Evidence map›Paper›PMID 32951162›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2020

Implementing a new scale for failure mode and effects analysis (FMEA) for risk analysis in a radiation oncology department.

Andrea Baehr, Michael Oertel, Kai Kröger, Hans Theodor Eich, Uwe Haverkamp

Abstract read
PubMed Publisher
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  7. Unified risk analysis in radiation therapy.Zeitschrift fur medizinische Physik · 2023
    Article
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  9. Testicular germ cell tumour arising 15 years after radiotherapy with 18 Gy for germ cell neoplasia in situ.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023
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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

5 authors at 1 institution in 1 country.

Andrea BaehrDepartment of Radiation Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany. andrea.baehr@ukmuenster.de.ORCID http://orcid.org/0000-0003-0301-7249
Michael OertelDepartment of Radiation Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Kai KrögerDepartment of Radiation Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Hans Theodor EichDepartment of Radiation Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Uwe HaverkampDepartment of Radiation Oncology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
University Hospital Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePatients and staffs are endangered by different failure modes during clinical routine in radiation oncology and risks are difficult to stratify. We implemented the method of failure mode and effects analysis (FMEA) via questionnaires in our institution and introduced an adapted scale applicable for radiation oncology.

methodsFailure modes in physical treatment planning and daily routine were detected and stratified by ranking occurrence, severity, and detectability in a questionnaire. Multiplication of these values offers the risk priority number (RPN). We implemented an ordinal rating scale (ORS) as a combination of earlier published scales from the literature. This scale was optimized for German radiation oncology. We compared RPN using this ORS versus use of a rather subjective visual analogue rating scale (VRS).

resultsMean RPN using ORS was 62.3 vs. 67.5 using VRS (p = 0.7). Use of ORS led to improved completeness of questionnaires (91 vs. 79%) and stronger agreement among the experts, especially concerning failure modes during radiation routine. The majority of interviewed experts found the analysis by using the ORS easier and expected a saving of time as well as higher intra- and interobserver reliability.

conclusionThe introduced rating scale together with a questionnaire survey provides merit for conducting FMEA in radiation oncology as results are comparable to the use of VRS and the process is facilitated.

Indexed as

GermanyHealthcare Failure Mode and Effect AnalysisHumansNeoplasmsRadiation OncologyRadiotherapy Planning, Computer-AssistedSurveys and QuestionnairesWorkflowFailure analysisQuality and safetyRadiation protectionRisk assessmentStrahlenschutzverordnung

Identifiers

PMID32951162
OpenAlexW3087560516

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.