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使用智能手机和3D打印技术的新型便携式康复系统(mRehab)的可用性、实用性及可接受性:混合方法研究

Usability, Usefulness, and Acceptance of a Novel, Portable Rehabilitation System (mRehab) Using Smartphone and 3D Printing Technology: Mixed Methods Study.

作者信息

Bhattacharjya Sutanuka, Cavuoto Lora Anne, Reilly Brandon, Xu Wenyao, Subryan Heamchand, Langan Jeanne

机构信息

Department of Occupational Therapy, Byrdine F Lewis College of Nursing and Health Professions, Georgia State University, Atlanta, GA, United States.

Rehabilitation Science, University at Buffalo, Buffalo, NY, United States.

出版信息

JMIR Hum Factors. 2021 Mar 22;8(1):e21312. doi: 10.2196/21312.

Abstract

BACKGROUND

Smart technology use in rehabilitation is growing and can be used remotely to assist clients in self-monitoring their performance. With written home exercise programs being the commonly prescribed form of rehabilitation after discharge, mobile health technology coupled with task-oriented programs can enhance self-management of upper extremity training. In the current study, a rehabilitation system, namely mRehab, was designed that included a smartphone app and 3D-printed household items such as mug, bowl, key, and doorknob embedded with a smartphone. The app interface allowed the user to select rehabilitation activities and receive feedback on the number of activity repetitions completed, time to complete each activity, and quality of movement.

OBJECTIVE

This study aimed to assess the usability, perceived usefulness, and acceptance of the mRehab system by individuals with stroke and identify the challenges experienced by them when using the system remotely in a home-based setting.

METHODS

A mixed-methods approach was used with 11 individuals with chronic stroke. Following training, individuals with stroke used the mRehab system for 6 weeks at home. Each participant completed surveys and engaged in a semistructured interview. Participants' qualitative reports regarding the usability of mRehab were integrated with their survey reports and quantitative performance data.

RESULTS

Of the 11 participants, 10 rated the mRehab system between the 67.5th and 97.5th percentile on the System Usability Scale, indicating their satisfaction with the usability of the system. Participants also provided high ratings of perceived usefulness (mean 5.8, SD 0.9) and perceived ease of use (mean 5.3, SD 1.5) on a 7-point scale based on the Technology Acceptance Model. Common themes reported by participants showed a positive response to mRehab with some suggestions for improvements. Participants reported an interest in activities they perceived to be adequately challenging. Some participants indicated a need for customizing the feedback to be more interpretable. Overall, most participants indicated that they would like to continue using the mRehab system at home.

CONCLUSIONS

Assessing usability in the lived environment over a prolonged duration of time is essential to identify the match between the system and users' needs and preferences. While mRehab was well accepted, further customization is desired for a better fit with the end users.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04363944; https://clinicaltrials.gov/ct2/show/NCT04363944.

摘要

背景

康复领域对智能技术的应用正在增加,且可用于远程协助患者自我监测其康复表现。出院后,书面家庭锻炼计划是常见的康复形式,移动健康技术与任务导向型计划相结合可以增强上肢训练的自我管理能力。在本研究中,设计了一种康复系统,即mRehab,它包括一个智能手机应用程序以及3D打印的家居用品,如嵌入智能手机的杯子、碗、钥匙和门把手。该应用程序界面允许用户选择康复活动,并接收关于完成的活动重复次数、完成每项活动的时间以及运动质量的反馈。

目的

本研究旨在评估中风患者对mRehab系统的可用性、感知有用性和接受度,并确定他们在家庭环境中远程使用该系统时所遇到的挑战。

方法

对11名慢性中风患者采用混合方法。训练后,中风患者在家中使用mRehab系统6周。每位参与者完成问卷调查并参与半结构化访谈。参与者关于mRehab可用性的定性报告与他们的问卷调查和定量表现数据相结合。

结果

11名参与者中,10人在系统可用性量表上对mRehab系统的评分处于第67.5百分位至第97.5百分位之间,表明他们对系统的可用性感到满意。根据技术接受模型,参与者在7分制量表上对感知有用性(平均5.8,标准差0.9)和感知易用性(平均5.3,标准差1.5)也给出了高分。参与者报告的常见主题显示出对mRehab的积极反应,并提出了一些改进建议。参与者对他们认为具有足够挑战性的活动表现出兴趣。一些参与者表示需要定制反馈,使其更易于理解。总体而言,大多数参与者表示他们愿意继续在家中使用mRehab系统。

结论

在实际生活环境中长时间评估可用性对于确定系统与用户需求和偏好之间的匹配至关重要。虽然mRehab被广泛接受,但仍需要进一步定制以更好地适应最终用户。

试验注册

ClinicalTrials.gov NCT04363944;https://clinicaltrials.gov/ct2/show/NCT04363944

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f1ec/8080267/0cb66f5f009a/humanfactors_v8i1e21312_fig1.jpg

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