Evidence map›Paper›PMID 42536290›Full record

ArticleInternational journal of clinical pharmacy2026

Prioritising medication management criteria to identify emergency department patients with potential medication-related harm: Nominal Group Technique workshops with clinicians.

Amber Franich, Kate Hill, Gary Grant, H Laetitia Hattingh

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Article in International journal of clinical pharmacy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Amber FranichSchool of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, 4222, Australia.
Kate HillPharmacy, Gold Coast Hospital and Health Service, Southport, QLD, 4215, Australia.
Gary GrantSchool of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, 4222, Australia.
H Laetitia HattinghSchool of Pharmacy and Medical Sciences, Griffith University, Southport, QLD, 4222, Australia. laetitia.hattingh@health.qld.gov.au.ORCID https://orcid.org/0000-0002-4553-743X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPharmacist involvement in the emergency department (ED) and early in a patient's hospital stay improves clinical outcomes and reduces medication errors. Because EDs are high-pressure settings with limited pharmacist staffing, pharmacists cannot review every patient. Instead, they must focus on identifying and prioritising patients who may be at risk of potential medication-related harm.

aimTo establish and prioritise consensus-based medication management criteria to identify patients with potential medication-related harm within the ED setting for early pharmacist review.

methodWe used Nominal Group Technique (NGT) methodology to rank the most important criteria for identifying whether a patient's presentation may be due to medication-related harm or whether they may be at risk of developing medication-related harm in the ED. Participants were purposively recruited ED clinicians including pharmacists, doctors and nurses who worked at the ED of either the Gold Coast University Hospital or Robina Hospital on the Gold Coast, Queensland, Australia, during May-June 2025.

resultsA total of 14 participants comprising six pharmacists, five nurses and three doctors participated in two 1-h NGT workshops. Participants ranked 12 criteria from a list of 34 during NGT Round 1. They subsequently ranked six criteria from the list of 12 during NGT Round 2. The weighted rankings of the criteria across both groups were combined to determine the top six criteria which were, in order from 1 to 6 (1 = most relevant): (1) medication-related admission or thinks medicine responsible for admission; (2) bleeding and falls; (3) poor historian (unable to provide reliable history)/suspected non-adherence or poor compliance; (4) carbidopa/levodopa (entacapone), co-beneldopa; (5) unverified medicines; and (6) medicines requiring therapeutic drug monitoring/medicines with narrow therapeutic index. The first four criteria were ranked within the top six in both NGT workshops.

conclusionThis study has provided a concise list of six medication-related criteria that expert consensus agreed were the most important for prioritising patients with potential medication-related harm. This forms the basis for the development of information gathering strategies to be incorporated into clinicians' workflows early in patients' ED journey.

Indexed as

Drug-Related Side Effects and Adverse ReactionsEmergency Service, HospitalMedication ErrorsMedication Therapy ManagementPharmacistsPharmacy Service, HospitalConsensusHumansPhysiciansProfessional RoleQueenslandConsensus-based criteriaEmergency departmentMedication-related harmMedication reviewPharmacist

Identifiers

PMID42536290
PMCPMC13569595

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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.