Center for Healthy Ageing and Wellness, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Faculty of Health Sciences, Cawangan Pulau Pinang, Kampus Bertam, Universiti Teknologi Majlis Amanah Rakyat, Penang, Malaysia.
JMIR Mhealth Uhealth. 2021 Oct 12;9(10):e23663. doi: 10.2196/23663.
Recent falls prevention guidelines recommend early routine fall risk assessment among older persons.
The purpose of this study was to develop a Falls Screening Mobile App (FallSA), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability, and predictive validity as a self-screening tool to identify fall risk among Malaysian older persons.
FallSA acceptance was tested among 15 participants (mean age 65.93 [SD 7.42] years); its validity and reliability among 91 participants (mean age 67.34 [SD 5.97] years); discriminative ability and predictive validity among 610 participants (mean age 71.78 [SD 4.70] years). Acceptance of FallSA was assessed using a questionnaire, and it was validated against a comprehensive fall risk assessment tool, the Physiological Profile Assessment (PPA). Participants used FallSA to test their fall risk repeatedly twice within an hour. Its discriminative ability and predictive validity were determined by comparing participant fall risk scores between fallers and nonfallers and prospectively through a 6-month follow-up, respectively.
The findings of our study showed that FallSA had a high acceptance level with 80% (12/15) of older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (r=.518, P<.001) and agreement (k=.516, P<.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA also had good reliability (intraclass correlation .948; 95% CI .921-.966) and an internal consistency (α=.948, P<.001). FallSA score demonstrated a moderate to strong discriminative ability in classifying fallers and nonfallers. FallSA had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and area under the curve of 0.802.
These results suggest that FallSA is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA to self-screen for falls and thereafter to seek early prevention intervention.
最近的跌倒预防指南建议对老年人进行早期常规跌倒风险评估。
本研究旨在开发一种跌倒筛查移动应用程序(FallSA),以确定其在马来西亚老年人中的接受程度、同时效度、重测信度、判别能力和预测效度,作为自我筛查工具以识别跌倒风险。
在 15 名参与者(平均年龄 65.93 [SD 7.42] 岁)中测试了 FallSA 的接受程度;在 91 名参与者(平均年龄 67.34 [SD 5.97] 岁)中测试了其有效性和可靠性;在 610 名参与者(平均年龄 71.78 [SD 4.70] 岁)中测试了其判别能力和预测效度。使用问卷评估 FallSA 的接受程度,并将其与全面的跌倒风险评估工具生理概况评估(PPA)进行比较。参与者在一小时内重复使用 FallSA 两次测试其跌倒风险。通过比较跌倒者和非跌倒者的参与者跌倒风险评分以及通过 6 个月的前瞻性随访来确定其判别能力和预测效度。
我们的研究结果表明,FallSA 的接受程度很高,有 80%(12/15)的老年人认为它适合作为跌倒自我筛查工具。同时效度测试显示,与可接受的敏感性(80.4%)和特异性(71.1%)相比,具有显著中度相关性(r=.518,P<.001)和一致性(k=.516,P<.001)。FallSA 还具有良好的可靠性(组内相关系数.948;95%CI.921-.966)和内部一致性(α=.948,P<.001)。FallSA 评分在区分跌倒者和非跌倒者方面具有中等至强的判别能力。FallSA 对跌倒的预测效度具有阳性似然比 2.27、汇总敏感性 82%、特异性 64%和曲线下面积 0.802。
这些结果表明,FallSA 是一种有效且可靠的跌倒风险自我筛查工具。需要进一步的研究来赋予老年人或照顾者权力并使其使用 FallSA 进行自我筛查以识别跌倒风险,然后寻求早期预防干预。