Background: Patients treated in specialized stroke care units and received discharge education are reported to have better medication adherence and reduced risk of stroke recurrence. Comprehensive stroke care necessitates specialized stroke nurses to provide evidence-based stroke care and education. Methods: The Virtual Stroke Nurse Certification Course by SINN-ECHO collaboration was to train and certify nurses working in the neurology- stroke area to improve quality of care. The course curriculum includes nine modules, case presentations, procedure demonstrations, videos, care pathways, care plans, and extensive discussions. The mean pre-test and post-test scores difference was calculated, and ‘t’ test was done for statistical significance. The score difference of more than or three defined as improved knowledge as a result of participation in the course. Chi2 test was done to find out the association between knowledge improvement and basic characteristics of the participants. Results: Recruited 30 participants 74.1% females. The mean age of participants was 37.89±9.04 years and the mean years of experience were 14.80 (9.50) years. The mean years of experience in the neurology or stroke unit was 7.5 (8.02) years. The mean post-test score 19.3 (3.37) was significantly higher (p<0.001) compared to pre-test score 16.33 (3.1). Around 60% of the participants have a score difference of more than three between pre-test and post-test. More than 90% of participants agreed that their objectives for participation in the course were met, and it improved their knowledge. The Virtual platform provided by ECHO reduced the feeling of professional isolation of more than 70% of the participants. More than 80% of the participant expressed that they would recommend this course to their colleagues. Conclusion: Implementation of Virtual Stroke Nurses Certification Course through ECHO model was proven to effectively improve participants’ confidence and competency in stroke care.
| Published in | American Journal of Nursing and Health Sciences (Volume 3, Issue 3) |
| DOI | 10.11648/j.ajnhs.20220303.14 |
| Page(s) | 67-72 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2022. Published by Science Publishing Group |
Stroke Nurse, Virtual, SINN-ECHO, Stroke Nurse Certification, Online Training, Stroke Outcome
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APA Style
Shani SD, Angela Gnanadurai, Saramma PP, Laisa Kumar, Anila Goswami, et al. (2022). Development and Implementation of Virtual Stroke Nurse Certification: SINN-ECHO Model for Low and Middle Income Countries. American Journal of Nursing and Health Sciences, 3(3), 67-72. https://doi.org/10.11648/j.ajnhs.20220303.14
ACS Style
Shani SD; Angela Gnanadurai; Saramma PP; Laisa Kumar; Anila Goswami, et al. Development and Implementation of Virtual Stroke Nurse Certification: SINN-ECHO Model for Low and Middle Income Countries. Am. J. Nurs. Health Sci. 2022, 3(3), 67-72. doi: 10.11648/j.ajnhs.20220303.14
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Download@article{10.11648/j.ajnhs.20220303.14,
author = {Shani SD and Angela Gnanadurai and Saramma PP and Laisa Kumar and Anila Goswami and Rebecca Sumathibai and Manju Dhandapani},
title = {Development and Implementation of Virtual Stroke Nurse Certification: SINN-ECHO Model for Low and Middle Income Countries},
journal = {American Journal of Nursing and Health Sciences},
volume = {3},
number = {3},
pages = {67-72},
doi = {10.11648/j.ajnhs.20220303.14},
url = {https://doi.org/10.11648/j.ajnhs.20220303.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajnhs.20220303.14},
abstract = {Background: Patients treated in specialized stroke care units and received discharge education are reported to have better medication adherence and reduced risk of stroke recurrence. Comprehensive stroke care necessitates specialized stroke nurses to provide evidence-based stroke care and education. Methods: The Virtual Stroke Nurse Certification Course by SINN-ECHO collaboration was to train and certify nurses working in the neurology- stroke area to improve quality of care. The course curriculum includes nine modules, case presentations, procedure demonstrations, videos, care pathways, care plans, and extensive discussions. The mean pre-test and post-test scores difference was calculated, and ‘t’ test was done for statistical significance. The score difference of more than or three defined as improved knowledge as a result of participation in the course. Chi2 test was done to find out the association between knowledge improvement and basic characteristics of the participants. Results: Recruited 30 participants 74.1% females. The mean age of participants was 37.89±9.04 years and the mean years of experience were 14.80 (9.50) years. The mean years of experience in the neurology or stroke unit was 7.5 (8.02) years. The mean post-test score 19.3 (3.37) was significantly higher (pConclusion: Implementation of Virtual Stroke Nurses Certification Course through ECHO model was proven to effectively improve participants’ confidence and competency in stroke care.},
year = {2022}
}
TY - JOUR T1 - Development and Implementation of Virtual Stroke Nurse Certification: SINN-ECHO Model for Low and Middle Income Countries AU - Shani SD AU - Angela Gnanadurai AU - Saramma PP AU - Laisa Kumar AU - Anila Goswami AU - Rebecca Sumathibai AU - Manju Dhandapani Y1 - 2022/09/27 PY - 2022 N1 - https://doi.org/10.11648/j.ajnhs.20220303.14 DO - 10.11648/j.ajnhs.20220303.14 T2 - American Journal of Nursing and Health Sciences JF - American Journal of Nursing and Health Sciences JO - American Journal of Nursing and Health Sciences SP - 67 EP - 72 PB - Science Publishing Group SN - 2994-7227 UR - https://doi.org/10.11648/j.ajnhs.20220303.14 AB - Background: Patients treated in specialized stroke care units and received discharge education are reported to have better medication adherence and reduced risk of stroke recurrence. Comprehensive stroke care necessitates specialized stroke nurses to provide evidence-based stroke care and education. Methods: The Virtual Stroke Nurse Certification Course by SINN-ECHO collaboration was to train and certify nurses working in the neurology- stroke area to improve quality of care. The course curriculum includes nine modules, case presentations, procedure demonstrations, videos, care pathways, care plans, and extensive discussions. The mean pre-test and post-test scores difference was calculated, and ‘t’ test was done for statistical significance. The score difference of more than or three defined as improved knowledge as a result of participation in the course. Chi2 test was done to find out the association between knowledge improvement and basic characteristics of the participants. Results: Recruited 30 participants 74.1% females. The mean age of participants was 37.89±9.04 years and the mean years of experience were 14.80 (9.50) years. The mean years of experience in the neurology or stroke unit was 7.5 (8.02) years. The mean post-test score 19.3 (3.37) was significantly higher (pConclusion: Implementation of Virtual Stroke Nurses Certification Course through ECHO model was proven to effectively improve participants’ confidence and competency in stroke care. VL - 3 IS - 3 ER -
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