A literature review of the application of the geriatric depression scale, depression anxiety stress scales and post-traumatic stress disorder checklist to community nursing cohorts

Aims and objectives. To explore through literature review the appropriateness of three common tools for use by community nurses to screen war veteran and war widow(er) clients for depression, anxiety and post-traumatic stress disorder.

Background. War veterans and, to a lesser extent, war widow(er)s, are prone to mental health challenges, especially depression, anxiety and post-traumatic stress disorder. Community nurses do not accurately identify such people with depression and related disorders although they are well positioned to do so. The use of valid and reliable self-report tools is one method of improving nurses' identification of people with actual or potential mental health difficulties for referral to a general practitioner or mental health practitioner for diagnostic assessment and treatment. The Geriatric Depression Scale, Depression Anxiety Stress Scales and Post-traumatic Stress Disorder Checklist are frequently recommended for mental health screening but the appropriateness of using the tools for screening war veteran and war widow(er) community nursing clients who are often aged and have functional impairment, is unknown.

Design. Systematic review.

Conclusions. Current literature informs that the Geriatric Depression Scale accurately predicts a diagnosis of depression in community nursing cohorts. The three Depression Anxiety Stress Scales subscales of depression, anxiety and stress are valid; however, no studies were identified that compared the performance of the Depression Anxiety Stress Scales in predicting diagnoses of depression or anxiety. The Post-traumatic Stress Disorder Checklist predicts post-traumatic stress disorder in community cohorts although no studies meeting the selection criteria included male participants.

Relevance to clinical practice. This review provides recommendations for the use of the Geriatric Depression Scale, Depression Anxiety Stress Scales and The Post-traumatic Stress Disorder Checklist based on examination of the published evidence for the application of these screening tools in samples approximated to community nursing cohorts. Findings and recommendations would guide community nurses, managers and health planners in the selection of mental health screening tools to promote holistic community nursing care.

Knowledge of late-life depression : an empirical investigation of aged care staff

Objectives: This study examined knowledge of late-life depression among staff working in residential and community aged care settings, as well as their previous training in caring for older people with depression.

Method: A sample of 320 aged care staff (mean age = 42 years) completed a survey questionnaire. Participants included direct care staff, registered nurses and Care Managers from nursing and residential homes and community aged care services.

Results: Less than half of the participating aged care staff had received any training in depression, with particularly low rates in residential care. Although aware of the importance of engaging with depressed care recipients and demonstrating moderate knowledge of the symptoms of depression, a substantial proportion of staff members saw depression as a natural consequence of bereavement, aging or relocation to aged care.

Conclusion: Experience in aged care appears to be insufficient for staff to develop high levels of knowledge of depression. Specific training in depression is recommended for staff working in aged care settings in order to improve the detection and management of late-life depression, particularly among direct carers, who demonstrated least knowledge of this common disorder.

An examination of the 'gold standard' diagnosis of major depression in aged-care settings

Objectives: Individual clinical interviews are typically viewed as the “gold standard” when diagnosing major depressive disorder (MDD) and when examining the validity of self-rated questionnaires. However, this approach may be problematic with older people, who are known to underreport depressive symptomatology. This study examined the effect of including an informant interview on prevalence estimations of MDD in an aged-care sample.

Design: The results of an individual clinical interview for MDD were compared with those obtained when an informant interview was incorporated into the assessment. Results from each diagnostic approach were compared with scores on a self-rated depression instrument.

Setting: Low-level aged-care residential facilities in Melbourne (equivalent to “residential homes,” “homes for the elderly,” or “assisted living facilities” in other countries).

Participants: One hundred and sixty-eight aged-care residents (mean age: 84.68 years; SD: 6.16 years) with normal cognitive functioning.

Measurements: Individual clinical interviews were conducted using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition Axis I Disorders. This interview was modified for use with staff informants. Self-reported depression was measured using the Geriatric Depression Scale-15 (GDS-15).

Results: The estimated point prevalence of MDD rose from 16% to 22% by including an informant clinical interview in the diagnostic procedure. Overall, 27% of depressed residents failed to disclose symptoms in the clinical interview. The concordance of the GDS-15 with a diagnosis of MDD was substantially lower when an informant source was included in the diagnostic procedure.

Conclusion: Individual interviews and self-report questionnaires may be insufficient to detect depression among older adults. This study supports the use of an informant interview as an adjunct when diagnosing MDD among cognitively intact aged-care residents.

The relationship between depression and body dissatisfaction across pregnancy and the postpartum : a prospective study

The overall aim of this study was to examine the relationship between depression and body dissatisfaction across pregnancy and the first 12 months postpartum. During pregnancy, women's (N = 116) perceived attractiveness and strength/fitness remained stable, while feeling fat and salience of weight/shape decreased in late pregnancy. During the postpartum, feeling fat and salience of weight/shape increased. Depression and body dissatisfaction scores were correlated with each other concurrently and across multiple time points. However, in baseline-controlled prospective analyses, only a model of greater depression late in pregnancy predicting body dissatisfaction at six weeks postpartum and feeling fat throughout the postpartum was supported.

The bipolar depression rating scale (BDRS) : its development, validation and utility

Objectives: Unipolar and bipolar depression differ neurobiologically and in clinical presentation. Existing depression rating instruments, used in bipolar depression, fail to capture the necessary phenomenological nuances, as they are based on and skewed towards the characteristics of unipolar depression. Both clinically and in research there is a growing need for a new observer-rated scale that is specifically designed to assess bipolar depression.

Methods: An instrument reflecting the characteristics of bipolar depression was drafted by the authors, and administered to 122 participants aged 18–65 (44 males and 78 females) with a diagnosis of DSM-IV bipolar disorder, who were currently experiencing symptoms of depression. The Bipolar Depression Rating Scale (BDRS) was administered together with the Hamilton Depression Rating Scale (HAM-D), Montgomery Asberg Depression Rating Scale (MADRS) and Young Mania Rating Scale (YMRS).

Results: The BDRS has strong internal consistency (Cronbach's alpha = 0.917), and robust correlation coefficients with the MADRS (r = 0.906) and HAM-D (r = 0.744), and the mixed subscale correlated with the YMRS (r = 0.757). Exploratory factor analysis showed a three-factor solution gave the best account of the data. These factors corresponded to depression (somatic), depression (psychological) and mixed symptom clusters.

Conclusions: This study provides evidence for the validity of the BDRS for the measurement of depression in bipolar disorder. These results suggest good internal validity, provisional evidence of inter-rater reliability and strong correlations with other depression rating scales.

Scale matters : the need for a Bipolar Depression Rating Scale (BDRS)

Objective: To briefly review the clinical and biological distinctions between unipolar and bipolar depression critiquing in particular currently available depression rating scales and discuss the need for a new observer-rated scale tailored to bipolar depression.

Method: Relevant literature pertaining to the symptomatic differences between bipolar disorder and unipolar disorder as well as their measurement using existing assessment scales was identified by computerized searches and reviews of scientific journals known to the authors.

Results: Bipolar depression is distinct from unipolar depression in terms of phenomenology and clinical characteristics. These distinguishing features can be used to identify bipolarity in patients that present with recurrent depressive episodes. This is important because current self-report and observer-rated scales are optimized for unipolar depression, and hence limited in their ability to accurately assess bipolar depression.

Conclusion: The development of a specific bipolar depression rating scale will improve the assessment of bipolar depression in both research and clinical settings and assist the development of better treatments and interventions.

Detection of depression in patients with low vision

Purpose. Depression is common in people with vision impairment and further reduces levels of functioning independent of vision loss. However, depression most often remains undetected and untreated this group. Eye health  professionals (EHPs) (ophthalmic nurses, ophthalmologists, optometrists, and orthoptists) and rehabilitation workers (RWs) may be able to play a role in detecting depression. This study aimed to identify current practice and investigate factors associated with depression management strategies.
Methods. A self-administered cross-sectional survey of EHPs and RWs assessed current practice including confidence in working with depressed people with vision impairment; barriers to recognition, assessment, and management of depression; beliefs about the consequences, duration, and efficacy of treatment for depression in individuals with vision impariment.
Results. Ninety-four participants aged 23 to 69 years took part. Thirty-seven participants (39.8%) stated that they attempted to identify depression as part of patient management, with RWs significantly more likely to do so (n = 17, 60.7%) than EHPs (n = 20, 30.8%; p = 0.007). Intention to identify depression was not associated with sociodemographic factors, professional experience in eye care services, or the length and number of patient consultations, but a significant relationship was found for confidence, barriers, and beliefs about depression (p < 0.05). No consistent depression management strategy emerged and a range of barriers were highlighted.
Conclusions. Training programs are needed to provide EHPs and RWs with the skills and resources to address depression in people with vision loss under their care and to support the development of procedures by which concerns about depression can be identified objectively, documented, and included as part of a referral to appropriate services.

Exploring optimistic and pessimistic attributions in depression-specific mood

Cognitive theories of depression include maladaptive thinking styles as depressive vulnerabilities. The hopelessness theory of depression (Abramson, Metalsky, & Alloy, 1989) particularly implicates stable and global attributions for negative events as influences upon depression. Positive event attributions are considered less influential, yet they have shown equal predictiveness to negative event attributions for depression-specific mood. Previous research has provided equivocal results largely because of cross-sectional design and modest psychometric properties of the measures. The present research aimed to: create a new instrument to measure optimistic and pessimistic attributions; test the relatedness of attributions for positive and negative events; and, clarify relationships of the scales with optimism and mood. Three studies were undertaken, all of which used structural equation modeling. Two cross-sectional studies, using 342 and 332 community participants respectively, developed and validated the Questionnaire of Explanatory Style (QES). A final longitudinal study with 250 community participants tested the predictive validity of the QES. Overall, six scales were developed, three of which were optimistic and three of which were negative. The scales were acceptable to community samples and had adequate psychometric properties. The optimistic scales were attributions for positive events and the negative scales were attributions for negative events rather than pessimistic scales. Cross-sectional results indicated that only one of the negative scales weakly directly predicted depression-specific mood, but all predicted general psychological distress. By contrast, the optimistic scales were more directly predictive of depression-specific mood, particularly the Positive Disposition scale. Longitudinal results indicated that two of the optimistic scales were the most important QES predictors of depression-specific mood two months later. The optimistic scale Positive Disposition appears most central to the prediction of both concurrent and subsequent depression-specific mood. The scale content represents explanations for positive events that are internal and stable characteristics. These may be construed as personal competencies to bring about positive outcomes. This scale is closely allied to measures of optimism. Findings affirm the importance of optimistic attributions to the understanding of depression-specific mood and provide a productive focus for therapeutic intervention and future research.

Examination of a multi-factorial model of body-related experiences during pregnancy : the relationships among physical symptoms, sleep quality, depression, self-esteem, and negative body attitudes

The aim of this cross-sectional study was to investigate relationships among women's body attitudes, physical symptoms, self-esteem, depression, and sleep quality during pregnancy. Pregnant women (N = 215) at 15–25 weeks gestation completed a questionnaire including four body image subscales assessing self-reported feeling fat, attractiveness, strength/fitness, and salience of weight and shape. Women reported on 29 pregnancy-related physical complaints, and completed the Beck Depression Inventory, Rosenberg Self-esteem Scale, and Pittsburgh Sleep Quality Index. In regressions, controlling for retrospective reports of body image, more frequent and intense physical symptoms were related to viewing the self as less strong/fit, and to poorer sleep quality and more depressive symptoms. In a multi-factorial model extending previous research, paths were found from sleep quality to depressive symptoms to self-esteem; self-esteem was found to be a mediator associated with lower scores on feeling fat and salience of weight and shape, and on higher perceived attractiveness.