Evidence map›Paper›PMID 41087738›Full record

SynthesisDrug safety2026

Systematic Review Examining the Effectiveness of Professional, Organisational and Structural Interventions in Primary Care to Reduce Medication-Related Hospitalisations and Deaths.

Hanan Khalil, Brian G Bell, Richard N Keers, Penny J Lewis, Megan Foreman, Amelia Taylor, Barbara Iyen, Aziz Sheikh, Darren M Ashcroft, Anthony J Avery

Abstract readSystematic Review
In one paragraph

Synthesis in Drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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

10 authors.

Hanan KhalilDepartment of Public Health, School of Psychology and Public Health, La Trobe University, Melbourne, Australia. h.khalil@latrobe.edu.au.ORCID http://orcid.org/0000-0002-3302-2009
Brian G BellCentre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK.
Richard N KeersNIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, UK.
Penny J LewisNIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, UK.
Megan ForemanCentre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK.
Amelia TaylorCentre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK.
Barbara IyenCentre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK.
Aziz SheikhNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Darren M AshcroftNIHR Greater Manchester Patient Safety Research Collaboration, University of Manchester, Manchester, UK.
Anthony J AveryCentre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication-related adverse events in primary care are a leading cause of hospital admissions and mortality, commonly resulting from medication errors. Previous reviews have assessed interventions broadly across healthcare settings, but few have focused specifically on interventions targeting medication errors in primary care.

objectiveTo evaluate the effectiveness of professional, organisational, and structural interventions in primary care settings in reducing medication-related hospital admissions, emergency department (ED) visits, and mortality.

methodsWe conducted a systematic review using the Cochrane methodology of systematic reviews and PRISMA guidelines for reporting. A comprehensive search of CENTRAL, MEDLINE, Embase, CINAHL, and trial registries up to October 2024 was undertaken. Randomised controlled trials conducted in primary care that assessed the impact of interventions on hospital admissions, ED visits, and mortality were included. Cochrane Risk of bias assessments and random-effects meta-analyses were performed.

resultsInterventions were classified according to the Cochrane Effective Practice and Organisation of Care criteria into Professional, Organisational and Structural. Sixty-two studies met the inclusion criteria. Professional interventions, including educational training and clinical decision tools, showed little to no effect on primary outcomes (risk ratio [RR] 1.01, 95% confidence interval [CI] 0.94-7.00 for hospital admissions; RR 1.00, 95% CI 0.98-1.02 for mortality; very-low to low certainty evidence). Organisational interventions, such as pharmacist-led medication reviews and multidisciplinary care models reduced the number of hospital admissions (RR 0.81, 95% CI 0.70-0.95; low-certainty evidence), but had uncertain effects on ED visits and mortality. Structural interventions, such as system-level support and quality monitoring, showed a reduction in hospital admissions (RR 0.90, 95% CI 0.83-0.97; moderate-certainty evidence), but evidence for other outcomes showed limited or very-low certainty.

conclusionOrganisational and structural interventions in primary care may reduce medication-related hospital admissions and may help inform clinical practice through implementation of multidisciplinary care models and system-level quality monitoring approaches. However, the overall certainty of evidence is low to very low, highlighting the need for high-quality trials to better inform clinical practice and policy.

Indexed as

Drug-Related Side Effects and Adverse ReactionsHospitalizationMedication ErrorsPrimary Health CareEmergency Service, HospitalHumansRandomized Controlled Trials as Topic

Identifiers

PMID41087738
PMCPMC13002777

What OpenQuestion holds

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LicenceCC BY-NC
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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.