Emotional distress, positive affect, and mortality in patients with an implantable cardioverter defibrillator

BACKGROUND

Little is known about the relationship between emotional distress and mortality in patients with an implantable cardioverter defibrillator (ICD). Our aim was to examine the predictive value of general negative and positive affect, and depressive symptoms (including its components somatic symptoms and cognitive-affective symptoms) for mortality.

METHODS

ICD patients (N=591, 81% male, mean age=62.7 ± 10.1 years) completed the Global Mood Scale to measure the independent dimensions negative and positive mood, and the Beck Depression Inventory to measure depressive symptoms. Covariates consisted of demographic and clinical variables.

RESULTS

During the median follow-up of 3.2 years, 96 (16.2%) patients died. After controlling for covariates, negative affect was significantly related to all-cause mortality (HR=1.034, p=0.002), whereas positive affect was not (HR=1.007, p=0.61). Depressive symptoms were also independently associated with an increased mortality risk (HR=1.031, p=0.030) and somatic symptoms of depression in particular (HR=1.130, p=0.003), but cognitive-affective symptoms were not associated with mortality (HR=0.968, p=0.29). When entering both significant psychological predictors in a covariate-adjusted model, negative mood remained significant (HR=1.039, p=0.009), but somatic symptoms of depression did not (HR=0.988, p=0.78). Similar results were found for cardiac-related death. Of covariates, increased age, CRT, appropriate shocks were positively related to death.

CONCLUSIONS

Negative affect in general was related to mortality, but reduced positive affect was not. Depression, particularly its somatic symptoms, was also related to mortality, while cognitive-affective symptoms were not. Future research may further focus on the differential predictive value of emotional distress factors, as well as on mechanisms that relate emotional distress factors to mortality.

Behavioral interventions in patients with an implantable cardioverter defibrillator: lessons learned and where to go from here?

BACKGROUND

The implantable cardioverter defibrillator (ICD) is the first-line treatment for primary and secondary prevention of sudden cardiac death. A subgroup of patients experience psychological distress postimplant, and no clear evidence base exists regarding how best to address patients' needs. The aim of this critical review is to provide an overview of behavioral interventions in ICD patients to date, and to delineate directions for future research using lessons learned from the ongoing RISTA and WEBCARE trials.

METHODS

We searched the PubMed and PsycInfo databases to identify reports of behavioral trials targeting distress and related factors in ICD patients published between 1980 and April 2012.

RESULTS

We identified 17 trials for the review. Generally, compared to usual care, behavioral interventions were associated with reduced anxiety and depression and improved physical functioning, with effect sizes ranging from small to moderate-large (0.10-1.79 for anxiety; 0.23-1.20 for depression). Important limitations were small sample sizes and potential selection bias, hampering generalizability of the results. In addition to a need for larger trials, experiences from the RISTA and WEBCARE trials suggest that intervention trials tailored to the individual patient may be the way forward.

CONCLUSIONS

Behavioral interventions show promise with respect to reducing distress in ICD patients. Large-scale intervention trials targeted to the individual needs and preferences of patients are warranted, as a "one size fits all" approach is unlikely to work for all ICD patients.

Attrition and adherence in a WEB-Based Distress Management Program for Implantable Cardioverter defibrillator Patients (WEBCARE): randomized controlled trial

Background

WEB-Based Distress Management Program for Implantable CARdioverter defibrillator Patients (WEBCARE) is a Web-based randomized controlled trial, designed to improve psychological well-being in patients with an implantable cardioverter defibrillator (ICD). As in other Web-based trials, we encountered problems with attrition and adherence.

Objective

In the current study, we focus on the patient characteristics, reasons, and motivation of (1) completers, (2) those who quit the intervention, and (3) those who quit the intervention and the study in the treatment arm of WEBCARE.

Methods

Consecutive first-time ICD patients from six Dutch referral hospitals were approached for participation. After signing consent and filling in baseline measures, patients were randomized to either the WEBCARE group or the Usual Care group.

Results

The treatment arm of WEBCARE contained 146 patients. Of these 146, 34 (23.3%) completed the treatment, 88 (60.3%) dropped out of treatment but completed follow-up, and 24 (16.4%) dropped out of treatment and study. Results show no systematic differences in baseline demographic, clinical, or psychological characteristics between groups. A gradual increase in dropout was observed with 83.5% (122/146) completing the first lesson, while only 23.3% (34/146) eventually completed the whole treatment. Reasons most often given by patients for dropout were technical problems with the computer, time constraints, feeling fine, and not needing additional support.

Conclusions

Current findings underline the importance of focusing on adherence and dropout, as this remains a significant problem in behavioral Web-based trials. Examining possibilities to address barriers indicated by patients might enhance treatment engagement and improve patient outcomes.

Trial Registration

Clinicaltrials.gov: NCT00895700; http://www.clinicaltrials.gov/ct2/show/NCT00895700 (Archived by WebCite at http://www.webcitation.org/6NCop6Htz).

Usefulness of a Lifestyle Intervention in Patients With Cardiovascular Disease

The importance of modifying lifestyle factors in order to improve prognosis in cardiac patients is well-known. Current study aims to evaluate the effects of a lifestyle intervention on changes in lifestyle- and health data derived from wearable devices. Cardiac patients from Spain (n = 34) and The Netherlands (n = 36) were included in the current analysis. Data were collected for 210 days, using the Fitbit activity tracker, Beddit sleep tracker, Moves app (GPS tracker), and the Careportal home monitoring system. Locally Weighted Error Sum of Squares regression assessed trajectories of outcome variables. Linear Mixed Effects regression analysis was used to find relevant predictors of improvement deterioration of outcome measures. Analysis showed that Number of Steps and Activity Level significantly changed over time (F = 58.21, p < 0.001; F = 6.33, p = 0.01). No significant changes were observed on blood pressure, weight, and sleep efficiency. Secondary analysis revealed that being male was associated with higher activity levels (F = 12.53, p < 0.001) and higher number of steps (F = 8.44, p < 0.01). Secondary analysis revealed demographic (gender, nationality, marital status), clinical (co-morbidities, heart failure), and psychological (anxiety, depression) profiles that were associated with lifestyle measures. In conclusion results showed that physical activity increased over time and that certain subgroups of patients were more likely to have a better lifestyle behaviors based on their demographic, clinical, and psychological profile. This advocates a personalized approach in future studies in order to change lifestyle in cardiac patients.

Web-based distress management for implantable cardioverter defibrillator patients: A randomized controlled trial

OBJECTIVE

Sudden cardiac arrest caused by cardiac arrhythmias is 1 of the leading causes of death worldwide. Implantable cardioverter defibrillators (ICDs) are considered as standard care for patients with increased risk of arrhythmias. However, 1 in 4 ICD patients experiences psychological distress post-ICD implantation. The WEB-based distress management program for ICD patients (WEBCARE) was developed to mitigate anxiety and depression and enhance health-related quality of life in ICD patients. This study investigates the 6- and 12-months outcomes.

METHOD

A total of 289 consecutive ICD patients from 6 referral hospitals in the Netherlands were randomized to either the WEBCARE (n = 146) or usual care (n = 143) group. Patients in the WEBCARE group received an online, 12-weeks fixed, 6 lesson behavioral treatment based on problem solving therapy. Patients in the usual care group receive care as usual.

RESULTS

Current findings show no significant difference on anxiety, depression or quality of life between the WEBCARE and Usual Care group at 6- and 12-months postimplantation.

CONCLUSIONS

In this clinical trial of a Web-based behavioral intervention for ICD patients, the Web-based treatment was not superior to usual care on the long-term regarding patient reported outcomes. Future studies are warranted to examine the applicability of blended-care models and focus on further personalizing the program in order to increase adherence and improve outcomes. (PsycINFO Database Record

Enhancing Lifestyle Change in Cardiac Patients Through the Do CHANGE System ("Do Cardiac Health: Advanced New Generation Ecosystem"): Randomized Controlled Trial Protocol

BACKGROUND

Promoting a healthy lifestyle (eg, physical activity, healthy diet) is crucial for the primary and secondary prevention of cardiac disease in order to decrease disease burden and mortality.

OBJECTIVE

The current trial aims to evaluate the effectiveness of the Do Cardiac Health: Advanced New Generation Ecosystem (Do CHANGE) service, which is developed to assist cardiac patients in adopting a healthy lifestyle and improving their quality of life.

METHODS

Cardiac patients (ie, people who have been diagnosed with heart failure, coronary artery disease, and/or hypertension) will be recruited at three pilot sites (Badalona Serveis Assistencials, Badalona, Spain [N=75]; Buddhist Tzu Chi Dalin General Hospital, Dalin, Taiwan [N=100] and Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands [N=75]). Patients will be assisted by the Do Something Different (DSD) program to change their unhealthy habits and/or lifestyle. DSD has been developed to increase behavioral flexibility and subsequently adopt new (healthier) habits. In addition, patients' progress will be monitored with a number of (newly developed) devices (eg, Fitbit, Beddit, COOKiT, FLUiT), which will be integrated in one application.

RESULTS

The Do CHANGE trial will provide us with new insights regarding the effectiveness of the proposed intervention in different cultural settings. In addition, it will give insight into what works for whom and why.

CONCLUSIONS

The Do CHANGE service integrates new technologies into a behavior change intervention in order to change the unhealthy lifestyles of cardiac patients. The program is expected to facilitate long-term, sustainable behavioral change.

TRIAL REGISTRATION

Clinicaltrials.gov NCT03178305; https://clinicaltrials.gov/ct2/show/NCT03178305 (Archived by WebCite at http://www.webcitation.org/6wfWHvuyU).

Monitoring treatment expectations in patients with an implantable cardioverter-defibrillator using the EXPECT-ICD scale

AIMS

Patient treatment expectations may affect cardiac outcomes; however, till date, no validated instruments have been developed to monitor treatment expectations in patients with an implantable cardioverter-defibrillator (ICD). This study evaluates the predictive value of the newly developed 10-item EXPECtations Towards ICD therapy (EXPECT-ICD) in relation to anxiety, depression, and ICD related concerns 3 months post-implant.

METHODS AND RESULTS

Consecutive implanted ICD patients were included as part of the WEB-based distress management programme for ICD patients (WEBCARE) trial from six Dutch referral hospitals. The patients completed the baseline questionnaires briefly after ICD implantation. Information on clinical variables was captured from the patients' medical records. Patients' treatment expectations as assessed with the EXPECT-ICD questionnaire could best be represented with a two-factor model involving both negative (α = 0.84) and positive expectations (α = 0.77) with a score range of 0-20 for each factor. Negative treatment expectations were associated with higher levels of anxiety (β = 0.443; P < 0.001), depression (β = 0.506; P < 0.001), and ICD concerns (β = 0.428; P < 0.001) 3 months post-implant after controlling for demographic and clinical factors. Positive expectations were not related to any of the distress outcomes.

CONCLUSION

Negative expectations were associated with anxiety, depression, and ICD concerns 3 months post-implant. The current findings indicate that the EXPECT-ICD scale is a reliable, valid, and disease-specific measure of the treatment expectations in ICD patients. Future research needs to investigate whether addressing the patients' expectations might improve the outcome and the subjective well-being of ICD patients.

Lessons learned from an attempted randomized-controlled feasibility trial on "WIDeCAD" - An internet-based depression treatment for people living with coronary artery disease (CAD)

Despite the high prevalence of comorbid depression in people living with coronary artery disease (CAD), uptake of psychological treatment is generally low. This study was designed to investigate the feasibility of an internet-based cognitive-behavioral (iCBT) depression intervention for people with CAD and depressive symptoms.

METHODS

People with CAD and depressive symptoms (PHQ-9 ≥ 5) were randomly assigned to the eight modules comprising iCBT (N = 18), or waitlist-control (N = 16). Measures were taken at baseline (t1) and at post-treatment (eight weeks after randomization, t2). Feasibility-related outcomes were recruitment strategy, study attrition, intervention dropout, satisfaction, negative effects as well as the potential of the intervention to affect likely outcomes in a future full-scale trial (depression, anxiety, quality of life, fear of progression). Data analyses were based on intention-to-treat principles. Linear regression models were used to detect between group differences. Linear Mixed Models were used to model potential changes over time.

RESULTS

This trial was terminated prior to a-priori defined sample size has been reached given low recruitment success as well as high intervention dropout (88%) and study attrition (23%). On average, participants in the intervention group completed M = 2.78 (SD = 3.23) modules. Participants in the waitlist control group barely started one module (M = 0.82, SD = 1.81). The satisfaction with the intervention was low (M = 20.6, SD = 0.88). Participants reported no negative effects attributed to the iCBT. Differences between groups with regard to depression, anxiety, fear of progression and quality of life remained non-significant (p > 0.05).

CONCLUSION

This trial failed to recruit a sufficient number of participants. Future work should explore potential pitfalls with regards to the reach and persuasiveness of internet interventions for people living with CAD. The study gives important indications for future studies with regard to the need for new ideas to reach and treat people with CAD and depression.

Towards eHealth to support the health journey of headache patients: a scoping review

OBJECTIVE

The aim of this study is to (1) review the digital health tools that have been used in headache studies, and (2) discuss the effectivity and reliability of these tools.

BACKGROUND

Many headache patients travel a long and troublesome journey from first symptoms until a meaningful care plan. eHealth, mHealth, and digital therapeutic modalities have been advocated as the way forward to improve patient care.

METHOD

Online databases PubMed, Cinahl, and PsycINFO were searched using a predefined search query. A data extraction form was used to gather relevant data elements from the selected papers.

RESULTS

A total of 39 studies were selected. The studies included 94,127 participants. The majority of studies focused on diaries (N = 27 out of 39). Digital (cognitive) behavioral therapy were also quite common (N = 7 out of 39). Other digital health tool categories were tele-consultations, telemonitoring and patient portals.

CONCLUSION

Many digital health tools for headache patients regarding diaries and behavioral/therapeutical treatment are described in scientific research with limited information on effectivity and reliability. Scientific knowledge with regard to other categories such as tele-consultations, patient portals, telemonitoring including medication adherence, online information resources, wearable, symptom checkers, digital peer support is still scarce or missing.

Sleep disturbance in patients with an implantable cardioverter defibrillator: Prevalence, predictors and impact on health status

Background:

Sleep disturbances are highly prevalent in patients with cardiac diseases and associated with poor health outcomes. However, little is known about sleep disturbance in patients with an implantable cardioverter defibrillator.

Aims:

We examined the prevalence and predictors of sleep disturbance and the impact on perceived health status in a Dutch cohort of implantable cardioverter defibrillator patients.

Methods:

Patients (n=195) enrolled in the Web-based distress program for implantable cardioverter defibrillator patients (WEBCARE) trial completed questionnaires at the time of implantable cardioverter defibrillator implantation, three, six and 12 months afterwards. Sleep disturbance was assessed with the corresponding item #3 of the Patient Health Questionnaire 9.

Results:

At baseline, 67% (n=130) reported sleep disturbance (cut off ≥1). One year later, the prevalence was 57% (n=112). Younger age (odds ratio=0.96, 95% confidence interval 0.92–0.99; p=0.012) and high negative affectivity/low social inhibition (odds ratio=4.47, 95% confidence interval 1.52–13.17; p=0.007) were associated with sleep disturbance at 12 months in adjusted analyses. Sleep disturbance was not associated with health status at 12 months. Charlson Comorbidity Index, anxiety, Type D personality and high negative affectivity/low social inhibition were associated with impaired health status at follow-up.

Conclusions:

Sleep disturbance was highly prevalent in patients with an implantable cardioverter defibrillator. Younger age and high negative affectivity predicted sleep disturbance 12 months post-implantation independent of other demographic, clinical, intervention and psychological covariates. Sleep disturbance was not associated with impaired health status at the 12-month follow-up.

Prevalence of anxiety and risk associated with ventricular arrhythmia in patients with an implantable cardioverter defibrillator

BACKGROUND

Anxiety has been associated with adverse clinical outcomes in patients who have received an implantable cardioverter defibrillator (ICD). However, results are inconclusive likely due to different measures being used to assess anxiety. Hence, the current study aims to examine the prevalence and the association between anxiety, ventricular tachyarrhythmia's (VTa's) and all-cause mortality, respectively.

METHODS

Patients who received an ICD for the first time were recruited from 6 Dutch referral hospitals as part of the WEBCARE trial. Patients filled in validated questionnaires (GAD-7, STAI-S, HADS-A, ANX4, ICDC, FSAS) to assess their baseline anxiety symptomatology. Logistic regression analysis and Cox Regression analysis were performed to examine the association between anxiety with 1) VTa's and 2) mortality, respectively.

RESULTS

A total of 214 Patients were included in the analysis with mean age 58.9 and 82.7% being male. The prevalence rates of anxiety varied depending on which questionnaire was used 12.4% (GAD-7), 17.5% (HADS-A), and 28.1% (STAI-S). (Cox) Regression analysis revealed that none of the anxiety measures was associated with VTa's or all-cause mortality in the current sample. Stratifying the sample by gender, the analysis showed that GAD-7, STAI-S, and ANX4 scores were associated with increased risk of VTa's but only in male patients.

CONCLUSIONS

Prevalence rates of anxiety varied depending on the measurement tool used. No significant association between anxiety and VTa's and all-cause mortality was observed in the total sample. GAD-7, STAI-S, and ANX4 were associated with increased risk for VTa's but only in male patients.

Personality traits, ventricular tachyarrhythmias, and mortality in patients with an implantable cardioverter defibrillator: 6 years follow-up of the WEBCARE cohort

OBJECTIVE

Risk stratification within the ICD population warrants the examining of the role of protective- and risk factors. Current study examines the association between Type D personality, pessimism, and optimism and risk of ventricular tachyarrhythmias (VTa's) and mortality in patients with a first-time ICD 6 years post implantation.

METHODS

A total of 221 first-implant ICD patients completed questionnaires on optimism and pessimism (Life Orientation Test) and Type D personality (Type D scale DS14) 10 to 14 days after implantation. VTa's and all-cause mortality 6 years post implant comprised the study endpoints.

RESULTS

Ninety (40.7%) patients had experienced VTa's and 37 (16.7%) patients died, 12 (5.4%) due to a cardiac cause. Adjusted logistic regression analysis showed that pessimism was significantly associated with increased risk of VTa's (OR = 1.09; 95% CI = 1.00-1.19; p = .05). Type D personality (OR = 1.05; 95% CI = 0.47-2.32; p = .91) and optimism (OR = 1.00; 95% CI = 0.90-1.12; p = .98) were not associated with VTa's. None of the personality types were associated with mortality.

CONCLUSION

Pessimism was associated with VTa's but not with mortality. No significant association with either of the endpoints was observed for Type D personality and optimism. Future research should focus on the coexistent psychosocial factors that possibly lead to adverse cardiac prognosis in this patient population.

Patients Managing Their Medical Data in Personal Electronic Health Records: Scoping Review

BACKGROUND

Personal electronic health records (PEHRs) allow patients to view, generate, and manage their personal and medical data that are relevant across illness episodes, such as their medications, allergies, immunizations, and their medical, social, and family health history. Thus, patients can actively participate in the management of their health care by ensuring that their health care providers have an updated and accurate overview of the patients' medical records. However, the uptake of PEHRs remains low, especially in terms of patients entering and managing their personal and medical data in their PEHR.

OBJECTIVE

This scoping review aimed to explore the barriers and facilitators that patients face when deciding to review, enter, update, or modify their personal and medical data in their PEHR. This review also explores the extent to which patient-generated and -managed data affect the quality and safety of care, patient engagement, patient satisfaction, and patients' health and health care services.

METHODS

We searched the MEDLINE, Embase, CINAHL, PsycINFO, Cochrane Library, Web of Science, and Google Scholar web-based databases, as well as reference lists of all primary and review articles using a predefined search query.

RESULTS

Of the 182 eligible papers, 37 (20%) provided sufficient information about patients' data management activities. The results showed that patients tend to use their PEHRs passively rather than actively. Patients refrain from generating and managing their medical data in a PEHR, especially when these data are complex and sensitive. The reasons for patients' passive data management behavior were related to their concerns about the validity, applicability, and confidentiality of patient-generated data. Our synthesis also showed that patient-generated and -managed health data ensures that the medical record is complete and up to date and is positively associated with patient engagement and patient satisfaction.

CONCLUSIONS

The findings of this study suggest recommendations for implementing design features within the PEHR and the construal of a dedicated policy to inform both clinical staff and patients about the added value of patient-generated data. Moreover, clinicians should be involved as important ambassadors in informing, reminding, and encouraging patients to manage the data in their PEHR.

Technological Innovations in Biobehavioral and Psychosomatic Medicine

ABSTRACT

The role of technological innovations in health care has increased over the past years and will continue to improve the diagnosis, monitoring, and treatment of various physical and mental disorders. In biobehavioral and psychosomatic medicine, the use of technology has also increased in both research and clinical contexts. The articles in the current special issue of Psychosomatic Medicine focus on technological solutions that have been applied to patient-monitoring/assessment (health-related behaviors and vital functioning) and treatment (ehealth and mhealth interventions). Although such solutions are promising and considered acceptable by patients and health care providers, important barriers have also been identified regarding the implementation of these technological advances. Topics addressed in this issue cover the following themes: the use of biological and behavioral sensors that are linked to user smartphones, technological innovations in clinical conditions (asthma, alcohol-associated liver disease, and chronic pain), the use of virtual humans in clinical settings, digital mental health interventions, and the importance of reducing health disparities in the development and implementation of technological innovation. These topics are critically relevant to the field of biobehavioral and psychosomatic medicine and provide future directions for research and clinical practice.

Internet-Delivered, Therapist-Assisted Treatment for Anxiety and Depression in Patients with Cardiovascular Disease: Evidence-Base and Challenges

PURPOSE OF REVIEW

This review focuses on the efficacy of internet-based psychological interventions for patients with cardiovascular disease (CVD) and comorbid anxiety and depression. Anxiety and depression comprise barriers for treatment adherence and are associated with poorer patient-reported and clinical outcomes, and greater health care costs.

RECENT FINDINGS

Internet-based, therapist-assisted interventions targeting anxiety and depression can be as efficacious as face-to-face therapy and may have some advantages, as patients can do it from their own laptop/smartphone at home at a time of their convenience, which may facilitate a better integration in their lives. To enhance the field of internet-based therapy for patients with CVD, we need to involve patients in the development of interventions, focus on developing standards for adherence and assessment of fidelity, and assess and augment health literacy in patients to safeguard equality in health care.

Ethics of Wearable-Based Out-of-Hospital Cardiac Arrest Detection

Out-of-hospital cardiac arrest is a major health problem, and immediate treatment is essential for improving the chances of survival. The development of technological solutions to detect out-of-hospital cardiac arrest and alert emergency responders is gaining momentum; multiple research consortia are currently developing wearable technology for this purpose. For the responsible design and implementation of this technology, it is necessary to attend to the ethical implications. This review identifies relevant ethical aspects of wearable-based out-of-hospital cardiac arrest detection according to four key principles of medical ethics. First, aspects related to beneficence concern the effectiveness of the technology. Second, nonmaleficence requires preventing psychological distress associated with wearing the device and raises questions about the desirability of screening. Third, grounded in autonomy are empowerment, the potential reidentification from continuously collected data, issues of data access, bystander privacy, and informed consent. Finally, justice concerns include the risks of algorithmic bias and unequal technology access. Based on this overview and relevant legislation, we formulate design recommendations. We suggest that key elements are device accuracy and reliability, dynamic consent, purpose limitation, and personalization. Further empirical research is needed into the perspectives of stakeholders, including people at risk of out-of-hospital cardiac arrest and their next-of-kin, to achieve a successful and ethically balanced integration of this technology in society.

Effectiveness of behavior change techniques in eHealth-based cardiac rehabilitation in patients with coronary artery disease: A systematic review: Effective behavior change techniques in eHealth CR

Background

Participation in cardiac rehabilitation (CR) reduces risk of cardiovascular mortality, improves functional capacity and enhances quality of life in patients with coronary artery disease (CAD). eHealth-based CR can increase participation rates, but research into effective components is necessary. The objective of this systematic review was to identify effective behavior change techniques (BCTs) used in eHealth-based CR interventions.

Methods

A search of four databases (CINAHL, PubMed, PsychINFO, and MEDLINE) was conducted until January 10, 2023. Randomized controlled trials investigating eHealth-based interventions for patients with CAD were included. Risk of bias was assessed using the Effective Public Healthcare Practice Project tool. BCTs were coded following the Behavior Change Taxonomy. A best-evidence synthesis was conducted to determine the effectiveness of BCTs, with ratings ranging from A (strong evidence indicating either a positive effect (+) or no effect (-)) to D (no data collected).

Results

A total of 88 studies (25,007 participants) met the eligibility criteria. The interventions in these studies used 31 different BCTs. The most common BCTs were instructions on how to perform the behavior (k = 86), social support (k = 69) and and information about health consequences (k = 56). The evidence for action planning was rated as A+ for medication adherence and diet. Conversely, for systematically decreasing the number of prompts/cues sent during an intervention, the evidence was rated as A- for physical activity, medication adherence and smoking cessation. The evidence for feedback on behavior was rated as A+ for medication adherence and A- for smoking cessation.

Conclusions

Action planning is effective as a BCT in eHealth-based CR, whereas reducing prompts/cues is not. Feedback on behavior may, depending on the behavior targeted, exert both positive and no effect, suggesting that BCT-behavior matching is important to optimize effectiveness of eHealth-based CR.

Patient-reported preferences in eHealth-based cardiac rehabilitation: A qualitative investigation of behavior change techniques, barriers and facilitators

Background

Cardiac rehabilitation (CR) reduces recurrent cardiac events and mortality in patients with cardiovascular diseases (CVD). Innovative eHealth methods can facilitate CR uptake and effectiveness by addressing barriers associated with clinic-based rehabilitation. Tailoring eHealth-based CR to patient preferences is needed to further enhance CR.

Purpose

To identify preferred behavior change techniques (BCTs) as well as barriers and facilitators for the different health behaviors targeted in eHealth-based CR among patients who have been referred to CR.

Methods

Thirty-nine patients were interviewed in nine focus groups in The Netherlands, Germany, and Spain. A thematic analysis, using a combined deductive and inductive approach to coding, was conducted to identify BCTs and barriers and facilitators to behavior change. Behaviors under investigation included physical activity, medication adherence, eating a cardiac healthy-diet, stress reduction and smoking cessation.

Results

The perceived helpfulness of BCTs depended on the specific behavior targeted. Common barriers were negative emotional state and physical limitations. A desire to feel physically or mentally well and having experienced a cardiac life event were the most common facilitators across health behaviors. Specific BCTs, barriers and facilitators were found for each of the health behavior.

Conclusions

Behavior change techniques that patients preferred for each health behavior targeted in eHealth-based CR were identified. A negative emotional state, experiencing a life event, and improving physical functioning are important barriers and facilitators in multiple behaviors targeted in eHealth-based CR programs. Additional tailoring of interventions to patient preferences for BCTs and patient-specific barriers and facilitators per health behavior could lead to further improvement of eHealth-based CR.

Healthcare utilization in patients with first-time implantable cardioverter defibrillators (data from the WEBCARE study)

BACKGROUND

Knowledge of the level of healthcare utilization (HCU) and the predictors of high HCU use in patients with an implantable cardioverter defibrillator (ICD) is lacking. We examined the level of HCU and predictors associated with increased HCU in first-time ICD patients, using a prospective study design.

METHODS

ICD patients (N = 201) completed a set of questionnaires at baseline and 3, 6, and 12 months after inclusion. A hierarchical multiple linear regression with three models was performed to examine predictors of HCU.

RESULTS

HCU was highest between baseline and 3 months postimplantation and gradually decreased during 12 months follow-up. During the first year postimplantation, only depression (β = 0.342, P = 0.002) was a significant predictor. Between baseline and 3 months follow-up, younger age (β = -0.220, P < 0.01), New York Heart Association class III/IV (β = 0.705, P = 0.01), and secondary indication (β = 0.148, P = 0.05) were independent predictors for increased HCU. Between 3 and 6 months follow-up, younger age (β = -0.151, P = 0.05) and depression (β = 0.370, P < 0.001) predicted increased HCU. Between 6 and 12 months only depression (β = 0.355, P = 0.001) remained a significant predictor.

CONCLUSIONS

Depression was an important predictor of increased HCU in ICD patients in the first year postimplantation, particularly after 3 months postimplantation. Identifying patients who need additional care and provide this on time might better meet patients' needs and lower future HCU.

Latent profiles of telehealth care satisfaction during the COVID-19 pandemic among patients with cardiac conditions in an outpatient setting

Background

During the COVID-19 pandemic, telemedicine was advocated and rapidly scaled up worldwide. However, little is known about for whom this type of care is acceptable.

Objective

To examine which patient characteristics (demographic, medical, psychosocial) are associated with telehealth care satisfaction, attitude toward telehealth, and preference regarding telehealth over time in a cardiac patient population.

Methods

In total, 317 patients were recruited at the Elisabeth-TweeSteden Hospital in The Netherlands. All patients who had received telehealth care (telephone and video) in the previous 2 months were approached for participation. Baseline, 3-month, and 6-month questionnaires were administered online. A 3-step latent class analysis was conducted to identify trajectories of telehealth use over time and the possible association of the found trajectories with external variables.

Results

Five trajectories (classes) were identified for satisfaction with telehealth and 4 for attitude toward telehealth. Patients with higher distress, lower physical and mental health, higher scores on pessimism, and negative affectivity were more likely to be less satisfied. Patients with no partner, more comorbidities, higher distress, lower physical and mental health, and higher scores on pessimism were more likely to hold a negative attitude toward telehealth. For the future application of telehealth, marital status, comorbidities, digital health literacy, and pessimism were significantly related.

Conclusion

Results show that patients' profiles should be considered when offering telehealth care and that the "one size fits all" approach does not apply. Results can inform clinical practice on how to better implement remote health care in the future while considering a personalized approach.