Evidence map›Paper›PMID 23450593›Full record

SynthesisThe Cochrane database of systematic reviews2013

Medication review in hospitalised patients to reduce morbidity and mortality.

Mikkel Christensen, Andreas Lundh

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 10 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

49 citing papers in PubMed, 10 syntheses or guidelines pooled it, 77 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Identifying high-risk medication: a systematic literature review.European journal of clinical pharmacology · 2014
    Pooled it
  11. Trial
  12. Trial
  13. Trial
  14. Trial
  15. Trial
  16. Trial
  17. Trial
  18. Trial
  19. Trial
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Mikkel ChristensenDepartment of Clinical Pharmacology, Bispebjerg Hospital, Copenhagen, Denmark. mch@dadlnet.dk.
Andreas Lundh
Bispebjerg Hospital · DKRigshospitalet · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPharmacotherapy in the elderly population is complicated by several factors that increase the risk of drug related harms and poorer adherence. The concept of medication review is a key element in improving the quality of prescribing and the prevention of adverse drug events. While no generally accepted definition of medication review exists, it can be defined as a systematic assessment of the pharmacotherapy of an individual patient that aims to evaluate and optimise patient medication by a change (or not) in prescription, either by a recommendation or by a direct change. Medication review performed in adult hospitalised patients may lead to better patient outcomes.

objectivesWe examined whether the delivery of a medication review by a physician, pharmacist or other healthcare professional improves the health outcomes of hospitalised adult patients compared to standard care. SEARCH

methodsWe searched the Cochrane Effective Practice and Organisation of Care (EPOC) Group's Specialised Register (August 2011); The Cochrane Central Register of Controlled Trials (CENTRAL), The Cochrane Library 2011, Issue 8; MEDLINE (1946 to August 2011); EMBASE (1980 to August 2011); CINAHL (1980 to August 2011); International Pharmaceutical Abstracts (1970 to August 2011); and Web of Science (August 2011). In addition we searched reference lists of included trials and relevant reviews. We searched trials registries and contacted experts to identify additional published and unpublished trials. We did not apply any language restrictions. SELECTION CRITERIA: We included randomised controlled trials (RCTs) of medication review in hospitalised adult patients. We excluded trials of outclinic and paediatric patients. Our primary outcome was all-cause mortality and secondary outcomes included hospital readmission, emergency department contacts and adverse drug events. DATA COLLECTION AND ANALYSIS: Two review authors independently included trials, extracted data and assessed trials for risk of bias. We contacted trial authors for clarification of data and additional unpublished data. We calculated relative risks for dichotomous data and mean differences for continuous data (with 95% confidence intervals (CIs)). MAIN

resultsWe identified 4647 references and included five trials (1186 participants). Follow-up ranged from 30 days to one year. We found no evidence of effect on all-cause mortality (risk ratio (RR) 0.98; 95% CI 0.78 to 1.23) and hospital readmissions (RR 1.01; 95% CI 0.88 to 1.16), but a 36% relative reduction in emergency department contacts (RR 0.64; 95% CI 0.46 to 0.89). AUTHORS'

conclusionsIt is uncertain whether medication review reduces mortality or hospital readmissions, but medication review seems to reduce emergency department contacts. However, the cost-effectiveness of this intervention is not known and due to the uncertainty of the estimates of mortality and readmissions and the short follow-up, important treatment effects may have been overlooked. Therefore, medication review should preferably be undertaken in the context of clinical trials. High quality trials with long follow-up are needed before medication review should be implemented.

Indexed as

Cause of DeathInpatientsMedication ReconciliationPolypharmacyAgedEmergency Service, HospitalHumansPatient ReadmissionRandomized Controlled Trials as Topic

Identifiers

PMID23450593
OpenAlexW4241061405

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.