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Title:
Uporaba triažnega algoritma sieve med delavci v zdravstveni negi
Authors:
ID
Sikole, Valerija
(Author)
ID
Koželj, Anton
(Mentor)
More about this mentor...
ID
Strnad, Matej
(Comentor)
Files:
VS_Tovornik_Valerija_2019.pdf
(1,39 MB)
MD5: 357F451E5AC1CCC2BAB3B219C702458E
PID:
20.500.12556/dkum/bd91158a-2367-4be1-a68f-48fd13ac84fd
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FZV - Faculty of Health Sciences
Abstract:
Izhodišče in namen: Pogostost množičnih nesreč v Sloveniji je majhna, vendar se v zadnjem času, zaradi prehitrega tempa življenja in posledične preobremenjenosti vseh nas, pojavnost le-teh z leti povečuje, zato je pomembno, da delavci v zdravstveni negi poznajo triažni algoritem, saj lahko na podlagi ustreznega poznavanja, v primeru pojava množične nesreče, ustrezno ukrepajo in rešijo življenja. Namen zaključnega dela je ugotoviti poznavanje uporabe triažnega algoritma med delavci v zdravstveni negi pred izobraževanjem, narediti kratko (5 minutno) izobraževanje in na koncu še enkrat preveriti njihovo pridobljeno znanje. Raziskovalna metodologija in metode: Empirični del zaključnega dela predstavlja raziskava, ki je bila opravljena v mesecu aprilu 2019. Podatki so bili zbrani s pomočjo anketnega vprašalnika. V anketo je bilo vključenih 51 delavcev zaposlenih v zdravstveni negi, ki smo jih izbrali naključno. Rezultate, ki smo jih pridobili, smo analizirali in obdelali s pomočjo računalniških programov: Microsoft Office Word, Microsoft Office Excel in IBM SPSS 25.0. Rezultati: S pomočjo izvedene raziskave smo ugotovili, da se skoraj polovica delavcev v zdravstveni negi, 25 (49 %), še nikoli ni udeležila izobraževanja o triaži, vendar je kljub temu njihovo skupno povprečno znanje o razvrščanju v ustrezne triažne kategorije pred izobraževanjem 55,6 %, po izobraževanju pa kar 79 %. Diskusija in zaključek: Poznavanje triažnega algoritma predstavlja velik pomen, zato bi bilo potrebno s pomočjo dodatnih izobraževanj delavcev v zdravstveni negi njihovo znanje o triaži ustrezno redno izpopolnjevati in obnavljati.
Keywords:
Medicinska sestra
,
nujna medicinska pomoč
,
urgentna stanja
,
masovna nesreča
,
primarna triaža
,
sekundarna triaža
Place of publishing:
Maribor
Publisher:
[V. Tovornik]
Year of publishing:
2019
PID:
20.500.12556/DKUM-73578
UDC:
616-083.98(043.2)
COBISS.SI-ID:
2517924
NUK URN:
URN:SI:UM:DK:TFFCK3KP
Publication date in DKUM:
16.09.2019
Views:
1757
Downloads:
328
Metadata:
Categories:
FZV
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:
SIKOLE, Valerija, 2019,
Uporaba triažnega algoritma sieve med delavci v zdravstveni negi
[online]. Bachelor’s thesis. Maribor : V. Tovornik. [Accessed 29 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=73578
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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:
17.05.2019
Secondary language
Language:
English
Title:
Use of the sieve triage algorithm among health care workers
Abstract:
Background: The frequency of mass disaster in Slovenia is small, but recently, because of too fast pace of life and the consequent overburdening off all of us, the incidence has been increasing over the years, so it is important that health care workers know the triage algorithm so they can make the right decision while dealing whit mass-casualty incidents. The prupose of the final work is to check the knowledge of the triage algorithm among the health care workers before and after a short education. Research methodology: The empirical part consist of a research, that was carried out in April 2019. The data were collected whit using a questionnarie. The survey included 51 health care workers who were radomly selected. We analized results with using Microsoft Office Word, Microsoft Office Excell and IBM SPSS 25.0. Results: We have concluded that nearly half (49 %) of surveyed workers had never taken a course regarding triage. Their familiarity of use of the triage algorithm was 55,6 % before the short education of use and 79 % after. Discussion and conclusion: Being familiar with the triage algorithm is of great importance, therefore, with the help of additional training of health care workers, their knowledge of the triage should be adequately refined and updated
Keywords:
Nurse
,
first aid
,
medical emergency
,
mass-casualty incident
,
primary triage
,
secondary triage
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