Evidence map›Paper›PMID 39971601›Full record

ArticleBMJ open2025

Can behavioural science be used to understand factors that influence the prescription choice for Parkinson's disease? A pan-European focus group study of clinicians' prescribing practice.

Emma Begley, Jason Michael Thomas, William Hind, Carl Senior

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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Emma BegleySchool of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK.ORCID http://orcid.org/0000-0003-1550-8176
Jason Michael ThomasSchool of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK.
William HindAlpharmaxim, Altrincham, UK.
Carl SeniorSchool of Psychology, College of Health and Life Sciences, Aston University, Birmingham, UK c.senior@aston.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to establish a consensus on key factors that influence medication choices for Parkinson's disease and to identify the behavioural determinants of these factors using behavioural change theory as a theoretical lens.

designThis qualitative study used the nominal group technique to conduct structured online focus group meetings. A facilitator guided participants to (1) individually generate a list of factors that influence their decision to prescribe, (2) collectively share these factors, (3) refine and clarify factors and (4) rank the most important factors. Subsequently, the most important factors identified were mapped to the Theoretical Domains Framework (TDF) and the Capability, Opportunity, Motivation-Behaviour (COM-B) model to identify the behavioural determinants that influence medication choice.

participantsEighteen healthcare professionals, including neurologists, consultants and specialist nurses/practitioners who prescribe medication, were recruited across Europe and participated in one of seven focus groups.

resultsThere was good consensus among the participants about which factors influence their prescribing decisions. Overall, participants identified 60 unique factors that were broadly categorised into the following themes: medical or symptom concern, patient characteristics, side effects, access to treatment, clinical guidelines, social support and patient preference. Factors discussed and prioritised by the participants aligned with seven of the 14 TDF domains: knowledge; memory, attention and decision processes; beliefs about consequences; goals; social/professional role and identity; environment context and resources; and social influences. Together, these were subsequently mapped onto four of the six subdomains of the COM-B model: psychological capability, reflective motivation, physical opportunity and social opportunity.

conclusionsThese findings suggest that prescribing decisions for Parkinson's disease are determined by a complex range of factors linked to the COM-B components capability, motivation and opportunity. These can be further understood by specific behavioural domains, as identified by the TDF, which should be targeted to help optimise subsequent prescribing decisions.

Indexed as

Antiparkinson AgentsParkinson DiseasePractice Patterns, Physicians'AdultAttitude of Health PersonnelChoice BehaviorConsensusEuropeFemaleFocus GroupsHumansMaleMiddle AgedMotivationQualitative ResearchAntiparkinson AgentsParkinson-s diseasePrescriptionsQUALITATIVE RESEARCH

Identifiers

PMID39971601
PMCPMC11840894

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.