Abstract
Objectives: Explore the likelihood of healthcare professionals (HCPs) prescribing a new, novel or different to usual medication to patients with a newly diagnosed early onset or advanced stage neurodegenerative disease (ND), and identification of the theoretical behavioural determinants that underpin these predictors.
Design: A quantitative cross-sectional study using a newly developed survey underpinned by the Theoretical Domains Framework (TDF) was delivered online between September 2023 and March 2024.
Setting: All levels of healthcare where medication is prescribed for NDs across Austria, France, Germany, Italy, the Netherlands, Spain, Sweden and the UK.
Participants: Recruited predominately via a participation panel, HCPs who have prescribed medication for a ND in the past 2 years were eligible to take part, with 279 participants (66% male) completing the study in full.
Primary and secondary outcome measures: The primary outcome was HCPs’ likelihood of prescribing a new, novel or different to usual medication compared with their routine choice for patients with a newly diagnosed early onset or advanced stage ND. A secondary outcome was to identify factors aligned to the TDF that influenced prescribing and describe them using the Capability, Opportunity and Motivation – Behaviour (COM-B) model.
Results: HCPs were significantly more likely to consider prescribing outside of routine habit for patients with advanced stage ND compared to patients with new early onset diagnosis (60.8% [95% confidence interval (CI) 57.70, 63.95] vs 51.8% [95% CI 48.61, 55.05], respectively). Logistic regression models revealed a total of four factors that predicted prescribing. In the scenario with newly diagnosed patients, HCP intention (β = 0.324, 95% CI 4.75, 10.69), behavioural regulation (β = 0.191, 95% CI 1.57, 8.92), and social/professional role and identity (β = ‑0.184, 95% CI 1.57, 8.92) were each significant predictors of prescribing. In the scenario with patients with advanced stage ND, HCP intention also predicted prescribing (β = 0.234, 95% CI 31.02, 65.15), along with HCP belief about consequences (β = −0.145, 95% CI 2.73, 8.11). Thus, the TDF determinants that predicted prescribing indicate that COM-B capability (TDF behavioural regulation) and motivation (TDF intention, social/professional role and identity, and belief about consequences) domains may be relevant targets for changing prescribing habits.
Conclusions: There is a complex interplay of specific and generic predictors that influence prescribing for patients with a newly diagnosed early onset or advanced stage ND. Appropriate behaviour change frameworks that target HCPs’ capability and motivation should be considered to support changes towards the optimal use of new, novel or different to usual medication in the future.
Design: A quantitative cross-sectional study using a newly developed survey underpinned by the Theoretical Domains Framework (TDF) was delivered online between September 2023 and March 2024.
Setting: All levels of healthcare where medication is prescribed for NDs across Austria, France, Germany, Italy, the Netherlands, Spain, Sweden and the UK.
Participants: Recruited predominately via a participation panel, HCPs who have prescribed medication for a ND in the past 2 years were eligible to take part, with 279 participants (66% male) completing the study in full.
Primary and secondary outcome measures: The primary outcome was HCPs’ likelihood of prescribing a new, novel or different to usual medication compared with their routine choice for patients with a newly diagnosed early onset or advanced stage ND. A secondary outcome was to identify factors aligned to the TDF that influenced prescribing and describe them using the Capability, Opportunity and Motivation – Behaviour (COM-B) model.
Results: HCPs were significantly more likely to consider prescribing outside of routine habit for patients with advanced stage ND compared to patients with new early onset diagnosis (60.8% [95% confidence interval (CI) 57.70, 63.95] vs 51.8% [95% CI 48.61, 55.05], respectively). Logistic regression models revealed a total of four factors that predicted prescribing. In the scenario with newly diagnosed patients, HCP intention (β = 0.324, 95% CI 4.75, 10.69), behavioural regulation (β = 0.191, 95% CI 1.57, 8.92), and social/professional role and identity (β = ‑0.184, 95% CI 1.57, 8.92) were each significant predictors of prescribing. In the scenario with patients with advanced stage ND, HCP intention also predicted prescribing (β = 0.234, 95% CI 31.02, 65.15), along with HCP belief about consequences (β = −0.145, 95% CI 2.73, 8.11). Thus, the TDF determinants that predicted prescribing indicate that COM-B capability (TDF behavioural regulation) and motivation (TDF intention, social/professional role and identity, and belief about consequences) domains may be relevant targets for changing prescribing habits.
Conclusions: There is a complex interplay of specific and generic predictors that influence prescribing for patients with a newly diagnosed early onset or advanced stage ND. Appropriate behaviour change frameworks that target HCPs’ capability and motivation should be considered to support changes towards the optimal use of new, novel or different to usual medication in the future.
| Original language | English |
|---|---|
| Article number | e0353479 |
| Number of pages | 13 |
| Journal | PLoS ONE |
| Volume | 21 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 15 Jul 2026 |
Bibliographical note
© 2026 Begley et al . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.Data Access Statement
Data are freely available and can be accessed Aston University’s Open Access Data Repository by emailing [email protected] and is also available from the below repository link Senior, Carl and Thomas, Jason and Begley, Emma and Hind, Will (2026) Theory-based predictors of prescribing behaviour for neurodegenerative diseases: A cross-sectional survey with European healthcare professionals [Data set]. Aston University. Available from: https://doi.org/10.17036/researchdata.aston.ac.uk.00000690.Funding
Funding: This work was supported by an Innovate UK Knowledge Transfer Partnership (KTP) grant (ref 10011439, KTP number 13031) in partnership with Alpharmaxim (https://alpharmaxim.com/).
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Theory-based predictors of prescribing behaviour for neurodegenerative diseases: A cross-sectional survey with European healthcare professionals
Senior, C. (Creator), Thomas, J. M. (Creator), Begley, E. (Creator) & Hind, W. (Creator), Aston Data Explorer, 3 Jul 2026
DOI: 10.17036/researchdata.aston.ac.uk.00000690, https://researchdata.aston.ac.uk/id/eprint/690/
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