TY - JOUR
T1 - Pharmacist and Data-driven Quality Improvement in Primary Care (P-DQIP)
T2 - A qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
AU - Tang, Jason
AU - Toma, Madalina
AU - Gray, Nicola M.
AU - Delvaux, Joke
AU - Guthrie, Bruce
AU - Grant, Aileen
AU - Duncan, Eilidh M.
AU - Dreischulte, Tobias
N1 - Funding Information:
This work was supported by the Scottish Improvement Science Collaborating Centre (SISCC) which is funded by the Scottish Funding Council (SFC), Chief Scientist’s Office, NHS Education for Scotland and The Health Foundation with in kind contributions from participating partner universities and health boards. grant number 242343290.
Publisher Copyright:
© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/2/28
Y1 - 2020/2/28
N2 - Objectives: The 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.Design: Semistructured 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.Setting: General practices from three Health and Social Care Partnerships in National Health Service (NHS) Tayside.Participants: 14 NHS employed practice pharmacists.Results: Identified 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.Conclusions: This 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.
AB - Objectives: The 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.Design: Semistructured 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.Setting: General practices from three Health and Social Care Partnerships in National Health Service (NHS) Tayside.Participants: 14 NHS employed practice pharmacists.Results: Identified 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.Conclusions: This 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.
KW - behavioural change techniques
KW - behavioural change wheel
KW - polypharmacy review
KW - prescribing safety
KW - quality improvement
KW - theoretical domains framework
UR - http://www.scopus.com/inward/record.url?scp=85080840352&partnerID=8YFLogxK
U2 - 10.1136/bmjopen-2019-033574
DO - 10.1136/bmjopen-2019-033574
M3 - Article
C2 - 32114469
SN - 2044-6055
VL - 10
JO - BMJ Open
JF - BMJ Open
IS - 2
M1 - e033574
ER -