Evidence map›Paper›PMID 39849488›Full record

SynthesisBMC health services research2025

A systematic review of outcomes reported in studies to optimise the medication use of patients at hospital discharge.

Joke Wuyts, Veerle Foulon, Samuel Sebastian Allemann, Fabienne Boeni

Abstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Joke WuytsDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Veerle FoulonDepartment of Pharmaceutical and Pharmacological Sciences, KU Leuven, Leuven, Belgium.
Samuel Sebastian AllemannDepartment Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
Fabienne BoeniDepartment Pharmaceutical Sciences, University of Basel, Basel, Switzerland. fabienne.boeni@unibas.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCare transitions, specifically hospital discharge, hold a risk for drug-related problems and medication errors. Effective interventions that optimise medication use during and after transitions are needed, yet there is no standardisation of the outcomes. This literature review aimed at collecting outcomes from studies investigating how to optimise medication use of patients following hospital discharge, and to categorise them, as a first step in the development of a core outcome set.

methodsWe systematically reviewed quantitative and qualitative literature using Embase, PubMed, CINAHL and the EU Clinical Trial Register databases. Studies investigating the optimisation of medication use following hospital discharge were eligible. The quantitative literature review specifically included trials and protocols that evaluated the effect of an intervention for patients ≥ 65 years or multimorbid / polypharmacy patients, as they are at high risk of drug-related problems. The qualitative literature review focused on the patients' and healthcare professionals' views. Outcomes were summarised into unique outcome terms and categorised using an adapted version of the OMERACT filter 2.0.

resultsThe review included 75 quantitative and 20 qualitative studies. The interventions investigated in the quantitative literature mostly had multiple components performed either pre- or post-discharge. Sixty percent of the qualitative studies addressed the views of healthcare professionals, 40% the views of patients, and only one study addressed both. A median of 5 outcomes (range 1-17) were reported in the quantitative studies. In total, 91 unique outcomes were identified from the quantitative or qualitative literature, or both (73, 12 and 6 outcomes, respectively). Outcomes were categorised into five domains: 'medication' (n = 32 outcomes), 'economic impact/resource use' (n = 26), 'life impact' (n = 16), 'pathophysiological manifestations' (n = 15) and 'death' (n = 2). The top 5 most frequently measured outcomes in quantitative studies were number of readmissions (n = 54/75, 72%), mortality (n = 30/75, 40%), number of emergency department visits (n = 26/75, 35%), number of outpatient physician visits (n = 12/75, 16%), and medication adherence (n = 12/75, 16%). DISCUSSION AND

conclusionThis study identified a large number of different outcomes, especially in the domains medication and economic impact/resource use. This heterogeneity impedes the identification of effective interventions and confirms the need for a core outcome set.

Indexed as

Outcome Assessment, Health CarePatient DischargeHumansMedication ErrorsPolypharmacyContinuity of patient careCore outcome setDrug therapyMedication therapy managementSystematic reviewTransitional care

Identifiers

PMID39849488
PMCPMC11758755

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Registered trials

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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.