Modelling of patient journey in chronic spontaneous urticaria: Increasing awareness and education by shorten patients' disease journey in Germany

Author:

Maurer Marcus12ORCID,Augustin Matthias3ORCID,Bauer Sabine4,Ekanayake‐Bohlig Swarna5,Kircher Philipp6,Knöll Anja7,Kramps Thomas8,Kurzen Hjalmar9,Laemmel Sonja10,Novak Natalija11,Oppel Eva12,Pirouzmandi Lal13,Rebhan Michael14,Reimnitz Ulrich15,Richter‐Huhn Grit16,Schwarz Beate17,Schwichtenberg Uwe18,Staubach Petra19,Termeer Christian2021,Thielen Antje8,Varga Katarina22,von Bubnoff Dagmar23,Zink Alexander2425ORCID,Gmeiner Benjamin8,Nathan Petra8ORCID

Affiliation:

1. Institute of Allergology Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt‐Universität zu Berlin Berlin Germany

2. Immunology and Allergology Fraunhofer Institute for Translational Medicine and Pharmacology ITMP Berlin Germany

3. Universitätsklinikum Hamburg Eppendorf, IVDP Hamburg Germany

4. Urtikaria‐Helden, gUG Koblenz Germany

5. MENSINGDERMA Research Hamburg Germany

6. St. Ulrich‐Apotheke Peißenberg Germany

7. Hautarztpraxis Falkensee Germany

8. Novartis Pharma GmbH Nuremberg Germany

9. Haut‐ und Laerzentrum Freising Freising Germany

10. Deutscher Allergie‐ und Asthmabund e.V. – DAAB Berlin Germany

11. Department of Dermatology and Allergy University Hospital Bonn Bonn Germany

12. Department of Dermatology and Allergology University Hospital, LMU Munich Munich Germany

13. Praxis Nettlingen Sölde Germany

14. Novartis Institute for Biomedical Research, DAX Translational Research & Data Science Basel Switzerland

15. Praxis Schwerin Schwerin Germany

16. Hautarztpraxis Dresden Dresden Germany

17. Hautarztpraxis Langenau Langenau Germany

18. Derma‐Nord Hautarztpraxis Bremen Bremen Germany

19. Department of Dermatology University Medical Center Mainz Mainz Germany

20. Praxis Stuttgart Germany

21. Department of Dermatology University of Freiburg Freiburg Germany

22. Praxis Seifhennersdorf Seifhennersdorf Germany

23. Department Dermatology, Allergology and Venereology University Medical Center Lübeck Lübeck Germany

24. Klinik und Poliklinik für Dermatologie und Allergologie am Biederstein, Fakultät für Medizin Technische Universität München Munich Germany

25. Division of Dermatology and Venereology, Department of Medicine Solna Karolinska Institute Stockholm Sweden

Abstract

AbstractBackgroundChronic spontaneous urticaria (CSU) is both physically and emotionally stressful, and guideline recommendations are often not optimally implemented in clinical practice. The objective of this study was to provide an overview on the patient journey in CSU and to develop a mathematical model based on solid data.MethodsThe journey of CSU patients in Germany was traced through literature review and expert meetings that included medical experts, pharmacists and representatives of patient organizations. The current situation's main challenges in the patient journey (education, collaboration and disease management) were discussed in depth. Then, a probabilistic model was developed in a co‐creation approach to simulate the impact of three potential improvement strategies: (1) patient education campaign, (2) medical professional education programme and (3) implementation of a disease management programme (DMP).ResultsChronic spontaneous urticaria patients are severely burdened by delays in diagnosis and optimal medical care. Our simulation indicates that in Germany, it takes on average of 3.8 years for patients to achieve disease control in Germany. Modelling all three optimization strategies resulted in a reduction to 2.5 years until CSU symptom control. On a population level, the proportion of CSU patients with disease control increased from 44.2% to 58.1%.ConclusionIn principle, effective CSU medications and a disease‐specific guideline are available. However, implementation of recommendations is lagging in practice. The approach of quantitative modelling of the patient journey validates obstacles and shows a clear effect of multiple interventions on the patient journey. The data generated by our simulation can be used to identify strategies for improving patient care. Our approach might helping in understanding and improving the management of patients beyond CSU.

Funder

Novartis Pharma

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3