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基于“数字人”的社区中风老年患者跌倒风险感知工具包:开发与验证

Fall risk perception toolkit based on "digital human" for community-dwelling older patients with stroke: development and validation.

作者信息

Nan Jiang, Hou Yi, Sun Manyao, Huang Xueying, Gao Jing, Zou Xueqiong, Chen Zhongyi, Jiang Yuyu

机构信息

Research Office of Chronic Disease Management and Rehabilitation, Wuxi School of Medicine, Jiangnan University, No. 1800 Lihu Avenue, Wuxi, Jiangsu Province, China.

Loudi Central Hospital, Loudi, Hunan Province, China.

出版信息

BMC Geriatr. 2025 Jul 16;25(1):532. doi: 10.1186/s12877-025-06186-z.

Abstract

BACKGROUND

This study aims to develop a fall risk perception toolkit based on "digital human" (FRP-digital human), test its usability among community-dwelling older patients with stroke, and verify its implementation effect.

METHODS

The toolkit underwent three phases: development, usability test, and effectiveness verification. A mixed method usability test was conducted with 20 participants who met the criteria. The toolkit was validated in a 12-week two-arm pilot study involving 80 community-dwelling older patients with stroke. Two groups of participants were randomly assigned to either the intervention or the control group to receive the same content of health education. Intervention group received health education based on "digital human", while control group received traditional online PDF text health education. The usability test contained Post-Study System Usability Questionnaire (PSSUQ), Customer Effort Score (CES), Net Promoter Score (NPS), and user interviews. Rate of Participant (RP), Rate of Adherence (RA), fall risk perception, object fall risk and quality of life were selected as outcome indicators. The corresponding measurement tools were calculation of RP and RA, Fall Risk Perception Scale for community-dwelling older adults (FRPS), Timed Up and Go test (TUG), and the Short Version of the Stroke Specific Quality of Life scale (SV-SS-QoL).

RESULTS

Four functional modules of FRP-digital human were determined. 20 participants completed the usability test. The CES was 3.1, NPS was 4.5 and the overall satisfaction of PSSUQ was 72.14%. Six themes were obtained from user interviews. A total of 80 participants completed the pilot study. The RP was 100% in both intervention group and control group, and significant differences was observed in RA between two groups (P < 0.05). There were statistically significant differences in FRPS and the SV-SS-QoL between two groups (P < 0.001). No statistically significant was observed in TUG between two groups (P = 0.996).

CONCLUSION

FRP-digital human can be accepted by community-dwelling older patients with stroke and help improve their fall risk perception and quality of life. Moreover, the design of the WeChat mini program increased its generalizability to promote more successful health care delivery.

TRIAL REGISTRATION

This study has been registered at the Chinese Clinical Trial Registry: ChiCTR2300068365 (2023-02-16).

摘要

背景

本研究旨在开发一种基于“数字人”的跌倒风险感知工具包(FRP-数字人),在社区居住的老年中风患者中测试其可用性,并验证其实施效果。

方法

该工具包经历了三个阶段:开发、可用性测试和效果验证。对20名符合标准的参与者进行了混合方法可用性测试。该工具包在一项为期12周的双臂试点研究中得到验证,该研究涉及80名社区居住的老年中风患者。两组参与者被随机分配到干预组或对照组,接受相同内容的健康教育。干预组接受基于“数字人”的健康教育,而对照组接受传统的在线PDF文本健康教育。可用性测试包括研究后系统可用性问卷(PSSUQ)、客户努力评分(CES)、净推荐值(NPS)和用户访谈。选择参与者率(RP)、依从率(RA)、跌倒风险感知、物体跌倒风险和生活质量作为结果指标。相应的测量工具为RP和RA的计算、社区居住老年人跌倒风险感知量表(FRPS)、定时起立行走测试(TUG)和卒中特异性生活质量量表简版(SV-SS-QoL)。

结果

确定了FRP-数字人的四个功能模块。20名参与者完成了可用性测试。CES为3.1,NPS为4.5,PSSUQ的总体满意度为72.14%。从用户访谈中获得了六个主题。共有80名参与者完成了试点研究。干预组和对照组的RP均为100%,两组之间的RA存在显著差异(P<0.05)。两组之间的FRPS和SV-SS-QoL存在统计学显著差异(P<0.001)。两组之间的TUG未观察到统计学显著差异(P=0.996)。

结论

FRP-数字人可以被社区居住的老年中风患者接受,并有助于提高他们的跌倒风险感知和生活质量。此外,微信小程序的设计提高了其推广性,以促进更成功的医疗保健服务。

试验注册

本研究已在中国临床试验注册中心注册:ChiCTR2300068365(2023-02-16)。

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