The cardiac distress inventory: A new measure of psychosocial distress associated with an acute cardiac event.

BACKGROUND: Many challenges are posed by the experience of a heart attack or heart surgery which can be characterised as 'cardiac distress'. It spans multiple psychosocial domains incorporating patients' responses to physical, affective, cognitive, behavioural and social symptoms and experiences related to their cardiac event and their recovery. Although some measures of the psychological and emotional impacts of a cardiac event exist, none provides a comprehensive assessment of cardiac distress. To address this gap, the study aimed to develop a Cardiac Distress Inventory (CDI) using best practice in instrument design. METHOD: An item pool was generated through analysis of cognate measures, mostly in relation to other health conditions and through focus group and individual review by a multidisciplinary development team, cardiac patients, and end-users including cardiac rehabilitation co-ordinators. The resulting 144 items were reduced through further reviews to 74 for testing. The testing was carried out with 405 people recruited from three hospitals, through social media and by direct enrolment on the study website. A two-stage psychometric evaluation of the 74 items used exploratory factor analysis to extract the factors followed by Rasch analysis to confirm dimensionality within factors. RESULTS: Psychometric analysis resulted in the identification of 55 items comprising eight subscales, to form the CDI. The subscales assess fear and uncertainty, disconnection and hopelessness, changes to roles and relationships, overwhelm and depletion, cognitive challenges, physical challenges, health system challenges, and death concerns. Validation against the Kessler 6 supports the criterion validity of the CDI. CONCLUSION: The CDI reflects a nuanced understanding of cardiac distress and should prove to be a useful clinical assessment tool, as well as a research instrument. Individual subscales or the complete CDI could be used to assess or monitor specific areas of distress in clinical practice. Development of a short form screening version for use in primary care, cardiac rehabilitation and counselling services is warranted.

Unraveling the Complexity of Cardiac Distress: A Study of Prevalence and Severity.

Introduction: While much research attention has been paid to anxiety and depression in people who have had a recent cardiac event, relatively little has focused on the broader concept of cardiac distress. Cardiac distress is a multidimensional construct that incorporates but extends beyond common mood disorders such as anxiety and depression. In the present study we assessed the prevalence, severity and predictors of a broad range of physical, affective, cognitive, behavioral and social symptoms of cardiac distress. This is the first study to investigate cardiac distress in this comprehensive way. Method: A sample of 194 patients was recruited from two hospitals in Australia. Eligible participants were those who had recently been hospitalized for an acute cardiac event. Data were collected at patients' outpatient clinic appointment ~8 weeks after their hospital discharge. Using a questionnaire developed through a protocol-driven 3-step process, participants reported on whether they had experienced each of 74 issues and concerns in the past 4 weeks, and the associated level of distress. They also provided sociodemographic and medical information. Regression analyses were used to identify risk factors for elevated distress. Results: Across the 74 issues and concerns, prevalence ratings ranged from a high of 66% to a low of 6%. The most commonly endorsed items were within the domains of dealing with symptoms, fear of the future, negative affect, and social isolation. Common experiences were "being physically restricted" (66%), "lacking energy" (60%), "being short of breath" (60%), "thinking I will never be the same again" (57%), and "not sleeping well" (51%). While less prevalent, "not having access to the health care I need," "being concerned about my capacity for sexual activity," and "being unsupported by family and friends" were reported as highly distressing (74, 64, and 62%) for those experiencing these issues. Having a mental health history and current financial strain were key risk factors for elevated distress. Conclusion and Implications: Specific experiences of distress appear to be highly prevalent in people who have had a recent cardiac event. Understanding these specific fears, worries and stressors has important implications for the identification and management of post-event mental health and, in turn, for supporting patients in their post-event cardiac recovery.

Are poor health behaviours in anxious and depressed cardiac patients explained by sociodemographic factors?

INTRODUCTION: While there is evidence of poor health behaviours in anxious and depressed cardiac patients, it is possible that sociodemographic factors explain these associations. Few previous studies have adequately controlled for confounders. The present study investigated health behaviours in anxious and depressed cardiac patients, while accounting for sociodemographic confounders. METHOD: A consecutive sample of 275 patients admitted to hospital after acute myocardial infarction (32%) or for coronary bypass surgery (40%) or percutaneous coronary intervention (28%) was interviewed six weeks after hospital discharge. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS). Smoking, physical activity, alcohol intake and dietary fat intake were assessed by self-report. Backward stepwise logistic regression was used to identify the factors independently associated with anxiety and depression. RESULTS: In total, 41 patients (15.2%) were 'depressed' (HADS-D ≥8) while 68 (25.2%) were 'anxious' (HADS-A ≥8). Depressed patients reported higher rates of smoking (χ2)= 4.47, p = 0.034), lower physical activity (F = 8.63, p < 0.004) and higher dietary fat intake (F = 7.22, p = 0.008) than non-depressed patients. Anxious patients reported higher smoking rates (χ2)= 5.70, p = 0.024) and dietary fat intake (F = 7.71, p = 0.006) than non-anxious patients. In multivariate analyses, an association with depression was retained for both diet and physical activity, and an association with anxiety was retained for diet. Low social support and younger age were significant confounders with depression and anxiety respectively. CONCLUSIONS: While the high smoking rates evidenced in anxious and depressed patients were explained by sociodemographic factors, their poor diet and low physical activity (depressed patients only) were independent of these factors. Given the impact of lifestyle modification on survival after a cardiac event, anxious and depressed patients should be a priority for cardiac rehabilitation and other secondary prevention programmes.