Evidence map›Paper›PMID 38727777›Full record

ArticleInternational journal of clinical pharmacy2024

Optimisation of medication reconciliation using queueing theory: a computer experiment.

W J Kruik-Kollöffel, G A W Moltman, M D Wu, A Braaksma, F Karapinar, R J Boucherie

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Article in International journal of clinical pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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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.

W J Kruik-Kollöffel *Department of Clinical Pharmacy, Ziekenhuisgroep Twente (Hospital Group Twente), Postbus 7600, Almelo and Hengelo, 7600 SZ, The Netherlands. w.kruik@sxb.nl.ORCID http://orcid.org/0000-0001-6204-9027
G A W Moltman *Center for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.
M D WuDepartment of Clinical Pharmacy, Ziekenhuisgroep Twente (Hospital Group Twente), Postbus 7600, Almelo and Hengelo, 7600 SZ, The Netherlands.
A BraaksmaCenter for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.
F KarapinarDepartment of Clinical Pharmacy and Toxicology, Maastricht University Medical Center+, Maastricht, The Netherlands.
R J BoucherieCenter for Healthcare Operations Improvement and Research (CHOIR), University of Twente, Enschede, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedication reconciliation (MedRec) in hospitals is an important tool to enhance the continuity of care, but completing MedRec is challenging.

aimThe aim of this study was to investigate whether queueing theory could be used to compare various interventions to optimise the MedRec process to ultimately reduce the number of patients discharged prior to MedRec being completed. Queueing theory, the mathematical study of waiting lines or queues, has not been previously applied in hospital pharmacies but enables comparisons without interfering with the baseline workflow.

methodPossible interventions to enhance the MedRec process (replacing in-person conversations with telephone conversations, reallocating pharmacy technicians (PTs) or adjusting their working schedule) were compared in a computer experiment. The primary outcome was the percentage of patients with an incomplete discharge MedRec. Due to the COVID-19 pandemic, it was possible to add a real-life post hoc intervention (PTs starting their shift later) to the theoretical interventions. Descriptive analysis was performed.

resultsThe queueing model showed that the number of patients with an incomplete discharge MedRec decreased from 37.2% in the original scenario to approximately 16% when the PTs started their shift 2 h earlier and 1 PT was reassigned to prepare the discharge MedRec. The number increased with the real-life post hoc intervention (PTs starting later), which matches a decrease in the computer experiment when started earlier.

conclusionUsing queueing theory in a computer experiment could identify the most promising theoretical intervention to decrease the percentage of patients discharged prior to MedRec being completed.

Indexed as

Medication ReconciliationPharmacy Service, HospitalContinuity of Patient CareCOVID-19HumansModels, TheoreticalPatient DischargePharmacy TechniciansMedication errorsMedication reconciliationPatient safetyPharmacy service, hospitalQuality improvementQuality of health careWaiting lists

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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.