Literature DB >> 34098000

Leveraging behavioral economics to promote treatment adherence: A primer for the practicing dermatologist.

Michael J Woodbury1, Jeffrey M Cohen2, Joseph F Merola3, Lourdes M Perez-Chada4.   

Abstract

The problem of suboptimal treatment adherence among patients with dermatologic or other diseases has not been adequately addressed in health care. Despite a wide range of efficacious therapies, nonadherence remains a primary driver of suboptimal clinical outcomes. Novel solutions to address this unmet need can be found in behavioral economics. By leveraging our understanding of human decision-making, we may better promote treatment adherence, thereby improving quality of life and decreasing economic burdens. Behavioral economics has been studied extensively in relation to topics such as health policy and health behaviors; however, there is a dearth of research applying this approach to chronic diseases and only a handful within dermatology. We conducted a scoping review in PubMed to identify articles that discuss behavioral economics and its application to treatment adherence in dermatologic patients, with a particular focus on psoriasis, followed by a summary of key ethical considerations. We found that such principles can be employed in cost-effective, scalable interventions that improve patient adherence to a range of medical therapies and lifestyle modifications.
Copyright © 2021 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  adherence; anchoring; behavioral economics; decoy effect; dermatology; framing; incentives; loss aversion; precommitment; present bias; psoriasis; quality-of-life; regret aversion; status quo bias; treatment outcome

Mesh:

Year:  2021        PMID: 34098000     DOI: 10.1016/j.jaad.2021.05.049

Source DB:  PubMed          Journal:  J Am Acad Dermatol        ISSN: 0190-9622            Impact factor:   15.487


  2 in total

1.  Strategies to Optimize Adherence in Patients with Mycosis Fungoides.

Authors:  Warren H Chan; Daniel J Lewis; Madeleine Duvic; Steven R Feldman
Journal:  Cells       Date:  2021-12-30       Impact factor: 6.600

2.  Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study.

Authors:  Samuel W Terman; Joshua D Niznik; Geertruida Slinger; Willem M Otte; Kees P J Braun; Carole E Aubert; Wesley T Kerr; Cynthia M Boyd; James F Burke
Journal:  BMC Neurol       Date:  2022-09-01       Impact factor: 2.903

  2 in total

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