Which components of heart failure programmes are effective? A systematic review and meta-analysis of the outcomes of structured telephone support or telemonitoring as the primary component of chronic heart failure management in 8323 patients: Abridged Coc

Continuous Temperature Telemonitoring of Patients with COVID-19 and Other Infectious Diseases Treated in Hospital-at-Home: Viture® System Validation

Body temperature must be monitored in patients receiving Hospital-at-Home (HaH) care for COVID-19 and other infectious diseases. Continuous temperature telemonitoring (CTT) detects fever and patient deterioration early, facilitating decision-making. We performed a validation clinical study assessing the safety, comfort, and impact on healthcare practice of Viture®, a CTT system, compared with a standard digital axillary thermometer in 208 patients with COVID-19 and other infectious diseases treated in HaH at the Navarra University Hospital (HUN). Overall, 3258 pairs of measurements showed a clinical bias of -0.02 °C with limits of agreement of -0.96/+0.92 °C, a 95% acceptance rate, and a mean absolute deviation of 0.36 (SD 0.30) °C. Viture® detected 3 times more febrile episodes and revealed fever in 50% more patients compared with spot measurements. Febrile episodes were detected 7.23 h (mean) earlier and modified the diagnostic and/or therapeutic approach in 43.2% of patients. Viture® was validated for use in a clinical setting and was more effective in detecting febrile episodes than conventional methods.

Accurate Modeling of Ejection Fraction and Stroke Volume With Mobile Phone Auscultation: Prospective Case-Control Study

BACKGROUND

Heart failure (HF) contributes greatly to morbidity, mortality, and health care costs worldwide. Hospital readmission rates are tracked closely and determine federal reimbursement dollars. No current modality or technology allows for accurate measurement of relevant HF parameters in ambulatory, rural, or underserved settings. This limits the use of telehealth to diagnose or monitor HF in ambulatory patients.

OBJECTIVE

This study describes a novel HF diagnostic technology using audio recordings from a standard mobile phone.

METHODS

This prospective study of acoustic microphone recordings enrolled convenience samples of patients from 2 different clinical sites in 2 separate areas of the United States. Recordings were obtained at the aortic (second intercostal) site with the patient sitting upright. The team used recordings to create predictive algorithms using physics-based (not neural networks) models. The analysis matched mobile phone acoustic data to ejection fraction (EF) and stroke volume (SV) as evaluated by echocardiograms. Using the physics-based approach to determine features eliminates the need for neural networks and overfitting strategies entirely, potentially offering advantages in data efficiency, model stability, regulatory visibility, and physical insightfulness.

RESULTS

Recordings were obtained from 113 participants. No recordings were excluded due to background noise or for any other reason. Participants had diverse racial backgrounds and body surface areas. Reliable echocardiogram data were available for EF from 113 patients and for SV from 65 patients. The mean age of the EF cohort was 66.3 (SD 13.3) years, with female patients comprising 38.3% (43/113) of the group. Using an EF cutoff of ≤40% versus >40%, the model (using 4 features) had an area under the receiver operating curve (AUROC) of 0.955, sensitivity of 0.952, specificity of 0.958, and accuracy of 0.956. The mean age of the SV cohort was 65.5 (SD 12.7) years, with female patients comprising 34% (38/65) of the group. Using a clinically relevant SV cutoff of <50 mL versus >50 mL, the model (using 3 features) had an AUROC of 0.922, sensitivity of 1.000, specificity of 0.844, and accuracy of 0.923. Acoustics frequencies associated with SV were observed to be higher than those associated with EF and, therefore, were less likely to pass through the tissue without distortion.

CONCLUSIONS

This work describes the use of mobile phone auscultation recordings obtained with unaltered cellular microphones. The analysis reproduced the estimates of EF and SV with impressive accuracy. This technology will be further developed into a mobile app that could bring screening and monitoring of HF to several clinical settings, such as home or telehealth, rural, remote, and underserved areas across the globe. This would bring high-quality diagnostic methods to patients with HF using equipment they already own and in situations where no other diagnostic and monitoring options exist.

The effects of weight management on heart failure: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Weight management is an important part of disease management in patients with heart failure. However, the effectiveness of reported weight management interventions is inconclusive.

AIMS

The aim of this systematic review and meta-analysis was to assess the effects of weight management on functional status, heart failure-related hospitalizations, and all-cause mortality in patients with heart failure.

METHODS

PubMed, Web of Science, Embase, and the Cochrane Library were searched on April 3, 2022. This study was registered with PROSPERO (CRD42021283817). Eligible studies assessed functional status, heart failure-related hospitalizations, and all-cause mortality in patients with heart failure. Two researchers independently screened the articles, extracted data, and evaluated the risk bias of each study. Dichotomous variables were presented as OR with a 95% confidence interval (CI). The data were analyzed using a fixed effect or random effect model, and heterogeneity was determined using I2 statistics. All statistical analyses were conducted using RevMan 5.3.

RESULTS

Among 4279 studies screened, seven randomized controlled trials were included in this study. The results showed that weight management significantly improved functional status (OR = 0.15, 95% CI [0.07, 0.35], I2 = 52%) and reduced the risk of all-cause mortality (OR = 0.54, 95% CI [0.34, 0.85], I2 = 0%), but had no significant effect on heart failure-related hospitalizations (OR = 0.72, 95% CI [0.20, 2.66]).

LINKING EVIDENCE TO ACTION

Weight management has effects on improved functional status and reduced all-cause mortality in patients with heart failure. It is necessary to strengthen the weight management interventions of patients with heart failure to improve patients' functional status and reduce all-cause mortality.

Heart Failure Management through Telehealth: Expanding Care and Connecting Hearts

Heart failure (HF) is a leading cause of morbidity worldwide, imposing a significant burden on deaths, hospitalizations, and health costs. Anticipating patients' deterioration is a cornerstone of HF treatment: preventing congestion and end organ damage while titrating HF therapies is the aim of the majority of clinical trials. Anyway, real-life medicine struggles with resource optimization, often reducing the chances of providing a patient-tailored follow-up. Telehealth holds the potential to drive substantial qualitative improvement in clinical practice through the development of patient-centered care, facilitating resource optimization, leading to decreased outpatient visits, hospitalizations, and lengths of hospital stays. Different technologies are rising to offer the best possible care to many subsets of patients, facing any stage of HF, and challenging extreme scenarios such as heart transplantation and ventricular assist devices. This article aims to thoroughly examine the potential advantages and obstacles presented by both existing and emerging telehealth technologies, including artificial intelligence.

Self-efficacy and healthcare costs in patients with chronic heart failure or chronic obstructive pulmonary disease

AIMS

This study aims to explore possible associations between self-efficacy and healthcare and drug expenditures (i.e. direct costs) in patients with chronic heart failure (CHF) or chronic obstructive pulmonary disease (COPD) in a study investigating the effects of person-centred care delivered by telephone.

METHODS AND RESULTS

This exploratory analysis uses data from an open randomized controlled trial conducted between January 2015 and November 2016, providing remote person-centred care by phone to patients with CHF, COPD, or both. Patients hospitalized due to worsening of CHF or COPD were eligible for the study. Randomization was based on a computer-generated list, stratified for age ≥ 75 and diagnosis. At a 6 month follow-up, 118 persons remained in a control group and 103 in an intervention group. The intervention group received person-centred care by phone as an addition to usual care. Trial data were linked to register data on healthcare and drug use. Group-based trajectory modelling was applied to identify trajectories for general self-efficacy and direct costs. Next, associations between self-efficacy trajectories and costs were assessed using regression analysis. Five trajectories were identified for general self-efficacy, of which three indicated different levels of increasing or stable self-efficacy, while two showed a decrease over time in self-efficacy. Three trajectories were identified for costs, indicating a gradient from lower to higher accumulated costs. Increasing or stable self-efficacy was associated with lower direct costs (P = 0.0013).

CONCLUSIONS

The findings show that an increased or sustained self-efficacy is associated with lower direct costs in patients with CHF or COPD. Person-centred phone contacts used as an add-on to usual care could result in lower direct costs for those with stable or increasing self-efficacy.

Costs and Cardiovascular Benefits of a Fourth-Generation Synchronous Telehealth Program on Mortality and Cardiovascular Outcomes for Patients With Atrial Fibrillation: Retrospective Cohort Study

BACKGROUND

The prevalence of atrial fibrillation (AF) continues to increase in modern aging society. Patients with AF are at high risk for multiple adverse cardiovascular events, including heart failure, stroke, and mortality. Improved medical care is needed for patients with AF to enhance their quality of life and limit their medical resource utilization. With advances in the internet and technology, telehealth programs are now widely used in medical care. A fourth-generation telehealth program offers synchronous and continuous medical attention in response to physiological parameters measured at home. Although we have previously shown the benefits of this telehealth program for some patients with a high risk of cardiovascular disease, its benefits for patients with AF remains uncertain.

OBJECTIVE

This study aims to investigate the benefits of participating in a fourth-generation telehealth program for patients with AF in relation to cardiovascular outcomes.

METHODS

This was a retrospective cohort study. We retrospectively searched the medical records database of a tertiary medical center in Northern Taiwan between January 2007 and December 2017. We screened 5062 patients with cardiovascular disease and enrolled 537 patients with AF, of which 279 participated in the telehealth program and 258 did not. Bias was reduced using the inverse probability of treatment weighting adjustment based on the propensity score. Outcomes were collected and analyzed, including all-cause readmission, admission for heart failure, acute coronary syndrome, ischemic stroke, systemic embolism, bleeding events, all-cause mortality, and cardiovascular death within the follow-up period. Total medical expenses and medical costs in different departments were also compared. Subgroup analyses were conducted on ischemic stroke stratified by several subgroup variables.

RESULTS

The mean follow-up period was 3.0 (SD 1.7) years for the telehealth group and 3.4 (SD 1.9) years for the control group. After inverse probability of treatment weighting adjustment, the patients in the telehealth program had significantly fewer ischemic strokes (2.0 vs 4.5 events per 100 person-years; subdistribution hazard ratio [SHR] 0.45, 95% CI 0.22-0.92) and cardiovascular deaths (2.5 vs 5.9 events per 100 person-years; SHR 0.43, 95% CI 0.18-0.99) at the follow-up. The telehealth program particularly benefited patients comorbid with vascular disease (SHR 0.11, 95% CI 0.02-0.53 vs SHR 1.16, 95% CI 0.44-3.09; P=.01 for interaction). The total medical expenses during follow-up were similar in the telehealth and control groups.

CONCLUSIONS

This study demonstrated the benefits of participating in the fourth-generation telehealth program for patients with AF by significantly reducing their ischemic stroke risk while spending the same amount on medical expenses.

An overview of the effect of telehealth on mortality: A systematic review of meta-analyses

INTRODUCTION

Telehealth is recognised as a viable way of providing health care over distance, and an effective way to increase access for individuals with transport difficulties or those living in rural and remote areas. While telehealth has many positives for patients, clinicians and the health system, it is important that changes in the delivery of health care (e.g. in-person to telehealth) do not result in inferior or unsafe care. In this review, we collate existing meta-analyses of mortality rates to provide a holistic view of the current evidence regarding telehealth safety.

METHODS

In November 2020, a search of Pretty Darn Quick Evidence portal was conducted in order to locate systematic reviews published between 2010 and 2019, examining and meta-analysing the effect of telehealth interventions on mortality compared to usual care.

RESULTS

This review summarises evidence from 24 meta-analyses. Five overarching medical disciplines were represented (cardiovascular, neurology, pulmonary, obstetrics and intensive care). Overall, telehealth did not increase mortality rates.

DISCUSSION

The evidence from this review can be used by decision makers, in conjunction with other disease-specific and health economic evidences, to support and guide telehealth implementation plans.

Smartphone-Based Cardiac Rehabilitation Program Improves Functional Capacity in Coronary Heart Disease Patients: A Systematic Review and Meta-Analysis

Cardiac rehabilitation (CR) reduces mortality and morbidity in coronary heart disease (CHD); however, patients show a lack of adherence to CR. Alternatively, telehealth interventions have shown promising results for improving target outcomes in CR. This study aimed to review the effect of smartphone-based CR on the functional capacity of CHD patients. A literature search was performed using PubMed, MEDLINE, Embase, and Cochrane Library on 21 March, 2022 to find randomised controlled trials on smartphone usage in CR to improve functional capacity. Outcomes included maximal oxygen consumption (VO2 max), a 6-min walk test (6-MWT), quality of life, smoking cessation, and modifiable risk factors. Eleven trials recruiting CHD patients were reviewed. Wearable devices connected to smartphone- or chat-based applications were commonly used for CR delivery. Most trials managed to provide exercise prescriptions, education on medication adherence and controlling risk factors, and psychosocial counselling through the intervention. Functional capacity improved significantly following smartphone-based CR in CHD patients compared to control groups, as measured by VO2 max and 6-MWT; patients were more likely to quit smoking. Compared to traditional care, smartphones that delivered CR to CHD patients demonstrate superior outcomes regarding increasing functional capacity. There is no significant improvement on lipid profile, blood pressure, HbA1C, body mass index, and quality of life. It can be used either alone or as an adjunct. Ultimately, the patients' preferences and circumstances should be considered.

An evidence map of systematic reviews on models of outpatient care for patients with chronic heart diseases

BACKGROUND

Chronic heart disease affects millions of people worldwide and the prevalence is increasing. By now, there is an extensive literature on outpatient care of people with chronic heart disease. We aimed to systematically identify and map models of outpatient care for people with chronic heart disease in terms of the interventions included and the outcomes measured and reported to determine areas in need of further research.

METHODS

We created an evidence map of published systematic reviews. PubMed, Cochrane Library (Wiley), Web of Science, and Scopus were searched to identify all relevant articles from January 2000 to June 2021 published in English or German language. From each included systematic review, we abstracted search dates, number and type of included studies, objectives, populations, interventions, and outcomes. Models of care were categorised into six approaches: cardiac rehabilitation, chronic disease management, home-based care, outpatient clinic, telemedicine, and transitional care. Intervention categories were developed inductively. Outcomes were mapped onto the taxonomy developed by the COMET initiative.

RESULTS

The systematic literature search identified 8043 potentially relevant publications on models of outpatient care for patients with chronic heart diseases. Finally, 47 systematic reviews met the inclusion criteria, covering 1206 primary studies (including double counting). We identified six different models of care and described which interventions were used and what outcomes were included to measure their effectiveness. Education-related and telemedicine interventions were described in more than 50% of the models of outpatient care. The most frequently used outcome domains were death and life impact.

CONCLUSION

Evidence on outpatient care for people with chronic heart diseases is broad. However, comparability is limited due to differences in interventions and outcome measures. Outpatient care for people with coronary heart disease and atrial fibrillation is a less well-studied area compared to heart failure. Our evidence mapping demonstrates the need for a core outcome set and further studies to examine the effects of models of outpatient care or different interventions with adjusted outcome parameters.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO (CRD42020166330).

Longer-Term Effects of Remote Patient Management Following Hospital Discharge After Acute Systolic Heart Failure: The Randomized E-INH Trial

BACKGROUND

The randomized INH (Interdisciplinary Network Heart Failure) trial (N = 715) reported that 6 months' remote patient management (RPM) (HeartNetCare-HF) did not reduce the primary outcome (time to all-cause death/rehospitalization) vs usual care (UC) in patients discharged after admission for acute heart failure, but suggested lower mortality and better quality of life in the RPM group.

OBJECTIVES

The Extended (E)-INH trial investigated the effects of 18 months' HeartNetCare-HF on the same primary outcome in an expanded population (N = 1,022) and followed survivors up to 60 months (primary outcome events) or up to 120 months (mortality) after RPM termination.

METHODS

Eligible patients aged ≥18 years, hospitalized for acute heart failure, and with predischarge ejection fraction ≤40% were randomized to RPM (RPM+UC; n = 509) or control (UC; n = 513). Follow-up visits were every 6 months during RPM, and then at 36, 60, and 120 months.

RESULTS

The primary outcome did not differ between groups at 18 months (60.7% [95% CI: 56.5%-65.0%] vs 61.2% [95% CI: 57.0%-65.4%]) or 60 months (78.1% [95% CI: 74.4%-81.6%] vs 82.8% [95% CI: 79.5%-86.0%]). At 60 and 120 months, all-cause mortality was lower in patients previously undergoing RPM (41.1% [95% CI: 37.0%-45.5%] vs 47.4% [95% CI: 43.2%-51.8%]; P = 0.040 and 64.0% [95% CI: 59.8%-68.2%] vs 69.6% [95% CI: 65.6%-73.5%]; P = 0.019). At all visits, health-related quality of life was better in patients exposed to HeartNetCare-HF vs UC.

CONCLUSIONS

Although 18 months' HeartNetCare-HF did not significantly reduce the primary outcome of death or rehospitalization at 60 months, lower 120-month mortality in patients previously undergoing HeartNetCare-HF suggested beneficial longer-term effects, although the possibility of a chance finding remains.

Telemonitoring in heart failure patients: Systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Home telemonitoring has been used as a modality to prevent readmission and improve outcomes for patients with heart failure. However, studies have produced conflicting outcomes over the years.

AIM

To determine the aggregate effect of telemonitoring on all-cause mortality, heart failure-related mortality, all-cause hospitalization, and heart failure-related hospitalization in heart failure patients.

METHODS

We conducted a systematic review and meta-analysis of 38 home telemonitoring randomized controlled trials involving 14993 patients. We also conducted a sensitivity analysis to examine the effect of telemonitoring duration, recent heart failure hospitalization, and age on telemonitoring outcomes.

RESULTS

Our study demonstrated that home telemonitoring in heart failure patients was associated with reduced all-cause [relative risk (RR) = 0.83, 95% confidence interval (CI): 0.75-0.92, P = 0.001] and cardiovascular mortality (RR = 0.66, 95%CI: 0.54-0.81, P < 0.001). Additionally, telemonitoring decreased the all-cause hospitalization (RR = 0.87, 95%CI: 0.80-0.94, P = 0.002) but did not decrease heart failure-related hospitalization (RR = 0.88, 95%CI: 0.77-1.01, P = 0.066). However, prolonged home telemonitoring (12 mo or more) was associated with both decreased all-cause and heart failure hospitalization, unlike shorter duration (6 mo or less) telemonitoring.

CONCLUSION

Home telemonitoring using digital/broadband/satellite/wireless or blue-tooth transmission of physiological data reduces all-cause and cardiovascular mortality in heart failure patients. In addition, prolonged telemonitoring (≥ 12 mo) reduces all-cause and heart failure-related hospitalization. The implication for practice is that hospitals considering telemonitoring to reduce heart failure readmission rates may need to plan for prolonged telemonitoring to see the effect they are looking for.

Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review

BACKGROUND

Home health monitoring shows promise in improving health outcomes; however, navigating the literature remains challenging given the breadth of evidence. There is a need to summarize the effectiveness of monitoring across health domains and identify gaps in the literature. In addition, ethical and user-centered frameworks are important to maximize the acceptability of health monitoring technologies.

OBJECTIVE

This review aimed to summarize the clinical evidence on home-based health monitoring through a scoping review and outline ethical and user concerns and discuss the challenges of the current user-oriented conceptual frameworks.

METHODS

A total of 2 literature reviews were conducted. We conducted a scoping review of systematic reviews in Scopus, MEDLINE, Embase, and CINAHL in July 2021. We included reviews examining the effectiveness of home-based health monitoring in older adults. The exclusion criteria included reviews with no clinical outcomes and lack of monitoring interventions (mobile health, telephone, video interventions, virtual reality, and robots). We conducted a quality assessment using the Assessment of Multiple Systematic Reviews (AMSTAR-2). We organized the outcomes by disease and summarized the type of outcomes as positive, inconclusive, or negative. Second, we conducted a literature review including both systematic reviews and original articles to identify ethical concerns and user-centered frameworks for smart home technology. The search was halted after saturation of the basic themes presented.

RESULTS

The scoping review found 822 systematic reviews, of which 94 (11%) were included and of those, 23 (24%) were of medium or high quality. Of these 23 studies, monitoring for heart failure or chronic obstructive pulmonary disease reduced exacerbations (4/7, 57%) and hospitalizations (5/6, 83%); improved hemoglobin A1c (1/2, 50%); improved safety for older adults at home and detected changing cognitive status (2/3, 66%) reviews; and improved physical activity, motor control in stroke, and pain in arthritis in (3/3, 100%) rehabilitation studies. The second literature review on ethics and user-centered frameworks found 19 papers focused on ethical concerns, with privacy (12/19, 63%), autonomy (12/19, 63%), and control (10/19, 53%) being the most common. An additional 7 user-centered frameworks were studied.

CONCLUSIONS

Home health monitoring can improve health outcomes in heart failure, chronic obstructive pulmonary disease, and diabetes and increase physical activity, although review quality and consistency were limited. Long-term generalized monitoring has the least amount of evidence and requires further study. The concept of trade-offs between technology usefulness and acceptability is critical to consider, as older adults have a hierarchy of concerns. Implementing user-oriented frameworks can allow long-term and larger studies to be conducted to improve the evidence base for monitoring and increase the receptiveness of clinicians, policy makers, and end users.

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.

[Telemonitoring of heart failure, the challenge of the first exchanges]

Heart failure is a health issue. Telemonitoring within the framework of the Telemedicine Experiments for the Improvement of Health Care Pathways makes it possible to prevent the risks of rehospitalization. This article demonstrates the interest and the characteristics of a nursing interview in the first days following hospital discharge, which is not described in the specifications, through the experience of the remote monitoring unit of the Hôpital privé du Confluent, based in Nantes (44).

Optimal effectiveness of heart failure management - an umbrella review of meta-analyses examining the effectiveness of interventions to reduce (re)hospitalizations in heart failure

Heart failure (HF) is a major health concern, which accounts for 1-2% of all hospital admissions. Nevertheless, there remains a knowledge gap concerning which interventions contribute to effective prevention of HF (re)hospitalization. Therefore, this umbrella review aims to systematically review meta-analyses that examined the effectiveness of interventions in reducing HF-related (re)hospitalization in HFrEF patients. An electronic literature search was performed in PubMed, Web of Science, PsycInfo, Cochrane Reviews, CINAHL, and Medline to identify eligible studies published in the English language in the past 10 years. Primarily, to synthesize the meta-analyzed data, a best-evidence synthesis was used in which meta-analyses were classified based on level of validity. Secondarily, all unique RCTS were extracted from the meta-analyses and examined. A total of 44 meta-analyses were included which encompassed 186 unique RCTs. Strong or moderate evidence suggested that catheter ablation, cardiac resynchronization therapy, cardiac rehabilitation, telemonitoring, and RAAS inhibitors could reduce (re)hospitalization. Additionally, limited evidence suggested that multidisciplinary clinic or self-management promotion programs, beta-blockers, statins, and mitral valve therapy could reduce HF hospitalization. No, or conflicting evidence was found for the effects of cell therapy or anticoagulation. This umbrella review highlights different levels of evidence regarding the effectiveness of several interventions in reducing HF-related (re)hospitalization in HFrEF patients. It could guide future guideline development in optimizing care pathways for heart failure patients.

Usability and feasibility assessment of a smartphone application (Suhriday) for heart failure self-care remote monitoring in an Indian tertiary health care setting: a pilot mixed-methods study

BACKGROUND/OBJECTIVES

Remote monitoring as a component of chronic heart failure (CHF) management programmes has demonstrated utility in reducing the risk of rehospitalisation and mortality. There is little evidence on mobile health app facilitated remote monitoring in India. We conducted a pilot usability and feasibility assessment of a smartphone-based application (Suhriday) to remotely monitor patients with CHF.

METHODS

We used a mixed-methods design. Usability testing consisted of the think-aloud approach followed by semistructured in-depth interviews (SSIs) and a satisfaction questionnaire. Feasibility testing was done using acceptability and user satisfaction questionnaires in addition to SSIs. We trained five purposively sampled patients with CHF (based on health literacy and gender) and their caregivers (n=10) in self-care monitoring and app use. Usability was assessed using metrics such as task completion, time required for task completion and user satisfaction using Brooke's System Usability Scale (SUS). Content analysis of the transcripts with deductive coding was performed for both usability and feasibility interviews. The number and types of medical alerts transmitted through the app were captured and escalated to the treating team.

RESULTS

Critical tasks involving (1) opening the app and identifying task list, (2) reporting blood pressure, weight, heart rate and fluid intake and (3) reporting symptoms were completed within 60 s by four patients. Median (IQR) SUS score was 85 (75-92.5) indicating high level of usability. There were 62 alerts from four patients over 4 weeks, with 36 (58.1%) excess fluid intake alerts and 16 (25.8%) blood pressure variations being the most frequent. One participant had challenges using the app and was monitored through active phone calls.

CONCLUSION

Overall usability and satisfaction with Suhriday were good and we were able to remotely manage patients. However, patients with limited health literacy and those facing technological challenges required active structured telephone support.

A Quality Improvement Project to Support Post-Intensive Care Unit Patients with COVID-19: Structured Telephone Support

BACKGROUND

More than 50% of intensive care unit (ICU) survivors suffer from long-lasting physical, psychosocial, and cognitive health impairments, also called "post-intensive care syndrome" (PICS). Intensive care admission during the COVID-19 pandemic was especially uncertain and stressful, both for patients and for their family. An additional risk of developing symptoms of PICS was feared in the absence of structural aftercare for the patient and family shortly after discharge from the hospital. The purpose of this quality improvement study was to identify PICS symptoms and to support post-intensive care patients and families in the transition from the hospital to the home. Therefore, we offered post-ICU patients and families structured telephone support (STS).

METHODS

This was a quality improvement study during the 2019 COVID-19 pandemic. A project team developed and implemented a tool to structure telephone calls to identify and order symptoms according to the PICS framework and to give individual support based on this information. We supported post-ICU patients diagnosed with COVID-19 pneumonia and their family caregivers within four weeks after hospital discharge. The reported findings were both quantitative and qualitative.

RESULTS

Forty-six post-ICU patients received structured telephone support and reported symptoms in at least one of the three domains of the PICS framework. More than half of the patients experienced a loss of strength or condition and fatigue. Cognitive and psychological impairments were reported less frequently. Family caregivers reported fewer impairments concerning fatigue and sleeping problems and expressed a need for a continuity of care. Based on the obtained information, the ICU nurse practitioners were able to check if individual care plans were optimal and clear and, if indicated, initiated disciplines to optimize further follow-up.

CONCLUSIONS

The implementation of the STS tool gave insight in the impairments of post-ICU patients. Surprisingly, family caregivers expressed fewer impairments. Giving support early after hospital discharge in a structured way may contribute to providing guidance in the individual care plans and treatment of the early symptoms of PICS (-F).

Home Telemonitoring and a Diagnostic Algorithm in the Management of Heart Failure in the Netherlands: Cost-effectiveness Analysis

BACKGROUND

Heart failure is a major health concern associated with significant morbidity, mortality, and reduced quality of life in patients. Home telemonitoring (HTM) facilitates frequent or continuous assessment of disease signs and symptoms, and it has shown to improve compliance by involving patients in their own care and prevent emergency admissions by facilitating early detection of clinically significant changes. Diagnostic algorithms (DAs) are predictive mathematical relationships that make use of a wide range of collected data for calculating the likelihood of a particular event and use this output for prioritizing patients with regard to their treatment.

OBJECTIVE

This study aims to assess the cost-effectiveness of HTM and a DA in the management of heart failure in the Netherlands. Three interventions were analyzed: usual care, HTM, and HTM plus a DA.

METHODS

A previously published discrete event simulation model was used. The base-case analysis was performed according to the Dutch guidelines for economic evaluation. Sensitivity, scenario, and value of information analyses were performed. Particular attention was given to the cost-effectiveness of the DA at various levels of diagnostic accuracy of event prediction and to different patient subgroups.

RESULTS

HTM plus the DA extendedly dominates HTM alone, and it has a deterministic incremental cost-effectiveness ratio compared with usual care of €27,712 (currency conversion rate in purchasing power parity at the time of study: €1=US $1.29; further conversions are not applicable in cost-effectiveness terms) per quality-adjusted life year. The model showed robustness in the sensitivity and scenario analyses. HTM plus the DA had a 96.0% probability of being cost-effective at the appropriate €80,000 per quality-adjusted life year threshold. An optimal point for the threshold value for the alarm of the DA in terms of its cost-effectiveness was estimated. New York Heart Association class IV patients were the subgroup with the worst cost-effectiveness results versus usual care, while HTM plus the DA was found to be the most cost-effective for patients aged <65 years and for patients in New York Heart Association class I.

CONCLUSIONS

Although the increased costs of adopting HTM plus the DA in the management of heart failure may seemingly be an additional strain on scarce health care resources, the results of this study demonstrate that, by increasing patient life expectancy by 1.28 years and reducing their hospitalization rate by 23% when compared with usual care, the use of this technology may be seen as an investment, as HTM plus the DA in its current form extendedly dominates HTM alone and is cost-effective compared with usual care at normally accepted thresholds in the Netherlands.

Remote Monitoring and Behavioral Economics in Managing Heart Failure in Patients Discharged From the Hospital: A Randomized Clinical Trial

IMPORTANCE

Close remote monitoring of patients following discharge for heart failure (HF) may reduce readmissions or death.

OBJECTIVE

To determine whether remote monitoring of diuretic adherence and weight changes with financial incentives reduces hospital readmissions or death following discharge with HF.

DESIGN, SETTING, AND PARTICIPANTS

The Electronic Monitoring of Patients Offers Ways to Enhance Recovery (EMPOWER) study, a 3-hospital pragmatic trial, randomized 552 adults recently discharged with HF to usual care (n = 280) or a compound intervention (n = 272) designed to inform clinicians of diuretic adherence and changes in patient weight. Patients were recruited from May 25, 2016, to April 8, 2019, and followed up for 12 months. Investigators were blinded to assignment but patients were not. Analysis was by intent to treat.

INTERVENTIONS

Participants randomized to the intervention arm received digital scales, electronic pill bottles for diuretic medication, and regret lottery incentives conditional on the previous day's adherence to both medication and weight measurement, with $1.40 expected daily value. Participants' physicians were alerted if participants' weights increased 1.4 kg in 24 hours or 2.3 kg in 72 hours or if diuretic medications were missed for 5 days. Alerts and weights were integrated into the electronic health record. Participants randomized to the control arm received usual care and no further study contact.

MAIN OUTCOMES AND MEASURES

Time to death or readmission for any cause within 12 months.

RESULTS

Of the 552 participants, 290 were men (52.5%); 291 patients (52.7%) were Black, 231 were White (41.8%), and 16 were Hispanic (2.9%); mean (SD) age was 64.5 (11.8) years. The mean (SD) ejection fraction was 43% (18.1%). Each month, approximately 75% of participants were 80% adherent to both medication and weight measurement. There were 423 readmissions and 26 deaths in the control group and 377 readmissions and 23 deaths in the intervention group. There was no significant difference between the 2 groups for the combined outcome of all-cause inpatient readmission or death (unadjusted hazard ratio, 0.91; 95% CI, 0.74-1.13; P = .40) and no significant differences in all-cause inpatient readmission or observation stay or death, all-cause cardiovascular readmission or death, time to first event, and total all-cause deaths. Participants in the intervention group were slightly more likely to spend fewer days in the hospital.

CONCLUSIONS AND RELEVANCE

In this randomized clinical trial, there was no reduction in the combined outcome of readmission or mortality in a year-long intensive remote monitoring program with incentives for patients previously hospitalized for HF.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT02708654.

The First Year of Noninvasive Remote Telemonitoring in Chronic Heart Failure Is not Cost Saving but Improves Quality of Life: The Randomized Controlled CardioBBEAT Trial

Introduction: Remote telemonitoring (RTM) for patients with chronic heart failure (HF) holds promise to improve prognosis and well-being beyond the standard of care (SoC). The CardioBBEAT trial assessed the health economic and clinical impact of an interactive bidirectional RTM system (Motiva®) versus SoC for patients with HF and a reduced ejection fraction (HFrEF), in Germany. Methods: This multicenter, randomized controlled trial enrolled 621 patients with HFrEF (mean age 63.0 ± 11.5 years, 88% men). The primary endpoint was the integrated effect of the intervention on total costs and nonhospitalized days alive after 12 months, reported as incremental cost-effectiveness ratio (ICER). Costs (in k€) were based on actual charges of patients' statutory health insurance. Among secondary outcome measures were mortality and disease-specific quality of life. Results: We found a neutral effect on nonhospitalized days alive (RTM mean 341 ± 59 days, SoC 346 ± 45 days; p = 0.298) associated with increased total costs (RTM 18.5 ± 39.5 k€, SoC 12.8 ± 22.0 k€; p = 0.046). This yielded an ICER of -1.15 k€/day. RTM did not impact mortality risk. All quality of life scales were consistently and meaningfully improved in the RTM group at 12 months compared to SoC (all p < 0.01). Conclusions: The first 12 months of RTM were not cost-effective compared to SoC in patients with HFrEF, but associated with a relevant improvement in disease-specific quality of life. The balanced assessment of the potential benefit of RTM requires integration of both the societal and patient perspective. ClinTrials.gov (NCT02293252).

Posthospitalization Follow-Up of Patients With Heart Failure Using eHealth Solutions: Restricted Systematic Review

BACKGROUND

Heart failure (HF) is a clinical syndrome with high incidence rates, a substantial symptom and treatment burden, and a significant risk of readmission within 30 days after hospitalization. The COVID-19 pandemic has revealed the significance of using eHealth interventions to follow up on the care needs of patients with HF to support self-care, increase quality of life (QoL), and reduce readmission rates during the transition between hospital and home.

OBJECTIVE

The aims of this review are to summarize research on the content and delivery modes of HF posthospitalization eHealth interventions, explore patient adherence to the interventions, and examine the effects on the patient outcomes of self-care, QoL, and readmissions.

METHODS

A restricted systematic review study design was used. Literature searches and reviews followed the (PRISMA-S) Preferred Reporting Items for Systematic Reviews and Meta-Analyses literature search extension checklist, and the CINAHL, MEDLINE, Embase, and Cochrane Library databases were searched for studies published between 2015 and 2020. The review process involved 3 groups of researchers working in pairs. The Mixed Methods Appraisal Tool was used to assess the included studies' methodological quality. A thematic analysis method was used to analyze data extracted from the studies.

RESULTS

A total of 18 studies were examined in this review. The studies were published between 2015 and 2019, with 56% (10/18) of them published in the United States. Of the 18 studies, 16 (89%) were randomized controlled trials, and 14 (78%) recruited patients upon hospital discharge to eHealth interventions lasting from 14 days to 12 months. The studies involved structured telephone calls, interactive voice response, and telemonitoring and included elements of patient education, counseling, social and emotional support, and self-monitoring of symptoms and vital signs. Of the 18 studies, 11 (61%) provided information on patient adherence, and the adherence levels were 72%-99%. When used for posthospitalization follow-up of patients with HF, eHealth interventions can positively affect QoL, whereas its impact is less evident for self-care and readmissions.

CONCLUSIONS

This review suggests that patients with HF should receive prompt follow-up after hospitalization and eHealth interventions have the potential to improve these patients' QoL. Patient adherence in eHealth follow-up trials shows promise for successful future interventions and adherence research. Further studies are warranted to examine the effects of eHealth interventions on self-care and readmissions among patients with HF.

Telemedicine in Cardiology: Modern Technologies to Improve Cardiovascular Patients’ Outcomes—A Narrative Review

The registration of physical signals has long been an important part of cardiological diagnostics. Current technology makes it possible to send large amounts of data to remote locations. Solutions that enable diagnosis and treatment without direct contact with patients are of enormous value, especially during the COVID-19 outbreak, as the elderly require special protection. The most important examples of telemonitoring in cardiology include the use of implanted devices such as pacemakers and defibrillators, as well as wearable sensors and data processing units. The arrythmia detection and monitoring patients with heart failure are the best studied in the clinical setting, although in many instances we still lack clear evidence of benefits of remote approaches vs. standard care. Monitoring for ischemia is less well studied. It is clear however that the economic and organizational gains of telemonitoring for healthcare systems are substantial. Both patients and healthcare professionals have expressed an enormous demand for the further development of such technologies. In addition to these subjects, in this paper we also describe the safety concerns associated with transmitting and storing potentially sensitive personal data.

Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study

Background

Continuous telemonitoring of vital signs in a clinical or home setting may lead to improved knowledge of patients’ baseline vital signs and earlier detection of patient deterioration, and it may also facilitate the migration of care toward home. Little is known about the performance of available wearable sensors, especially during daily life activities, although accurate technology is critical for clinical decision-making.

Objective

The aim of this study is to assess the data availability, accuracy, and concurrent validity of vital sign data measured with wearable sensors in volunteers during various daily life activities in a simulated free-living environment.

Methods

Volunteers were equipped with 4 wearable sensors (Everion placed on the left and right arms, VitalPatch, and Fitbit Charge 3) and 2 reference devices (Oxycon Mobile and iButton) to obtain continuous measurements of heart rate (HR), respiratory rate (RR), oxygen saturation (SpO₂), and temperature. Participants performed standardized activities, including resting, walking, metronome breathing, chores, stationary cycling, and recovery afterward. Data availability was measured as the percentage of missing data. Accuracy was evaluated by the median absolute percentage error (MAPE) and concurrent validity using the Bland-Altman plot with mean difference and 95% limits of agreement (LoA).

Results

A total of 20 volunteers (median age 64 years, range 20-74 years) were included. Data availability was high for all vital signs measured by VitalPatch and for HR and temperature measured by Everion. Data availability for HR was the lowest for Fitbit (4807/13,680, 35.14% missing data points). For SpO₂ measured by Everion, median percentages of missing data of up to 100% were noted. The overall accuracy of HR was high for all wearable sensors, except during walking. For RR, an overall MAPE of 8.6% was noted for VitalPatch and that of 18.9% for Everion, with a higher MAPE noted during physical activity (up to 27.1%) for both sensors. The accuracy of temperature was high for VitalPatch (MAPE up to 1.7%), and it decreased for Everion (MAPE from 6.3% to 9%). Bland-Altman analyses showed small mean differences of VitalPatch for HR (0.1 beats/min [bpm]), RR (−0.1 breaths/min), and temperature (0.5 °C). Everion and Fitbit underestimated HR up to 5.3 (LoA of −39.0 to 28.3) bpm and 11.4 (LoA of −53.8 to 30.9) bpm, respectively. Everion had a small mean difference with large LoA (−10.8 to 10.4 breaths/min) for RR, underestimated SpO₂ (>1%), and overestimated temperature up to 2.9 °C.

Conclusions

Data availability, accuracy, and concurrent validity of the studied wearable sensors varied and differed according to activity. In this study, the accuracy of all sensors decreased with physical activity. Of the tested sensors, VitalPatch was found to be the most accurate and valid for vital signs monitoring.

Impact of Tele-Coaching During the COVID-19 Pandemic on Risk-Reduction Behavior of Patients with Heart Failure

Introduction: Our study assessed the effectiveness of tele-coaching over written information in educating patients with chronic heart failure (CHF) at high risk of hospitalization about corona virus disease 2019 (COVID-19). We analyzed the impact on number of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and self-reported behavior change. Methods: In April 2020, a tele-coaching module and written summary about COVID-19, risk-reduction measures for prevention of COVID-19, and appropriate consultation of medical attention during the pandemic were integrated into an established tele-coaching program. Three hundred seventy-eight patients who had received both tele-coaching and written information 3 weeks earlier were interviewed using a structured questionnaire and compared with 1,748 patients who had only received written information at this point. Results: Tele-coaching had no short-term effect on numbers of SARS-CoV-2 infections. However, patients receiving tele-coaching reported significantly more behavioral changes, including increased room ventilation (88% vs. 78%, p < 0.0001), surface cleaning (80% vs. 70%, p  = 0.0006), wearing of face masks (59% vs. 51%, p  = 0.013), and reduced usage of public transport (77% vs. 68%, p  = 0.0003), despite no observed difference in recall about risk-reduction measures. Moreover, tele-coaching improved patients' knowledge about how to seek medical help in an emergency (46% vs. 36%, p  = 0.0006), with a significant reduction in self-reported doctors' appointments (304 vs. 413 per 1,000 patients, p  = 0.002) and hospital visits (50 vs. 87 per 1,000, p  = 0.033) during the first peak of the pandemic. Conclusion: In a population of patients with CHF at high risk of hospitalization, COVID-19-specific tele-coaching effectively supported behavioral changes and significantly reduced face-to-face medical contacts in a short-term follow-up period.

Setting-Sensitive Conceptualization and Assessment of Quality of Life in Telemedical Care-Study Protocol of the Tele-QoL Project

Quality of life (QoL) is a core patient-reported outcome in healthcare research, alongside primary clinical outcomes. A conceptual, operational, and psychometric elaboration of QoL in the context of TM is needed, because standardized instruments to assess QoL do not sufficiently represent essential aspects of intended outcomes of telemedical applications (TM). The overall aim is to develop an instrument that can adequately capture QoL in TM. For that purpose, an extended working model of QoL will be derived. Subsequently, an instrument will be developed and validated that captures those aspects of QoL that are influenced by TM. The initial exploratory study section includes (a) a systematic literature review, (b) a qualitative survey for concept elicitation, and (c) pre-testings using cognitive debriefings with patients and an expert workshop. The second quantitative section consists of an online expert survey and two patient surveys for piloting and validation of the newly developed instrument. The resulting questionnaire will assess central experiences of patients regarding telemedical applications and its impact on QoL more sensitively. Its use as adjunct instrument will lead to a more appropriate evaluation of TM and contribute to the improvement of care tailored to patients' individual needs.

The role of non-invasive devices for the telemonitoring of heart failure patients

Heart failure (HF) patients represent one of the most prevalent as well as one of the most fragile population encountered in the cardiology and internal medicine departments nowadays. Estimated to account for around 26 million people worldwide, diagnosed patients present a poor prognosis and quality of life with a clinical history accompanied by repeated hospital admissions caused by an exacerbation of their chronic condition. The frequent hospitalizations and the extended hospital stays mean an extremely high economic burden for healthcare institutions. Meanwhile, the number of chronically diseased and elderly patients is continuously rising, and a lack of specialized physicians is evident. To cope with this health emergency, more efficient strategies for patient management, more accurate diagnostic tools, and more efficient preventive plans are needed. In recent years, telemonitoring has been introduced as the potential answer to solve such needs. Different methodologies and devices have been progressively investigated for effective home monitoring of cardiologic patients. Invasive hemodynamic devices, such as CardioMEMS™, have been demonstrated to be reducing hospitalizations and mortality, but their use is however restricted to limited cases. The role of external non-invasive devices for remote patient monitoring, instead, is yet to be clarified. In this review, we summarized the most relevant studies and devices that, by utilizing non-invasive telemonitoring, demonstrated whether beneficial effects in the management of HF patients were effective.

The Effect of Telehealth on Hospital Services Use: Systematic Review and Meta-analysis

BACKGROUND

Telehealth interventions, that is, health care provided over a distance using information and communication technology, are suggested as a solution to rising health care costs by reducing hospital service use. However, the extent to which this is possible is unclear.

OBJECTIVE

The aim of this study is to evaluate the effect of telehealth on the use of hospital services, that is, (duration of) hospitalizations, and to compare the effects between telehealth types and health conditions.

METHODS

We searched PubMed, Scopus, and the Cochrane Library from inception until April 2019. Peer-reviewed randomized controlled trials (RCTs) reporting the effect of telehealth interventions on hospital service use compared with usual care were included. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool and quality of evidence according to the Grading of Recommendations Assessment, Development and Evaluation guidelines.

RESULTS

We included 127 RCTs in the meta-analysis. Of these RCTs, 82.7% (105/127) had a low risk of bias or some concerns overall. High-quality evidence shows that telehealth reduces the risk of all-cause or condition-related hospitalization by 18 (95% CI 0-30) and 37 (95% CI 20-60) per 1000 patients, respectively. We found high-quality evidence that telehealth leads to reductions in the mean all-cause and condition-related hospitalizations, with 50 and 110 fewer hospitalizations per 1000 patients, respectively. Overall, the all-cause hospital days decreased by 1.07 (95% CI -1.76 to -0.39) days per patient. For hospitalized patients, the mean hospital stay for condition-related hospitalizations decreased by 0.89 (95% CI -1.42 to -0.36) days. The effects were similar between telehealth types and health conditions. A trend was observed for studies with longer follow-up periods yielding larger effects.

CONCLUSIONS

Small to moderate reductions in hospital service use can be achieved using telehealth. It should be noted that, despite the large number of included studies, uncertainties around the magnitude of effects remain, and not all effects are statistically significant.

[Remote monitoring of patients with heart failure in real clinical practice]

Prevalence of chronic heart failure (CHF) is continuously growing and is associated with increased incidence of hospitalizations, morbidity and mortality. Furthermore, the increase in the number of rehospitalizations results in greater expenses and worsening of quality of life. In order to decrease the number of unscheduled hospitalizations and the death rate, the outpatient care should be improved, which can be achieved by using telemedical technologies. The aim of this review was collection and analysis of currently available information about the use of telemonitoring for patients with CHF. A systematic search and analysis of reports published from 2010 through 2020 in Web of Science, Scopus, and PubMed/MEDLINE databases was performed.

Tele-Monitoring System for Chronic Diseases Management: Requirements and Architecture

In the last years a large variety of eHealth services and Apps for professional medical users have been developed for different scenarios. The increasing elderly population (+100% in 2050) makes urgent to implement tele-medicine paradigm in the healthcare structures. The need of monitoring large number of patients distributed over the territory, together with the lack of medical resources, makes the adoption of Information Communication Technologies (ICT) crucial for the future healthcare services. This paper presents an ICT architecture model for the provision of tele-monitoring services within a novel proposed remote monitoring concept for healthcare, considering the new Family and Community Nurse (FCN). An integrated and personalized tele-monitoring solution is presented, through a detailed description of the reference network architecture and service platform. Moreover, the preliminary results of the experimental activities carried out for the evaluation of the system in terms of usability in operational scenarios are provided.

Same same-but different: using qualitative studies to inform concept elicitation for quality of life assessment in telemedical care: a request for an extended working model

Background

Although telemedical applications are increasingly used in the area of both mental and physical illness, there is no quality of life (QoL) instrument that takes into account the specific context of the healthcare setting. Therefore, the aim of this study was to determine a concept of quality of life in telemedical care to inform the development of a setting-sensitive patient-reported outcome measure.

Methods

Overall, 63 semi-structured single interviews and 15 focus groups with 68 participants have been conducted to determine the impact of telemedical care on QoL. Participants were patients with chronic physical or mental illnesses, with or without telemedicine supported healthcare as well as telemedical professionals. Mayring's content analysis approach was used to encode the qualitative data using MAXQDA software.

Results

The majority of aspects that influence the QoL of patients dealing with chronic conditions or mental illnesses could be assigned to an established working model of QoL. However, some aspects that were considered important (e. g. perceived safety) were not covered by the pre-existing domains. For that reason, we re-conceptualized the working model of QoL and added a sixth domain, referred to as healthcare-related domain.

Conclusion

Interviewing patients and healthcare professionals brought forth specific aspects of QoL evolving in telemedical contexts. These results reinforce the assumption that existing QoL measurements lack sensitivity to assess the intended outcomes of telemedical applications. We will address this deficiency by a telemedicine-related re-conceptualization of the assessment of QoL and the development of a suitable add-on instrument based on the resulting category system of this study.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-021-01807-8.

Effects of a diuretic adjustment algorithm protocol on heart failure admissions: A randomized clinical trial

INTRODUCTION

The aim of this study was to evaluate the effectiveness of a diuretic adjustment algorithm (DAA) in maintaining clinical stability and reducing HF readmissions using telemonitoring technologies.

METHODS

Randomized clinical trial of patients with an indication for furosemide dose adjustment during routine outpatient visits. In the intervention group (IG), the diuretic dose was adjusted according to the DAA and the patients received telephone calls for 30 days. In the control group (CG), the diuretic dose was adjusted by a physician at baseline only. Co-primary outcomes were hospital readmission and/or emergency department visits due to decompensated HF within 90 days, and a 2-point change in the Clinical Congestion Score and/or a deterioration in New York Heart Association functional class within 30 days.

RESULTS

A total of 206 patients were included. Most patients were male (n=119; 58%), with a mean age of 62 (SD 13) years. Four patients (2%) in the IG and 14 (7%) in the CG were hospitalized for HF (odds ratio (OR) 0.31 (0.10-0.91); p=0.04). Multivariate analysis showed a reduction of 67% in readmissions and/or emergency department visits due to decompensated HF in the IG compared with the CG (95% CI 0.13-0.88; p=0.027). Regarding the combined outcome of HF readmission and/or emergency department visits or clinical instability, the IG had 20% fewer events than the CG within 30 days (IG: n=48 (23%), CG: n=70 (34%); OR 0.80 (0.63-0.93); p=0.03).

DISCUSSION

Using DAA improved the combined outcome in these outpatients, with favorable and significant results that included a reduction in HF admissions and in clinical instability. (NCT02068937).

The Costs and Cardiovascular Benefits in Patients With Peripheral Artery Disease From a Fourth-Generation Synchronous Telehealth Program: Retrospective Cohort Study

BACKGROUND

Patients with peripheral artery disease (PAD) are at high risk for major cardiovascular events, including myocardial infarction, stroke, and hospitalization for heart failure. We have previously shown the clinical efficacy of a fourth-generation synchronous telehealth program for some patients, but the costs and cardiovascular benefits of the program for PAD patients remain unknown.

OBJECTIVE

The telehealth program is now widely used by higher-risk cardiovascular patients to prevent further cardiovascular events. This study investigated whether patients with PAD would also have better cardiovascular outcomes after participating in the fourth-generation synchronous telehealth program.

METHODS

This was a retrospective cohort study. We screened 5062 patients with cardiovascular diseases who were treated at National Taiwan University Hospital and then enrolled 391 patients with a diagnosis of PAD. Of these patients, 162 took part in the telehealth program, while 229 did not and thus served as control patients. Inverse probability of treatment weighting (IPTW) based on the propensity score was used to mitigate possible selection bias. Follow-up outcomes included heart failure hospitalization, acute coronary syndrome, stroke, and all-cause readmission during the 1-year follow-up period and through the last follow-up.

RESULTS

The mean follow-up duration was 3.1 (SD 1.8) years for the patients who participated in the telehealth program and 3.2 (SD 1.8) for the control group. The telehealth program patients exhibited lower risk of ischemic stroke than did the control group in the first year after IPTW (0.9% vs 3.5%; hazard ratio [HR] 0.24; 95% CI 0.07-0.80). The 1-year composite endpoint of vascular accident, including acute coronary syndrome and stroke, was also significantly lower in the telehealth program group after IPTW (2.4% vs 5.2%; HR 0.46; 95% CI 0.21-0.997). At the end of the follow-up, the telehealth program group continued to exhibit a significantly lower rate of ischemic stroke than did the control group after IPTW (0.9% vs 3.5%; HR 0.52, 95% CI 0.28-0.93). Furthermore, the medical costs of the telehealth program patients were not higher than those of the control group, whether in terms of outpatient, emergency department, hospitalization, or total costs.

CONCLUSIONS

The PAD patients who participated in the fourth-generation synchronous telehealth program exhibited lower risk of ischemic stroke events over both mid- and long-term follow-up periods. However, larger-scale and prospective randomized clinical trials are needed to confirm our findings.

Heart failure non-invasive home telemonitoring systems: A systematic review

BACKGROUND AND OBJECTIVE

Heart Failure (HF) is mostly a lifestyle-related disease that is suited to telemonitoring since patients' signs and symptoms can be assessed remotely by healthcare providers. Today, non-invasive telemonitoring programs are increasingly used in HF care to detect patients' deterioration. This study aims to review and assess the distinctive characteristics of the different telemonitoring systems (TMS) tested in HF patients through clinical trials (CTs). Discussing the impact of the evaluation results of these systems is also another objective of this work.

METHODS

The search for CTs studies related to non-invasive home TMS in HF patients has been made in Cochrane Library. Research works of interest were limited to those articles published between 2005 and March 2019.

RESULTS

A total of 24 CTs that fully met the inclusion criteria were included in the final review. The main functionalities of these TMS were analyzed and compared among them. Also, the monitored parameters and significant findings of each trial were described.

CONCLUSIONS

This review shows a wide difference among available functionalities deployed by the reviewed systems. Most of them did not take into account the recommendations of HF management specialists, detailed in the evidence-based Clinical Practice Guidelines (CPGs) of the most relevant cardiology associations. Due to this, there is a wide variety of TMS, which makes a comparison among them difficult. However, the few systems that comply with the CPGs recommendations found promising results, suggesting that the design of TMS for the HF management should take into account the recommendations of specialists (CPGs).

Does remote patient monitoring reduce acute care use? A systematic review

OBJECTIVE

Chronic diseases are associated with increased unplanned acute hospital use. Remote patient monitoring (RPM) can detect disease exacerbations and facilitate proactive management, possibly reducing expensive acute hospital usage. Current evidence examining RPM and acute care use mainly involves heart failure and omits automated invasive monitoring. This study aimed to determine if RPM reduces acute hospital use.

METHODS

A systematic literature review of PubMed, Embase and CINAHL electronic databases was undertaken in July 2019 and updated in October 2020 for studies published from January 2015 to October 2020 reporting RPM and effect on hospitalisations, length of stay or emergency department presentations. All populations and disease conditions were included. Two independent reviewers screened articles. Quality analysis was performed using the Joanna Briggs Institute checklist. Findings were stratified by outcome variable. Subgroup analysis was undertaken on disease condition and RPM technology.

RESULTS

From 2050 identified records, 91 studies were included. Studies were medium-to-high quality. RPM for all disease conditions was reported to reduce admissions, length of stay and emergency department presentations in 49% (n=44/90), 49% (n=23/47) and 41% (n=13/32) of studies reporting each measure, respectively. Remaining studies largely reported no change. Four studies reported RPM increased acute care use. RPM of chronic obstructive pulmonary disease (COPD) was more effective at reducing emergency presentation than RPM of other disease conditions. Similarly, invasive monitoring of cardiovascular disease was more effective at reducing hospital admissions versus other disease conditions and non-invasive monitoring.

CONCLUSION

RPM can reduce acute care use for patients with cardiovascular disease and COPD. However, effectiveness varies within and between populations. RPM's effect on other conditions is inconclusive due to limited studies. Further analysis is required to understand underlying mechanisms causing variation in RPM interventions. These findings should be considered alongside other benefits of RPM, including increased quality of life for patients.

PROSPERO REGISTRATION NUMBER

CRD42020142523.

Role of New Technologies in Supporting the Treatment of Complex Patients

Cardiology represents one of the privileged disciplinary areas for the experimentation and validation of the applications of telemedicine. Telemedicine, and the health technologies that go by the name of eHealth, identify the digital exchange of social and health information in order to support and optimize the care process remotely. Telemonitoring applied to cardiovascular diseases is defined as the recording, remote transmission, storage, and interpretation of cardiovascular parameters and diagnostic images. Meta-analyses have shown that telemedicine-supported models of care not only are effective but also cost-effective.

Impact of a Telephonic Outreach Program on Patient Outcomes Within the Heart Failure Community

BACKGROUND

Telephonic outreach programs (TOPs) can be an effective measure to improve 30-day readmissions and self-management behaviors.

LOCAL PROBLEM

Our health care providers identified that patients admitted with heart failure (HF) were among those with the highest readmission rate, so we implemented a TOP specific to HF.

METHODS

This project evaluated retrospective data from a convenience sample of adult patients admitted to our hospitals between January 2015 and June 2017, with a primary diagnosis of HF, and discharged home (N = 6271). Of those, 1708 patients also had at least partial TOP data, and a subset had timestamped TOP data (n = 1524).

INTERVENTIONS

The TOP program included patient education and personal follow-up via an automatic voice calling system that employed a series of 4 phone calls over a 27-day period.

RESULTS

Results showed that the TOP enhanced our hospital discharge process and contributed to program outcomes when the patients completed all 4 of the calls, with those patients having 11 times lower odds of having a 30-day readmission.

CONCLUSIONS

The proportion of patients who completed the program reported more use of self-management behaviors compared with those who answered fewer than 4 calls. Our findings related to the lower frequency of self-management behaviors of patients who did not complete all vendor calls stress the important issue of vendor management.

Use of a Bluetooth tablet-based technology to improve outcomes in lung transplantation: A pilot study

The impact of remote patient monitoring platforms to support the postoperative care of solid organ transplant recipients is evolving. In an observational pilot study, 28 lung transplant recipients were enrolled in a novel postdischarge home monitoring program and compared to 28 matched controls during a 2-year period. Primary endpoints included hospital readmissions and total days readmitted. Secondary endpoints were survival and inflation-adjusted hospital readmission charges. In univariate analyses, monitoring was associated with reduced readmissions (incidence rate ratio [IRR]: 0.56; 95% confidence interval [CI]: 0.41-0.76; P < .001), days readmitted (IRR: 0.46; 95% CI: 0.42-0.51; P < .001), and hospital charges (IRR: 0.52; 95% CI: 0.51-0.54; P < .001). Multivariate analyses also showed that remote monitoring was associated with lower incidence of readmission (IRR: 0.38; 95% CI: 0.23-0.63; P < .001), days readmitted (IRR: 0.14; 95% CI: 0.05-0.37; P < .001), and readmission charges (IRR: 0.11; 95% CI: 0.03-0.46; P = .002). There were 2 deaths among monitored patients compared to 6 for controls; however, this difference was not significant. This pilot study in lung transplant recipients suggests that supplementing postdischarge care with remote monitoring may be useful in preventing readmissions, reducing subsequent inpatient days, and controlling hospital charges. A multicenter, randomized control trial should be conducted to validate these findings.

Remote Patient Monitoring Program for Hospital Discharged COVID-19 Patients

OBJECTIVE

We deployed a Remote Patient Monitoring (RPM) program to monitor patients with coronavirus disease 2019 (COVID-19) upon hospital discharge. We describe the patient characteristics, program characteristics, and clinical outcomes of patients in our RPM program.

METHODS

We enrolled COVID-19 patients being discharged home from the hospital. Enrolled patients had an app, and were provided with a pulse oximeter and thermometer. Patients self-reported symptoms, O₂ saturation, and temperature daily. Abnormal symptoms or vital signs were flagged and assessed by a pool of nurses. Descriptive statistics were used to describe patient and program characteristics. A mixed-effects logistic regression model was used to determine the odds of a combined endpoint of emergency department (ED) or hospital readmission.

RESULTS

A total of 295 patients were referred for RPM from five participating hospitals, and 225 patients were enrolled. A majority of enrolled patients (66%) completed the monitoring period without triggering an abnormal alert. Enrollment was associated with a decreased odds of ED or hospital readmission (adjusted odds ratio: 0.54; 95% confidence interval: 0.3-0.97; p = 0.039). Referral without enrollment was not associated with a reduced odds of ED or hospital readmission.

CONCLUSION

RPM for COVID-19 provides a mechanism to monitor patients in their home environment and reduce hospital utilization. Our work suggests that RPM reduces readmissions for patients with COVID-19 and provides scalable remote monitoring capabilities upon hospital discharge. RPM for postdischarge patients with COVID-19 was associated with a decreased risk of readmission to the ED or hospital, and provided a scalable mechanism to monitor patients in their home environment.

Use of a Digital Monitoring Platform to Improve Outcomes in Infants With a Single Ventricle

Background:

Despite advances, infants with single ventricle heart disease continue to have high morbidity and mortality in the first year of life. Home monitoring programs (HMPs) have reduced mortality and have grown to use integrative digital platforms. The objective was to evaluate how implementation of a digital HMP platform affects nutritional outcomes in infants undergoing staged single ventricle palliation.

Methods:

We conducted a retrospective, multicenter, observational study of all infants who required a neonatal operation as part of staged single ventricle palliation between 2013 and 2018. Patients were excluded if less than 35 weeks’ gestation or underwent biventricular repair in the first year of life. Implementation of a digital monitoring platform that allows for secure monitoring of nasogastric feed advancement and oxygen saturation occurred in 2016, creating the two groups in a similar surgical era.

Results:

There were 38 patients who fell under a standard HMP compared to 31 utilizing the digital platform. There was no difference in baseline demographics, anatomy, or preoperative factors between the groups. Use of a digital platform was associated with reduced postoperative length of stay (30.1 vs 33.1 days, P = .04). More children in the digital platform monitoring group were able to achieve oral feeding at one year of age (90% vs 68%, P = .03). A total of 25% of infants went home with a nasogastric tube, all but one transitioning to full oral feeds.

Conclusions:

Use of a digital, fully electronic medical record (EMR)-integrated, comprehensive HMP was associated with shorter postoperative length of stay in neonates undergoing staged single ventricle palliation and allowed for higher rates of full oral feeding.

SiTe iC: A telemonitoring system for heart failure patients

In the last years, multidisciplinary post-discharge treatment programs, such as telemonitoring, have been promoted as a strategy for Heart Failure (HF) management. However, the distinctive requirements that a telemonitoring system should have, have not been clearly identified. To this aim, the most relevant requirements for telemonitoring of HF patients are derived from evidence-based Clinical Practice Guidelines (CPGs) for HF management. The main objective of this work is to present a prototype of a telemonitoring system for HF patients, named SiTe iC, that has been developed based on the identified requirements, highlighting its design and evaluation. A first prototype of the system was designed and programmed. It consists of an mHealth app for HF patients, a website for physicians who monitor patients, and a server which runs an Application Programming Interface to allow communication between the app and the website. The system was thoroughly assessed through a clinical trial that demonstrates that telemonitoring using SiTe iC actually improves patients self-care when compared to usual care and it has the potential to avoid patient re-hospitalizations. This study demonstrated that the identified functional requirements for telemonitoring systems are relevant. In addition, thanks to SiTe iC, HF patients would take a more active role in their disease management by improving self-care.

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.

Heart failure patients with atrial fibrillation benefit from remote patient management: insights from the TIM-HF2 trial

Aims

Atrial fibrillation (AF) is a frequent comorbidity in patients with heart failure (HF). HF patients with AF are characterized by high morbidity and increased risk of hospitalizations. We assessed the effects of remote patient management (RPM) in HF patients with AF compared with usual care (UC) in the TIM‐HF2 trial.

Methods and results

For this post‐hoc analysis, AF status at randomization was assessed in 1537 patients with HF. The primary outcome was the percentage of days lost due to unplanned cardiovascular hospital admissions or death of any cause.

Around 966 patients had sinus rhythm (SR) and 571 had AF. The analysis showed a significant interaction between heart rhythm and all‐cause mortality (P for interaction = 0.001). AF patients had more days lost due to unplanned cardiovascular hospitalization than SR patients (7.53%, CI 6.01–9.05 vs. 4.90%, CI 3.98–5.82, ratio 1.54, P = 0.004) and higher all‐cause mortality (11.9%, CI 9.4–14.9 vs. 8.5%, CI 6.8–10.4, HR 0.66, CI 0.47–0.94, P = 0.029). Patients with AF randomized to RPM had significantly less days lost due to unplanned cardiovascular hospital admissions or all‐cause death (5.64%, CI 3.81–7.48) than patients with AF randomized to UC (9.37%, CI 6.98–11.76, ratio 0.60, P = 0.015). No difference was seen in SR patients (UC: 5.25%, CI 3.93–6.58, RPM: 4.55%, CI 3.27–5.83, ratio 0.87, P = 0.452). All‐cause mortality in AF patients was reduced with 9.2% (CI 6.1–13.2) in the RPM group compared with 14.5% (CI 10.7–18.1) in the UC group (HR 0.60, CI 0.36–1.00, P = 0.050).

Conclusions

For patients with atrial fibrillation at study entry, RPM was associated with increased days alive out of hospital. Our results identify HF patients with atrial fibrillation as a promising target population for RPM.

[Cardiac failure and remote monitoring: a new management approach?]

Heart failure is the leading cause of hospitalization of people aged 60-65 in France, with a rising rate of rehospitalization. This explains the very high healthcare costs in all Western countries and in the United States. Remote monitoring is one of the avenues being studied to reduce this rate of rehospitalisation: it is becoming a reality and should bring about changes in the nursing profession in the years to come.

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

Objective

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

Background

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

Method

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

Results

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

Conclusion

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

Rationale and Design of EMPOWER, a Pragmatic Randomized Trial of Automated Hovering in Patients With Congestive Heart Failure

BACKGROUND

Congestive heart failure is a major cause of morbidity, mortality, and cost. Disease management programs have shown promise but lack firm evidence of effectiveness and scalability. We describe the motivation, design, and planned analyses of EMPOWER (Electronic Monitoring of Patients Offers Ways to Enhance Recovery), a randomized clinical trial of an innovative intervention incorporating behavioral economic principles with remote monitoring technology embedded within a healthcare system.

METHODS AND RESULTS

EMPOWER is an ongoing, pragmatic, randomized clinical trial comparing usual care to an automated hovering intervention that includes patient-level incentives for daily weight monitoring and diuretic adherence combined with automated feedback into the clinical care pathway, enabling real-time response to concerning clinical symptoms. Identification of eligible patients began in May 2016, and implementation of the intervention is feasible. Trial processes are embedded into existing clinical pathways. The primary outcome is time to readmission for any cause. Cost-effectiveness analyses are planned to evaluate the healthcare costs and health outcomes of the approach.

CONCLUSIONS

The EMPOWER trial incorporates leading-edge approaches in human motivation, derived from behavioral economics, with contemporary technology to provide scale and exception handling at low cost. The trial is also implemented within the naturalized environment of a health system, as much as possible taking advantage of the existing journeys of patients and workflows of clinicians. A goal of this pragmatic design is to limit resource utilization and also to test an intervention that would need minimal modification to be translated from research into a new way of practice.

CLINICAL TRIAL REGISTRATION

URL: https://www.clinicaltrials.gov . Unique identifier: NCT02708654.

Clinical Outcomes of Telephone Service for Patients on Warfarin: A Systematic Review and Meta-Analysis

Objective: To evaluate clinical outcomes of telephone-based service for patients on warfarin. Methods: Five bibliographic databases and gray literature were searched for articles that reported the effects of telephone interventions provided to patients using warfarin compared with those receiving usual clinic-based care. Mean difference (MD) and relative risk (RR) were used to calculate the effects of telephone intervention on time in therapeutic range (TTR) and visit in range (VIR), respectively. Adverse events (AEs) were pooled and reported as incidence rate ratios. Results: A total of 1,840 articles were examined. Eight articles involving 8,087 subjects were included in the quantitative synthesis. The pooled estimates from seven studies showed no difference on TTR between the telephone service group and the usual care group (MD 2.30; 95% confidence interval [CI] -3.56 to 8.16). In addition, VIR in the telephone service group was not different from the usual care group (RR 1.22, 95% CI 0.87-1.71). Moreover, patients in telephone service groups appeared to have a lower incidence of AEs compared with usual care groups. Discussion: Telephone-based service could be considered as an alternative anticoagulant management. However, owing to a lack of evidence from well-designed studies, further high-quality randomized control trials are warranted.