Beck Depression Inventory For Primary Care Research Articles

Screening Instruments for Depression in Advanced Cancer Patients: What Do We Actually Measure?

Patients in a palliative care trajectory frequently suffer from depression. To distinguish depression from normal sadness, the use of screening instruments could facilitate the diagnostic process. However, in palliative care, screening instruments may not discern physical symptom burden from psychological distress, due to the high number of physical symptoms in palliative patients. The aim of this study was to explore physical symptom burden and psychological distress in patients with advanced cancer in relation to scores on screening instruments for depression. Patients with advanced cancer were asked to fill out the Beck Depression Inventory (BDI-II), Beck Depression Inventory Primary Care (BDI-PC), Hospital Anxiety and Depression Scale (HADS), and Memorial Symptom Assessment Scale Short Form (MSAS-SF). The relationship between scores on screening tools for depression and different physical symptom clusters was explored. In the sample of 65 patients, screening instruments for depression correlated highly with different somatic symptom clusters. The BDI-II cognitive subscale was the only scale that was not significantly correlated with any of the somatic symptom clusters. Screening tools for the detection of depression in patients with advanced cancer may not provide an accurate evaluation of depression. These tools seem to measure physical symptom burden as well, especially when patients suffer from symptoms of the clusters fatigue/anorexia/cachexia, neuropsychology, debility, or pain. In this study, the BDI-II cognitive subscale seems to differentiate best from somatic symptom burden.

The Tinnitus Functional Index

Chronic subjective tinnitus is a prevalent condition that causes significant distress to millions of Americans. Effective tinnitus treatments are urgently needed, but evaluating them is hampered by the lack of standardized measures that are validated for both intake assessment and evaluation of treatment outcomes. This work was designed to develop a new self-report questionnaire, the Tinnitus Functional Index (TFI), that would have documented validity both for scaling the severity and negative impact of tinnitus for use in intake assessment and for measuring treatment-related changes in tinnitus (responsiveness) and that would provide comprehensive coverage of multiple tinnitus severity domains. To use preexisting knowledge concerning tinnitus-related problems, an Item Selection Panel (17 expert judges) surveyed the content (175 items) of nine widely used tinnitus questionnaires. From those items, the Panel identified 13 separate domains of tinnitus distress and selected 70 items most likely to be responsive to treatment effects. Eliminating redundant items while retaining good content validity and adding new items to achieve the recommended minimum of 3 to 4 items per domain yielded 43 items, which were then used for constructing TFI Prototype 1.Prototype 1 was tested at five clinics. The 326 participants included consecutive patients receiving tinnitus treatment who provided informed consent-constituting a convenience sample. Construct validity of Prototype 1 as an outcome measure was evaluated by measuring responsiveness of the overall scale and its individual items at 3 and 6 mo follow-up with 65 and 42 participants, respectively. Using a predetermined list of criteria, the 30 best-functioning items were selected for constructing TFI Prototype 2.Prototype 2 was tested at four clinics with 347 participants, including 155 and 86 who provided 3 and 6 mo follow-up data, respectively. Analyses were the same as for Prototype 1. Results were used to select the 25 best-functioning items for the final TFI. Both prototypes and the final TFI displayed strong measurement properties, with few missing data, high validity for scaling of tinnitus severity, and good reliability. All TFI versions exhibited the same eight factors characterizing tinnitus severity and negative impact. Responsiveness, evaluated by computing effect sizes for responses at follow-up, was satisfactory in all TFI versions.In the final TFI, Cronbach's alpha was 0.97 and test-retest reliability 0.78. Convergent validity (r = 0.86 with Tinnitus Handicap Inventory [THI]; r = 0.75 with Visual Analog Scale [VAS]) and discriminant validity (r = 0.56 with Beck Depression Inventory-Primary Care [BDI-PC]) were good. The final TFI was successful at detecting improvement from the initial clinic visit to 3 mo with moderate to large effect sizes and from initial to 6 mo with large effect sizes. Effect sizes for the TFI were generally larger than those obtained for the VAS and THI. After careful evaluation, a 13-point reduction was considered a preliminary criterion for meaningful reduction in TFI outcome scores. The TFI should be useful in both clinical and research settings because of its responsiveness to treatment-related change, validity for scaling the overall severity of tinnitus, and comprehensive coverage of multiple domains of tinnitus severity.

A study of silent disengagement and distressing emotion in psychotherapy

Fifty-two psychotherapy sessions were coded for silences that reflect processes of client disengagement (e.g., withdrawal, resistance). The study examined the presence of these silences and clients' reports of in-session emotion and symptom change. Results indicated that disengagement predicted poorer proximal and distal outcome as measured by the Beck Depression Inventory for Primary Care (BDI-PC) and poorer proximal outcome on the Symptom Checklist-5, but it was not significantly predictive of Outcome Questionnaire-45 scores. Interitem analyses revealed that disengagement had a significant proximal effect on depressive mood and negative self-evaluative items assessed by the BDI-PC, but across time these effects were sustained for the negative self-evaluative items only.

Detecting depression in medically ill patients: Comparative accuracy of four screening questionnaires and physicians' diagnoses in Spanish population

ObjectiveThe purpose of this study is to compare the diagnostic accuracy of four depression screening tools commonly used in patients with medical disorders, relative to a reference diagnostic standard—a structured psychiatric interview. MethodsThe Depression in the Medically Ill-18 (DMI-18) questionnaire was administered to 167 patients with medical disorders; of those, 53 completed the Beck Depression Inventory for Primary Care (BDI-PC), 67 the Hospital Anxiety and Depression Scale (HADS), and 46 the Patient Health Questionnaire-9 (PHQ-9). The entire sample was also interviewed with a structured psychiatric interview conducted by a mental health professional. Sensitivity, specificity, likelihood ratios (LRs), and area under the curve (AUC) were calculated and compared for the different measures. ResultsAt their respective recommended cutoff points, sensitivities [95% confidence interval (CI)] were 86% (70–95), 82% (63–94), 93% (86–97), and 68% (47–85) for the HADS-D, BDI-PC, DMI-18, and PHQ-9, respectively, while specificities ranged from 72% (47–90) for BDI-PC to 89% (72–98) for PHQ-9. The sensitivities of DMI-18 were significantly higher compared to those of HADS-D (P=.045) and PHQ-9 (P=.01). The PHQ-9 questionnaire obtained the most favorable positive LR (6.35; 95% CI, 2.48–18.36). In contrast, the DMI-18 showed the best negative LR (0.09; 95% CI, 0.04–0.18). Areas under the curves (95% CI) ranged from 0.92 (0.83–1.02) to 0.84 (0.74–0.94). Statistically significant differences were found between the AUCs of the DMI-10 and the BDI-PC. ConclusionOur results suggest that all evaluated scales have acceptable abilities and can be used as screening instruments for depression in patients with medical disorders. The DMI stands out for its sensitivity.

Anxiety and depression have no influence on the cancellation and pregnancy rates of a first IVF or ICSI treatment

After many years of research, the impact of psychological distress on the IVF treatment outcome is still unclear. This study aimed to determine the influences of anxiety and depression before and during IVF or ICSI treatment on the cancellation and pregnancy rates of inductees. In a multicentre prospective cohort study, we assessed anxiety and depression at baseline and the procedural anxiety level one day before oocyte retrieval, with the short versions of the State Anxiety Inventory (STAI) and the Beck Depression Inventory-Primary Care (BDI-PC). The effect of baseline anxiety and depression on the cancellation and pregnancy rates of 783 women in their first IVF or ICSI treatment was evaluated. We also determined if a change in anxiety from the start of treatment until just before oocyte retrieval affects the pregnancy rate. The predictive value of distress was assessed while controlling for several factors in subfertility treatment. Neither baseline nor procedural anxiety, nor depression affected the ongoing pregnancy rates, with odds ratios (ORs) of 1.04 (95% CI 0.82-1.33), 0.96 (95% CI 0.77-1.20) and 0.85 (95% CI 0.65-1.10), respectively. Neither did the anxiety gain score affect the pregnancy rate, OR 1.08 (95% CI 0.83-1.41). A cancellation of treatment could not be predicted by either anxiety or depression, OR 1.16 (95% CI 0.83-1.63) and 0.85 (95% CI 0.59-1.22), respectively. Inductees in IVF treatment can be reassured that anxiety and depression levels before and during treatment have no significant influence on the cancellation and pregnancy rates.

Absence from work and emotional stress in women undergoing IVF or ICSI: An analysis of IVF‐related absence from work in women and the contribution of general and emotional factors

To assess productivity losses due to absence from work during in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) treatment and to describe the pattern of IVF-related absence from work. Additionally, the influence of general and psychological variables on IVF-related absence from work was analyzed. Prospective cohort study. Eight IVF hospitals participated in the study. Women undergoing their first treatment with IVF/ICSI. The Health and Labour Questionnaire (HLQ) was used to estimate the costs of IVF-related absence from work (n=384). Diaries were used to collect background information and reasons for IVF-related absence. Psychological data were derived using the Spielberger State and Trait Anxiety Inventory (STAI), the Beck Depression Inventory for Primary Care (BDI-PC) and the Inventory Social Relations and the Illness Cognition Questionnaire. Regression analyses were performed using two models, one without and one with psychological data, to assess the impact of the different variables on IVF-related absence from work. IVF-related absence from work and the costs of productivity losses due to IVF/ICSI per treatment. Overall absence from work during IVF/ICSI treatment was on average 33 hours, of which 23 hours were attributed to IVF/ICSI. Costs of productivity losses due to IVF/ICSI were euro596 per woman. Significant predictors of IVF-related absence from work were the number of hours of paid work, age and self-reported physical and/or emotional problems due to IFV treatment. Women experiencing emotional complaints and women with physical complaints due to IVF/ICSI reported significantly more IVF-related absence from work.

Severe fatigue and related factors in cancer patients before the initiation of treatment

It is generally known that fatigue is a common symptom during cancer treatment, and in cancer survivors. However, fatigue was never studied after diagnosis, before cancer treatment was initiated. This study investigated the prevalence of severe fatigue, and related factors, in cancer patients before the initiation of treatment. One hundred and seventy-nine patients with various malignancies were assessed before start of treatment with curative intention, including the Checklist Individual Strength, Sickness Impact Profile, Beck Depression Inventory Primary Care, Symptom Checklist-90, and six Numeric Rating Scales to measure fatigue, pain and physical activity. To test which factors contributed to severe fatigue a logistic regression analysis was performed. In total 23.5% patients were severely fatigued, varying between diagnoses; prostate cancer (14.3%), breast cancer (20.3%), and gastrointestinal cancer (28.1%). Currently lower physical activity (P=0.013), more depressive mood (P=0.014), impaired sleep and rest during the day and night (P=0.045), and fatigue 1 year before diagnosis (P=0.005) contributed to severe fatigue. Relatively large numbers of cancer patients already experience severe fatigue before initiation of treatment, varying between 14–28%. The factors that contributed to severe fatigue at this stage were physical activity, depressive mood, impaired sleep and rest, and fatigue 1 year before diagnosis.

A Review of Screening Tools for Psychiatric Comorbidity in Headache Patients

Psychiatric comorbidity, especially depression and anxiety, has been well documented in patients with primary headache disorders. The presence of psychiatric comorbidity in headache patients is associated with decreased quality-of-life, poorer prognosis, chronification of disease, poorer response to treatment, and increased medical costs. Despite the prevalence and impact, screening for psychiatric disorders in headache patients is not systematically performed, either clinically or in research studies, and there are no guidelines to suggest which patients should be screened or in what manner. We review a variety of screening methods and instruments, focusing primarily on self-report measures and those available in the public domain. Informal verbal screening may be sufficient in a primary care setting, but should include screening for both anxiety and depression. Explicit screening for anxiety is important, as anxiety may have a more significant impact on headache than does depression and may occur in the absence of clinical depression. Formal screening with instruments that can identify a variety of psychiatric disorders is appropriate for patients with daily headache syndromes, patients who are refractory to usual care, and patients referred for specialty evaluation. Limitations of screening instruments include the influence of transdiagnostic symptoms and the need for confirmatory diagnostic interview. The following instruments appear most suitable for use in headache patients: for depression, the Patient Health Questionnaire Depression Module, the Beck Depression Inventory-II, or the Beck Depression Inventory-Primary Care; for anxiety, the Beck Anxiety Inventory and the Generalized Anxiety Disorder 7-item Scale; and for multidimensional psychiatric screening, the Patient Health Questionnaire or Primary Care Evaluation of Mental Disorders.

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

We suggest that the identification of depression in the medically ill (DMI) might be improved by focussing on cognitive features. 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). 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. 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.

Screening for depression in the medically ill: the suggested utility of a cognitive-based approach.

There is a need for a valid measure of depression in the medically ill, and one that is independent of medical illness characteristics. As yet, there is no such widely accepted measure. We thus report on the early development of such a measure using cognitive constructs that define depressive mood state nuances. We studied 67 patients with a significant medical illness, verbally administering a set of 81 provisional items. Sample members also alternatively completed one of two comparison measures: the Hospital Anxiety and Depression Scale (HADS) or the Beck Depression Inventory for Primary Care (BDI-PC). A psychiatrist interviewed a subset to determine severity of any depression and whether subjects met formalized caseness criteria for depression. The Composite International Diagnostic Interview (CIDI) was also administered during interviews to assess agreement with psychiatrist judgements about caseness. A 16-item measure with high internal consistency was derived, with validation analyses suggesting it was distinctly superior to the HADS and somewhat superior to the BDI-PC measure. A cognitive-based approach (as used by both our measure and the BDI-PC) to screen for depression in medically ill groups appears to have distinct utility in identifying depressed patients, and in avoiding confounding influences of physical symptoms.

The Beck Depression Inventory for Primary Care accurately screened for major depressive disorders

Steer RA, Cavalieri TA, Leonard DM ,et al. Use of the beck depression inventory for primary care to screen for major depression disorders. Gen Hosp Psychiatry1999 Mar/Apr; 21 : 106...

Screening for major depression disorders in adolescent medical outpatients with the Beck Depression Inventory for Primary Care

Purpose: To ascertain the psychometric characteristics of the Beck Depression Inventory for Primary Care (BDI-PC) among adolescents (12–17 years old) scheduled for health maintenance examinations, and to determine the effectiveness of the BDI-PC in screening the adolescents for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, major depression disorders (MDD). Methods: The BDI-PC was administered to 50 male and 50 female adolescents who received pediatric health maintenance examinations. The diagnosis of MDD was established with the Mood Module from the Primary Care Evaluation of Mental Disorders. Results: The internal consistency of the BDI-PC was high (Cronbach alpha = .88), and it was not significantly associated with gender, ethnicity, age, or having a medical disorder. A cutoff score of ≥ 4 had both 91% sensitivity and specificity rates for identifying adolescents with and without MDD. Conclusions: The BDI-PC is a useful instrument for screening for clinical depression in adolescents receiving routine medical examinations.

Use of the Beck depression inventory for primary care to screen for major depression disorders

To ascertain how effective the Beck Depression Inventory for Primary Care (BDI-PC) was in screening for DSM-IV major depression disorders (MDD) in outpatients who were scheduled for routine office visits with physicians specializing in internal medicine, the BDI-PC was administered to 60 male and 60 female outpatients. The internal consistency of the BDI-PC was high (alpha 0.85), and the Mood Module from the Primary Care Evaluation of Mental Disorders was used to diagnose MDD. The BDI-PC scores were not significantly correlated with sex, age, ethnicity, or total number of medical diagnoses. A BDI-PC cutoff score of 4 and above yielded 98% maximum clinical efficiency with 97% (95% CI 82%–99%) sensitivity and 99% (95% CI 94%–99%) specificity rates, respectively, for identifying patients with and without MDD. The BDI-PC is discussed as an effective case-finding instrument for screening primary care patients for MDD.

Screening for major depression disorders in medical inpatients with the Beck Depression Inventory for Primary Care

To ascertain how effective the Beck Depression Inventory for Primary Care (BDI-PC) was for differentiating medical inpatients who were and were not diagnosed with DSM-IV major depression disorders (MDD), this 7-item self-report instrument composed of cognitive and affective symptoms was administered to 50 medical inpatients along with the Depression subscale (HDS) from the Hospital Anxiety and Depression Scale (Zigmond & Snaith, 1983, Acta Psychiatrica Scandinavica, 67, 361–370). The Mood Module from the Primary Care Evaluation of Mental Disorders (Spitzer et al., 1995, Prime-MD instruction manual updated for DSM-IV) was used to diagnose MDD. The internal consistency of the BDI-PC was high ( α = 0.86), and it was moderately correlated with the HDS ( r = 0.62, P < 0.001). The BDI-PC was not significantly correlated with sex, age, ethnicity, or type of medical diagnosis. A BDI-PC cut-off score of 4 and above yielded the maximum clinical efficiency with both 82% sensitivity and specificity rates. The clinical utility of the BDI-PC for identifying medical inpatients who should be evaluated for MDD is discussed.