Evidence map›Paper›PMID 37234467›Full record

ArticleHealth systems (Basingstoke, England)2023

Strategic planning of operating room session allocation using stability analysis.

Shiva Faeghi, Kunibert Lennerts, Stefan Nickel

Open access · greenAbstract read
In one paragraph

Article in Health systems (Basingstoke, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 25% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 2 countries.

Shiva FaeghiDepartment of Civil Engineering, Geo and Environmental Sciences, Institute of Technology and Management in Construction, Karlsruhe Institute of Technology, Karlsruhe, Germany.ORCID https://orcid.org/0000-0002-2140-056X
Kunibert LennertsDepartment of Civil Engineering, Geo and Environmental Sciences, Institute of Technology and Management in Construction, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Stefan NickelDepartment of Economics and Management, Institute of Operations Research, Discrete Optimization and Logistics, Karlsruhe Institute of Technology, Karlsruhe, Germany.
Karlsruhe Institute of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Operating room (OR) resources are limited, and for this reason there is usually a competition among surgeons to win them. However, the methods developed for allocating OR sessions are mostly based on optimisation methods which compensate the preferences of surgeons or surgical specialities in favour of the productivity of the entire OR department. This leads to conflict and dissatisfaction among surgeons. To overcome this problem, a methodology based on game theoretic solutions is presented in this paper that formulates the allocation problem as a simple game. The surgeons or specialities as players then jointly pursue the goal of achieving overall stability. Stability is defined and measured using a method called Power Index. The proposed method is then combined with the Monte-Carlo technique to deal with uncertainties. To demonstrate the capability of the suggested procedures, they are applied to a case study from the literature and a set of hypothetical scenarios.

Indexed as

operating roomsResource allocationstability

Identifiers

PMID37234467
PMCPMC10208130
OpenAlexW3210053568

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.