Evidence map›Paper›PMID 38418653›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2024

Cost-benefit ratio of modern medical education using micro-costing: a model calculation using the example of an innovative breast brachytherapy workshop.

Stefan Knippen, Marciana-Nona Duma, Michael Schwedas, Steffen Schrott, Sonja Drozdz, Irina Mäurer, Guido Hildebrandt, Matthias Mäurer

Open access · hybridAbstract read
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Stefan KnippenDepartment of Radiation Oncology, Helios Clinics of Schwerin-University Campus of MSH Medical School Hamburg, Schwerin, Germany. stefan.knippen@helios-gesundheit.de.ORCID 0000-0002-4172-6321
Marciana-Nona DumaDepartment of Radiation Oncology, Helios Clinics of Schwerin-University Campus of MSH Medical School Hamburg, Schwerin, Germany.
Michael SchwedasDepartment of Radiation Oncology, University Medical Center Jena, Jena, Germany.
Steffen SchrottDepartment of Radiation Oncology, University Medical Center Jena, Jena, Germany.
Sonja DrozdzDepartment of Radiation Oncology, University Medical Center Jena, Jena, Germany.
Irina MäurerDepartment for Neurology, University Medical Center Jena, Jena, Germany.
Guido HildebrandtDepartment of Radiation Oncology, University Medical Center Rostock, Rostock, Germany.
Matthias MäurerDepartment of Radiation Oncology, University Medical Center Jena, Jena, Germany.
Jena University Hospital · DEMSH Medical School Hamburg – University of Applied Sciences and Medical University · DEUniversity of Rostock · DE

Funding

Deutsche Forschungsgemeinschaft 413668513
6 · The paper itself

Abstract

background and purposeRadiation oncology is an essential component of therapeutic oncology and necessitates well-trained personnel. Multicatheter brachytherapy (MCBT) is one radiotherapeutic option for early-stage breast cancer treatment. However, specialized hands-on training for MCBT is not currently included in the curriculum for residents. A recently developed hands-on brachytherapy workshop has demonstrated promising results in enhancing knowledge and practical skills. Nevertheless, these simulation-based teaching formats necessitate more time and financial resources. Our analyses include computational models for the implementation and delivery of this workshop and can serve as a basis for similar educational initiatives.

methodsThis study aimed to assess the cost-effectiveness of a previously developed and evaluated breast brachytherapy simulation workshop. Using a micro-costing approach, we estimated costs at a detailed level by considering supplies, soft- and hardware, and personnel time for each task. This method also allows for a comprehensive evaluation of the costs associated with implementing new medical techniques. The workshop costs were divided into two categories: development and workshop execution. The cost analysis was conducted on a per-participant basis, and the impact on knowledge improvement was measured using a questionnaire.

resultsThe total workshop costs were determined by considering the initial workshop setup expenses including the development and conceptualization of the course with all involved collaborators, as well as the costs incurred for each individual course. The workshop was found to be financially efficient, with a per-participant cost of € 39, considering the industrial sponsorship provided for brachytherapy equipment. In addition, we assessed the workshop's efficacy by analyzing participant feedback using Likert scale evaluations. The findings indicated a notable enhancement in both theoretical and practical skills among the participants. Moreover, the cost-to-benefit ratio (CBFR) analysis demonstrated a CBFR of € 13.53 for each Likert point increment.

conclusionThe hands-on brachytherapy workshop proved to be a valuable and approximately cost-effective educational program, leading to a significant enhancement in the knowledge and skills of the participants. Without the support of industrial sponsorship, the costs would have been unattainable.

Indexed as

BrachytherapyEducation, MedicalCost-Benefit AnalysisCurriculumHumansCost efficiencySimulationStudentsTeachingTraining

Identifiers

PMID38418653
PMCPMC10965664
OpenAlexW4392243177

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.