Evidence map›Paper›PMID 29248878›Full record

SynthesisBMJ quality & safety2018

Systematic review and meta-analysis of the effectiveness of pharmacist-led medication reconciliation in the community after hospital discharge.

Duncan McNab, Paul Bowie, Alastair Ross, Gordon MacWalter, Martin Ryan, Jill Morrison

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ quality & safety, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Effect of medication reconciliation interventions on outcomes: A systematic overview of systematic reviews.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2019
    Pooled it
  4. Pooled it
  5. Trial
  6. Trial
  7. Trial
  8. Engaging hospital patients in the medication reconciliation process using tablet computers.Journal of the American Medical Informatics Association : JAMIA · 2018
    Trial
  9. Trial
  10. Article
  11. Observational
  12. Article
  13. Article
  14. AI-Based Automation for Medication Reconciliation: Scoping Review.Journal of medical Internet research · 2026
    Article
  15. Article
  16. Article
  17. Article
  18. Safety issues in post-discharge care of older patients in general practice: an ethnographic study.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025
    Article
  19. Article
  20. Observational
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.

Duncan McNabMedical Directorate, NHS Education for Scotland, Glasgow, UK.
Paul BowieMedical Directorate, NHS Education for Scotland, Glasgow, UK.
Alastair RossDental School, University of Glasgow, Glasgow, UK.
Gordon MacWalterMedical Directorate, NHS Education for Scotland, Glasgow, UK.
Martin RyanMedical Directorate, NHS Education for Scotland, Glasgow, UK.
Jill MorrisonInstitute of Health and Wellbeing, University of Glasgow College of Medical Veterinary and Life Sciences, Glasgow, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmacists' completion of medication reconciliation in the community after hospital discharge is intended to reduce harm due to prescribed or omitted medication and increase healthcare efficiency, but the effectiveness of this approach is not clear. We systematically review the literature to evaluate intervention effectiveness in terms of discrepancy identification and resolution, clinical relevance of resolved discrepancies and healthcare utilisation, including readmission rates, emergency department attendance and primary care workload.

methodsThis is a systematic literature review and meta-analysis of extracted data. Medline, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, Allied and Complementary Medicine Database (AMED),Education Resources Information Center (ERIC), Scopus, NHS Evidence and the Cochrane databases were searched using a combination of medical subject heading terms and free-text search terms. Controlled studies evaluating pharmacist-led medication reconciliation in the community after hospital discharge were included. Study quality was appraised using the Critical Appraisal Skills Programme. Evidence was assessed through meta-analysis of readmission rates. Discrepancy identification rates, emergency department attendance and primary care workload were assessed narratively.

resultsFourteen studies were included, comprising five randomised controlled trials, six cohort studies and three pre-post intervention studies. Twelve studies had a moderate or high risk of bias. Increased identification and resolution of discrepancies was demonstrated in the four studies where this was evaluated. Reduction in clinically relevant discrepancies was reported in two studies. Meta-analysis did not demonstrate a significant reduction in readmission rate. There was no consistent evidence of reduction in emergency department attendance or primary care workload.

conclusionsPharmacists can identify and resolve discrepancies when completing medication reconciliation after hospital discharge, but patient outcome or care workload improvements were not consistently seen. Future research should examine the clinical relevance of discrepancies and potential benefits on reducing healthcare team workload.

Indexed as

Patient DischargePharmacistsProfessional RoleHumansMedication Reconciliationmedication reconciliationpharmacistsprimary caretransitions in care

Identifiers

PMID29248878
PMCPMC5867444

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.