Evidence map›Paper›PMID 27198753›Full record

SynthesisBritish journal of clinical pharmacology2016

The medication reconciliation process and classification of discrepancies: a systematic review.

Enas Almanasreh, Rebekah Moles, Timothy F Chen

Abstract readSystematic Review
In one paragraph

Synthesis in British journal of clinical pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 6 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

59 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Electronic medication reconciliation in hospitals: a systematic review and meta-analysis.European journal of hospital pharmacy : science and practice · 2018
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  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

3 authors.

Enas AlmanasrehFaculty of Pharmacy, Pharmacy and Bank Building A15, The University of Sydney, NSW, 2006, Australia.ORCID 0000-0001-5501-9567
Rebekah MolesFaculty of Pharmacy, Pharmacy and Bank Building A15, The University of Sydney, NSW, 2006, Australia.
Timothy F ChenFaculty of Pharmacy, Pharmacy and Bank Building A15, The University of Sydney, NSW, 2006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsMedication reconciliation is a part of the medication management process and facilitates improved patient safety during care transitions. The aims of the study were to evaluate how medication reconciliation has been conducted and how medication discrepancies have been classified.

methodsWe searched MEDLINE, EMBASE, CINAHL, PubMed, International Pharmaceutical Abstracts (IPA), and Web of Science (WOS), in accordance with the PRISMA statement up to April 2016. Studies were eligible for inclusion if they evaluated the types of medication discrepancy found through the medication reconciliation process and contained a classification system for discrepancies. Data were extracted by one author based on a predefined table, and 10% of included studies were verified by two authors.

resultsNinety-five studies met the inclusion criteria. Approximately one-third of included studies (n = 35, 36.8%) utilized a 'gold' standard medication list. The majority of studies (n = 57, 60%) used an empirical classification system and the number of classification terms ranged from 2 to 50 terms. Whilst we identified three taxonomies, only eight studies utilized these tools to categorize discrepancies, and 11.6% of included studies used different patient safety related terms rather than discrepancy to describe the disagreement between the medication lists.

conclusionsWe suggest that clear and consistent information on prevalence, types, causes and contributory factors of medication discrepancy are required to develop suitable strategies to reduce the risk of adverse consequences on patient safety. Therefore, to obtain that information, we need a well-designed taxonomy to be able to accurately measure, report and classify medication discrepancies in clinical practice.

Indexed as

HumansMedication ErrorsMedication ReconciliationPatient Safetyclassificationmedication discrepancymedication errormedication reconciliationtransition of care

Identifiers

PMID27198753
PMCPMC5338112

What OpenQuestion holds

Textmetadata
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.