Ārsta palīga teorētiskā sagatavotība katastrofu gadījumos pēc triāžas sistēmas algoritma
No Thumbnail Available
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Rīgas Stradiņa universitāte
Rīga Stradiņš University
Rīga Stradiņš University
Abstract
Kvalifikācijas darba tēma:„Ārstu palīgu teorētiskā sagatavotība katastrofu gadījumos pēc triāžas sistēmas algoritma.” Traumu skaits, ko izraisa katastrofu situācijas un nelaimes gadījumi, pasaulē palielinās. Lai noteiktu pacientu veselības stāvokli un nodrošinātu viņus ar pienācīgiem medicīnas pakalpojumiem, svarīgi negadījumu laikā optimāli izmantojot medicīnas centru resursus un aprīkojumu tiem sniegt palīdzību. Šķirošanas sistēmas izmantošana ir viens no galvenajiem nelaimes gadījumu vadības principiem(Jenkins et at.,2008) Nesenajā populācijas epidemioloģiskajā pētījumā ir konstatēti vairāk masveida negadījumi nekā tas tika prognozēts, tas būtu jāņem vērā plānojot reakciju uz atbilstošo situāciju. Tas nozīmē, ka šajās situācijās jāizmanto īpašas procedūras, lai glābtu pēc iespējas vairāk dzīvību (Gonzalez et al.,2016). Viena no šīm procedūrām ir triāža, kas definēta kā pacientu klasifikācija dažādās kategorijās pēc smaguma pakāpes un prognozes, lai noteiktu ārstēšanas un evakuācijas prioritāti (Vasallo, Smith,2019) Cietušo šķirošana ir pirmais etaps NMP nodrošināšanā notikumu vietā, nelaimes gadījumos ar daudziem cietušajiem vienlaicīgi ĀMS un katastrofās. Cietušo šķirošanu veic ārstniecības persona, kura notikuma vietā ir ieradusies pirmā vai vadības ārsta nozīmētā visvairāk pieredzējusī ārstniecības persona, kura atrodas notikuma vietā-šķirošanas ārsts (NMPD rekomendācijas,2018). Kvalifikācijas darba mērķis: Izpētīt NMP dienestā strādājošo ārstu palīgu teorētisko sagatavotību katastrofu gadījumos,izmantojot triāžas sistēmas algoritmu.
Izvirzītais pētījuma jautājums:Vai ārstu palīgu teorētiskā sagatavotība katastrofu gadījumosizmantojottriāžassistēmasalgoritmuirvērtējamakāaugsta?
Pētījuma populācija : Pētījuma respondenti ir sertificēti ārstu palīgi, vecumā virs 20 gadiem un strādā NMP dienestā.
Pētījuma metode: Pētījumā tika izmantota kvantitatīva pētīšanas metode. Autora veidota anketa, kuras izstrādes idejā tika izmantots Valsts katastrofu medicīnas plāns par cietušo šķirošanas algoritmu(VKM,2018).
Balstoties uz pētījumā iegūtajiem datiem, pētījuma izvirzītais jautājums ir apstiprināts. Vidējais zināšanu līmenis sasniedz 77%, tas nozīmē, ka ir pilnībā apgūtas cietušo šķirošanas algoritma prasības, taču reizēm trūkst prasmes patstāvīgi un radoši pielietot iegūtās zināšanas. Ir sasniegti darbam izvirzītie uzdevumi. Tomēr tiecoties pēc augstākiem vidējo zināšanu rādītājiem, būtu vēlams pastiprinātāk izglītot sertificētos ārsta palīgus, jo vadoties pēc Vācijā izstrādātā pētījuma,zināšanu vidējais līmenis ir augstāks, ja apmācības kursus veic vismaz reizi gadā.
Topic of the qualification paper: “Theoretical proficiency of assistant physician in disasters in accordance with the triage system algorithm.” The amount of trauma caused by disasters and emergencies is on the rise worldwide. Optimal use of medical centre resources and equipment during disasters is important to determine the health condition of the patient and provide them with appropriate health services. The use of the sorting system is one of the main principles of emergency management(Jenkinsetal.,2008). More emergencies of mass character than predicted have been detected in a recent epidemiological study of the population, which should be taken into consideration, while planning a response to the respective situation. This means that special procedures must be employed in these situations to save the maximum possible number of lives ( Gonzalez et al., 2016). One such procedure is triage, which has been defined as the classification of patients in different categories by the degree of severity and prognosis to determine treatment and evacuation priorities(Vasallo,Smith,2019).Sorting of victims is the first phase in the provision of on-site emergency medical care in the event of emergencies with many victims during medical emergencies and disasters. The sorting of victims is performed by a sorting physician - medical professional that has first arrived at the site of emergency or the most experienced medical professional appointed by a senior physician, who is present on-site (Recommendations of the State Emergency Medical Service, 2018). Objective of the Qualification Paper: To research the readiness of assistant physicians working for the Emergency Medical Service to use the triage system algorithm in the event of disasters. Research Question Set: Can the readiness of assistant physicians to use the triage system algorithm in the event of disasters be assessed as high? Research Population: The respondents of the research are certified assistant physicians over 20 years of age,who are working for the Emergency Medical Service. Research method: Quantitative research method will be used for the research.The questionnaire developed by the author, on the basis of the idea of the State Disaster Medicine Plan of the sorting algorithm for victims(VKM(StateDisasterMedicine),2018). On the basis of the data obtained from the study, the question raised by the study has been confir med. The average level of knowledge reaches 77%, this means that the requirements of the victim sorting algorithm have been fully learned, but sometimes lack the skills to apply the acquired knowledge independentlyand creatively.Jobchallenge s have been reached.However, in pursuing higher averages, it would be desirable to further educa te certified physician assistants,because, based on a study developed in Germany, the average lev el of knowledge is higher when training courses are carried out at least once a year.
Topic of the qualification paper: “Theoretical proficiency of assistant physician in disasters in accordance with the triage system algorithm.” The amount of trauma caused by disasters and emergencies is on the rise worldwide. Optimal use of medical centre resources and equipment during disasters is important to determine the health condition of the patient and provide them with appropriate health services. The use of the sorting system is one of the main principles of emergency management(Jenkinsetal.,2008). More emergencies of mass character than predicted have been detected in a recent epidemiological study of the population, which should be taken into consideration, while planning a response to the respective situation. This means that special procedures must be employed in these situations to save the maximum possible number of lives ( Gonzalez et al., 2016). One such procedure is triage, which has been defined as the classification of patients in different categories by the degree of severity and prognosis to determine treatment and evacuation priorities(Vasallo,Smith,2019).Sorting of victims is the first phase in the provision of on-site emergency medical care in the event of emergencies with many victims during medical emergencies and disasters. The sorting of victims is performed by a sorting physician - medical professional that has first arrived at the site of emergency or the most experienced medical professional appointed by a senior physician, who is present on-site (Recommendations of the State Emergency Medical Service, 2018). Objective of the Qualification Paper: To research the readiness of assistant physicians working for the Emergency Medical Service to use the triage system algorithm in the event of disasters. Research Question Set: Can the readiness of assistant physicians to use the triage system algorithm in the event of disasters be assessed as high? Research Population: The respondents of the research are certified assistant physicians over 20 years of age,who are working for the Emergency Medical Service. Research method: Quantitative research method will be used for the research.The questionnaire developed by the author, on the basis of the idea of the State Disaster Medicine Plan of the sorting algorithm for victims(VKM(StateDisasterMedicine),2018). On the basis of the data obtained from the study, the question raised by the study has been confir med. The average level of knowledge reaches 77%, this means that the requirements of the victim sorting algorithm have been fully learned, but sometimes lack the skills to apply the acquired knowledge independentlyand creatively.Jobchallenge s have been reached.However, in pursuing higher averages, it would be desirable to further educa te certified physician assistants,because, based on a study developed in Germany, the average lev el of knowledge is higher when training courses are carried out at least once a year.
Description
Ārsta palīgs
Physician's Assistant
Veselības aprūpe
Health Care
Physician's Assistant
Veselības aprūpe
Health Care
Keywords
katastrofu medicīna, pacientu šķirošana, sertificētu ārsta palīga profesijas standarts, triage prehospital, salt and start triage, natural disasters by death toll, emergancy department, disater risk management