Audit of anesthetic equipment in veterinary clinics in Spain and Portugal

dc.centroUniversidad Cardenal Herrera-CEU
dc.contributor.authorDoménech Ballester, Luis
dc.contributor.authorMateu Montesinos, Cristina
dc.contributor.authorBañeres de la Torre, Alfonso
dc.contributor.authorMartínez Jacobe, Amalia
dc.contributor.authorLopes, Diana
dc.contributor.authorRedondo García, José Ignacio
dc.contributor.otherProducción Científica UCH 2020
dc.contributor.otherUCH. Departamento de Medicina y Cirugía Animal
dc.contributor.otherUCH. Departamento de Matemáticas, Física y Ciencias Tecnológicas
dc.date2020
dc.date.accessioned2021-05-14T04:00:24Z
dc.date.available2021-05-14T04:00:24Z
dc.date.issued2020-12-21
dc.descriptionEste artículo se encuentra disponible en la siguiente URL: https://www.frontiersin.org/articles/10.3389/fvets.2020.592597/full
dc.description.abstractThe objective of this retrospective study was to review the results of a 4-year audit performed on anesthetic machines and vaporizers used in veterinary clinics in Spain and Portugal. Data was collected between July 2016 and April 2020. Inspections were carried out by a team of seven veterinarians, using a human-modified system of checks that was adapted to a veterinary practice. The evaluation of each item was noted as “correct” or “incorrect”. The vaporizers’ performance was evaluated using a self-calibrating gas analyzer. The vaporizer was classified as “correct” or “incorrect” when the vaporization error was less than or equal to, or more than 20%, respectively. The anesthetic machine was classified as “conforming” if all its components were noted as “correct” and no leaks were detected, or as “non-conforming” if any of the components was noted as “incorrect” or if a leak was detected. If the inspector was able to repair on-site the item malfunctions detected and the machine was fit for use, they issued a final report as “conforming.” On the contrary, if such malfunctions persisted, the final report was “non-conforming,” and a recommendation to remove the machine from service until its final repair was provided. To perform statistical analysis, each inspected item was used as predictor, classification and regression trees were built, and a random forest analysis was performed. A total of 2,001 anesthetic machines and 2,309 vaporizers were studied. After inspection, 42.7 and 26.4%of the machines were non-conforming and conforming, respectively, whereas 30.9%could be repaired in situ. A total of 27.1%of the isoflurane vaporizers and 35.9%of the sevoflurane vaporizers were incorrect. Machine learning techniques showed that the most important variables in the classification of the anestheticmachines as conforming or non-conforming were mostly the scavenger system and the canister, followed some way behind by the APL valve, source of oxygen, reservoir bag, vaporizer, and connections.
dc.formatapplication/pdf
dc.identifier.citationRedondo, J.I., Domenech, L., Mateu, C., Bañeres, A., Martínez, A. and Lopes, D. (2020). Audit of anesthetic equipment in veterinary clinics in Spain and Portugal. Frontiers in Veterinary Science, vol. 7, art. 592597 (21 dec.). DOI: 10.3389/fvets.2020.592597
dc.identifier.doihttps://doi.org/10.3389/fvets.2020.592597
dc.identifier.issn2297-1769 (Electrónico).
dc.identifier.urihttp://hdl.handle.net/10637/12611
dc.language.isoes
dc.language.isoen
dc.publisherFrontiers Media.
dc.relation.ispartofFrontiers in Veterinary Science, vol. 7.
dc.rightsopen access
dc.rights.cchttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subjectVeterinary anesthesia - Equipment and supplies.
dc.subjectClínicas veterinarias - Aparatos y material.
dc.subjectAnalgesia (Veterinary) - Equipment and supplies.
dc.subjectAnalgesia veterinaria - Aparatos y material.
dc.subjectAnestesia veterinaria - Aparatos y material.
dc.subjectVeterinary hospitals - Equipment and supplies.
dc.titleAudit of anesthetic equipment in veterinary clinics in Spain and Portugal
dc.typeArtículo
dspace.entity.typePublicationes
relation.isAuthorOfPublicationf19fde52-9c40-42ec-bd52-38598c1a7d70
relation.isAuthorOfPublication.latestForDiscoveryf19fde52-9c40-42ec-bd52-38598c1a7d70

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