β = 0.440, p ≤ 2 × 10-16). After removing smokers from the training set, the MRS strongly associated with BMI (β = 0.053, p = 0.021). We tested the association of MRS with 61 behavioural phenotypes and found that whilst PRS were associated with psychosocial and mental health phenotypes, MRS were more strongly associated with lifestyle and sociodemographic factors. DNAm-based risk scores of MDD significantly discriminated MDD cases from controls in an independent dataset and may represent an archive of exposures to lifestyle factors that are relevant to the prediction of MDD.

Validation of the PHQ-9 in adults with dissociative seizures

BACKGROUND

The PHQ-9 is a self-administered depression screening instrument. Little is known about its utility and accuracy in detecting depression in adults with dissociative seizures (DS).

OBJECTIVES

Using the Mini - International Neuropsychiatric Interview as a reference, we evaluated the diagnostic accuracy of the PHQ-9 in adults with DS, and examined its convergent and discriminant validity and uniformity.

METHODS

Our sample comprised 368 people with DS who completed the pre-randomisation assessment of the CODES trial. The uniformity of the PHQ-9 was determined using factor analysis for categorical data. Optimal cut-offs were determined using the area under the curve (AUC), Youden Index, and diagnostic odds ratio (DOR). Convergent and discriminant validity were assessed against pre-randomisation measures.

RESULTS

Internal consistency of the PHQ-9 was high (α = 0.87). While the diagnostic odds ratio suggested that a cut-off of ≥10 had the best predictive performance (DOR = 14.7), specificity at this cut off was only 0.49. AUC (0.74) and Youden Index (0.48) suggested a ≥ 13 cut-off would yield an optimal sensitivity (0.81) and specificity (0.67) balance. However, a cut-off score of ≥20 would be required to match specificity resulting from a cut-off of ≥13 in other medical conditions. We found good convergent and discriminant validity and one main factor for the PHQ-9.

CONCLUSIONS

In terms of internal consistency and structure, our findings were consistent with previous validation studies but indicated that a higher cut-off would be required to identify DS patients with depression with similar specificity achieved with PHQ-9 screening in different clinical and non-clinical populations.

Accuracy of the Hospital Anxiety and Depression Scale Depression subscale (HADS-D) to screen for major depression: systematic review and individual participant data meta-analysis

OBJECTIVE

To evaluate the accuracy of the depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) to screen for major depression among people with physical health problems.

DESIGN

Systematic review and individual participant data meta-analysis.

DATA SOURCES

Medline, Medline In-Process and Other Non-Indexed Citations, PsycInfo, and Web of Science (from inception to 25 October 2018).

REVIEW METHODS

Eligible datasets included HADS-D scores and major depression status based on a validated diagnostic interview. Primary study data and study level data extracted from primary reports were combined. For HADS-D cut-off thresholds of 5-15, a bivariate random effects meta-analysis was used to estimate pooled sensitivity and specificity, separately, in studies that used semi-structured diagnostic interviews (eg, Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders), fully structured interviews (eg, Composite International Diagnostic Interview), and the Mini International Neuropsychiatric Interview. One stage meta-regression was used to examine whether accuracy was associated with reference standard categories and the characteristics of participants. Sensitivity analyses were done to assess whether including published results from studies that did not provide raw data influenced the results.

RESULTS

Individual participant data were obtained from 101 of 168 eligible studies (60%; 25 574 participants (72% of eligible participants), 2549 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of seven or higher for semi-structured interviews, fully structured interviews, and the Mini International Neuropsychiatric Interview. Among studies with a semi-structured interview (57 studies, 10 664 participants, 1048 with major depression), sensitivity and specificity were 0.82 (95% confidence interval 0.76 to 0.87) and 0.78 (0.74 to 0.81) for a cut-off value of seven or higher, 0.74 (0.68 to 0.79) and 0.84 (0.81 to 0.87) for a cut-off value of eight or higher, and 0.44 (0.38 to 0.51) and 0.95 (0.93 to 0.96) for a cut-off value of 11 or higher. Accuracy was similar across reference standards and subgroups and when published results from studies that did not contribute data were included.

CONCLUSIONS

When screening for major depression, a HADS-D cut-off value of seven or higher maximised combined sensitivity and specificity. A cut-off value of eight or higher generated similar combined sensitivity and specificity but was less sensitive and more specific. To identify medically ill patients with depression with the HADS-D, lower cut-off values could be used to avoid false negatives and higher cut-off values to reduce false positives and identify people with higher symptom levels.

TRIAL REGISTRATION

PROSPERO CRD42015016761.

Psychiatric disorders in patients with resistant temporal lobe epilepsy two years after undergoing elective surgery. A longitudinal study

PURPOSE

Psychiatric morbidity in temporal lobe epilepsy (TLE) is frequent and negatively affects patients' life quality. Surgery is the procedure of choice when treating seizures, although the effects on psychiatric disorders remain unclear. We evaluate the effect of surgery on psychiatric disorders in patients with TLE two years after the intervention, to then shed light on how these are related to anxiety and depression symptoms, and Interictal Dysphoric Disorder (IDD).

METHODS

We included data from 65 patients with TLE whose psychiatric evaluations were performed according to DSM-IV criteria. Anxiety and depression symptoms were assessed using the Hospital Anxiety and Depression Scale (HADS) test.

RESULTS

At 2-year follow-up, anxiety and depressive disorders decreased, and psychotic disorders augmented without statistical significance. Baseline psychiatric disorders predisposed to psychiatric pathology at 2-year follow-up and did not correlate with epilepsy outcome after surgery. Postoperative psychiatric disorders correlated with the seizure incidence two years after the intervention, suggesting that epilepsy and psychiatric disorders were associated in processes such as surgery. De novo psychiatric disorders represented 52% of postoperative psychiatric pathology, 62% being psychotic disorders. De novo psychiatric disorders became more frequent from the first year of surgery, occurring mainly in patients free of seizures. The HADS test scores and IDD correlated with psychiatric disorders at 2-year follow-up.

CONCLUSIONS

Baseline psychiatric disorders did not influence surgery outcome, but correlated with psychiatric disorders' prevalence two years after surgery. Despite not finding statistical significance, surgery reduced the prevalence of psychiatric disorders, and de novo psychiatric disorders were associated with an improvement in the epilepsy course at 2-year follow-up.

Shortening the Edinburgh postnatal depression scale using optimal test assembly methods: Development of the EPDS-Dep-5

AIMS

This study used a large database to develop a reliable and valid shortened form of the Edinburgh Postnatal Depression Scale (EPDS), a self-report questionnaire used for depression screening in pregnancy and postpartum, based on objective criteria.

METHODS

Item responses from the 10-item EPDS were obtained from 5157 participants (765 major depression cases) from 22 primary screening accuracy studies that compared the EPDS to the Structured Clinical Interview for DSM (SCID). Unidimensionality of the EPDS latent construct was verified using confirmatory factor analysis, and an item response theory model was fit. Optimal test assembly (OTA) methods identified a maximally informative shortened form for each possible scale length between 1 and 9 items. The final shortened form was selected based on pre-specified validity and reliability criteria and non-inferiority of screening accuracy of the EPDS as compared to the SCID.

RESULTS

A 5-item short form of the EPDS (EPDS-Dep-5) was selected. The EPDS-Dep-5 had a Cronbach's alpha of 0.82. Sensitivity and specificity of the EPDS-Dep-5 for a cutoff of 4 or greater were 0.83 (95% CI, 0.73, 0.89) and 0.86 (95% CI, 0.80, 0.90) and were statistically non-inferior to the EPDS. The correlation of total scores with the full EPDS was high (r = 0.91).

CONCLUSION

The EPDS-Dep-5 is a valid short form with minimal loss of information when compared to the full-length EPDS. The EPDS-Dep-5 was developed with OTA methods using objective, pre-specified criteria, but the approach is data-driven and exploratory. Thus, there is a need to replicate results of this study in different populations.

Depression prevalence based on the Edinburgh Postnatal Depression Scale compared to Structured Clinical Interview for DSM DIsorders classification: Systematic review and individual participant data meta-analysis

OBJECTIVES

Estimates of depression prevalence in pregnancy and postpartum are based on the Edinburgh Postnatal Depression Scale (EPDS) more than on any other method. We aimed to determine if any EPDS cutoff can accurately and consistently estimate depression prevalence in individual studies.

METHODS

We analyzed datasets that compared EPDS scores to Structured Clinical Interview for DSM (SCID) major depression status. Random-effects meta-analysis was used to compare prevalence with EPDS cutoffs versus the SCID.

RESULTS

Seven thousand three hundred and fifteen participants (1017 SCID major depression) from 29 primary studies were included. For EPDS cutoffs used to estimate prevalence in recent studies (≥9 to ≥14), pooled prevalence estimates ranged from 27.8% (95% CI: 22.0%-34.5%) for EPDS ≥ 9 to 9.0% (95% CI: 6.8%-11.9%) for EPDS ≥ 14; pooled SCID major depression prevalence was 9.0% (95% CI: 6.5%-12.3%). EPDS ≥14 provided pooled prevalence closest to SCID-based prevalence but differed from SCID prevalence in individual studies by a mean absolute difference of 5.1% (95% prediction interval: -13.7%, 12.3%).

CONCLUSION

EPDS ≥14 approximated SCID-based prevalence overall, but considerable heterogeneity in individual studies is a barrier to using it for prevalence estimation.

Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis

BACKGROUND

Previous research on the depression scale of the Patient Health Questionnaire (PHQ-9) has found that different latent factor models have maximized empirical measures of goodness-of-fit. The clinical relevance of these differences is unclear. We aimed to investigate whether depression screening accuracy may be improved by employing latent factor model-based scoring rather than sum scores.

METHODS

We used an individual participant data meta-analysis (IPDMA) database compiled to assess the screening accuracy of the PHQ-9. We included studies that used the Structured Clinical Interview for DSM (SCID) as a reference standard and split those into calibration and validation datasets. In the calibration dataset, we estimated unidimensional, two-dimensional (separating cognitive/affective and somatic symptoms of depression), and bi-factor models, and the respective cut-offs to maximize combined sensitivity and specificity. In the validation dataset, we assessed the differences in (combined) sensitivity and specificity between the latent variable approaches and the optimal sum score (⩾10), using bootstrapping to estimate 95% confidence intervals for the differences.

RESULTS

The calibration dataset included 24 studies (4378 participants, 652 major depression cases); the validation dataset 17 studies (4252 participants, 568 cases). In the validation dataset, optimal cut-offs of the unidimensional, two-dimensional, and bi-factor models had higher sensitivity (by 0.036, 0.050, 0.049 points, respectively) but lower specificity (0.017, 0.026, 0.019, respectively) compared to the sum score cut-off of ⩾10.

CONCLUSIONS

In a comprehensive dataset of diagnostic studies, scoring using complex latent variable models do not improve screening accuracy of the PHQ-9 meaningfully as compared to the simple sum score approach.

Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses

INTRODUCTION

Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results.

OBJECTIVE

To compare the odds of the major depression classification based on the SCID, CIDI, and MINI.

METHODS

We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis.

RESULTS

In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80).

CONCLUSIONS

Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.

Overestimation of Postpartum Depression Prevalence Based on a 5-item Version of the EPDS: Systematic Review and Individual Participant Data Meta-analysis

OBJECTIVE

The Maternal Mental Health in Canada, 2018/2019, survey reported that 18% of 7,085 mothers who recently gave birth reported "feelings consistent with postpartum depression" based on scores ≥7 on a 5-item version of the Edinburgh Postpartum Depression Scale (EPDS-5). The EPDS-5 was designed as a screening questionnaire, not to classify disorders or estimate prevalence; the extent to which EPDS-5 results reflect depression prevalence is unknown. We investigated EPDS-5 ≥7 performance relative to major depression prevalence based on a validated diagnostic interview, the Structured Clinical Interview for DSM (SCID).

METHODS

We searched Medline, Medline In-Process & Other Non-Indexed Citations, PsycINFO, and the Web of Science Core Collection through June 2016 for studies with data sets with item response data to calculate EPDS-5 scores and that used the SCID to ascertain depression status. We conducted an individual participant data meta-analysis to estimate pooled percentage of EPDS-5 ≥7, pooled SCID major depression prevalence, and the pooled difference in prevalence.

RESULTS

A total of 3,958 participants from 19 primary studies were included. Pooled prevalence of SCID major depression was 9.2% (95% confidence interval [CI] 6.0% to 13.7%), pooled percentage of participants with EPDS-5 ≥7 was 16.2% (95% CI 10.7% to 23.8%), and pooled difference was 8.0% (95% CI 2.9% to 13.2%). In the 19 included studies, mean and median ratios of EPDS-5 to SCID prevalence were 2.1 and 1.4 times.

CONCLUSIONS

Prevalence estimated based on EPDS-5 ≥7 appears to be substantially higher than the prevalence of major depression. Validated diagnostic interviews should be used to establish prevalence.

Depression prevalence using the HADS-D compared to SCID major depression classification: An individual participant data meta-analysis

OBJECTIVES

Validated diagnostic interviews are required to classify depression status and estimate prevalence of disorder, but screening tools are often used instead. We used individual participant data meta-analysis to compare prevalence based on standard Hospital Anxiety and Depression Scale - depression subscale (HADS-D) cutoffs of ≥8 and ≥11 versus Structured Clinical Interview for DSM (SCID) major depression and determined if an alternative HADS-D cutoff could more accurately estimate prevalence.

METHODS

We searched Medline, Medline In-Process & Other Non-Indexed Citations via Ovid, PsycINFO, and Web of Science (inception-July 11, 2016) for studies comparing HADS-D scores to SCID major depression status. Pooled prevalence and pooled differences in prevalence for HADS-D cutoffs versus SCID major depression were estimated.

RESULTS

6005 participants (689 SCID major depression cases) from 41 primary studies were included. Pooled prevalence was 24.5% (95% Confidence Interval (CI): 20.5%, 29.0%) for HADS-D ≥8, 10.7% (95% CI: 8.3%, 13.8%) for HADS-D ≥11, and 11.6% (95% CI: 9.2%, 14.6%) for SCID major depression. HADS-D ≥11 was closest to SCID major depression prevalence, but the 95% prediction interval for the difference that could be expected for HADS-D ≥11 versus SCID in a new study was -21.1% to 19.5%.

CONCLUSIONS

HADS-D ≥8 substantially overestimates depression prevalence. Of all possible cutoff thresholds, HADS-D ≥11 was closest to the SCID, but there was substantial heterogeneity in the difference between HADS-D ≥11 and SCID-based estimates. HADS-D should not be used as a substitute for a validated diagnostic interview.

Accuracy of the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression among pregnant and postpartum women: systematic review and meta-analysis of individual participant data

OBJECTIVE

To evaluate the Edinburgh Postnatal Depression Scale (EPDS) for screening to detect major depression in pregnant and postpartum women.

DESIGN

Individual participant data meta-analysis.

DATA SOURCES

Medline, Medline In-Process and Other Non-Indexed Citations, PsycINFO, and Web of Science (from inception to 3 October 2018).

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Eligible datasets included EPDS scores and major depression classification based on validated diagnostic interviews. Bivariate random effects meta-analysis was used to estimate EPDS sensitivity and specificity compared with semi-structured, fully structured (Mini International Neuropsychiatric Interview (MINI) excluded), and MINI diagnostic interviews separately using individual participant data. One stage meta-regression was used to examine accuracy by reference standard categories and participant characteristics.

RESULTS

Individual participant data were obtained from 58 of 83 eligible studies (70%; 15 557 of 22 788 eligible participants (68%), 2069 with major depression). Combined sensitivity and specificity was maximised at a cut-off value of 11 or higher across reference standards. Among studies with a semi-structured interview (36 studies, 9066 participants, 1330 with major depression), sensitivity and specificity were 0.85 (95% confidence interval 0.79 to 0.90) and 0.84 (0.79 to 0.88) for a cut-off value of 10 or higher, 0.81 (0.75 to 0.87) and 0.88 (0.85 to 0.91) for a cut-off value of 11 or higher, and 0.66 (0.58 to 0.74) and 0.95 (0.92 to 0.96) for a cut-off value of 13 or higher, respectively. Accuracy was similar across reference standards and subgroups, including for pregnant and postpartum women.

CONCLUSIONS

An EPDS cut-off value of 11 or higher maximised combined sensitivity and specificity; a cut-off value of 13 or higher was less sensitive but more specific. To identify pregnant and postpartum women with higher symptom levels, a cut-off of 13 or higher could be used. Lower cut-off values could be used if the intention is to avoid false negatives and identify most patients who meet diagnostic criteria.

REGISTRATION

PROSPERO (CRD42015024785).

Accuracy of the PHQ-2 Alone and in Combination With the PHQ-9 for Screening to Detect Major Depression: Systematic Review and Meta-analysis

IMPORTANCE

The Patient Health Questionnaire depression module (PHQ-9) is a 9-item self-administered instrument used for detecting depression and assessing severity of depression. The Patient Health Questionnaire-2 (PHQ-2) consists of the first 2 items of the PHQ-9 (which assess the frequency of depressed mood and anhedonia) and can be used as a first step to identify patients for evaluation with the full PHQ-9.

OBJECTIVE

To estimate PHQ-2 accuracy alone and combined with the PHQ-9 for detecting major depression.

DATA SOURCES

MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO, and Web of Science (January 2000-May 2018).

STUDY SELECTION

Eligible data sets compared PHQ-2 scores with major depression diagnoses from a validated diagnostic interview.

DATA EXTRACTION AND SYNTHESIS

Individual participant data were synthesized with bivariate random-effects meta-analysis to estimate pooled sensitivity and specificity of the PHQ-2 alone among studies using semistructured, fully structured, or Mini International Neuropsychiatric Interview (MINI) diagnostic interviews separately and in combination with the PHQ-9 vs the PHQ-9 alone for studies that used semistructured interviews. The PHQ-2 score ranges from 0 to 6, and the PHQ-9 score ranges from 0 to 27.

RESULTS

Individual participant data were obtained from 100 of 136 eligible studies (44 318 participants; 4572 with major depression [10%]; mean [SD] age, 49 [17] years; 59% female). Among studies that used semistructured interviews, PHQ-2 sensitivity and specificity (95% CI) were 0.91 (0.88-0.94) and 0.67 (0.64-0.71) for cutoff scores of 2 or greater and 0.72 (0.67-0.77) and 0.85 (0.83-0.87) for cutoff scores of 3 or greater. Sensitivity was significantly greater for semistructured vs fully structured interviews. Specificity was not significantly different across the types of interviews. The area under the receiver operating characteristic curve was 0.88 (0.86-0.89) for semistructured interviews, 0.82 (0.81-0.84) for fully structured interviews, and 0.87 (0.85-0.88) for the MINI. There were no significant subgroup differences. For semistructured interviews, sensitivity for PHQ-2 scores of 2 or greater followed by PHQ-9 scores of 10 or greater (0.82 [0.76-0.86]) was not significantly different than PHQ-9 scores of 10 or greater alone (0.86 [0.80-0.90]); specificity for the combination was significantly but minimally higher (0.87 [0.84-0.89] vs 0.85 [0.82-0.87]). The area under the curve was 0.90 (0.89-0.91). The combination was estimated to reduce the number of participants needing to complete the full PHQ-9 by 57% (56%-58%).

CONCLUSIONS AND RELEVANCE

In an individual participant data meta-analysis of studies that compared PHQ scores with major depression diagnoses, the combination of PHQ-2 (with cutoff ≥2) followed by PHQ-9 (with cutoff ≥10) had similar sensitivity but higher specificity compared with PHQ-9 cutoff scores of 10 or greater alone. Further research is needed to understand the clinical and research value of this combined approach to screening.

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

OBJECTIVES

Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence.

STUDY DESIGN AND SETTING

Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status.

RESULTS

A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%).

CONCLUSION

PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.