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A Systematic Review of Nudge Interventions to Optimize Medication Prescribing
Background: The benefits of medication optimization are largely uncontroversial but difficult to achieve. Behavior change interventions aiming to optimize prescriber medication-related decisions, which do not forbid any option and that do not significantly change financial incentives, offer a promis...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822212/ https://www.ncbi.nlm.nih.gov/pubmed/35145411 http://dx.doi.org/10.3389/fphar.2022.798916 |
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author | Talat, Usman Schmidtke, Kelly Ann Khanal, Saval Chan, Amy Turner, Alice Horne, Robert Chadborn, Tim Gold, Natalie Sallis, Anna Vlaev, Ivo |
author_facet | Talat, Usman Schmidtke, Kelly Ann Khanal, Saval Chan, Amy Turner, Alice Horne, Robert Chadborn, Tim Gold, Natalie Sallis, Anna Vlaev, Ivo |
author_sort | Talat, Usman |
collection | PubMed |
description | Background: The benefits of medication optimization are largely uncontroversial but difficult to achieve. Behavior change interventions aiming to optimize prescriber medication-related decisions, which do not forbid any option and that do not significantly change financial incentives, offer a promising way forward. These interventions are often referred to as nudges. Objective: The current systematic literature review characterizes published studies describing nudge interventions to optimize medication prescribing by the behavioral determinants they intend to influence and the techniques they apply. Methods: Four databases were searched (MEDLINE, Embase, PsychINFO, and CINAHL) to identify studies with nudge-type interventions aiming to optimize prescribing decisions. To describe the behavioral determinants that interventionists aimed to influence, data were extracted according to the Theoretical Domains Framework (TDF). To describe intervention techniques applied, data were extracted according to the Behavior Change Techniques (BCT) Taxonomy version 1 and MINDSPACE. Next, the recommended TDF-BCT mappings were used to appraise whether each intervention applied a sufficient array of techniques to influence all identified behavioral determinants. Results: The current review located 15 studies comprised of 20 interventions. Of the 20 interventions, 16 interventions (80%) were effective. The behavior change techniques most often applied involved prompts (n = 13). The MINDSPACE contextual influencer most often applied involved defaults (n = 10). According to the recommended TDF-BCT mappings, only two interventions applied a sufficient array of behavior change techniques to address the behavioral determinants the interventionists aimed to influence. Conclusion: The fact that so many interventions successfully changed prescriber behavior encourages the development of future behavior change interventions to optimize prescribing without mandates or financial incentives. The current review encourages interventionists to understand the behavioral determinants they are trying to affect, before the selection and application of techniques to change prescribing behaviors. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/], identifier [CRD42020168006]. |
format | Online Article Text |
id | pubmed-8822212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88222122022-02-09 A Systematic Review of Nudge Interventions to Optimize Medication Prescribing Talat, Usman Schmidtke, Kelly Ann Khanal, Saval Chan, Amy Turner, Alice Horne, Robert Chadborn, Tim Gold, Natalie Sallis, Anna Vlaev, Ivo Front Pharmacol Pharmacology Background: The benefits of medication optimization are largely uncontroversial but difficult to achieve. Behavior change interventions aiming to optimize prescriber medication-related decisions, which do not forbid any option and that do not significantly change financial incentives, offer a promising way forward. These interventions are often referred to as nudges. Objective: The current systematic literature review characterizes published studies describing nudge interventions to optimize medication prescribing by the behavioral determinants they intend to influence and the techniques they apply. Methods: Four databases were searched (MEDLINE, Embase, PsychINFO, and CINAHL) to identify studies with nudge-type interventions aiming to optimize prescribing decisions. To describe the behavioral determinants that interventionists aimed to influence, data were extracted according to the Theoretical Domains Framework (TDF). To describe intervention techniques applied, data were extracted according to the Behavior Change Techniques (BCT) Taxonomy version 1 and MINDSPACE. Next, the recommended TDF-BCT mappings were used to appraise whether each intervention applied a sufficient array of techniques to influence all identified behavioral determinants. Results: The current review located 15 studies comprised of 20 interventions. Of the 20 interventions, 16 interventions (80%) were effective. The behavior change techniques most often applied involved prompts (n = 13). The MINDSPACE contextual influencer most often applied involved defaults (n = 10). According to the recommended TDF-BCT mappings, only two interventions applied a sufficient array of behavior change techniques to address the behavioral determinants the interventionists aimed to influence. Conclusion: The fact that so many interventions successfully changed prescriber behavior encourages the development of future behavior change interventions to optimize prescribing without mandates or financial incentives. The current review encourages interventionists to understand the behavioral determinants they are trying to affect, before the selection and application of techniques to change prescribing behaviors. Systematic Review Registration: [https://www.crd.york.ac.uk/prospero/], identifier [CRD42020168006]. Frontiers Media S.A. 2022-01-25 /pmc/articles/PMC8822212/ /pubmed/35145411 http://dx.doi.org/10.3389/fphar.2022.798916 Text en Copyright © 2022 Talat, Schmidtke, Khanal, Chan, Turner, Horne, Chadborn, Gold, Sallis and Vlaev. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Talat, Usman Schmidtke, Kelly Ann Khanal, Saval Chan, Amy Turner, Alice Horne, Robert Chadborn, Tim Gold, Natalie Sallis, Anna Vlaev, Ivo A Systematic Review of Nudge Interventions to Optimize Medication Prescribing |
title | A Systematic Review of Nudge Interventions to Optimize Medication Prescribing |
title_full | A Systematic Review of Nudge Interventions to Optimize Medication Prescribing |
title_fullStr | A Systematic Review of Nudge Interventions to Optimize Medication Prescribing |
title_full_unstemmed | A Systematic Review of Nudge Interventions to Optimize Medication Prescribing |
title_short | A Systematic Review of Nudge Interventions to Optimize Medication Prescribing |
title_sort | systematic review of nudge interventions to optimize medication prescribing |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822212/ https://www.ncbi.nlm.nih.gov/pubmed/35145411 http://dx.doi.org/10.3389/fphar.2022.798916 |
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