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      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

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      1 , 2 , 3 , 1 , 1 , 1 , 1 , 1 , 1 , 4 , 6 , 1 , 2 , 4 , 6 , 9 , DEPRESsion Screening Data (DEPRESSD) HADS Group, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
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          Abstract

          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.

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          Most cited references61

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          Fitting Linear Mixed-Effects Models Usinglme4

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.

              In 2003, the QUADAS tool for systematic reviews of diagnostic accuracy studies was developed. Experience, anecdotal reports, and feedback suggested areas for improvement; therefore, QUADAS-2 was developed. This tool comprises 4 domains: patient selection, index test, reference standard, and flow and timing. Each domain is assessed in terms of risk of bias, and the first 3 domains are also assessed in terms of concerns regarding applicability. Signalling questions are included to help judge risk of bias. The QUADAS-2 tool is applied in 4 phases: summarize the review question, tailor the tool and produce review-specific guidance, construct a flow diagram for the primary study, and judge bias and applicability. This tool will allow for more transparent rating of bias and applicability of primary diagnostic accuracy studies.
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                Author and article information

                Contributors
                Role: postdoctoral research fellow
                Role: postdoctoral research fellow
                Role: research coordinator
                Role: research coordinator
                Role: research coordinator
                Role: research coordinator
                Role: research assistant
                Role: postdoctoral research fellow
                Role: associate professor
                Role: professor
                Journal
                BMJ
                BMJ
                BMJ-UK
                bmj
                The BMJ
                BMJ Publishing Group Ltd.
                0959-8138
                1756-1833
                2021
                10 May 2021
                : 373
                : n972
                Affiliations
                [1 ]Lady Davis Institute for Medical Research, Jewish General Hospital, Montréal, QC, Canada
                [2 ]Department of Psychiatry, McGill University, Montréal, QC, Canada
                [3 ]Centre for Prognosis Research, School of Primary, Community and Social Care Medicine, Keele University, Staffordshire, UK
                [4 ]Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, QC, Canada
                [5 ]Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montréal, QC, Canada
                [6 ]Department of Medicine, McGill University, Montréal, QC, Canada
                [7 ]Department of Psychology, McGill University, Montréal, QC, Canada
                [8 ]Department of Educational and Counselling Psychology, McGill University, Montréal, QC, Canada
                [9 ]Biomedical Ethics Unit, McGill University, Montréal, QC, Canada
                Author notes
                Correspondence to: B D Thombs brett.thombs@ 123456mcgill.ca
                Author information
                http://orcid.org/0000-0002-5644-8432
                Article
                wuy063284
                10.1136/bmj.n972
                8107836
                33972268
                d504c78d-73b1-47c1-bf65-b3bafe48a164
                © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 09 April 2021
                Categories
                Research

                Medicine
                Medicine

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