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Submission Number: 23
Submission ID: 764
Submission UUID: 101b8764-9c69-4ef4-a3f6-1786b8e94522
Submission URI: /2025/abstracts

Created: Thu, 04/03/2025 - 22:44
Completed: Thu, 04/03/2025 - 22:56
Changed: Tue, 04/22/2025 - 03:30

Remote IP address: 105.119.19.248
Submitted by: Anonymous
Language: English

Is draft: No
Current page: Complete
Webform: Abstract
Presenters
Dr.
Yusuf
Mohammed sanusi
08035593217
University of ilorin
Mohammed Sanusi Yusuf, (PhD) is a lecturer in the Department of Social Work, Faculty of Social Sciences, University of Ilorin, Nigeria. He is currently the examination officer of the Department. Dr. Yusuf is also the International Programming Officer of African Refugees and Migrants Aid, a Non-Governmental Organization based in Port Elizabeth, South Africa. He teaches research methodology, Social Work and HIV/AIDS, Death, Loss and Rehabilitation, introduction to Social Welfare and Mental Health. His area of interest includes medical social work, mental health, and Refugee studies. He has 23 publications in both national and international reputable outlets.
No
Abstract
Assessment of technology based intervention among social workers in selected public health facilities in Nigeria
THEME 6: Main-streaming Digital and Assessment Tools in Social Work Practice
SUB 6.1 Integrating digital tools into traditional social work settings.
Oral Presentation
Technological advancement has not only positively impacted various human activities but also changed traditional face-to-face social work practices to digital interventions, especially in developed countries. This technology will help enhance clients' engagement, assessment, and empowerment. Despite this advancement, social work practice is still at a crude level in Nigeria. Hence, this study seeks to assess the level of technology-based intervention among social workers in selected public health facilities in Nigeria in South West Nigeria. A quantitative design will be used to gather information from respondents in the health facilities. Purposive and stratified sampling techniques will select 240 social workers from these facilities. Information gathered from the social workers will be gathered using descriptive and inferential statistics. Specifically, descriptive statistics will be used to describe the socio-demographic characteristics, while logistic regression will be employed to test technology's impact on intervention. The finding is expected to reveal the level of technology-based intervention among social workers in the selected public health facilities. Recommendations will be made to encourage the adoption of technology-based intervention among social workers in public health facilities in Nigeria.
Keywords: Technology, Social Worker, Intervention, Health, Nigeria
Reviewer ONE Feedback
Dr
Luce
Pretorius
Yes
Empirical Research
Accepted
Reviewer TWO Feedback
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Pending Review