Assisting beginners in root cause analysis operations: analysis and recommendations regarding the spread of COVID-19 in nursing facilities for the elderly.


Journal

BMJ open quality
ISSN: 2399-6641
Titre abrégé: BMJ Open Qual
Pays: England
ID NLM: 101710381

Informations de publication

Date de publication:
Sep 2020
Historique:
received: 29 02 2020
revised: 08 07 2020
accepted: 12 08 2020
entrez: 5 9 2020
pubmed: 5 9 2020
medline: 17 9 2020
Statut: ppublish

Résumé

To analyse a medical accident, much time and experience are needed. However, people without experience in analysis have difficulty understanding its conditions and methods, and as a result it takes longer to establish countermeasures. It must be noted that understanding conditions by simply aligning occurrences in the accident in a chronological order is difficult. A workflow chart that considers time was proposed so that individuals without adequate experience in analysis could easily carry out root cause analysis. In the 'workflow chart (WFC)', the time sequence was described horizontally. On the vertical axis, the business manual, the occurrence of the accident, and the time of the occurrence are displayed. In the bottom column of patient event, information regarding damage to patients was written in accordance with time axis. Regarding the degree of damage, the time of error until the accident was identified was connected using a straight line (when the patient was not affected, a dotted line was used) in order to show the overall picture of the accident. According to the time flow chart, hints to identify potential risks were proposed. Focus was placed not only on the error event, but also on keywords such as manual inadequacy, time gap, degree of error and so on to easily lead to the question 'why?' To visualise this, I proposed an operation flow chart. By using time-WFC, even beginners can easily develop accident countermeasure strategies. Using a WFC that considers time, time of error and the occurrence of accident could be visualised. As a result, even individuals without experience in analysis could easily perform an analysis.

Sections du résumé

BACKGROUND BACKGROUND
To analyse a medical accident, much time and experience are needed. However, people without experience in analysis have difficulty understanding its conditions and methods, and as a result it takes longer to establish countermeasures. It must be noted that understanding conditions by simply aligning occurrences in the accident in a chronological order is difficult.
PURPOSE OBJECTIVE
A workflow chart that considers time was proposed so that individuals without adequate experience in analysis could easily carry out root cause analysis.
METHODS METHODS
In the 'workflow chart (WFC)', the time sequence was described horizontally. On the vertical axis, the business manual, the occurrence of the accident, and the time of the occurrence are displayed. In the bottom column of patient event, information regarding damage to patients was written in accordance with time axis. Regarding the degree of damage, the time of error until the accident was identified was connected using a straight line (when the patient was not affected, a dotted line was used) in order to show the overall picture of the accident.
RESULTS RESULTS
According to the time flow chart, hints to identify potential risks were proposed. Focus was placed not only on the error event, but also on keywords such as manual inadequacy, time gap, degree of error and so on to easily lead to the question 'why?' To visualise this, I proposed an operation flow chart. By using time-WFC, even beginners can easily develop accident countermeasure strategies.
CONCLUSION CONCLUSIONS
Using a WFC that considers time, time of error and the occurrence of accident could be visualised. As a result, even individuals without experience in analysis could easily perform an analysis.

Identifiants

pubmed: 32883676
pii: bmjoq-2020-000960
doi: 10.1136/bmjoq-2020-000960
pmc: PMC7474900
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

Références

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pubmed: 11549951
BMJ Qual Saf. 2017 May;26(5):381-387
pubmed: 27940638
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2005 Dec 20;61(12):1638-44
pubmed: 16395239
BMJ Qual Saf. 2017 May;26(5):417-422
pubmed: 27340202
BMJ Qual Saf. 2016 Feb;25(2):71-5
pubmed: 26347519
BMJ Qual Saf. 2013 Sep;22(9):705-9
pubmed: 23580631
Anesthesiology. 1978 Dec;49(6):399-406
pubmed: 727541
JAMA. 2008 Feb 13;299(6):685-7
pubmed: 18270357
BMJ Qual Saf. 2017 Aug;26(8):671-677
pubmed: 27590189

Auteurs

Hitoshi Tsuchiya (H)

Graduate of Health Sciences, Gunma Paz University, Takasaki, Gunma, Japan tsuchiya@paz.ac.jp.

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Classifications MeSH