Evidence map›Paper›PMID 38053566›Full record

ReviewAustralian prescriber2023

Medicines stewardship.

Elizabeth Su, David Fl Liew, Jane Donnelly, Rohan A Elliott

Abstract readReview
In one paragraph

Review in Australian prescriber, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

9 citing papers in PubMed.

  1. Global under- and overprescribing of drugs-a scoping review.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  2. Article
  3. Review
  4. Article
  5. A quality improvement initiative to reduce excess inhaled therapy use in the neonatal intensive care unit.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
  6. Review
  7. Article
  8. Review
  9. 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

4 authors.

Elizabeth SuAustin Health, Melbourne.ORCID https://orcid.org/0000-0002-9893-5546
David Fl LiewAustin Health, Melbourne.ORCID https://orcid.org/0000-0001-8451-8883
Jane DonnellyAustin Health, Melbourne.
Rohan A ElliottAustin Health, Melbourne.ORCID https://orcid.org/0000-0002-7750-9724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicines stewardship refers to coordinated strategies and interventions to optimise medicines use, usually within a specific therapeutic area. Medicines stewardship programs can reduce variations in practice and improve patient outcomes. Therapeutic domains for medicines stewardship are chosen to address frequently used drug classes associated with a high risk of adverse outcomes. Some examples include antimicrobial, opioid analgesic, anticoagulation and psychotropic stewardship. Common elements of successful stewardship programs include multidisciplinary leadership, stakeholder engagement, tailored communication strategies, behavioural changes, implementation science methodologies, and ongoing program monitoring, evaluation and reporting. Medicines stewardship is a continual quality improvement process that requires ongoing support and resources, as well as clinician and consumer engagement, to remain sustainable. It is critical for hospital-based medicines stewardship programs to consider impacts on care in the community when making and communicating changes to patient therapy. This ensures that stewardship efforts are sustained across transitions of care.

Indexed as

anticoagulation stewardshipantimicrobial stewardshipmedicines stewardshipopioid analgesic stewardshippsychotropic stewardshipquality use of medicines

Identifiers

PMID38053566
PMCPMC10664097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.