Evidence map›Paper›PMID 40438317›Full record

ArticleHealth systems (Basingstoke, England)2025

Balanced patient assignment to healthcare centres through dispatching rules.

Aydin Teymourifar, Maria A M Trindade

Abstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

2 authors.

Aydin TeymourifarCatólica Porto Business School, Centro de Estudos em Gestão e Economia, Universidade Católica Portuguesa, Porto, Portugal.
Maria A M TrindadeSDA Bocconi, School of Management, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the realm of public health management, ensuring a balanced assignment of patients to healthcare centres is a critical concern. This study introduces a novel approach for this purpose, utilizing dispatching rules. Highlighting the need for an easily applicable approach to regulating patient flow efficiently, the study shows the benefit of utilizing dispatching rules in healthcare management. Innovatively, this research departs from traditional approaches by introducing a multi-objective model grounded in the concept of sectorization. This model, unique in the public health literature, leverages dispatching rules to simplify complex, dynamic patient assignment scenarios. Incorporating various factors, the model is simulated, and the optimization of the dispatching rules is carried out. The study's findings demonstrate that the optimized dispatching rule significantly enhances the model's efficacy in balancing patient assignments across healthcare centres. This improvement is pivotal in addressing the uneven distribution of healthcare resources. This research makes a substantial contribution to the public health literature by offering a novel and practical solution for balancing patient load among healthcare centres. Its successful application in simulated environments suggests a promising pathway for real-world implementations, potentially leading to more efficient healthcare systems and improved patient care outcomes.

Indexed as

balancingdispatching ruleshealthcare centresPatient assignmentsectorizationsimulation

Identifiers

PMID40438317
PMCPMC12107655

What Socratic 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 Socratic graph.