ArticleBMJ open2020
Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework.
Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed.
- Barriers and facilitators to antidepressant deprescribing - A qualitative interview study with general practitioners in Germany.The European journal of general practice · 2025Article
- Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future-A comprehensive review.Health care science · 2024Review
- Article
- Developing a Data-Driven Approach in Order to Improve the Safety and Quality of Patient Care.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
objectivesThe quality and safety of drug therapy in primary care are global concerns. The Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP) intervention aims to improve prescribing safety via an informatics tool, which facilitates proactive management of drug therapy risks (DTRs) by health-board employed pharmacists with established roles in general practices. Study objectives were (1) to identify and prioritise factors that could influence P-DQIP implementation from the perspective of practice pharmacists and (2) to identify potentially effective, acceptable and feasible strategies to support P-DQIP implementation.
designSemistructured face-to-face interviews using a Theoretical Domains Framework informed topic guide. The framework method was used for data analysis. Identified implementation factors were prioritised for intervention based on research team consensus. Candidate intervention functions, behavioural change techniques (BCTs) and policies targeting these were identified from the behavioural change wheel. The final intervention content and modes of delivery were agreed with local senior pharmacists.
settingGeneral practices from three Health and Social Care Partnerships in National Health Service (NHS) Tayside.
participants14 NHS employed practice pharmacists.
resultsIdentified implementation factors were linked to thirteen theoretical domains (all except intentions) and six (skill, memory/attention/decision making, behavioural regulation, reinforcement, environmental context/resources, social influences) were prioritised. Three intervention functions (training, enablement and environmental restructuring) were relevant and were served by two policy categories (guidelines, communication/marketing) and eight BCTs (instructions on how to perform a behaviour, problem solving, action planning, prompt/cues, goal setting, self-monitoring, feedback and restructuring the social environment). Intervention components encompass an informatics tool, written educational material, a workshop for pharmacists, promotional activities and small financial incentives.
conclusionsThis study explored pharmacists' perceptions of implementation factors which could influence management of DTRs in general practices to inform implementation of P-DQIP, which will initially be implemented in one Scottish health board with parallel evaluation of effectiveness and implementation.
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Registered trials
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