Evidence map›Paper›PMID 37076609›Full record

ArticleDrug safety2023

Prevalence and Preventability of Adverse Medicine Events in a Sample of Australian Aged-Care Residents: A Secondary Analysis of Data from the ReMInDAR Trial.

Lisa M Kalisch Ellett, Gerel Dorj, Andre Q Andrade, Rebecca L Bilton, Debra Rowett, Joseph Whitehouse, Renly Lim, Nicole L Pratt, Thu-Lan Kelly, Nibu Parameswaran Nair and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Drug safety, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Interventions for preventing falls in older people in care facilities.The Cochrane database of systematic reviews · 2025
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
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

13 authors at 2 institutions in 1 country.

Lisa M Kalisch EllettQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia. lisa.kalisch@unisa.edu.au.ORCID http://orcid.org/0000-0001-5063-6128
Gerel DorjQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0001-9489-6829
Andre Q AndradeQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0001-6587-3169
Rebecca L BiltonQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0003-1932-8957
Debra RowettQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0002-8977-0401
Joseph WhitehouseHealthy Care Services, Adelaide, Australia.
Renly LimQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0003-4135-2523
Nicole L PrattQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.
Thu-Lan KellyQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0002-7691-9289
Nibu Parameswaran NairSchool of Pharmacy and Pharmacology, College of Health and Medicine, University of Tasmania, Hobart, Australia.ORCID http://orcid.org/0000-0002-0202-6453
Luke BereznickiSchool of Pharmacy and Pharmacology, College of Health and Medicine, University of Tasmania, Hobart, Australia.ORCID http://orcid.org/0000-0003-3974-3437
Imaina WidagdoQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0002-0669-0183
Elizabeth E RougheadQuality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, GPO Box 2471, Adelaide, SA, 5001, Australia.ORCID http://orcid.org/0000-0002-6811-8991
University of South Australia · AUUniversity of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAged care residents are vulnerable to the harmful effects of medicines; however, data on the prevalence and preventability of adverse medicine events in aged care residents are scarce.

aimTo determine the prevalence and preventability of adverse medicine events in Australian aged care residents.

methodsA secondary analysis of data from the Reducing Medicine-Induced Deterioration and Adverse Reactions (ReMInDAR) trial was conducted. Potential adverse medicine events were identified and independently screened by two research pharmacists to produce a short-list of potential adverse medicine events. An expert clinical panel reviewed each potential adverse medicine to determine the likelihood that the event was medicine related (based on the Naranjo Probability Scale criteria). The clinical panel assessed preventability of medicine-related events using Schumock-Thornton criteria.

resultsThere were 583 adverse events due to medicines, involving 154 residents (62% of the 248 study participants). There was a median of three medication-related adverse events (interquartile range [IQR] 1-5) per resident over the 12-month follow-up period. The most common medication-related adverse events were falls (56%), bleeding (18%) and bruising (9%). There were 482 (83%) medication-related adverse events that were preventable, most commonly falls (66% of preventable adverse medicine events), bleeding (12%) and dizziness (8%). Of the 248 residents, 133 (54% of the cohort) had at least one preventable adverse medicine event, with a median of 2 (IQR 1-4) preventable adverse medicine events per resident.

conclusionIn total, 62% of aged care residents in our study had an adverse medicine event and 54% had a preventable adverse medicine event in a 12-month period.

Indexed as

Drug-Related Side Effects and Adverse ReactionsAgedAustralasian PeopleAustraliaHemorrhageHumansPrevalence

Identifiers

PMID37076609
PMCPMC10163999
OpenAlexW4366446707

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.