Evidence map›Paper›PMID 28009444›Full record

ArticleBritish journal of clinical pharmacology2017

Medicine information exchange networks among healthcare professionals and prescribing in geriatric medicine wards.

Bosco Chan, Emily Reeve, Slade Matthews, Peter R Carroll, Janet C Long, Fabian Held, Mark Latt, Vasi Naganathan, Gideon A Caplan, Sarah N Hilmer

Abstract read
In one paragraph

Article in British journal of clinical pharmacology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Bosco ChanKolling Institute of Medical Research, Royal North Shore Hospital and University of Sydney, Sydney, Australia.
Emily ReeveKolling Institute of Medical Research, Royal North Shore Hospital and University of Sydney, Sydney, Australia.ORCID 0000-0002-1405-999X
Slade MatthewsSydney Medical School, University of Sydney, Sydney, Australia.
Peter R CarrollKolling Institute of Medical Research, Royal North Shore Hospital and University of Sydney, Sydney, Australia.
Janet C LongCognitive Decline Centre, University of Sydney, Sydney, Australia.
Fabian HeldFaculty of Science, School of Mathematics and Statistics, Charles Perkins Centre, The University of Sydney, Sydney, Australia.
Mark LattSydney Medical School, University of Sydney, Sydney, Australia.
Vasi NaganathanSydney Medical School, University of Sydney, Sydney, Australia.
Gideon A CaplanDepartment of Geriatric Medicine, Prince of Wales Hospital, Sydney, Australia.
Sarah N HilmerKolling Institute of Medical Research, Royal North Shore Hospital and University of Sydney, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsEffective transfer of information is vital for rational drug therapy. This is particularly important for older patients, who have a high prevalence of polypharmacy and are managed by multidisciplinary teams. We aimed to assess medicine information exchange (MIE) networks in geriatric medicine wards and whether they are associated with prescribing patterns.

methodsWe conducted network analysis in acute geriatric medicine wards from four hospitals to characterize MIE networks among multidisciplinary team members. Corresponding patient data were collected to analyze high-risk prescribing in conjunction with network characteristics.

resultsWe found that junior doctors, senior nurses and pharmacists were central to MIE across all four hospitals. Doctors were more likely than other professions to receive medicines information in three hospitals. Reciprocity and the tendency to communicate within one's own profession also influenced network formation. No difference was observed in prescribing practice between hospitals.

conclusionsUnderstanding MIE networks can identify gaps in multidisciplinary communication that can be addressed. Networks may identify targets for dissemination of interventions to improve prescribing.

Indexed as

Drug PrescriptionsHealth PersonnelHospital DepartmentsInformation DisseminationMedication Therapy ManagementAgedDrug Utilization ReviewGeriatricsHumansInterprofessional RelationsNursesPatient Care TeamPharmacistsPhysiciansPolypharmacyage 80 and overdrug prescriptionsinappropriate prescribingnetwork analysispolypharmacy

Identifiers

PMID28009444
PMCPMC5427233

What OpenQuestion holds

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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.