Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments
INTRODUCTION: The hospitalized patient has a potentially greater chance of surviving sudden cardiac arrest compared to pre-hospital conditions. This, however, requires proper preparation of medical personnel who should recognize and treat reversible causes of cardiac arrest. The authors make an atte...
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Towarzystwo Pomocy Doraźnej
2019-06-01
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doaj-934e7c8bd4a64935af0d419e257093232020-11-25T00:34:56ZengTowarzystwo Pomocy DoraźnejCritical Care Innovations2545-25332545-25332019-06-012291610.32114/CCI.2019.2.2.9.16Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departmentsTomasz Klejne 0https://orcid.org/0000-0003-1143-0586Akila Randika Jayamaha1https://orcid.org/0000-0002-3372-4537Department of Nursing and Emergency Medicine, Siedlce University of Natural Sciences and Humanities, Siedlce, PolandKaatsu International University, Battaramula, Colombo, Sri LankaINTRODUCTION: The hospitalized patient has a potentially greater chance of surviving sudden cardiac arrest compared to pre-hospital conditions. This, however, requires proper preparation of medical personnel who should recognize and treat reversible causes of cardiac arrest. The authors make an attempt to assess the state of knowledge of doctors, nurses and paramedics in the field of in-hospital resuscitation algorithm. MATERIAL AND METHODS: The study was conducted in 2018 among medical staff of hospitals in central Poland. To determine the relationship between variables, the Chi-square test and one-way Kruskal-Wallis variance analysis were used. The results were considered significant at p <0.05, and values of 0.05 < p <0.10 were considered significant only at the level of statistical tendency. RESULTS: Sixty people participated in the study (20 women and 40 men). The average work experience was 3.7 years (SD = 2.6). The leading places of work were: Hospital Emergency Department (50%), Internal Medicine Department (9%), Surgical Ward (8%), Intensive Care Unit (8%). The average test result for all respondents will reach 73.6% (doctors: 100%, paramedics: 74.6, nurses: 56%). There was no correlation between the result and the sex of patients (p = 0.622), workplace (p = 0.107), seniority (p = 0.063). There were significant differences between particular occupational groups (p = 0.01). CONCLUSIONS: The highest level of knowledge in hospital resuscitation is provided by doctors, and the lowest level of nursing staff. Adequate lifelong learning in the field of advanced life support for medical staff should be implemented in order to improve the quality of healthcare services provided to healthcare entities.https://www.irdim.net/cci/2(2)9-16.htmlintra-hospital circulatory arrestresuscitationmedical personneladvanced life suportals |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tomasz Klejne Akila Randika Jayamaha |
spellingShingle |
Tomasz Klejne Akila Randika Jayamaha Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments Critical Care Innovations intra-hospital circulatory arrest resuscitation medical personnel advanced life suport als |
author_facet |
Tomasz Klejne Akila Randika Jayamaha |
author_sort |
Tomasz Klejne |
title |
Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments |
title_short |
Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments |
title_full |
Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments |
title_fullStr |
Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments |
title_full_unstemmed |
Knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments |
title_sort |
knowledge of the in-hospital resuscitation algorithm among medical staff of selected hospital departments |
publisher |
Towarzystwo Pomocy Doraźnej |
series |
Critical Care Innovations |
issn |
2545-2533 2545-2533 |
publishDate |
2019-06-01 |
description |
INTRODUCTION: The hospitalized patient has a potentially greater chance of surviving sudden cardiac arrest compared to pre-hospital conditions. This, however, requires proper preparation of medical personnel who should recognize and treat reversible causes of cardiac arrest. The authors make an attempt to assess the state of knowledge of doctors, nurses and paramedics in the field of in-hospital resuscitation algorithm. MATERIAL AND METHODS: The study was conducted in 2018 among medical staff of hospitals in central Poland. To determine the relationship between variables, the Chi-square test and one-way Kruskal-Wallis variance analysis were used. The results were considered significant at p <0.05, and values of 0.05 < p <0.10 were considered significant only at the level of statistical tendency. RESULTS: Sixty people participated in the study (20 women and 40 men). The average work experience was 3.7 years (SD = 2.6). The leading places of work were: Hospital Emergency Department (50%), Internal Medicine Department (9%), Surgical Ward (8%), Intensive Care Unit (8%). The average test result for all respondents will reach 73.6% (doctors: 100%, paramedics: 74.6, nurses: 56%). There was no correlation between the result and the sex of patients (p = 0.622), workplace (p = 0.107), seniority (p = 0.063). There were significant differences between particular occupational groups (p = 0.01). CONCLUSIONS: The highest level of knowledge in hospital resuscitation is provided by doctors, and the lowest level of nursing staff. Adequate lifelong learning in the field of advanced life support for medical staff should be implemented in order to improve the quality of healthcare services provided to healthcare entities. |
topic |
intra-hospital circulatory arrest resuscitation medical personnel advanced life suport als |
url |
https://www.irdim.net/cci/2(2)9-16.html |
work_keys_str_mv |
AT tomaszklejne knowledgeoftheinhospitalresuscitationalgorithmamongmedicalstaffofselectedhospitaldepartments AT akilarandikajayamaha knowledgeoftheinhospitalresuscitationalgorithmamongmedicalstaffofselectedhospitaldepartments |
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