Evidence map›Paper›PMID 32114469›Full record

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.

Jason Tang, Madalina Toma, Nicola M Gray, Joke Delvaux, Bruce Guthrie, Aileen Grant, Eilidh M Duncan, Tobias Dreischulte

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Jason TangScottish Improvement Science Collaborating Centre (SISCC), School of Nursing and Health Sciences, University of Dundee, Dundee, Angus, UK.ORCID 0000-0002-2891-5507
Madalina TomaScottish Improvement Science Collaborating Centre (SISCC), School of Nursing and Health Sciences, University of Dundee, Dundee, Angus, UK.
Nicola M GrayScottish Improvement Science Collaborating Centre (SISCC), School of Nursing and Health Sciences, University of Dundee, Dundee, Angus, UK.
Joke DelvauxScottish Improvement Science Collaborating Centre (SISCC), School of Nursing and Health Sciences, University of Dundee, Dundee, Angus, UK.
Bruce GuthrieUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK.
Aileen GrantSchool of Nursing and Midwifery, Robert Gordon University, Aberdeen, UK.ORCID 0000-0001-6146-101X
Eilidh M DuncanHealth Services Research Unit, University of Aberdeen, Aberdeen, UK.
Tobias DreischulteScottish Improvement Science Collaborating Centre (SISCC), School of Nursing and Health Sciences, University of Dundee, Dundee, Angus, UK tobias.dreischulte@med.uni-muenchen.de.

Funding

Chief Scientist Office HSRU1
6 · The paper itself

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.

Indexed as

Medical InformaticsPharmacistsQuality ImprovementHumansPrimary Health CareQualitative ResearchState Medicinebehavioural change techniquesbehavioural change wheelpolypharmacy reviewprescribing safetyquality improvementtheoretical domains framework

Identifiers

PMID32114469
PMCPMC7050331

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LicenceCC BY-NC
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Registered trials

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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.