Comparison of the accuracy of the 7-item HADS Depression subscale and 14-item total HADS for screening for major depression: A systematic review and individual participant data meta-analysis.

The seven-item Hospital Anxiety and Depression Scale Depression subscale (HADS-D) and the total score of the 14-item HADS (HADS-T) are both used for major depression screening. Compared to the HADS-D, the HADS-T includes anxiety items and requires more time to complete. We compared the screening accuracy of the HADS-D and HADS-T for major depression detection. We conducted an individual participant data meta-analysis and fit bivariate random effects models to assess diagnostic accuracy among participants with both HADS-D and HADS-T scores. We identified optimal cutoffs, estimated sensitivity and specificity with 95% confidence intervals, and compared screening accuracy across paired cutoffs via two-stage and individual-level models. We used a 0.05 equivalence margin to assess equivalency in sensitivity and specificity. 20,700 participants (2,285 major depression cases) from 98 studies were included. Cutoffs of ≥7 for the HADS-D (sensitivity 0.79 [0.75, 0.83], specificity 0.78 [0.75, 0.80]) and ≥15 for the HADS-T (sensitivity 0.79 [0.76, 0.82], specificity 0.81 [0.78, 0.83]) minimized the distance to the top-left corner of the receiver operating characteristic curve. Across all sets of paired cutoffs evaluated, differences of sensitivity between HADS-T and HADS-D ranged from -0.05 to 0.01 (0.00 at paired optimal cutoffs), and differences of specificity were within 0.03 for all cutoffs (0.02-0.03). The pattern was similar among outpatients, although the HADS-T was slightly (not nonequivalently) more specific among inpatients. The accuracy of HADS-T was equivalent to the HADS-D for detecting major depression. In most settings, the shorter HADS-D would be preferred. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Prevalence and factors associated with depression and anxiety in patients with psoriasis.

OBJECTIVE: To identify the prevalence and factors associated with depression and anxiety in patients with psoriasis. BACKGROUND: Psoriasis is a chronic, non-contagious, autoimmune inflammatory skin disease associated with psychological comorbidities. DESIGN: A cross-sectional study conducted between March 2017-December 2018 in a dermatology infirmary and outpatient clinic of a public hospital in the inner State of São Paulo (Brazil). METHODS: We used questionnaires with sociodemographic data and clinical history, the HADS (Hospital Anxiety and Depression Scale), DLQI-BRA (Dermatology Life Quality Index) and PASI (Psoriasis Area Severity Index). The correlations between variables were explored using multivariate techniques. STROBE checklist was applied as the reporting guideline for this study (File S1). RESULTS: A total of 281 participants were included, of which the majority were female 146 (52%), with a mean age of 52.1 years (SD: 13.8), elementary school 154 (55%), married/cohabiting 209 (74%) and with low income 201 (72%). The median (p25-p75) time with the disease was 14 years (7-23). Regarding the quality of life, 31% of respondents reported being little affected by the disease. The prevalence of depression was 19% and that of anxiety was 36%. The multivariate analysis showed that the variables that influenced the anxiety and depression scores were as follows: DLQI-BRA, income, female sex, illness length and age. For the multiple correspondence analysis, the highest levels of anxiety and depression referred to women, middle age, lower income and low PASI. CONCLUSION: The prevalence of anxiety and depression symptoms was low. Female sex, income, age, illness length and quality of life were associated with anxiety and depression scores in patients with psoriasis. RELEVANCE TO CLINICAL PRACTICE: Due to the scarcity of studies in the field of nursing with psoriasis patients, we believe these findings contribute to the reorganisation of the care provided, allowing nurses to timely identify mood disorders such as anxiety and depression and adopt the necessary measures to a service and/or specialised referral.

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.

Discriminant analysis of Beck Depression Inventory and Hamilton Rating Scale for Depression in Huntington's disease.

Depression is common in Huntington's disease, but standard rating scales have doubtful validity in this population. Using data from the European Huntington's Disease REGISTRY study, the authors examined the discriminant value of items on the Beck Depression Inventory (N=843) and the Hamilton Rating Scale for Depression (N=768). Good discriminators of depression, apart from "depressed mood," were "guilt," "loss of interest," and "suicidality." Items that discriminated poorly were "weight loss," "sleep disturbance," "loss of appetite," "psychomotor retardation," "agitation," and "irritability." These findings highlight the limited usefulness of these scales within the area of Huntington's disease.

Validation of self-report depression rating scales in Huntington's disease.

The aim of this study was to assess the criterion validity of three self-report measures of depression in a sample of patients with Huntington's disease (HD). Fifty patients with HD completed the Beck Depression Inventory-II (BDI-II), the Hospital Anxiety and Depression Scale (HADS), and the Depression Intensity Scale Circles (DISCs). Current psychiatric status was assessed using the schedules for clinical assessment in neuropsychiatry (SCAN), and ICD-10 diagnosis was used as the gold standard. Receiver operating characteristics (ROC) curves were obtained and the sensitivity, specificity, positive, and negative predictive values were calculated for different cut-off scores on each rating scale. Twelve patients (24%) met ICD-10 criteria for depressive disorder. The depression sub-scale of the HADS (HADS-D) at an optimal cut-off of 6/7 was found to discriminate maximally between depressed and nondepressed patients in this population. The DISCs at a cut-off of 1/2 also performed well at detecting possible "cases" of depression, whereas the BDI-II performed the least satisfactorily of all scales. The HADS-D and DISCs are good screening measures for depression in the HD population and the DISCs may be particularly useful in those patients with more severe communicative and cognitive deficits.