126 resultados para cardiac depression scale

em Deakin Research Online - Australia


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Aims. This study sought to measure the rates and trajectory of depression over six months following admission for an acute cardiac event and describe the relationship between depression and life satisfaction.
Background. Co-morbid depression has an impact on cardiac mortality and is associated with the significant impairment of quality of life and well-being, impairments in psychosocial function, decreased medication adherence and increased morbidity.
Design. This was a descriptive, correlational study.
Method. The study was undertaken at a large public hospital in Melbourne. Participants were asked to complete a survey containing the cardiac depression scale (CDS) and the Personal Well-being Index.
Results. This study mapped the course of depression over six months of a cohort of patients admitted for an acute cardiac event. Significant levels of depressive symptoms were found, at a level consistent with the literature. A significant correlation between depressive symptoms as measured by the CDS and the Personal Well-being Index was found.
Conclusions. Depression remains a significant problem following admission for an acute coronary event. The Personal Wellbeing Index may be a simple, effective and non-confrontational initial screening tool for those at risk of depressive symptoms in this population. Relevance to clinical practice. Despite the known impact of depression on coronary heart disease (CHD), there is limited research describing its trajectory. This study makes a compelling case for the systematic screening for depression in patients with CHD and the importance of the nursing role in identifying at risk individuals.

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Aim.  The aim of this paper is to describe the implementation of a depression screening and referral tool in two cardiac wards of a major metropolitan public hospital. The tool consisted of two sections: (1) screening for depression risk (Cardiac Depression Scale-5) and (2) consequential referral actions.

Background.  Prior research has shown that depression in patients with heart disease is associated with significantly impaired quality of life, decreased medication adherence, increased morbidity and increased use of healthcare services.

Design.  A prospective in-patient study design.

Method.  A consecutive sample of 202 patients admitted to either the cardiac medical (n = 145) or surgical (n = 57) wards of a major Melbourne metropolitan hospital were recruited into the study over an 18-week period.

Results.  Just over half (54%) of the patients were identified as ‘at risk’ of depression. Of these, 19% were assessed as moderate risk and 35% high risk. Of those patients, 91% had the risk score documented in their medical history, 90% had engaged in discussions with clinicians regarding their risk score, 85% had their risk score communicated formally to the medical team and 25% were formally referred for appropriate follow-up – significantly more than prior to implementation of the screening and referral tool.

Conclusions.  By providing a formalised mechanism for detecting depression, documented screening and referral rates improved for those with comorbid depression and heart disease affording an opportunity for early intervention. These findings support a move towards integrated approaches to screening of depression to become standard practice in the acute cardiac setting.

Relevance to clinical practice.  Such mechanisms also have the potential to initiate the development of new models of care that acknowledge the complexity of comorbid depression and heart disease and provide pathways from speciality to primary care which integrate the physical and psychosocial domains inclusive of screening, referral, systematic monitoring and streamlined behavioural and physical care.

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Depression is common but frequently undetected in patients with coronary artery disease (CAD). Self-report screening instruments for assessing depression such as the Hospital Anxiety and Depression Scale (HADS) and the Patient Health Questionnaire-9 (PHQ-9) are available but their validity is typically determined in depressed patients without comorbid somatic illness. We investigated the validity of these instruments relative to a referent diagnostic standard in recently hospitalized patients with CAD.

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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.

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Background Coronary heart disease (CHD) and depression are leading causes of disease burden globally and the two often co-exist. Depression is common after Myocardial Infarction (MI) and it has been estimated that 15-35% of patients experience depressive symptoms. Co-morbid depression can impair health related quality of life (HRQOL), decrease medication adherence and appropriate utilisation of health services, lead to increased morbidity and suicide risk, and is associated with poorer CHD risk factor profiles and reduced survival. We aim to determine the feasibility of conducting a randomised, multi-centre trial designed to compare a tele-health program (MoodCare) for depression and CHD secondary prevention, with Usual Care (UC).

Methods Over 1600 patients admitted after index admission for Acute Coronary Syndrome (ACS) are being screened for depression at six metropolitan hospitals in the Australian states of Victoria and Queensland. Consenting participants are then contacted at two weeks post-discharge for baseline assessment. One hundred eligible participants are to be randomised to an intervention or a usual medical care control group (50 per group). The intervention consists of up to 10 × 30-40 minute structured telephone sessions, delivered by registered psychologists, commencing within two weeks of baseline screening. The intervention focuses on depression management, lifestyle factors (physical activity, healthy eating, smoking cessation, alcohol intake), medication adherence and managing co-morbidities. Data collection occurs at baseline (Time 1), 6 months (post-intervention) (Time 2), 12 months (Time 3) and 24 months follow-up for longer term effects (Time 4). We are comparing depression (Cardiac Depression Scale [CDS]) and HRQOL (Short Form-12 [SF-12]) scores between treatment and UC groups, assessing the feasibility of the program through patient acceptability and exploring long term maintenance effects. A cost-effectiveness analysis of the costs and outcomes for patients in the intervention and control groups is being conducted from the perspective of health care costs to the government.

Discussion This manuscript presents the protocol for a randomised, multi-centre trial to evaluate the feasibility of a tele-based depression management and CHD secondary prevention program for ACS patients. The results of this trial will provide valuable new information about potential psychological and wellbeing benefits, cost-effectiveness and acceptability of an innovative tele-based depression management and secondary prevention program for CHD patients experiencing depression.

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In 2003, the National Heart Foundation of Australia position statement on “stress” and heart disease found that depression was an important risk factor for coronary heart disease (CHD). This 2013 statement updates the evidence on depression (mild, moderate and severe) in patients with CHD, and provides guidance for health professionals on screening and treatment for depression in patients with CHD.

The prevalence of depression is high in patients with CHD and it has a significant impact on the patient’s quality of life and adherence to therapy, and an independent effect on prognosis. Rates of major depressive disorder of around 15% have been reported in patients after myocardial infarction or coronary artery bypass grafting.

To provide the best possible care, it is important to recognise depression in patients with CHD. Routine screening for depression in all patients with CHD is indicated at first presentation, and again at the next follow-up appointment. A follow-up screen should occur 2–3 months after a CHD event. Screening should then be considered on a yearly basis, as for any other major risk factor for CHD.

A simple tool for initial screening, such as the Patient Health Questionnaire-2 (PHQ-2) or the short-form Cardiac Depression Scale (CDS), can be incorporated into usual clinical practice with minimum interference, and may increase uptake of screening.

Patients with positive screening results may need further evaluation. Appropriate treatment should be commenced, and the patient monitored. If screening is followed by comprehensive care, depression outcomes are likely to be improved.

Patients with CHD and depression respond to cognitive behaviour therapy, collaborative care, exercise and some drug therapies in a similar way to the general population. However, tricyclic antidepressant drugs may worsen CHD outcomes and should be avoided.

Coordination of care between health care providers is essential for optimal outcomes for patients. The benefits of treating depression include improved quality of life, improved adherence to other therapies and, potentially, improved CHD outcomes.

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Postnatal depression occurs in 10-15% of women. The Edinburgh Postnatal Depression Scale (EPDS) is a 10-item self-report scale designed specifically as a screening instrument for the postnatal period. It was initially validated for use in the UK, but has subsequently been validated for other communities. It has not been validated for an African community.

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Background:
Depression is an independent risk factor for coronary artery disease. Autonomic instability may play a mediating or moderating role in this relationship; however this is not well understood. The objective of this study was to explore cardiac autonomic function and cardiac arrhythmia in depression, the correlation between depression severity and Heart Rate Variability (HRV) related indices, and the prevalence of arrhythmia.

Methods:
Individuals (n = 53) with major depression as assessed by the Diagnostic and Statistical Manual of Mental Disorders, who had a Hamilton Rating Scale for Depression (HAMD) score ≥20 and a Zung Self-Rating Depression Scale score > 53 were compared to 53 healthy individuals, matched for age and gender. Multichannel Electrocardiograph ECG-92C data were collected over 24 hours. Long-term changes in HRV were used to assess the following vagally mediated changes in autonomic tone, expressed as time domain indices: Standard deviation of the NN intervals (SDNN), standard deviation of 5 min averaged NN intervals (SDANN), Root Mean Square of the Successive Differences (RMSSD) and percentage of NN intervals > 50 ms different from preceding interval (pNN50). Pearson’s correlations were conducted to explore the strength of the association between depression severity (using the SDS and HRV related indices, specifically SDNN and low frequency domain / high frequency domain (LF/HF)).

Results:
The values of SDNN, SDANN, RMSSD, PNN50 and HF were lower in the depression group compared to the control group (P<.05). The mean value of the LF in the depression group was higher than the in control group (P<.05). Furthermore the ratio of LF/HF was higher among the depression group than the control group (P<.05). A linear relationship was shown to exist between the severity of the depression and HRV indices. In the depression group, the prevalence of arrhythmia was significantly higher than in the control group (P<.05), particularly supraventricular arrhythmias.

Conclusions:
Our findings suggest that depression is accompanied by dysfunction of the cardiac autonomic nervous system, and further, that depression severity is linked to severity of this dysfunction. Individuals with depression appear to be susceptible to premature atrial and/or ventricular disease.

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BACKGROUND: Much attention has been given to identifying and supporting the minority of patients who develop severe clinical depression after a cardiac event. However, relatively little has been given to supporting the many patients who experience transient but significant emotional disturbance that we term the 'cardiac blues'. OBJECTIVE: The aim of this study was to investigate patients' preferences regarding information provision about cardiac blues. METHODS: One hundred and sixty consecutive cardiac patients admitted to two Victorian hospitals in Australia were interviewed three times over six months. They were asked about emotional issues, including information provision preferences. RESULTS: Four out of five (81%) patients would like to have received information about the cardiac blues, but only a minority received this information. CONCLUSION: Most patients want to know about cardiac blues. The development and evaluation of resources for health professionals and patients to support recovery through cardiac blues appears warranted.

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Background and Purpose: The impact of stroke is multidimensional however standard stroke measures do not discriminate well when stroke patients are less physically impaired. The Stroke Impact Scale 2.0 (SIS 2.0) is a multidimensional measure of the impact of stroke but its'' psychometric properties require further testing. The SIS-16 is a measure of physical functioning designed to be more sensitive to differences in physical functioning than current stroke outcome measures but there is only preliminary information detailing its'' reliability and validity. The current study examined the internal consistency and validity of the SIS 2.0 and SIS-16 in an Australian sample of stroke patients. Methods: The SIS 2.0, SIS-16, World Health Organization Bref-Scale (WHOQOL-BREF) and Zung''s Self-Rating Depression Scale (SDS) were completed by 74 stroke patients in rural Victoria, Australia.
Results: The item convergent validity index indicated good item convergence of the SIS-16 and SIS 2.0 domains. The item discriminant validity index had only adequate divergence for most SIS 2.0 domains. Internal consistencies of the SIS-16 and SIS 2.0 domains were acceptable (agr = 0.87–0.95). Correlations between the SIS-16 and SIS 2.0 and the WHOQOL-BREF and SDS supported the convergent and discriminant validity of the SIS-16 and all the dimensions of the SIS 2.0 except lsquoParticipationrsquo which lacked discriminant validity. Conclusions: The SIS 2.0 and SIS-16 had good psychometric properties with support for the internal consistency and validity of both measures.

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Postnatal depression is a major health issue for childbearing women world-wide, as it is not always identified early. This study aimed to evaluate the clinical application of three screening instruments for the early recognition of post-partum depression, the Postpartum Depression Prediction Inventory, the Postpartum Depression Screening Scale and the Edinburgh Postnatal Depression Scale, and to examine nurse interventions following use of the instruments. Data were collected at two points, at 28 weeks prenatal (107 women) and eight weeks postnatal (84 women). Results showed that 17% of the women scored significant symptoms of post-partum depression and 10–15% had a positive screen for major postnatal depression. There was a statistically significant correlation between the total score on the Postpartum Depression Screening Scale and the Edinburgh Postnatal Depression Scale. Of those eight women identified as being at risk, seven had received anticipatory guidance and five had received counselling by the nurses. The Postpartum Depression Prediction Inventory enabled nurses to identify women at risk of post-partum depression and offer interventions.

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Objective: To evaluate the use of a standard pen-and-paper test versus the use of a checklist for the early identification of women at risk of postpartum depression and to investigate the experiences of nurses in using the checklist.

Design: A prospective cohort design using repeated measures.

Setting: The booking-in prenatal clinic at a regional hospital in Victoria, Australia, and the community-based postpartum maternal and child health service.

Participants:
107 pregnant women over 20 years of age.

Main Measures:
Postpartum Depression Prediction Inventory (PDPI), Postpartum Depression Screening Scale (PDSS), Edinburgh Postnatal Depression Scale (EPDS), demographic questionnaire, and data on the outcome from the midwives and nurses.

Results: The PDPI identified 45% of the women at risk of depression during pregnancy and 30% postpartum. The PDSS and EPDS both identified the same 8 women (10%), who scored highly for depression at the 8-week postpartum health visit. Nurses provided 80% of the women with anticipatory guidance on postpartum depression in the prenatal period and 46% of women at the 8-week postpartum health visit. Nurse counseling or anticipatory guidance was provided for 60% of the women in the prenatal period.

Conclusion: The PDPI was found to be a valuable checklist by many nurses involved in this research, particularly as a way of initiating open discussion with women about postpartum depression. It correlated strongly with both the PDSS and the EPDS, suggesting that it is useful as an inventory to identify women at risk of postpartum depression.

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Objective: To describe the prevalence of psychological distress, depression and anxiety in three Australian rural settings and to identify the levels of risk by gender and age.

Design and setting: Three cross-sectional surveys in the Greater Green Triangle area covering the south-east of South Australia (Limestone Coast), and south-west (Corangamite Shire) and north-west (Wimmera) of Victoria.

Participants: A total of 1563 people, aged 25–74 years, randomly selected from the electoral roll.

Main outcome measures: Psychological distress assessed by the Kessler 10, and anxiety and depression assessed by the Hospital Anxiety and Depression Scale.

Results: The prevalence of psychological distress was 31% for both men and women with two-thirds reporting moderate and one-third high levels of psychological distress. The prevalence of depression and anxiety was approximately 10%. The highest rate of psychological distress, anxiety and depression occurred in the 45–54 years age group. There were no consistent gender or area differences in the prevalence of psychological distress, depression or anxiety.

Conclusions: A third of the rural population reported psychological distress, with the highest prevalence observed in middle-aged men and women. Thus, health professionals should attend not only to physical health, but also to mental health status in this age group. It is also important to target prevention strategies at the 20% who reported moderate levels of psychological distress in order to prevent the development of more serious conditions.