Rational Model-Based Training Retain the Health Cadres’ Knowledge, Attitudes and Practices on Stroke Issue

Main Article Content

Husniyatur Rizqiyah Dhomiri1, Karyono Mintaroem2 , Setyoadi3

Abstract

Stroke is a medical emergency that the patients of it ideally should have received stroke management ?3


hours since the attack. Emergency situations can occur at anytime, thus the health cadres participation in


minimizing pre-hospital delay through FAST method is needed. In order to make the cadres have knowledge,


positive attitudes, and good practices about FAST, the rational model-based training was conducted. The aim


of this study was to analyze the effectiveness of rational model-based training on the health cadres’ changes


on knowledge, attitudes, and practices in the stroke symptoms detection using FAST. This study used quasi


experimental research design through pretest-posttest control group design. 50 respondents were divided


into intervention and control groups. Data analysis used independent sample t-test and mann whitney test.


The results show that there were differences in attitude and practices changes between the intervention and


the control groups after training, with p values 0.009 and 0.000. There was no any difference in the retention


of knowledge, attitudes, and practices in both groups, the p value was 0.849; 0.626;0.456.

Article Details

How to Cite
Rational Model-Based Training Retain the Health Cadres’ Knowledge, Attitudes and Practices on Stroke Issue. (2020). International Journal of Nursing Education, 12(3), 78-83. https://doi.org/10.37506/ijone.v12i3.9726
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Articles
Author Biography

Husniyatur Rizqiyah Dhomiri1, Karyono Mintaroem2 , Setyoadi3

1Master Program of Nursing, 2Departmen of Parasitology, 3Department of Nursing,

Faculty of Medicine, University of Brawijaya

How to Cite

Rational Model-Based Training Retain the Health Cadres’ Knowledge, Attitudes and Practices on Stroke Issue. (2020). International Journal of Nursing Education, 12(3), 78-83. https://doi.org/10.37506/ijone.v12i3.9726