Carolina Ear, Nose & Throat-Sinus and Allergy Center, PA, Hickory, North Carolina, U.S.A.
Department of Otolaryngology-Head and Neck Surgery, University of North Carolina School of Medicine, Chapel Hill, North Carolina, U.S.A.
Laryngoscope. 2024 Dec;134 Suppl 11:S1-S14. doi: 10.1002/lary.31690. Epub 2024 Aug 14.
Allergen-specific immunotherapy (AIT) is an effective treatment for allergic disease but requires long treatment duration and premature cessation is of significant concern. Drivers of premature cessation remain poorly understood and no predictive models currently exist. We hypothesized that a novel patient journey map and de novo real-time patient electronic health status instruments (eHSIs) could effectively capture patient perceived cost, commitment, and treatment benefit to identify individual patients at risk for premature AIT cessation.
Cross-Sectional Observational Study.
A single Otolaryngology allergy immunotherapy (AIT) program was studied over 5 years. Instances of premature cessation were classified. An Otolaryngic Allergy Patient Journey Map was developed to identify and target automated, real-time, patient-reported, electronic health status instrument responses.
Data capture was robust, with 61,406 data points collected and an eHSI survey completion rate of 81.3%. However, based on correlation analysis and logistic regression alone, real-time eHSI responses were not predictive of individual patient premature AIT cessation. A total of 597 AIT patients discontinued treatment prematurely: 64.4% stopping within the first year. Specifically, 74.0%-76.3% of subcutaneous AIT patients and 88.5%-100% of sublingual AIT patients did not complete the minimum recommended treatment duration of 3 years.
Patient journey mapping can aid in the design of longitudinal care models and patient engagement strategies. Yet, eHSI patient responses of perception of AIT cost, benefit, and convenience did not correlate with the likelihood of premature treatment cessation. Our imperfect clinical intuition may not account for the dynamic drivers of premature AIT discontinuation. Future development of predictive tools feed by large patient-centric data sets may be incorporated into routine practice resulting in delivery of a more streamlined and personalized approach with reduced premature AIT cessation, improved outcomes, and reduced health care expenditures.
NA Laryngoscope, 134:S1-S14, 2024.
变应原特异性免疫疗法(AIT)是治疗过敏疾病的有效方法,但需要长期治疗,提前终止治疗是一个令人关注的重要问题。提前终止治疗的驱动因素仍了解甚少,目前尚无预测模型。我们假设,一种新的患者就医路径图和新的实时患者电子健康状况仪器(eHSI)可以有效地捕捉患者对成本、承诺和治疗获益的感知,从而确定有提前终止 AIT 风险的个体患者。
横断面观察性研究。
研究了一个单一的耳鼻喉科过敏免疫疗法(AIT)项目超过 5 年。提前终止治疗的情况进行了分类。开发了耳鼻喉过敏患者就医路径图,以识别和针对自动化、实时、患者报告的电子健康状况仪器的响应。
数据采集稳健,共收集了 61406 个数据点,eHSI 调查完成率为 81.3%。然而,仅基于相关性分析和逻辑回归,实时 eHSI 响应并不能预测个体患者提前终止 AIT 治疗。共有 597 名 AIT 患者提前终止治疗:64.4%在第一年就停止了治疗。具体而言,皮下 AIT 患者中 74.0%-76.3%和舌下 AIT 患者中 88.5%-100%没有完成至少 3 年的推荐治疗时间。
患者就医路径图可以帮助设计纵向护理模型和患者参与策略。然而,AIT 成本、获益和便利性感知的 eHSI 患者响应与提前治疗终止的可能性没有相关性。我们不完善的临床直觉可能无法解释 AIT 提前终止的动态驱动因素。由大型以患者为中心的数据集驱动的预测工具的未来发展可能会纳入常规实践,从而实现更精简和个性化的方法,减少 AIT 提前终止,改善结果,并降低医疗保健支出。
无 喉镜,134:S1-S14,2024.