Dataset Information

Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.

ABSTRACT: The Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) has been recommended for depression screening in medically ill patients. Many existing HADS-D studies have used exploratory methods to select optimal cut-offs. Often, these studies report results from a small range of cut-off thresholds; cut-offs with more favourable accuracy results are more likely to be reported than others with worse accuracy estimates. When published data are combined in meta-analyses, selective reporting may generate biased summary estimates. Individual patient data (IPD) meta-analyses can address this problem by estimating accuracy with data from all studies for all relevant cut-off scores. In addition, a predictive algorithm can be generated to estimate the probability that a patient has depression based on a HADS-D score and clinical characteristics rather than dichotomous screening classification alone. The primary objectives of our IPD meta-analyses are to determine the diagnostic accuracy of the HADS-D to detect major depression among adults across all potentially relevant cut-off scores and to generate a predictive algorithm for individual patients. We are already aware of over 100 eligible studies, and more may be identified with our comprehensive search.Data sources will include MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, PsycINFO and Web of Science. Eligible studies will have datasets where patients are assessed for major depression based on a validated structured or semistructured clinical interview and complete the HADS-D within 2 weeks (before or after). Risk of bias will be assessed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Bivariate random-effects meta-analysis will be conducted for the full range of plausible cut-off values, and a predictive algorithm for individual patients will be generated.The findings of this study will be of interest to stakeholders involved in research, clinical practice and policy.

SUBMITTER: Thombs BD

PROVIDER: S-EPMC4838677 | biostudies-other | 2016 Apr

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:ObjectiveTo 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.DesignSystematic review and individual participant data meta-analysis.Data sourcesMedline, Medline In-Process and Other Non-Indexed Citations, PsycInfo, and Web of Science (from inception to 25 October 2018).Review methodsEligible 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.ResultsIndividual 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.ConclusionsWhen 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 registrationPROSPERO CRD42015016761.

Project description:BackgroundThe Hospital Anxiety and Depression Scale (HADS) is one of the most popular measures of anxiety and depression. The original HADS is mostly used in Nigeria precluding people with limited literacy. This study aimed to cross-culturally adapt and psychometrically test the HADS for rural and urban Nigerian Igbo populations with chronic low back pain (CLBP) who have limited literacy.MethodsThe HADS was forward translated, back translated, and appraised. Face and content validity was ensured by pre-testing the translated measure among a convenience sample of twelve rural Nigerian dwellers with CLBP. Reliability utilising Cronbach's alpha, intraclass correlation coefficient, Bland-Altman plots and minimal detectable change were investigated amongst a convenience sample of 50 people living with CLBP in rural and urban Nigerian communities. Construct validity testing involving correlations between Igbo-HADS and Roland Morris Disability Questionnaire measuring self-reported back pain-specific disability, World Health Organisation Disability Assessment Schedule assessing generic self-reported disability, Fear Avoidance Beliefs Questionnaire measuring fear avoidance beliefs, and eleven-point box scale assessing pain intensity, and exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) among a random sample of 200 adults with CLBP in rural Nigerian communities were conducted.ResultsIdioms and colloquialisms were difficult to adapt. Internal consistency was good (α = 0.78) and acceptable (α = 0.67) for anxiety and depression subscales respectively. Intraclass correlation coefficients were very good (ICC ≃ 0.8) for both subscales. Minimal detectable change was 6.23 and 5.06 for anxiety and depression subscales respectively. The Igbo-HADS and the anxiety subscale had strong correlations (≃ 0.7) with generic self-reported disability; moderate correlations (≃ 0.5-0.6) with pain intensity, self-reported back pain-specific disability, and fear avoidance beliefs. The depression subscale had the lowest correlations (≃ 0.3-0.4) with these outcomes. The EFA produced a two-factor structure with cross-loading of items. The CFA showed poor fit indices for the EFA structure, the original two-factor structure, and one-factor structure.ConclusionThe HADS may not be suitable for assessing anxiety and depression, or emotional distress in this population due to difficulty achieving cross-cultural equivalence with western idioms; and the expression of emotional distress through somatisation in this culture.

Dataset Information

Diagnostic accuracy of the Depression subscale of the Hospital Anxiety and Depression Scale (HADS-D) for detecting major depression: protocol for a systematic review and individual patient data meta-analyses.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure