Publications by authors named "Mirela Habibovic"

Article Synopsis
  • The study explores the experiences and needs of informal caregivers (ICs) involved in shared decision-making (SDM) for patients over 70 with severe aortic stenosis (AS).
  • It found that while most ICs prefer to be collaborative partners in decision-making, they often feel overlooked by healthcare professionals when it comes to discussing the patient's daily life.
  • Higher perceived involvement in SDM is linked to better quality of life and lower distress for ICs, emphasizing the need for professionals to actively include them in the decision-making process.
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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.

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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.

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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.

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Background: The use of eHealth technology in cardiac rehabilitation (CR) is a promising approach to enhance patient outcomes since adherence to healthy lifestyles and risk factor management during phase III CR maintenance is often poorly supported. However, patients' needs and expectations have not been extensively analyzed to inform the design of such eHealth solutions.

Objective: The goal of this study was to provide a detailed patient perspective on the most important functionalities to include in an eHealth solution to assist them in phase III CR maintenance.

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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).

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Article Synopsis
  • This study aimed to quantitatively analyze the impact of eHealth interventions on health outcomes for patients with coronary artery disease during the maintenance phase of cardiovascular rehabilitation.
  • A systematic review was conducted, including 14 studies with 1497 patients, which showed that eHealth significantly improved physical activity, exercise capacity, quality of life, and reduced systolic blood pressure compared to usual care.
  • Effective behavioral change techniques included self-monitoring, goal setting, and feedback, but more data is needed on eHealth’s effects on morbidity and mortality in this patient population.
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One of the essential elements in managing health is having adequate communication with health care providers. Unfortunately, patients with a low socioeconomic status (SES) often experience less adequate communication with their doctor. In the current study, we explore and compare the communication of both doctors and patients from lower and higher sociodemographic backgrounds on three factors: instrumental, affective, and patient-centered communication.

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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.

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Objective: To examine the associations between mental health and lifestyle in adults with type 1 and type 2 diabetes mellitus (T1DM and T2DM).

Methods: Online survey data from the cross-sectional Diabetes MILES - The Netherlands Study was analysed, including 270 adults with T1DM and 325 with T2DM. Mental health status (flourishing, moderate and languishing) in relation to diet, physical activity, alcohol consumption and smoking was analysed with ANCOVA and logistic regressions (adjusted for confounders).

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Objective: Health behaviors (e.g., physical inactivity, poor diet) are associated with poor prognosis and mortality in cardiac patients.

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The COVID-19 pandemic has a substantial impact on mental health. Prior reports have shown that depression, anxiety, and stress have increased throughout the pandemic. Nonetheless, not everyone is affected by these negative consequences and some people may be relatively unaffected.

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Unlabelled: 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 ( = 18), or waitlist-control ( = 16).

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Background: During the last few decades, preventing the development of cardiovascular disease has become a mainstay for reducing cardiovascular morbidity and mortality. It has been suggested that interventions should focus more on committed approaches of self-care, such as electronic health techniques.

Objective: This study aimed to provide evidence to understand the financial consequences of implementing the "Do Cardiac Health: Advanced New Generation Ecosystem" (Do CHANGE 2) intervention, which was evaluated in a multisite randomized controlled trial to change the health behavior of patients with cardiovascular disease.

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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.

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Background: Behavior change methods involving new ambulatory technologies may improve lifestyle and cardiovascular disease outcomes.

Objective: This study aimed to provide proof-of-concept analyses of an intervention aiming to increase (1) behavioral flexibility, (2) lifestyle change, and (3) quality of life. The feasibility and patient acceptance of the intervention were also evaluated.

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Objective: Social behavior (e.g., loneliness, isolation) has been indicated as an important risk factor for cardiovascular disease.

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Objective: Unhealthy life-style factors have adverse outcomes in cardiac patients. However, only a minority of patients succeed to change unhealthy habits. Personalization of interventions may result in critical improvements.

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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.

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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.

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New technologies are increasingly evaluated for use within the clinical practice to monitor patients' medical and lifestyle data. This development could contribute to a more personalized approach to patient care and potentially improve health outcomes. To date, patient perspective on this development has mostly been neglected in the literature.

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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]).

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Objective: Patients with an implantable cardioverter defibrillator (ICD) and co-morbid depression are at greater risk of poor quality of life and premature death. We examined if treatment expectations predict depressive symptoms 12months post implant.

Methods: First-time implant patients from the WEBCARE study (n=177; 83.

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