Evidence map›Paper›PMID 40716041›Full record

SynthesisAge and ageing2025

Evaluating the role of clinical decision support systems in medication safety for older people: a systematic review.

Yaoyi Ng, Jovan Teng Yuan Hsu, Noelle Na En Ng, Joel Zuo Er Ong, Jolene Li Jun Hsu, Farisah Sulaimi, Hiang Khoon Tan, Ansel Shao Pin Tang, Qin Xiang Ng

Abstract readSystematic Review
In one paragraph

Synthesis in Age and ageing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Technology-Driven Decision Support for Opioid Tapering: A Scoping Review.Basic & clinical pharmacology & toxicology · 2026
    Article
  4. 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

9 authors.

Yaoyi NgNUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0009-0004-0462-597X
Jovan Teng Yuan HsuNUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0009-0007-9372-0005
Noelle Na En NgNUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Joel Zuo Er OngNUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jolene Li Jun HsuSchool of Medicine, Trinity College Dublin, Dublin, Leinster, Ireland.
Farisah SulaimiFaculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
Hiang Khoon TanSingHealth Duke-NUS Global Health Institute, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0002-8565-2926
Ansel Shao Pin TangNUS Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-8416-6857
Qin Xiang NgSingHealth Duke-NUS Global Health Institute, Duke-NUS Medical School, Singapore, Singapore.ORCID 0000-0001-8561-2513

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder people are particularly vulnerable to medication errors and adverse drug events (ADEs) due to polypharmacy and age-related physiological changes. Clinical decision support systems (CDSS) presents itself as a potential solution for clinicians, but their effectiveness in care for older people remains uncertain.

objectivesTo evaluate the impact of CDSS on reducing potentially inappropriate medications (PIMs) and improving medication safety amongst older people. DESIGN AND

settingThis was a systematic review of randomized controlled trials (RCTs) evaluating CDSS interventions in older populations (aged 65 or older).

methodsA comprehensive search was conducted in OVID Medline, Embase, and Cochrane Library from inception to April 2025. Eligible studies were RCTs assessing CDSS in reducing PIM use and ADEs amongst older people. Data on medication safety outcomes (PIM, deprescription and ADEs) were extracted. The findings were narratively synthesized, and the certainty of evidence was evaluated using the GRADE framework. The Cochrane Risk-of-Bias 2 tool was also applied.

resultsA total of 16 RCTs (comprising 135,108 participants) were included. CDSS significantly reduced PIM initiation by up to 18% (moderate certainty) and improved deprescription rates, with intervention groups achieving 55.4% PIM discontinuation. However, CDSS had inconsistent effects on ADEs (low certainty).

conclusionsCDSS improved prescribing practices by reducing inappropriate medication use in older people. However, its impact on ADEs was less evident. Implementation challenges such as clinician adherence, alert fatigue and system usability must be addressed to optimize CDSS effectiveness in care for older people. Further research is needed for long-term evaluation and refinement of CDSS.

Indexed as

Decision Support Systems, ClinicalDrug-Related Side Effects and Adverse ReactionsInappropriate PrescribingMedication ErrorsAgedAged, 80 and overAge FactorsHumansPolypharmacyPotentially Inappropriate Medication ListRandomized Controlled Trials as Topicclinical decision support systemsmedication safetyolder peoplepolypharmacysystematic review

Identifiers

PMID40716041
PMCPMC12296344

What OpenQuestion 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 OpenQuestion graph.