Positivity and Health Locus of Control: Key Variables to Intervene on Well-Being of Cardiovascular Disease Patients

Psychological well-being is a good predictor of several health outcomes in cardiovascular disease patients (adherence, quality of life, and healthy behaviors). The perception of health control and a positive orientation seem to have a beneficial effect on health and well-being. Therefore, the aim of this study was to investigate the role of the health locus of control and positivity in the psychological well-being and quality of life of cardiovascular patients. A total of 593 cardiac outpatients completed the Multidimensional Health Locus of Control Scale, the Positivity Scale and the Hospital Anxiety and Depression Scale at baseline (January 2017) and 9 m later (follow-up; n = 323). A Spearman rank correlation coefficient and a structural equation modeling approach were determined to explore the relationships between those variables both cross-sectionally and longitudinally. A cross-sectional correlation analysis at baseline revealed that the internal health locus of control and positivity were negatively associated with anxiety (rs = -0.15 and -0.44, ps < 0.01) and depression (rs = -0.22 and -0.55, ps < 0.01) and positively associated with health-related quality of life (rs = 0.16 and 0.46, ps < 0.01). Similar outcomes were found at follow-up and in longitudinal correlations. According to the path analysis, positivity was found to be negatively associated with anxiety and depression level at baseline (β = -0.42 and -0.45, ps < 0.001). Longitudinally, positivity was negatively associated with depression (β = 0.15, p < 0.01) and together with the internal health locus of control, was positively associated with health-related quality of life (β = 0.16 and 0.10, respectively, ps < 0.05). These findings suggest that focusing on the health locus of control and especially positivity may be crucial in enhancing the psychological well-being of patients in the context of cardiac care. The potential impact of these results on future interventions is discussed.

Effects of screening for anxiety and depression in patients with ischaemic heart disease - a nationwide Danish register study

AIM

To investigate the effect of screening for anxiety and depression (AD) in patients with ischaemic heart disease (IHD) on the likelihood of receiving treatment for AD.

METHODS

We used a nationwide dataset of all Danish patients with an incident IHD diagnosis in the period 2015-2018 (N = 80,701) of which 20,461 (25%) were exposed to screening for AD as part of cardiac rehabilitation. A binary composite indicator for the use of any AD treatment (prescriptions of AD drugs, general practitioner (GP) counselling or referral to a psychologist), was modelled as the dependent variable. The probability of receiving AD treatment was estimated using linear probability and instrumental variable regression models.

RESULTS

Exposure to AD screening was lower for patients with low income (change in probability -0.67, 95% CI -0.76; -0.59), low education (change in probability -0.16, 95% CI -0.20; -0.13), and a high comorbidity burden (change in probability -0.09, 95% CI -0.10; -0.07). Screened patients had a lower conditional probability of AD treatment (change in probability -0.0061, p < 0.001) than non-screened patients. The patient's GP also had an impact on the probability of being referred for AD treatment. Using an instrumental variable approach did not affect the results.

CONCLUSIONS

Screening for AD was subject to selection at the patient level; patients at lower risk of AD had a higher probability of being screened. Hence, extending systematic screening to cover a larger population may not achieve a noticeable increase in the uptake of AD treatment if it is not supported by appropriate measures to reduce reverse selection into screening.

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.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12872-022-02897-y.

Systematic screening for anxiety and depression in cardiac rehabilitation - are we there yet?

BACKGROUND

Anxiety and depression are prevalent in 20% of patients with acute coronary syndrome (ACS) and associated with poor outcomes. Guidelines recommend screening for these conditions in cardiac rehabilitation (CR) however, clinical practice is inconsistent. Sparse knowledge exists on determinants for screening.

METHODS

This observational study used data from the National Audit of Cardiac Rehabilitation from January 2016-December 2019. A multivariate logistic regression model was performed to analyze patient- and provider level determinants for screening for anxiety and depression among patients with ACS.

RESULTS

The population consisted of 138,018 patients, where 82,507 (59.8%) were screened and 55,511 (40.2%) were not. Younger age, non-white ethnicity, living in areas of social deprivation, current smoking, body mass index>30, and physical activity<150 min per week were negatively correlated with patients being screened. Compared to patients having a percutaneous coronary intervention, patients undergoing coronary artery bypass grafting or medical treatment were less likely to be screened. History of anxiety, depression, osteoporosis, chronic back problems, and asthma were positively correlated with screening, while chronic obstructive pulmonary disease, diabetes, hypertension, and stroke were negatively correlated with screening. Regarding provider level, certification of CR centers was positively associated with screening, while looking over time data showed an incremental negative trend in screening from 2016 to 2019.

CONCLUSION

We found both patient and provider level determinants of screening for anxiety and depression. Clinical practice is still inconsistent especially for high-risk groups. We recommend systematic screening to enable tailored interventions which in turn may mitigate inequity in health outcomes.

Internet-based treatment of anxiety and depression in patients with ischaemic heart disease attending cardiac rehabilitation: a feasibility study (eMindYourHeart)

Aims

Anxiety and depression are prevalent in 20% of patients with ischaemic heart disease (IHD); however, treatment of psychological conditions is not commonly integrated in cardiac rehabilitation (CR). Internet-based psychological treatment holds the potential to bridge this gap. To examine the feasibility of an eHealth intervention targeting anxiety and depression in patients with IHD attending CR.

Methods and results

We used a mixed-methods design, including quantitative methods to examine drop-out and change in anxiety and depression scores, and qualitative methods (thematic analysis) to evaluate patients' and nurses' experiences with the intervention. The therapist-guided intervention consisted of 12 modules provided via a web-based platform. The primary outcome was drop-out, with a drop-out rate <25% considered acceptable. Patients were considered as non-drop-out if they completed ≥5 modules. Out of 60 patients screened positive for anxiety and/or depression, 29 patients were included. The drop-out rate was 24% (7/29). Patients had a mean improvement in anxiety and depression scores of 5.5 and 4.6, respectively. On average, patients had 8.0 phone calls with their therapist and 19.7 written messages. The qualitative analysis of patients' experiences identified four themes: treatment platform, intervention, communication with therapist, and personal experience. Patients were positive towards the intervention, although some found the assignments burdensome. From the nurses, we identified three themes: intervention, inclusion procedure, and collaboration with study team. The nurses were positive, however, due to limited time some struggled with the inclusion procedure.

Conclusion

Integrating an eHealth intervention in CR is feasible and the drop-out rate acceptable.

Protocol for the development and validation of a measure of persistent psychological and emotional distress in cardiac patients: the Cardiac Distress Inventory

INTRODUCTION

Distress is experienced by the majority of cardiac patients, yet no cardiac-specific measure of distress exists. The aim of this project is to develop and validate the Cardiac Distress Inventory (CDI). Using the CDI, health professionals will be able to identify key clusters of psychological, emotional and social concern to address with patients, postcardiac event.

METHODS AND ANALYSIS

An item pool will be generated through: identification of items by a multidisciplinary group of clinician researchers; review of generic and condition-specific distress measures; focus group testing with cardiac rehabilitation professionals; feedback from patients. The COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) criteria will be used to inform the development of the methodology for determining the CDI's psychometric properties. The item pool will be tested with 400 cardiac patients and responses subjected to exploratory factor analysis, Rasch analysis, construct validity testing and latent class analysis. Receiver operating characteristic analysis will be used to identify the optimal CDI cut-off score for distinguishing whether a person experiences clinically significant distress.

ETHICS AND DISSEMINATION

Approved by the Monash Health Human Research Ethics Committee (approval number-RES-19-0000631L-559790). The CDI will be made available to clinicians and researchers without charge. The CDI will be translated for use internationally. Study findings will be shared with cardiac patient support groups; academic and medical communities via publications and presentations; in the training of cardiac secondary prevention professionals; and in reports to funders. Authorship for publications will follow the uniform requirements for manuscripts submitted to biomedical journals.

Diagnostic evaluation of the hospital depression scale (HADS) and the Beck depression inventory II (BDI-II) in adults with congenital heart disease using a structured clinical interview: Impact of depression severity

OBJECTIVE

The purpose of this study was the diagnostic evaluation of the hospital anxiety and depression scale total score, its depression subscale and the Beck depression inventory II in adults with congenital heart disease.

METHODS

This cross-sectional study evaluated 206 patients with congenital heart disease (mean age 35.3 ± 11.7 years; 58.3% men). Major depressive disorder was diagnosed by a structured clinical interview for the Diagnostic and Statistical Manual of Mental Disorders IV and disease severity with the Montgomery-Åsberg depression rating scale. Receiver operating characteristics provided assessment of diagnostic accuracy. Youden's J statistic identified optimal cut-off points.

RESULTS

Fifty-three participants (25.7%) presented with major depressive disorder. Of these, 28 (52.8%) had mild and 25 (47.2%) had moderate to severe symptoms. In the total cohort, the optimal cut-off of values was >11 in the Beck depression inventory II, >11 in the hospital anxiety and depression scale and >5 in the depression subscale. Optimal cut-off points for moderate to severe major depressive disorder were similar. The cut-offs for mild major depressive disorder were lower (Beck depression inventory II >4; hospital anxiety and depression scale >8; >2 in its depression subscale). In the total cohort the calculated area under the curve varied between 0.906 (hospital anxiety and depression scale) and 0.93 (Beck depression inventory II). Detection of moderate to severe major depressive disorder (area under the curve 0.965-0.98) was excellent; detection of mild major depressive disorder (area under the curve 0.851-0.885) was limited. Patients with major depressive disorder had a significantly lower quality of life, even when they had mild symptoms.

CONCLUSION

All scales were excellent for detecting moderate to severe major depressive disorder. Classification of mild major depressive disorder, representing 50% of cases, was limited. Therapy necessitating loss of quality of life is already present in major depressive disorder with mild symptoms. Established cut-off points may still be too high to identify patients with major depressive disorder requiring therapy. External validation is needed to confirm our data.