COVID-19法规对重组人类生长激素治疗依从性的影响:来自现实世界数据的证据

P. van Dommelen, R. Baños, L. Arnaud, Q. Le Masne, E. Koledova
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引用次数: 0

摘要

COVID-19期间的全球法规对患有慢性疾病的儿科患者的自我管理产生了积极和消极的影响。我们使用easypod™connect生态系统中提取的2019年3月至2020年2月(COVID-19之前)和2020年3月至2021年2月(COVID-19期间)的真实依从性数据,研究了法规对生长障碍儿科患者对重组人生长激素(r-hGH)治疗依从性的影响。研究人员分析了三项监管措施的数据:严格指数(SI)、学校关闭和居家教育。根据第75个百分位数,平均SI以及在COVID-19期间需要关闭学校或留在家中的天数比例被划分为高与中/低。依从性分为最佳(≥85%)和次优(<85%)。有8915例患者在COVID-19之前和7606例患者的依从性数据。高SI(平均值≥68)和高要求的学校关闭比例(≥88%)导致COVID-19期间与COVID-19前相比,最佳依从性比例增加(p < 0.001)。居家要求没有统计学意义上的显著影响(p = 0.13)。在互联数字卫生技术的支持下,严格的COVID-19法规提高了生长障碍患者对r-hGH治疗的依从性。深入了解患者在这段时间的行为有助于了解潜在的影响和策略,以提高长期坚持使用r-hGH。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of COVID-19 Regulations on Adherence to Recombinant Human Growth Hormone Therapy: Evidence from Real-World Data
Worldwide regulations during COVID-19 positively and negatively impacted self-management in paediatric patients with chronic medical conditions. We investigated the impact of regulations on adherence to recombinant human growth hormone (r-hGH) therapy in paediatric patients with growth disorders, using real-world adherence data extracted March 2019–February 2020 (before COVID-19) and March 2020–February 2021 (during COVID-19) from the easypod™ connect ecosystem. Data from three measures of regulations were analysed: stringency index (SI), school closure and stay-at-home. The mean SI, and the proportion of days with required school closure or stay-at-home during COVID-19 were categorised as high versus medium/low based on the 75th percentile. Adherence was categorised as optimal (≥85%) versus suboptimal (<85%). Adherence data were available for 8915 patients before and 7606 patients during COVID-19. A high SI (mean ≥68) and a high proportion of required school closure (≥88%) resulted in an increase in the proportion of optimal adherence during COVID-19 versus pre-COVID-19 (p < 0.001). Stay-at-home requirements showed no statistically significant effect (p = 0.13). Stringent COVID-19 regulations resulted in improved adherence to r-hGH therapy in patients with growth disorders, supported by connected digital health technologies. Insights into patient behavior during this time are useful to understand potential influences and strategies to improve long-term adherence to r-hGH.
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