Effects of a Tablet Computer on Self-care, Quality of Life, and Knowledge: A Randomized Clinical Trial

Patient participation in self-monitoring regarding healthcare of heart failure: an integrated systematic review

BACKGROUND

Self-monitoring in cases of heart failure (HF) can lead to improved health and early detection of states of illness, potentially avoiding unnecessary hospitalisation. Legislation emphasizes the importance of patient participation in health care. This is possible and simplified due to the ongoing digitalisation within the healthcare system. The aim of this study was therefore to describe existing research knowledge on patient participation in self-monitoring regarding healthcare of HF, in the context of digitalisation of healthcare.

METHODS

A systematic literature review with an integrative approach was conducted February 2021 (6 years) and April 2024 (9 years). The review consisted of 12 articles accumulated from four databases. The review was performed in line with the standards of the PRISMA statement, registration number: PROSPERO 2021:244,252.

RESULTS

A total of twelve studies were included, both quantitative and qualitative research. The studies had a wide international spread and included a total of n = 1393 patients aged between 52-77 years, predominantly men. Various aspects of patient participation are the three themes: 'Self-care ability', 'Interaction with healthcare professionals', and 'Empowerment and Individual preferences'. The results indicate that self-monitoring has a predominantly positive effect on self-care behavior and satisfaction with care. Increased awareness and confidence in patients´ own self-care abilities were reported especially in qualitative studies. Through the use of self-monitoring, information and knowledge about HF led to increased control of the disease. Additionally, differences between qualitative and quantitative studies are demonstrated even in this partial result. The qualitative studies showed an increased understanding of disease situations, but corresponding conformity is not shown in quantitative research, and an increased level of knowledge is not yet proven.

CONCLUSIONS

The fact that there is a lack of empirical data in this field of research and that the available data is not coherent indicates that additional studies are required. In step with increased digitalisation and that great responsibility is placed on patient participation, there is a demand for patient studies that embrace a pronounced patient perspective with individual components of self-monitoring.

Remote patient monitoring in heart failure: A comprehensive meta-analysis of effective programme components for hospitalization and mortality reduction

AIMS

Methods of non-invasive remote patient monitoring (RPM) for heart failure (HF) remain diverse. Understanding factors that influence the effectiveness of RPM on HF-related and all-cause hospitalizations, mortality, and emergency department visits is crucial for developing successful RPM interventions. This meta-analysis aims to synthesize and compare existing literature on RPM components that impact HF-related and all-cause hospitalizations, mortality and emergency department visits in HF patients.

METHODS AND RESULTS

A systematic search of electronic databases (PubMed, EMBASE, CENTRAL) identified randomized controlled trials from January 2012 to June 2023, comparing non-invasive RPM interventions for HF with usual care. A random-effects meta-analysis assessed outcomes, and additional analyses identified effective RPM components. A total of 41 studies with 16 312 patients (mean follow-up: 9.88 ± 6.37 months) were included. RPM was associated with lower mortality risk (pooled odds ratio [OR] 0.81 95% confidence interval [CI] 0.69-0.95; I2 = 0.39) and reduced first HF hospitalization risk (pooled OR 0.78, 95% CI: 0.70-0.87; I2 = 0.21) compared to usual care. RPM interventions with a self-management module (p < 0.001) and education module (p = 0.028) significantly lowered HF-related hospitalizations. Video calls during RPM interventions further reduced HF-related (p = 0.047) and all-cause hospitalizations (p < 0.001).

CONCLUSION

This meta-analysis confirms the efficacy of RPM in reducing HF-related hospitalizations and mortality. Effective components include self-management, education modules, and video communication. However, heterogeneity among interventions challenges the overall evaluation. Modernizing RPM with advanced technologies like non-invasive sensors, artificial intelligence, and cardiac telerehabilitation could enhance its potential.

Patient-Centered mHealth Intervention to Improve Self-Care in Patients With Chronic Heart Failure: Phase 1 Randomized Controlled Trial

BACKGROUND

Heart failure (HF) is one of the most common causes of hospital readmission in the United States. These hospitalizations are often driven by insufficient self-care. Commercial mobile health (mHealth) technologies, such as consumer-grade apps and wearable devices, offer opportunities for improving HF self-care, but their efficacy remains largely underexplored.

OBJECTIVE

The objective of this study was to examine the feasibility, acceptability, safety, and preliminary efficacy of a patient-centered mHealth intervention (iCardia4HF) that integrates 3 consumer mHealth apps and devices (Heart Failure Health Storylines, Fitbit, and Withings) with a program of individually tailored SMS text messages to improve HF self-care.

METHODS

We conducted a phase 1 randomized controlled trial. Eligible patients had stage C HF, were aged ≥40 years, and had New York Heart Association (NYHA) class I, II, or III HF. Patients were randomly assigned to either iCardia4HF plus usual care or to usual care only and were observed for 8 weeks. Key feasibility measures were recruitment and retention rates. The primary efficacy outcome was change in HF self-care subscale scores (maintenance, symptom perception, and self-care management) at 8 weeks, assessed with the Self-Care Heart Failure Index (SCHFI; version 7.2). Key secondary outcomes were modifiable behaviors targeted by the intervention (health beliefs, self-efficacy, and HF knowledge), health status, and adherence to daily self-monitoring of 2 core vital signs (body weight and blood pressure).

RESULTS

A total of 27 patients were enrolled in the study and randomly assigned to iCardia4HF (n=13, 48%) or usual care (n=14, 52%). Of these 27 patients, 11 (41%) in the intervention group (iCardia4HF) and 14 (52%) in the usual care group started their assigned care and were included in the full analysis. Patients' mean age was 56 (SD 8.3) years, 44% (11/25) were female, 92% (23/25) self-reported race as Black, 76% (19/25) had NYHA class II or III HF, and 60% (15/25) had HF with reduced left ventricular ejection fraction. Participant retention, completion of study visits, and adherence to using the mHealth apps and devices for daily self-monitoring were high (>80%). At 8 weeks, the mean group differences in changes in the SCHFI subscale scores favored the intervention over the control group: maintenance (Cohen d=0.19, 95% CI -0.65 to 1.02), symptom perception (Cohen d=0.33, 95% CI -0.51 to 1.17), and self-care management (Cohen d=0.25, 95% CI -0.55 to 1.04). The greatest improvements in terms of effect size were observed in self-efficacy (Cohen d=0.68) and health beliefs about medication adherence (Cohen d=0.63) and self-monitoring adherence (Cohen d=0.94). There were no adverse events due to the intervention.

CONCLUSIONS

iCardia4HF was found to be feasible, acceptable, and safe. A larger trial with a longer follow-up duration is warranted to examine its efficacy among patients with HF.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03642275; https://clinicaltrials.gov/study/NCT03642275.

Testing the Recruitment Frequency, Implementation Fidelity, and Feasibility of Outcomes of the Heart Failure Activity Coach Study (HEALTHY): Pilot Randomized Controlled Trial

BACKGROUND

Heart failure (HF) is a common and deadly disease, precipitated by physical inactivity and sedentary behavior. Although the 1-year survival rate after the first diagnosis is high, physical inactivity and sedentary behavior are associated with increased mortality and negatively impact the health-related quality of life (HR-QoL).

OBJECTIVE

We tested the recruitment frequency, implementation fidelity, and feasibility of outcomes of the Activity Coach app that was developed using an existing mobile health (mHealth) tool, Optilogg, to support older adults with HF to be more physically active and less sedentary.

METHODS

In this pilot clinical randomized controlled trial (RCT), patients with HF who were already using Optilogg to enhance self-care behavior were recruited from 5 primary care health centers in Sweden. Participants were randomized to either have their mHealth tool updated with the Activity Coach app (intervention group) or a sham version (control group). The intervention duration was 12 weeks, and in weeks 1 and 12, the participants wore an accelerometer daily to objectively measure their physical activity. The HR-QoL was measured with the Kansas City Cardiomyopathy Questionnaire (KCCQ), and subjective goal attainment was assessed using goal attainment scaling. Baseline data were collected from the participants' electronic health records (EHRs).

RESULTS

We found 67 eligible people using the mHealth tool, of which 30 (45%) initially agreed to participate, with 20 (30%) successfully enrolled and randomized to the control and intervention groups in a ratio of 1:1. The participants' daily adherence to registering physical activity in the Activity Coach app was 69% (range 24%-97%), and their weekly adherence was 88% (range 58%-100%). The mean goal attainment score was -1.0 (SD 1.1) for the control group versus 0.6 (SD 0.6) for the intervention group (P=.001). The mean change in the overall HR-QoL summary score was -9 (SD 10) for the control group versus 3 (SD 13) in the intervention group (P=.027). There was a significant difference in the physical limitation scores between the control (mean 45, SD 27) and intervention (mean 71, SD 20) groups (P=.04). The average length of sedentary bouts increased by 27 minutes to 458 (SD 84) in the control group minutes and decreased by 0.70 minutes to 391 (SD 117) in the intervention group (P=.22). There was a nonsignificant increase in the mean light physical activity (LPA): 146 (SD 46) versus 207 (SD 80) minutes in the control and intervention groups, respectively (P=.07).

CONCLUSIONS

The recruitment rate was lower than anticipated. An active recruitment process is advised if a future efficacy study is to be conducted. Adherence to the Activity Coach app was high, and it may be able to support older adults with HF in being physically active.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05235763; https://clinicaltrials.gov/study/NCT05235763.

Design and Development of an Interactive Assessment Application for the Observation of Heart Failure Self-Health Management

Heart disease can lead to physical disability and mortality, ranking second among the top 10 causes of death according to the Ministry of Health and Welfare. This study aims to examine the impact of the interactive assessment application on patients' public health knowledge. In this study, a single-group pretest and posttest experimental design was adopted. Thirty-six hospitalized patients diagnosed with heart failure participated in the pretest and posttest assessments. The findings demonstrate that the developed application led to an increase in the number of recorded physiological measurements, effectively enabling patients to manage their blood pressure. The heart failure self-management application was observed to improve patients' understanding and awareness of heart failure disease, improving their self-management skills.

Implementing digital devices to maintain family connections during the COVID-19 pandemic: Experience of a large academic urban hospital

INTRODUCTION

The COVID-19 pandemic lockdown imposed drastic measures at hospitals internationally to rapidly pivot their approaches to patient care. Early on when the pandemic was declared, hospitals responded to local public health restrictions by limiting all non-essential visits for their patients. Digital devices allowed Canadians to remain connected with their friends and families during the imposed isolation restrictions. The aim of this clinical perspective is to share the experience with the immediate implementation of digital connections for patients by exploring the impact as well as to describe key learnings from the initiative.

METHODS

150 iPads were distributed to clinical teams for use by patients, for either clinical care or for social connection. An iterative evaluation process, guided by quality improvement methodology, was followed which ensured that any changes to the iPad implementation process were responsive in real time. The evaluation measures included a clinician survey and collection of narratives from patients and clinicians.

RESULTS

All clinician respondents (n=7) indicated that the iPads were a valuable tool to support patients and families. Narratives from patients indicated that virtual connections brought joy to them especially given that they were isolated from their support systems during the initial days of COVID-19. Key learnings for the Implementation Team were: the importance in maintaining cognitive stimulation as an enabler to recovery for patients; staff members provide support beyond direct clinical care; technology needs to be harnessed to facilitate clinical care; technology should be leveraged to support clinical care; and interprofesssional collaboration of the entire Implementation Team is a key enabler of success.

CONCLUSION

Since implementation, iPads have been integrated as a supporting digital tool for both social connections as well as clinical care as a result of the benefits seen during this initiative. The iPads have also been recognized as a tool to complement patient connection and care and currently being expanded as part of services to patients, families and their clinicians.

The long-term effect of an m-health tool on self-care in patients with heart failure: a pre-post interventional study with a mixed-method analysis

AIMS

The aims of this study were (i) to evaluate the effects of using an m-health tool on self-care behaviour at 3 and 12 months and (ii) to explore the experiences and perceptions of heart failure (HF) patients about the m-health tool.

METHODS AND RESULTS

In this pre-post interventional study with a mixed-method analysis, 71 patients diagnosed with HF [49% female, mean age 76.7 years, New York Heart Association (NYHA) II 31%, NYHA III 69%] were enrolled and had the m-health tool installed in their home for 1 year. The tool consisted of a pre-programmed tablet including a weighing scale and interactive education about HF self-care. At baseline, and at 3 and 12 months, self-care was assessed using the European Heart Failure Self-care Behaviour (EHFScB-9) Scale, an eight-item self-administered questionnaire assessing the experiences of the m-health tool. The mean EHFScB-9 at baseline was 63.8 ± 2.8 and it improved to 67.6 ± 7.6 after 3 months (P < 0.05). After 1 year, the score had decreased to 63.2 ± 7.1 (P = 0.68). Most patients rated the tool as 'good', both at 3 months (92%) and after 12 months (93%). Some found the system to be unnecessary to some degree, and this number increased between 3 and 12 months (P < 0.001). Most patients felt that m-health increased their feelings of security, and 85% responded that the system increased their family members' sense of security.

CONCLUSION

The m-health tool significantly improved patients' self-care behaviour after 3 months, but this effect did not persist after 1 year. For achieving long-term effects and outcomes, additional and regularly updated self-care support may be needed.

REGISTRATION

ClinicalTrials.gov: NCT04955600.

Comparative effectiveness of ehealth self-management interventions for patients with heart failure: A Bayesian network meta-analysis

OBJECTIVE

This study evaluated the effectiveness of electronic self-management support interventions in reducing all-cause mortality, cardiovascular mortality, readmission rates, and HF-related readmission in heart failure patients.

METHODS

Following the PRISMA-P guidelines and PRISMS taxonomy, we searched Pubmed, Cochrane Library, and Embase for RCTs and trials of electronic health technologies for heart failure interventions. Develop support programs in advance for education, monitoring, reminders, or a combination of these to screen and categorize studies. The Cochrane ROB2 tool was used to assess the risk of bias.

RESULTS

The monitoring interventions may improve all-cause mortality (OR 0.77, 95% CI 0.63 to 0.93) and cardiovascular mortality (OR 0.75, 95% CI 0.61 to 0.93) compared to usual care. Reminder interventions were associated with significantly reducing readmission rates (OR 0.07, 95% CI 0.00 to 0.94). Mixed interventions were most effective in reducing HF-related readmission rates (OR 0.75, 95% CI 0.56 to 0.99).

CONCLUSION

Electronic self-management interventions, particularly monitoring and reminders, can potentially improve outcomes of heart failure patients, including reducing all-cause mortality, cardiovascular mortality, and readmission rates.

PRACTICE IMPLICATIONS

The eHealth model and the combination of self-management are significant for long-term intervention in patients with HF to improve their quality of life and prognosis.

The Use of eHealth for Pharmacotherapy Management With Patients With Respiratory Disease, Cardiovascular Disease, or Diabetes: Scoping Review

BACKGROUND

eHealth is increasingly considered an important tool for supporting pharmacotherapy management.

OBJECTIVE

We aimed to assess the (1) use of eHealth in pharmacotherapy management with patients with asthma or chronic obstructive pulmonary disease (COPD), diabetes, or cardiovascular disease (CVD); (2) effectiveness of these interventions on pharmacotherapy management and clinical outcomes; and (3) key factors contributing to the success of eHealth interventions for pharmacotherapy management.

METHODS

We conducted a scoping review following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping review) statement. Databases searched included Embase, MEDLINE (PubMed), and Cochrane Library. Screening was conducted by 2 independent researchers. Eligible articles were randomized controlled trials and cohort studies assessing the effect of an eHealth intervention for pharmacotherapy management compared with usual care on pharmacotherapy management or clinical outcomes in patients with asthma or COPD, CVD, or diabetes. The interventions were categorized by the type of device, pharmacotherapy management, mode of delivery, features, and domains described in the conceptual model for eHealth by Shaw at al (Health in our Hands, Interacting for Health, Data Enabling Health). The effectiveness on pharmacotherapy management outcomes and patient- and clinician-reported clinical outcomes was analyzed per type of intervention categorized by number of domains and features to identify trends.

RESULTS

Of 63 studies, 16 (25%), 31 (49%), 13 (21%), and 3 (5%) included patients with asthma or COPD, CVD, diabetes, or CVD and diabetes, respectively. Most (38/63, 60%) interventions targeted improving medication adherence, often combined for treatment plan optimization. Of the 16 asthma or COPD interventions, 6 aimed to improve inhaled medication use. The majority (48/63, 76%) of the studies provided an option for patient feedback. Most (20/63, 32%) eHealth interventions combined all 3 domains by Shaw et al, while 25% (16/63) combined Interacting for Health with Data Enabling Health. Two-thirds (42/63, 67%) of the studies showed a positive overall effect. Respectively, 48% (23/48), 57% (28/49), and 39% (12/31) reported a positive effect on pharmacotherapy management and clinician- and patient-reported clinical outcomes. Pharmacotherapy management and patient-reported clinical outcomes, but not clinician-reported clinical outcomes, were more often positive in interventions with ≥3 features. There was a trend toward more studies reporting a positive effect on all 3 outcomes with more domains by Shaw et al. Of the studies with interventions providing patient feedback, more showed a positive clinical outcome, compared with studies with interventions without feedback. This effect was not seen for pharmacotherapy management outcomes.

CONCLUSIONS

There is a wide variety of eHealth interventions combining various domains and features to target pharmacotherapy management in asthma or COPD, CVD, and diabetes. Results suggest feedback is key for a positive effect on clinician-reported clinical outcomes. eHealth interventions become more impactful when combining domains.

Virtual healthcare solutions in heart failure: a literature review

The widespread adoption of mobile technologies offers an opportunity for a new approach to post-discharge care for patients with heart failure (HF). By enabling non-invasive remote monitoring and two-way, real-time communication between the clinic and home-based patients, as well as a host of other capabilities, mobile technologies have a potential to significantly improve remote patient care. This literature review summarizes clinical evidence related to virtual healthcare (VHC), defined as a care team + connected devices + a digital solution in post-release care of patients with HF. Searches were conducted on Embase (06/12/2020). A total of 171 studies were included for data extraction and evidence synthesis: 96 studies related to VHC efficacy, and 75 studies related to AI in HF. In addition, 15 publications were included from the search on studies scaling up VHC solutions in HF within the real-world setting. The most successful VHC interventions, as measured by the number of reported significant results, were those targeting reduction in rehospitalization rates. In terms of relative success rate, the two most effective interventions targeted patient self-care and all-cause hospital visits in their primary endpoint. Among the three categories of VHC identified in this review (telemonitoring, remote patient management, and patient self-empowerment) the integrated approach in remote patient management solutions performs the best in decreasing HF patients' re-admission rates and overall hospital visits. Given the increased amount of data generated by VHC technologies, artificial intelligence (AI) is being investigated as a tool to aid decision making in the context of primary diagnostics, identifying disease phenotypes, and predicting treatment outcomes. Currently, most AI algorithms are developed using data gathered in clinic and only a few studies deploy AI in the context of VHC. Most successes have been reported in predicting HF outcomes. Since the field of VHC in HF is relatively new and still in flux, this is not a typical systematic review capturing all published studies within this domain. Although the standard methodology for this type of reviews was followed, the nature of this review is qualitative. The main objective was to summarize the most promising results and identify potential research directions.

The Promise and Risks of mHealth in Heart Failure Care

Mobile health (mHealth) is an emerging approach to health care. It involves wearable, connected technologies that facilitate patient-symptom or physiological monitoring, support clinical feedback to patients and physicians, and promote patients' education and self-care. Evolving algorithms may involve artificial intelligence and can assist in data aggregation and health care teams' interpretations. Ultimately, the goal is not merely to collect data; rather, it is to increase actionability. mHealth technology holds particular promise for patients with heart failure, especially those with frequently changing clinical status. mHealth, ideally, can identify care opportunities, anticipate clinical courses and augment providers' capacity to implement, titrate and monitor interventions safely, including evidence-based therapies. Although there have been marked advancements in the past decade, uncertainties remain for mHealth, including questions regarding optimal indications and acceptable payment models. In regard to mHealth capability, a better understanding is needed of the incremental benefit of mHealth data over usual care, the accuracy of specific mHealth data points in making clinical care decisions, and the efficiency and precision of algorithms used to dictate actions. Importantly, emerging regulations in the wake of COVID-19, and now the end of the federal public health emergency, offer both opportunity and risks to the broader adoption of mHealth-enabled services. In this review, we explore the current state of mHealth in heart failure, with particular attention to the opportunities and challenges this technology creates for patients, health care providers and other stakeholders.

Effectiveness of mobile telemonitoring applications in heart failure patients: systematic review of literature and meta-analysis

Close and frequent follow-up of heart failure (HF) patients improves clinical outcomes. Mobile telemonitoring applications are advantageous alternatives due to their wide availability, portability, low cost, computing power, and interconnectivity. This study aims to evaluate the impact of telemonitoring apps on mortality, hospitalization, and quality of life (QoL) in HF patients. We conducted a registered (PROSPERO CRD42022299516) systematic review of randomized clinical trials (RCTs) evaluating mobile-based telemonitoring strategies in patients with HF, published between January 2000 and December 2021 in 4 databases (PubMed, EMBASE, BVSalud/LILACS, Cochrane Reviews). We assessed the risk of bias using the RoB2 tool. The outcome of interest was the effect on mortality, hospitalization risk, and/or QoL. We performed meta-analysis when appropriate; heterogeneity and risk of publication bias were evaluated. Otherwise, descriptive analyses are offered. We screened 900 references and 19 RCTs were included for review. The risk of bias for mortality and hospitalization was mostly low, whereas for QoL was high. We observed a reduced risk of hospitalization due to HF with the use of mobile-based telemonitoring strategies (RR 0.77 [0.67; 0.89]; I2 7%). Non-statistically significant reduction in mortality risk was observed. The impact on QoL was variable between studies, with different scores and reporting measures used, thus limiting data pooling. The use of mobile-based telemonitoring strategies in patients with HF reduces risk of hospitalization due to HF. As smartphones and wirelessly connected devices are increasingly available, further research on this topic is warranted, particularly in the foundational therapy.

Effect of e-health intervention on disease management in patients with chronic heart failure: A meta-analysis

Objective

The aim of this meta-analysis was to assess the impact of e-health interventions on disease management in patients with CHF.

Methods

Six databases including Embase, Web of Science, Scopus, PubMed, Cochrane, and EBSCO were searched by computer. The search time is before May 1, 2022. Odds ratios (OR) were used for binary categorical data and weighted mean differences (WMD) for continuous variables. The 95% confidence intervals (CI) were used to express the effect sizes for both count and measurement data. RevMan 5.4 and Stata 16.0 were employed to complete this meta-analysis.

Results

The study included 22 research studies and 5,149 patients. e-health intervention can effectively reduce all-cause mortality [OR = 0.801, 95%CI: (0.650, 0.987), P < 0.05], all-cause hospitalization rate [OR = 0.66, 95%CI: (0.46, 0.95), P < 0.05] and heart failure related hospitalization rate [OR = 0.750, 95%CI: (0.632, 0.891), P < 0.05]. e-health intervention is also effective in improving the quality of life [WMD = 2.97, 95%CI: (1.54, 4.40), P < 0.05] and the self-management ability of patients [WMD = -2.76, 95%CI: (-5.52, -0.11), P < 0.05].

Conclusion

e-health interventions can reduce all-cause mortality, all-cause hospitalization, and heart failure-related hospitalization in patients with CHF. Furthermore, it can improve the health-related quality of life of patients.

Health Techequity: Opportunities for Digital Health Innovations to Improve Equity and Diversity in Cardiovascular Care

Purpose of Review

In this review, we define health equity, disparities, and social determinants of health; the different components of digital health; the barriers to digital health equity; and cardiovascular digital health trials and possible solutions to improve health equity through digital health.

Recent Findings

Digital health interventions show incredible potential to improve cardiovascular diseases by obtaining longitudinal, continuous, and actionable patient data; increasing access to care; and by decreasing delivery barriers and cost. However, certain populations have experienced decreased access to digital health innovations and decreased representation in cardiovascular digital health trials.

Summary

Special efforts will need to be made to expand access to the different elements of digital health, ensuring that the digital divide does not exacerbate health disparities. As the expansion of digital health technologies continues, it is vital to increase representation of minoritized groups in all stages of the process: product development (needs findings and screening, concept generation, product creation, and testing), clinical research (pilot studies, feasibility studies, and randomized control trials), and finally health services deployment.

Welfare technology interventions among older people living at home-A systematic review of RCT studies

The main goal of health services is for the elderly to maintain their mental and physical health and live at home independently for as long as possible. Various technical welfare solutions have been introduced and tested to support an independent life. The aim of this systematic review was to examine different types of interventions and assess the effectiveness of welfare technology (WT) interventions for older people living at home. This study was prospectively registered in PROSPERO (CRD42020190316) and followed the PRISMA statement. Primary randomized control trial (RCT) studies published between 2015 and 2020 were identified through the following databases: Academic, AMED, Cochrane Reviews, EBSCOhost, EMBASE, Google Scholar, Ovid MEDLINE via PubMed, Scopus, and Web of Science. Twelve out of 687 papers met the criteria for eligibility. We used risk-of-bias assessment (RoB 2) for the included studies. Based on the RoB 2 outcomes that showed a high risk of bias (>50%) and high heterogeneity of quantitative data, we decided to narratively summarize the study characteristics, outcome measures, and implications for practice. The included studies were conducted in six countries, namely the USA, Sweden, Korea, Italy, Singapore, and the UK. One was conducted in three European countries (the Netherlands, Sweden, and Switzerland). A total of 8437 participants were sampled, and individual study sample sizes ranged from 12 to 6742. Most of the studies were two-armed RCTs, except for two that were three-armed. The duration of the welfare technology tested in the studies ranged from four weeks to six months. The employed technologies were commercial solutions, including telephones, smartphones, computers, telemonitors, and robots. The type of interventions were balance training, physical exercise and function, cognitive training, monitoring of symptoms, activation of emergency medical systems, self-care, reduction of death risk, and medical alert protection systems. The latter studies were the first of their kind and suggested that physician-led telemonitoring could reduce length of hospital stay. In summary, welfare technology seems to offer solutions to supporting elderly people at home. The results showed a wide range of uses for technologies for improving mental and physical health. All studies showed encouraging results for improving the participants' health status.

The Situation-Specific Theory of Heart Failure Self-care: An Update on the Problem, Person, and Environmental Factors Influencing Heart Failure Self-care

Many studies of heart failure (HF) self-care have been conducted since the last update of the situation-specific theory of HF self-care.

OBJECTIVE

The aim of this study was to describe the manner in which characteristics of the problem, person, and environment interact to influence decisions about self-care made by adults with chronic HF.

METHODS

This study is a theoretical update. Literature on the influence of the problem, person, and environment on HF self-care is summarized.

RESULTS

Consistent with naturalistic decision making, the interaction of the problem, person, and environment creates a situation in which a self-care decision is needed. Problem factors influencing decisions about HF self-care include specific conditions such as cognitive impairment, diabetes mellitus, sleep disorders, depression, and symptoms. Comorbid conditions make HF self-care difficult for a variety of reasons. Person factors influencing HF self-care include age, knowledge, skill, health literacy, attitudes, perceived control, values, social norms, cultural beliefs, habits, motivation, activation, self-efficacy, and coping. Environmental factors include weather, crime, violence, access to the Internet, the built environment, social support, and public policy.

CONCLUSIONS

A robust body of knowledge has accumulated on the person-related factors influencing HF self-care. More research on the contribution of problem-related factors to HF self-care is needed because very few people have only HF and no other chronic conditions. The research on environment-related factors is particularly sparse. Seven new propositions are included in this update. We strongly encourage investigators to consider the interactions of problem, person, and environmental factors affecting self-care decisions in future studies.

Effectiveness of eHealth Self-management Interventions in Patients With Heart Failure: Systematic Review and Meta-analysis

BACKGROUND

Heart failure (HF) is a common clinical syndrome associated with substantial morbidity, a heavy economic burden, and high risk of readmission. eHealth self-management interventions may be an effective way to improve HF clinical outcomes.

OBJECTIVE

The aim of this study was to systematically review the evidence for the effectiveness of eHealth self-management in patients with HF.

METHODS

This study included only randomized controlled trials (RCTs) that compared the effects of eHealth interventions with usual care in adult patients with HF using searches of the EMBASE, PubMed, CENTRAL (Cochrane Central Register of Controlled Trials), and CINAHL databases from January 1, 2011, to July 12, 2022. The Cochrane Risk of Bias tool (RoB 2) was used to assess the risk of bias for each study. The Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria were used to rate the certainty of the evidence for each outcome of interest. Meta-analyses were performed using Review Manager (RevMan v.5.4) and R (v.4.1.0 x64) software.

RESULTS

In total, 24 RCTs with 9634 participants met the inclusion criteria. Compared with the usual-care group, eHealth self-management interventions could significantly reduce all-cause mortality (odds ratio [OR] 0.83, 95% CI 0.71-0.98, P=.03; GRADE: low quality) and cardiovascular mortality (OR 0.74, 95% CI 0.59-0.92, P=.008; GRADE: moderate quality), as well as all-cause readmissions (OR 0.82, 95% CI 0.73-0.93, P=.002; GRADE: low quality) and HF-related readmissions (OR 0.77, 95% CI 0.66-0.90, P<.001; GRADE: moderate quality). The meta-analyses also showed that eHealth interventions could increase patients' knowledge of HF and improve their quality of life, but there were no statistically significant effects. However, eHealth interventions could significantly increase medication adherence (OR 1.82, 95% CI 1.42-2.34, P<.001; GRADE: low quality) and improve self-care behaviors (standardized mean difference -1.34, 95% CI -2.46 to -0.22, P=.02; GRADE: very low quality). A subgroup analysis of primary outcomes regarding the enrolled population setting found that eHealth interventions were more effective in patients with HF after discharge compared with those in the ambulatory clinic setting.

CONCLUSIONS

eHealth self-management interventions could benefit the health of patients with HF in various ways. However, the clinical effects of eHealth interventions in patients with HF are affected by multiple aspects, and more high-quality studies are needed to demonstrate effectiveness.

Smart Home Technology Solutions for Cardiovascular Diseases: A Systematic Review

Cardiovascular diseases (CVD) are the leading cause of mortality globally. Despite improvement in therapies, people with CVD lack support for monitoring and managing their condition at home and out of hospital settings. Smart Home Technologies have potential to monitor health status and support people with CVD in their homes. We explored the Smart Home Technologies available for CVD monitoring and management in people with CVD and acceptance of the available technologies to end-users. We systematically searched four databases, namely Medline, Web of Science, Embase, and IEEE, from 1990 to 2020 (search date 18 March 2020). “Smart-Home” was defined as a system using integrated sensor technologies. We included studies using sensors, such as wearable and non-wearable devices, to capture vital signs relevant to CVD at home settings and to transfer the data using communication systems, including the gateway. We categorised the articles for parameters monitored, communication systems and data sharing, end-user applications, regulations, and user acceptance. The initial search yielded 2462 articles, and the elimination of duplicates resulted in 1760 articles. Of the 36 articles eligible for full-text screening, we selected five Smart Home Technology studies for CVD management with sensor devices connected to a gateway and having a web-based user interface. We observed that the participants of all the studies were people with heart failure. A total of three main categories—Smart Home Technology for CVD management, user acceptance, and the role of regulatory agencies—were developed and discussed. There is an imperative need to monitor CVD patients’ vital parameters regularly. However, limited Smart Home Technology is available to address CVD patients’ needs and monitor health risks. Our review suggests the need to develop and test Smart Home Technology for people with CVD. Our findings provide insights and guidelines into critical issues, including Smart Home Technology for CVD management, user acceptance, and regulatory agency’s role to be followed when designing, developing, and deploying Smart Home Technology for CVD.

Self-care Management Intervention in Heart Failure (SMART-HF): A Multicenter Randomized Controlled Trial

BACKGROUND

Self-care behavior is important in avoiding hospitalization for patients with heart failure (HF) and refers to those activities performed with the intention of improving or restoring health and well-being, as well as treating or preventing disease. The purpose was to study the effects of a home-based mobile device on self-care behavior and hospitalizations in a representative HF-population.

METHODS AND RESULTS

SMART-HF is a randomized controlled multicenter clinical trial, where patients were randomized 1:1 to receive standard care (control group [CG]) or intervention with a home-based tool designed to enhance self-care behavior (intervention group [IG]) and followed for 240 days. The tool educates the patient about HF, monitors objective and subjective symptoms and adjusts loop diuretics. The primary outcome is self-care as measured by the European Heart Failure Self-care behavior scale and the secondary outcome is HF related in-hospital days.A total of 124 patients were recruited and 118 were included in the analyses (CG: n = 60, IG: n = 58). The mean age was 79 years, 39% were female, and 45% had an ejection fraction of less than 40%. Self-care was significantly improved in the IG compared to the CG (median (interquartile range) (21.5 [13.25; 28] vs 26 [18; 29.75], p = 0.014). Patients in the IG spent significantly less time in the hospital admitted for HF (2.2 days less, relative risk 0.48, 95% confidence interval 0.32-0.74, P = .001).

CONCLUSIONS

The device significantly improved self-care behavior and reduced in-hospital days in a relevant HF population.

Effectiveness of telemonitoring on self-care behaviors among community-dwelling adults with heart failure: a quantitative systematic review

OBJECTIVE

This review examined the effectiveness of telemonitoring versus usual care on self-care behaviors among community-dwelling adults with heart failure.

INTRODUCTION

Heart failure is a global health crisis. There is a body of high-level evidence demonstrating that telemonitoring is an appropriate and effective therapy for many chronic conditions, including heart failure. The focus has been on traditional measures such as rehospitalizations, length of stay, cost analyses, patient satisfaction, quality of life, and death rates. What has not been systematically evaluated is the effectiveness of telemonitoring on self-care behaviors. Involving patients in self-care is an important heart failure management strategy.

INCLUSION CRITERIA

This review included studies on adult participants (18 years and older), diagnosed with heart failure (New York Heart Association Class I - IV), who used telemonitoring in the ambulatory setting. Studies among pediatric patients with heart failure, adult patients with heart failure in acute care settings, or those residing in a care facility were excluded.

METHODS

Eight databases, including CINAHL, Cochrane Central Register of Controlled Trials, Embase, MEDLINE, Epistemonikos, ProQuest Dissertations and Theses, PsycINFO, and Web of Science were systematically searched for English-language studies between 1997 and 2019. Studies selected for retrieval were assessed by two independent reviewers for methodological quality using critical appraisal checklists appropriate to the study design. Those meeting a priori quality standards of medium or high quality were included in the review.

RESULTS

Twelve publications were included in this review (N = 1923). Nine of the 12 studies were randomized controlled trials and three were quasi-experimental studies. Based on appropriate JBI critical appraisal tools, the quality of included studies was deemed moderate to high. In a majority of the studies, a potential source of bias was related to lack of blinding of treatment assignment. Telemonitoring programs ranged from telephone-based support, interactive websites, and mobile apps to remote monitoring systems and devices. Self-care outcomes were measured with the European Heart Failure Self-care Behaviour Scale in nine studies and with the Self-care of Heart Failure Index in three studies. Telemonitoring improved self-care behaviors across 10 of these studies, achieving statistical significance. Clinical significance was also observed in nine of the 12 studies. All studies utilized one of two validated instruments that specifically measure self-care behaviors among patients with heart failure. However, in some studies, variation in interpretation and reporting was observed in the use of one instrument.

CONCLUSIONS

Overall, telemonitoring had a positive effect on self-care behavior among adult, community-dwelling patients with heart failure; however, there is insufficient and conflicting evidence to determine how long the effectiveness lasts. Longitudinal studies are needed to determine the sustained effect of telemonitoring on self-care behaviors. In addition, the limitations of the current studies (eg, inadequate sample size, study design, incomplete statistical reporting, self-report bias) should be taken into account when designing future studies. This review provides evidence for the use of telemonitoring, which is poised for dramatic expansion given the current clinical environment encouraging reduced face-to-face visits.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42019131852.

Patient Perspectives on Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure (ITEC-CHF): Usability Study

Background

Telemonitoring enables care providers to remotely support outpatients in self-managing chronic heart failure (CHF), but little is known about the usability and patients’ willingness to engage with this technology.

Objective

This study aims to evaluate feedback from patients with CHF following participation in the Innovative Telemonitoring Enhanced Care program for CHF (ITEC-CHF) study.

Methods

The telemonitoring intervention consisted of three components: remote weight monitoring, structured telephone support, and nurse-led collaborative care. Participants were provided with electronic weighing scales (W550; ForaCare), and a computer tablet (Galaxy Tab A; Samsung). They were asked to weigh themselves on the provided scales daily. Telemonitoring was integrated with a personal assistance call service and a nurse care service according to their workflows in usual care. Feedback on the usability of ITEC-CHF was collected via survey from study participants following 6 months of receiving telemonitoring care for their body weight. Survey responses were provided on a 5-point Likert scale and through open-ended questions to determine participants’ perceived benefits and barriers to using ITEC-CHF.

Results

A total of 67 participants (49/67, 73% male), with a mean age of 69.8 (SD 12.4) years completed the survey. The majority of participants agreed or strongly agreed that the ITEC-CHF program was easy to use (61/67, 91%), easy to navigate (51/65, 78%), useful (59/65, 91%), and made them feel more confident in managing their weight (57/67, 85%). Themes related to participants’ perceptions of telemonitoring included increased support for early intervention of clinical deterioration, improved compliance to daily weighing, a sense of reassurance, and improved self-care and accountability, among others.

Conclusions

ITEC-CHF was rated highly on usability and was well accepted by users as part of their routine self-management activities. Participants were willing to use telemonitoring because they perceived a broad spectrum of benefits for CHF management.

Trial Registration

Australian New Zealand Clinical Trial Registry ID ACTRN 12614000916640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366691.

Systematic review of context-aware digital behavior change interventions to improve health

Health risk behaviors are leading contributors to morbidity, premature mortality associated with chronic diseases, and escalating health costs. However, traditional interventions to change health behaviors often have modest effects, and limited applicability and scale. To better support health improvement goals across the care continuum, new approaches incorporating various smart technologies are being utilized to create more individualized digital behavior change interventions (DBCIs). The purpose of this study is to identify context-aware DBCIs that provide individualized interventions to improve health. A systematic review of published literature (2013-2020) was conducted from multiple databases and manual searches. All included DBCIs were context-aware, automated digital health technologies, whereby user input, activity, or location influenced the intervention. Included studies addressed explicit health behaviors and reported data of behavior change outcomes. Data extracted from studies included study design, type of intervention, including its functions and technologies used, behavior change techniques, and target health behavior and outcomes data. Thirty-three articles were included, comprising mobile health (mHealth) applications, Internet of Things wearables/sensors, and internet-based web applications. The most frequently adopted behavior change techniques were in the groupings of feedback and monitoring, shaping knowledge, associations, and goals and planning. Technologies used to apply these in a context-aware, automated fashion included analytic and artificial intelligence (e.g., machine learning and symbolic reasoning) methods requiring various degrees of access to data. Studies demonstrated improvements in physical activity, dietary behaviors, medication adherence, and sun protection practices. Context-aware DBCIs effectively supported behavior change to improve users' health behaviors.

Patient-centered mobile health technology intervention to improve self-care in patients with chronic heart failure: Protocol for a feasibility randomized controlled trial

This randomized controlled trial aims to determine the feasibility and preliminary efficacy of a patient-centered, mobile health technology intervention (iCardia4HF) in patients with chronic Heart Failure (HF). Participants (n = 92) are recruited and randomized 1:1 to the intervention or control group. The intervention group receives a commercial HF self-care app (Heart Failure Storylines), three connected health devices that interface with the app (Withings weight scale and blood pressure monitor, and Fitbit activity tracker), and a program of individually tailored text-messages targeting health beliefs, self-care self-efficacy, HF-knowledge, and physical activity. The control group receives the same connected health devices, but without the HF self-care app and text messages. Follow-up assessments occur at 30 days and 12 weeks. The main outcome of interest is adherence to HF self-care assessed objectively through time-stamped data from the electronic devices and also via patient self-reports. Primary measures of HF self-care include medication adherence and adherence to daily weight monitoring. Secondary measures of HF self-care include adherence to daily self-monitoring of HF symptoms and blood pressure, adherence to low-sodium diet, and engagement in physical activity. Self-reported HF self-care and health-related quality of life are assessed with the Self-care Heart Failure Index and the Kansas City Cardiomyopathy Questionnaire, respectively. Hospitalizations and emergency room visits are tracked in both groups over 12 weeks as part of our safety protocol. This study represents an important step in testing a scalable mHealth solution that has the potential to bring about a new paradigm in self-management of HF.

Effectiveness of Mobile Health Technology Interventions for Patients With Heart Failure: Systematic Review and Meta-analysis

BACKGROUND

Heart failure (HF) is a complex and serious condition associated with substantial morbidity, mortality, and health care costs. We conducted a systematic review and meta-analysis to evaluate the effects of mobile health (mHealth) interventions compared with usual care in patients with HF.

METHODS

We searched MEDLINE, CENTRAL, CINAHL, and EMBASE databases to identify eligible randomized controlled trials (RCTs) of mHealth interventions. Primary outcomes included: all-cause mortality, cardiovascular mortality, HF-related hospitalizations, and all-cause hospitalizations. Meta-analyses using a random effects model were performed for all outcomes. Risk of bias and quality of evidence were evaluated using the Cochrane Tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework.

RESULTS

Sixteen RCTs involving 4389 patients were included. Compared with usual care, mHealth interventions reduced the risk of all-cause mortality (risk ratio [RR], 0.80; 95% confidence interval [CI], 0.65-0.97; absolute risk reduction [ARR], 2.1%; high-quality evidence), cardiovascular mortality (RR, 0.70; 95% CI, 0.53-0.91; ARR, 2.9%; high-quality evidence), and HF hospitalizations (RR, 0.77; 95% CI, 0.67-0.88; ARR, 5%; high-quality evidence), but had no effect on all-cause hospitalizations. Results were driven by mHealth interventions with remote monitoring and clinical feedback, which were associated with larger reductions than stand-alone mHealth interventions. However, subgroup differences were not statistically significant.

CONCLUSIONS

mHealth interventions with remote monitoring and clinical feedback reduce mortality and HF-related hospitalizations, but might not reduce all-cause hospitalizations in patients with HF. Additional studies are needed to determine the efficacy of stand-alone mHealth interventions as well as active features of mHealth that contribute to efficacy.

Review of Digitalized Patient Education in Cardiology: A Future Ahead?

INTRODUCTION

An increased focus on shared decision-making and patient empowerment in cardiology and on patient outcomes such as quality of life (QoL), depression, and anxiety underline the importance of high-quality patient education. Studies focusing on digital means of patient education performed in other disciplines of medicine demonstrated its positive effect in these areas. Therefore, a review of the current literature was performed to (i) evaluate the status of innovative, digitalized means of patient education in cardiology and (ii) assess the impact of digital patient education on outcome parameters (i.e., patient knowledge (or health literacy), QoL, depression, anxiety, and patient satisfaction).

METHOD

A review of the current literature was performed to evaluate the effect of digitalized patient education for any purpose in the field of cardiology. Medline and EMBASE were searched for articles reporting any digital educational platform used for patient education up to May 2020. The articles were compared on their effect on patient knowledge or health literacy, QoL, depression or anxiety, and patient satisfaction.

RESULTS

The initial search yielded 279 articles, 34 of which were retained after applying in, and exclusion criteria. After full-text analysis, the total number of articles remaining was 16. Of these, 6 articles discussed the use of smartphone or tablet applications as a means of patient education, whereas 3 reviewed web-based content, and 7 evaluated the use of video (2 three-dimensional videos, from which one on a virtual reality headset).

CONCLUSION

This review demonstrates that digital patient education increases patient knowledge. Overall, digital education increases QoL and lowers feelings of depression and anxiety. The majority of patients express satisfaction with digital platforms. It remains important that developers of digital patient education platforms remain focused on clear, structured, and comprehensible information presentation.

Gerotechnology for Older Adults With Cardiovascular Diseases: JACC State-of-the-Art Review

The growing population of older adults (age ≥65 years) is expected to lead to higher rates of cardiovascular disease. The expansion of digital health (encompassing telehealth, telemedicine, mobile health, and remote patient monitoring), Internet access, and cellular technologies provides an opportunity to enhance patient care and improve health outcomes-opportunities that are particularly relevant during the current coronavirus disease-2019 pandemic. Insufficient dexterity, visual impairment, and cognitive dysfunction, found commonly in older adults should be taken into consideration in the development and utilization of existing technologies. If not implemented strategically and appropriately, these can lead to inequities propagating digital divides among older adults, across disease severities and socioeconomic distributions. A systematic approach, therefore, is needed to study and implement digital health strategies in older adults. This review will focus on current knowledge of the benefits, barriers, and use of digital health in older adults for cardiovascular disease management.

Effects of Different Telemonitoring Strategies on Chronic Heart Failure Care: Systematic Review and Subgroup Meta-Analysis

BACKGROUND

Telemonitoring studies in chronic heart failure are characterized by mixed mortality and hospitalization outcomes, which have deterred the uptake of telemonitoring in clinical practice. These mixed outcomes may reflect the diverse range of patient management strategies incorporated in telemonitoring. To address this, we compared the effects of different telemonitoring strategies on clinical outcomes.

OBJECTIVE

The aim of this systematic review and subgroup meta-analysis was to identify noninvasive telemonitoring strategies attributing to improvements in all-cause mortality or hospitalization outcomes for patients with chronic heart failure.

METHODS

We reviewed and analyzed telemonitoring strategies from randomized controlled trials (RCTs) comparing telemonitoring intervention with usual care. For each strategy, we examined whether RCTs that applied the strategy in the telemonitoring intervention (subgroup 1) resulted in a significantly lower risk ratio (RR) of all-cause mortality or incidence rate ratio (IRR) of all-cause hospitalization compared with RCTs that did not apply this strategy (subgroup 2).

RESULTS

We included 26 RCTs (N=11,450) incorporating 18 different telemonitoring strategies. RCTs that provided medication support were found to be associated with a significantly lower IRR value than RCTs that did not provide this type of support (P=.01; subgroup 1 IRR=0.83, 95% CI 0.72-0.95 vs subgroup 2 IRR=1.02, 95% CI 0.93-1.12). RCTs that applied mobile health were associated with a significantly lower IRR (P=.03; IRR=0.79, 95% CI 0.64-0.96 vs IRR=1.00, 95% CI 0.94-1.06) and RR (P=.01; RR=0.67, 95% CI 0.53-0.85 vs RR=0.95, 95% CI 0.84-1.07).

CONCLUSIONS

Telemonitoring strategies involving medication support and mobile health were associated with improvements in all-cause mortality or hospitalization outcomes. These strategies should be prioritized in telemonitoring interventions for the management of patients with chronic heart failure.

Applying Digital Information Delivery to Convert Habits of Antibiotic Use in Primary Care in Germany: Mixed-Methods Study

BACKGROUND

Antimicrobial resistance is an important global health issue. In Germany, the national agenda supports various interventions to convert habits of antibiotic use. In the CHANGE-3 (Converting Habits of Antibiotic Use for Respiratory Tract Infections in German Primary Care) study, digital tools were applied for information delivery: tablet computers in primary care practices, e-learning platforms for medical professionals, and a public website to promote awareness and health literacy among primary care physicians, their teams, and their patients.

OBJECTIVE

This study is embedded in the process evaluation of the CHANGE-3 study. The aim of this study was to evaluate the acceptance and uptake of digital devices for the delivery of health-related information to enhance awareness and change habits of antibiotic use in primary care in Germany.

METHODS

This study used a convergent-parallel mixed-methods design. Audio-recorded semistructured telephone interviews were conducted with physicians, nonphysician health professionals, and patients in the CHANGE-3 program. Pseudonymized verbatim transcripts were coded using thematic analysis. In-depth analysis was performed based on the inductive category of information provision via digital information tools. Identified themes were related to the main postulates of Diffusion of Innovations theory (DIT) to provide an explanatory frame. In addition, data generated through a structured survey with physicians and nonphysician health professionals in the program were analyzed descriptively and integrated with the qualitative data to explore the complementarity of the findings.

RESULTS

Findings regarding the acceptance and uptake of digital devices were related to three postulates of DIT: innovation characteristics, communication channels, and unanticipated consequences. Participants considered the provided digital educative solutions to be supportive for promoting health literacy regarding conversion of habits of antibiotic use. However, health care professionals found it challenging to integrate these solutions into existing routines in primary care and to align them with their professional values. Low technology affinity was a major barrier to the use of digital information in primary care. Patients welcomed the general idea of introducing health-related information in digital formats; however, they expressed concerns about device-related hygiene and the appropriateness of the digital tools for older patients.

CONCLUSIONS

Patients and medical professionals in German primary care are reluctant to use digital devices for information and education. Using a Diffusion of Innovations approach can support assessment of existing barriers and provide information about setting-specific preconditions that are necessary for future tailoring of implementation strategies.

TRIAL REGISTRATION

International Standard Randomized Controlled Trial Number (ISRCTN) 15061174; http://www.isrctn.com/ISRCTN15061174.

Computer-Controlled Virtual Humans in Patient-Facing Systems: Systematic Review and Meta-Analysis

BACKGROUND

Virtual humans (VH) are computer-generated characters that appear humanlike and simulate face-to-face conversations using verbal and nonverbal cues. Unlike formless conversational agents, like smart speakers or chatbots, VH bring together the capabilities of both a conversational agent and an interactive avatar (computer-represented digital characters). Although their use in patient-facing systems has garnered substantial interest, it is unknown to what extent VH are effective in health applications.

OBJECTIVE

The purpose of this review was to examine the effectiveness of VH in patient-facing systems. The design and implementation characteristics of these systems were also examined.

METHODS

Electronic bibliographic databases were searched for peer-reviewed articles with relevant key terms. Studies were included in the systematic review if they designed or evaluated VH in patient-facing systems. Of the included studies, studies that used a randomized controlled trial to evaluate VH were included in the meta-analysis; they were then summarized using the PICOTS framework (population, intervention, comparison group, outcomes, time frame, setting). Summary effect sizes, using random-effects models, were calculated, and the risk of bias was assessed.

RESULTS

Among the 8,125 unique records identified, 53 articles describing 33 unique systems, were qualitatively, systematically reviewed. Two distinct design categories emerged - simple VH and VH augmented with health sensors and trackers. Of the 53 articles, 16 (26 studies) with 44 primary and 22 secondary outcomes were included in the meta-analysis. Meta-analysis of the 44 primary outcome measures revealed a significant difference between intervention and control conditions, favoring the VH intervention (SMD = .166, 95% CI .039-.292, P=.012), but with evidence of some heterogeneity, I2=49.3%. There were more cross-sectional (k=15) than longitudinal studies (k=11). The intervention was delivered using a personal computer in most studies (k=18), followed by a tablet (k=4), mobile kiosk (k=2), head-mounted display (k=1), and a desktop computer in a community center (k=1).

CONCLUSIONS

We offer evidence for the efficacy of VH in patient-facing systems. Considering that studies included different population and outcome types, more focused analysis is needed in the future. Future studies also need to identify what features of virtual human interventions contribute toward their effectiveness.

The Effects of Telemonitoring on Patient Compliance With Self-Management Recommendations and Outcomes of the Innovative Telemonitoring Enhanced Care Program for Chronic Heart Failure: Randomized Controlled Trial

Background

Telemonitoring enables care providers to remotely support outpatients in self-managing chronic heart failure (CHF), but the objective assessment of patient compliance with self-management recommendations has seldom been studied.

Objective

This study aimed to evaluate patient compliance with self-management recommendations of an innovative telemonitoring enhanced care program for CHF (ITEC-CHF).

Methods

We conducted a multicenter randomized controlled trial with a 6-month follow-up. The ITEC-CHF program comprised the provision of Bluetooth-enabled scales linked to a call center and nurse care services to assist participants with weight monitoring compliance. Compliance was defined a priori as weighing at least 4 days per week, analyzed objectively from weight recordings on the scales. The intention-to-treat principle was used to perform the analysis.

Results

A total of 184 participants (141/184, 76.6% male), with a mean age of 70.1 (SD 12.3) years, were randomized to receive either ITEC-CHF (n=91) or usual care (control; n=93), of which 67 ITEC-CHF and 81 control participants completed the intervention. For the compliance criterion of weighing at least 4 days per week, the proportion of compliant participants in the ITEC-CHF group was not significantly higher than that in the control group (ITEC-CHF: 67/91, 74% vs control: 56/91, 60%; P=.06). However, the proportion of ITEC-CHF participants achieving the stricter compliance standard of at least 6 days a week was significantly higher than that in the control group (ITEC-CHF: 41/91, 45% vs control: 23/93, 25%; P=.005).

Conclusions

ITEC-CHF improved participant compliance with weight monitoring, although the withdrawal rate was high. Telemonitoring is a promising method for supporting both patients and clinicians in the management of CHF. However, further refinements are required to optimize this model of care.

Trial Registration

Australian New Zealand Clinical Trial Registry ACTRN12614000916640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366691

mHealth education interventions in heart failure

BACKGROUND

Heart failure (HF) is a chronic disease with significant impact on quality of life and presents many challenges to those diagnosed with the condition, due to a seemingly complex daily regimen of self-care which includes medications, monitoring of weight and symptoms, identification of signs of deterioration and follow-up and interaction with multiple healthcare services. Education is vital for understanding the importance of this regimen, and adhering to it. Traditionally, education has been provided to people with heart failure in a face-to-face manner, either in a community or a hospital setting, using paper-based materials or video/DVD presentations. In an age of rapidly-evolving technology and uptake of smartphones and tablet devices, mHealth-based technology (defined by the World Health Organization as mobile and wireless technologies to achieve health objectives) is an innovative way to provide health education which has the benefit of being able to reach people who are unable or unwilling to access traditional heart failure education programmes and services.

OBJECTIVES

To systematically review and quantify the potential benefits and harms of mHealth-delivered education for people with heart failure.

SEARCH METHODS

We performed an extensive search of bibliographic databases and registries (CENTRAL, MEDLINE, Embase, CINAHL, PsycINFO, IEEE Xplore, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform (ICTRP) Search Portal), using terms to identify HF, education and mHealth. We searched all databases from their inception to October 2019 and imposed no restriction on language of publication.

SELECTION CRITERIA

We included studies if they were conducted as a randomised controlled trial (RCT), involving adults (≥ 18 years) with a diagnosis of HF. We included trials comparing mHealth-delivered education such as internet and web-based education programmes for use on smartphones and tablets (including apps) and other mobile devices, SMS messages and social media-delivered education programmes, versus usual HF care.

DATA COLLECTION AND ANALYSIS

Two review authors independently selected studies, assessed risks of bias, and extracted data from all included studies. We calculated the mean difference (MD) or standardised mean difference (SMD) for continuous data and the odds ratio (OR) for dichotomous data with a 95% confidence interval (CI). We assessed heterogeneity using the I2 statistic and assessed the quality of evidence using GRADE criteria.

MAIN RESULTS

We include five RCTs (971 participants) of mHealth-delivered education interventions for people with HF in this review. The number of trial participants ranged from 28 to 512 participants. Mean age of participants ranged from 60 years to 75 years, and 63% of participants across the studies were men. Studies originated from Australia, China, Iran, Sweden, and The Netherlands. Most studies included participants with symptomatic HF, NYHA Class II - III. Three studies addressed HF knowledge, revealing that the use of mHealth-delivered education programmes showed no evidence of a difference in HF knowledge compared to usual care (MD 0.10, 95% CI -0.2 to 0.40, P = 0.51, I2 = 0%; 3 studies, 411 participants; low-quality evidence). One study assessing self-efficacy reported that both study groups had high levels of self-efficacy at baseline and uncertainty in the evidence for the intervention (MD 0.60, 95% CI -0.57 to 1.77; P = 0.31; 1 study, 29 participants; very low-quality evidence).Three studies evaluated HF self-care using different scales. We did not pool the studies due to the heterogenous nature of the outcome measures, and the evidence is uncertain. None of the studies reported adverse events. Four studies examined health-related quality of life (HRQoL). There was uncertainty in the evidence for the use of mHealth-delivered education on HRQoL (MD -0.10, 95% CI -2.35 to 2.15; P = 0.93, I2 = 61%; 4 studies, 942 participants; very low-quality evidence). Three studies reported on HF-related hospitalisation. The use of mHealth-delivered education may result in little to no difference in HF-related hospitalisation (OR 0.74, 95% CI 0.52 to 1.06; P = 0.10, I2 = 0%; 3 studies, 894 participants; low-quality evidence). We downgraded the quality of the studies due to limitations in study design and execution, heterogeneity, wide confidence intervals and fewer than 500 participants in the analysis.

AUTHORS' CONCLUSIONS

We found that the use of mHealth-delivered educational interventions for people with HF shows no evidence of a difference in HF knowledge; uncertainty in the evidence for self-efficacy, self-care and health-related quality of life; and may result in little to no difference in HF-related hospitalisations. The identification of studies currently underway and those awaiting classification indicate that this is an area of research from which further evidence will emerge in the short and longer term.

Existentially Oriented Group Intervention for Patients With Heart Failure: Intervention Development and Preliminary Assessment

BACKGROUND

Patients with heart failure (HF) cope with a chronic, life-threatening, particularly disabling medical condition. Their well-being is considered to be at a greater risk than that of patients with any other cardiovascular disease, and their psychological distress is associated with a worse prognosis. These patients are often preoccupied with existential concerns such as fear of death, loneliness, and a loss of sense of meaning. However, there is a dearth of literature regarding psychological interventions that address these issues among this population.

AIMS

We, the authors of the current pilot study, present the development and initial implementation of a novel protocol: "existentially oriented group intervention for patients with heart failure." Our aims were to test the intervention's feasibility, as well as to explore patients' subjective experience of it.

METHODS

The intervention (consisting of seven 1-hour weekly sessions) was applied to 2 consecutive groups. Twelve patients coping with HF levels III and IV-according to the New York Heart Association classification-from a hospital-based HF clinic participated. The Narrative Evaluation of Intervention Interview was applied.

RESULTS

Although high dropout levels were detected, the patients who fully participated in the program reported on satisfaction and progress in the following 4 domains: personal growth, social support, self-worth, and mastery.

CONCLUSIONS

On the basis of our preliminary findings, the "existentially oriented group intervention for patients with heart failure" is recommended to be further tested among patients coping with HF.

From randomised controlled trial to real world implementation of a novel home-based heart failure tool: pooled and comparative analyses of two clinical controlled trials

Objectives

A home-based tool for heart failure (HF) patients, was evaluated in a specialist setting as a randomised controlled trial (RCT) and also in a validation cohort in a primary care setting in a clinical controlled trial (CCT). The tool provides education, symptom monitoring and titration of diuretics. The aim of this study was thus to extend validity of the previous RCT findings in order to describe applicability of the tool in clinical practice.

Methods

Data from both trials were analysed separately, as well as a pooled data set (n=172). Data were analysed with respect to HF related in-hospital days, self-care behaviour and system adherence, during a 6-month intervention. The analysis of in-hospital days for the pooled data was adjusted for baseline differences between the two study cohorts, relating to disease state.

Results

In the RCT (n=72) the intervention group (IG) consisted of 32 patients and the control group (CG) of 40 patients. The risk ratio (RR) for in-hospital days was RR: 0.72, 95% CI 0.61 to 0.84, p<0.05 in favour of the IG. In the CCT (n=100) both the IG and the CG consisted of 50 patients and the IG had fewer in-hospitals days, comparable to the RCT findings with RR: 0.67; 95% CI 0.45 to 0.99; p<0.05. For the pooled data set made up of 172 patients, the groups were well balanced but with a higher prevalence of hypertension in the CG. The RR relating to in-hospital days for the pooled data set was 0.71; 95% CI 0.61 to 0.82; p<0.05 in favour of the IG. There was a statistically significant improvement in self-care by 27% and the median system adherence was 94%.

Conclusions

These analyses suggest that the evaluated tool might reduce HF related in-hospital days in the general HF population, which adds to the external validity of previous findings.

Clinical Trial Registration

NCT03655496.