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The aim of this study is to investigate engagement, motivation, and the barriers to adherence of virtual reality based therapy (VRBT) in patients with cardiac diseases and risk factors to the development of cardiac diseases. In addition, to investigate autonomic and hemodynamic responses of VRBT in comparison with conventional therapy (CT). To do this, patients with cardiac diseases or risk factors will be invited to perform CT or VRBT+CT. They will be submitted to an initial evaluation, and then will be random allocated to 12 weeks of intervention and to a final evaluation. The primary outcomes includes engagement, motivation, barriers and adherence in the 12 previous weeks using questionnaire, after 12 weeks of the intervention and after 12 weeks of the final intervention program. Hemodynamic and autonomic responses will be considered the secondary outcomes being evaluated before, during and after a session at the first, sixth and twelfth week.
Introduction: cardiovascular rehabilitation programs (CR) can promote several benefits in patients with cardiac diseases. However, there are problems related to the patient adherence in CR. Some of these problems can be caused to factors like motivation. Alternative therapies can improve motivation and increase adherence to CR. In this context, virtual reality based therapy (VRBT), have shown benefits in cardiac patients to pain relief, functional capacity and increasing physical activity levels, but there is no answer whether it can increase engagement and adherence to CR. In addition, it is important to investigate hemodynamic responses of VRBT. Objective: investigate engagement, motivation, and the barriers to adherence of VRBT in patients with cardiac diseases and risk factors to the development of cardiac diseases. In addition, to investigate autonomic and hemodynamic responses of VRBT in comparison with conventional therapy (CT). Methods: patients with cardiac diseases or risk factors will be invited to perform CT or VRBT+CT. They will be submitted to an initial evaluation, the intervention and to a final evaluation. The initial evaluation include eligibility investigation, and after they will be random allocated to the interventions. The interventions will be performed with a frequency of three times a week, for 12 weeks, and the intensity will be prescribed individually. The primary outcomes includes engagement, motivation, barriers and adherence in the 12 previous weeks according to a recall questionnaire, after 12 weeks of the intervention and after 12 weeks of the final intervention program. The engagement will be evaluated using the User Engagement Scale (modified). Motivation will be evaluated using the intrinsic motivation questionnaire. The barriers will be evaluated using the Barriers Scale of Cardiac Rehabilitation. Adherence will be evaluated using the presence in the patient's records. Hemodynamic responses will be evaluated before, during and after a session at the first, sixth and twelfth week using blood pressure, heart rate, respiratory rate, oxygen saturation and rating of perceived exertion. Autonomic responses will be evaluated using heart rate variability. Statistical analysis: the data analysis will be evaluated using the two way ANOVA with Bonferroni posttest with significance to p < 0.05.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Conventional therapy | Active Comparator | Exercise-based cardiac rehabilitation |
|
| Virtual reality based therapy | Experimental | Exercise-based virtual reality |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Exercise | Other | Both interventions uses exercises |
|
| Measure | Description | Time Frame |
|---|---|---|
| Engagement | Measured using the Utrecht engagement scale modified There is 17 items scored from 1 to 7, according to the Likert Scale. Then, each item is summed and divided for the number of items. Higher values represent a better engagement. | Change from baseline at 12 weeks |
| Motivation | Measured using the Intrinsic motivation inventory There is 18 items scored from 1 to 5, according to the Likert Scale. Then, each item is summed and divided for the number of items. Higher values represent a better motivation. | Change from baseline at 12 weeks |
| Barriers to Cardiac Rehabilitation | Measured using Cardiac Rehabilitation Barriers Scale There is 21 items score from 1 to 5, according to the Likert Scale. Then, each item is summed and divided for the number of items. Higher values represent a worse outcome. In addition, there is four subscales: 1) Perceived need/health care factors, 2) Logistical factors, 3) Work/time conflicts, and 4) Comorbidities/functional status. The subscales are scored in the same way of the total, it means, from 1 to 5 and them dividing from the total number of the items included in the subscale. | Change from baseline at 12 weeks |
| Adherence to Cardiac Rehabilitation | Measured using the number of cardiac rehabilitation sessions attended | Change from baseline at 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Autonomic responses | Measured using heart rate variability The heart rate variability will be measured through the following linear indices (SDNN: the standard deviation of normal-to-normal intervals, ms; rMSSD: the root mean square of successive difference between normal intervals,ms; RRtri: triangular index, based on RR intervals,ms; TINN: triangular interpolation of the normal to normal interval between consecutive heart beats, ms; LF: low frequency, nu; HF: high frequency and nonlinear indices,nu.). In addition the nonlinear indices will be measured (SD1: standard deviation of instant variability beat to beat; SD2: standard deviation of long-term interval between consecutive heart beats). In general higher values represent a better autonomic response. |
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Inclusion Criteria:
Exclusion Criteria:
- Patients who disagree to participate of any protocol interventions
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| Name | Affiliation | Role |
|---|---|---|
| Ana Laura Ricci-Vitor, PhD | Universidade Estadual Paulista Júlio de Mesquita Filho | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Laboratório de Fisiologia do Estresse | Presidente Prudente | São Paulo | 19060900 | Brazil |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 33625515 | Derived | da Cruz MMA, Ricci-Vitor AL, Borges GLB, da Silva PF, Turri-Silva N, Takahashi C, Grace SL, Vanderlei LCM. A Randomized, Controlled, Crossover Trial of Virtual Reality in Maintenance Cardiovascular Rehabilitation in a Low-Resource Setting: Impact on Adherence, Motivation, and Engagement. Phys Ther. 2021 May 4;101(5):pzab071. doi: 10.1093/ptj/pzab071. | |
| 31926142 |
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After published results,
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| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010349 | Patient Compliance |
| ID | Term |
|---|---|
| D010342 | Patient Acceptance of Health Care |
| D000074822 | Treatment Adherence and Compliance |
| D015438 | Health Behavior |
| D001519 | Behavior |
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| ID | Term |
|---|---|
| D015444 | Exercise |
| ID | Term |
|---|---|
| D009043 | Motor Activity |
| D009068 | Movement |
| D009142 | Musculoskeletal Physiological Phenomena |
| D055687 | Musculoskeletal and Neural Physiological Phenomena |
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| Up to 12 weeks |
| Blood pressure | Measured using both systolic blood pressure and diastolic blood pressure | Up to 12 weeks |
| Heart rate | Measured using an equipment validated for recording heart rate beat to beat | Up to 12 weeks |
| Respiratory rate | Measured using the number of respiratory incursions in one minute | Up to 12 weeks |
| Oxygen Saturation | Measured using an oximeter | Up to 12 weeks |
| Perceived exertion | Measured using Borg Scale. This scale varies from 6 to 20. | Up to 12 weeks |
| Alves da Cruz MM, Ricci-Vitor AL, Bonini Borges GL, Fernanda da Silva P, Ribeiro F, Marques Vanderlei LC. Acute Hemodynamic Effects of Virtual Reality-Based Therapy in Patients of Cardiovascular Rehabilitation: A Cluster Randomized Crossover Trial. Arch Phys Med Rehabil. 2020 Apr;101(4):642-649. doi: 10.1016/j.apmr.2019.12.006. Epub 2020 Jan 8. |