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1000
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Abstract/Summary
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Puprose!#!An emergency caesarean section is a potentially life-threatening situation both for the mother and the newborn. Non-technical skills can be improved by simulation training and are necessary to manage this urgent situation successfully. The objective of this study was to investigate, if training of emergency caesarean section can be transferred into daily work to improve the outcome parameters pH an APGAR of the newborn.!##!Methods!#!In this pre-post study, 141 professionals took part in a training for emergency caesarean section. Participants received a questionnaire, based on the tools 'Training Evaluation Inventory' and 'Transfer Climate Questionnaire' 1 year after training. Outcome data of the newborn were collected from the hospitals information system.!##!Results!#!Except the scale 'extinction', Cronbach's alpha was higher than 0.62. All scales were rated lower than 2.02 on a 5-point Likert Scale (1 = fullest approval; 5 = complete rejection). 'Negative reinforcement' was rated with 2.87 (SD 0.73). There were no significant differences in outcome data prior. The questionnaire fulfils criteria for application except the scale 'extinction'.!##!Conclusion!#!The presented training course was perceived as useful by the professionals and attitudes toward training were positive; the content was positively reinforced in practice 1 year after training. Parameters of the newborn did not change. It is conceivable that other outcome parameters (e.g. posttraumatic stress disorder) are addressed by the training. The development of relevant outcome parameters for the quality of emergency sections needs further investigation.
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1000
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Hinweis
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DeepGreen-ID: f07a675624dc47698968d0eb71700e8a ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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