Evidence map›Paper›PMID 34377441›Full record

ArticleHealth systems (Basingstoke, England)2021

Improving chemotherapy infusion operations through the simulation of scheduling heuristics: a case study.

Ryan F Slocum, Herbert L Jones, Matthew T Fletcher, Brandon M McConnell, Thom J Hodgson, Javad Taheri, James R Wilson

Abstract readCase Reports
In one paragraph

Article in Health systems (Basingstoke, England), 2021. 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. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021
    Review
  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

7 authors.

Ryan F SlocumUnited States Army.
Herbert L JonesDepartment of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0003-4512-1159
Matthew T FletcherCenter for Additive Manufacturing and Logistics, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-4138-4245
Brandon M McConnellCenter for Additive Manufacturing and Logistics, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0003-0091-215X
Thom J HodgsonDepartment of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-8077-4780
Javad TaheriDepartment of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, USA.
James R WilsonDepartment of Industrial & Systems Engineering, North Carolina State University, Raleigh, NC, USA.ORCID https://orcid.org/0000-0002-6255-4485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, chemotherapy treatments have dramatically shifted to outpatient services such that nearly 90% of all infusions are now administered outpatient. This shift has challenged oncology clinics to make chemotherapy treatment as widely available as possible while attempting to treat all patients within a fixed period of time. Historical data from a Veterans Affairs chemotherapy clinic in the United States and staff input informed a discrete event simulation model of the clinic. The case study examines the impact of altering the current schedule, where all patients arrive at 8:00 AM, to a schedule that assigns patients to two or three different appointment times based on the expected length of their chemotherapy infusion. The results identify multiple scheduling policies that could be easily implemented with the best solutions reducing both average patient waiting time and average nurse overtime requirements.

Indexed as

chemotherapyDiscrete event simulation (DES)healthcarescheduling

Identifiers

PMID34377441
PMCPMC8330715

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.