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Title:Odločitveni model usposobljenosti zaposlenih v zdravstveni negi za delo v izrednih razmerah
Authors:ID Slovenc, Sabina (Author)
ID Vukovič, Goran (Mentor) More about this mentor... New window
ID Rajkovič, Uroš (Comentor)
Files:.pdf MAG_Slovenc_Sabina_2021.pdf (699,44 KB)
MD5: BD8AEC34F84E8B6D0A3266EA3D93C621
PID: 20.500.12556/dkum/8284baf1-2603-4d86-aae1-0f5c637c2b84
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FOV - Faculty of Organizational Sciences in Kranj
Abstract:Naši cilji so bili ugotoviti, kaj zaposleni v zdravstveni negi potrebuje za ukrepanje v izrednih razmerah in nato izdelati model usposobljenosti zaposlenega v zdravstveni negi za delo v izrednih razmerah s pomočjo metodologije DEX. S pregledom teorije s področja izrednih razmer, poklicnih kompetenc medicinskih sester in načina usposabljanja delavcev smo osnovali teoretična izhodišča za izdelavo magistrskega dela. Oblikovali smo ekspertno skupino, s katero smo na podlagi strokovne literature in osebnih izkušenj pri delu v zdravstvu določili kriterije, ki so potrebni za delo v izrednih razmerah. Pripravili smo tudi dva vprašalnika, ki sta kot kriterija vključena v model. Kot izredne razmere smo določili množične nesreče. S pomočjo DEX metodologije smo naredili model, katerega smo validirali na petih kandidatih. Z rezultati smo zadovoljni, saj smo dobili v pogled v znanje pri delu ob množični nesreči in videli, kje so primanjkljaji in priložnosti za izboljšanje. Izkazalo se je, da so zaposleni več kot primerni za delo v izrednih razmerah. Kljub temu so bili slabše ocene deležni vsi kandidati pri usposabljanju, saj so imeli izobraževanje pred več leti. Povzamemo lahko, da so zaposleni v zdravstveni negi strokovno podkovani za delo, ki ga opravljajo, vendar je prisoten deficit pri obiskih tečajev in usposabljanj na področju množičnih nesreč, zato bi bilo na tem področju potrebno več narediti.
Keywords:izredne razmere, množične nesreče, DEXi, usposabljanje, kompetence.
Place of publishing:Maribor
Year of publishing:2021
PID:20.500.12556/DKUM-80959 New window
COBISS.SI-ID:92068355 New window
Publication date in DKUM:05.01.2022
Views:1072
Downloads:127
Metadata:XML DC-XML DC-RDF
Categories:FOV
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.11.2021

Secondary language

Language:English
Title:Decision model of competence of nursing staff to work in emergency situation
Abstract:Our goals were to identify what a nursing employee needs to deal with in an emergency and then to do a model of training an employee in nursing to work in an emergency situation using the DEX methodology. By reviewing the theory of emergencies, professional competences of nurses and the way in which workers are training, we have established theoretical starting points for the production of the master's thesis. We formed an expert group with which we determined the criteria necessary for working in emergencies on the basis of literature and personal experience in health care. We also prepared two questionnaires, which are included as criteria in the model. We have identified mass casualtys as a state of emergency. Using the DEX methodology, we developed a model that was validated on five candidates. We are pleased with the results because we have got a look at the knowledge at work in the face of a mass disaster and see where the deficits and opportunities for improvement are. It turns out that employees are more than suitable for emergency work. However, all candidates in training received worse grades because they had it several years ago. In summary, nursing staff are professionally qualified for the work they do, but the shortfall in visits to mass accident courses and training is something that should be worked on.
Keywords:emergencies, mass casualty, DEXi, work training, competences.


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