Evaluation of disease burden, patient journey, unmet diagnosis and treatment needs of patients with HIP and knee osteoarthritis in Turkey: A study through Delphi Methodology

土耳其髋关节和膝骨关节炎患者的疾病负担、就医历程、未满足的诊断和治疗需求评估:一项基于德尔菲法的研究

阅读:1

Abstract

OBJECTIVE: To get information-driven insights from expert physicians regarding multiple aspects of the patient journey in knee and hip OA and establish a consensus for future studies and decision tree models in Turkey. DESIGN: 157 questions were asked in total during this three-round modified Delphi-method panel to 10 physical medicine and rehabilitation specialists (2 have rheumatology and 3 have algology subspeciality), one orthopaedic surgeon and one algology specialist from anaesthesia specialty background. A consensus was achieved when 80% of the panel members agreed with an item. Contradictions between different disciplines were accepted as a non-consensus factor. RESULTS: Panellists agreed that American College of Rheumatology classification criteria is mostly sufficient to provide an OA diagnosis in clinical practice, OA patients with ≥5 Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain or physical function score can be defined as moderate-to-severe OA if they have an additional ≥2 Kellgren-Lawrence (KL) score, a minimum improvement of 30% from baseline in WOMAC pain or function subscales or in PGA score can be accepted as moderate treatment response where ≥50% improvement from baseline in those scores as substantial response. Panellists stated that arthroplasty procedures need to be delayed as long as possible, but this delay should not jeopardize a beneficial and successful operation. CONCLUSIONS: These findings show that there is a significant disease burden, unmet treatment needs for patients with moderate-to-severe OA in Turkey from experts' perspective. Therefore, an updated systematic approach and decision tree models are needed to be implemented.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。