Effectiveness of Mobile Phone-Based Interventions for Improving Health Outcomes in Patients with Chronic Heart Failure: A Systematic Review and Meta-Analysis

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.

Home-based versus centre-based cardiac rehabilitation

BACKGROUND

Cardiovascular disease is the most common cause of death globally. Traditionally, centre-based cardiac rehabilitation programmes are offered to individuals after cardiac events to aid recovery and prevent further cardiac illness. Home-based and technology-supported cardiac rehabilitation programmes have been introduced in an attempt to widen access and participation, especially during the SARS-CoV-2 pandemic. This is an update of a review previously published in 2009, 2015, and 2017.

OBJECTIVES

To compare the effect of home-based (which may include digital/telehealth interventions) and supervised centre-based cardiac rehabilitation on mortality and morbidity, exercise-capacity, health-related quality of life, and modifiable cardiac risk factors in patients with heart disease SEARCH METHODS: We updated searches from the previous Cochrane Review by searching the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid) and CINAHL (EBSCO) on 16 September 2022. We also searched two clinical trials registers as well as previous systematic reviews and reference lists of included studies. No language restrictions were applied.

SELECTION CRITERIA

We included randomised controlled trials that compared centre-based cardiac rehabilitation (e.g. hospital, sports/community centre) with home-based programmes (± digital/telehealth platforms) in adults with myocardial infarction, angina, heart failure, or who had undergone revascularisation.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened all identified references for inclusion based on predefined inclusion criteria. Disagreements were resolved through discussion or by involving a third review author. Two authors independently extracted outcome data and study characteristics and assessed risk of bias. Certainty of evidence was assessed using GRADE.

MAIN RESULTS

We included three new trials in this update, bringing a total of 24 trials that have randomised a total of 3046 participants undergoing cardiac rehabilitation. A further nine studies were identified and are awaiting classification. Manual searching of trial registers until 16 September 2022 revealed a further 14 clinical trial registrations - these are ongoing. Participants had a history of acute myocardial infarction, revascularisation, or heart failure. Although there was little evidence of high risk of bias, a number of studies provided insufficient detail to enable assessment of potential risk of bias; in particular, details of generation and concealment of random allocation sequencing and blinding of outcome assessment were poorly reported. No evidence of a difference was seen between home- and centre-based cardiac rehabilitation in our primary outcomes up to 12 months of follow-up: total mortality (risk ratio [RR] = 1.19, 95% confidence interval [CI] 0.65 to 2.16; participants = 1647; studies = 12/comparisons = 14; low-certainty evidence) or exercise capacity (standardised mean difference (SMD) = -0.10, 95% CI -0.24 to 0.04; participants = 2343; studies = 24/comparisons = 28; low-certainty evidence). The majority of evidence (N=71 / 77 comparisons of either total or domain scores) showed no significant difference in health-related quality of life up to 24 months follow-up between home- and centre-based cardiac rehabilitation. Trials were generally of short duration, with only three studies reporting outcomes beyond 12 months (exercise capacity: SMD 0.11, 95% CI -0.01 to 0.23; participants = 1074; studies = 3; moderate-certainty evidence). There was a similar level of trial completion (RR 1.03, 95% CI 0.99 to 1.08; participants = 2638; studies = 22/comparisons = 26; low-certainty evidence) between home-based and centre-based participants. The cost per patient of centre- and home-based programmes was similar.

AUTHORS' CONCLUSIONS

This update supports previous conclusions that home- (± digital/telehealth platforms) and centre-based forms of cardiac rehabilitation formally supported by healthcare staff seem to be similarly effective in improving clinical and health-related quality of life outcomes in patients after myocardial infarction, or revascularisation, or with heart failure. This finding supports the continued expansion of healthcare professional supervised home-based cardiac rehabilitation programmes (± digital/telehealth platforms), especially important in the context of the ongoing global SARS-CoV-2 pandemic that has much limited patients in face-to-face access of hospital and community health services. Where settings are able to provide both supervised centre- and home-based programmes, consideration of the preference of the individual patient would seem appropriate. Although not included in the scope of this review, there is an increasing evidence base supporting the use of hybrid models that combine elements of both centre-based and home-based cardiac rehabilitation delivery. Further data are needed to determine: (1) whether the short-term effects of home/digital-telehealth and centre-based cardiac rehabilitation models of delivery can be confirmed in the longer term; (2) the relative clinical effectiveness and safety of home-based programmes for other heart patients, e.g. post-valve surgery and atrial fibrillation.

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.

Scalability of mobile technology interventions in the prevention and management of HIV among adolescents in low-income and middle-income countries: protocol for a systematic review

INTRODUCTION

The rate of new infections with HIV remains high among adolescents globally. Adolescents in low-income and middle-income countries (LMICs), who are least likely to have access to quality healthcare, have the highest proportion of those living with HIV. Mobile technology has played an important role in providing access to information and services among adolescents in recent years. This review aims to synthesise and summarise information that will be useful in the planning, designing and implementing of future mHealth strategies.

METHODS AND ANALYSIS

Interventional studies, reported in English, on the prevention and management of HIV among adolescents that used mobile technology in LMICs will be included. MEDLINE (via PubMed), Embase, Web of Science, CINAHL, Clinicaltrials.gov, WHO International Clinical Trials Registry Platform (ICTRP), and the Cochrane Library are the information sources that have been identified as relevant to the area of study. These sources will be searched from inception to March 2023. The risk of bias will be assessed using the Cochrane Risk of Bias tool. The scalability of each study will be assessed using the Intervention Scalability Assessment Tool. Two independent reviewers will conduct the selection of studies, data extraction, and assessment of the risk of bias and scalability. A narrative synthesis of all the included studies will be done.

ETHICS AND DISSEMINATION

Ethical approval was not necessary for this study. This is a systematic review of publicly available information and therefore ethical approval was not deemed necessary. The results of this review will be published in a peer reviewed journal.

TRIAL REGISTRATION

This protocol has been registered with the International Prospective Register of Systematic Reviews (PROSPERO), registration number CRD42022362130.

The diversity of providers' and consumers' views of virtual versus inpatient care provision: a qualitative study

BACKGROUND

A broad-based international shift to virtual care models over recent years has accelerated following COVID-19. Although there are increasing numbers of studies and reviews, less is known about clinicians' and consumers' perspectives concerning virtual modes in contrast to inpatient modes of delivery.

METHODS

We conducted a mixed-methods study in late 2021 examining consumers' and providers' expectations of and perspectives on virtual care in the context of a new facility planned for the north-western suburbs of Sydney, Australia. Data were collected via a series of workshops, and a demographic survey. Recorded qualitative text data were analysed thematically, and surveys were analysed using SPSS v22.

RESULTS

Across 12 workshops, 33 consumers and 49 providers from varied backgrounds, ethnicities, language groups, age ranges and professions participated. Four advantages, strengths or benefits of virtual care reported were: patient factors and wellbeing, accessibility, better care and health outcomes, and additional health system benefits, while four disadvantages, weaknesses or risks of virtual care were: patient factors and wellbeing, accessibility, resources and infrastructure, and quality and safety of care.

CONCLUSIONS

Virtual care was widely supported but the model is not suitable for all patients. Health and digital literacy and appropriate patient selection were key success criteria, as was patient choice. Key concerns included technology failures or limitations and that virtual models may be no more efficient than inpatient care models. Considering consumer and provider views and expectations prior to introducing virtual models of care may facilitate greater acceptance and uptake.

The Association Between Cardiovascular Health with Internet and Mobile Technology Use Among Jackson Heart Study Participants

Background: Although studies have examined if the internet and mobile technology (IMT) can support cardiovascular health (CVH) self-management and health information-seeking efforts, limited studies have targeted African American communities. This study analyzes a possible association between CVH and IMT use and if socioeconomic status is linked to this relationship among older, African Americans in the Jackson Heart Study (JHS). Methods: This analysis uses JHS data from three time points: Examination 1 (2000-2004), Examination 3 (2009-2013), and the Digital Connectedness Survey (2017-2019). Participants completed measures of CVH (the American Heart Association's Life Simple 7 [LS7]), IMT use, and demographic characteristics via telephone interview. Both multivariable logistic and linear regression analyses were conducted to analyze the relationship between the LS7 composite and component scores (representing CVH) and IMT use. Results: Fifty eight percent of participants were 60 or older; 64% were women. Overall, 2,255 (88%) of participants were IMT users. Generally, no association was found when analyzing LS7 composite scores and IMT use except for the association between LS7 composite scores and use of other smart devices (p = 0.01). However, having ideal blood pressure, body mass index, and cholesterol had positive associations with using technology to track health (p = 0.003, p = 0.004, p = 0.052, respectively), and having ideal physical activity was positively associated with using smart devices (p = 0.012). Conclusions: No association was found between LS7 composite scores and IMT use. However, there were associations between individual LS7 metrics, IMT use, and IMT use characteristics. More research should be done to continue assessing the feasibility of using IMT for CVH self-management among older African Americans.

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).

Scalability of mobile technology interventions in the prevention and management of HIV among adolescents in low- and middle-income countries: protocol for a systematic review

Introduction

The rate of new infection of HIV is still high among adolescents globally. Adolescents in low and middle-income countries (LMICs) who are least likely to have access to quality healthcare have the highest proportion of those living with HIV. Mobile technology has played an important role in providing access to information and services among adolescents within the region in recent years. This review aims to synthesise and summarise information that will be useful in planning, designing, and implementing future mHealth strategies within the region.

Methods and Analysis

Interventional studies on the prevention and management of HIV among adolescents that used mobile technology in LMICs will be included. MEDLINE (via PubMed), EMBASE, Web of Science, CINAHL, and the Cochrane Library are the information sources that have been identified as relevant to the area of study. These sources will be searched from inception to March 2023. The risk of bias will be assessed using the Cochrane Risk of Bias tool. The scalability of each study will be assessed using the Intervention Scalability Assessment Tool (ISAT). Two independent reviewers will conduct the selection of studies, data extraction, assessment of the risk of bias, and scalability. A narrative synthesis of all the included studies will be provided through a table.

Ethics and dissemination

An ethical approval was not necessary for this study. This is a systematic review of publicly available information and therefore ethical approval was not deemed necessary. The results of this review will be published in a peer reviewed journal and dataset will be presented in the main manuscript.

Strengths and limitations

We believe that the likelihood of missing any published article will be low because of the information sources we are considering.The scalability tool (ISAT) has not been used in any systematic review before.The evidence provided in this review will be limited to low-middle-income countries.The exclusion of studies not published in English is a limitation for this review.

Effect of a Home-Based Mobile Health App Intervention on Physical Activity Levels in Patients With Heart Failure: A Randomized Controlled Trial

BACKGROUND

The use of mobile health applications (apps) is an effective strategy in supporting patients' self-management of heart failure (HF) in home settings, but it remains unclear whether they can be used to reduce sedentary behaviors and increase overall physical activity levels.

AIM

The aims of this study were to determine the effect of an 8-week home-based mobile health app intervention on physical activity levels and to assess its effects on symptom burden and health-related quality of life.

METHOD

In this study, we collected repeated-measures data from 132 participants with HF (60.8 ± 10.47 years) randomized into a usual care group (n = 67) or an 8-week home-based mobile health app intervention group (n = 65). The intervention was tailored to decrease the time spent in sedentary behavior and to increase the time spent in physical activities performed at light or greater intensity levels. Physical activity levels were monitored for 2 weeks before the intervention and during the 8-week intervention using the Samsung mobile health app. Heart failure symptom burden and health-related quality of life were assessed at baseline, 2 weeks from baseline assessment, and immediately post intervention.

RESULTS

At week 8, all participants in the intervention group demonstrated an increase in the average daily step counts above the preintervention counts (range of increase: 2351-7925 steps/d). Only 29 participants (45%) achieved an average daily step count of 10 000 or higher by week 6 and maintained their achievement to week 8 of the intervention. Repeated-measures analysis of variance showed a significant group-by-time interaction, indicating that the intervention group had a greater improvement in physical activity levels, symptom burden, and health-related quality of life than the usual care group.

CONCLUSION

Home-based mobile health app-based interventions can increase physical activity levels and can play an important role in promoting better HF outcomes.

Innovative models of healthcare delivery: an umbrella review of reviews

OBJECTIVE

To undertake a synthesis of evidence-based research for seven innovative models of care to inform the development of new hospitals.

DESIGN

Umbrella review.

SETTING

Interventions delivered inside and outside of acute care settings.

PARTICIPANTS

Children and adults with one or more identified acute or chronic health conditions.

DATA SOURCES

PsycINFO, Ovid MEDLINE and CINAHL.

PRIMARY AND SECONDARY OUTCOME MEASURES

Clinical indicators and mortality, healthcare utilisation, quality of life, self-management and self-care and patient knowledge.

RESULTS

A total of 66 reviews were included, synthesising evidence from 1272 primary studies across the 7 models of care. Virtual care was the most common model studied, addressed by 47 (73%) of the reviews. Common outcomes evaluated across reviews were clinical indicators and mortality, healthcare utilisation, self-care and self-management, patient knowledge, quality of life and cost-effectiveness. The findings indicate that the innovative models of healthcare we identified in this review may be effective in managing patients with a range of acute and chronic conditions. Most of the included reviews reported evidence of comparable or improved care.

CONCLUSIONS

A consideration of local infrastructure and individual patient characteristics, such as health literacy, may be critical in determining the suitability of models of care for patients and their implementation in local health systems.

TRIAL REGISTRATION NUMBER

10.17605/OSF.IO/PS6ZU.

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.

Heart Failure-Smart Life: a randomized controlled trial of a mobile app for self-management in patients with heart failure

BACKGROUND

It is an important strategy for healthcare providers to support heart failure patients with comprehensive aspects of self-management. A practical alternative to a comprehensive and user-friendly self-management program for heart failure patients is needed. This study aimed to develop a mobile self-management app program for patients with heart failure and to identify the impact of the program.

METHODS

We developed a mobile app, called Heart Failure-Smart Life. The app was to provide educational materials using a daily health check-up diary, Q & A, and 1:1 chat, considering individual users' convenience. An experimental study was employed using a randomized controlled trial to evaluate the effects of the program in patients with heart failure from July 2018 to June 2019. The experimental group (n = 36) participated in using the mobile app that provided feedback on their self-management and allowed monitoring of their daily health status by cardiac nurses for 3 months, and the control group (n = 38) continued to undergo their usual care. The differences in the physical, psychosocial, and behavioral factors between the two groups over time were analyzed using the analysis of covariance.

RESULTS

After 3 months of intervention, significant differences between experimental and control groups were shown in the New York Heart Association functional class (p = 0.003) and cardiac diastolic function (p = 0.024). The improvements over time in the experimental group tended to be higher than those in the control group in considered variables. However, no changes in psychosocial and behavioral variables were observed between the groups over time.

CONCLUSIONS

This study provides evidence that the mobile app program may provide benefits to its users, specifically improvements of symptom and cardiac diastolic function in patients with heart failure. Healthcare providers can effectively and practically guide and support patients with heart failure using comprehensive and convenient self-management tools such as smartphone apps.

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.

Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review

Background

Despite the potential of mobile health (mHealth) interventions to facilitate the early detection of signs of heart failure (HF) decompensation and provide personalized management of symptoms, the outcomes of such interventions in patients with HF have been inconsistent. As engagement with mHealth is required for interventions to be effective, poor patient engagement with mHealth interventions may be associated with mixed evidence. It is crucial to understand how engagement with mHealth interventions is measured in patients with HF, and the effects of engagement on HF outcomes.

Objective

In this review, we aimed to describe measures of patient engagement with mHealth interventions and the effects of engagement on HF outcomes.

Methods

We conducted a systematic literature search in 7 databases for relevant studies published in the English language from 2009 to September 2021 and reported the descriptive characteristics of the studies. We used content analysis to identify themes that described patient engagement with mHealth interventions in the qualitative studies included in the review.

Results

We synthesized 32 studies that operationalized engagement with mHealth interventions in 4771 patients with HF (3239/4771, 67.88%, male), ranging from a sample of 7 to 1571 (median 53.3) patients, followed for a median duration of 90 (IQR 45-180) days. Patient engagement with mHealth interventions was measured only quantitatively based on system usage data in 72% (23/32) of the studies, only qualitatively based on data from semistructured interviews and focus groups in 6% (2/32) of studies, and by a combination of both quantitative and qualitative data in 22% (7/32) of studies. System usage data were evaluated using 6 metrics of engagement: number of physiological parameters transmitted (19/30, 63% studies), number of HF questionnaires completed (2/30, 7% studies), number of log-ins (4/30, 13% studies), number of SMS text message responses (1/30, 3% studies), time spent (5/30, 17% studies), and the number of features accessed and screen viewed (4/30, 13% studies). There was a lack of consistency in how the system usage metrics were reported across studies. In total, 80% of the studies reported only descriptive characteristics of system usage data. The emotional, cognitive, and behavioral domains of patient engagement were identified through qualitative studies. Patient engagement levels ranged from 45% to 100% and decreased over time. The effects of engagement on HF knowledge, self-care, exercise adherence, and HF hospitalization were inconclusive.

Conclusions

The measures of patient engagement with mHealth interventions in patients with HF are underreported and lack consistency. The application of inferential analytical methods to engagement data is extremely limited. There is a need for a working group on mHealth that may consolidate the previous operational definitions of patient engagement into an optimal and standardized measure.

Effects of telehealth-assisted interventions for secondary prevention of cardiovascular disease: A systematic review and meta-analysis

BACKGROUND

Telehealth-assisted interventions have been used as secondary prevention measures in cardiac rehabilitation, especially for the delivery of information between healthcare service providers and patients. However, as the application of this intervention modality broadens, investigation of its effects in secondary prevention of cardiovascular disease (CVD) is necessary.

AIMS

To identify the effectiveness of telehealth-assisted interventions for secondary prevention of CVD.

DESIGN

Systematic review and meta-analysis.

METHODS

The PRISMA protocol was used to conduct a systematic review and meta-analysis of randomised controlled trials. The full text of articles was obtained from six databases for the period from database establishment to 25 November 2021. To assess the methodological quality of the studies reviewed, the updated Cochrane risk-of-bias checklist for randomised trials was employed. A meta-analysis was performed using a random-effects model to calculate the pooled effects of telehealth-assisted interventions for secondary CVD prevention.

RESULTS

The final analysis included 4012 individuals from 18 different trials. Telehealth-assisted interventions were shown to improve medication adherence (standardised mean difference [SMD]: 0.31; 95% confidence interval [CI]: 0.33-0.59) and reduce depression (SMD: -0.28; 95% CI: -0.46 to -0.10).

CONCLUSIONS

Telehealth-assisted interventions appear to improve adherence to medication and reduce depression of individuals with CVD. These intervention strategies could be offered to both healthcare providers and individuals with CVD as an option in delivering and facilitating the use of health services to improve health behaviours and overall outcomes. Furthermore, this study may be used as guidance for future research to provide an appropriate plan of care for this population.

RELEVANCE TO CLINICAL PRACTICE

The findings imply that the delivery of care remotely via telehealth-assisted interventions for secondary prevention of CVD is beneficial in improving CVD survivors' health and access to healthcare services.

TRIAL REGISTRATION

The International Prospective Register of Systematic Review: (PROSPERO): CRD 42021290111.

Voice activated remote monitoring technology for heart failure patients: Study design, feasibility and observations from a pilot randomized control trial

BACKGROUND

Heart failure (HF) is a serious health condition, associated with high health care costs, and poor outcomes. Patient empowerment and self-care are a key component of successful HF management. The emergence of telehealth may enable providers to remotely monitor patients' statuses, support adherence to medical guidelines, improve patient wellbeing, and promote daily awareness of overall patients' health.

OBJECTIVE

To assess the feasibility of a voice activated technology for monitoring of HF patients, and its impact on HF clinical outcomes and health care utilization.

METHODS

We conducted a randomized clinical trial; ambulatory HF patients were randomized to voice activated technology or standard of care (SOC) for 90 days. The system developed for this study monitored patient symptoms using a daily survey and alerted healthcare providers of pre-determined reported symptoms of worsening HF. We used summary statistics and descriptive visualizations to study the alerts generated by the technology and to healthcare utilization outcomes.

RESULTS

The average age of patients was 54 years, the majority were Black and 45% were women. Almost all participants had an annual income below $50,000. Baseline characteristics were not statistically significantly different between the two arms. The technical infrastructure was successfully set up and two thirds of the invited study participants interacted with the technology. Patients reported favorable perception and high comfort level with the use of voice activated technology. The responses from the participants varied widely and higher perceived symptom burden was not associated with hospitalization on qualitative assessment of the data visualization plot. Among patients randomized to the voice activated technology arm, there was one HF emergency department (ED) visit and 2 HF hospitalizations; there were no events in the SOC arm.

CONCLUSIONS

This study demonstrates the feasibility of remote symptom monitoring of HF patients using voice activated technology. The varying HF severity and the wide range of patient responses to the technology indicate that personalized technological approaches are needed to capture the full benefit of the technology. The differences in health care utilization between the two arms call for further study into the impact of remote monitoring on health care utilization and patients' wellbeing.

Effectiveness and usability of mobile health applications for medication adherence in patients with heart failure: a systematic review protocol

OBJECTIVE

This review will assess the effectiveness and usability of mobile health applications to improve medication adherence in patients with heart failure.

INTRODUCTION

Poor medication adherence by heart failure patients is a major cause of negative clinical outcomes, high rates of hospital readmissions, and death, thereby increasing costs for patients and the health care system. Several studies have shown that the use of mobile health applications improves self-care by heart failure patients, including medication adherence. Therefore, gathering evidence on these studies will help researchers and clinicians understand the impact of such interventions on patient care.

INCLUSION CRITERIA

Eligible studies will evaluate medication adherence in participants aged ≥18 years diagnosed with heart failure who are using app-based (software) interventions. Experimental and observational studies will be included. We will exclude studies with interventions that used mobile applications without functionality to assist the user in organizing and taking their medications.

METHODS

Articles published from database inception to the present day, without language restrictions, will be selected from Embase, MEDLINE, LILACS, Scopus, Web of Science, CINAHL, and the Cochrane Library. Two independent reviewers will screen articles, assess methodological quality, and extract data using JBI assessment and extraction instruments. Discrepancies will be solved by consensus and a third reviewer will be consulted if necessary. A narrative synthesis of findings will be presented, and statistical analysis will be used when appropriate.

SYSTEMATIC REVIEW REGISTRATION NUMBER

PROSPERO CRD42020147816.

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.

Disease management with home telemonitoring aimed at substitution of usual care in the Netherlands: Post-hoc analyses of the e-Vita HF study

BACKGROUND

Home telemonitoring in heart failure (HF) patients may reduce workload of HF nurses by reducing face-to-face contacts. The aim of this study is to assess whether telemonitoring as a substitution could have negative effects as expressed by less reduction in circulating natriuretic peptide levels between baseline and one-year of follow up compared to usual care.

METHODS

A post-hoc analysis of the e-Vita HF trial, a three-arm parallel randomized trial conducted in stable HF patients. Patients were randomized into three arms: (i) usual HF outpatient care, (ii) usual care combined with the use of the website heartfailurematters.org, and (iii) telemonitoring (e-Vita HF platform) instead of face-to-face consultations. Mixed linear model analyses were applied to assess differences in the N-terminal prohormone of brain natriuretic peptide (NT-proBNP) levels between the three arms over a year.

RESULTS

A total of 223 participants could be included (mean age 67.1 ± 10.1 years, 27% women, New York Heart Association class I-IV; 39%, 38%, 14%, and 9%). The mean left ventricular ejection fraction was 35 ± 10%. The median of routine face-to-face contacts over a year was 1.0 lower (2.0 vs. 3.0) in the third arm compared with usual care. Median NT-proBNP levels did not significantly differ between the three arms.

CONCLUSION

In stable and optimally treated HF patients, telemonitoring causing a reduction of routine face-to-face contacts seems not to negatively affect hemodynamic status as measured by NT-proBNP levels over time.

Compliance with Telemonitoring in Heart Failure. Are Study Findings Representative of Reality?: A Narrative Literature Review

Introduction: Telemonitoring technologies enable medical teams to remotely manage outpatients with heart failure (HF) and reduce their risk of HF-related hospitalizations. However, noncompliance threatens the effectiveness of these approaches. This review aims to identify whether patients who are less likely or unable to comply with telemonitoring and their instructions for use are represented by interventional telemonitoring studies, and if their exclusion from studies is resulting in study findings not representative of clinical reality. Methods: A narrative literature review was conducted to identify interventional telemonitoring studies reporting compliance rates for HF patients. A search of PubMed and Medline databases identified eligible studies published between January 2000 and June 2021. Results: Twenty-five (n = 25) eligible studies with an interventional study design were identified. Reported compliance with telemonitoring ranged between 37% and 98.5%; however, 72% of studies reported good or medium compliance. A majority (76%) of studies had exclusion/inclusion criteria favoring the enrollment of patients who may be more likely to comply with telemonitoring and their instructions for use. Forty percent of studies had a sample with a mean or median age of <65 years. Participants were more likely to be male (majority in 92% of studies) and white (majority in 78% of studies that reported ethnicity). Conclusion: Compliance rates reported by current studies are unlikely to be generalizable to the wider HF population, particularly patients who are less likely or unable to comply with telemonitoring. Studies are therefore likely overestimating compliance rates. Future innovation should focus on designing "low compliance" solutions that require minimal engagement from users and future studies should aim to recruit a more generalizable cohort of patients. To achieve a more standardized metric of compliance, studies should report compliance (however defined) achieved by the 25th, 50th, and 75th percentile of all patients enrolled.

Telehealth Interventions to Support Self-Management in Stroke Survivors: A Systematic Review

Telehealth (TH) intervention is a method to optimize self-management (SM) support in stroke survivors. Objectives of this study included identifying the TH-SM intervention's focus and SM support components, the TH delivery type, and the TH-SM support effects on stroke survivors. Five databases were searched for the years 2005-2020 to identify TH-SM support interventions for stroke survivors. Randomized controlled trials and quasi-experimental, one-group re-post study designs were included. Ten studies were reviewed. TH-SM support focused on post-stroke depression, obesity management, participation, functional mobility, and activities of daily living. The TH delivery type most used in selected studies was messaging. Regarding the SM support components, the education component was used in all studies, and psychological support and lifestyle advice and support were used in 8 out of 10 studies. TH-SM intervention had positive effects in terms of goal achievement for SM behavior, emotional state, and mobility of clinical outcomes, and TH acceptance in stroke survivors. Although the TH-SM-supported intervention effects were not found consistently in all outcomes, this review discovered a positive effect on various SM-related outcomes. In addition, TH delivery types and SM support components showed the possibility of various options to be considered for intervention. Therefore, we suggest that TH-SM supported intervention is a positive alternative for SM support in stroke survivors.

The effectiveness of technology-based interventions for smoking cessation: An umbrella review and quality assessment of systematic reviews

ISSUES

With the advancement and rapid increase in the public's interest in utilisation of Internet and mobile phones, technology-based interventions are being implemented across a range of health conditions to improve patient outcomes. The aim of this review was to summarise findings from systematic reviews that evaluated the effectiveness of technology-based smoking cessation interventions and to critically appraise their methodological qualities.

APPROACH

An umbrella review was conducted using studies identified from a comprehensive literature search of six databases and grey literature. All included systematic reviews were checked for eligibility criteria and quality using the Assessment of Multiple Systematic Reviews tool. The level of evidence for each intervention category was assessed, citation matrices were generated and corrected covered area was calculated.

KEY FINDINGS

Five systematic reviews with a total of 212 randomised controlled trials and 237 760 participants were included. Fourteen intervention approaches were identified and classified into three categories: stand-alone web-based; stand-alone mobile phone-based and multicomponent interventions. Incorporating web and/or mobile-based interventions with face-to-face approach improved the rate of smoking cessation. However, there was no consistent evidence regarding the effectiveness of stand-alone Internet or mobile-based interventions.

IMPLICATIONS

Policymakers are recommended to develop strategies that enable health professionals to integrate these approaches with face-to-face smoking cessation support. Health professionals are recommended to be trained and equipped for online and mobile-based interventions.

CONCLUSION

Adding technology-based intervention to face-to-face smoking cessation support improves smoking cessation. Further research is needed to evaluate stand-alone web-based and mobile phone-based interventions.

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.

Harnessing technological solutions for childhood obesity prevention and treatment: a systematic review and meta-analysis of current applications

BACKGROUND

Technology holds promise for delivery of accessible, individualized, and destigmatized obesity prevention and treatment to youth.

OBJECTIVES

This review examined the efficacy of recent technology-based interventions on weight outcomes.

METHODS

Seven databases were searched in April 2020 following PRISMA guidelines. Inclusion criteria were: participants aged 1-18 y, use of technology in a prevention/treatment intervention for overweight/obesity; weight outcome; randomized controlled trial (RCT); and published after January 2014. Random effects models with inverse variance weighting estimated pooled mean effect sizes separately for treatment and prevention interventions. Meta-regressions examined the effect of technology type (telemedicine or technology-based), technology purpose (stand-alone or adjunct), comparator (active or no-contact control), delivery (to parent, child, or both), study type (pilot or not), child age, and intervention duration.

FINDINGS

In total, 3406 records were screened for inclusion; 55 studies representing 54 unique RCTs met inclusion criteria. Most (89%) included articles were of high or moderate quality. Thirty studies relied mostly or solely on technology for intervention delivery. Meta-analyses of the 20 prevention RCTs did not show a significant effect of prevention interventions on weight outcomes (d = 0.05, p = 0.52). The pooled mean effect size of n = 32 treatment RCTs showed a small, significant effect on weight outcomes (d = ‒0.13, p = 0.001), although 27 of 33 treatment studies (79%) did not find significant differences between treatment and comparators. There were significantly greater treatment effects on outcomes for pilot interventions, interventions delivered to the child compared to parent-delivered interventions, and as child age increased and intervention duration decreased. No other subgroup analyses were significant.

CONCLUSIONS

Recent technology-based interventions for the treatment of pediatric obesity show small effects on weight; however, evidence is inconclusive on the efficacy of technology based prevention interventions. Research is needed to determine the comparative effectiveness of technology-based interventions to gold-standard interventions and elucidate the potential for mHealth/eHealth to increase scalability and reduce costs while maximizing impact.