Impact of wearable physical activity monitoring devices with exercise prescription or advice in the maintenance phase of cardiac rehabilitation: systematic review and meta-analysis

Adherence Trends to Physical Activity Guidelines in Adults With Cardiovascular Diseases and the Impact of Wearables on Adherence: Findings From a National Representative Sample

BACKGROUND

Physical activity (PA) is crucial for primary and secondary prevention of cardiovascular diseases (CVDs); however, adherence to PA guidelines remains challenging.

OBJECTIVES

We examined adherence trends to PA guidelines among adults with CVD and the effects of engagement with wearables on adherence.

METHODS

We used data from 3 cycles of the Health Information National Trends Survey collected in 2019, 2020, and 2022. Adults 18 years or older with a self-reported history of CVD were included in the study. Adherence to PA guidelines was measured as self-reported engagement in at least 150 min/wk of moderate-intensity aerobic PA and a minimum of 2 d/wk of muscle-strengthening activity. Engagement with wearables was assessed as the use of wearables within the past 12 months and the frequency of use in the past month. Weighted multivariate logistic regression was used to examine the effect of engagement on adherence to the PA guidelines.

RESULTS

The sample comprised 1540 respondents. The estimated proportions of adults with CVD who adhered to aerobic PA guidelines were 22.9% (95% confidence interval [CI], 16.8-27.8), 29.6% (95% CI, 21.8-35.4), and 27.2% (95% CI, 21.8-30.0) in 2019, 2020, and 2022, respectively. In addition, 24.0% (95% CI, 18.4-29.7), 25.6% (95% CI, 18.9-32.3), and 26.8% (95% CI, 21.1-32.4) adhered to muscle-strengthening activity guidelines in 2019, 2020, and 2022, respectively. There were no significant changes in adherence trends for either aerobic (odds ratio [OR], 1.12; P = .228) or muscle-strengthening (OR, 1.07; P = .508) activities in the included years. The use of wearables was positively associated with adherence to aerobic PA (OR, 2.72; P = .023) and muscle-strengthening activity (OR, 2.85; P = .020) in the cumulative years.

CONCLUSIONS

Adherence to PA guidelines among adults with CVD remains consistently low. However, the use of wearables may be beneficial for promoting adherence.

Wearable Devices for Exercise Prescription and Physical Activity Monitoring in Patients with Various Cardiovascular Conditions

As wearable technologies have become increasingly affordable, accessible, and practical, an increasing number of people with cardiovascular disease are beginning to use consumer-grade devices. Common health and wellness metrics reported by wearable devices include heart rate, heart rhythm, and step count, which may afford opportunities to assess cardiovascular conditions, prescribe more personalized exercise for enhanced engagement, and monitor physical activity adherence in patients with cardiovascular disease. This narrative review discusses the application of wearable devices in patients with coronary artery disease, heart failure, atrial fibrillation (AF), cardiac implantable electric devices, and peripheral artery disease in different cardiovascular rehabilitation settings (eg, supervised and home-based). Available literature suggests that, when combined with telemonitoring, wearable devices can increase physical activity participation, thereby improving peak oxygen consumption (V ˙ O2peak) and quality of life (QoL) in patients with coronary artery disease, enhancing physical function and QoL in patients with heart failure, and increasing walking capacity andV ˙ O2peak in patients with peripheral artery disease. Wearable devices can also detect AF vs sinus rhythm, guide exercise timing in patients with AF, and monitor safe exercise intensity in patients equipped with cardiac implantable electric devices. Healthcare professionals can promote physical activity by incorporating wearable devices, which can help motivate device users by providing real-time feedback on their behaviours. Commercially available wearable devices have the potential to enhance engagement in physical activity, thereby augmenting the established effects of exercise programs onV ˙ O2peak, functional capacity, and QoL in patients with various cardiovascular conditions.

Telehealth intervention involving the HEARTS Technical Package and the additional use of an activity monitor to increase physical activity level post-stroke: Protocol for a feasibility randomized controlled trial

BACKGROUND

Low physical activity level is a common risk factor for recurrent stroke. Feasibility studies show behavior change interventions can increase physical activity participation, but face barriers (e.g., home visits or internet access). Low-cost telehealth approaches, like telephone calls, may overcome these challenges. Another low-cost strategy involves motivational tools supporting "Behavioral Regulation," such as physical activity monitors. However, evidence is insufficient to support their use in increasing physical activity levels post-stroke. A systematic review suggests integrating these devices into multifaceted behavior change interventions (e.g., the 5As brief intervention outlined in the HEARTS Technical Package) may enhance their effectiveness. Combined with physical activity monitors and telephone follow-up, this approach has proven feasible for individuals post-stroke. These findings underscore the need to explore combining the 5As brief intervention with physical activity monitors to assess potential added benefits. This feasibility randomized controlled trial (RCT) study will investigate whether the telehealth intervention (by telephone call) combining the 5As brief intervention, as outlined in the HEARTS Technical Package, and physical activity monitoring, compared to a control group receiving only the 5As brief intervention, is feasible and supports a fully powered RCT.

METHODS

A feasibility RCT study, with blinded assessment, will assign 24 individuals post-stroke (diagnosed ≥ 6 months), aged ≥ 18 years, inactive, able to walk 10 meters independently, and medically approved for physical activity, to experimental (n = 12) or control group (n = 12). Both groups will undergo the 5As brief intervention (Ask, Advise, Assess, and Assist delivered face-to-face, and Arrange via telephone call follow-up), for 12 weeks, with the experimental group also using a physical activity monitor. Outcomes include feasibility of recruitment, intervention, measurement, and blinding the outcome assessor, cost and clinical outcomes.

DISCUSSION

The intervention aligns with stroke secondary prevention recommendations and utilizes low-cost telehealth approaches. This study will contribute to defining future RCT phases.

TRIAL REGISTRATION

ClinicalTrials.gov NCT06068036.

Cardiorespiratory fitness in a population with different glucose metabolic statuses: low cardiorespiratory fitness increases the risk of early abnormal glucose metabolism

BACKGROUND

Low cardiorespiratory fitness (CRF) is a risk factor for many chronic diseases. This study aimed to evaluate the CRF of a sample of adults with different glucose tolerance statuses to explore its relationship with early abnormal glucose metabolism according to sex.

METHODS

A total of 93 participants were assigned to three groups, i.e. the normal glucose tolerance (NGT) group, impaired glucose regulation (IGR) group and new-onset type 2 diabetes mellitus (T2DM) group, through an oral glucose tolerance test. Cardiopulmonary exercise testing was performed to evaluate the participants' CRF. The physical measurements (including height, weight, systolic blood pressure [SBP] and diastolic blood pressure) and laboratory test results (including fasting plasma glucose and two-hour plasma glucose [2h-PG]) of all participants were collected. Partial correlation, multiple linear regression (stepwise method) and logistic regression were used to analyse the data.

RESULTS

Compared to the males with NGT, those with T2DM or IGR had a lower exercise time (P=0.044), anaerobic threshold (AT) oxygen uptake (VO2) (P=0.009), maximum VO2/kg (P=0.041) and oxygen uptake efficiency slope (P=0.002). The male participants with T2DM had lower AT power (P=0.001) than those with IGR or NGT. Compared to the females with NGT, the AT heart rate (HR) (P=0.003), AT SBP (P=0.002) and maximum VO2/kg (P=0.039) were lower in the female T2DM and IGR groups. The multiple linear regression (stepwise method) analyses showed that the maximum VO2/kg (β=-0.268, P=0.026) and one-minute HR recovery (β=-0.239, P=0.039) of the females improved the prediction of the 2h-PG when entered in the model. The logistic analysis results indicated that the VO2 max of the male participants was related to pre-diabetes (β=-0.003, P=0.024) and that their AT power was associated with new-onset diabetes (β=-0.053, P=0.010). Meanwhile, the AT SBP of the female participants was related to pre-diabetes (β=0.120, P=0.019), and their AT HR was related to new-onset diabetes (β=-0.102, P=0.014).

CONCLUSIONS

Low CRF is associated with abnormal glucose metabolism. The CRF is closely associated with the 2h-PG after glucose load and is an important risk factor for pre-diabetes and new-onset diabetes.

Results of an Organization-wide Physical Activity Promotion Intervention Within a Very Large Academic Health Care System

Although healthcare workers may be aware of the risks of physical inactivity, their levels of physical activity (PA) are similar to those of all US adults, with less than half engaging in sufficient PA. The purpose of this health promotion was to encourage daily PA among employees in a large academic healthcare system. We also tested whether individualized progress updates further influenced PA. This 10-week program was available to all employees of NYU Langone Health. Employees could sync their phone or accelerometer via app or web browser to count.it - the vendor chosen to monitor and manage step counts. Participants were asked to voluntarily provide basic information (age, sex, job role, work location) and complete the Physical Activity Vital Sign (minutes/week and intensity of PA) at enrollment and 10 weeks. For 10 weeks, participants were sent a message through their employee 'MyChart' portal with a link to information on the benefits of PA, and a reminder of that week's step-count challenge. Those meeting criteria for weekly challenges were included in gift card raffles. Participants were randomized 1:1 to receive the standard message ± additional emails detailing their progress. 3528 employees registered to participate (8% of all employees) although active users diminished over time (1225 at week 10). Average daily steps remained stable throughout (7319 + 4540 in week 1, 7229 + 5010 in week 10). Although there was no difference in any individual week, receipt of personalized feedback was associated with significantly higher average step counts throughout the 10-wk intervention as a whole (P = 0.01). Age and an urban work location were positively associated with steps, while female sex and a clerical job role were negatively associated with steps counts (all P < 0.005). Our findings provide important insight for workplace interventions to promote PA. They further suggest specific groups that may benefit from targeted efforts.

Using the EPIS Framework to Implement a Physical Activity Promotion Intervention at a Large Academic Healthcare System

OBJECTIVES

This study aimed to describe the implementation of a workplace health promotion to address low levels of physical activity (PA).

METHODS

Using the Exploration, Preparation, Implementation, Sustainment (EPIS) framework, we implemented and evaluated a 10-week workplace step-count challenge to promote PA. All health system employees invited to participate. Data were collected on the exploration, preparation, and implementation phases.

RESULTS

During exploration, we recognized inadequate PA among employees. Meetings with key personnel were held to determine details of the health promotion and obtain support. We pursued a step-count PA intervention, capitalizing on employee ownership of smartphones with accelerometers. Vendors to host the intervention were evaluated. All employees were invited to participate. Participants received weekly messages about improving PA and notifications of weekly challenges. Exit interviews provided feedback and suggestions.

CONCLUSIONS

A workplace health promotion focused on employee PA is feasible using EPIS.

Resting Heart Rate and Associations With Clinical Measures From the Project Baseline Health Study: Observational Study

BACKGROUND

Though widely used, resting heart rate (RHR), as measured by a wearable device, has not been previously evaluated in a large cohort against a variety of important baseline characteristics.

OBJECTIVE

This study aimed to assess the validity of the RHR measured by a wearable device compared against the gold standard of ECG (electrocardiography), and assess the relationships between device-measured RHR and a broad range of clinical characteristics.

METHODS

The Project Baseline Health Study (PHBS) captured detailed demographic, occupational, social, lifestyle, and clinical data to generate a deeply phenotyped cohort. We selected an analysis cohort within it, which included participants who had RHR determined by both ECG and the Verily Study Watch (VSW). We examined the correlation between these simultaneous RHR measures and assessed the relationship between VSW RHR and a range of baseline characteristics, including demographic, clinical, laboratory, and functional assessments.

RESULTS

From the overall PBHS cohort (N=2502), 875 (35%) participants entered the analysis cohort (mean age 50.9, SD 16.5 years; n=519, 59% female and n=356, 41% male). The mean and SD of VSW RHR was 66.6 (SD 11.2) beats per minute (bpm) for female participants and 64.4 (SD 12.3) bpm for male participants. There was excellent reliability between the two measures of RHR (ECG and VSW) with an intraclass correlation coefficient of 0.946. On univariate analyses, female and male participants had similar baseline characteristics that trended with higher VSW RHR: lack of health care insurance (both P<.05), higher BMI (both P<.001), higher C-reactive protein (both P<.001), presence of type 2 diabetes mellitus (both P<.001) and higher World Health Organization Disability Assessment Schedule (WHODAS) 2.0 score (both P<.001) were associated with higher RHR. On regression analyses, within each domain of baseline characteristics (demographics and socioeconomic status, medical conditions, vitals, physical function, laboratory assessments, and patient-reported outcomes), different characteristics were associated with VSW RHR in female and male participants.

CONCLUSIONS

RHR determined by the VSW had an excellent correlation with that determined by ECG. Participants with higher VSW RHR had similar trends in socioeconomic status, medical conditions, vitals, laboratory assessments, physical function, and patient-reported outcomes irrespective of sex. However, within each domain of baseline characteristics, different characteristics were most associated with VSW RHR in female and male participants.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03154346; https://clinicaltrials.gov/study/NCT03154346.

Retrospective Comparison of Outcomes and Cost of Virtual Versus Center-Based Cardiac Rehabilitation Programs

BACKGROUND

Despite robust evidence supporting an association with improved outcomes in eligible patients, cardiac rehabilitation (CR) remains underused, with a minority of eligible patients participating. Virtual cardiac rehabilitation (VCR) has been proposed as an alternative to traditional center-based CR (CBCR) to improve usage rates. However, data supporting the efficacy and cost-effectiveness of VCR are limited. In the present study, we compared the outcomes and cost of a VCR versus traditional CBCR program.

METHODS AND RESULTS

In a retrospective cohort study comparing VCR versus CBCR, CBCR data were collected from a period of January 2018 to September 2023. VCR data were collected from program initiation in July 2021 to September 2023. Primary health outcomes measured were 1-year mortality rates, recurrent myocardial infarction, all-cause hospital readmission, and emergency department visits. Primary cost outcomes were analyzed as cost ratios related to VCR versus CBCR assessing total medical costs allowed, pharmacy costs, and total costs of care over the 12 months post-CR enrollment. VCR was associated with a significant reduction in 1-year all-cause hospital readmission (incident rate ratio [IRR], 0.616 [95% CI, 0.489-0.777], P<0.001) and ED admission (IRR, 0.557 [95% CI, 0.452-0.687], P<0.001) at 1 year. The IRR of myocardial infarction and all-cause mortality did not significantly differ between VCR and CBCR. In addition, VCR was associated with significant reductions in medically related (cost ratio, 0.814 [95% CI, 0.690-0.960], P=0.0144) and total costs allowed (cost ratio, 0.838 [95% CI, 0.725-0.970], P=0.0176).

CONCLUSIONS

VCR is a viable alternative to CBCR with at least comparable efficacy and cost, and as such, represents a key mechanism for improving access to and participation in CR for eligible patients.

Use of wearable devices to monitor post-operative activity following cardiac surgery: a systematic scoping review

AIMS

There is an emerging trend of using wearable digital technology to monitor patient activity levels in acute care contexts. However, the overall extent and quality of evidence for their use in acute cardiac surgery care are unclear. The purpose of this systematic scoping review was to evaluate current literature regarding the use of wearable activity trackers/accelerometers to monitor patient activity levels in the first 30 days following cardiac surgery.

METHOD AND RESULTS

A systematic scoping review was conducted. A search of CINAHL and MEDLINE Complete databases identified all peer reviewed research evidence published in English between 2010 and 2023. Studies evaluating the use of wearable technology in adults who had undergone coronary artery bypass graft surgery and valve replacement were included. Study data were summarized thematically. A total of 853 citations were identified. Once duplicates were removed, 816 studies were screened by title and abstract, 54 full-text studies were assessed for eligibility, and 11 studies were included. Accelerometers were able to capture changing exercise and physical activity levels over an acute care admission. Device use was acceptable to clinicians and patients. Low activity levels in the early post-operative period were associated with longer length of stay and higher 30-day readmissions.

CONCLUSION

Wearable devices are acceptable and feasible to use in acute care. The use of wearable activity trackers by acute cardiac patients may increase patient participation in exercise and identify more sedentary patients who are a greater risk of increased length of stay and hospital readmission.

Unlocking Tomorrow's Health Care: Expanding the Clinical Scope of Wearables by Applying Artificial Intelligence

As an integral aspect of health care, digital technology has enabled modelling of complex relationships to detect, screen, diagnose, and predict patient outcomes. With massive data sets, artificial intelligence (AI) can have marked effects on 3 levels: for patients, clinicians, and health systems. In this review, we discuss contemporary AI-enabled wearable devices undergoing research in the field of cardiovascular medicine. These include devices such as smart watches, electrocardiogram patches, and smart textiles such as smart socks and chest sensors for diagnosis, management, and prognostication of conditions such as atrial fibrillation, heart failure, and hypertension as well as monitoring for cardiac rehabilitation. We review the evolution of machine learning algorithms used in wearable devices from random forest models to the use of convolutional neural networks and transformers. We further discuss frameworks for wearable technologies such as the V3-stage process of verification, analytical validation, and clinical validation as well as challenges of AI integration in medicine such as data veracity, validity, and security and provide a reference framework to maintain fairness and equity. Last, clinician and patient perspectives are discussed to highlight the importance of considering end-user feedback in development and regulatory processes.

Validation of activity trackers to estimate energy expenditure in older adults with cardiovascular risk factors

OBJECTIVES

To compare different types of activity trackers recording physical activity energy expenditure (PAEE) and examine their criterion validity against indirect calorimetry (IC) as the gold standard in adults over 60 years of age with a special focus on women with cardiovascular risk.

DESIGN

Synchronous registrations of PAEE were performed with up to four different devices to determine criterion validity against IC while participants performed a protocol of simulated activities in a laboratory setting.

METHOD

Thirty-four participants (25 women, 9 men) with at least a light cardiac risk performed a protocol of simulated activities in a laboratory setting (daily living activities, cycle ergometer test). PAEE was simultaneously assessed by IC, two research-grade activity trackers (ActiGraph-wGT3X-BT and Actiheart-4) and two consumer-level activity trackers (OMRON pedometer and Fitbit Charge-3). Tracker-derived PAEE was compared with PAEE calculated from IC descriptively and by Bland-Altman plots.

RESULTS

The ActiGraph (0.7 ± 0.4 kcal/min), the Actiheart (1.1 ± 0.6 kcal/min) and the OMRON (0.8 ± 0.6 kcal/min) underestimated, while the Fitbit (3.4 ± 1.2 kcal/min) overestimated PAEE compared to IC-PAEE (2.0 ± 0.5 kcal/min). The Bland-Altman limits of agreement (LoA) against IC were +0.5/+2.2 kcal/min for the ActiGraph, -0.3/+2.1 kcal/min for the Actiheart, -3.7/+1.0 kcal/min for the Fitbit, and -0.5/+2.9 kcal/min for the OMRON. The magnitude of the deviation varied considerably depending on the activity (e.g. walking, cleaning, cycle ergometer test).

CONCLUSIONS

The research-grade activity trackers estimated PAEE with higher validity than the commercially available activity trackers. The partly very wide LoA have to be critically considered when assessing PAEE in the context of health service research, as individual Physical Activity behaviour may be under- or overestimated.

Assessing the current utilization status of wearable devices in clinical research

BACKGROUND/AIMS

Information regarding the use of wearable devices in clinical research, including disease areas, intervention techniques, trends in device types, and sample size targets, remains elusive. Therefore, we conducted a comprehensive review of clinical research trends related to wristband wearable devices in research planning and examined their applications in clinical investigations.

METHODS

As this study identified trends in the adoption of wearable devices during the planning phase of clinical research, including specific disease areas and targeted number of intervention cases, we searched ClinicalTrials.gov-a prominent platform for registering and disseminating clinical research. Since wrist-worn devices represent a large share of the market, we focused on wrist-worn devices and selected the most representative models among them. The main analysis focused on major wearable devices to facilitate data analysis and interpretation, but other wearables were also surveyed for reference. We searched ClinicalTrials.gov with the keywords "ActiGraph,""Apple Watch,""Empatica,""Fitbit,""Garmin," and "wearable devices" to obtain studies published up to 21 August 2022. This initial search yielded 3214 studies. After excluding duplicate National Clinical Trial studies (the overlap was permissible among different device types except for wearable devices), our analysis focused on 2930 studies, including simple, time-series, and type-specific assessments of various variables.

RESULTS

Overall, an increasing number of clinical studies have incorporated wearable devices since 2012. While ActiGraph and Fitbit initially dominated this landscape, the use of other devices has steadily increased, constituting approximately 10% of the total after 2015. Observational studies outnumbered intervention studies, with behavioral and device-based interventions being particularly prevalent. Regarding disease types, cancer and cardiovascular diseases accounted for approximately 20% of the total. Notably, 114 studies adopted multiple devices simultaneously within the context of their clinical investigations.

CONCLUSIONS

Our findings revealed that the utilization of wearable devices for data collection and behavioral interventions in various disease areas has been increasing over time since 2012. The increase in the number of studies over the past 3 years has been particularly significant, suggesting that this trend will continue to accelerate in the future. Devices and their evaluation methods that have undergone thorough validation, confirmed their accuracy, and adhered to established legal regulations will likely assume a pivotal role in evaluations, allowing for remote clinical trials. Moreover, behavioral intervention therapy utilizing apps is becoming more extensive, and we expect to see more examples that will lead to their approval as programmed medical devices in the future.

Optimisation of Remote Monitoring Programmes in Heart Failure: Evaluation of Patient Drop-Out Behaviour and Healthcare Professionals' Perspectives

Heart failure (HF) is a growing epidemic, affecting millions of people worldwide, and is a major cause of mortality, morbidity, and impaired quality of life. Traditional cardiac rehabilitation is a valuable approach to the physical and quality-of-life recovery of patients with cardiovascular disease. The innovative approach of remote monitoring through telemedicine offers a solution based on modern technologies, enabling continuous collection of health data outside the hospital environment. Remote monitoring devices present challenges that could adversely affect patient adherence, resulting in the risk of dropout. By applying a cognitive-behavioral model, we aim to identify the antecedents of dropout behavior among patients adhering to traditional cardiac rehabilitation programs and remote monitoring in order to improve the latter. Our study was conducted from October 2023 to January 2024. In the first stage, we used data from literature consultation. Subsequently, data were collected from the direct experience of 49 health workers related to both remote monitoring and traditional treatment, recruited from the authors' workplace. Results indicate that patients with cardiovascular disease tend to abandon remote monitoring programs more frequently than traditional cardiac rehabilitation therapies. It is critical to design approaches that take these barriers into account to improve adherence and patient satisfaction. This analysis identified specific antecedents to address, helping to improve current monitoring models. This is crucial to promote care continuity and to achieve self-management by patients in the future.

Algorithm for managing the safety of remote cardiac rehabilitation in the integrated telemedicine system "IS-Cardio"

Aim. To testing the safety algorithm of remote cardiac rehabilitation (RCR) programs performed on the basis of the integrated telemedicine system (TMS) "IS-Cardio".

Material and methods. The object of a single-center pilot study was the safety algorithm for home physical training (PT) programs embedded in the TMS "ISCardio" cardiac rehabilitation module. Its functionality ensured the implementation of 12-week aerobic PT programs with an intensity of 55-70%, duration 90-300 min/week and a target level of individual exercise tolerance of 8-12 on the 6-20 Borg scale. The number of adverse events was assessed, defined as an individual exercise tolerance level of ³13.

Results. The study included 33 patients (men, 75%; mean age, 56±8 years). The activity of patients in the RCR was 2,4±0,7 РT per week with a total duration of 56,5±29,8 min/week. Twelve patients (39,6%) fully completed the PT program, exercising at least 3 times/week for at least 30 min/session. One adverse event was recorded, which required extraordinary transmission of blood pressure, heart rate, ECG recording and remote consultation.

Conclusion. The use of TMS with a computerized module for monitoring PT parameters makes it possible to safely perform RCR in patients with cardiovascular disease. The safety of РT programs using an algorithm providing stopping the program with subsequent remote consultation should be ensured. The necessary components of TMS that determine the safety of RCR are the initial stratification of patients, remote monitoring based on self-monitoring devices, and a feedback function.

Feasibility Study of Using the Integrated Telemedicine Platform “IS-cardio” for Outpatient Cardiological Rehabilitation: Single-Centered Cohort Study

INTRODUCTION. The implementation of remote cardiac rehabilitation (RCR) technology based on telemedicine platforms (TMP) requires a preliminary assessment of the feasibility of use. AIM. A preliminary study of the feasibility of using the integrated TMP “IS-cardio” to perform RCR in patients with cardiovascular diseases (CVD) in the context of need, feasibility and acceptability. MATERIALS AND METHODS. Single-center cohort study of patients (n = 33; 75 % men; mean age 56 ± 8 years) with CVD. Testing of the TMP «IS-cardio» was carried out during 12-week physical training (PT) programs with an intensity of 55 %. Feasibility was assessed according to the following criteria: need, feasibility, acceptability. Data on need and acceptability were obtained from a patient survey. Feasibility was assessed as the proportion of patients completing RCR. Remote monitoring was performed using heart rate, blood pressure, electrocardiogram and mobile application recorders. Feedback was provided in the form of electronic reports and delayed consultation. Patient satisfaction was assessed in points. RESULTS. 79.2 % of respondents were interested in telemedicine monitoring. 100 % of patients completed RCR; 12 patients (39.6 %) fully completed the PT program. The patients’ activity amounted to 2.4 ± 0.7 PT sessions per week; the average duration of PT was 56.5 ± 29.8 min/week. With a total satisfaction of 29.0 ± 3 points, the level of RCR was highly rated (3.85 ± 0.16 points) as a real solution to the problem associated with the presence of CVD (3.67 ± 0.34 points). DISCUSSION. The medical-technological solution TMP “IS-cardio”, combining the principles of traditional cardiac rehabilitation with telecardiology tools (monitoring based on digital recorders, automatic data transfer and feedback) met the criteria for the feasibility of using TMP with a similar concept. CONCLUSION. The high demand for remote monitoring, feasibility, and patient satisfaction of RCR may indicate the feasibility of its use for implementation of its programs.

Human Activity Recognition Algorithm with Physiological and Inertial Signals Fusion: Photoplethysmography, Electrodermal Activity, and Accelerometry

Inertial signals are the most widely used signals in human activity recognition (HAR) applications, and extensive research has been performed on developing HAR classifiers using accelerometer and gyroscope data. This study aimed to investigate the potential enhancement of HAR models through the fusion of biological signals with inertial signals. The classification of eight common low-, medium-, and high-intensity activities was assessed using machine learning (ML) algorithms, trained on accelerometer (ACC), blood volume pulse (BVP), and electrodermal activity (EDA) data obtained from a wrist-worn sensor. Two types of ML algorithms were employed: a random forest (RF) trained on features; and a pre-trained deep learning (DL) network (ResNet-18) trained on spectrogram images. Evaluation was conducted on both individual activities and more generalized activity groups, based on similar intensity. Results indicated that RF classifiers outperformed corresponding DL classifiers at both individual and grouped levels. However, the fusion of EDA and BVP signals with ACC data improved DL classifier performance compared to a baseline DL model with ACC-only data. The best performance was achieved by a classifier trained on a combination of ACC, EDA, and BVP images, yielding F1-scores of 69 and 87 for individual and grouped activity classifications, respectively. For DL models trained with additional biological signals, almost all individual activity classifications showed improvement (p-value < 0.05). In grouped activity classifications, DL model performance was enhanced for low- and medium-intensity activities. Exploring the classification of two specific activities, ascending/descending stairs and cycling, revealed significantly improved results using a DL model trained on combined ACC, BVP, and EDA spectrogram images (p-value < 0.05).

Implementing a Clinical Decision Support Tool to Improve Physical Activity

BACKGROUND

Currently, only about half of U.S. adults achieve current physical activity guidelines. Routine physical activity is not regularly assessed, nor are patients routinely counseled by their healthcare provider on achieving recommended levels. The three-question physical activity vital sign (PAVS) was developed to assess physical activity duration and intensity and identify adults not meeting physical activity guidelines. Clinical decision support provided via a best practice advisory in an electronic health record (EHR) system can be triggered as a prompt, reminding healthcare providers to implement the best practice intervention when appropriate. Remote patient monitoring of physical activity can provide objective data in the EHR.

OBJECTIVES

This study aimed to evaluate the feasibility and clinical utility of embedding the PAVS and a triggered best practice advisor into the EHR in an ambulatory preventive cardiology practice setting to alert providers to patients reporting low physical activity and prompt healthcare providers to counsel these patients as needed.

METHODS

Three components based in the EHR were integrated for the purpose of this study: Patients completed the PAVS through their electronic patient portal prior to an office visit, a best practice advisory was created to prompt providers to counsel patients who reported low levels of physical activity, and remote patient monitoring via Fitbit synced to the EHR provided objective physical activity data. The intervention was pilot-tested in the Epic EHR for 1 year (July 1, 2021 to June 30, 2022). Qualitative feedback on the intervention from both providers and patients was obtained at the completion of the study.

RESULTS

Monthly assessments of the use of the PAVS and best practice advisory and remote patient monitoring were completed. Patients' completion of the PAVS varied from 35% to 48% per month. The best practice advisory was signed by providers between 2% and 65% and was acknowledged by 2%-22% per month. The majority (58%) of patients were able to sync a Fitbit device to their EHR for remote monitoring.

DISCUSSION

Although uptake of each component needs improvement, this pilot demonstrated the feasibility of incorporating a physical activity promotion intervention into the EHR. Qualitative feedback provided guidance for future implementation.

Effects of small community walking intervention on physical activity, well-being, and social capital among older patients with cardiovascular disease in the maintenance phase: a randomized controlled trial

[Purpose] Older patients with cardiovascular disease should increase their physical activity and prioritize positive psychological and social approaches in the maintenance phase of their cardiac rehabilitation. This study aimed to clarify the effect of small community walking on physical activity, well-being, and social capital in older patients with cardiovascular disease in the maintenance phase. [Participants and Methods] We conducted a multicenter study in Kumamoto, Japan. We randomly divided 55 patients with cardiovascular disease into two groups: small community walking and walking alone. For three months, a registered cardiac rehabilitation instructor provided walking guidance to both groups using a wearable device. We measured physical activity, social capital, and subjective happiness before and after the intervention. [Results] Results revealed a statistically significant main effect of time on physical activity and social participation. In the subjective happiness scale, there was an association between group and time. [Conclusion] Our results suggest that walking guidance using a wearable device was beneficial in improving overall physical activity, regardless of whether the individual did small community walking or walking alone. Furthermore, small community walking intervention may effectively enhance well-being. The relationship between physical activity and social participation needs to be further investigated.

Wearable Devices to Improve Physical Activity and Reduce Sedentary Behaviour: An Umbrella Review

BACKGROUND

Several systematic reviews (SRs), with and without meta-analyses, have investigated the use of wearable devices to improve physical activity, and there is a need for frequent and updated syntheses on the topic.

OBJECTIVE

We aimed to evaluate whether using wearable devices increased physical activity and reduced sedentary behaviour in adults.

METHODS

We conducted an umbrella review searching PubMed, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, MedRxiv, Rxiv and bioRxiv databases up to February 5th, 2023. We included all SRs that evaluated the efficacy of interventions when wearable devices were used to measure physical activity in adults aged over 18 years. The primary outcomes were physical activity and sedentary behaviour measured as the number of steps per day, minutes of moderate to vigorous physical activity (MVPA) per week, and minutes of sedentary behaviour (SB) per day. We assessed the methodological quality of each SR using the Assessment of Multiple Systematic Reviews, version 2 (AMSTAR 2) and the certainty of evidence of each outcome measure using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations). We interpreted the results using a decision-making framework examining the clinical relevance and the concordances or discordances of the SR effect size.

RESULTS

Fifty-one SRs were included, of which 38 included meta-analyses (302 unique primary studies). Of the included SRs, 72.5% were rated as 'critically low methodological quality'. Overall, with a slight overlap of primary studies (corrected cover area: 3.87% for steps per day, 3.12% for MVPA, 4.06% for SB) and low-to-moderate certainty of the evidence, the use of WDs may increase PA by a median of 1,312.23 (IQR 627-1854) steps per day and 57.8 (IQR 37.7 to 107.3) minutes per week of MVPA. Uncertainty is present for PA in pathologies and older adults subgroups and for SB in mixed and older adults subgroups (large confidence intervals).

CONCLUSIONS

Our findings suggest that the use of WDs may increase physical activity in middle-aged adults. Further studies are needed to investigate the effects of using WDs on specific subgroups (such as pathologies and older adults) in different follow-up lengths, and the role of other intervention components.

Physical activity and sedentary time after lifestyle interventions at the Norwegian Healthy Life Centres

AIMS

This study evaluates long-term changes in physical activity and its associations with various predictors after a behavior change program at the Norwegian Healthy Life Centers.

BACKGROUND

Physical activity is recommended and is part of public health strategies to prevent noncommunicable diseases.

METHODS

This longitudinal cohort, based on a controlled randomized trial, studies a population of 116 Healthy Life Center participants in South-Western Norway who wore SenseWear Armbands to measure time spent in moderate to vigorous physical activity and sedentary time based on metabolic equivalents. The measurements were obtained at baseline, immediately post-intervention, and 24 months after baseline. Linear mixed model analyses were performed to assess predictors for change in physical activity and sedentary time.

FINDINGS

High physical activity levels at baseline were maintained during the 24-month study period. Young, male participants with good self-rated health, utilizing local PA facilities were most active, and young participants utilizing local facilities were also less sedentary. The participants with higher levels of education were less active initially but caught up with the difference during follow-up. A high degree of controlled regulation, characterized by bad conscience and external pressure, predicted more sedentary behavior and a trend toward being less physically active. Autonomous motivation was associated with less time spent on sedentary behaviors. People with high self-efficacy for physical activity were more sedentary initially but showed a reduction in their sedentary behavior.The study supports the importance of attending local training facilities and adopting motivation for behavioral change that is not based on guilt and external rewards. Interventions aimed at improving physical activity among people at risk for noncommunicable diseases benefit from habitual use of local training facilities, strengthening their self-perceived health and the development of internalized motivation. However, it has not been shown to mitigate social health disparities.

The effectiveness of digital tools to maintain physical activity among people with a long-term condition(s): A systematic review and meta-analysis

Objective

Given the well-accepted health benefits, it is important to identify scalable ways to support people with long-term conditions (LTCs) to remain physically active. This systematic review aimed to evaluate the effect of digital tools on the maintenance of physical activity (PA) amongst this population.

Methods

Electronic databases were searched for randomised controlled trials investigating the effect of digital tools on PA maintenance at least three months post-intervention compared with a non-digital control in participants with long-term conditions. Meta-analyses were conducted at post-intervention and longest maintenance timepoint; subgroup analyses explored the effect of the type of control. Prospero registration: CRD42022299967.

Results

Twenty-three studies (n = 5350 participants) were included, with the majority at unclear/high risk of bias. Web-based tools were commonly used (18 studies), 10 monitored PA with a sensor, and digital interventions were often combined with supervised exercise/walks. The overall meta-analysis showed no significant difference in PA between digital interventions compared with any type of control (device-based outcomes: SMD = -0.07, 95% CI [-0.35, 0.21]; self-reported outcomes: SMD = 0.11, 95% CI [-0.01, 0.24]). However, this was moderated by type of control group with subgroup analyses suggesting that the effect of digital interventions on PA surpassed that of an inactive/minimal control at post-intervention (SMD = 0.29) and maintenance timepoints (SMD = 0.24).

Conclusions

This review provides preliminary evidence that interventions incorporating digital tools may be more effective than minimal controls at supporting people with LTCs to maintain PA. Given the quality of the evidence, confidence in these findings is very low and may change with future research.

The effectiveness of digital health interventions for the maintenance of physical activity following cardiac rehabilitation: A systematic review and meta-analysis

Objective

To summarise the effectiveness of digital health maintenance interventions for subjectively and objectively measured physical activity level (PA) and physical function, fitness and health-related quality of life (HRQoL) after completion of phase II cardiac rehabilitation (CR).

Methods

We conducted a search for studies in MEDLINE, Embase, CENTRAL, and CINAHL (inception to May 2024). Independent reviewers selected and included randomised controlled trials (RCTs) using digital health interventions to maintain PA in patients with cardiovascular disease after phase II CR. Independent reviewers conducted data extraction, assessed the risk of bias using the Cochrane Risk of Bias 2 tool and rated the certainty of evidence using Grading of Recommendations Assessment, Development and Evaluation - registered at PROSPERO: CRD42023396629.

Results

From 17,455 hits, 20 RCTs with 1801 participants were included. Risk of bias for most studies reporting on PA outcomes was rated as 'some concerns'. Comparing digital health intervention with minimal intervention/usual care showed no effect of objective PA (standardised mean difference (SMD) 0.85, 95% CI: -0.07 to 1.77) and a small effect of subjective PA (SMD 0.37, 95% CI: 0.05 to 0.69) at the end of intervention both graded as very low certainty of evidence. We found very low certainty of evidence for moderate effects on physical function (SMD 0.63, 95% CI: 0.03 to 1.24), and low certainty of evidence for no effect on physical fitness (SMD 0.19, 95% CI: 0.05 to 0.34) and HRQoL (SMD 0.13, 95% CI: -0.02 to 0.28), I 2= 0.00%) at the end of intervention.

Conclusion

Digital health interventions showed a small effect on subjectively measured PA, and no effect on objective PA, physical fitness and HRQoL, but may increase physical function after CR completion. Yet, the certainty of evidence is low and higher quality studies with longer follow-up duration are needed to guide this area further.

Trends in cardiac rehabilitation rates among patients admitted for acute heart failure in Japan, 2009-2020

OBJECTIVES

To describe inpatient and outpatient cardiac rehabilitation (CR) utilization patterns over time and by subgroups among patients admitted for acute heart failure (AHF) in Japan.

BACKGROUND

Cardiac rehabilitation (CR) is a crucial secondary prevention strategy for patients with heart failure. While the number of older patients with AHF continues to rise, trends in inpatient and outpatient CR participation following AHF in Japan have not been described to date.

METHODS

We conducted a retrospective cohort study of adult patients hospitalized for AHF in Japan between April 2008 and December 2020. Using data from the Medical Data Vision database, we measured trends in inpatient and outpatient CR participation following AHF. Descriptive analyses and summary statistics for AHF patients by CR participation status were reported.

RESULTS

The analytic cohort included 88,052 patients. Among these patients, 37,810 (42.9%) participated in inpatient and/or outpatient CR. Of those, 36,431 (96.4%) participated in inpatient CR only and 1,277 (3.4%) participated in both inpatient and outpatient CR. Rates of inpatient CR rose more than 6-fold over the study period, from 9% in 2009 to 55% in 2020, whereas rates of outpatient CR were consistently low.

CONCLUSIONS

The rate of inpatient CR participation among AHF patients in Japan rose dramatically over a 12-year period, whereas outpatient CR following AHF was vastly underutilized. Further study is needed to assess the clinical effectiveness of inpatient CR and to create infrastructure and incentives to support and encourage outpatient CR.

Home-based versus centre-based cardiac rehabilitation

BACKGROUND

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

OBJECTIVES

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

SELECTION CRITERIA

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

DATA COLLECTION AND ANALYSIS

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

MAIN RESULTS

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

AUTHORS' CONCLUSIONS

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

eHealth for maintenance cardiovascular rehabilitation: a systematic review and meta-analysis

AIMS

To provide a quantitative analysis of eHealth-supported interventions on health outcomes in cardiovascular rehabilitation (CR) maintenance (phase III) in patients with coronary artery disease (CAD) and to identify effective behavioural change techniques (BCTs).

METHODS AND RESULTS

A systematic review was conducted (PubMed, CINAHL, MEDLINE, and Web of Science) to summarize and synthesize the effects of eHealth in phase III maintenance on health outcomes including physical activity (PA) and exercise capacity, quality of life (QoL), mental health, self-efficacy, clinical variables, and events/rehospitalization. A meta-analysis following the Cochrane Collaboration guidelines using Review Manager (RevMan5.4) was performed. Analyses were conducted differentiating between short-term (≤6 months) and medium/long-term effects (>6 months). Effective behavioural change techniques were defined based on the described intervention and coded according to the BCT handbook. Fourteen eligible studies (1497 patients) were included. eHealth significantly promoted PA (SMD = 0.35; 95%CI 0.02-0.70; P = 0.04) and exercise capacity after 6 months (SMD = 0.29; 95%CI 0.05-0.52; P = 0.02) compared with usual care. Quality of life was higher with eHealth compared with care as usual (SMD = 0.17; 95%CI 0.02-0.32; P = 0.02). Systolic blood pressure decreased after 6 months with eHealth compared with care as usual (SMD = -0.20; 95%CI -0.40-0.00; P = 0.046). There was substantial heterogeneity in the adapted BCTs and type of intervention. Mapping of BCTs revealed that self-monitoring of behaviour and/or goal setting as well as feedback on behaviour were most frequently included.

CONCLUSION

eHealth in phase III CR is effective in stimulating PA and improving exercise capacity in patients with CAD while increasing QoL and decreasing systolic blood pressure. Currently, data of eHealth effects on morbidity, mortality, and clinical outcomes are scarce and should be investigated in future studies.

REGISTRATION

PROSPERO: CRD42020203578.

The Association of Technology-Based Ageism with Using Digital Technology in Physical Therapy for Older Persons

Integrating digital technologies in healthcare for older adults can enhance their independence and quality of life. Nevertheless, ageism among healthcare professionals impacts treatment decisions and may deprive older patients of technology-based treatment. This study explores whether technology-specific ageism influenced physiotherapists' use of technology-based healthcare with older patients. Seventy-eight physiotherapists in Luxembourg filled out an online survey. Participants filled out the Attitudes Towards Older Adults Using Technology (ATOAUT-11) scale, Expectations Regarding Aging, attitudes towards technology use in the work environment, and whether they had not offered technology-based treatment in the past because of a patient's age. Using logistic regression, negative ATOAUT was found to predict not offering technology-based treatment, such that participants with more negative attitudes (1 standard deviation) were two times more likely not to offer treatment. Positive attitudes towards using technology in the work environment were also found to be a significant predictor. All other characteristics (gender, age, experience and percentage of patients over 50) were not predictive of not offering treatment. This study demonstrates that technology-specific ageism may lead to discrimination and deprive older persons of optimal treatment. More research is needed to identify the magnitude of ageism in using technology-based treatment and develop interventions to overcome it.

Integrating the wrist-worn tracker in cardiac rehabilitation programmes: a scoping review

Background/Aims

Physical activity has been recommended as a secondary prevention strategy to reduce the risk of recurrent adverse events and improve health. While it can be challenging for health practitioners to motivate patients to remain physically active, wrist-worn activity trackers can assist in monitoring adherence. The aim of this study was to identify and summarise the existing scientific literature on wrist-worn activity trackers monitoring physical activity among patients undergoing cardiac rehabilitation. The authors also aimed to identify evidence gaps that require further investigation.

Methods

A systematic search was conducted in the electronic databases in PubMed, Web of Science, Scopus, SPORTDiscus and the Cumulative Index to Nursing and Allied Health Literature. Method quality was appraised using the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews instrument. The study focused on any physical activity data collected by wrist-worn activity trackers in cardiac rehabilitation.

Results

A total of 19 relevant records were identified. Wrist-worn activity trackers generally improved the patient's physical activity and the validity of heart rate and step count measurements was acceptable. Some studies demonstrated improvements in exercise capacity and health-related quality of life.

Conclusions

Wrist-worn activity trackers can help to monitor patients' physical activity in cardiac rehabilitation, with potential benefits for exercise capacity and health-related quality of life. Further research is necessary to strengthen the evidence that wrist-worn activity trackers may be beneficial to evaluate clinical outcomes, determine the intervention cost, acceptability of patients and allied health professionals, as well as explore feedback, including technical issues.

Effect of digital tools in outpatient cardiac rehabilitation including home training-results of the EPICURE study

Introduction

Cardiovascular diseases are the leading cause of death worldwide and are partly caused by modifiable risk factors. Cardiac rehabilitation addresses several of these modifiable risk factors, such as physical inactivity and reduced exercise capacity. However, despite its proven short-term merits, long-term adherence to healthy lifestyle changes is disappointing. With regards to exercise training, it has been shown that rehabilitation supplemented by a) home-based exercise training and b) supportive digital tools can improve adherence.

Methods

In our multi-center study (ClincalTrials.gov Identifier: NCT04458727), we analyzed the effect of supportive digital tools like digital diaries and/or wearables such as smart watches, activity trackers, etc. on exercise capacity during cardiac rehabilitation. Patients after completion of phase III out-patient cardiac rehabilitation, which included a 3 to 6-months lasting home-training phase, were recruited in five cardiac rehabilitation centers in Austria. Retrospective rehabilitation data were analyzed, and additional data were generated via patient questionnaires.

Results

107 patients who did not use supportive tools and 50 patients using supportive tools were recruited. Already prior to phase III rehabilitation, patients with supportive tools showed higher exercise capacity (P_max = 186 ± 53 W) as compared to patients without supportive tools (142 ± 41 W, p < 0.001). Both groups improved their P_max, significantly during phase III rehabilitation, and despite higher baseline P_max of patients with supportive tools their P_max improved significantly more (ΔP_max = 19 ± 18 W) than patients without supportive tools (ΔP_max = 9 ± 17 W, p < 0.005). However, after adjusting for baseline differences, the difference in ΔP_max did no longer reach statistical significance.

Discussion

Therefore, our data did not support the hypothesis that the additional use of digital tools like digital diaries and/or wearables during home training leads to further improvement in P_max during and after phase III cardiac rehabilitation. Further studies with larger sample size, follow-up examinations and a randomized, controlled design are required to assess merits of digital interventions during cardiac rehabilitation.

Impact of wearable device-based interventions with feedback for increasing daily walking activity and physical capacities in cardiovascular patients: a systematic review and meta-analysis of randomised controlled trials

OBJECTIVE

To systematically review randomised controlled trials (RCTs) using a wearable physical activity monitoring device as an intervention to increase daily walking activity and improve physical capacities in patients with cardiovascular disease (CVD).

DESIGN

Systematic review and meta-analysis of RCTs.

DATA SOURCES

PubMed, Embase and Web of Science from inception to June 2022.

ELIGIBILITY CRITERIA

Randomised controlled studies including patients with CVD over 18 years of age at the end of a cardiac rehabilitation programme comparing an intervention group using a wearable physical activity monitoring device with feedback with usual care or with a control group receiving no feedback on their physical activity and reporting a change in the daily number of steps and/or a change in the distance covered in the 6-minute walk test (6-MWT) or a change in peak oxygen uptake (V̇O2_peak) as endpoints.

RESULTS

Sixteen RCTs were included. The intervention of wearing a physical activity monitoring device with feedback significantly improved daily number of steps compared with controls (standardised mean difference (SMD) 0.85; 95% CI (0.42; 1.27); p<0.01). The effect was greater when the duration of the intervention was less than 3 months (SMD 1.0; 95% CI (0.18; 1.82); p<0.01) than when the duration of the intervention was 3 months or longer (SMD 0.71; 95% CI (0.27; 1.16); p<0.01), but no significant interaction was found between subgroups (p=0.55). 6-MWT distance and V̇O2_peak showed only small effects (SMD 0.34; 95% CI (-0.11; 0.80); p=0.02 and SMD 0.54; 95% CI (0.03; 1.03); p=0.07, respectively).

CONCLUSION

The use of wearable physical activity monitoring devices appears to help patients with CVD to increase their daily walking activity and thus their physical activity, particularly in the short term.

PROSPERO REGISTRATION NUMBER

CRD42022300423.

Cardiac rehabilitation, physical activity, and the effectiveness of activity monitoring devices on cardiovascular patients: an umbrella review of systematic reviews

AIMS

To consolidate the evidence on the effectiveness of activity-monitoring devices and mobile applications on physical activity and health outcomes of patients with cardiovascular disease who attended cardiac rehabilitation (CR) programmes.

METHODS AND RESULTS

An umbrella review of published randomized controlled trials, systematic reviews, and meta-analyses was conducted. Nine databases were searched from inception to 9 February 2022. Search and data extraction followed the JBI methodology for umbrella reviews and PRISMA guidelines. Nine systematic reviews met the inclusion criteria, comparing outcomes of participants in CR programmes utilizing devices/applications, to patients without access to CR with devices/applications. A wide range of physical, clinical, and behavioural outcomes were reported, with results from 18 712 participants. Meta-analyses reported improvements in physical activity, minutes/week [standardized mean difference (SMD) 0.23, 95% confidence interval (CI) 0.10-0.35] and activity levels (SMD 0.29, 95% CI 0.07-0.51), and a reduction in sedentariness [risk ratio (RR) 0.54, 95% CI 0.39-0.75] in CR participants, compared with usual care. Of clinical outcomes, the risk of re-hospitalization reduced significantly (RR 0.49, 95% CI 0.27-0.89), and there was reduction (non-significant) in mortality (RR 0.27, 95% CI 0.05-1.54). From the behavioural outcomes, reviews reported improvements in smoking behaviour (RR 0.87, 95% CI 0.67-1.13) and total diet quality intake (RR 0.79, 95% CI 0.66-0.94) among CR patients.

CONCLUSIONS

The use of devices/applications was associated with increase in activity, healthy behaviours, and reductions in clinical indicators. Although most effect sizes indicate limited clinical benefits, the broad consistency of the narrative suggests devices/applications are effective at improving CR patients' outcomes.

Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?

The market for wrist-worn devices is growing at previously unheard-of speeds. A consequence of their fast commercialization is a lack of adequate studies testing their accuracy on varied populations and pursuits. To provide an understanding of wearable sensors for sports medicine, the present study examined heart rate (HR) measurements of four popular wrist-worn devices, the (Fitbit Charge (FB), Apple Watch (AW), Tomtom runner Cardio (TT), and Samsung G2 (G2)), and compared them with gold standard measurements derived by continuous electrocardiogram examination (ECG). Eight athletes participated in a comparative study undergoing maximal stress testing on a cycle ergometer or a treadmill. We analyzed 1,286 simultaneous HR data pairs between the tested devices and the ECG. The four devices were reasonably accurate at the lowest activity level. However, at higher levels of exercise intensity the FB and G2 tended to underestimate HR values during intense physical effort, while the TT and AW devices were fairly reliable. Our results suggest that HR estimations should be considered cautiously at specific intensities. Indeed, an effective intervention is required to register accurate HR readings at high-intensity levels (above 150 bpm). It is important to consider that even though none of these devices are certified or sold as medical or safety devices, researchers must nonetheless evaluate wrist-worn wearable technology in order to fully understand how HR affects psychological and physical health, especially under conditions of more intense exercise.

Remote maintenance cardiac rehabilitation (MAINTAIN): A protocol for a randomised feasibility study

Background

Long-term adherence to exercise is often poor for people with coronary heart disease (CHD) who have completed supervised, centre-based cardiac rehabilitation. The aim of this study is to assess the feasibility of a remotely prescribed, delivered and monitored cardiac rehabilitation intervention using a wearable device to support long-term adherence to exercise and physical activity during maintenance of cardiac rehabilitation.

Methods

After completing cardiac rehabilitation, 30 participants with CHD, will be randomised (1:1) to an intervention (n = 15) or a usual care group (n = 15) in a 12-month feasibility randomised controlled trial (RCT). The intervention will comprise of an exercise consultation, personalised exercise prescription delivered via a wearable activity monitor using biometric feedback, regular monitoring via check-ins, and feedback text-messages for 6-months. Participants will be assessed at baseline (following completion of cardiac rehabilitation) and at three-, six-, and 12-months post-randomisation. The primary outcome will be feasibility, including assessment of eligibility, recruitment, adherence, and acceptability. Secondary outcomes will include exercise capacity, physical activity behaviours, cardiovascular disease risk and quality of life. Semi-structured interviews will be conducted at three-, six-, and 12-months post-randomisation (and with those who drop-out) to explore the acceptability of the study intervention and procedures. A questionnaire will be offered to those who decline participation.

Discussion

The MAINTAIN study will evaluate the feasibility of conducting a future definitive multi-centre RCT testing a remotely prescribed and monitored long-term mHealth maintenance exercise programme, versus usual care, for people with CHD who have completed cardiac rehabilitation.

Trial registration number

ClinicalTrials.gov, NCT05292287. Registered on 22/03/2022.

Physical activity and sedentary behaviour following combined aerobic and resistance training in coronary artery disease patients: A randomised controlled trial

BACKGROUND

Effective training modalities and potential determinants to induce favourable changes in physical activity (PA) and sedentary behaviour (SB) remains elusive in patients with coronary artery disease.

AIMS

This study aimed to investigate the effects of high-load resistance training and low-load RT combined with aerobic training in comparison to aerobic training alone on PA and SB, and whether baseline level of SB modifies PA outcomes in coronary artery disease patients.

METHODS

We randomised 79 patients to aerobic training, low-load resistance training and aerobic training or high-load resistance training and aerobic training. PA and SB were measured using triaxial accelerometer at baseline and post-training for 8 days.

RESULTS

There was no difference between training modalities in post-training PA and SB. When stratified by baseline SB, the very sedentary patients improved SB (-52 min/day, p = 0.001) and light intensity PA (+27 min/day, p = 0.009) following intervention. The improvement in PA was greater in the very sedentary patients (SB: +27%, p = 0.002; light intensity PA: +24%, p = 0.004) and in sedentary patients (SB: +24%, p = 0.009) compared to the very active patients.

CONCLUSIONS

Post-training improvement in PA and SB was determined by baseline SB, while the addition of low-load or high-load resistance training provided no further benefits in coronary artery disease patients.

CLINICAL TRIALS REGISTRATION NUMBER

NCT04638764.

Digital Biomarker-Based Interventions: Systematic Review of Systematic Reviews

BACKGROUND

The introduction of new medical technologies such as sensors has accelerated the process of collecting patient data for relevant clinical decisions, which has led to the introduction of a new technology known as digital biomarkers.

OBJECTIVE

This study aims to assess the methodological quality and quality of evidence from meta-analyses of digital biomarker-based interventions.

METHODS

This study follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guideline for reporting systematic reviews, including original English publications of systematic reviews reporting meta-analyses of clinical outcomes (efficacy and safety endpoints) of digital biomarker-based interventions compared with alternative interventions without digital biomarkers. Imaging or other technologies that do not measure objective physiological or behavioral data were excluded from this study. A literature search of PubMed and the Cochrane Library was conducted, limited to 2019-2020. The quality of the methodology and evidence synthesis of the meta-analyses were assessed using AMSTAR-2 (A Measurement Tool to Assess Systematic Reviews 2) and GRADE (Grading of Recommendations, Assessment, Development, and Evaluations), respectively. This study was funded by the National Research, Development and Innovation Fund of Hungary.

RESULTS

A total of 25 studies with 91 reported outcomes were included in the final analysis; 1 (4%), 1 (4%), and 23 (92%) studies had high, low, and critically low methodologic quality, respectively. As many as 6 clinical outcomes (7%) had high-quality evidence and 80 outcomes (88%) had moderate-quality evidence; 5 outcomes (5%) were rated with a low level of certainty, mainly due to risk of bias (85/91, 93%), inconsistency (27/91, 30%), and imprecision (27/91, 30%). There is high-quality evidence of improvements in mortality, transplant risk, cardiac arrhythmia detection, and stroke incidence with cardiac devices, albeit with low reporting quality. High-quality reviews of pedometers reported moderate-quality evidence, including effects on physical activity and BMI. No reports with high-quality evidence and high methodological quality were found.

CONCLUSIONS

Researchers in this field should consider the AMSTAR-2 criteria and GRADE to produce high-quality studies in the future. In addition, patients, clinicians, and policymakers are advised to consider the results of this study before making clinical decisions regarding digital biomarkers to be informed of the degree of certainty of the various interventions investigated in this study. The results of this study should be considered with its limitations, such as the narrow time frame.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-10.2196/28204.

Agreement and relationship between measures of absolute and relative intensity during walking: A systematic review with meta-regression

INTRODUCTION

A metabolic equivalent (MET) is one of the most common methods used to objectively quantify physical activity intensity. Although the MET provides an 'objective' measure, it does not account for inter-individual differences in cardiorespiratory fitness. In contrast, 'relative' measures of physical activity intensity, such as heart rate reserve (HRR), do account for cardiorespiratory fitness. The purpose of this systematic review with meta-regression was to compare measures of absolute and relative physical activity intensity collected during walking.

METHODS

A systematic search of four databases (SPORTDiscus, Medline, Academic Search Premier and CINAHL) was completed. Keyword searches were: (i) step* OR walk* OR strid* OR "physical activity"; (ii) absolute OR "absolute intensity" OR mets OR metabolic equivalent OR actigraph* OR acceleromet*; (iii) relative OR "relative intensity" OR "heart rate" OR "heart rate reserve" OR "VO2 reserve" OR VO2* OR "VO2 uptake" OR HRmax* OR metmax. Categories (i) to (iii) were combined using 'AND;' with studies related to running excluded. A Bayesian regression was conducted to quantify the relationship between METs and %HRR, with Bayesian logistic regression conducted to examine the classification agreement between methods. A modified Downs and Black scale incorporating 13 questions relative to cross-sectional study design was used to assess quality and risk of bias in all included studies.

RESULTS

A total of 15 papers were included in the systematic review. A comparison of means between absolute (METs) and relative (%HRR, %HRmax, %VO2R, %VO2max, HRindex) values in 8 studies identified agreement in how intensity was classified (light, moderate or vigorous) in 60% of the trials. We received raw data from three authors, incorporating 3 studies and 290 participants. A Bayesian random intercept logistic regression was conducted to examine the agreement between relative and absolute intensity, showing agreement in 43% of all trials. Two studies had identical relative variables (%HRR) totalling 240 participants included in the Bayesian random intercept regression. The best performing model was a log-log regression, which showed that for every 1% increase in METs, %HRR increased by 1.12% (95% CI: 1.10-1.14). Specifically, the model predicts at the lower bound of absolute moderate intensity (3 METs), %HRR was estimated to be 33% (95%CI: 18-57) and at vigorous intensity (6 METs) %HRR was estimated to be 71% (38-100).

CONCLUSION

This study highlights the discrepancies between absolute and relative measures of physical activity intensity during walking with large disagreement observed between methods and large variation in %HRR at a given MET. Consequently, health professionals should be aware of this lack of agreement between absolute and relative measures. Moreover, if we are to move towards a more individualised approach to exercise prescription and monitoring as advocated, relative intensity could be more highly prioritised.

Digital Biomarker-Based Studies: Scoping Review of Systematic Reviews

BACKGROUND

Sensors and digital devices have revolutionized the measurement, collection, and storage of behavioral and physiological data, leading to the new term digital biomarkers.

OBJECTIVE

This study aimed to investigate the scope of clinical evidence covered by systematic reviews (SRs) of randomized controlled trials involving digital biomarkers.

METHODS

This scoping review was organized using the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. With the search limited to English publications, full-text SRs of digital biomarkers included randomized controlled trials that involved a human population and reported changes in participants' health status. PubMed and the Cochrane Library were searched with time frames limited to 2019 and 2020. The World Health Organization's classification systems for diseases (International Classification of Diseases, Eleventh Revision), health interventions (International Classification of Health Interventions), and bodily functions (International Classification of Functioning, Disability, and Health [ICF]) were used to classify populations, interventions, and outcomes, respectively.

RESULTS

A total of 31 SRs met the inclusion criteria. The majority of SRs studied patients with circulatory system diseases (19/31, 61%) and respiratory system diseases (9/31, 29%). Most of the prevalent interventions focused on physical activity behavior (16/31, 52%) and conversion of cardiac rhythm (4/31, 13%). Looking after one's health (physical activity; 15/31, 48%), walking (12/31, 39%), heart rhythm functions (8/31, 26%), and mortality (7/31, 23%) were the most commonly reported outcomes. In total, 16 physiological and behavioral data groups were identified using the ICF tool, such as looking after one's health (physical activity; 14/31, 45%), walking (11/31, 36%), heart rhythm (7/31, 23%), and weight maintenance functions (7/31, 23%). Various digital devices were also studied to collect these data in the included reviews, such as smart glasses, smartwatches, smart bracelets, smart shoes, and smart socks for measuring heart functions, gait pattern functions, and temperature. A substantial number (24/31, 77%) of digital biomarkers were used as interventions. Moreover, wearables (22/31, 71%) were the most common types of digital devices. Position sensors (21/31, 68%) and heart rate sensors and pulse rate sensors (12/31, 39%) were the most prevalent types of sensors used to acquire behavioral and physiological data in the SRs.

CONCLUSIONS

In recent years, the clinical evidence concerning digital biomarkers has been systematically reviewed in a wide range of study populations, interventions, digital devices, and sensor technologies, with the dominance of physical activity and cardiac monitors. We used the World Health Organization's ICF tool for classifying behavioral and physiological data, which seemed to be an applicable tool to categorize the broad scope of digital biomarkers identified in this review. To understand the clinical value of digital biomarkers, the strength and quality of the evidence on their health consequences need to be systematically evaluated.

Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses

Wearable activity trackers offer an appealing, low-cost tool to address physical inactivity. This systematic review of systematic reviews and meta-analyses (umbrella review) aimed to examine the effectiveness of activity trackers for improving physical activity and related physiological and psychosocial outcomes in clinical and non-clinical populations. Seven databases (Embase, MEDLINE, Ovid Emcare, Scopus, SPORTDiscus, the Cochrane Library, and Web of Science) were searched from database inception to April 8, 2021. Systematic reviews of primary studies using activity trackers as interventions and reporting physical activity, physiological, or psychosocial outcomes were eligible for inclusion. In total, 39 systematic reviews and meta-analyses were identified, reporting results from 163 992 participants spanning all age groups, from both healthy and clinical populations. Taken together, the meta-analyses suggested activity trackers improved physical activity (standardised mean difference [SMD] 0·3-0·6), body composition (SMD 0·7-2·0), and fitness (SMD 0·3), equating to approximately 1800 extra steps per day, 40 min per day more walking, and reductions of approximately 1 kg in bodyweight. Effects for other physiological (blood pressure, cholesterol, and glycosylated haemoglobin) and psychosocial (quality of life and pain) outcomes were typically small and often non-significant. Activity trackers appear to be effective at increasing physical activity in a variety of age groups and clinical and non-clinical populations. The benefit is clinically important and is sustained over time. Based on the studies evaluated, there is sufficient evidence to recommend the use of activity trackers.

Comparison of Home-Based vs Center-Based Cardiac Rehabilitation in Hospitalization, Medication Adherence, and Risk Factor Control Among Patients With Cardiovascular Disease

IMPORTANCE

Prior studies have suggested that participation in home-based cardiac rehabilitation (HBCR) vs center-based cardiac rehabilitation (CBCR) results in similar clinical outcomes in patients with low to moderate risk; however, outcome data from demographically diverse populations and patients who are medically complex are lacking.

OBJECTIVE

To compare hospitalizations, medication adherence, and cardiovascular risk factor control between participants in HBCR vs CBCR.

DESIGN, SETTING, AND PARTICIPANTS

This retrospective cohort study was conducted among patients in Kaiser Permanente Southern California (KPSC), an integrated health care system serving approximately 4.7 million patients, who participated in CR between April 1, 2018, and April 30, 2019, and with follow-up through April 30, 2020. Data were analyzed from January 2021 to January 2022.

EXPOSURES

Participation in 1 or more HBCR or CBCR sessions.

MAIN OUTCOMES AND MEASURES

The primary outcome was 12-month all-cause hospitalization. Secondary outcomes included all-cause hospitalizations at 30 and 90 days; 30-day, 90-day, and 12-month cardiovascular hospitalizations; and medication adherence and cardiovascular risk factor control at 12 months. Logistic regression was used to compare hospitalization, medication adherence, and cardiovascular risk factor control, with inverse probability treatment weighting (IPTW) to adjust for demographic and clinical characteristics.

RESULTS

Of 2556 patients who participated in CR (mean [SD] age, 66.7 [11.2] years; 754 [29.5%] women; 1196 participants [46.8%] with Charlson Comorbidity Index ≥4), there were 289 Asian or Pacific Islander patients (11.3%), 193 Black patients (7.6%), 611 Hispanic patients (23.9%), and 1419 White patients (55.5%). A total of 1241 participants (48.5%) received HBCR and 1315 participants (51.5%) received CBCR. After IPTW, patients who received HBCR had lower odds of hospitalization at 12 months (odds ratio [OR], 0.79; 95% CI, 0.64-0.97) but similar odds of adherence to β-blockers (OR, 1.18; 95% CI, 0.98-1.42) and statins (OR, 1.02; 95% CI, 0.84-1.25) and of control of blood pressure (OR, 0.98; 95% CI, 0.81-1.17), low-density lipoprotein cholesterol (OR, 0.98; 95% CI, 0.81-1.20), and hemoglobin A1c (OR, 0.98; 95% CI, 0.82-1.18) at 12 months compared with patients who received CBCR.

CONCLUSIONS AND RELEVANCE

These findings suggest that HBCR in a demographically diverse population, including patients with high risk who are medically complex, was associated with fewer hospitalizations at 12 months compared with patients who participated in CBCR. This study strengthens the evidence supporting HBCR in previously understudied patient populations.

The first survey on patient needs for remote monitoring of cardiac implantable electronic device in South Korea

BACKGROUND/AIMS

Studies showed that remote device monitoring reduced unnecessary outpatient visits and increased patient satisfaction. As there was no local research on remote monitoring (RM) in Korea, there was a lack of evidence for policy or insurance standards due to the lack of domestic data despite high demand by domestic arrhythmia experts. To establish the basis for patient satisfaction, economic efficiency, and safety of wireless monitoring, a survey-based study was planned.

METHODS

This was a single-university hospital survey. The satisfaction index was evaluated using a questionnaire to investigate patient satisfaction in outpatient clinics, economic efficiency (measured as home-to-clinic time, waiting time, and actual clinic time), and demand for RM in patients with implantable cardiac devices. The questionnaire was adopted and modified from the Survey on Telehealth Patient Experience by Bas-Villalobos, 2006 (modified Korean version 2.0 by You Mi Hwang, 2020).

RESULTS

Surveys were answered by 171 patients. The mean age of these patients was 71.2 ± 12.4 years. Based on the survey, home to clinic time was usually less than one h, mean waiting time in the hospital until clinic time ranged 42.6 ± 24.5 minutes, and mean clinic time ranged 3.1 ± 1.7 minutes. Based on the survey, patients favored RM over hospital visits with cardiac implantable electronic device follow-up mainly because of long travel times from home to clinic.

CONCLUSION

Based on the survey results, there is a clear need for RM in patients who have cardiac implantable electronic devices.

Rating the Quality of Smartphone Apps Related to Shoulder Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale

Background

The successful rehabilitation of musculoskeletal pain requires more than medical input alone. Conservative treatment, including physiotherapy and exercise therapy, can be an effective way of decreasing pain associated with musculoskeletal pain. However, face-to-face appointments are currently not feasible. New mobile technologies, such as mobile health technologies in the form of an app for smartphones, can be a solution to this problem. In many cases, these apps are not backed by scientific literature. Therefore, it is important that they are reviewed and quality assessed.

Objective

The aim is to evaluate and measure the quality of apps related to shoulder pain by using the Mobile App Rating Scale.

Methods

This study included 25 free and paid apps—8 from the Apple Store and 17 from the Google Play Store. A total of 5 reviewers were involved in the evaluation process. A descriptive analysis of the Mobile App Rating Scale results provided a general overview of the quality of the apps.

Results

Overall, app quality was generally low, with an average star rating of 1.97 out of 5. The best scores were in the “Functionality” and “Aesthetics” sections, and apps were scored poorer in the “Engagement” and “Information” sections. The apps were also rated poorly in the “Subjective Quality” section.

Conclusions

In general, the apps were well built technically and were aesthetically pleasing. However, the apps failed to provide quality information to users, which resulted in a lack of engagement. Most of the apps were not backed by scientific literature (24/25, 96%), and those that contained scientific references were vastly out-of-date. Future apps would need to address these concerns while taking simple measures to ensure quality control.

Wearable Devices for Physical Monitoring of Heart: A Review

Cardiovascular diseases (CVDs) are the leading cause of death globally. An effective strategy to mitigate the burden of CVDs has been to monitor patients' biomedical variables during daily activities with wearable technology. Nowadays, technological advance has contributed to wearables technology by reducing the size of the devices, improving the accuracy of sensing biomedical variables to be devices with relatively low energy consumption that can manage security and privacy of the patient's medical information, have adaptability to any data storage system, and have reasonable costs with regard to the traditional scheme where the patient must go to a hospital for an electrocardiogram, thus contributing a serious option in diagnosis and treatment of CVDs. In this work, we review commercial and noncommercial wearable devices used to monitor CVD biomedical variables. Our main findings revealed that commercial wearables usually include smart wristbands, patches, and smartwatches, and they generally monitor variables such as heart rate, blood oxygen saturation, and electrocardiogram data. Noncommercial wearables focus on monitoring electrocardiogram and photoplethysmography data, and they mostly include accelerometers and smartwatches for detecting atrial fibrillation and heart failure. However, using wearable devices without healthy personal habits will cause disappointing results in the patient's health.

Association between Social Support and Physical Activity in Patients with Coronary Artery Disease: Multiple Mediating Roles of Self-Efficacy and Autonomous Motivation

Physical inactivity in patients with coronary artery disease is linked to recurrent cardiac events. Given that social support may be an enduring major factor for physical activity, the mechanism underlying the multiple mediating effects of self-efficacy and autonomous motivation on the relationship between social support and physical activity in patients with coronary artery disease has hardly been examined. Therefore, this study aimed to clarify the multiple mediating roles of social support and physical activity on the relationship between self-efficacy and autonomous motivation in patients with coronary artery disease. This descriptive cross-sectional study included 190 inpatients who were diagnosed with coronary artery disease and admitted to a cardiology ward university hospital in Korea. Parallel multiple mediated models were tested using the SPSS PROCESS macro. The direct effects of social support on physical activity and the indirect effects of self-efficacy and autonomous motivation on social support and physical activity were statistically significant. Thus, positive social support from health-care providers has an important role to play in promoting physical activity by increasing self-efficacy and autonomous motivation for physical activity in patients with coronary artery disease.

mHealth Apps for Self-Management of Cardiovascular Diseases: A Scoping Review

The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an increasing trend in patient-centered care. In this research, we conduct a scoping review of mHealth apps for CVD self-management within the period 2014 to 2021. Our review revolves around six main aspects of the current status of mHealth apps for CVD self-management: main CVDs managed, main app functionalities, disease stages managed, common approaches used for data extraction, analysis, management, common wearables used for CVD detection, monitoring and/or identification, and major challenges to overcome and future work remarks. Our review is based on Arksey and O'Malley's methodological framework for conducting studies. Similarly, we adopted the PRISMA model for reporting systematic reviews and meta-analyses. Of the 442 works initially retrieved, the review comprised 38 primary studies. According to our results, the most common CVDs include arrhythmia (34%), heart failure (32%), and coronary heart disease (18%). Additionally, we found that the majority mHealth apps for CVD self-management can provide medical recommendations, medical appointments, reminders, and notifications for CVD monitoring. Main challenges in the use of mHealth apps for CVD self-management include overcoming patient reluctance to use the technology and achieving the interoperability of mHealth applications with other systems.

Effectiveness of physical activity monitors in adults: systematic review and meta-analysis

OBJECTIVE

To estimate the effectiveness of physical activity monitor (PAM) based interventions among adults and explore reasons for the heterogeneity.

DESIGN

Systematic review and meta-analysis.

STUDY SELECTION

The electronic databases MEDLINE, Embase, SPORTDiscus, CINAHL, and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched on 4 June 2021. Eligible randomised controlled trials compared interventions in which adults received feedback from PAMs with control interventions in which no feedback was provided. No restrictions on type of outcome measurement, publication date, or language were applied.

DATA EXTRACTION AND SYNTHESIS

Two reviewers independently extracted data and assessed risk of bias. Random effects meta-analyses were used to synthesise the results. The certainty of evidence was rated by the Grading of Recommendations Assessment and Evaluation (GRADE) approach.

MAIN OUTCOME MEASURES

The three primary outcomes of interest were physical activity, moderate to vigorous physical activity, and sedentary time.

RESULTS

121 randomised controlled trials with 141 study comparisons, including 16 743 participants, were included. The PAM based interventions showed a moderate effect (standardised mean difference 0.42, 95% confidence interval 0.28 to 0.55) on physical activity, equivalent to 1235 daily steps; a small effect (0.23, 0.16 to 0.30) on moderate to vigorous physical activity, equivalent to 48.5 weekly minutes; and a small insignificant effect (-0.12, -0.25 to 0.01) on sedentary time, equal to 9.9 daily minutes. All outcomes favoured the PAM interventions.

CONCLUSIONS

The certainty of evidence was low for the effect of PAM based interventions on physical activity and moderate for moderate to vigorous physical activity and sedentary time. PAM based interventions are safe and effectively increase physical activity and moderate to vigorous physical activity. The effect on physical activity and moderate to vigorous physical activity is well established but might be overestimated owing to publication bias.

STUDY REGISTRATION

PROSPERO CRD42018102719.

Effectiveness of Self-Monitoring Approach Using Fitness Trackers to Improve Walking Ability in Rehabilitation Settings: A Systematic Review

Background: A self-monitoring approach utilizing fitness trackers that provide feedback regarding physical activities has been recently applied to rehabilitation patients to promote voluntary walking activities. Although this approach has been proven to increase physical activity, it is uncertain whether the intervention improves walking ability. Aim: This review investigated whether the additional self-monitoring approach using activity trackers would improve walking ability in any type of rehabilitation setting. Methods: A systematic search was performed in four databases [PubMed (MEDLINE), The Cochrane Library, SPORTDiscus, and Cumulative Index to Nursing and Allied Health Literature] to identify studies that examined the self-monitoring approach combined with rehabilitative intervention vs. the same rehabilitative intervention only in participants with any unhealthy conditions. Two review authors independently assessed the eligibility of all the retrieved English literature published from 2009 to 2019, then discussed the final inclusion. The risk of bias was assessed referring to the criteria of the Cochrane Risk of Bias tool. The key findings were synthesized using narrative synthesis. In addition, a quantitative synthesis was conducted when more than two studies investigating the same disease were identified. Results: Eleven randomized controlled trials satisfied the eligibility criteria, nine of which had a lower risk of bias. The types of diseases included stroke, chronic obstructive pulmonary disease (COPD), cancer, Parkinson's disease, hemophilia, peripheral artery disease, post-total knee arthroplasty, and geriatric rehabilitation. Eight studies reported measures of walking endurance and four reported measures of gait speed. In the quantitative synthesis of two studies investigating COPD, there was a significant between-group difference in terms of changes in the 6-min walking distance from the baseline, which was favorable to the additional self-monitoring intervention group (mean difference: 13.1 m; 95% confidence interval, 1.8-24.5; 2 studies, 124 participants; p = 0.02; I 2 = 0%). Other available data revealed no consistent evidence regarding effectiveness of the intervention. Conclusions: The findings indicate that there is little evidence suggesting the effectiveness of the self-monitoring approach in improving walking ability in rehabilitation settings. However, a weak recommendation for patients with stable COPD was implicated in the quantitative synthesis. Further research would be required to explore the best indications for this self-monitoring approach. Systematic Review Registration: CRD 42020157695.

Digital Technology Application for Improved Responses to Health Care Challenges: Lessons Learned From COVID-19

While COVID-19 is still ongoing and associated with more than 5 million deaths, the scope and speed of advances over the past year in terms of scientific discovery, data dissemination, and technology have been staggering. It is not a matter of “if” but “when” we will face the next pandemic, and how we leverage technology and data management effectively to create flexible ecosystems that facilitate collaboration, equitable care, and innovation will determine its severity and scale. The aim of this review is to address emerging challenges that came to light during the pandemic in health care and innovations that enabled us to adapt and continue to care for patients. The pandemic highlighted the need for seismic shifts in care paradigms and technology with considerations related to the digital divide and health literacy for digital health interventions to reach full potential and improve health outcomes. We discuss advances in telemedicine, remote patient monitoring, and emerging wearable technologies. Despite the promise of digital health, we emphasise the importance of addressing its limitations, including interpretation challenges, accuracy of findings, and artificial intelligence–driven algorithms. We summarise the most recent recommendation of the Virtual Care Task Force to scaling virtual medical services in Canada. Finally, we propose a model for optimal implementation of health digital innovations with 5 tenets including data management, data security, digital biomarkers, useful artificial intelligence, and clinical integration.

Effect of personal activity intelligence (PAI) monitoring in the maintenance phase of cardiac rehabilitation: a mixed methods evaluation

BACKGROUND

Personal activity intelligence (PAI) is a single physical activity metric based upon heart rate responses to physical activity. Maintaining 100 PAI/week is associated with a 25% risk reduction in cardiovascular disease mortality and 50 PAI/week provides 60% of the benefits. The effect of utilising this metric within a cardiac population has not been previously investigated. The aim of this study was to determine the effect of PAI monitoring on the amount and/or intensity of physical activity for people in the maintenance phase of cardiac rehabilitation and to explore participants' perceptions of this approach.

METHODS

A concurrent mixed methods approach was undertaken. Participants in the maintenance phase of cardiac rehabilitation monitored PAI for six weeks via a wearable physical activity monitoring device (WPAM). In the first three weeks participants were blinded to their PAI score. A quality-of-life questionnaire (EQ-5D-5L) was completed, and semi-structured interviews conducted to investigate attitudes to PAI monitoring. Daily PAI data was collected throughout the 6-week period.

RESULTS

Twenty participants completed the trial. PAI earned/day was increased after participants could view their data (mean difference: 2.1 PAI/day (95% CI 0.3, 4.0), p = 0.027). The median change in percentage of days participants achieved a Total PAI score of 25 (p = 0.023) and 50 (p = 0.015) were also increased. The mean change in total scores for the EQ-5D-5L and EQVAS were improved after 6 weeks (0.6 ± 1.05; 95% CI (0.11-1.09); p = 0.019); (5.8/100; 95% CI (2.4-9.2); p = 0.002 respectively). Thematic framework analysis identified three global themes (perceptions on the WPAM, PAI and factors affecting exercise). Most participants stated motivation to exercise increased after they could view their PAI data. Many of the participants believed they would continue to use PAI long-term. Others were undecided; the latter primarily due to technical issues and/or preferring devices with greater functionality and attractiveness. All participants would recommend PAI.

CONCLUSION

This exploratory study showed monitoring PAI via a WPAM increased the amount and/or intensity of physical activity within the cardiac population. Participants found PAI interesting, beneficial, and motivating. If technical issues, aesthetics, and functionality of the WPAM were improved, participants may continue to use the approach long-term. PAI may be a viable strategy to assist people with cardiac disease maintain physical activity adherence.

Trends in the Use of Cardiac Rehabilitation in Japan Between 2010 and 2017 - An Epidemiological Survey

Background: Despite the prognostic effectiveness of cardiac rehabilitation (CR) in patients with cardiovascular disease (CVD), it has been underutilized. Understanding the trend of dissemination of CR over the years would help provide a perspective of CR in Japan. Methods and Results: A retrospective epidemiological survey between fiscal years 2010 and 2017 was conducted using the diagnosis procedure combination database (a Japanese administrative database). Data on 2,046,302 patients with CVD from 1,632 hospitals were extracted. The proportion of CR-certified hospitals among hospitals treating patients with CVD increased from 31.6% in 2010 to 56.6% in 2017. Over the same period, the participation rate in inpatient CR (ICR) increased from 18.3% to 39.0%, but the participation rate in outpatient CR (OCR) remained low (from 1.4% to 2.5%). The CR participation rates varied widely according to the main disease group. Approximately 95% of ICR participants did not continue CR after discharge. Conclusions: The number of CR-certified hospitals increased from 2010 to 2017, leading to increased ICR participation across patients with CVD; however, OCR has remained extremely underutilized. Immediate action is urgently required to increase the use of OCR.