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).

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.

Post-stroke emotionalism: a qualitative investigation

Introduction: Post-stroke emotionalism, outbursts of involuntary crying or laughing, is common after stroke. Little is known about the psychosocial factors associated with this neurological disorder.Aim: To investigate participant's experiences of emotionalism and explore how they managed their symptoms.Methods: A qualitative study that used framework analysis. Participants were recruited across inpatient and outpatient stroke settings. The average time since stroke was 4.3 months.Results: Eighteen semi-structured interviews were conducted. Four themes were identified: (1) Spontaneous and uncontrollable emotional reactions; (2) Incongruence; (3) Social reactions (sub-theme: The stigma of expressed emotions) and (4) Convalescence. Participants with negative experiences described greater disability, avoidance and mood problems. Positive experiences were shaped by a better understanding of the condition, an increased sense of control, social support and optimism. Few participants knew that their emotionalism was caused by stroke. Embarrassment and social withdrawal were commonly reported and had a detrimental effect on participant's mood and quality of life.Conclusions: Earlier recognition of emotionalism in clinical settings is needed as is promoting discussions about emotional reactions after-stroke. This will reduce the likelihood that patients will develop erroneous beliefs about emotionalism and unhelpful coping responses that may lead to adjustment difficulties in the months that follow their stroke.Implications for rehabilitationThe unpredictable and uncontrollable nature of emotionalism can be embarrassing and cause social withdrawal or avoidance.Waiting for emotionalism episodes to pass, distraction, humor or optimism and social support are successful means of managing the condition.Professionals play a key role in raising awareness that emotionalism is a neurological condition and not a clinical mood disorder as this will promote better understanding for patients, their families and those around them.Encouraging patients to talk about their emotional reactions early after stroke will normalize their experiences and may prevent them from developing unhelpful beliefs that could affect their approach to recovery.

Negative attitudes among short-term stroke survivors predict worse long-term survival

BACKGROUND AND PURPOSE

Patients respond to serious illness in different ways. We wished to determine whether different attitudes toward illness are associated with survival after stroke.

METHODS

Three hundred seventy-two stroke patients were identified and medically assessed as part of a randomized trial to evaluate a stroke family care worker. They had all survived 6 months from randomization. A research psychologist visited each patient and administered the Mental Adjustment to Stroke Scale (a self-rated attitude scale based on the Mental Adjustment to Cancer Scale). Disability and dependence (Barthel Index, modified Rankin Scale) and mood (Hospital Anxiety and Depression Scale, General Health Questionnaire 30) were also assessed. Patients were followed up in 1998 (3 to 5 years after the initial stroke) to establish their survival. We modeled the relationship between Mental Adjustment to Stroke scores and survival, adjusting for other factors associated with stroke survival.

RESULTS

Eighty-two patients (22%) died within 3 years. After adjustment for other significant factors, fatalism and helplessness/hopelessness were both associated with decreased survival (P=0.03 and 0.04, respectively), but fighting spirit, anxious preoccupation, and denial/avoidance were not. Mood was not associated with survival.

CONCLUSIONS

Patients' attitudes toward their illness seem to be associated with survival after stroke. Patients who feel that there is nothing they can do to help themselves 6 months after a stroke have a shorter survival. These findings need to be confirmed and any causal relationship between attitude and survival further explored in a randomized controlled trial to "improve" the attitude of stroke patients toward their illness.

Depression and its relation to lesion location after stroke

The study of discrete organic cerebral lesions resulting in clearly definable psychiatric disorders may provide an understanding of the underlying pathophysiological basis of these disorders. However, the relation between lesion location and psychiatric illness after stroke remains unclear. Fifty five patients referred to hospital were identified who had a single lesion on CT which was consistent with their neurological presentation and who did not have evidence of a persistent affective disorder at the time of the stroke. Six months after stroke standardised psychiatric assessment disclosed that 26% of the patients met DSM-IV criteria for an anxiety or depressive disorder, with depression the most common diagnosis (20%). Pathological emotionalism was diagnosed in 18% of patients, particularly those who were depressed (p<0.0001). Depression was significantly associated with larger lesions involving the right cerebral hemisphere (p=0.01). The importance of depression as a consequence of stroke has been clarified by the studies in this area. However, wide confidence intervals support the possibility that significant results may be due to chance. A systematic review of these studies is now needed if a consensus is to be reached.