Evaluation of a telemedicine service for the secondary prevention of coronary artery disease

A systematic review of the impacts of remote patient monitoring (RPM) interventions on safety, adherence, quality-of-life and cost-related outcomes

Due to rapid technological advancements, remote patient monitoring (RPM) technology has gained traction in recent years. While the effects of specific RPM interventions are known, few published reviews examine RPM in the context of care transitions from an inpatient hospital setting to a home environment. In this systematic review, we addressed this gap by examining the impacts of RPM interventions on patient safety, adherence, clinical and quality of life outcomes and cost-related outcomes during care transition from inpatient care to a home setting. We searched five academic databases (PubMed, CINAHL, PsycINFO, Embase and SCOPUS), screened 2606 articles, and included 29 studies from 16 countries. These studies examined seven types of RPM interventions (communication tools, computer-based systems, smartphone applications, web portals, augmented clinical devices with monitoring capabilities, wearables and standard clinical tools for intermittent monitoring). RPM interventions demonstrated positive outcomes in patient safety and adherence. RPM interventions also improved patients' mobility and functional statuses, but the impact on other clinical and quality-of-life measures, such as physical and mental health symptoms, remains inconclusive. In terms of cost-related outcomes, there was a clear downward trend in the risks of hospital admission/readmission, length of stay, number of outpatient visits and non-hospitalisation costs. Future research should explore whether incorporating intervention components with a strong human element alongside the deployment of technology enhances the effectiveness of RPM. The review highlights the need for more economic evaluations and implementation studies that shed light on the facilitators and barriers to adopting RPM interventions in different care settings.

Effectiveness of digital health interventions for telemedicine/telehealth for managing blood pressure in adults: a systematic review and meta-analysis

This systematic review and meta-analysis included randomized controlled trials or observational studies that compare digital health interventions (DHIs) for telemedicine/telehealth versus usual care for managing blood pressure (BP) in adults. We searched PubMed, Cochrane CENTRAL, and IchuShi-Web, and used a random-effects meta-analysis of the weighted mean difference (MD) between the comparison groups to pool data from the included studies. The outcome included the pooled MD of office BP from baseline to each follow-up period. This meta-analysis considered 117 studies with 68677 participants as eligible. The 3-month intervention period reduced office systolic BP (SBP) compared with usual care in 38 studies (MD: -3.21 mmHg [95% confidence interval: -4.51 to -1.90]), with evidence of heterogeneity. Office SBP across intervention periods demonstrated comparable effects (3-, 6- [54 studies], 12- [43 studies], and >12-month periods [9 studies]). The benefits for office diastolic BP were similar to those for office SBP. Additionally, the interventions significantly reduced the office SBP compared with the control, regardless of the mode of intervention delivery (smartphone apps [38 studies], text messages [35 studies], and websites [34 studies]) or type of facility (medical [74 studies] vs. non-medical [33 studies]). The interventions were more effective in 41 hypertension cohorts compared with 66 non-hypertension cohorts (-4.81 mmHg [-6.33, -3.29] vs. -2.17 mmHg [-3.15, -1.19], P = 0.006 for heterogeneity). In conclusion, DHIs for telemedicine/telehealth improved BP management compared with usual care. The effectiveness with heterogeneity should be considered, as prudent for implementing evidence-based medicine. This meta-analysis considered 117 studies with 68677 participants eligible. The DHIs for telemedicine/telehealth reduced office BP compared with usual care, regardless of intervention duration, intervention delivery mode, facility type, and cohort type. Additionally, the DHIs reduced the risk of uncontrolled BP compared with usual care, regardless of intervention duration, intervention delivery mode, and facility type. BP blood pressure, DHI digital health intervention, MD mean difference, RR risk ratio, SBP systolic blood pressure.

Mobile Health Interventions: A Frontier for Mitigating the Global Burden of Cardiovascular Disease

Mobile health (mHealth) interventions have emerged as a promising approach for cardiovascular disease (CVD) prevention and management. The proliferation of smartphones and wearable devices enables convenient access to health monitoring tools, educational resources, and communication with healthcare providers. mHealth interventions encompass mobile apps, wearables, and telehealth services that empower users to monitor vital signs, adhere to medication, and adopt healthier lifestyles. Their effectiveness hinges on user engagement, leveraging behavioral science principles and gamification strategies. While mHealth offers advantages such as personalized support and increased reach, it faces challenges pertaining to data privacy, security concerns, and resistance from healthcare providers. Robust encryption and adherence to regulations like the Health Insurance Portability and Accountability Act (HIPAA) are crucial for safeguarding sensitive health data. Integrating mHealth into clinical workflows can enhance healthcare delivery, but organizational adjustments are necessary. The future of mHealth is closely intertwined with artificial intelligence (AI), enabling remote monitoring, predictive algorithms, and data-driven insights. Tech giants are incorporating advanced health-tracking capabilities into their devices, paving the way for personalized wellness approaches. However, mHealth grapples with ethical dilemmas surrounding data ownership, privacy breaches, and inadvertent data capture. Despite its potential, mHealth necessitates a concerted effort to overcome obstacles and ensure ethical, secure, and practical implementation. Addressing technical challenges, fostering standardization, and promoting equitable access are pivotal for unlocking the transformative impact of mHealth on cardiovascular health and reducing the global burden of CVD.

Psychological interventions for depression and anxiety in patients with coronary heart disease, heart failure or atrial fibrillation

BACKGROUND

Depression and anxiety occur frequently (with reported prevalence rates of around 40%) in individuals with coronary heart disease (CHD), heart failure (HF) or atrial fibrillation (AF) and are associated with a poor prognosis, such as decreased health-related quality of life (HRQoL), and increased morbidity and mortality. Psychological interventions are developed and delivered by psychologists or specifically trained healthcare workers and commonly include cognitive behavioural therapies and mindfulness-based stress reduction. They have been shown to reduce depression and anxiety in the general population, though the exact mechanism of action is not well understood. Further, their effects on psychological and clinical outcomes in patients with CHD, HF or AF are unclear.

OBJECTIVES

To assess the effects of psychological interventions (alone, or with cardiac rehabilitation or pharmacotherapy, or both) in adults who have a diagnosis of CHD, HF or AF, compared to no psychological intervention, on psychological and clinical outcomes.

SEARCH METHODS

We searched the CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL databases from 2009 to July 2022. We also searched three clinical trials registers in September 2020, and checked the reference lists of included studies. No language restrictions were applied.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) comparing psychological interventions with no psychological intervention for a minimum of six months follow-up in adults aged over 18 years with a clinical diagnosis of CHD, HF or AF, with or without depression or anxiety. Studies had to report on either depression or anxiety or both.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods. Our primary outcomes were depression and anxiety, and our secondary outcomes of interest were HRQoL mental and physical components, all-cause mortality and major adverse cardiovascular events (MACE). We used GRADE to assess the certainty of evidence for each outcome.

MAIN RESULTS

Twenty-one studies (2591 participants) met our inclusion criteria. Sixteen studies included people with CHD, five with HF and none with AF. Study sample sizes ranged from 29 to 430. Twenty and 17 studies reported the primary outcomes of depression and anxiety, respectively. Despite the high heterogeneity and variation, we decided to pool the studies using a random-effects model, recognising that the model does not eliminate heterogeneity and findings should be interpreted cautiously. We found that psychological interventions probably have a moderate effect on reducing depression (standardised mean difference (SMD) -0.36, 95% confidence interval (CI) -0.65 to -0.06; 20 studies, 2531 participants; moderate-certainty evidence) and anxiety (SMD -0.57, 95% CI -0.96 to -0.18; 17 studies, 2235 participants; moderate-certainty evidence), compared to no psychological intervention. Psychological interventions may have little to no effect on HRQoL physical component summary scores (PCS) (SMD 0.48, 95% CI -0.02 to 0.98; 12 studies, 1454 participants; low-certainty evidence), but may have a moderate effect on improving HRQoL mental component summary scores (MCS) (SMD 0.63, 95% CI 0.01 to 1.26; 12 studies, 1454 participants; low-certainty evidence), compared to no psychological intervention. Psychological interventions probably have little to no effect on all-cause mortality (risk ratio (RR) 0.81, 95% CI 0.39 to 1.69; 3 studies, 615 participants; moderate-certainty evidence) and may have little to no effect on MACE (RR 1.22, 95% CI 0.77 to 1.92; 4 studies, 450 participants; low-certainty evidence), compared to no psychological intervention.

AUTHORS' CONCLUSIONS

Current evidence suggests that psychological interventions for depression and anxiety probably result in a moderate reduction in depression and anxiety and may result in a moderate improvement in HRQoL MCS, compared to no intervention. However, they may have little to no effect on HRQoL PCS and MACE, and probably do not reduce mortality (all-cause) in adults who have a diagnosis of CHD or HF, compared with no psychological intervention. There was moderate to substantial heterogeneity identified across studies. Thus, evidence of treatment effects on these outcomes warrants careful interpretation. As there were no studies of psychological interventions for patients with AF included in our review, this is a gap that needs to be addressed in future studies, particularly in view of the rapid growth of research on management of AF. Studies investigating cost-effectiveness, return to work and cardiovascular morbidity (revascularisation) are also needed to better understand the benefits of psychological interventions in populations with heart disease.

Effectiveness of mobile health applications on clinical outcomes and health behaviors in patients with coronary heart disease: A systematic review and meta-analysis

Objective

Mobile health applications (apps) have gained significant popularity and widespread utilization among patients with coronary heart disease (CHD). The objective of this study is to evaluate the effects of mHealth apps on clinical outcomes and health behaviors in patients with CHD.

Methods

Databases were searched from inception until December 2023, including Cochrane Library, PubMed, EMBASE, Web of Science, CINAHL, China National Knowledge Infrastructure (CNKI), Chinese BioMedical Literature Service System (SinoMed), Wanfang Data, China Science and Technology Journal Database (VIP), for randomized controlled trials (RCTs) regarding the effectiveness of mHealth apps in patients with CHD. Two researchers conducted a comprehensive review of the literature, extracting relevant data and evaluating each study's methodological quality separately. The meta-analysis was performed utilizing Review Manager v5.4 software.

Results

A total of 34 RCTs were included, with 5,319 participants. The findings demonstrated that using mHealth apps could decrease the incidence of major adverse cardiac events (RR = 0.68, P = 0.03), readmission rate (RR = 0.56, P < 0.001), total cholesterol (WMD = -0.19, P = 0.03), total triglycerides (WMD = -0.24, P < 0.001), waist circumference (WMD = -1.92, P = 0.01), Self-Rating Anxiety Scale score (WMD = -6.70, P < 0.001), and Self-Rating Depression Scale score (WMD = -7.87, P < 0.001). They can also increase the LVEF (WMD = 6.50, P < 0.001), VO2 max (WMD = 1.89, P < 0.001), 6-min walk distance (6MWD) (WMD = 19.43, P = 0.004), Morisky Medication Adherence Scale-8 score (WMD = 0.96, P = 0.004), and medication adherence rate (RR = 1.24, P = 0.03). Nevertheless, there is no proof that mHealth apps can lower low-density lipoprote in cholesterol, blood pressure, BMI, or other indicator (P > 0.05).

Conclusion

Mobile health apps have the potential to lower the incidence of major adverse cardiac events (MACEs), readmission rates, and blood lipids in patients with CHD. They can also help enhance cardiac function, promote medication adherence, and alleviate symptoms of anxiety and depression. To further corroborate these results, larger-scale, multi-center RCTs with longer follow-up periods are needed.

Telemedicine with special focus on allergic diseases and asthma-Status 2022: An EAACI position paper

Efficacious, effective and efficient communication between healthcare professionals (HCP) and patients is essential to achieve a successful therapeutic alliance. Telemedicine (TM) has been used for decades but during the COVID-19 pandemic its use has become widespread. This position paper aims to describe the terminology and most important forms of TM among HCP and patients and review the existing studies on the uses of TM for asthma and allergy. Besides, the advantages and risks of TM are discussed, concluding that TM application reduces costs and time for both, HCP and patients, but cannot completely replace face-to-face visits for physical examinations and certain tests that are critical in asthma and allergy. From an ethical point of view, it is important to identify those involved in the TM process, ensure confidentiality and use communication channels that fully guarantee the security of the information. Unmet needs and directions for the future regarding implementation, data protection, privacy regulations, methodology and efficacy are described.

Telehealth uptake among middle-aged and older Americans during COVID-19: chronic conditions, social media communication, and race/ethnicity

OBJECTIVES

This study investigated whether and to what extent constructs of the protection motivation theory of health (PMT)-threat appraisal (perceived vulnerability/severity) and coping appraisal (response efficacy and self-efficacy)-are related to telehealth engagement during the COVID-19 pandemic, and how these associations differ by race/ethnicity among middle-aged and older Americans.

METHODS

Data were from the 2020 Health and Retirement Study. Multivariable ordinary least-squares regression analyses were computed adjusting for health and sociodemographic factors.

RESULTS

Some PMT constructs are useful in understanding telehealth uptake. Perceived vulnerability/severity, particularly comorbidity (b = 0.13, 95% confidence interval (CI) [0.11, 0.15], p < 0.001), and response efficacy, particularly participation in communication via social media (b = 0.24, 95% CI [0.21, 0.27], p < 0.001), were significantly and positively associated with higher telehealth uptake during the COVID-19 pandemic among middle-aged and older Americans. Non-Hispanic Black adults were more likely to engage in telehealth during the pandemic than their non-Hispanic White counterparts (b = 0.20, 95% CI [0.12, 0.28], p < 0.001). Multiple moderation analyses revealed the significant association between comorbidity and telehealth uptake was similar across racial/ethnic groups, whereas the significant association between social media communication and telehealth uptake varied by race/ethnicity. Specifically, the association was significantly less pronounced for Hispanic adults (b = -0.11, 95% CI [-0.19, -0.04], p < 0.01) and non-Hispanic Asian/other races adults (b = -0.13, 95% CI [-0.26, -0.01], p < 0.05) than it was for their non-Hispanic White counterparts.

CONCLUSION

Results suggest the potential of using social media and telehealth to narrow health disparities, particularly serving as a bridge for members of underserved communities to telehealth uptake.

Optimising the implementation of digital-supported interventions for the secondary prevention of heart disease: a systematic review using the RE-AIM planning and evaluation framework

BACKGROUND

mHealth technologies are now widely utilised to support the delivery of secondary prevention programs in heart disease. Interventions with mHealth included have shown a similar efficacy and safety to conventional programs with improvements in access and adherence. However, questions remain regarding the successful wider implementation of digital-supported programs. By applying the Reach-Effectiveness-Adoption-Implementation-Maintenance (RE-AIM) framework to a systematic review and meta-analysis, this review aims to evaluate the extent to which these programs report on RE-AIM dimensions and associated indicators.

METHODS

This review extends our previous systematic review and meta-analysis that investigated the effectiveness of digital-supported programs for patients with coronary artery disease. Citation searches were performed on the 27 studies of the systematic review to identify linked publications that reported data for RE-AIM dimensions. All included studies and, where relevant, any additional publications, were coded using an adapted RE-AIM extraction tool. Discrepant codes were discussed amongst reviewers to gain consensus. Data were analysed to assess reporting on indicators related to each of the RE-AIM dimensions, and average overall reporting rates for each dimension were calculated.

RESULTS

Searches found an additional nine publications. Across 36 publications that were linked to the 27 studies, 24 (89%) of the studies were interventions solely delivered at home. The average reporting rates for RE-AIM dimensions were highest for effectiveness (75%) and reach (67%), followed by adoption (54%), implementation (36%) and maintenance (11%). Eleven (46%) studies did not describe relevant characteristics of their participants or of staff involved in the intervention; most studies did not describe unanticipated consequences of the intervention; the ongoing cost of intervention implementation and maintenance; information on intervention fidelity; long-term follow-up outcomes, or program adaptation in other settings.

CONCLUSIONS

Through the application of the RE-AIM framework to a systematic review we found most studies failed to report on key indicators. Failing to report these indicators inhibits the ability to address the enablers and barriers required to achieve optimal intervention implementation in wider settings and populations. Future studies should consider alternative hybrid trial designs to enable reporting of implementation indicators to improve the translation of research evidence into routine practice, with special consideration given to the long-term sustainability of program effects as well as corresponding ongoing costs.

REGISTRATION

PROSPERO-CRD42022343030.

Long-term effects of e-Health secondary prevention on cardiovascular health: a systematic review and meta-analysis

AIMS

Despite the well-documented short-to-medium-term effectiveness of e-Health (electronic health) secondary prevention interventions on patients with cardiovascular disease (CVD), there is limited empirical evidence regarding long-term effectiveness. This review aims to evaluate the long-term effects of e-Health secondary prevention interventions on the health outcomes of patients with CVD.

METHODS AND RESULTS

This systematic review and meta-analysis followed Cochrane Handbook for Systematic Reviews of Interventions. EMBASE, Medline, Web of Science, and Scopus were searched from 1990 to May 2022. Randomized controlled trials investigating the effects of e-Health secondary prevention on health outcomes of CVD patients that collected endpoint data at ≥ 12 months were included. RevMan 5.3 was used for risk of bias assessment and meta-analysis. Ten trials with 1559 participants were included. Data pooling suggested that e-Health programmes have significantly reduced LDL cholesterol [n = 6; SMD = -0.26, 95% confidence interval (CI): (-0.38, -0.14), I2 = 17%, P < 0.001]; systolic blood pressure [n = 5; SMD = -0.46, 95% CI: (-0.84, -0.08), I2 = 90%, P = 0.02]; and re-hospitalization, reoccurrence, and mortality [risk ratio = 0.36, 95% CI: (0.17, 0.77), I2 = 0%, P = 0.009]. Effects on behavioural modification, physiological outcomes of body weight and blood glucose, and quality of life were inconclusive.

CONCLUSION

e-Health secondary prevention is effective in improving long-term management of risk factors and reducing the reoccurrence of cardiac events in patients with CVD. Results are inconclusive for behaviour modification and quality of life. Exploring, implementing, and strengthening strategies in e-Health secondary prevention programmes that focus on maintaining behaviour changes and enhancing psychosocial elements should be undertaken.

REGISTRATION

PROSPERO CRD42022300551.

Longer-Term Effects of Cardiac Telerehabilitation on Patients With Coronary Artery Disease: Systematic Review and Meta-Analysis

BACKGROUND

Cardiac telerehabilitation offers a flexible and accessible model for patients with coronary artery disease (CAD), effectively transforming the traditional cardiac rehabilitation (CR) approach.

OBJECTIVE

This systematic review and meta-analysis aimed to evaluate the long-term effectiveness of cardiac telerehabilitation.

METHODS

We searched randomized controlled trials (RCTs) in 7 electronic databases: PubMed, Web of Science, EMBASE, the Cochrane Central Register of Controlled Trials, ClinicalTrials.gov, the China National Knowledge Infrastructure, and WANFANG. The primary outcome focused on cardiopulmonary fitness. For secondary outcomes, we examined cardiovascular risk factors (blood pressure, BMI, and serum lipids), psychological scales of depression and anxiety, quality of life (QoL), cardiac telerehabilitation adherence, and adverse events.

RESULTS

In total, 10 RCTs fulfilled the predefined criteria, which were reviewed in our meta-analysis. The results showed that after cardiac telerehabilitation, there was a significant difference in the improvement in long-term peak oxygen uptake compared to center-based CR (mean difference [MD] 1.61, 95% CI 0.38-2.85, P=.01), particularly after 6-month rehabilitation training (MD 1.87, 95% CI 0.34-3.39, P=.02). The pooled effect size of the meta-analysis indicated that there were no significant differences in the reduction in cardiovascular risk factor control. There was also no practical demonstration of anxiety scores or depression scores. However, cardiac telerehabilitation demonstrated an improvement in the long-term QoL of patients (MD 0.92, 95% CI 0.06-1.78, P=.04). In addition, the study reported a high completion rate (80%) for cardiac telerehabilitation interventions. The incidence of adverse events was also low during long-term follow-up.

CONCLUSIONS

Cardiac telerehabilitation proves to be more effective in improving cardiopulmonary fitness and QoL during the long-term follow-up for patients with CAD. Our study highlights monitoring-enabled and patient-centered telerehabilitation programs, which play a vital role in the recovery and development of CAD and in the long-term prognosis of patients.

Service quality and accessibility of healthcare facilities: digital healthcare potential in Ho Chi Minh City

Background

Effective delivery of health services requires adequate quality in healthcare facilities and easy accessibility to health services physically or virtually. The purpose of this study was to reveal how the quality of healthcare facilities varies across the different parts of Ho Chi Minh City and how well residents (N = 9 million) can reach healthcare facilities. By demarcating the deficiently served areas of low accessibility, the study shows where urban planning and digital healthcare could improve accessibility to health services and the quality of services efficiently.

Methods

The analysis utilised geocoded information on hospitals, clinics, roads and population and the data of the quality scores of healthcare facilities. Quality scores were analysed by hot spot analysis and inverse distance weighting. Accessibility and formation of travel time-based service areas by travel time distances were calculated using road network, driving speed and population data.

Results

The results unveiled a centripetal spatial pattern of healthcare facilities and a similar pattern in their quality. Outside the travel time of 30 min for hospitals and 15 min for clinics, the deficiently served areas have a population of 1.1 to 1.2 million. Based on the results and the evidence of digital healthcare, this paper highlights how to develop and plan spatially effective service provision. Especially, it gives grounds to discuss how cost-effective digital healthcare could be applied to improve the accessibility and quality of health services in an urban structure of extensively varying accessibility to health services.

Conclusions

The results bring up the need and the means for improving the quality of health services and their cost-efficient availability by location optimisation, road improvements and implementing digital healthcare provided by hospitals and clinics in the city. At the same, this study provides a multidisciplinary approach for planning more equal and efficient health service provision geographically.

The effect of telemedicine on secondary prevention of atherosclerotic cardiovascular disease: A systematic review and meta-analysis

Aim

The purpose of this systematic review was to evaluate the efficiency of telemedicine on the secondary level of prevention of patients with arteriosclerotic cardiovascular disease (ASCVD), provide evidence for the application of telemedicine in secondary prevention and promote the development of telemedicine in secondary prevention.

Methods

A computer-based search was conducted in MEDLINE, Embase, Pubmed, EBSCO, CINAHL, the Cochrane Library, and Web of Science. Randomized controlled trials regarding the effect of telemedicine on secondary prevention of ASCVD were included from inception to May, 2022. Meta-analysis was used to compare the results of the included studies by RevMan5.4 software. The Cochrane Collaboration bias risk tool was used to perform risk of bias assessment in this study. Outcomes included risk factors, physical activity and exercise, muscle function, exercise compliance, medication adherence, healthy diet, depression and anxiety, self-efficacy, knowledge score, economy, and safety endpoints. Subgroup analysis was carried out for different main intervention measures included in the literature.

Results

A total of 32 randomized clinical studies (n = 10 997 participants) were included in the meta-analysis. Compared with usual secondary prevention (USP) group, participants in telemedicine of secondary prevention (TOSP) group showed significant improvement in some risk factors including BMI (MD –0.87, p = 0.002), SBP (MD –4.09, p = 0.007) and DBP (MD –2.91, p = 0.0002) when they use the telephone as the intervention. In physical activity and exercise, Patients in TOSP showed an improvement in VO2 Peak (mL⋅kg–1⋅min–1) (OR 1.58, p = 0.02), 6MWT (MD 21.41, p = 0.001), GSLTPA score (MD 2.89, p = 0.005). Effects on medication adherence, exercise compliance, muscle function, healthy diet, economy and self-efficacy were synthesized narratively. Patients in TOSP did not show a reduction in knowledge score, depression, anxiety and safety endpoints.

Conclusion

There is a net benefit of secondary prevention supported by telemedicine (especially when using the telephone as an intervention) in patients with ASCVD in the terms of some risk factors, physical activity and exercise. There are still controversies in the improvement of medication adherence, exercise compliance, muscle function, healthy diet, knowledge score, self-efficacy and economy via telemedicine, which is worth exploring. Larger samples size and longer-term follow-ups are needed in future studies.

Systematic review registration

[https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=330478], identifier [CRD42022330478].

A Systematic Review of Personalized Health Applications through Human–Computer Interactions (HCI) on Cardiovascular Health Optimization

Introduction: Currently, the deployment of human–computer interactive technologies to provide personalized care has grown and immensely taken shape in most healthcare settings. With the increasing growth of the internet and technology, personalized health interventions including smartphones, associated apps, and other interventions demonstrate prowess in various health fields, including cardiovascular management. This systematic review thus examines the effectiveness of various human–computer interactions technologies through telehealth (mainly eHealth) towards optimizing the outcomes in cardiovascular treatment. Methods: A comprehensive search of MEDLINE, EMBASE, and CINAHL databases using key terms was conducted from 2000 to November 2021 to identify suitable studies that explored the use of human–computer interaction technologies to provide a personalized care approach to facilitate bolstered outcomes for cardiovascular patients, including the elderly. The included studies were assessed for quality and risk of bias, and the authors undertook a data extraction task. Results: Ten studies describing the use of a mix of personalized health app (mHealth) interventions were identified and included in the study. Among the included studies, nine of them were randomized trials. All of the studies demonstrated the effectiveness of various personalized health interventions in maximizing the benefits of cardiovascular disease treatment. Conclusions: Personalized health application interventions through precision medicine has great potential to boost cardiovascular disease management outcomes, including rehabilitation. Fundamentally, since each intervention’s focus might differ based on the disease and outcome preference, it is recommended that more research be done to tailor the interventions to specific disease and patient outcome expectations.

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.

Effect of a Lifestyle-Focused Web-Based Application on Risk Factor Management in Patients Who Have Had a Myocardial Infarction: Randomized Controlled Trial

BACKGROUND

Cardiac rehabilitation is central in reducing mortality and morbidity after myocardial infarction. However, the fulfillment of guideline-recommended cardiac rehabilitation targets is unsatisfactory. eHealth offers new possibilities to improve clinical care.

OBJECTIVE

This study aims to assess the effect of a web-based application designed to support adherence to lifestyle advice and self-control of risk factors (intervention) in addition to center-based cardiac rehabilitation, compared with cardiac rehabilitation only (usual care).

METHODS

All 150 patients participated in cardiac rehabilitation. Patients randomized to the intervention group (n=101) received access to the application for 25 weeks where information about lifestyle (eg, diet and physical activity), risk factors (eg, weight and blood pressure [BP]), and symptoms could be registered. The software provided feedback and lifestyle advice. The primary outcome was a change in submaximal exercise capacity (Watts [W]) between follow-up visits. Secondary outcomes included changes in modifiable risk factors between baseline and follow-up visits and uptake and adherence to the application. Regression analysis was used, adjusting for relevant baseline variables.

RESULTS

There was a nonsignificant trend toward a larger change in exercise capacity in the intervention group (n=66) compared with the usual care group (n=40; +14.4, SD 19.0 W, vs +10.3, SD 16.1 W; P=.22). Patients in the intervention group achieved significantly larger BP reduction compared with usual care patients at 2 weeks (systolic -27.7 vs -16.4 mm Hg; P=.006) and at 6 to 10 weeks (systolic -25.3 vs -16.4 mm Hg; P=.02, and diastolic -13.4 vs -9.1 mm Hg; P=.05). A healthy diet index score improved significantly more between baseline and the 2-week follow-up in the intervention group (+2.3 vs +1.4 points; P=.05), mostly owing to an increase in the consumption of fish and fruit. At 6 to 10 weeks, 64% (14/22) versus 46% (5/11) of smokers in the intervention versus usual care groups had quit smoking, and at 12 to 14 months, the respective percentages were 55% (12/22) versus 36% (4/11). However, the number of smokers in the study was low (33/149, 21.9%), and the differences were nonsignificant. Attendance in cardiac rehabilitation was high, with 96% (96/100) of patients in the intervention group and 98% (48/49) of patients receiving usual care only attending 12- to 14-month follow-up. Uptake (logging data in the application at least once) was 86.1% (87/101). Adherence (logging data at least twice weekly) was 91% (79/87) in week 1 and 56% (49/87) in week 25.

CONCLUSIONS

Complementing cardiac rehabilitation with a web-based application improved BP and dietary habits during the first months after myocardial infarction. A nonsignificant tendency toward better exercise capacity and higher smoking cessation rates was observed. Although the study group was small, these positive trends support further development of eHealth in cardiac rehabilitation.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03260582; https://clinicaltrials.gov/ct2/show/NCT03260582.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.1186/s13063-018-3118-1.

A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial

Background

Patients hospitalized with acute coronary syndrome (ACS) or heart failure (HF) are frequently readmitted. This is the first randomized controlled trial of a mobile health intervention that combines telemonitoring and education for inpatients with ACS or HF to prevent readmission.

Objective

This study aims to investigate the feasibility, efficacy, and cost-effectiveness of a smartphone app–based model of care (TeleClinical Care [TCC]) in patients discharged after ACS or HF admission.

Methods

In this pilot, 2-center randomized controlled trial, TCC was applied at discharge along with usual care to intervention arm participants. Control arm participants received usual care alone. Inclusion criteria were current admission with ACS or HF, ownership of a compatible smartphone, age ≥18 years, and provision of informed consent. The primary end point was the incidence of unplanned 30-day readmissions. Secondary end points included all-cause readmissions, cardiac readmissions, cardiac rehabilitation completion, medication adherence, cost-effectiveness, and user satisfaction. Intervention arm participants received the app and Bluetooth-enabled devices for measuring weight, blood pressure, and physical activity daily plus usual care. The devices automatically transmitted recordings to the patients’ smartphones and a central server. Thresholds for blood pressure, heart rate, and weight were determined by the treating cardiologists. Readings outside these thresholds were flagged to a monitoring team, who discussed salient abnormalities with the patients’ usual care providers (cardiologists, general practitioners, or HF outreach nurses), who were responsible for further management. The app also provided educational push notifications. Participants were followed up after 6 months.

Results

Overall, 164 inpatients were randomized (TCC: 81/164, 49.4%; control: 83/164, 50.6%; mean age 61.5, SD 12.3 years; 130/164, 79.3% men; 128/164, 78% admitted with ACS). There were 11 unplanned 30-day readmissions in both groups (P=.97). Over a mean follow-up of 193 days, the intervention was associated with a significant reduction in unplanned hospital readmissions (21 in TCC vs 41 in the control arm; P=.02), including cardiac readmissions (11 in TCC vs 25 in the control arm; P=.03), and higher rates of cardiac rehabilitation completion (20/51, 39% vs 9/49, 18%; P=.03) and medication adherence (57/76, 75% vs 37/74, 50%; P=.002). The average usability rating for the app was 4.5/5. The intervention cost Aus $6028 (US $4342.26) per cardiac readmission saved. When modeled in a mainstream clinical setting, enrollment of 237 patients was projected to have the same expenditure compared with usual care, and enrollment of 500 patients was projected to save approximately Aus $100,000 (approximately US $70,000) annually.

Conclusions

TCC was feasible and safe for inpatients with either ACS or HF. The incidence of 30-day readmissions was similar; however, long-term benefits were demonstrated, including fewer readmissions over 6 months, improved medication adherence, and improved cardiac rehabilitation completion.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12618001547235; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=375945

Management of cardiovascular disease using an mHealth tool: a randomized clinical trial

Atherosclerotic cardiovascular disease (ASCVD) is a leading cause of death and morbidity worldwide. This randomized controlled, single-center, open-label trial tested the impact of a mobile health (mHealth) service tool optimized for ASCVD patient care. Patients with clinical ASCVD were enrolled and randomly assigned to the intervention or control group. Participants in the intervention group were provided with a smartphone application named HEART4U, while a dedicated interface integrated into the electronic healthcare record system was provided to the treating physicians. A total of 666 patients with ASCVD were enrolled, with 333 patients in each group. The estimated baseline 10-year risk of cardiovascular disease was 9.5% and 10.8% in the intervention and control groups, respectively, as assessed by the pooled cohort risk equations. The primary study endpoint was the change in the estimated risk at six months. The estimated risk increased by 1.3% and 1.1%, respectively, which did not differ significantly (P = 0.821). None of the secondary study endpoints showed significant differences between the groups. A post-hoc subgroup analysis showed the benefit was greater if a participant in the intervention group accessed the application more frequently. The present study demonstrated no significant benefits associated with the use of the mHealth tool in terms of the predefined study endpoints in stable patients with ASCVD. However, it also suggested that motivating patients to use the mHealth tool more frequently may lead to greater clinical benefit. Better design with a positive user experience needs to be considered for developing future mHealth tools for ASCVD patient care.Trial Registration: ClinicalTrials.gov NCT03392259.

Methods Used to Evaluate mHealth Applications for Cardiovascular Disease: A Quasi-Systematic Scoping Review

In the face of demographic change and constantly increasing health care costs, health care system decision-makers face ever greater challenges. Mobile health applications (mHealth apps) have the potential to combat this trend. However, in order to integrate mHealth apps into care structures, an evaluation of such apps is needed. In this paper, we focus on the criteria and methods of evaluating mHealth apps for cardiovascular disease and the implications for developing a widely applicable evaluation framework for mHealth interventions. Our aim is to derive substantiated patterns and starting points for future research by conducting a quasi-systematic scoping review of relevant peer-reviewed literature published in English or German between 2000 and 2021. We screened 4066 articles and identified n = 38 studies that met our inclusion criteria. The results of the data derived from these studies show that usability, motivation, and user experience were evaluated primarily using standardized questionnaires. Usage protocols and clinical outcomes were assessed primarily via laboratory diagnostics and quality-of-life questionnaires, and cost effectiveness was tested primarily based on economic measures. Based on these findings, we propose important considerations and elements for the development of a common evaluation framework for professional mHealth apps, including study designs, data collection tools, and perspectives.

Chinese Home-Based Cardiac Rehabilitation Model Delivered by Smartphone Interaction Improves Clinical Outcomes in Patients With Coronary Heart Disease

Purpose: We evaluated the long-term effect of a smartphone-facilitated home-based cardiac rehabilitation (HBCR) model in revascularized patients with coronary heart disease (CHD) on major adverse cardiac events (MACE), and secondary outcomes, including safety, quality of life, and physical capacity. Methods: It was a prospective observational cohort study including a total of 335 CHD patients after successful percutaneous coronary intervention (PCI) referred to the CR clinic in China between July 23, 2015 and March 1, 2018. Patients were assigned to two groups: HBCR tailored by monitoring and telecommunication via smartphone app (WeChat) (HBCR group, n = 170) or usual care (control group, n = 165), with follow-up for up to 42 months. Propensity score matching was conducted to match patients in the HBCR group with those in the control group. The patients in the HBCR group received educational materials weekly and individualized exercise prescription monthly, and the control group only received 20-min education at baseline in the CR clinic. The primary outcome was MACE, analyzed by Cox regression models. The changes in the secondary outcomes were analyzed by paired t-test among the matched cohort. Results: One hundred thirty-five HBCR patients were matched with the same number of control patients. Compared to the control group, the HBCR group had a much lower incidence of MACE (1.5 vs. 8.9%, p = 0.002), with adjusted HR = 0.21, 95% CI 0.07-0.85, and also had reduced unscheduled readmission (9.7 vs. 23.0%, p = 0.002), improved exercise capacity [maximal METs (6.2 vs. 5.1, p = 0.002)], higher Seattle Angina Questionnaire score, and better control of risk factors. Conclusions: The Chinese HBCR model using smartphone interaction is a safe and effective approach to decrease cardiovascular risks of patients with CHD and improve patients' wellness. Clinical Trial Registration: http://www.chictr.org.cn, identifier: ChiCTR1800015042.

SMARTphone-based, early cardiac REHABilitation in patients with acute coronary syndromes: a randomized controlled trial

BACKGROUND

There are well-documented treatment gaps in secondary prevention of coronary heart disease with a lack of clearly defined strategies to assist early physical activity after acute coronary syndromes (ACS). Smartphone technology may provide an innovative platform to close these gaps.

OBJECTIVES

The primary goal of this study was to assess whether a smartphone-based, early cardiac rehabilitation program improved exercise capacity in patients with ACS.

METHODS

A total of 206 patients with ACS across six tertiary Australian hospitals were included in this randomized controlled trial. Participants were randomized to usual care (UC; including referral to traditional cardiac rehabilitation), with or without an adjunctive smartphone-based cardiac rehabilitation program (S-CRP) upon hospital discharge. The primary endpoint was change in exercise capacity, measured by the change in 6-minute walk test distance at 8 weeks when compared to baseline, between groups. Secondary endpoints included uptake and adherence to cardiac rehabilitation, changes in cardiac risk factors, psychological well-being and quality of life status.

RESULTS

Of the 168 patients with complete follow-up (age 56 ± 10 years; 16% females), 83 were in the S-CRP. At 8-week follow-up, the S-CRP group had a clinically significant improvement in 6-minute walk test distance (Δ117 ± 76 vs. Δ91 ± 110 m; P = 0.02). Patients in the S-CRP were more likely to participate (87% vs. 51%, P < 0.001) and adhere (72% vs. 22%, P < 0.001) to a cardiac rehabilitation program. Compared to UC, patients receiving S-CRP had similar smoking cessation rates, LDL-cholesterol levels, blood pressure reduction, depression, anxiety and quality of life measures (all P = NS).

CONCLUSION

In patients with ACS, a S-CRP, as an adjunct to UC improved exercise capacity at 8 weeks in addition to participation and adherence to cardiac rehabilitation (Australian New Zealand Clinical Trials Registry; ACTRN12616000426482).

The efficacy of mobile health in alleviating risk factors related to the occurrence and development of coronary heart disease: A systematic review and meta-analysis

The association between the efficacy of mobile health and the occurrence and development of coronary heart disease (CHD) is still unclear. Mobile health can alleviate the risk factors for CHD. PubMed, EMbase, Web of Science, The Cochrane Library, CNKI, WanFang, and VIP databases were searched from inception through May 28, 2020. Randomized controlled trials of the effect of mobile health in alleviating the risk factors of CHD's occurrence and development were included. Risks of bias were assessed by two independent reviewers by using the RevMan 5.3, GRADEpro, and RoB2.0 to generate findings. Meta-analyses were performed to investigate the effects of mobile health on risk factors for CHD. Subgroup analyses were conducted. Sixteen randomized controlled trials, including 3898 patients with CHD, were included. Meta-analysis results showed that mobile health can reduce BMI (mean difference [MD] = - 1.24, 95% CI = - 2.02 to - 0.45, p < .05), waist circumference (MD = - 4.40, 95% CI = - 4.72 to - 4.08, p < .00001), total cholesterol (TC) level (MD = - 0.43, 95% CI = - 0.64 to - 0.22, p < 0.00001), low-density lipoprotein cholesterol (LDL-C) level (MD = - 0.31, 95% CI = - 0.48 to - 0.15, p < .05), diastolic blood pressure (MD = - 2.01, 95% CI = - 3.40 to - 0.623, p < .05), and depression (MD = - 8.32, 95% CI = - 12.83 to - 3.81, p < .05) and increase high-density lipoprotein cholesterol level (MD = 0.16, 95% CI = 0.01 to 0.32, p < .05) with statistically significant differences. The results of subgroup analyses indicated that the simple mobile health intervention has more remarkable advantages in reducing BMI, TC, LDL-C, and systolic blood pressure than the complex mobile health intervention. Mobile health can alleviate the risk factors for CHD and has a certain effect on the prevention and recovery of CHD. Simple mobile health has a remarkable advantage. Limited by the quantity and quality of included studies, future research enrolling high-quality studies should be taken to verify the above conclusions.

Going digital: a narrative overview of the effects, quality and utility of mobile apps in chronic disease self-management

Objective Smartphone health applications (apps) are being increasingly used to assist patients in chronic disease self-management. The effects of such apps on patient outcomes are uncertain, as are design features that maximise usability and efficacy, and the best methods for evaluating app quality and utility. Methods In assessing efficacy, PubMed, Cochrane Library and EMBASE were searched for systematic reviews (and single studies if no systematic review was available) published between January 2007 and January 2018 using search terms (and synonyms) of 'smartphone' and 'mobile applications', and terms for each of 11 chronic diseases: asthma, chronic obstructive lung disease (COPD), diabetes, chronic pain, serious mental health disorders, alcohol and substance addiction, heart failure, ischaemic heart disease, cancer, cognitive impairment, chronic kidney disease (CKD). With regard to design features and evaluation methods, additional reviews were sought using search terms 'design', 'quality,' 'usability', 'functionality,' 'adherence', 'evaluation' and related synonyms. Results Of 13 reviews and six single studies assessing efficacy, consistent evidence of benefit was seen only with apps for diabetes, as measured by decreased glycosylated haemoglobin levels (HbA1c). Some, but not all, studies showed benefit in asthma, low back pain, alcohol addiction, heart failure, ischaemic heart disease and cancer. There was no evidence of benefit in COPD, cognitive impairment or CKD. In all studies, benefits were clinically marginal and none related to morbid events or hospitalisation. Twelve design features were identified as enhancing usability. An evaluation framework comprising 32 items was formulated. Conclusion Evidence of clinical benefit of most available apps is very limited. Design features that enhance usability and maximise efficacy were identified. A provisional 'first-pass' evaluation framework is proposed that can help decide which apps should be endorsed by government agencies following more detailed technical assessments and which could then be recommended with confidence by clinicians to their patients. What is known about the topic? Smartphone health apps have attracted considerable interest from patients and health managers as a means of promoting more effective self-management of chronic diseases, which leads to better health outcomes. However, most commercially available apps have never been evaluated for benefits or harms in clinical trials, and there are currently no agreed quality criteria, standards or regulations to ensure health apps are user-friendly, accurate in content, evidence based or efficacious. What does this paper add? This paper presents a comprehensive review of evidence relating to the efficacy, usability and evaluation of apps for 11 common diseases aimed at assisting patients in self-management. Consistent evidence of benefit was only seen for diabetes apps; there was absent or conflicting evidence of benefit for apps for the remaining 10 diseases. Benefits that were detected were of marginal clinical importance, with no reporting of hard clinical end-points, such as mortality or hospitalisations. Only a minority of studies explicitly reported using behaviour change theories to underpin the app intervention. Many apps lacked design features that the literature identified as enhancing usability and potential to confer benefit. Despite a plethora of published evaluation tools, there is no universal framework that covers all relevant clinical and technical attributes. An inclusive list of evaluation criteria is proposed that may overcome this shortcoming. What are the implications for practitioners? The number of smartphone apps will continue to grow, as will the appetite for patients and clinicians to use them in chronic disease self-management. However, the evidence to date of clinical benefit of most apps already available is very limited. Design features that enhance usability and clinical efficacy need to be considered. In making decisions about which apps should be endorsed by government agencies and recommended with confidence by clinicians to their patients, a comprehensive but workable evaluation framework needs to be used by bodies assuming the roles of setting and applying standards.

A Smartphone App for Patients With Acute Coronary Syndrome (MoTER-ACS): User-Centered Design Approach

BACKGROUND

Postdischarge interventions are limited for patients with acute coronary syndrome (ACS) due to few scheduled visits to outpatient clinics and the need to travel from remote areas. Smartphones have become viable lifestyle technology to deliver home-based educational and health interventions.

OBJECTIVE

The aim of this study was to develop a smartphone-based intervention for providing postdischarge support to patients with ACS.

METHODS

The content of Mobile Technology-Enabled Rehabilitation for Patients with ACS (MoTER-ACS) was derived from a series of small studies, termed prestudy surveys, conducted in 2017. The prestudy surveys were conducted in Prince Charles Hospital, Queensland, Australia, and consisted of questionnaires among a convenience sample of patients with ACS (n=30), a focus group discussion with health care professionals (n=10), and an online survey among cardiologists (n=15). Responses from the patient survey identified educational topics of MoTER-ACS. The focus group with health care professionals assisted with identifying educational materials, health monitoring, and self-management interventions. Based on the results of the cardiologists' survey, monitoring of symptoms related to heart failure exacerbation was considered as a weekly diary.

RESULTS

The MoTER-ACS app covers multimedia educational materials to adopt a healthy lifestyle and includes user-friendly tools to monitor physiological and health parameters such as blood pressure, weight, and pain, assisting patients in self-managing their condition. A web portal that is linked to the data from the smartphone app is available to clinicians to regularly access patients' data and provide support.

CONCLUSIONS

The MoTER-ACS platform extends the capabilities of previous mobile health platforms by providing a home-based educational and self-management intervention for patients with ACS following discharge from the hospital. The MoTER-ACS intervention narrows the gap between existing hospital-based programs and home-based interventions by complementing the postdischarge program for patients with ACS.

Readiness for Voice Technology in Patients With Cardiovascular Diseases: Cross-Sectional Study

Background

The clinical application of voice technology provides novel opportunities in the field of telehealth. However, patients’ readiness for this solution has not been investigated among patients with cardiovascular diseases (CVD).

Objective

This paper aims to evaluate patients’ anticipated experiences regarding telemedicine, including voice conversational agents combined with provider-driven support delivered by phone.

Methods

A cross-sectional study enrolled patients with chronic CVD who were surveyed using a validated investigator-designed questionnaire combining 19 questions (eg, demographic data, medical history, preferences for using telehealth services). Prior to the survey, respondents were educated on the telemedicine services presented in the questionnaire while being assisted by a medical doctor. Responses were then collected and analyzed, and multivariate logistic regression was used to identify predictors of willingness to use voice technology.

Results

In total, 249 patients (mean age 65.3, SD 13.8 years; 158 [63.5%] men) completed the questionnaire, which showed good repeatability in the validation procedure. Of the 249 total participants, 209 (83.9%) reported high readiness to receive services allowing for remote contact with a cardiologist (176/249, 70.7%) and telemonitoring of vital signs (168/249, 67.5%). The voice conversational agents combined with provider-driven support delivered by phone were shown to be highly anticipated by patients with CVD. The readiness to use telehealth was statistically higher in people with previous difficulties accessing health care (OR 2.920, 95% CI 1.377-6.192) and was most frequent in city residents and individuals reporting a higher education level. The age and sex of the respondents did not impact the intention to use voice technology (P=.20 and P=.50, respectively).

Conclusions

Patients with cardiovascular diseases, including both younger and older individuals, declared high readiness for voice technology.

Digital cardiovascular care in COVID-19 pandemic: A potential alternative?

BACKGROUND

Cardiovascular patients are at increased risk of acquiring coronavirus disease 2019 (COVID-19) infection while their visit to healthcare facilities. There is a need for alternative tools for optimal monitoring and management of cardiovascular patients in the present pandemic situation. Digital health care may prove to be a new revolutionary tool to protect cardiovascular patients from coronavirus disease by avoiding routine visits to health care facilities that are already overwhelmed with COVID-19 patients.

METHODS

To evaluate the role of digital health care in the present era of the COVID-19 pandemic, we have reviewed the published literature on digital health services providing cardiovascular care.

RESULTS AND CONCLUSION

Digital health including telemedicine services, robotic telemedicine carts, use of artificial intelligence and machine learning, use of digital gadgets like smartwatches and web-based applications may be a safe alternative for the management of cardiovascular patients in the present pandemic situation.

Smartphone-based application to improve medication adherence in patients after surgical coronary revascularization

BACKGROUND

Secondary preventive therapies play a key role in the prevention of adverse events after coronary artery bypass grafting (CABG). However, adherence to secondary preventive drugs after CABG is often poor. With the increasing penetration of smartphones, health-related smartphone applications might provide an opportunity to improve medication adherence. We aimed to evaluate the effectiveness and feasibility of using a smartphone-based application to improve medication adherence in patients after CABG.

METHODS

The Measurement and Improvement Studies of Surgical coronary revascularizatION: medication adherence (MISSION-2) study is a multicenter randomized controlled trial that planned to enroll over 1000 patients who underwent isolated CABG at one of four large teaching hospitals in China; all enrolled participants had access to a smartphone and were able to operate at least three smartphone applications. The investigators randomly assigned the participants to one of two groups: (1) the intervention group with an advanced smartphone application for 6 months which was designed specifically for this trial and did not exist before. Participants could receive medication reminders and cardiac health education by the smartphone application or (2) the control group with usual care. The primary outcome was CABG secondary preventive medication adherence as measured by the translated Chinese version of the 8-item Morisky Medication Adherence Scale (MMAS-8) at 6 months after randomization. The secondary outcomes were mortality, major adverse cardiovascular and cerebrovascular events (MACCE), cardiovascular rehospitalization, self-reported secondary preventive medication use after 6 months of follow-up, blood pressure (BP), body mass index (BMI), and self-reported smoking status. All analyses were conducted using the intention-to-treat principle.

RESULTS

A total of 1000 patients (mean age, 57.28 [SD, 9.09] years; 85.5% male) with coronary heart disease after CABG were enrolled between September 2015 and September 2016 and were randomly assigned to the intervention (n = 501) or control group (n = 499). At 6 months, the proportion of low-adherence participants, categorized by MMAS-8 scores, was 11.8% in the intervention group and 11.7% in the control group (RR = 1.005, 95% CI 0.682 to 1.480, P = 1.000). Similar results were found in sensitivity analyses that considered participants who withdrew from the study, or were lost to follow-up as nonadherent. There were no significant differences in the secondary clinical outcome measures, and there were no significant differences in the primary outcome across the subgroups tested. In the intervention group, the proportion of participants who used and operated the application during the first month after CABG was 88.1%; however, the use rate decreased sharply from 42.5% in the second month to 9.2% by the end of the study (6 months).

CONCLUSIONS

A smartphone-based application supporting secondary prevention among patients after CABG did not lead to a greater adherence to secondary preventive medications. The limited room for improvement in medication adherence and the low participants' engagement with the smartphone applications might account for these non-significant outcomes.

Impact of technology-based patient education on modifiable cardiovascular risk factors of people with coronary heart disease: A systematic review

OBJECTIVE

To collect evidence on what types of technology and content are most effective in helping people with coronary heart disease (CHD) to change their modifiable cardiovascular risk factors.

METHODS

A literature search was performed to find relevant studies published between 1 January 2008 and 31 December 2018 in PubMed, CINAHL, PROQUEST and Scopus databases. Selected outcomes were risk factors (exercise, diet, blood pressure, blood sugar, cholesterol, body mass index, tobacco use). The quality of the studies was evaluated according to Joanna Briggs Institute Reviewers Manual Checklists for risk for bias, TIDieR for quality of interventions, and PRISMA statement for presenting results.

RESULTS

Eighteen quantitative (17 RCT´s and one quasi-experimental) studies were included. Patient education delivered through telephone, text messaging, webpages, and smartphone applications resulted in significant changes in some risk factors of people with CHD. Sufficient descriptions of the content and intervention methods were lacking.

CONCLUSION

Patient education delivered with technology can help people with CHD to modify their risk factors. There is a need for better descriptions of the content and delivery of educational interventions in studies.

PRACTICE IMPLICATIONS

Patient education needs to be delivered with technological solutions that best support the multidimensional needs of CHD patients.

Mobile Phone Technologies in the Management of Ischemic Heart Disease, Heart Failure, and Hypertension: Systematic Review and Meta-Analysis

Background

Cardiovascular disease (CVD) remains the leading cause of death worldwide. Mobile phones have become ubiquitous in most developed societies. Smartphone apps, telemonitoring, and clinician-driven SMS allow for novel opportunities and methods in managing chronic CVD, such as ischemic heart disease, heart failure, and hypertension, and in the conduct and support of cardiac rehabilitation.

Objective

A systematic review was conducted using seven electronic databases, identifying all relevant randomized control trials (RCTs) featuring a mobile phone intervention (MPI) used in the management of chronic CVD. Outcomes assessed included mortality, hospitalizations, blood pressure (BP), and BMI.

Methods

Electronic data searches were performed using seven databases from January 2000 to June 2019. Relevant articles were reviewed and analyzed. Meta-analysis was performed using standard techniques. The odds ratio (OR) was used as a summary statistic for dichotomous variables. A random effect model was used.

Results

A total of 26 RCTs including 6713 patients were identified and are described in this review, and 12 RCTs were included in the meta-analysis. In patients with heart failure, MPIs were associated with a significantly lower rate of hospitalizations (244/792, 30.8% vs 287/803, 35.7%; n=1595; OR 0.77, 95% CI 0.62 to 0.97; P=.03; I²=0%). In patients with hypertension, patients exposed to MPIs had a significantly lower systolic BP (mean difference 4.3 mm Hg; 95% CI −7.8 to −0.78 mm Hg; n=2023; P=.02).

Conclusions

The available data suggest that MPIs may have a role as a valuable adjunct in the management of chronic CVD.

Mobile-Application-Based Interventions for Patients With Hypertension and Ischemic Heart Disease: A Systematic Review

BACKGROUND

Hypertension and ischemic heart disease are major causes of adult mortality. Related interventions to manage these conditions are important to implement during long, symptom-free periods. The recent proliferation of smartphones has spawned numerous health interventions that rely on mobile applications.

PURPOSE

This systematic review was designed to summarize and analyze research on interventions using mobile applications for patients with hypertension and ischemic heart disease.

METHODS

We searched for related studies published from January 2006 to August 2017 on MEDLINE, EMBASE, CINAHL, and three Korean databases. Seventeen studies were identified and evaluated against eligibility criteria that included a focus on patients with hypertension or ischemic heart disease and a discussion of the detailed effects of a mobile-app-based intervention. All of the identified studies were evaluated qualitatively using a methodology checklist.

RESULTS

Twelve of the 17 studies were deemed as of acceptable quality according to the Scottish Intercollegiate Guideline Network quality assessment. According to the National Institutes of Health quality assessment tool, one article was of fair quality and four articles were of poor quality. Monitoring, education, and reminders were identified as application interventions. The effects of the app interventions were analyzed according to physiological factors, cognitive and behavioral factors, and psychological factors. Of the seven studies that measured blood pressure in patients with hypertension, five studies reported that the app-based interventions reduced blood pressure. Two of three studies showed a significant decrease of body mass index in patients with ischemic heart disease after the app-based interventions compared to the control group. Five of seven studies reported a significant change in medication adherence. Several studies showed different outcomes according to the disease, but the limited number of eligible studies was insufficient to demonstrate a conclusive effect.

CONCLUSIONS

To ensure the long-term effects of mobile-application-based interventions, healthcare professionals should consider the functions of mobile applications. Moreover, because the focus of these interventions may differ based on the nature of the disease, it is recommended that the composition of interventions be tailored to the specific disease.

Efficacy of Smartphone-Based Secondary Preventive Strategies in Coronary Artery Disease

Background:

Cardiac rehabilitation programs provide a comprehensive framework for the institution of secondary preventive measures. Smartphone technology can provide a platform for the delivery of such programs and is a promising alternative to hospital-based services. However, there is limited evidence to date supporting this approach. Accordingly, we performed a systematic review and meta-analysis examining smartphone-based secondary prevention programs to traditional cardiac rehabilitation in patients with established coronary artery disease to ascertain the feasibility and effectiveness of these interventions.

Methods:

A systematic search of PubMed, MEDLINE, EMBASE, and the Cochrane Library was conducted. A meta-analysis was performed using a random-effects model with the outcomes of interest being 6-minute walk test (6MWT) distance, systolic blood pressure, low-density lipoprotein (LDL) cholesterol, and body mass index (BMI).

Results:

A total of 8 studies with 1120 patients across 5 countries were included in the quantitative analysis. Follow-up ranged from 6 weeks to 12 months. Five studies examined all patients post acute coronary syndrome, 2 studies examined only patients undergoing percutaneous coronary intervention, and 1 study examined all patients with a diagnosis of coronary artery disease, independent of intervention. Exercise capacity, as measured by the 6MWT, was significantly greater in the smartphone group (20.10 meters, 95% confidence interval [CI] 7.44-33.97; P < .001; I² = 45.58). There was no significant difference in BMI reduction, systolic blood pressure, or LDL cholesterol levels between groups (P value for all > .05).

Conclusion:

Publicly available smartphone-based cardiac rehabilitation programs are a convenient and easily disseminated intervention which show merit in exercise promotion in patients with established coronary artery disease. Further research is required to establish the clinical significance of recent findings favoring their use.

Improving Engagement Among Patients With Chronic Cardiometabolic Conditions Using mHealth: Critical Review of Reviews

Background

The burden imposed by cardiometabolic diseases remains a principal health care system concern. Integration of mobile health (mHealth) interventions is helpful for telemonitoring of these patients, which enables patients to be more active and take part in their treatment, while being more conscious and gaining more control over the outcomes. However, little is known about the degree to which users engage, and the extent to which this interaction matches the usage pattern for which mHealth interventions were designed.

Objective

The aim of this study was to describe the characteristics and results of studies on mHealth solutions that measured the effects of interventions with patient engagement in the context of chronic cardiometabolic diseases.

Methods

A critical review of systematic reviews was conducted to recover data on interventions focused on the engagement of patients with chronic cardiometabolic diseases using mHealth technologies. Articles (from January 1, 2010) were searched in the Medlars Online International Literature Medline (Medline/Pubmed), Embase, Cochrane Library, PsycINFO, and Scielo databases. Only studies that quantified a measure of engagement by patients with cardiometabolic disease were included for analysis. The Critical Appraisal Skills Programme (CASP) was used to determine included studies considering the quality of the data provided. The Scottish Intercollegiate Guidelines Network (SIGN) checklist was used to assess the quality of the evidence according to the methodology used in the studies reviewed. Engagement was defined as the level of patient implication or participation in self-care interventions. Engagement measures included number of logs to the website or platform, frequency of usage, number of messages exchanged, and number of tasks completed.

Results

Initially, 638 papers were retrieved after applying the inclusion and exclusion criteria. Finally, only three systematic reviews measuring engagement were included in the analysis. No reviews applying a meta-analysis approach were found. The three review articles described the results of 10 clinical trials and feasibility studies that quantified engagement and met the inclusion criteria assessed through CASP. The sample size varied between 6 and 270 individuals, who were predominantly men. Cardiac disease was the principal target in the comparison of traditional and mHealth interventions for engagement improvement. The level of patient engagement with mHealth technologies varied between 50% and 97%, and technologies incorporating smartphones with a reminder function resulted in the highest level of engagement.

Conclusions

mHealth interventions are an effective solution for improving engagement of patients with chronic cardiometabolic diseases. However, there is a need for advanced analysis and higher-quality studies focused on long-term engagement with specific interventions. The use of smartphones with a single app that includes a reminder function appears to result in better improvement in active participation, leading to higher engagement among patients with cardiometabolic diseases.

Effectiveness of mobile phone-based self-management interventions for medication adherence and change in blood pressure in patients with coronary heart disease: A systematic review and meta-analysis

AIMS

The aim of this study was to synthesise and evaluate the effectiveness of mobile phone-based self-management interventions for medication adherence and change in blood pressure in patients with coronary heart disease.

METHODS

Relevant randomised controlled trials evaluating mobile phone-based self-management interventions for medication adherence and/or change in blood pressure in coronary heart disease patients were identified by searching six electronic databases (PubMed, Cochrane, CINAHL, ProQuest, Scopus and EMBASE) from January 2008 to January 2019. The trials were screened, data were extracted and quality was assessed by two independent reviewers. Meta-analyses were performed for different outcomes while narrative syntheses were conducted for studies that could not be pooled or when there was the presence of high heterogeneity.

RESULTS

Fifteen trials were included in this review, of which 11 of these trials were meta-analysed. Mobile phone-based self-management interventions were associated with a statistically significant reduction in diastolic blood pressure (combined mean difference of -1.99 (95% confidence interval (CI) -3.20 to -0.78; P=0.0001)). However, the combined effect on medication adherence (medium size effect of d=0.72 (95% CI -0.32 to 1.75; P=0.17)) and change in systolic blood pressure (combined mean difference of -1.08 (95% CI -5.51 to 3.35; P=0.63)) was not statistically significant. There was significant heterogeneity among the trials reviewed.

CONCLUSION

Mobile phone-based self-management interventions have the potential to improve self-management and adherence in patients with coronary heart disease but better designed, conducted and reported trials are needed to demonstrate this.

Mobile phone text messaging and app-based interventions for smoking cessation

BACKGROUND

Mobile phone-based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face-to-face support. In addition, mCessation can be automated and therefore provided affordably even in resource-poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012.

OBJECTIVES

To determine whether mobile phone-based smoking cessation interventions increase smoking cessation rates in people who smoke.

SEARCH METHODS

For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018.

SELECTION CRITERIA

Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone-based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six-month follow-up.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta-analyses of the most stringent measures of abstinence at six months' follow-up or longer, using a Mantel-Haenszel random-effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only.

MAIN RESULTS

This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high-income countries. There was moderate-certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I² = 71%; 13 studies, 14,133 participants). There was also moderate-certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I² = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high- and low-intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I² = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I² = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower-intensity smoking cessation support (either a lower-intensity app or non-app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I² = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings.

AUTHORS' CONCLUSIONS

There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate-certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.

The correlation between glucose fluctuation from self-monitored blood glucose and the major adverse cardiac events in diabetic patients with acute coronary syndrome during a 6-month follow-up by WeChat application

Background This study aimed to investigate the correlation between glucose fluctuation from self-monitored blood glucose (SMBG) and the major adverse cardiac events (MACE) in diabetic patients with acute coronary syndrome (ACS) during a 6-month follow-up period using the WeChat application. Methods From November 2016 to June 2017, 262 patients with ACS were discharged in a stable condition and completed a 6-month follow-up period. SMBG was recorded using the WeChat application. The patients were divided to a high glucose fluctuation group (H group; n=92) and a low glucose fluctuation group (L group; n=170). The 6-month incidence of MACE, lost-to-follow-up rate and satisfaction rate were measured through the WeChat follow-up. Results MACE occurred in 17.4% of patients in the H group and in 8.2% of patients in the L group (p=0.04). Multivariable analysis suggested that high glucose fluctuation conferred an 87% risk increment of MACE in the 6-month follow-up period (odds ratio: 2.1, 95% confidence interval 1.95-4.85; p=0.03). The lost-to-follow-up rate was lower and the satisfaction rate was higher in the patients using the WeChat application during follow-up than those of the regular outpatient follow-up during the same period (p<0.05). Conclusions The trial demonstrates that higher glucose fluctuation from SMBG after discharge was correlated with a higher incidence of MACE in diabetic patients with ACS. WeChat follow-up might have the potential to promote a good physician-patient relationship.

Modes of e-Health delivery in secondary prevention programmes for patients with coronary artery disease: a systematic review

BACKGROUND

Electronic health (e-Health) interventions are emerging as an effective alternative model for improving secondary prevention of coronary artery disease (CAD). The aim of this study was to describe the effectiveness of different modes of delivery and components in e-Health secondary prevention programmes on adherence to treatment, modifiable CAD risk factors and psychosocial outcomes for patients with CAD.

METHOD

A systematic review was carried out based on articles found in MEDLINE, CINAHL, and Embase. Studies evaluating secondary prevention e-Health programmes provided through mobile-Health (m-Health), web-based technology or a combination of m-Health and web-based technology were eligible. The main outcomes measured were adherence to treatment, modifiable CAD risk factors and psychosocial outcomes. The quality appraisal of the studies included was conducted using the Joanna Briggs Institute critical appraisal tool for RCT. The results were synthesised narratively.

RESULT

A total of 4834 titles were identified and 1350 were screened for eligibility. After reviewing 123 articles in full, 24 RCTs including 3654 participants with CAD were included. Eight studies delivered secondary prevention programmes through m-Health, nine through web-based technology, and seven studies used a combination of m-Health and web-based technology. The majority of studies employed two or three secondary prevention components, of which health education was employed in 21 studies. The m-Health programmes reported positive effects on adherence to medication. Most studies evaluating web-based technology programmes alone or in combination with m-Health also utilised traditional CR, and reported improved modifiable CAD risk factors. The quality appraisal showed a moderate methodological quality of the studies.

CONCLUSION

Evidence exists that supports the use of e-Health interventions for improving secondary prevention of CAD. However, a comparison across studies highlighted a wide variability of components and outcomes within the different modes of delivery. High quality trials are needed to define the most efficient mode of delivery and components capable of addressing a favourable outcome for patients.

TRIAL REGISTRATION

Not applicable.

Technology for Behavioral Change in Rural Older Adults with Obesity

BACKGROUND

Mobile health (mHealth) technologies comprise a multidisciplinary treatment strategy providing potential solutions for overcoming challenges of successfully delivering health promotion interventions in rural areas. We evaluated the potential of using technology in a high-risk population.

METHODS

We conducted a convergent, parallel mixed-methods study using semi-structured interviews, focus groups, and self-reported questionnaires, using purposive sampling of 29 older adults, 4 community leaders and 7 clinicians in a rural setting. We developed codes informed by thematic analysis and assessed the quantitative data using descriptive statistics.

RESULTS

All groups expressed that mHealth could improve health behaviors. Older adults were optimistic that mHealth could track health. Participants believed they could improve patient insight into health, motivating change and assuring accountability. Barriers to using technology were described, including infrastructure.

CONCLUSIONS

Older rural adults with obesity expressed excitement about the use of mHealth technologies to improve their health, yet barriers to implementation exist.

Telehealth interventions for the secondary prevention of coronary heart disease: A systematic review and meta-analysis

BACKGROUND

Coronary heart disease (CHD) is a major cause of death worldwide. Cardiac rehabilitation, an evidence-based CHD secondary prevention programme, remains underutilized. Telehealth may offer an innovative solution to overcome barriers to cardiac rehabilitation attendance. We aimed to determine whether contemporary telehealth interventions can provide effective secondary prevention as an alternative or adjunct care compared with cardiac rehabilitation and/or usual care for patients with CHD.

METHODS

Relevant randomized controlled trials evaluating telehealth interventions in CHD patients with at least three months' follow-up compared with cardiac rehabilitation and/or usual care were identified by searching electronic databases. We checked reference lists, relevant conference lists, grey literature and keyword searching of the Internet. Main outcomes included all-cause mortality, rehospitalization/cardiac events and modifiable risk factors. (PROSPERO registration number 77507.).

RESULTS

In total, 32 papers reporting 30 unique trials were identified. Telehealth was not significant associated with a lower all-cause mortality than cardiac rehabilitation and/or usual care (risk ratio (RR)=0.60, 95% confidence interval (CI)=0.86 to 1.24, p=0.42). Telehealth was significantly associated with lower rehospitalization or cardiac events (RR=0.56, 95% CI=0.39 to 0.81, p<0.0001) compared with non-intervention groups. There was a significantly lower weighted mean difference (WMD) at medium to long-term follow-up than comparison groups for total cholesterol (WMD= -0.26 mmol/l, 95% CI= -0.4 to -0.11, p <0.001), low-density lipoprotein (WMD= -0.28, 95% CI = -0.50 to -0.05, p=0.02) and smoking status (RR=0.77, 95% CI =0.59 to 0.99, p=0.04].

CONCLUSIONS

Telehealth interventions with a range of delivery modes could be offered to patients who cannot attend cardiac rehabilitation, or as an adjunct to cardiac rehabilitation for effective secondary prevention.

eHealth to improve patient outcome in rehabilitating myocardial infarction patients

INTRODUCTION

Cardiac rehabilitation is aimed at risk factor modification and improving quality of life. eHealth has a couple of potential benefits to improve this aim. The primary purpose of this review is to summarize available literature for eHealth strategies that have been investigated in randomized controlled trials in post-myocardial infarction (MI) patients. The second purpose of this review is to investigate the clinical effectiveness in post-MI patients. Areas covered: The literature was searched using PubMed. Randomized controlled trials (RCTs) describing interventions in patients that had experienced an ST-elevation myocardial infarction or non-ST acute coronary syndrome were eligible for inclusion. Fifteen full-texts were included and their results are described in this review. These RCTs described interventions that used remote coaching or remote monitoring in post-MI patients. Most interventions resulted in an improved cardiovascular risk profile. Remote coaching had a positive effect on activity and dietary intake. Expert opinion: eHealth might be clinically beneficial in post-MI patients, particularly for risk estimation. Moreover, eHealth as a tool for remote coaching on activity is a good addition to traditional cardiac rehabilitation programs. Further research needs to corroborate these findings.

Perceptions and Acceptance of mHealth in Patients With Cardiovascular Diseases: A Cross-Sectional Study

Background

Mobile health (mHealth)—a method of assisting long-term care in patients with chronic cardiovascular diseases (CVDs)—is gaining popularity in China, mainly owing to the large number of patients and limited clinical resources. Patients of different ages have varying needs for CVD management. However, evidence regarding how age influences Chinese CVD patients’ use and perceptions of mHealth is limited.

Objective

This study aimed to explore age-related differences among Chinese patients with CVD regarding their use and perceptions of mHealth and to determine the factors that influence this population’s willingness to use mHealth technologies.

Methods

We conducted a cross-sectional study of patients with chronic CVDs in a tertiary hospital in Beijing using a new questionnaire designed by the investigators. Participants were sourced using nonproportional quota-sampling methods, being recruited consecutively in each sampling category (age 18-49, 50-64, 65-74, and ≥75 years, with at least 25 men and 25 women in each age group). The survey consisted of 5 parts, including sociodemographic profile and medical history; current disease management situation; self-evaluation of disease management; current usage of mobile and internet technology (IT); and willingness to use an mHealth solution to perform disease self-management. Responses were compared among the 4 age groups as well as between patients who were willing to use mHealth solutions and those who were not. Multivariate logistic regression model was used to identify predictors of willingness to use mHealth for self-management.

Results

Overall, 231 patients (124 men) completed the questionnaire; of these, 53 were aged 18-49 years, 66 were aged 50-64 years, 54 were aged 65-74 years, and 58 were aged ≥75 years. Patients in the older cohorts visited hospitals more often than did those in the younger cohorts (P<.001), and they also showed lower technology skills regarding the use of mobile or internet devices (P<.001) and searched for health-related information on the internet less often (P<.001). In addition, 68.0% (157/231) of the patients showed interest in using mHealth solution to manage their disease; of these, 40.8% (64/157) were aged ≥65 years. Patients who were more willing to use mHealth solution to manage their diseases were younger (P<.001), more educated (P<.001), still working (P=.001), possessed higher skill regarding mobile or internet device use (P<.001), and more frequently searched for health information on the internet (P<.001). Finally, multivariate logistic regression showed that IT skill was the single indicator (P=.003) of willingness to use mHealth, not age.

Conclusions

Although age is associated with the use of mobile or internet devices, the sole indicator of mHealth use for self-management was participants’ IT skills. Education regarding the use of mobile devices and development of easy-to-use software might improve the acceptance of mHealth solutions among older patient populations.

Effect of a lifestyle-focused electronic patient support application for improving risk factor management, self-rated health, and prognosis in post-myocardial infarction patients: study protocol for a multi-center randomized controlled trial

Background

Cardiac rehabilitation (CR) programs addressing risk factor management, educational interventions, and exercise contribute to reduce mortality after myocardial infarction (MI). However, the fulfillment of guideline-recommended CR targets is currently unsatisfactory. eHealth, i.e., the use of electronic communication for healthcare, including the use of mobile smartphone applications combined with different sensors and interactive computerized programs, offers a new array of possibilities to provide clinical care. The present study aims to assess the efficacy of a web-based application (app) designed to support persons in adhering to lifestyle advice and medication as a complement to traditional CR programs for improvement of risk factors and clinical outcomes in patients with MI compared with usual care.

Methods/design

An open-label multi-center randomized controlled trial is being conducted at different CR centers from three Swedish University Hospitals. The aim is to include 150 patients with MI < 75 years of age who are confident smartphone and/or Internet users. In addition to participation in CR programs according to the usual routine at each center, patients randomized to the intervention arm will receive access to the web-based app. A CR nurse reviews the patients’ self-reported data twice weekly through a medical interface at the clinic. The primary outcome of the study will be change in submaximal exercise capacity (in watts) between 2 and 4 weeks after discharge and when the patient has completed his/her exercise program at the CR center, usually around 3–6 months post-discharge. Secondary outcomes include changes in self-reported physical activity, objectively assessed physical activity by accelerometry, self-rated health, dietary, and smoking habits, body mass index, blood pressure, blood lipids, and glucose/HbA1c levels between inclusion and follow-up visits during the first year post-MI. Additionally, we will assess uptake and adherence to the application, the number of CR staff contacts, and the incidence of cardiovascular events at 1 and 3 years after the MI. Patient recruitment started in 2016, and the first study results are expected in the beginning of 2019.

Discussion

The present study will add evidence to whether electronic communication can be used to improve traditional CR programs for patients after MI.

Trial registration

ClinicalTrials.gov, NCT03260582. Retrospectively registered on 24 August 2017.

Electronic supplementary material

The online version of this article (10.1186/s13063-018-3118-1) contains supplementary material, which is available to authorized users.

Comparative Effectiveness of the Core Components of Cardiac Rehabilitation on Mortality and Morbidity: A Systematic Review and Network Meta-Analysis

A systematic review and network meta-analysis (NMA) of randomized controlled trials (RCTs) evaluating the core components of cardiac rehabilitation (CR), nutritional counseling (NC), risk factor modification (RFM), psychosocial management (PM), patient education (PE), and exercise training (ET)) was undertaken. Published RCTs were identified from database inception dates to April 2017, and risk of bias assessed using Cochrane's tool. Endpoints included mortality (all-cause and cardiovascular (CV)) and morbidity (fatal and non-fatal myocardial infarction (MI), coronary artery bypass surgery (CABG), percutaneous coronary intervention (PCI), and hospitalization (all-cause and CV)). Meta-regression models decomposed treatment effects into the main effects of core components, and two-way or all-way interactions between them. Ultimately, 148 RCTs (50,965 participants) were included. Main effects models were best fitting for mortality (e.g., for all-cause, specifically PM (hazard ratio HR = 0.68, 95% credible interval CrI = 0.54⁻0.85) and ET (HR = 0.75, 95% CrI = 0.60⁻0.92) components effective), MI (e.g., for all-cause, specifically PM (hazard ratio HR = 0.76, 95% credible interval CrI = 0.57⁻0.99), ET (HR = 0.75, 95% CrI = 0.56⁻0.99) and PE (HR = 0.68, 95% CrI = 0.47⁻0.99) components effective) and hospitalization (e.g., all-cause, PM (HR = 0.76, 95% CrI = 0.58⁻0.96) effective). For revascularization (including CABG and PCI individually), the full interaction model was best-fitting. Given that each component, individual or in combination, was associated with mortality and/or morbidity, recommendations for comprehensive CR are warranted.

Feasibility of a Smartphone-enabled Cardiac Rehabilitation Program in Male Veterans With Previous Clinical Evidence of Coronary Heart Disease

Cardiac rehabilitation (CR) is recommended for patients with coronary heart disease, however, participation among veterans remains poor. Smartphones may facilitate data transfer and communication between patients and providers, among other benefits. We evaluated the feasibility of a smartphone-enabled CR program in a population of veterans. Qualifying veterans were prospectively enrolled in a single-arm, nonrandomized feasibility study of a smartphone-enabled, home-based CR program, featuring an app with daily reminders to exercise, log vitals, and review educational materials. A coach remotely monitored patients through an online dashboard and scheduled telephone visits. Clinical end points were assessed as an exploratory aim. After 21 veterans provided informed consent, 18 were enrolled and successfully completed at least 30days of the program; 13 completed the entire 12-week intervention. Mean (standard deviation) age was 62 (7) years and 96% were male. Program completers logged a mean (standard deviation) of 3.5 (1.4) exercise sessions and 150 (86) exercise minutes per week. The majority (84%) of program completers reported being satisfied overall with the program. Mean functional capacity improved by 1.0 metabolic equivalents (5.3 to 6.3, 95% confidence interval 0.3 to 1.7; p = 0.008) and mean systolic blood pressure at rest improved by 9.6mm Hg (mean difference 9.6, 95% confidence interval -19.0 to -0.7; p = 0.049) among completers. Smartphone-enabled, home-based CR is feasible in veterans with heart disease and is associated with moderate to high levels of engagement and patient satisfaction.

A systematic review of the effect of mobile health on cardiac rehabilitation among coronary heart disease patients

Objective

Mobile health (mHealth) provides an innovative and effective approach to promote prevention and management of coronary heart disease. However, the magnitude of its effects is unclear. The aim of this systematic review was to examine the impact of mHealth-based cardiac rehabilitation outcomes among coronary heart disease patients.

Methods

Medline, CINAHL, Embase, PubMed, Google Scholar, NICE, and Cochrane library were searched for randomized controlled trials published between January 2002 and March 2017 which compared mHealth with conventional cardiac rehabilitation programs among coronary heart disease patients.

Results

Eight articles were included in this review. The impact of mHealth interventions on physical activity, medicine adherence, smoking cessation, level of anxiety, and quality of life was inconsistent among the articles.

Conclusions

Further research is needed to conclusively determine the impact of mHealth interventions on cardiac rehabilitation outcomes. The limitations of the included studies (e.g., inadequate sample size, failure to address the core components of cardiac rehabilitation programs, and lack of theory-based design) should be taken into account when designing future studies.

The effect of community-based interventions for cardiovascular disease secondary prevention on behavioural risk factors

Cardiovascular disease (CVD) is the leading cause of death worldwide, and its prevalence is increasing; with limited healthcare resources, secondary prevention programmes outside traditional hospital settings are needed, but their effectiveness is unclear. We aimed to assess the effectiveness of secondary prevention cardiovascular risk reduction programmes delivered in venues situated within the community on modification of behavioural risk factors. We searched five databases (MEDLINE, EMBASE, CINAHL, PsycINFO, Cochrane library) to identify trials of health behaviour interventions for adults with CVD in community-based venues. Primary outcomes were changes in physical activity, diet, smoking and/or alcohol consumption. Two reviewers independently assessed articles for eligibility and risk of bias; statistical analysis used Revman v5.3. Of 5905 articles identified, 41 articles (38 studies) (n = 7970) were included. Interventions were mainly multifactorial, educational, psychological and physical activity-based. Meta-analyses identified increased steps/week (Mean Difference (MD): 7480; 95% CI 1,940, 13,020) and minutes of physical activity/week (MD: 59.96; 95% CI 15.67, 104.25) associated with interventions. There was some evidence for beneficial effects on peak VO₂, blood pressure, total cholesterol and mental health. Variation in outcome measurements reported for other behavioural risk factors limited our ability to perform meta-analyses. Effective interventions were based in homes, general practices or outpatient settings, individually tailored and often multicomponent with a theoretical framework. Our review identified evidence that interventions for secondary CVD prevention, delivered in various community-based venues, have positive effects on physical activity; such opportunities should be promoted by health professionals.

Quality Measurement and Improvement Study of Surgical Coronary Revascularization: Medication Adherence (MISSION-2)

Background

Secondary preventive therapies play a key role in the prevention of adverse outcomes after coronary artery bypass grafting (CABG). However, medication adherence after CABG is often poor, and conventional interventions for improving adherence have limited success. With increasing penetration of smartphones, health-related smartphone applications might provide an opportunity to improve adherence. Carefully designed trials are needed to provide reliable evidence for the use of these applications in patients after CABG.

Methods

The Measurement and Improvement Studies of Surgical Coronary Revascularization: Medication Adherence (MISSION-2) study is a multicenter randomized controlled trial, aiming to randomize 1000 CABG patients to the intervention or control groups in a 1:1 ratio. We developed the multifaceted, patient-centered, smartphone-based Heart Health Application to encourage medication adherence in the intervention group through a health self-management program initiated during hospital admission for CABG. The application integrated daily scheduled reminders to take the discharge medications, cardiac educational materials, a dynamic dashboard to review cardiovascular risk factors and secondary prevention targets, and weekly questionnaires with interactive feedback. The primary outcome was secondary preventive medication adherence measured by the Chinese version of the 8-item Morisky Medication Adherence Scale at 6 months after randomization. Secondary outcomes included all-cause death, cardiovascular rehospitalization, and a composite of death, myocardial infarction, stroke, and repeat revascularization.

Discussion

Findings will not only provide evidence regarding the feasibility and effectiveness of the described intervention for improving adherence to CABG secondary preventive therapies but also explore a model for outpatient health self-management that could be translated to various chronic diseases and widely disseminated across resource-limited settings.

Trial Registration

https://clinicaltrials.gov (NCT02432469).

Is there an app for that? Mobile phones and secondary prevention of cardiovascular disease

PURPOSE OF REVIEW

Advances in technology coupled with increased penetration of mobile phones and smart devices are rapidly changing healthcare delivery. Mobile phone applications ('apps'), text messages, and Internet platforms used alone or in combination are now providing interventions targeting people with multiple cardiovascular risk factors. The present article will review the emerging evidence regarding apps and discuss their potential role in providing secondary prevention interventions via mobile phones.

RECENT FINDINGS

Seven recent randomized controlled trials used text messages or apps for six to 12 months, with or without differing combinations of other technology platforms. All studies, involved cardiac and diabetes populations, and demonstrated at least one positive improvement to cardiovascular risk factor profiles. When measured, acceptability of the intervention was high.

SUMMARY

Mobile apps and technology can deliver positive outcomes in the management of cardiovascular risk factors. However, because of the complexity of combination interventions, it is difficult to determine the 'active' ingredient. A future challenge for researchers and clinicians will be to respond quickly to these rapidly evolving interventions in order to ensure the delivery of effective, evidence-based outcomes.

Smartphones in the secondary prevention of cardiovascular disease: a systematic review

Background

Cardiac Rehabilitation (CR) and secondary prevention are effective components of evidence-based management for cardiac patients, resulting in improved clinical and behavioural outcomes. Mobile health (mHealth) is a rapidly growing health delivery method that has the potential to enhance CR and heart failure management. We undertook a systematic review to assess the evidence around mHealth interventions for CR and heart failure management for service and patient outcomes, cost effectiveness with a view to how mHealth could be utilized for rural, remote and Indigenous cardiac patients.

Methods

A comprehensive search of databases using key terms was conducted for the years 2000 to August 2016 to identify randomised and non-randomised trials utilizing smartphone functionality and a model of care that included CR and heart failure management. Included studies were assessed for quality and risk of bias and data extraction was undertaken by two independent reviewers.

Results

Nine studies described a mix of mHealth interventions for CR (5 studies) and heart failure (4 studies) in the following categories: feasibility, utility and uptake studies; and randomised controlled trials. Studies showed that mHealth delivery for CR and heart failure management is feasible with high rates of participant engagement, acceptance, usage, and adherence. Moreover, mHealth delivery of CR was as effective as traditional centre-based CR (TCR) with significant improvement in quality of life. Hospital utilization for heart failure patients showed inconsistent reductions. There was limited inclusion of rural participants.

Conclusion

Mobile health delivery has the potential to improve access to CR and heart failure management for patients unable to attend TCR programs. Feasibility testing of culturally appropriate mHealth delivery for CR and heart failure management is required in rural and remote settings with subsequent implementation and evaluation into local health care services.

Electronic supplementary material

The online version of this article (10.1186/s12872-018-0764-x) contains supplementary material, which is available to authorized users.

Using the Medical Research Council framework for development and evaluation of complex interventions in a low resource setting to develop a theory-based treatment support intervention delivered via SMS text message to improve blood pressure control

Background

Several frameworks now exist to guide intervention development but there remains only limited evidence of their application to health interventions based around use of mobile phones or devices, particularly in a low-resource setting. We aimed to describe our experience of using the Medical Research Council (MRC) Framework on complex interventions to develop and evaluate an adherence support intervention for high blood pressure delivered by SMS text message. We further aimed to describe the developed intervention in line with reporting guidelines for a structured and systematic description.

Methods

We used a non-sequential and flexible approach guided by the 2008 MRC Framework for the development and evaluation of complex interventions.

Results

We reviewed published literature and established a multi-disciplinary expert group to guide the development process. We selected health psychology theory and behaviour change techniques that have been shown to be important in adherence and persistence with chronic medications. Semi-structured interviews and focus groups with various stakeholders identified ways in which treatment adherence could be supported and also identified key features of well-regarded messages: polite tone, credible information, contextualised, and endorsed by identifiable member of primary care facility staff. Direct and indirect user testing enabled us to refine the intervention including refining use of language and testing of interactive components.

Conclusions

Our experience shows that using a formal intervention development process is feasible in a low-resource multi-lingual setting. The process enabled us to pre-test assumptions about the intervention and the evaluation process, allowing the improvement of both. Describing how a multi-component intervention was developed including standardised descriptions of content aimed to support behaviour change will enable comparison with other similar interventions and support development of new interventions. Even in low-resource settings, funders and policy-makers should provide researchers with time and resources for intervention development work and encourage evaluation of the entire design and testing process.

Trial registration

The trial of the intervention is registered with South African National Clinical Trials Register number (SANCTR DOH-27-1212-386; 28/12/2012); Pan Africa Trial Register (PACTR201411000724141; 14/12/2013); ClinicalTrials.gov (NCT02019823; 24/12/2013).