Bezuidenhout Lucian, Humphries Sophia, English Coralie, Sundberg Carl Johan, Nilsson Michael, Conradsson David Moulaee
Department of Neurobiology, Care Sciences and Society, Division of Physiotherapy, Karolinska Institutet, Stockholm, Sweden.
Department of Health and Rehabilitation Sciences, Division of Physiotherapy, Stellenbosch University, Cape Town, South Africa.
Digit Health. 2025 Sep 2;11:20552076251374247. doi: 10.1177/20552076251374247. eCollection 2025 Jan-Dec.
Mobile health (mHealth) offers a promising platform for promoting physical activity (PA) in individuals post-stroke or transient ischemic attack (TIA). However, the extent to which key intervention components of PA promotion can be adapted to a digital format remains unclear. This study examines the fidelity of delivering supervised physical exercise and support for individualized PA goals in a 6-month mHealth intervention.
This feasibility randomized controlled trial included individuals post-stroke or TIA who participated in the mHealth version of the i-REBOUND program. Descriptive statistics were used to assess format (individual/group), and progression of supervised exercise, as well as the characteristics of PA goals (type and use of action planning) throughout the intervention.
Of the 57 participants enrolled in the i-REBOUND program (mean age: 71 years; 70% with stroke), 51 (89%) completed the intervention. Of the 1391 total exercise sessions delivered, the majority (62%) were performed at moderate or higher intensity (Borg rating ≥11). Additionally, 39 participants (71%) demonstrated exercise progression, and 49 participants (89%) participated in group sessions. A total of 293 PA goals were established, predominantly with a focus on performing a desired behavior. Defining frequency (88%), context (61%) and duration (53%) of PA goals was common, while defining intensity (25%) was less so.
This study support the implementation of a mHealth-delivered supervised exercise program for people post-stroke or TIA, achieving target intensity, integrating group sessions, and progression. Refining goal-setting strategies to address diverse action planning components may enhance future mHealth interventions.
移动健康(mHealth)为促进中风或短暂性脑缺血发作(TIA)患者的身体活动(PA)提供了一个有前景的平台。然而,PA促进的关键干预成分在多大程度上可以适应数字形式仍不清楚。本研究考察了在一项为期6个月的mHealth干预中提供有监督的体育锻炼以及支持个性化PA目标的保真度。
这项可行性随机对照试验纳入了参与i-REBOUND计划mHealth版本的中风或TIA患者。描述性统计用于评估形式(个体/小组)、有监督锻炼的进展情况,以及整个干预过程中PA目标的特征(类型和行动计划的使用)。
在参与i-REBOUND计划的57名参与者中(平均年龄:71岁;70%为中风患者),51名(89%)完成了干预。在总共1391次锻炼课程中,大多数(62%)以中等或更高强度进行(Borg评分≥11)。此外,39名参与者(71%)显示出锻炼进展,49名参与者(89%)参加了小组课程。总共确立了293个PA目标,主要侧重于执行期望的行为。确定PA目标的频率(88%)、背景(61%)和持续时间(53%)很常见,而确定强度(25%)则较少。
本研究支持为中风或TIA患者实施由mHealth提供的有监督锻炼计划,该计划实现了目标强度,纳入了小组课程,并取得了进展。完善目标设定策略以解决不同的行动计划成分可能会增强未来的mHealth干预。