Evidence map›Paper›PMID 29380460›Full record

ArticleThe International journal of pharmacy practice2018

Unlicensed medicines use: a UK guideline analysis using AGREE II.

Gemma Donovan, Lindsay Parkin, Lyn Brierley-Jones, Scott Wilkes

Abstract read
In one paragraph

Article in The International journal of pharmacy practice, 2018. 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.

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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

4 authors.

Gemma DonovanSchool of Pharmacy, Pharmaceutical and Cosmetic Sciences, Faculty of Health and Wellbeing, University of Sunderland, Sunderland, UK.ORCID http://orcid.org/0000-0003-0588-2666
Lindsay ParkinSchool of Pharmacy, Pharmaceutical and Cosmetic Sciences, Faculty of Health and Wellbeing, University of Sunderland, Sunderland, UK.
Lyn Brierley-JonesDepartment of Sociology, Wentworth College, University of York, York, UK.
Scott WilkesSchool of Pharmacy, Pharmaceutical and Cosmetic Sciences, Faculty of Health and Wellbeing, University of Sunderland, Sunderland, UK.

Funding

Pharmacy Research UK CPRG1
6 · The paper itself

Abstract

objectivesThere is widespread use of unlicensed medicines within primary and secondary care but little information is available around how these medicines are used. This analysis examines and evaluates the content and quality of relevant guidance documentation currently in use within the UK.

methodsGuidance documents were identified through a literature search as well as email requests to pharmacy organisations throughout the UK. Unlicensed medicine documentation suitable for inclusion in the analysis underwent thematic analysis and quality assessment using the AGREE II tool. KEY

findingsThematic analysis of 52 guidelines revealed four parent themes: (1) Professional responsibility (2) Usage practicalities (3) Risk versus benefit (4) Controlling use. There was variability in scores across the AGREE II domains with areas covering Scope and Purpose and Clarity of Presentation scoring well. Conversely, an area needing attention was Rigour of Development.

conclusionHealthcare organisations would benefit from agreeing a 'core content' for the development of unlicensed medicines guidelines to ensure consistency and the presence of robust operating systems to deliver safe, effective treatment to all NHS patients.

Indexed as

Practice Guidelines as TopicDrug ApprovalHumansPharmaceutical PreparationsPractice Patterns, Physicians'United KingdomPharmaceutical Preparationsevidence based practiceguidelinesinterface issuesinterprofessional issuespatient safety

Identifiers

PMID29380460
PMCPMC6282507

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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.