Evidence map›Paper›PMID 28495815›Full record

ArticleBMJ open2017

Understanding the implementation and adoption of an information technology intervention to support medicine optimisation in primary care: qualitative study using strong structuration theory.

Mark Jeffries, Denham Phipps, Rachel L Howard, Anthony Avery, Sarah Rodgers, Darren Ashcroft

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Systematic review and narrative synthesis of computerized audit and feedback systems in healthcare.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

6 authors.

Mark JeffriesCentre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0002-6882-0350
Denham PhippsCentre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, University of Manchester, Manchester, UK.ORCID 0000-0003-0857-2890
Rachel L HowardResearch Pharmacist, Ryde, Isle of Wight, UK.
Anthony AveryDivision of Primary Care, University of Nottingham, Nottingham, UK.
Sarah RodgersDivision of Primary Care, University of Nottingham, Nottingham, UK.
Darren AshcroftCentre for Pharmacoepidemiology and Drug Safety, School of Health Sciences, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUsing strong structuration theory, we aimed to understand the adoption and implementation of an electronic clinical audit and feedback tool to support medicine optimisation for patients in primary care.

designThis is a qualitative study informed by strong structuration theory. The analysis was thematic, using a template approach. An a priori set of thematic codes, based on strong structuration theory, was developed from the literature and applied to the transcripts. The coding template was then modified through successive readings of the data.

settingClinical commissioning group in the south of England.

participantsFour focus groups and five semi-structured interviews were conducted with 18 participants purposively sampled from a range of stakeholder groups (general practitioners, pharmacists, patients and commissioners).

resultsUsing the system could lead to improved medication safety, but use was determined by broad institutional contexts; by the perceptions, dispositions and skills of users; and by the structures embedded within the technology. These included perceptions of the system as new and requiring technical competence and skill; the adoption of the system for information gathering; and interactions and relationships that involved individual, shared or collective use. The dynamics between these external, internal and technological structures affected the adoption and implementation of the system.

conclusionsSuccessful implementation of information technology interventions for medicine optimisation will depend on a combination of the infrastructure within primary care, social structures embedded in the technology and the conventions, norms and dispositions of those utilising it. Future interventions, using electronic audit and feedback tools to improve medication safety, should consider the complexity of the social and organisational contexts and how internal and external structures can affect the use of the technology in order to support effective implementation.

Indexed as

Information TechnologyClinical AuditDrug PrescriptionsEnglandFeedbackFocus GroupsHumansInterviews as TopicMedical Records Systems, ComputerizedModels, TheoreticalPrimary Health CareQualitative ResearchState MedicineInformation technologyMedicines optimisationPrescibingPRIMARY CAREStrong Structuration Theory

Identifiers

PMID28495815
PMCPMC5736096

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LicenceCC BY
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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.