Degli Esposti Luca, Buda Stefano, Nappi Carmela, Paoli Daniela, Perrone Valentina
CliCon S.r.l. - Health, Economics & Outcome Research, Ravenna, Italy.
Health-DB, Ravenna, Italy.
Risk Manag Healthc Policy. 2020 Dec 30;13:3179-3185. doi: 10.2147/RMHP.S265264. eCollection 2020.
Poor medication adherence leads to worsening of clinical outcomes and increases healthcare costs, especially in the context of chronic conditions. The effects of new COVID-19 infection and the measures taken in response to the outbreak are further increasing the concerns about medication adherence. Patients with chronic diseases, many of whom are older adults, have been strongly recommended to stay at home and avoid social contacts even with family members, who often provide support for regular use of therapies. Moreover, the mobilization of health personnel to the frontline of the COVID-19 infection could limit access to healthcare services. Within the Health-DB project, the Fail-To-Refill monitoring system was designed to evaluate the lack of adherence to chronic therapies in Italian clinical practice settings. Considering the date and dose coverage of last prescription, all patients due to refill this prescription for a chronic therapy in the last month were identified, and it was verified if they had the refill. The proposed future analysis, based on the data linkage between the current administrative flows of the Italian Local Health Units involved, will be carried out on a monthly basis from the beginning of the infection, and the "post-Covid-19" results will be compared with "pre-COVID-19" results, calculated for the last three years for patients with chronic therapies. Preliminary data herein presented showed a trend of increased failed refill during the months of lockdown for lipid-lowering and biologic therapies. The pre-COVID-19 trend compared to that of post-COVID-19 in the next months will be useful to estimate the percentage of failure to refill truly related to COVID-19 and on the measures adopted. The identification of patients that do not refill their prescriptions allows healthcare professionals to put in place actions aimed to promptly correct the lack of adherence, thus reducing the associated negative outcomes.
用药依从性差会导致临床结果恶化并增加医疗成本,在慢性病的情况下尤其如此。新型冠状病毒肺炎(COVID-19)感染以及针对疫情采取的措施进一步加剧了人们对用药依从性的担忧。患有慢性病的患者,其中许多是老年人,被强烈建议待在家中,避免社交接触,即使是与经常为常规治疗提供支持的家庭成员。此外,将卫生人员调往COVID-19感染一线可能会限制获得医疗服务的机会。在“健康数据库”(Health-DB)项目中,“未重新配药”监测系统旨在评估意大利临床实践环境中慢性治疗的依从性不足情况。考虑到上次处方的日期和剂量覆盖情况,确定了上个月所有应重新配药进行慢性治疗的患者,并核实他们是否已重新配药。基于意大利地方卫生单位当前行政流程之间的数据关联,拟议的未来分析将从感染开始每月进行一次,“COVID-19后”的结果将与“COVID-19前”的结果进行比较,后者是对过去三年接受慢性治疗的患者计算得出的。本文呈现的初步数据显示,在封锁期间,降脂和生物治疗的未重新配药情况呈上升趋势。将COVID-19前的趋势与未来几个月COVID-19后的趋势进行比较,将有助于估计与COVID-19真正相关的未重新配药百分比以及所采取的措施。识别未重新配药的患者可使医疗专业人员采取行动,及时纠正依从性不足的问题,从而减少相关的负面后果。