Dataset Information

The Hospital Anxiety and Depression Scale (HADS) applied to Ethiopian cancer patients.

ABSTRACT: Psychological distress is a common problem associated with cancer. The main objective of the present study was to test the Hospital Anxiety and Depression Scale (HADS) in a sample of Ethiopian cancer patients and to compare the results with those obtained from a sample in Germany. Data were collected from 256 cancer patients who visited the University of Gondar Hospital between January 2019 and June 2019 using the HADS, the European Organization for Research and Treatment of Cancer Quality of Life questionnaire (EORTC QLQ-C30), and the Multidimensional Fatigue Inventory MFI-20. The reliability of the HADS was good, with Cronbach's ? coefficients of 0.86 (anxiety), 0.85 (depression), and 0.91 (total scale). The Ethiopian cancer patients were more anxious (M = 7.9) and more depressed (M = 9.3) than the German patients (M = 6.8 for anxiety and M = 5.5 for depression). Only a weak level of measurement invariance was detected between the Ethiopian and the German sample. In the Ethiopian sample, anxiety and depression were associated with tumor stage (high levels in stage 4) and treatment (high levels for patients not receiving surgery and chemotherapy). Both anxiety and depression were significantly associated with all of the EORTC QLQ-C30 and MFI-20 scales. The HADS proved to be applicable for use with Ethiopian cancer patients. The high level of anxiety and depression present in that group indicates a need for psychosocial care.

SUBMITTER: Wondie Y

PROVIDER: S-EPMC7714130 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Hospital Anxiety and Depression Scale (HADS) applied to Ethiopian cancer patients.

Wondie Yemataw Y Mehnert Anja A Hinz Andreas A

PloS one 20201203 12

Psychological distress is a common problem associated with cancer. The main objective of the present study was to test the Hospital Anxiety and Depression Scale (HADS) in a sample of Ethiopian cancer patients and to compare the results with those obtained from a sample in Germany. Data were collected from 256 cancer patients who visited the University of Gondar Hospital between January 2019 and June 2019 using the HADS, the European Organization for Research and Treatment of Cancer Quality of Li ...[more]

PMID: 33270779

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: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.

Project description:ContextThe Hospital Anxiety and Depression Scale (HADS) is a brief self-report measure commonly used to screen for symptoms of anxiety and depression in cancer patients. The HADS has demonstrated validity in over 100 languages, including Spanish. However, validation studies have largely used European Spanish-speaking samples with a variety of medical diagnoses.ObjectivesThe aim of this study was to examine the psychometric properties of the Spanish version of the HADS in a sample of Spanish-speaking Latina women with cancer in the U.S.MethodsParticipants (N = 242) completed self-report measures of anxiety and depression (HADS), quality of life (Functional Assessment of Cancer Therapy-General Version), cancer-related distress (Impact of Events Scale-Revised Version Intrusion Subscale), and cancer symptomatology (Memorial Symptom Assessment Scale-Short Form) before initiating chemotherapy and five to seven weeks later. Analyses evaluated internal consistency and test-retest reliability, construct validity, and convergent validity.ResultsFactor analysis supported a two-factor structure as proposed by the original HADS developers (X2 [76, N = 242] = 143.3, P < 0.001, comparative fit index = 0.94, root-mean-square error of approximation = 0.06, and standardized root-mean-square residual = 0.06). The HADS and its subscales demonstrated good internal consistency (α = 0.83-0.88) and test-retest reliability (intraclass correlation coefficient = 0.76-0.82). Construct validity was evidenced by factor analysis and item-subscale, item-total, and subscale-total correlations. Convergent validity was demonstrated by strong positive correlations with cancer-related distress (r = 0.51-0.71) and symptom severity (r = 0.54-0.62) and strong negative correlations with quality of life (r = -0.63 to -0.76) (all P's < 0.001).ConclusionThe Spanish version of the HADS evidenced sound psychometric properties in Latinas with cancer in the U.S., supporting its use in clinical oncology research and practice.

Project description:BACKGROUND:Anxiety and depression symptoms are common among cardiac patients. The Hospital Anxiety and Depression Scale (HADS) is frequently used to measure symptoms of anxiety and depression; however, no study on the validity and reliability of the scale in Danish cardiac patients has been done. The aim, therefore, was to evaluate the psychometric properties of HADS in a large sample of Danish patients with the four most common cardiac diagnoses: ischemic heart disease, arrhythmias, heart failure and heart valve disease. METHODS:The DenHeart study was designed as a national cross-sectional survey including the HADS, SF-12 and HeartQoL and combined with data from national registers. Psychometric evaluation included analyses of floor and ceiling effects, structural validity using both exploratory and confirmatory factor analysis and hypotheses testing of convergent and divergent validity by relating the HADS scores to the SF-12 and HeartQoL. Internal consistency reliability was evaluated by Cronbach's alpha, and differential item functioning by gender was examined using ordinal logistic regression. RESULTS:A total of 12,806 patients (response rate 51%) answered the HADS. Exploratory factor analysis supported the original two-factor structure of the HADS, while confirmatory factor analysis supported a three-factor structure consisting of the original depression subscale and two anxiety subscales as suggested in a previous study. There were floor effects on all items and ceiling effect on item 8. The hypotheses regarding convergent validity were confirmed but those regarding divergent validity for HADS-D were not. Internal consistency was good with a Cronbach's alpha of 0.87 for HADS-A and 0.82 for HADS-D. There were no indications of noticeable differential item functioning by gender for any items. CONCLUSIONS:The present study supported the evidence of convergent validity and high internal consistency for both HADS outcomes in a large sample of Danish patients with cardiac disease. There are, however, conflicting results regarding the factor structure of the scale consistent with previous research. TRIAL REGISTRATION:ClinicalTrials.gov: NCT01926145.

Dataset Information

The Hospital Anxiety and Depression Scale (HADS) applied to Ethiopian cancer patients.

Publications

The Hospital Anxiety and Depression Scale (HADS) applied to Ethiopian cancer patients.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets