Williams Hants, Steinberg Sarah, Leon Kendall, Vingum Ryan, Hu Mengyao, Berzin Robin, Hagg Heather, Hanaway Patrick
Applied Health Informatics, School of Health Professions, Stony Brook University, Stony Brook, NY, United States.
Parsley Health, New York, NY, United States.
JMIR Form Res. 2024 Feb 16;8:e53316. doi: 10.2196/53316.
Approximately 60% of US adults live with chronic disease, imposing a significant burden on patients and the health care system. With the rise of telehealth, patient-reported outcomes measures (PROMs) have emerged as pivotal tools for managing chronic disease. While numerous PROMs exist, few have been designed explicitly for telehealth settings. The Parsley Symptom Index (PSI) is an electronic patient-reported outcome measure (ePROM) developed specifically for telehealth environments.
Our aim is to determine whether the PSI predicts changes in the established Patient-Reported Outcomes Measurement Information System-10 (PROMIS-10) Global Health, a 10-question short form.
We conducted a retrospective cohort study using data from 367 unique patients, amassing 1170 observations between August 30, 2017, and January 30, 2023. Patients completed the PSI and the PROMIS-10 multiple times throughout the study period. Using univariate regression models, we assess the predictive criterion validity of the PSI against PROMIS-10 scores.
This study revealed significant relationships between the PSI and PROMIS-10 physical and mental health scores through comprehensive univariate analyses, thus establishing support for the criterion validity of the PSI. These analyses highlighted the PSI's potential as an insightful tool for understanding and predicting both mental and physical health dimensions.
Our findings emphasize the importance of the PSI in capturing the nuanced interactions between symptomatology and health outcomes. These insights reinforce the value of the PSI in clinical contexts and support its potential as a versatile tool in both research and practice.
约60%的美国成年人患有慢性病,给患者和医疗保健系统带来了沉重负担。随着远程医疗的兴起,患者报告结局测量指标(PROMs)已成为管理慢性病的关键工具。虽然存在众多PROMs,但专门为远程医疗环境设计的却很少。欧芹症状指数(PSI)是一种专门为远程医疗环境开发的电子患者报告结局测量指标(ePROM)。
我们的目的是确定PSI是否能预测既定的患者报告结局测量信息系统10项简表(PROMIS - 10)全球健康状况的变化。
我们进行了一项回顾性队列研究,使用了来自367名独特患者的数据,在2017年8月30日至2023年1月30日期间积累了1170次观察结果。在整个研究期间,患者多次完成PSI和PROMIS - 10。我们使用单变量回归模型,评估PSI相对于PROMIS - 10分数的预测标准效度。
通过全面的单变量分析,本研究揭示了PSI与PROMIS - 10身心健康分数之间的显著关系,从而为PSI的标准效度提供了支持。这些分析突出了PSI作为理解和预测心理和身体健康维度的有洞察力工具的潜力。
我们的研究结果强调了PSI在捕捉症状学与健康结局之间细微相互作用方面的重要性。这些见解强化了PSI在临床环境中的价值,并支持其作为研究和实践中通用工具的潜力。