The research was influenced by the growing demand for psychosocial support interventions owing to disintegrating family and community support systems and ineffective management of psychosocial support resulting from the effects of COVID-19 pandemic. The study analysed risk management in the Eswatini psychosocial support program for orphan and vulnerable children from a project management perspective. A self-administered questionnaire was distributed in one region where psychosocial support problems were most prevalent. The survey attracted 109 responses from caregivers, who are the face of psychosocial support service in the communities. Twelve risk indicators were analysed representing manpower, material, machine, and methods risks. Research results show that all the twelve risk indicators had moderate to very high probability of happening and the same risks could pose high to critical impact if they occurred. Respondents felt that COVID-19 caused significant change to four of the assessed risks, low change to seven risks and no change to one. This implies that the high probability and high impact of the assessed risks impeded the provision of psychosocial support in the country. The proposed way forward includes the implementation of project risk management strategies. This could include implementing the proposed psychosocial support risk prioritisation model and gaining new knowledge and information through research. The use of a model recognises the dynamic nature of project risk management. Therefore, the authorities need to continuously review and monitor psychosocial management processes and accommodate emerging issues such as COVID-19. Management must aim to eliminate complacency in psychosocial support delivery processes.
| Published in | International Journal of Science, Technology and Society (Volume 10, Issue 5) |
| DOI | 10.11648/j.ijsts.20221005.11 |
| Page(s) | 166-175 |
| 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 |
Caregivers, Orphan and Vulnerable Children, Neighbourhood Care Points, Psychosocial Support, Risk Assessment, Risk Prioritisation Model
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APA Style
Happyson Bimha. (2022). Psychosocial Support Risk Prioritisation Model [PSSRPM] for Orphaned and Vulnerable Children: A Case of the Kingdom of Eswatini. International Journal of Science, Technology and Society, 10(5), 166-175. https://doi.org/10.11648/j.ijsts.20221005.11
ACS Style
Happyson Bimha. Psychosocial Support Risk Prioritisation Model [PSSRPM] for Orphaned and Vulnerable Children: A Case of the Kingdom of Eswatini. Int. J. Sci. Technol. Soc. 2022, 10(5), 166-175. doi: 10.11648/j.ijsts.20221005.11
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Download@article{10.11648/j.ijsts.20221005.11,
author = {Happyson Bimha},
title = {Psychosocial Support Risk Prioritisation Model [PSSRPM] for Orphaned and Vulnerable Children: A Case of the Kingdom of Eswatini},
journal = {International Journal of Science, Technology and Society},
volume = {10},
number = {5},
pages = {166-175},
doi = {10.11648/j.ijsts.20221005.11},
url = {https://doi.org/10.11648/j.ijsts.20221005.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsts.20221005.11},
abstract = {The research was influenced by the growing demand for psychosocial support interventions owing to disintegrating family and community support systems and ineffective management of psychosocial support resulting from the effects of COVID-19 pandemic. The study analysed risk management in the Eswatini psychosocial support program for orphan and vulnerable children from a project management perspective. A self-administered questionnaire was distributed in one region where psychosocial support problems were most prevalent. The survey attracted 109 responses from caregivers, who are the face of psychosocial support service in the communities. Twelve risk indicators were analysed representing manpower, material, machine, and methods risks. Research results show that all the twelve risk indicators had moderate to very high probability of happening and the same risks could pose high to critical impact if they occurred. Respondents felt that COVID-19 caused significant change to four of the assessed risks, low change to seven risks and no change to one. This implies that the high probability and high impact of the assessed risks impeded the provision of psychosocial support in the country. The proposed way forward includes the implementation of project risk management strategies. This could include implementing the proposed psychosocial support risk prioritisation model and gaining new knowledge and information through research. The use of a model recognises the dynamic nature of project risk management. Therefore, the authorities need to continuously review and monitor psychosocial management processes and accommodate emerging issues such as COVID-19. Management must aim to eliminate complacency in psychosocial support delivery processes.},
year = {2022}
}
TY - JOUR T1 - Psychosocial Support Risk Prioritisation Model [PSSRPM] for Orphaned and Vulnerable Children: A Case of the Kingdom of Eswatini AU - Happyson Bimha Y1 - 2022/09/28 PY - 2022 N1 - https://doi.org/10.11648/j.ijsts.20221005.11 DO - 10.11648/j.ijsts.20221005.11 T2 - International Journal of Science, Technology and Society JF - International Journal of Science, Technology and Society JO - International Journal of Science, Technology and Society SP - 166 EP - 175 PB - Science Publishing Group SN - 2330-7420 UR - https://doi.org/10.11648/j.ijsts.20221005.11 AB - The research was influenced by the growing demand for psychosocial support interventions owing to disintegrating family and community support systems and ineffective management of psychosocial support resulting from the effects of COVID-19 pandemic. The study analysed risk management in the Eswatini psychosocial support program for orphan and vulnerable children from a project management perspective. A self-administered questionnaire was distributed in one region where psychosocial support problems were most prevalent. The survey attracted 109 responses from caregivers, who are the face of psychosocial support service in the communities. Twelve risk indicators were analysed representing manpower, material, machine, and methods risks. Research results show that all the twelve risk indicators had moderate to very high probability of happening and the same risks could pose high to critical impact if they occurred. Respondents felt that COVID-19 caused significant change to four of the assessed risks, low change to seven risks and no change to one. This implies that the high probability and high impact of the assessed risks impeded the provision of psychosocial support in the country. The proposed way forward includes the implementation of project risk management strategies. This could include implementing the proposed psychosocial support risk prioritisation model and gaining new knowledge and information through research. The use of a model recognises the dynamic nature of project risk management. Therefore, the authorities need to continuously review and monitor psychosocial management processes and accommodate emerging issues such as COVID-19. Management must aim to eliminate complacency in psychosocial support delivery processes. VL - 10 IS - 5 ER -
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