Evidence map›Paper›PMID 31157034›Full record

SynthesisEuropean journal of hospital pharmacy : science and practice2018

Electronic medication reconciliation in hospitals: a systematic review and meta-analysis.

Hongmei Wang, Long Meng, Jie Song, Jiadan Yang, Juan Li, Feng Qiu

Abstract readSystematic Review
In one paragraph

Synthesis in European journal of hospital pharmacy : science and practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Reducing medication errors for adults in hospital settings.The Cochrane database of systematic reviews · 2021
    Pooled it
  3. Trial
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Easy Medication Reconciliation at Hospital Admission: The EzMedRec Decision Support System.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020
    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

6 authors.

Hongmei WangDepartment of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0003-1785-4662
Long MengDepartment of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie SongDepartment of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jiadan YangDepartment of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Juan LiDepartment of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Feng QiuDepartment of Pharmacy, TheFirst Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMedication reconciliation (MedRec) is recognised as a multiprofessional process for the prevention of medication discrepancies. The goal of this study is to evaluate the available electronic medication reconciliation (eMedRec) tools and their effect on unintended discrepancies that occur in hospital institutions.

methodPubMed, EMBASE, the Cochrane Library, Web of Science, the ClinicalTrials.gov website and four other Chinese databases were searched for relevant studies starting from their inception through October 2017. Methodological quality was assessed using the nine standard criteria of Cochrane Effective Practice and Organisation of Care Review Group (EPOC) and meta-analysis was performed using RevMan5.3 software.

resultsA total of 13 studies (three randomised controlled trials and 10 non-randomised controlled trials) were identified. Meta-analysis results demonstrated a reduced number of medications with unintended discrepancies (relative risk (RR)=1.85, 95% confidence interval (CI) 1.55 to 2.21), while no statistically significant differences were observed in the number of patients with unintended medication discrepancies (RR=2.74, 95% CI 0.59 to 12.73). Common discrepancies included medication omission, dose discrepancy, and frequency discrepancy. We found that the clinical impact of medication discrepancy was mild. A total of 12 electronic tools were reported and were mostly integrated into the hospital's information system. However, the usability, user adherence, and user satisfaction were found to lack sufficient evidence.

conclusioneMedRec was shown to reduce the incidence of medication with unintended discrepancies and improve medication safety. However, the electronic tools are diversified and the effects on other outcomes still require a comprehensive evaluation. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017067528.

Indexed as

electronic toolsmedication reconciliationmedication safetymeta-analysisunintended discrepancies

Identifiers

PMID31157034
PMCPMC6452330

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.