Screening for anxiety and depression after stroke: Comparison of the Hospital Anxiety and Depression Scale and the Montgomery and Åsberg Depression Rating Scale

Objective

Anxiety and depression after stroke are frequent, but are often overlooked and not assessed. The aims of the study were to (1) assess the prevalence of anxiety and depression and (2) compare the performance of the Hospital Anxiety and Depression Scale (HADS) and Montgomery and Åsberg Depression Rating Scale (MADRS) as screening instruments for anxiety and depression disorders 4 months after stroke.

Methods

Stroke patients, consecutively admitted to a stroke unit, were assessed with HADS and MADRS 4 months after stroke (n=104). Depression and anxiety disorders were diagnosed using the Structured Clinical Interview for DSM-IV (SCID). Measures were compared in terms of correlations, sensitivity, specificity, positive and negative predictive value, overall agreement, kappa, and ROC curves, using DSM-IV diagnoses of “at least one current significant anxiety disorder” (Anxiety) and “any current depression” (Depression), as the clinical criteria.

Results

Anxiety occurred in 23% of patients and Depression in 19% (13% major depression, 3% minor depression, 4% dysthymia). For Anxiety, the optimal screening cut-off was 4 for HADS-A and 6 for HADS-total; for Depression, optimal cut-offs were 4 for HADS-D, 11 for HADS-total, and 8 for MADRS. At cut-offs commonly used in clinical practice for depression screening (HADS-D: 8, MADRS: 12), the MADRS performed marginally better than the HADS.

Conclusion

Anxiety is as prevalent as depression 4 months after stroke. MADRS and HADS-D perform acceptably as screening instruments for depression, and HADS-A for anxiety after stroke. However, lower HADS cut-offs than recommended for the general population should be considered for stroke patients.     

Screening for anxiety and depression in dialysis patients: comparison of the Hospital Anxiety and Depression Scale and the Beck Depression Inventory

ObjectiveAlthough anxiety and depression are frequent comorbid disorders in dialysis patients, they remain underrecognized and often untreated. The aim of the study was to evaluate the Hospital Anxiety and Depression Scale (HADS), the Beck Depression Inventory (BDI) and a truncated version of the BDI, the Cognitive Depression Index (CDI), as screening tools for anxiety and depression in dialysis patients.MethodsA total of 109 participants (69.7% males), from four dialysis centers, completed the self-report symptom scales HADS and BDI. Depression and anxiety disorders were diagnosed with the Structured Clinical Interview for DSM-IV Axis I disorders (SCID-I). The sensitivity, specificity, positive and negative predictive value, overall agreement, kappa and receiver operating characteristic (ROC) curves were assessed.ResultsDepressive disorders were found in 22% of the patients based on the SCID-I, while anxiety disorders occurred in 17%. The optimal screening cut-off score for depression was ≥7 for the HADS depression subscale (HADS-D), ≥14 for the HADS-total, ≥11 for the CDI and ≥17 for the BDI. The optimal screening cut-off for anxiety was ≥6 for the HADS anxiety subscale (HADS-A) and ≥14 for the HADS-total. At cut-offs commonly used in clinical practice for depression screening (HADS-D: 8; BDI: 16), the BDI performed slightly better than HADS-D.ConclusionThe BDI, CDI and HADS demonstrated acceptable performance as screening tools for depression, as did the HADS-A for anxiety, in our sample of dialysis patients. The recommended cut-off scores for each instrument were: ≥17 for BDI, ≥11 for CDI, ≥7 for HADS depression subscale, ≥6 for HADS anxiety subscale and ≥14 for HADS total. The CDI did not perform better than the BDI in our study. Lower cut-off for the HADS-A than recommended in medically ill patients may be considered when screening for anxiety in dialysis patients.     

Screening for depression in women with metastatic breast cancer: a comparison of the Beck Depression Inventory Short Form and the Hospital Anxiety and Depression Scale

OBJECTIVE: To compare two self-report questionnaires for identifying possible depression in women with metastatic breast cancer. METHOD: We conducted structured psychiatric interviews and administered the Beck Depression Inventory Short Form (BDI-SF) and Hospital Anxiety and Depression Scale (HADS) to 227 women with stage IV breast cancer. The accuracy for identifying DSM-IV-defined major and minor depression was examined. Sensitivity, specificity, positive (PPV) and negative (NPV) predictive values were calculated and receiver operating characteristic curves plotted. RESULTS: Seventy-four (32.6%) patients satisfied DSM-IV criteria for a depressive disorder. With a cut-off of 4, the BDI-SF had a sensitivity of 0.84, specificity of 0.63, and PPV of 0.52. A cut-off of 11 on the HADS-Depression scale (HADS-D) resulted in sensitivity, specificity, and PPV of 0.16, 0.97, and 0.75, respectively. For major depression alone, the BDI-SF with a cut-off of 5 had excellent sensitivity but poor PPV; the HADS, with a cut-off of 7, had weak sensitivity and PPV. CONCLUSIONS: Overall, the two scales perform similarly in identifying major depression, while the BDI-SF is the more useful in screening for DSM-IV major or minor depression categories in this clinical group.     

Validation of the Hospital Anxiety and Depression Scale in patients with epilepsy

ObjectiveDespite the fact that depressive disorders are the most common comorbidities among patients with epilepsy (PWEs), they often go unrecognized and untreated. The availability of validated screening instruments to detect depression in PWEs is limited. The aim of the present study was to validate the Hospital Anxiety and Depression Scale (HADS) in adult PWEs.Methods:A consecutive group of 118 outpatient PWEs was invited to participate in the study. Ninety-six patients met inclusion criteria, completed HADS, and were examined by a trained psychiatrist using Structured Clinical Interview (SCID-I) for DSM-IV-TR. Receiver operating characteristic (ROC) curves were used to determine the optimal threshold scores for the HADS depression subscale (HADS-D).ResultsReceiver operating characteristic analyses showed areas under the curve at approximately 84%. For diagnoses of MDD, the HADS-D demonstrated the best psychometric properties for a cutoff score ≥ 7 with sensitivity of 90.5%, specificity of 70.7%, positive predictive value of 46.3%, and negative predictive value of 96.4%. In the case of the group with ‘any depressive disorder’, the HADS-D optimum cutoff score was ≥ 6 with sensitivity of 82.5%, specificity of 73.2%, positive predictive value of 68.8%, and negative predictive value of 85.4%.ConclusionsThe HADS-D proved to be a valid and reliable psychometric instrument in terms of screening for depressive disorders in PWEs. In the epilepsy setting, HADS-D maintains adequate sensitivity, acceptable specificity, and high NPV but low PPV for diagnosing MDD with an optimum cutoff score ≥ 7.     

Diagnostic accuracy of self-rating scales for screening of depression in coronary artery disease patients

ObjectiveWe evaluated the internal consistency and psychometric properties of the Hospital Anxiety and Depression Scale (HADS) and the Beck Depression Inventory-II (BDI-II) for screening of major depressive episodes (MDE) in coronary artery disease (CAD) patients undergoing rehabilitation.MethodsFive-hundred and twenty-two consecutive CAD patients (72% men; mean age 58 ± 9 years) attending a rehabilitation program 2 weeks after inpatient treatment for acute ischemic cardiac events completed the HADS depression subscale (HADS-D), HADS anxiety subscale (HADS-A) and the BDI-II. Interview outcome using the Mini International Neuropsychiatric Interview (MINI) for current MDE according to the DSM-IV-TR criteria was considered as the gold standard.ResultsFifty-six (11%) patients had a current MDE. The HADS-D, HADS-A, HADS-total and BDI-II had high internal consistency. Area under the ROC curve was the highest for the BDI-II followed by the HADS. Optimal cut-off values for screening of MDE were ≥ 5 for the HADS-D, ≥ 8 for the HADS-A and ≥ 14 for the HADS-total and for the BDI-II. At optimal cut-off values the BDI-II had slightly superior psychometric properties when compared to the HADS. However, positive predictive values were low for the HADS and for the BDI-II.ConclusionsIn CAD patients undergoing rehabilitation, the HADS and BDI-II had high internal consistency. Screening for MDE at optimal cut-off values the BDI-II was slightly superior when compared to the HADS. Positive predictive values for the BDI-II and for the HADS were low indicating that a large proportion of patients with positive screening results did not meet criteria for MDE.     

Short Form 36 and Hospital Anxiety and Depression Scale. A comparison based on patients with testicular cancer

BACKGROUND: The aim of this study was to compare the scorings of anxiety and depression assessed by the Hospital Anxiety and Depression Scale (HADS-A [Anxiety] and HADS-D [Depression]) with the scorings on the eight subscales of Short Form 36 (SF-36) and the Physical (PCS) and Mental Component Summary (MCS) assessed by the same patients. METHOD: In a cross-sectional study 736 long-term survivors after treatment for testicular cancer (TC) completed HADS and SF-36. Pearson's correlation coefficients were calculated on item and scale level to assess the associations between the HADS and the SF-36 scales and, in particular, between HADS and PCS and MCS, respectively. Independent predictors for PCS and MCS were identified by linear regression analysis. RESULTS: HADS-A and HADS-D were significantly associated with the SF-36 summary scales. HADS-A explained 5% of the variance of PCS and 49% of the variance of MCS. The comparable figures for HADS-D were 10% and 45%, respectively. In the multivariate analysis the HADS-D scoring independently predicted the level of PCS together with the patients' educational level, long-lasting working disability and age (variance: 30%). Both HADS-D and HADS-A remained independent parameters for MCS (variance: 58%) together with the patient's civil status. HADS-D item D4 ("slowed down") was similarly associated with both PCS and MCS. CONCLUSION: In univariate analyses HADS-D and HADS-A were statistically associated with PCS and MCS. The highest r values were observed for the associations between HADS and MCS, in particular between HADS-A and MCS. In the multivariate analyses HADS-D, but not HADS-A, contributed to PCS, whereas both HADS-A and HADS-D were associated with MCS. This pattern of different predictions of the summary scales of SF-36 supports a clinical practice that anxiety and depression should be assessed separately. Additional use of a self-rating instrument for depression and anxiety, such as HADS, is recommended when SF-36 is used for quality of life (QL) assessment.     

The validity of the Hospital Anxiety and Depression Scale. An updated literature review

OBJECTIVE: To review the literature of the validity of the Hospital Anxiety and Depression Scale (HADS). METHOD: A review of the 747 identified papers that used HADS was performed to address the following questions: (I) How are the factor structure, discriminant validity and the internal consistency of HADS? (II) How does HADS perform as a case finder for anxiety disorders and depression? (III) How does HADS agree with other self-rating instruments used to rate anxiety and depression? RESULTS: Most factor analyses demonstrated a two-factor solution in good accordance with the HADS subscales for Anxiety (HADS-A) and Depression (HADS-D), respectively. The correlations between the two subscales varied from.40 to.74 (mean.56). Cronbach's alpha for HADS-A varied from.68 to.93 (mean.83) and for HADS-D from.67 to.90 (mean.82). In most studies an optimal balance between sensitivity and specificity was achieved when caseness was defined by a score of 8 or above on both HADS-A and HADS-D. The sensitivity and specificity for both HADS-A and HADS-D of approximately 0.80 were very similar to the sensitivity and specificity achieved by the General Health Questionnaire (GHQ). Correlations between HADS and other commonly used questionnaires were in the range.49 to.83. CONCLUSIONS: HADS was found to perform well in assessing the symptom severity and caseness of anxiety disorders and depression in both somatic, psychiatric and primary care patients and in the general population.     

Anxiety and depression in cancer patients: relation between the Hospital Anxiety and Depression Scale and the European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire

BACKGROUND: The emotional functioning (EF) dimension of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ C33) and the Hospital Anxiety and Depression Scale (HADS) evaluate anxiety and depression. We wanted to compare cancer patients' responses to EF with those to HADS, as well as the impact of anxiety and depression on the quality of life (QL) dimensions of the EORTC QLQ C33. METHOD: A total of 568 cancer patients completed both the EORTC QLQ C33 and HADS at the same occasion. The association between the patients' EF scorings and their HADS scores was analyzed by multiple linear regression. Gender and age were included as covariates. RESULTS: Statistically significant negative relations were found between EF and HADS-A (anxiety), HADS-D (depression) and HADS-T (total score), respectively, with the highest correlation coefficient for HADS-A. Older patients and males reported less emotional distress assessed by the EF scale than younger ones and females with comparable HADS-T or HADS-D scores. Both HADS-A and HADS-D were significantly related to other QL dimensions, and depression was a stronger predictor for reduced QL than anxiety. CONCLUSION: The EF dimension of EORTC QLQ C33 predominantly assesses anxiety, whereas depression is rated to a lesser degree. Combined with significant age and gender relations, this implies a risk of underdiagnosed depression, if the EORTC QLQ C33 is used as the only instrument to screen for psychological distress in cancer patients. As depression has a stronger impact on global QL of cancer patients than anxiety, the use of an additional instrument is recommended for assessment of depression.     

Screening for depression and anxiety disorders in primary care patients

Mood and anxiety disorders are highly prevalent in primary health care. In this study we assessed performance of the Hospital Anxiety and Depression Scale (HADS) for screening of depression and anxiety disorders in a population of primary care patients. A total of 503 primary care patients consecutively admitted to the primary care medical center in Kaunas, Lithuania, completed the study. We found that the HADS subscale of depression (HADS-D) at a cutoff score of 6 or more showed the best performance screening for a major depressive episode diagnosed by means of the Mini International Neuropsychiatric Interview (MINI), with a sensitivity of 80%, specificity of 69%, positive predictive value of 80%, negative predictive value of 92%, and area under the receiver operating characteristic (ROC) curve of 0.75. Performance of the HADS-D against MINI diagnosis of dysthymia was weak. The HADS subscale of anxiety (HADS-A) at a cutoff score of 9 or more showed the best performance screening for MINI diagnosis of overall anxiety disorders, with a sensitivity of 77%, specificity of 75%, positive predictive value of 53%, negative predictive value of 90%, and area under the ROC curve of 0.76. These results suggest that in primary care patients HADS is an adequate screening instrument for the MINI diagnoses of major depressive episode, but not for dysthymia at a cutoff score of 6, and for anxiety disorders at a cutoff score of 9.     

Screening instruments for depression and anxiety following stroke: experience in the Perth community stroke study

Evaluation of the relative efficacy of three screening instruments for depression and anxiety in a group of stroke patients was undertaken as part of the Perth community stroke study. Data are presented on the sensitivity and specificity of the Hospital Anxiety and Depression Scale (HAPS), the Geriatric Depression Scale and the General Health Questionnaire (GHQ) (28-item version) in screening patients 4 months after stroke for depressive and anxiety disorders diagnosed according to DSM-III criteria. The GHQ-28 and GDS but not the HADS depression, were shown to be satisfactory screening instruments for depression, with the GHQ-28 having an overall superiority. The performance of all 3 scales for screening post-stroke anxiety disorders was less satisfactory. The HADS anxiety had the best level of sensitivity, but the specificity and positive predictive values were low and the misclassification rate high.     

The scoring scheme of the informant questionnaire on cognitive decline in the elderly needs revision: results of rasch analysis

The purpose of this study was to examine the optimal scoring scheme (category use), unidimensionality, item fit, and redundancy of the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) in a cohort of Hong Kong Chinese stroke survivors. At 3 months after the index stroke, a research assistant administered the IQCODE to relatives of 284 Chinese patients with acute stroke who were consecutively admitted to a general hospital. A psychiatrist, who was blinded to the IQCODE scores, interviewed all 284 patients and made DSM-IV diagnosis of dementia, which served as the benchmark for judging the performance of IQCODE in screening dementia. The results suggest that the optimal IQCODE scoring scheme has 2 rather than the original 5 categories. Although the IQCODE was unidimensional overall, there was evidence of item redundancy, thus indicating that a shortened version is desirable.     

Depression among cancer patients

Abstract This study was done to investigate the frequency of co-morbidity and to demonstrate the best method for assessing depression among cancer patients. The subjects were 50 (25 male and 25 female) cancer patients and 50 (25 male and 25 female) medically ill patients. All subjects were interviewed by psychiatrists and were administered psychological tests such as SAS (self-rating anxiety scale), SDS (self-rating depression scale), POMS (Profile of Mood States), HADS (Hospital Anxiety and Depression Scale) and DRP (Depression-related personality traits). The psychiatric interview revealed that 44% of cancer patients and 38% of the medical patients had mental disorders according to DSM-IV. The most frequently observed disorder was depression, which was seen in 28% of the cancer patients and 30% of the medical patients. The cancer patients with depression scored significantly higher on the DRP and the Anger mood state of POMS than did the medically ill patients with depression. In addition, most psychological tests employed had no discrimination between depressed and normal subjects among the cancer and the medical patients. However, it was found that the Depression scale in HADS (HADS-D) split depressed patients from normal subjects since the HADS-D was composed of items that were not concerned with physically ill conditions.     

Detecting depression in Chinese stroke patients: a pilot study comparing four screening instruments

OBJECTIVE: To determine which screening instrument is most suitable for detecting depression in Chinese stroke patients. METHOD: A random sample of 60 Chinese subjects recruited from consecutively admitted patients with first-ever stroke to a rehabilitation facility were assessed using the Visual Analogue Mood Scale (VAMS), the Hospital Anxiety and Depression Scale (HADS), and the Geriatric Depression Scale (GDS). Psychiatric diagnoses, which served as a benchmark for the comparison of screening instruments, were made using the SCID-DSM-III-R. Rating instruments were compared with respect to response rate, sensitivity, specificity, positive and negative predictive values, and receiver operating characteristic (ROC) curves. RESULTS: The VAMS was not useful in screening for depression in Chinese stroke patients while both the HADS and the GDS demonstrated satisfactory accuracy in detecting depression in Chinese stroke patients. CONCLUSIONS: Screening instruments for poststroke depression are culture-specific and even scales well established in other cultures should be tested before being used in clinical practice and research.     

Screening post-stroke depression in Chinese older adults using the hospital anxiety and depression scale

Little is known about the performance of the Hospital Anxiety and Depression Scale (HADS) in screening post-stroke depression (PSD) in Chinese older adult patients. One hundred Chinese geriatric patients with first-ever stroke, consecutively admitted to a rehabilitation facility, were assessed by occupational therapists using the depression subscale of the HADS. Psychiatric diagnoses, which served as the benchmark for judging the usefulness of HADS in screening PSD, were made using the Structured Clinical Interview for DSM-III-R (SCID-DSM-III-R) supplemented by all available clinical information. The optimal cut-off point of HADS was 6/7. The sensitivity, specificity, positive and negative predictive value of the HADS, and the area under the receiver operating characteristic curve, were 88%, 53%, 0.28, 0.96 and 0.75, respectively. The HADS does not appear to be a useful tool in screening for PSD in Chinese older adults.     

Cognitive-based measures screening for depression in the medically ill: the DMI-10 and the DMI-18

OBJECTIVE: We suggest that the identification of depression in the medically ill (DMI) might be improved by focussing on cognitive features. METHOD: We recruited 302 patients to complete our provisional cognitive-based measure. Subsets also completed one of two comparator screening measures, either the Hospital and Anxiety Depression Scale (HADS) or the Beck Depression Inventory for Primary Care (BDI-PC). One hundred and sixty patients were then assessed by a psychiatrist who estimated whether they were 'clinically depressed' and who also administered a standardized interview for depression (the CIDI). RESULTS: Analyses identified items discriminating clinically depressed and non-depressed individuals, allowing development of brief (10-item) and extended (18-item) measures. The two new measures were compared with the HADS and the BDI-PC in discriminating depressed and non-depressed medically ill patients. CONCLUSION: A cognitive construct-based approach to assessing depression in the medically ill appears strongly supported. We provide brief (DMI-10) and extended (DMI-18) measures that appear to have utility as screening instruments. Consideration of the discriminating items may also assist clinical decision making.     

Reliability and validity of a Chinese version of the HADS for screening depression and anxiety in psycho-cardiological outpatients

Aim

The Hospital Anxiety and Depression Scale (HADS) has been used widely with cardiovascular patients. This study aims to examine the reliability and validity of a Chinese version of HADS among psycho-cardiological outpatients.

Methods

One hundred psycho-cardiological outpatients were asked to complete the Chinese version of HADS and were then interviewed according to the Mini International Neuropsychiatric Interview, Version 5 (MINI).

Results

According to the MINI, 38 outpatients were diagnosed with major depression and 15 outpatients were diagnosed with an anxiety disorder. Compared with the MINI diagnoses, the optimum cutoff value of the anxiety subscale (HADS-A) was six (6) with a sensitivity of 81.6%, specificity of 75.8%, positive predictive value (PPV) of 54.0% and negative predictive value (NPV) of 91.9%; at the optimum cutoff value of nine (9), the depression subscale (HADS-D) had a sensitivity of 80.0%, specificity of 92.9%, PPV of 52.2% and NPV of 96.1%. The Cronbach's alpha coefficients of the HADS-A and HADS-D subscales were 0.753 and 0.764, respectively. The areas under the ROC curves of the HADS-A and the HADS-D subscales, as compared to MINI diagnoses of anxiety and depression, were 0.81 (SE = 0.05, 95%CI: [0.73, 0.90]) and 0.86 (SE = 0.05, 95%CI: [0.77, 0.94]), respectively.

Conclusions

The HADS was found to be a reliable measurement tool for excluding depression and anxiety in psycho-cardiological outpatients.     

三个常用抑郁量表筛查癫痫患者伴抑郁的比较

目的比较贝克抑郁量表第2版(BDI-Ⅱ)、医院焦虑抑郁量表-抑郁分量表(HADS-D)、流调用抑郁自评量表(CES-D)用于对癫痫患者伴抑郁的筛查。方法采用BDI-Ⅱ、HADS-D、CES-D评价117例癫痫患者的抑郁情况,采用ROC曲线比较HADS-D、BDI-Ⅱ、CES-D的筛查性能。结果癫痫伴抑郁患者共33例。BDI-Ⅱ取临界值16,抑郁筛查的灵敏性和特异性大约都是90%,CES-D取临界值15时灵敏性大于80%,特异性72.6%。HADS-D在临界值9分时灵敏性和特异性均大于80%,而HADS-D临界值7分的敏感性91.3%,特异性76.8%。三个量表的阴性预测值都大于90%,ROC曲线下面积的比较没有统计学差异(均P0.05)。结论 HADS-D是一种对癫痫伴抑郁更简洁、方便有效的筛查工具。     

An evaluation of two self-report screening measures for mood in an out-patient chronic heart failure population

OBJECTIVE: To examine the criterion validity of the Hospital Anxiety and Depression Scale (HADS) and the Geriatric Depression Scale 15-item (GDS-15) in a community sample of Chronic Heart Failure (CHF) out-patients. METHODS: Eighty-eight of 203 older adults with confirmed CHF responded to a postal survey and participated in a face-to-face interview. The GDS-15 and HADS were compared to diagnoses from the Structured Clinical Interview for DSM-IV (SCID-I), using a receiver operating characteristic (ROC) analysis and positive and negative predictive values, sensitivity and specificity for various cut-off points. RESULTS: For all depressive disorders, the area under the ROC curve for the GDS-15 was 0.883 and a cut-off of 5 gave a sensitivity of 0.818 and a specificity of 0.833. The area under the ROC curve for the HADS Depression (D) and Anxiety (A) were 0.889 and 0.941 respectively. At a cut-off of 7, the HADS-A gave a sensitivity of 0.938 and a specificity of 0.847. At a cut-off of 4, the HADS-D gave a sensitivity of 0.864 and a specificity of 0.788. CONCLUSIONS: The GDS-15 and HADS are valid screening tools for detecting depression in aged CHF out-patients. However, use of the HADS requires reduced cut-points to ensure that patients with mood disorder are not missed in this population.     

A psychometric evaluation of the Hospital Anxiety and Depression Scale for the medically hospitalized elderly

Background: Few psychometric studies of the Hospital Anxiety and Depression Scale (HADS) scale have been performed with clinical samples of elderly individuals. Methods: The participants were 484 elderly (65–101 years, 241 men) patients in an acute medical unit. The HADS, the Montgomery–Aasberg Depression Rating Scale (MADRS) and questionnaires assessing quality of life, functional impairment, and cognitive function were used. The psychometric evaluation of the HADS included the following analyses: 1) the internal construct validity by means of principal component analysis followed by an oblique rotation and corrected item–total correlation; 2) the internal consistency reliability by means of the alpha coefficient (Cronbach's) and 3) concurrent validity by means of Spearman's rho. Results: We found a two-factor solution explaining 45% of the variance. Six of seven items loaded adequately (≥0.40) on the HADS-A subscale (item 7 did not) and five of seven items loaded adequately on the HADS-D subscale (items 8 and 10 did not). Cronbach's alpha for the HADS-A and HADS-D subscale was 0.78 and 0.71, respectively. The correlation between HADS-D and the MADRS, a measure of the concurrent validity, was 0.51. Conclusion: The HADS appears to differentiate well between depression and anxiety. The internal consistency of the HADS in a sample of elderly persons was as satisfactory as it is in samples with younger persons. In contrast to younger samples, item 8 (“I feel as if I have slowed down”) did not load adequately on the HADS-D subscale. This may be attributed to the way elderly people experience and describe their symptoms.     

Internet administration of the Hospital Anxiety and Depression Scale in a sample of tinnitus patients

OBJECTIVE: To administer and validate the Hospital Anxiety and Depression Scale (HADS) via the Internet to a sample of persons with tinnitus. METHOD: The HADS was converted into a Web page and administered via the Internet to a sample of 157 persons with tinnitus who were recruited for participation in a treatment trial. Also included were the Tinnitus Reaction Questionnaire (TRQ) and the Anxiety Sensitivity Index (ASI). A clinical comparison sample (n=86) was also recruited who completed the same tests in a paper-and-pencil format. RESULTS: Both the Internet and the paper-and-pencil version yielded comparable results in terms of psychometric properties. When using the cut-off of 11 points suggested by Zigmond and Snaith [Acta Psychiatr. Scand. 67 (1983) 361] a 25% (n=40) prevalence of probable anxiety and a 17% (n=27) prevalence of probable depression were found in the Internet group. In the clinic sample, the prevalence was only 15% for both anxiety and depression, suggesting that Internet administration might result in higher percentages. The HADS correlated with both tinnitus distress and anxiety sensitivity. CONCLUSIONS: Internet administration of the HADS results in meaningful and valid data. Consistent with previous research anxiety and depression are common comorbid conditions in individuals with tinnitus, but norms should be developed for Internet based screening.