ArticleJournal of pharmaceutical policy and practice2024
Factors influencing healthcare providers' behaviours in deprescribing: a cross-sectional study.
Article in Journal of pharmaceutical policy and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
4 citing papers in PubMed.
- Proton Pump Inhibitors Prescribing Behaviors and Rationalization Strategies Among Healthcare Providers in Southeast Asia.Pharmacology research & perspectives · 2026Article
- Polypharmacy as a Chronic Condition: A Diagnostic Mindset for Safer and Smarter Care.Journal of clinical medicine · 2025Article
- Reframing Polypharmacy: Empowering Medical Students to Manage Medication Burden as a Chronic Condition.Clinics and practice · 2025Article
- Engagement of outpatient providers in a deprescribing trial for hospitalized older patients transitioning to post-acute care facilities.Health literacy and communication open · 2025Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Deprescribing serves as a pivotal measure to mitigate the drug-related problem due to polypharmacy. This study aimed to map the factors influencing healthcare providers' deprescribing decision using the Behaviour Change Wheel framework and develop an innovative conceptual model to support deprescribing practice. Methods: A cross-sectional online survey targeting doctors and pharmacists was conducted to assess the influence of various factors on healthcare providers' comfort in recommending deprescribing. The conceptual model was formulated, based on the existing deprescribing framework and the Behaviour Change Wheel. The model's robustness was scrutinised through Partial Least Squares Structural Equation Modeling (PLS-SEM), and model-fitting indices were employed to obtain the best-fit model. Results: A total of 736 responses were analysed with the final best-fit model consisting of 24 items in 5 constructs ( Conclusion: The deprescribing behaviours of healthcare professionals are influenced by an intricate interplay of patient, prescriber, and system factors. Enhancing deprescribing practices necessitates a comprehensive strategy that encompasses providers and patients' education, the development of structured deprescribing guidelines, the implementation of deprescribing support tools, and the enhancement of communication between healthcare providers.
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Registered trials
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