Evidence map›Paper›PMID 37864770›Full record

SynthesisDrugs & aging2024

Prevalence of and Risk Factors for Drug-Related Readmissions in Older Adults: A Systematic Review and Meta-Analysis.

Narisha Prasad, Edward C Y Lau, Ilsa Wojt, Jonathan Penm, Zhaoli Dai, Edwin C K Tan

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Drugs & aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
5.0field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Narisha PrasadFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.
Edward C Y LauFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.
Ilsa WojtFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.
Jonathan PenmFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.
Zhaoli DaiFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia.
Edwin C K TanFaculty of Medicine and Health, School of Pharmacy, The University of Sydney, Sydney, NSW, Australia. edwin.tan@sydney.edu.au.ORCID 0000-0003-2922-8837
The University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults are at an increased risk of drug-related problems, especially following discharge from hospital. Drug-related readmissions place a large burden on the patient and the healthcare system. However, previous studies report inconsistent results on the prevalence and associated risk factors for drug-related hospital readmissions in older adults.

objectivesWe aimed to assess the prevalence of drug-related readmissions in older adults aged 65 years and older and investigate the drug classes, preventability and risk factors most associated with these readmissions.

methodsA systematic review and meta-analysis were undertaken to answer our objectives. A search of four databases (MEDLINE, Embase, CINAHL and Scopus) was conducted. Three authors independently performed title and abstract screening, full-text screening and data extraction of all included studies. A meta-analysis was conducted to calculate the pooled prevalence of drug-related readmissions across all studies, and a subgroup analysis was performed to explore heterogeneity among studies reporting on adverse drug reaction-related readmissions.

resultsA total of 1978 studies were identified in the initial search, of which four studies were included in the final synthesis. Three studies focused on readmissions due to adverse drug reactions and one study focused on readmissions due to drug-related problems. A pooled prevalence of 9% (95% confidence interval 2-18) was found for drug-related readmissions across all studies, and a pooled prevalence of 6% (95% confidence interval 4-10) was found for adverse drug reaction-related readmissions. Three studies explored the preventability of readmissions and 15.4-22.2% of cases were deemed preventable. The drug classes most associated with adverse drug reaction readmissions included anticoagulants, antibiotics, psychotropics and chemotherapy agents. Polypharmacy (the use of five or more medications) and several comorbidities such as cancer, liver disease, ischaemic heart disease and peptic ulcer disease were identified as risk factors for drug-related readmissions.

conclusionsAlmost one in ten older adults discharged from hospital experienced a drug-related hospital readmission, with one fifth of these deemed preventable. Several comorbidities and the use of polypharmacy and high-risk drugs were identified as prominent risk factors for readmission. Further research is needed to explore possible causes of drug-related readmissions in older adults for a more guided approach to the development of effective medication management interventions.

Indexed as

Drug-Related Side Effects and Adverse ReactionsPatient ReadmissionAgedHumansPatient DischargePrevalenceRisk Factors

Identifiers

PMID37864770
PMCPMC10770220
OpenAlexW4387844846

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.