Evidence map›Paper›PMID 36327045›Full record

ArticleInternational journal of clinical pharmacy2023

The impact of pharmacist-led medication reconciliation and interprofessional ward rounds on drug-related problems at hospital discharge.

Helene Studer, Tamara L Imfeld-Isenegger, Patrick E Beeler, Marco G Ceppi, Christoph Rosen, Michael Bodmer, Fabienne Boeni, Kurt E Hersberger, Markus L Lampert

Abstract read
In one paragraph

Article in International journal of clinical pharmacy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Analysis of clinical pharmacists' interventions in a rehabilitation setting.Journal of pharmaceutical policy and practice · 2025
    Article
  9. Observational
  10. Article
  11. Article
  12. 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

9 authors.

Helene StuderPharmaceutical Care Research Group, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland. helene.studer@unibas.ch.ORCID http://orcid.org/0000-0001-9186-8822
Tamara L Imfeld-IseneggerPharmaceutical Care Research Group, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland.
Patrick E BeelerOccupational and Environmental Medicine, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, University Hospital Zurich, Zurich, Switzerland.
Marco G CeppiHospital Pharmacy, Zuger Kantonsspital AG, Baar, Switzerland.
Christoph RosenHospital Pharmacy, Zuger Kantonsspital AG, Baar, Switzerland.
Michael BodmerInternal Medicine, Zuger Kantonsspital AG, Baar, Switzerland.
Fabienne BoeniPharmaceutical Care Research Group, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland.
Kurt E HersbergerPharmaceutical Care Research Group, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland.
Markus L LampertPharmaceutical Care Research Group, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056, Basel, Switzerland.

Funding

Swiss Association of Public Health Administration and Hospital Pharmacists 2018
6 · The paper itself

Abstract

backgroundDuring transitions of care, including hospital discharge, patients are at risk of drug-related problems (DRPs).

aimTo investigate the impact of pharmacist-led services, specifically medication reconciliation at admission and/or interprofessional ward rounds on the number of DRPs at discharge.

methodIn this retrospective, single-center cohort study, we analyzed routinely collected data of patients discharged from internal medicine wards of a regional Swiss hospital that filled their discharge prescriptions in the hospital's community pharmacy between June 2016 and May 2019. Patients receiving one of the two or both pharmacist-led services (Study groups: Best Care = both services; MedRec = medication reconciliation at admission; Ward Round = interprofessional ward round), were compared to patients receiving standard care (Standard Care group). Standard care included medication history taken by a physician and regular ward rounds (physicians and nurses). At discharge, pharmacists reviewed discharge prescriptions filled at the hospital's community pharmacy and documented all DRPs. Multivariable Poisson regression analyzed the independent effects of medication reconciliation and interprofessional ward rounds as single or combined service on the frequency of DRPs.

resultsOverall, 4545 patients with 6072 hospital stays were included in the analysis (Best Care n = 72 hospital stays, MedRec n = 232, Ward Round n = 1262, and Standard Care n = 4506). In 1352 stays (22.3%) one or more DRPs were detected at hospital discharge. The combination of the two pharmacist-led services was associated with statistically significantly less DRPs compared to standard care (relative risk: 0.33; 95% confidence interval: 0.16, 0.65). Pharmacist-led medication reconciliation alone showed a trend towards fewer DRPs (relative risk: 0.75; 95% confidence interval: 0.54, 1.03).

conclusionOur results support the implementation of pharmacist-led medication reconciliation at admission in combination with interprofessional ward rounds to reduce the number of DRPs at hospital discharge.

Indexed as

Medication ReconciliationPharmacy Service, HospitalCohort StudiesHospitalsHumansPatient DischargePharmacistsRetrospective StudiesClinical pharmacyDrug-related problemsHospital dischargeMedication reconciliationMedication review

Identifiers

PMID36327045
PMCPMC9938815

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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.