Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, 56124 Pisa, Italy.
Fondazione Toscana Gabriele Monasterio, 56124 Pisa, Italy.
Int J Environ Res Public Health. 2022 Jun 21;19(13):7553. doi: 10.3390/ijerph19137553.
Patients with rare diseases (RDs) need tailored, continuous, and multidisciplinary hospital care. This retrospective cohort study aimed to analyse the healthcare burden of RD patients using a multi-database approach, by linking the data of the Rare Diseases Registry of Tuscany with the regional hospital discharge database. The study population included 21,354 patients diagnosed with a RD between 1 January 2000 and 31 December 2017. The healthcare burden was evaluated for all the RDs during 2009-2018 period. The hospitalisation rate (per 1000) decreased over the years, ranging from 606.9 in 2009 (95% CI: 589.2-625.0) to 443.0 in 2018 (95% CI: 433.2-453.0). A decrease in the average length of stay (LOS) was observed in the earlier years, followed by an increase up to a steady trend (8.3 days in 2018). The patients with RDs of metabolism and the genitourinary system showed the highest hospitalisation rate (903.3 and 644.0 per 1000, respectively). The patients with rare immune system disorders and diseases of the skin and subcutaneous tissue showed the highest LOS (9.7 and 9.5 days, respectively). The methodological approach presented in this population-based study makes it possible to estimate the healthcare burden of RDs, which is crucial in the decision-making and planning aimed at improving patient care.
患者患有罕见疾病 (RDs) 需要量身定制、持续和多学科的医院护理。本回顾性队列研究旨在通过将托斯卡纳罕见病登记处的数据与区域医院出院数据库相链接,采用多数据库方法分析 RD 患者的医疗保健负担。研究人群包括 2000 年 1 月 1 日至 2017 年 12 月 31 日期间诊断为 RD 的 21,354 名患者。在 2009-2018 年期间评估了所有 RD 的医疗保健负担。住院率(每 1000 人)逐年下降,从 2009 年的 606.9(95%CI:589.2-625.0)降至 2018 年的 443.0(95%CI:433.2-453.0)。平均住院时间(LOS)在早期观察到下降,随后增加至稳定趋势(2018 年为 8.3 天)。代谢和生殖泌尿系统疾病患者的住院率最高(分别为 903.3 和 644.0 每 1000 人)。罕见免疫系统疾病和皮肤及皮下组织疾病患者的 LOS 最高(分别为 9.7 和 9.5 天)。本基于人群的研究中提出的方法使得评估 RD 的医疗保健负担成为可能,这对于旨在改善患者护理的决策和规划至关重要。