Screening of dermatology drugs for aberrant use-patterns: An application of epidemiologic estimates and measures of inequality in drug use
- PMID: 38469942
- DOI: 10.1111/bcp.16037
Screening of dermatology drugs for aberrant use-patterns: An application of epidemiologic estimates and measures of inequality in drug use
Abstract
Aims: Dermatology treatments require adherence for safe and effective use. Real-world healthcare databases can reveal drug utilization patterns and uncover inappropriate or unexpected use. This study aimed to analyse dermatology drug utilization patterns using epidemiological and inequality measures, leveraging Danish nationwide registries. It also assessed the feasibility of this method for detecting aberrant drug use.
Methods: We formed a 2019 cohort of all patients treated for skin conditions through Danish healthcare registries. We calculated prevalence, incidence rates and treatment duration for dermatological drugs. Inequality in drug utilization was assessed using Lorenz curves, Gini coefficients and other measures.
Results: The study encompassed 1 021 255 patients using 94 dermatology drugs. Most usage aligned with 'expected clinical use', but we detected inequality, with some drugs having high Gini coefficients and disproportionate consumption by the top percentile of users. Notable findings included potential inappropriate antibiotic use, excessive topical corticosteroid use and unexpected drug use duration.
Conclusions: In Denmark, dermatology drugs are used primarily as anticipated, with minimal unexpected patterns. Specific follow-up is required to draw conclusions about inappropriate use. This approach demonstrates broad applicability for screening aberrant drug utilization.
Keywords: aberrant drug use; dermatology; drug utilization; epidemiology; inequality; screening.
© 2024 The Authors. British Journal of Clinical Pharmacology published by John Wiley & Sons Ltd on behalf of British Pharmacological Society.
Conflict of interest statement
Thomas Delvin is an employee of LEO Pharma A/S. Anette Bygum has been involved in research and educational activities with Takeda, CSL Behring, Biocryst, Eli Lilly, Pierre Fabre and Sanofi. Lars Christian Lund reports participation in research projects funded by Menarini Pharmaceuticals and LEO Pharma, all with funds paid to the institution where he was employed (no personal fees) and with no relation to the current work. Jacob Harbo Andersen has no conflicts of interest. Jesper Hallas reports participation in research projects funded by Alcon, Almirall, Astellas, Astra-Zeneca, Boehringer-Ingelheim, Novo Nordisk, Servier and LEO Pharma, all with funds paid to the institution where he was employed (no personal fees) and with no relation to the current proposal.
References
REFERENCES
-
- Rapalli VK, Waghule T, Gorantla S, Dubey SK, Saha RN, Singhvi G. Psoriasis: pathological mechanisms, current pharmacological therapies, and emerging drug delivery systems. Drug Discov Today. 2020;25(12):2212‐2226. doi:10.1016/j.drudis.2020.09.023
-
- Newsom M, Bashyam AM, Balogh EA, Feldman SR, Strowd LC. New and emerging systemic treatments for atopic dermatitis. Drugs. 2020;80(11):1041‐1052. doi:10.1007/s40265‐020‐01335‐7
-
- Gaist D, Tsiropoulos I, Sindrup SH, et al. Inappropriate use of sumatriptan: population based register and interview study. BMJ. 1998;316(7141):1352‐1353. doi:10.1136/bmj.316.7141.1352
-
- Pottegård A, Friis S, Christensen R dP, Habel LA, Gagne JJ, Hallas J. Identification of associations between prescribed medications and cancer: a nationwide screening study. EBioMedicine. 2016;7:73‐79. doi:10.1016/j.ebiom.2016.03.018
-
- Hallas J, Wang SV, Gagne JJ, Schneeweiss S, Pratt N, Pottegård A. Hypothesis‐free screening of large administrative databases for unsuspected drug‐outcome associations. Eur J Epidemiol. 2018;33(6):545‐555. doi:10.1007/s10654‐018‐0386‐8
MeSH terms
Substances
LinkOut - more resources
Full Text Sources