Evidence map›Paper›PMID 28975903›Full record

ReviewPharmacy (Basel, Switzerland)2015

Medication Reconciliation at Discharge from Hospital: A Systematic Review of the Quantitative Literature.

Maja H Michaelsen, Paul McCague, Colin P Bradley, Laura J Sahm

Abstract readReview
In one paragraph

Review in Pharmacy (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 4 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

27 citing papers in PubMed, 4 syntheses or guidelines 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

4 authors.

Maja H MichaelsenPharmaceutical Care Research Group, School of Pharmacy, University College Cork, College Road, Cork, Ireland. m.hoetoft@gmail.com.
Paul McCaguePharmaceutical Care Research Group, School of Pharmacy, University College Cork, College Road, Cork, Ireland. pmccague01@qub.ac.uk.
Colin P BradleyDepartment of General Practice, Department of General Practice,1st Floor, Brookfield Health Sciences Building, University College Cork, Cork. C.Bradley@ucc.ie.ORCID 0000-0002-3595-9567
Laura J SahmPharmaceutical Care Research Group, School of Pharmacy, University College Cork, College Road, Cork, Ireland. l.sahm@ucc.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicines reconciliation is a way to identify and act on discrepancies in patients' medical histories and it is found to play a key role in patient safety. This review focuses on discrepancies and medical errors that occurred at point of discharge from hospital. Studies were identified through the following electronic databases: PubMed, Sciences Direct, EMBASE, Google Scholar, Cochrane Reviews and CINAHL. Each of the six databases was screened from inception to end of January 2014. To determine eligibility of the studies; the title, abstract and full manuscript were screened to find 15 articles that meet the inclusion criteria. The median number of discrepancies across the articles was found to be 60%. In average patient had between 1.2-5.3 discrepancies when leaving the hospital. More studies also found a relation between the numbers of drugs a patient was on and the number of discrepancies. The variation in the number of discrepancies found in the 15 studies could be due to the fact that some studies excluded patient taking more than 5 drugs at admission. Medication reconciliation would be a way to avoid the high number of discrepancies that was found in this literature review and thereby increase patient safety.

Indexed as

medication discrepanciesmedication errorsMedication reconciliationreview

Identifiers

PMID28975903
PMCPMC5597088

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.