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Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework

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 (D...

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Autores principales: Tang, Jason, Toma, Madalina, Gray, Nicola M, Delvaux, Joke, Guthrie, Bruce, Grant, Aileen, Duncan, Eilidh M, Dreischulte, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050331/
https://www.ncbi.nlm.nih.gov/pubmed/32114469
http://dx.doi.org/10.1136/bmjopen-2019-033574
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author Tang, Jason
Toma, Madalina
Gray, Nicola M
Delvaux, Joke
Guthrie, Bruce
Grant, Aileen
Duncan, Eilidh M
Dreischulte, Tobias
author_facet Tang, Jason
Toma, Madalina
Gray, Nicola M
Delvaux, Joke
Guthrie, Bruce
Grant, Aileen
Duncan, Eilidh M
Dreischulte, Tobias
author_sort Tang, Jason
collection PubMed
description 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.
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spelling pubmed-70503312020-03-16 Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework Tang, Jason Toma, Madalina Gray, Nicola M Delvaux, Joke Guthrie, Bruce Grant, Aileen Duncan, Eilidh M Dreischulte, Tobias BMJ Open Health Services Research 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. BMJ Publishing Group 2020-02-28 /pmc/articles/PMC7050331/ /pubmed/32114469 http://dx.doi.org/10.1136/bmjopen-2019-033574 Text en © 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. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Health Services Research
Tang, Jason
Toma, Madalina
Gray, Nicola M
Delvaux, Joke
Guthrie, Bruce
Grant, Aileen
Duncan, Eilidh M
Dreischulte, Tobias
Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
title Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
title_full Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
title_fullStr Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
title_full_unstemmed Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
title_short Pharmacist and Data-Driven Quality Improvement in Primary Care (P-DQIP): a qualitative study of anticipated implementation factors informed by the Theoretical Domains Framework
title_sort pharmacist and data-driven quality improvement in primary care (p-dqip): a qualitative study of anticipated implementation factors informed by the theoretical domains framework
topic Health Services Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7050331/
https://www.ncbi.nlm.nih.gov/pubmed/32114469
http://dx.doi.org/10.1136/bmjopen-2019-033574
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