Evidence map›Paper›PMID 34444320›Full record

ArticleInternational journal of environmental research and public health2021

Development and Validation of a Trigger Tool for Identifying Drug-Related Emergency Department Visits.

Sung-Hee Hwang, Young-Mi Ah, Kwang-Hee Jun, Jae-Woo Jung, Min-Gyu Kang, Hye-Kyung Park, Eui-Kyung Lee, Hye-Kyung Park, Jee-Eun Chung, Sang-Heon Kim and 1 more

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Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 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

11 authors.

Sung-Hee HwangCollege of Pharmacy and Institute of Pharmaceutical Science and Technology, Hanyang University, Ansan 15588, Korea.ORCID 0000-0001-6065-2914
Young-Mi AhCollege of Pharmacy, Yeungnam University, Gyeongsan 38541, Korea.
Kwang-Hee JunInstitute of Pharmaceutical Sciences, College of Pharmacy and Research, Seoul National University, Seoul 08826, Korea.
Jae-Woo JungDepartment of Internal Medicine, Chung-Ang University College of Medicine, Seoul 06974, Korea.
Min-Gyu KangDepartment of Internal Medicine, Chungbuk National University Hospital, Cheongju 28644, Korea.ORCID 0000-0002-3239-4492
Hye-Kyung ParkDepartment of Internal Medicine, Pusan National University College of Medicine, Busan 50612, Korea.
Eui-Kyung LeeSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.
Hye-Kyung ParkSchool of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea.
Jee-Eun ChungCollege of Pharmacy and Institute of Pharmaceutical Science and Technology, Hanyang University, Ansan 15588, Korea.ORCID 0000-0001-5608-1530
Sang-Heon KimDepartment of Internal Medicine, Hanyang University College of Medicine, Seoul 04763, Korea.
Ju-Yeun LeeInstitute of Pharmaceutical Sciences, College of Pharmacy and Research, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-2261-7330

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are various trigger tools for detecting adverse drug events (ADEs), however, a drug-related emergency department (ED) visit trigger tool (DrEDTT) has not yet been developed. We aimed to develop and validate a DrEDTT with a multi-center cohort. In this cross-sectional study, we developed the DrEDTT consisting of 28 triggers through a comprehensive literature review and three phase expert group discussion. Next, we evaluated the performance of the DrEDTT by applying it to relevant medical records retrieved from four hospitals from January 2016 to June 2016. Two experts performed an in-depth chart review of a 25% of random sample of trigger flagged and unflagged ED visits and a true ADE was determined through causality assessment. Among 66,564 patients who visited the ED for reasons other than traffic accident and trauma during the study period, at least one trigger was found in 21,268 (32.0%) patients. A total of 959 true ADE cases (5.8%) were identified from a randomly selected 25% of ED visit cases. The overall positive predictive value was 14.0% (range: 8.3-66.7%). Sensitivity and specificity of DrEDTT were 77.7% and 70.4%, respectively. In conclusion, this newly developed trigger tool might be helpful to detect ADE-related ED visits.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPharmaceutical PreparationsCross-Sectional StudiesEmergency Service, HospitalHumansMedical RecordsPharmaceutical Preparationsadverse drug eventsemergency departmentmedication safetysafetytrigger tool

Identifiers

PMID34444320
PMCPMC8391800

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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.