Submitted:
29 August 2024
Posted:
30 August 2024
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Abstract
Keywords:
1. Introduction
2. Methods
3. Results
3.1. Descriptive Analysis:
3.2. Types of Technological Intervention and Patient Population
- Text messages and medication adherence [10]. In the study called “Text Messages to Improve Medication Adherence (TextMeds) and Secondary Prevention after Acute Coronary Syndrome (ACS) [10]” the effects of text message delivered cardiac education, support and adherence to medication were studied after ACS. Providing support and consistent care to ACS patients after discharge remains an implement challenge for many hospitals and health systems [10,20]. It is important to reduce the burden of readmissions and provide the post-discharge care needed through implementation of best practice secondary prevention strategies such as healthy living, medicines and emotional well-being [20,21]. The intervention consisted of a personalized and customized text message-based program for one year which required minimal central staff support. Intervention participants were more motivated to eat recommended servings of fruit and vegetables and normalize their body mass index. However, the study found that within the participants there were no significant effects on the primary outcomes of blood pressure, low density lipoprotein cholesterol and medication adherence. Overall, there was high levels of acceptability of the intervention, program engagement and usefulness in being a credible source of information and support to the patients after discharge [10].
- A mobile application for technology-facilitated home Cardiac Rehabilitation [11] In Smart HEART (Health Education and Rehabilitation Technology), direct communication between patient and a health coach was provided through a mobile smart phone app, to encourage self-monitoring. A wrist worn activity tracker encouraged regular exercise [11]. The remote CR enhanced with a digital health intervention (DHI) was provided to the patients to check the usability and to determine if the intervention improves CR access, patient reported outcomes and cardiac risk factors [11]. After the in-person baseline visit, the participants received a 3-month, remote CR program, which consist of structured home exercise enhanced with the Movn smartphone app (Movn Health, Irvine, California) and a wearable fitness tracking device and data was shared with a dedicated health coach [11,12,23]. Results indicated that the DHI-enhanced remote CR program was associated with enhanced CR access, improvement in the markers of cardiovascular risk, and healthy behaviors in this study.
- A patient-centered digital health intervention for cardiac rehabilitation [12].258 patients enrolled in remote CR enhanced with the DHI. In order to participate in the (DHI) program for the cardiac rehabilitation program at the Veteran Health Administration (VHA) or VA medical center participants were required to own an Android or an iOS smartphone, enabled with access to Wi-Fi or a data plan. The DHI intervention consisted of remote CR with a structured, 3-month home exercise program partnered with multi-component coaching, a commercial smartphone app, and a wearable activity tracker. Patient-reported outcomes from pre- to post-intervention were measured along with changes in 6-min walk distance, cardiovascular risk factors and intervention completion rates. Results showed the intervention was associated with enhanced CR access, improved markers of cardiovascular risk, high completion rates and healthy behaviors.
- A smartphone application post cardiac rehabilitation improves exercise capacity with long term follow up [13] In this study conducted in Norway the intervention group received an app which was developed to guide and help patients change behavior and maintain habits, post cardiac rehabilitation. A physiotherapist was the supervisor of the group for the year and patients could submit questions and received feedback via email regularly as well as short tailored motivational feedback regularly [13]. Results indicated that compared with a control group post-CR, improvements were seen in VO2peak, exercise performance and exercise habits, as well as self-perceived goal achievement.
- Mobile health and implantable cardiac devices: Patients’ expectations [14]. Remote monitoring systems in patients with implantable cardioverter defibrillators (ICDs) are a common area of implementation of mHealth in clinical practice. In this study conducted in an outpatient clinic in Italy patients’ perspectives and interest on receiving data from their implantable cardiac devices, clinical and health related advice via remote monitoring was studied. The ICD patients showed interest in receiving information pertaining to the technical functioning of the device but there was a lack of interest regarding the role of these tools in self-management of the disease. Presence of caregiver support as well as higher education were associated with greater interest in receiving information via mobile phone [14]. These results were limited by being conducted in a single center however should be expanded to other centers to achieve an impact in the future development of novel mHealth patient centered devices.
-
Participation of young African American females in an m-Health study in cardiovascular disease reduction [15]. 40 black female participants between the ages of 25 and 45 years, with CVD risk factors participated in a 4-week (two hours per week) intervention consisting of self-management educational classes and six months of wireless coaching and monitoring. Women responded to a semi qualitative online survey assessing the user- friendliness and perceived helpfulness of the intervention at follow up.Results were favorable with positive implications for practice. Most of the participants did not encounter barriers to participation, which suggests that mobile health interventions can be effective tools to improve health behavior patterns and provide helpful support in the prevention of cardiovascular disease. Targeting women provided indirect benefits for other family members, especially children. Women mentioned their family were more inclined to participate in healthy habits. This study had a few limitations, including that it was conducted on a small sample size in urban Southern California, and therefore cannot be generalized to the African American communities. In order to help bridge some of the disparities in access to health care in this population a larger-scale multicenter trial would be helpful and help validate the findings of the study [15].
- Evaluation of the impact of the HeartHab on motivation, physical activity, quality of life and risk factors of cardiovascular disease patients [16]. The aim of this study conducted in Belgium was to investigate the impact of the HeartHab application on the patients’ motivation, physical activity, exercise target fulfilment, QoL and modifiable risk factors in patients with CAD during telerehabilitation. 32 CAD patients were randomized on a 1:1 ratio to telerehabilitation or usual care. The persuasive design techniques integrated in the HeartHab, and the tailoring of exercise targets were effective in motivating patients to reach their telerehabilitation targets. Results demonstrated positive improvements in VO2 max, glucose, HDL cholesterol, weight and quality of life [16]. A larger sample size and longer evaluation would be beneficial and shed more light on these results.
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An Automated mHealth Intervention for Physical Activity Promotion [17]. Smartphone users aged 18 to 69 were enrolled in the mActive study years at an ambulatory cardiology center in Baltimore, Maryland. In this study smart texts through smartphone-delivered coaching 3 times a day aimed at individual encouragement. Participants used their own smartphones and feedback loops were created by a fully automated, physician-written, theoretical algorithm, which used the patient real-time activity data, 16 personal factors and the goal of 10,000 steps per day. Digital physical activity tracking was performed using a wearable, display-free, triaxial accelerometer that paired with low-energy Bluetooth and compatible smartphones. Smart texts with activity tracking led to the best physical activity outcomes, such as increased daily steps (better outcomes than tracking only).The mHealth intervention with smart text component and digital tracking, significantly increased physical activity. Despite the positive results this was considered a pilot study and future steps of including human coaches and increasing the sample size will be more beneficial in understanding the impact of mActive study [17].
- A live Videoconferencing Intervention in Pediatric Heart Transplant Recipients [18]. In this study the feasibility and impact of a supervised exercise and diet intervention delivered via videoconferencing was tested, at least one year post transplant [18]. The lifestyle intervention in this pediatric heart transplant recipients resulted in excellent adherence and improvements in cardiac, vascular, functional and nutritional health. After transitioning to maintenance phase, several of these health indices were sustained. The researchers aim to shift clinical focus from “exercise restrictions to exercise prescriptions”, in a vulnerable pediatric population.
- Physical activity trackers and pediatric Marfan patients [19]. In this clinical intervention, 24 pediatric patients with Marfan syndrome between 8 and 19 years of age participated, and their physical activity was tracked. They were instructed to take 10,000 steps per day for 8 months. The AoR dimension, arterial stiffness, endothelial function, physical activity indices, inflammatory biomarkers and coping scores were measured at baseline, and 6 months. This study demonstrated the feasibility of a physical activity intervention in the pediatric patients with Marfan syndrome and the potential to decrease the AoR dilation rate [19]. The focus has been more towards exercise restrictions rather than promotion of exercise in this patient population, the researchers hope that the results of the study might help and shift the paradigm [21]. Additional similar studies can help provide guidelines on how supervised exercise therapy can be further explored in a multicenter study consisting of a larger sample size.
- Virtual cardiac fitness training in pediatric heart transplant patients [20]. Participants between the age of 10 and 20 years old underwent the intervention which consisted of exercise sessions twice a week for 30 minutes under the supervision of a trained exercise physiologist over a virtual platform for 16-weeks. Patients wore a FitBit accelerometer to monitor daily activity levels throughout the duration of the study. At the conclusion of the intervention participants repeated the strength and flexibility assessment, a 6MWT and quality of life parameters measurement to compare with baseline measurements. The results of the study showed a successful implementation of the intervention with excellent adherence and improvement in physical fitness and quality of life.
4. Discussion
Limitations and Future Directions:
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
References
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| Article | Sample(n) | Type of study | Intervention and patient information | Summary |
|---|---|---|---|---|
|
1424 | Randomized control trial (RCT) |
1424 patients (mean age=58 years, 79% male) with heart disease ( from 18 Australian teaching hospitals), owning a text capable, mobile phone, with the ability to read messages in English, were followed for a year. The participants were compared to a control group, with no text messages. | The program delivered consistent education and support to cardiac patients after hopitalization. Results showed favorable response from patients, including high levels of acceptability, usefulness in being a unified source of information, program engagement, and emotional support. However medication adherence was not improved. |
|
13 | Observational study | 13 participants (1 female) mean age=63, with cardiac surgery, angina or heart failure, owning a mobile phone or computer with internet access, participated in this study related to feedback of Veteran use of a mobile application. The mobile app VA FitHeart, included health education along with reminders and feedback. The app also provided physical activity goal setting, alongwith daily logs for physical activity tracking and health metrics recording(e.g., blood pressure, weight and mood/ emotional well-being) | The study used patients feedback to improve the usability of the app, through questionnaitres and semistructured interviews. Patient expectations for using a mobile app for Cardiac rehabilitation (CR) included tracking health metrics, introductory training, and sharing data with providers. Patients in the study desired the ability to track physical activity. |
|
258 | Open label trial | Patients with cardiac disease were required to own an Android or an iOS smartphone in working condition with access to Wi-Fi or a data plan to enroll in this digital health intervention (DHI) program for the cardiac rehabilitation program at the VHA medical center. A total of 258 participants mean age 60+9 yrs, 93% male and 48% blacks, enrolled in the program for three months. | Results indicated that the remote CR with DHI was feasible in the VA hospital setting. Participants health status improved with better walking capabilities and low density lipoprotein cholesterol, while smoking decreased. Additionally, no adverse events were noted. |
|
113 | RCT | 113 patients completing cardiac rehab, were randomly allocated to the intervention. Mean age of particpants= 59, 22% females ( coronary artery disease= 73.4%, 16.8%= valve surgery, and other heart diseases= 9.8%). The intervention consisted of receiving follow up with the m-health app or a control group with usual care. Patients were recruited from two CR centers in the eastern region of Norway. | Post-CR patients were compared with control group in this study consisting of individualized follow up for one year with an app. Improvements were seen in VO2peak, exercise performance and exercise habits, as well as self-perceived goal achievement. No other outcomes were different. |
|
268 | Descriptive mixed methods study | The questionnaire was distributed among 268 patients attending an outpatient arrhythmia clinic. 82.4 % men with mean age 69 years, participated in this study conducted in Northern, Italy. |
In this study the results indicate that the patients expressed a greater interest in receiving information related to the effectivenes and integrity of the device. Lower interest towards the clinical status and arrythmic episodes and healthy lifestyle counselling was observed. |
|
40 | Community participatory research design | 40 Black women aged 25-45 years with at least two cardiovascular risk factors, completed 4 sessions of cardiovascular disease risk reduction education as well as a 6-month smartphone coaching and cardiovascular disease risk reduction monitoring, which targeted heart healthy lifestyle and behavior modifications. | The results indicate that m-Health intervention was a feasible tool for implemeting cardiovascular disease risk reduction for young black women. Imrpoving the health awareness of the participants had indirect benefits for other family members especially children. |
|
32 | RCT | The impact of HeartHab app was studied on 32 coronary artery disease patients for 4 months, in Belgium. Overall patients motivation, physical activity, exercise target achievement, quality of life and modifiable risk factors were investigated. | Results demonstated positive improvements in VO2 max, glucose, HDL cholesterol, weight and quality of life. |
|
48 | RCT | 48 participants (46% women, 58 years age mean) from a cardiology center in Baltimore, owning smartphones, took part in this study for 4 months with the objective that mHealth intervention with tracking and texting components would increase physical activity. | Smart texts with activity tracking led to the best physical activity outcomes, such as increased daily steps(better outcomes than tracking only). |
|
14 | Clinical trial (pilot study) | 14 (8-19 year old) patients (at least 1 year postcardiac transplant surgery) underwent a 12- 16 week diet and exercise intervention which was delivered via live video conferencing to improve cardiovascular health. | Results indicate that the lifestyle intervention of exercise and nutrition was feasible with excellent adherence, improvements in cardiac,vascular, nutritional and functional health. |
|
24 | Cohort study | 24 patients with Marfan syndrome (8 to 19 years old) participated in a 6-month physical activity intervention and their steps were tracked. | Physical activity intervention was feasible in this population and has the potential to decrease the aortic root (AoR) dilation rate. |
|
12 | Feasibility study | Mean age of participants was 15.4 years (SD = 3.4) with mean time since cardiac transplant of 9.7 years (SD= 4.3). Participants wore a FitBit accelerometer throughout the duration of the study to monitor daily activity levels. The participants underwent the intervention for 16 weeks, which consisted of exercise sessions twice a week for 30 mins, supervised by a trained exercise physiologist over a virtual platform. At the conclusion of the intervention participants repeated the strength and flexibility assessment, a 6MWT and quality of life (QoL) parameters measurement to compare with baseline. |
Results of the study indicate the successful implementaton of a virtual cardiac fitness intervention with improvement in QoL metrics and excellent adherence of participants. |
| Chow et al | Beatty et al | Harzand et al |
Lunde et al | Villani et al | Kathuria-Prakash et al |
Sankaran et al | Martin et al | Chen et al | Tiernay et al | Ziebell et al | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Study purpose: was the purpose stated clearly? |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Literature: was relevant and background literature reviewed? |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Design |
RCT | Observational study | Open label trial | RCT | Descriptive mixed methods study | Community participatory research design | RCT | RCT | Open label trial | Cohort | Feasibility study |
| Sample | N=1424 | N=13 |
N=258 |
N= 113 | N= 268 | N=40 |
N=32 |
N=48 |
N=14 | N=24 | N=12 |
| Was the sample described in detail? |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Was the sample size justified? |
Yes | No | No | Yes | No | No | Yes | Yes | Yes | No | No |
| Results: Results were reported in terms of statistical significance. |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Were the analysis method(s) appropriate? |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Clinical importance was reported? |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Drop-outs were reported? |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| Conclusions and clinical implications: Conclusions were appropriate given the study methods and results |
Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
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