Background/Aims Routine collection of electronic patient reported outcome measures (ePROMs) can facilitate dynamic disease activity monitoring in patients with inflammatory arthritis (IA). In a real-world cohort of patients with IA, we describe patient characteristics associated with ever engaging with ePROMs, evaluate whether there are distinct groups of patients with similar engagement trajectories over time and identify patient characteristics associated with these groups. Methods We conducted a prospective observational study based on routinely collected data from a remote monitoring platform (RMP) at Guy’s and St Thomas’ NHS Foundation Trust in London, UK, between 18 December 2018 and 15 August 2022. Patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA) and axial spondyloarthritis (AxSpA) were sent text message requests to complete 4-weekly disease specific PROMs. A patient was defined as an engager if they completed at least one PROM episode during the study period of 68 weeks. Logistic regression (LR) was used to identify associations between baseline characteristics and any PROM engagement. Latent class growth modelling (LCGM) was used to determine PROM engagement trajectories, with multinomial LR exploring baseline characteristic associations with latent trajectory class membership. Results Of 1,203 patients on RMP in the study period, 1,129 met the inclusion criteria, of which 91.5% (95% CI 89.7% - 93.0%) completed at least one PROM. Mean age was 49 years and 64% were female. 60% had RA, 24.4% had PsA and 15.7% had AxSpA. Overall engagement was relatively high throughout, with continued engagement >60% over the remaining 68 weeks. Older patients (adj OR 0.98, 95% CI 0.96 - 0.99), those from more deprived areas (adj OR 0.80, 95% CI 0.68 - 0.96) and those who attended <80% of their outpatient visits in the preceding 3 years (adj OR 0.48, 95% CI 0.26 - 0.89) were less likely to complete a PROM. Four latent trajectory classes were identified: consistent engagers (38.1%), high-variable engagers (24.3%), low-variable engagers (19.5%) and never & dis-engagers (18.1%), with a mean (SD) overall response rate per class of 96.5% (7.1), 74.1% (12.1), 35.6% (13.8) and 7.5% (12.0) respectively. Compared to the consistent engager class, the two variable engager classes were significantly more likely to be younger at baseline, whilst the never & dis-engager class was more likely to be from a deprived area. Having an IA type of PsA and previous clinic non-attendance was associated with membership of the three lower engaging classes. Conclusion We have described key patient characteristics that influence engagement with ePROMs in a real-world cohort of patients with IA, and patterns of engagement over time. Overall engagement was very high with >90% of patients enrolled engaging with PROM completion. There is still scepticism among clinicians about remote monitoring’s ability to work, and our findings should be reassuring: patients do engage with ePROMs over time. Disclosure N. Arumalla: None. Z. Yang: None. S. Norton: None. M. Crooks: None. A. Khan: None. R. Fitzgerald: None. R. Gilligan: None. E. Lindberg: None. T. Tabibi: None. Y.L. Man: None. S. Subesinghe: None. J.B. Galloway: Consultancies; Abbvie, Biovitrum, BMS, Celgene, Chugai, Galapagos, Gilead, Janssen, Lilly, Pfizer, Novartis, Roche, Sanofi, Sobi, UCB. Honoraria; Abbvie, Biovitrum, BMS, Celgene, Chugai, Galapagos, Gilead, Janssen, Lilly, Pfizer, Novartis, Roche, Sanofi, Sobi, UCB. T. Garrood: Shareholder/stock ownership; Serac healthcare. Honoraria; Abbvie, UCB. Grants/research support; Versus Arthritis, Pfizer, Gilead, Guy's and St Thomas' Charity, NHSX. Other; Fresnius-Kabi.

中文翻译：

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OA41 使用潜在类别增长模型探索炎症性关节炎患者与电子患者报告的结果测量的患者参与模式

背景/目标 定期收集电子患者报告结果测量 (ePROM) 可以促进炎症性关节炎 (IA) 患者的动态疾病活动监测。在现实世界的 IA 患者队列中，我们描述了与曾经使用过 ePROM 相关的患者特征，评估是否存在随时间推移具有相似参与轨迹的不同患者组，并确定与这些组相关的患者特征。方法 我们根据 2018 年 12 月 18 日至 2022 年 8 月 15 日期间从英国伦敦盖伊和圣托马斯 NHS 基金会信托基金远程监控平台 (RMP) 定期收集的数据进行了一项前瞻性观察研究。 类风湿性关节炎 (RA) 患者、银屑病关节炎 (PsA) 和中轴型脊柱关节炎 (AxSpA) 收到短信请求，要求完成每 4 周针对特定疾病的 PROM。如果患者在 68 周的研究期间至少完成一次 PROM 发作，则被定义为参与者。逻辑回归 (LR) 用于识别基线特征与任何 PROM 参与度之间的关联。潜在类别增长模型 (LCGM) 用于确定 PROM 参与轨迹，并使用多项 LR 探索与潜在轨迹类别成员资格的基线特征关联。结果 在研究期间接受 RMP 的 1,203 名患者中，1,129 名患者符合纳入标准，其中 91.5% (95% CI 89.7% - 93.0%) 完成了至少一次 PROM。平均年龄为 49 岁，其中 64% 为女性。 60% 患有 RA，24.4% 患有 PsA，15.7% 患有 AxSpA。整个过程中总体参与度相对较高，在剩余 68 周内持续参与度超过 60%。老年患者（调整 OR 0.98，95% CI 0.96 - 0.99）、来自较贫困地区的患者（调整 OR 0.80，95% CI 0.68 - 0.96）以及过去 3 年门诊就诊率低于 80% 的患者（ adj OR 0.48, 95% CI 0.26 - 0.89) 完成 PROM 的可能性较小。确定了四种潜在轨迹类别：一致参与者 (38.1%)、高变量参与者 (24.3%)、低变量参与者 (19.5%) 以及从不和不参与 (18.1%)，总体响应平均值 (SD)每班的比率分别为 96.5% (7.1)、74.1% (12.1)、35.6% (13.8) 和 7.5% (12.0)。与一致参与类别相比，两个可变参与类别在基线上明显更年轻，而从不和不参与类别更有可能来自贫困地区。患有 IA 型银屑病关节炎且之前未到诊所就诊与三个较低参与类别的成员资格相关。结论 我们描述了现实世界 IA 患者队列中影响 ePROM 参与的关键患者特征，以及随时间推移的参与模式。总体参与度非常高，超过 90% 的患者参与了 PROM 的完成。临床医生仍然对远程监控的工作能力持怀疑态度，我们的研究结果应该令人放心：随着时间的推移，患者确实会使用 ePROM。披露 N. Arumalla：无。杨子：没有。 S.诺顿：没有。 M.克鲁克斯：没有。 A·汗：没有。 R·菲茨杰拉德：没有。 R.吉利根：没有。 E.林德伯格：没有。 T. Tabibi：没有。 YL 男：没有。 S. Subesinghe：没有。 JB 加洛韦：咨询；艾伯维、Biovitrum、BMS、新基、中外、加拉帕戈斯、吉利德、杨森、礼来、辉瑞、诺华、罗氏、赛诺菲、Sobi、UCB。酬金；艾伯维、Biovitrum、BMS、新基、中外、加拉帕戈斯、吉利德、杨森、礼来、辉瑞、诺华、罗氏、赛诺菲、Sobi、UCB。 T. Garrood：股东/股权；塞拉克医疗保健。酬金；艾伯维，UCB。赠款/研究支持；与关节炎、辉瑞、吉利德、盖伊和圣托马斯慈善机构、NHSX 相比。其他;弗雷斯纽斯-卡比。