Geriatric Research Education and Clinical Center, William S. Middleton Memorial Veterans Hospital, Madison, WI.
Division of Geriatrics and Gerontology, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison.
Am J Speech Lang Pathol. 2023 Sep 11;32(5):2111-2127. doi: 10.1044/2023_AJSLP-22-00338. Epub 2023 Aug 11.
Exercise-based treatments may improve swallowing safety and efficiency; yet, it is not clearly understood which factors predict nonadherence to recommended treatment protocols. The aim of this study was to construct an algorithm for stratifying risk of nonadherence to a lingual strengthening dysphagia treatment program.
Using recursive partitioning, we created a classification tree built from a pool of sociodemographic, clinical, and functional status indicators to identify risk groups for nonadherence to an intensive lingual strengthening treatment program. Nonadherence, or noncompletion, was defined as not completing two or more follow-up sessions or a final session within 84 days.
The study cohort consisted of 243 Veterans enrolled in the Intensive Dysphagia Treatment program across six sites from January 2012 to August 2019. The overall rate of nonadherence in this cohort was 38%. The classification tree demonstrated good discriminate validity (C-statistic = 0.74) and contained eight groups from five variables: primary diagnosis, marital status, Penetration-Aspiration Scale (PAS) severity score, race/ethnicity, and age. Nonadherence risk was categorized as high (range: 69%-77%), intermediate (27%-33%), and low risk (≤ 13%-22%).
This study identified distinct risk groups for nonadherence to lingual strengthening dysphagia rehabilitation. Additional research is necessary to understand how these factors may drive nonadherence. With external validation and refinement through prospective studies, a clinically relevant risk stratification tool can be developed to identify patients who may be at high risk for nonadherence and provide targeted patient support to mitigate risk and provide for unmet needs.
基于运动的治疗方法可能会提高吞咽安全性和效率;然而,尚不清楚哪些因素可以预测患者对推荐治疗方案的不依从性。本研究旨在构建一种算法,对言语障碍治疗方案中不依从舌肌强化治疗方案的风险进行分层。
我们使用递归分区,从一组社会人口统计学、临床和功能状态指标中创建了一个分类树,以确定对强化舌肌治疗方案不依从的风险群体。不依从或不完成定义为在 84 天内未完成两次或更多次随访或最后一次治疗。
本研究队列包括 2012 年 1 月至 2019 年 8 月期间,在六个地点参加强化吞咽治疗计划的 243 名退伍军人。该队列的总体不依从率为 38%。分类树显示出良好的判别效度(C 统计量=0.74),包含五个变量的八个组:主要诊断、婚姻状况、渗透-吸入量表(PAS)严重程度评分、种族/民族和年龄。不依从风险分为高(范围:69%-77%)、中(27%-33%)和低风险(≤13%-22%)。
本研究确定了言语障碍康复治疗中不依从舌肌强化的不同风险群体。需要进一步研究以了解这些因素如何导致不依从。通过前瞻性研究进行外部验证和细化,可以开发出一种具有临床相关性的风险分层工具,以识别可能不依从风险较高的患者,并为他们提供有针对性的患者支持,以降低风险并满足未满足的需求。