Understanding needs and expectations of heart failure patients and their caregivers regarding digital health - the PASSION-HF project

Funding Acknowledgements

Type of funding sources: Public grant(s) – EU funding. Main funding source(s): INTERREG-NWE

Background/Introduction

Current heart failure (HF) healthcare provision is not sufficient. Due to demographic changes and subsequent increases in comorbidities, along with unequal distribution of medical care in rural areas, alternative approaches need be sought. The use of eHealth applications has potential to enable patients to become more self-sufficient. The "PASSION-HF" project aims to develop an interactive decision-making system – a virtual doctor – that provides solutions based on current guidelines and artificial intelligence. Patient independence is maximized through 24/7 access to personalized HF-management. Furthermore, the application defines decision points, where medical professionals need to be included.

Purpose

To understand needs and expectations of HF patients and their informal caregivers in regard to a virtual doctor.

Methods

We conducted an exploratory mixed-methods study within the Netherlands, UK, Ireland and Germany. Semi-structured qualitative interviews were supplemented by a standardized questionnaire. The interviews focused on i) acceptance and motivation to use a virtual doctor and ii) experience and perception of current health care provision. The interviews were analysed using the content analysis according to Mayring (2010) with the help of "ATLAS.TI" software. Additional information about the role of informal caregivers, technology acceptance and decision-making processes was collected via questionnaires.

Results

A total of 49 patients and 33 informal caregivers were interviewed. Most patients were male (76%), aged between 60 and 69 years (43%). Three key themes were identified in regard to an interactive decision-making system: 1) Reassurance, because patients felt uncertain about their condition and their symptoms, they had a strong desire for an application that could monitor their health 24/7, was able to spot deteriorations, before they occured and gave them instant feedback about their current health status; 2) Personalized advice, e.g. patients wanted the virtual doctor to adapt medication, sport activities and food recommendations to their current health status; and 3) Transparency, e.g. patients wanted to know, where the recommendations are coming from and justifications for management modifications. Interview findings also identified that the HF-nurses play a significant role in the care and management of the condition. Across all countries with HF-nurses, they were the primary point of contact, when patients had any HF related concerns. 

Conclusion

The findings provide valuable information for the development and implementation of eHealth solutions. Patients want reassurance, independently of the availability of healthcare services, combined with personalized advice regarding day-to-day management of their HF. For the next step, we are planning a multicentre clinical trial to test the prototype of the application. Here all decisions are examined by a clinical committee and benefits are evaluated.

Determinants of acceptance of patients with heart failure and their informal caregivers regarding an interactive decision-making system: a qualitative study

OBJECTIVE

Heart failure is a growing challenge to healthcare systems worldwide. Technological solutions have the potential to improve the health of patients and help to reduce costs. Acceptability is a prerequisite for the use and a successful implementation of new disruptive technologies. This qualitative study aimed to explore determinants that influence the acceptance of patients and their informal caregivers regarding a patient-oriented digital decision-making solution-a doctor-at-home system.

DESIGN

We applied a semistructured design using an interview guide that was based on a theoretical framework influenced by established acceptance theories. The interviews were analysed using a content analysis.

SETTING

A multicentred study in four European countries.

PARTICIPANTS

We interviewed 49 patients and 33 of their informal caregivers. Most of the patients were male (76%) and aged between 60 and 69 years (43%). Informal caregivers were mostly female (85%). The majority of patients (55%) suffered from heart failure with mild symptoms.

RESULTS

Four main categories emerged from the data: needs and expectations, preferences regarding the care process, perceived risk and trust. Participants expressed clear wishes and expectations regarding a doctor-at-home, especially the need for reassurance and support in the management of heart failure. They were receptive to changes to the current healthcare processes. However, trust was identified as an important basis for acceptance and use. Finally, perceived risk for decision-making errors is a crucial topic in need of attention.

CONCLUSION

Patients and informal caregivers see clear benefits of digitalisation in healthcare. They perceive that an interactive decision-making system for patients could empower and enable effective self-care. Our results provide important insights for development processes of patient-centred decision-making systems by identifying facilitators and barriers for acceptance. Further research is needed, especially regarding the influence and mitigation of patients and informal caregivers' perceived risks.

Intravenous immunoglobulin therapy in adult patients with idiopathic chronic cardiomyopathy and cardiac parvovirus B19 persistence: a prospective, double-blind, randomized, placebo-controlled clinical trial

AIMS

Previous uncontrolled studies suggested a possible benefit of intravenous immunoglobulin (IVIg) in parvovirus B19 (B19V)-related dilated cardiomyopathy (DCM). This randomized, double-blind, placebo-controlled, single-centre trial investigated the benefits of IVIg beyond conventional therapy in idiopathic chronic DCM patients with B19V persistence.

METHODS AND RESULTS

Fifty patients (39 men; mean age 54 ± 11 years) with idiopathic chronic (>6 months) DCM on optimal medical therapy, left ventricular ejection fraction (LVEF) <45%, and endomyocardial biopsy (EMB) B19V load of >200 copies/µg DNA were blindly randomized to either IVIg (n = 26, 2 g/kg over 4 days) or placebo (n = 24). The primary outcome was change in LVEF at 6 months after randomization. Secondary outcomes were change in functional capacity assessed by 6-min walk test (6MWT), quality of life [Minnesota Living with Heart Failure Questionnaire (MLHFQ)], left ventricular end-diastolic volume (LVEDV), and EMB B19V load at 6 months after randomization. LVEF significantly improved in both IVIg and placebo groups (absolute mean increase 5 ± 9%, P = 0.011 and 6 ± 10%, P = 0.008, respectively), without a significant difference between groups (P = 0.609). Additionally, change in 6MWT [median (interquartile range) IVIg 36 (13;82) vs. placebo 32 (5;80) m; P = 0.573], MLHFQ [IVIg 0 (-7;5) vs. placebo -2 (-6;6), P = 0.904] and LVEDV (IVIg -16 ± 49 mL/m² vs. placebo -29 ± 40 mL/m² ; P = 0.334) did not significantly differ between groups. Moreover, despite increased circulating B19V antibodies upon IVIg administration, reduction in cardiac B19V did not significantly differ between groups.

CONCLUSION

Intravenous immunoglobulin therapy does not significantly improve cardiac systolic function or functional capacity beyond standard medical therapy in patients with idiopathic chronic DCM and cardiac B19V persistence.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov ID NCT00892112.

Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care

Heart failure (HF) is one of the most complex chronic disorders with high prevalence, mainly due to the ageing population and better treatment of underlying diseases. Prevalence will continue to rise and is estimated to reach 3% of the population in Western countries by 2025. It is the most important cause of hospitalisation in subjects aged 65 years or more, resulting in high costs and major social impact. The current “one-size-fits-all” approach in the treatment of HF does not result in best outcome for all patients. These facts are an imminent threat to good quality management of patients with HF. An unorthodox approach from a new vision on care is required. We propose a novel predictive, preventive and personalised medicine approach where patients are truly leading their management, supported by an easily accessible online application that takes advantage of artificial intelligence. This strategy paper describes the needs in HF care, the needed paradigm shift and the elements that are required to achieve this shift. Through the inspiring collaboration of clinical and high-tech partners from North-West Europe combining state of the art HF care, artificial intelligence, serious gaming and patient coaching, a virtual doctor is being created. The results are expected to advance and personalise self-care, where standard care tasks are performed by the patients themselves, in principle without involvement of healthcare professionals, the latter being able to focus on complex conditions. This new vision on care will significantly reduce costs per patient while improving outcomes to enable long-term sustainability of top-level HF care.

MicroRNA-18 and microRNA-19 regulate CTGF and TSP-1 expression in age-related heart failure

To understand the process of cardiac aging, it is of crucial importance to gain insight into the age-related changes in gene expression in the senescent failing heart. Age-related cardiac remodeling is known to be accompanied by changes in extracellular matrix (ECM) gene and protein levels. Small noncoding microRNAs regulate gene expression in cardiac development and disease and have been implicated in the aging process and in the regulation of ECM proteins. However, their role in age-related cardiac remodeling and heart failure is unknown. In this study, we investigated the aging-associated microRNA cluster 17–92, which targets the ECM proteins connective tissue growth factor (CTGF) and thrombospondin-1 (TSP-1). We employed aged mice with a failure-resistant (C57Bl6) and failure-prone (C57Bl6 × 129Sv) genetic background and extrapolated our findings to human age-associated heart failure. In aging-associated heart failure, we linked an aging-induced increase in the ECM proteins CTGF and TSP-1 to a decreased expression of their targeting microRNAs 18a, 19a, and 19b, all members of the miR-17–92 cluster. Failure-resistant mice showed an opposite expression pattern for both the ECM proteins and the microRNAs. We showed that these expression changes are specific for cardiomyocytes and are absent in cardiac fibroblasts. In cardiomyocytes, modulation of miR-18/19 changes the levels of ECM proteins CTGF and TSP-1 and collagens type 1 and 3. Together, our data support a role for cardiomyocyte-derived miR-18/19 during cardiac aging, in the fine-tuning of cardiac ECM protein levels. During aging, decreased miR-18/19 and increased CTGF and TSP-1 levels identify the failure-prone heart.