Evidence map›Paper›PMID 36806970›Full record

ArticleEuropean journal of clinical pharmacology2023

Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative.

Ar Kar Aung, Celia M Zubrinich, Michelle S Y Goh, Benjamin Snyder, Mei Jie Tang, Cindy Y L Khu, Jennifer I Lee, Linda V Graudins

Open access · hybridFull text read
In one paragraph

Article in European journal of clinical pharmacology, 2023. 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
0.9field-weighted citation impact, top 32% of its field
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, 4 citations in OpenAlex.

  1. Article
  2. Review
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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 at 3 institutions in 2 countries.

Ar Kar AungDepartment of General Medicine, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia. A.Aung@alfred.org.au.ORCID http://orcid.org/0000-0003-3317-945X
Celia M ZubrinichSchool of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID http://orcid.org/0000-0002-3517-2035
Michelle S Y GohDepartment of Dermatology, Alfred Health, Melbourne, Australia.ORCID http://orcid.org/0000-0001-8063-8482
Benjamin SnyderDepartment of General Medicine, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia.
Mei Jie TangDepartment of Infectious Diseases, Alfred Health, Melbourne, Australia.
Cindy Y L KhuDepartment of General Medicine, Alfred Health, 55 Commercial Road, Melbourne, VIC, 3004, Australia.
Jennifer I LeeDepartment of Medicine, New York-Presbyterian Hospital, New York, USA.ORCID http://orcid.org/0000-0001-7439-0425
Linda V GraudinsDepartment of Pharmacy, Alfred Health, Melbourne, Australia.ORCID http://orcid.org/0000-0002-6639-7210
Alfred Health · AUMonash Alfred Psychiatry Research centre · AUNewYork–Presbyterian Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop a reliable assessment tool to monitor the quality of adverse drug reaction (ADR) reports and evaluate its performance within a quaternary hospital setting.

methodsAdverse drug reactions report QUality Algorithm (AQUA-12) was developed by a multidisciplinary team with the expertise in the management of ADRs. The design was based on data elements required to establish medication causality. Inter-rater reliability of AQUA-12 was evaluated over three rounds in two phases: development and prospective evaluation phases, by independent assessors both internal and external to the institutional ADR review processes. The characteristics and quality of ADR reports were subsequently assessed, and potential factors contributing to low-quality reports were identified.

resultsA total of 70 ADR reports were assessed, 20 in development and 50 in evaluation phases. The inter-rater reliability of AQUA-12 was found to be excellent in all three rounds (Cronbach's alpha of  ≥ 0.9, p < 0.001 for all). Approximately one in five reports concerned immediate hypersensitivity reactions while delayed hypersensitivity reactions constituted 60% of all reactions. AQUA-12 identified 18 (25.7%) reports as 'low-quality' with a score of  < 10. Identification of suspected medications (37.1%), description of index ADR (27.1%), and key events (ADR narrative, 35.7%) were the top data elements incomplete or missing from all reports. Univariable analyses identified the severity of the reaction as a factor associated with low quality of reports (p = 0.008).

conclusionsAQUA-12 is a practical and highly reliable assessment tool that can be utilised in hospital settings to regularly monitor the completeness of ADR reports to guide quality improvement initiatives.

Indexed as

Drug-Related Side Effects and Adverse ReactionsQuality ImprovementAdverse Drug Reaction Reporting SystemsAlgorithmsHumansReproducibility of ResultsAdverse drug reactionsMedication safetyQuality algorithmQuality assessmentQuality improvement

Identifiers

PMID36806970
PMCPMC10038939
OpenAlexW4321478332

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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.