Self-efficacy and new technology adoption and use among trainee mid-wives in Ijebu-Ode, Nigeria
Technology has impacted positively on health care delivery and particularly medical personnel have had to embrace emerging technologies in order to provide safe, competent and quality health care. The study investigated self-efficacy for new technology adoption and use by trainee midwives at the school of midwifery, Ijebu-Ode. The study is a survey based on the ex post facto type. Total enumeration technique was used to capture Seventy (70) trainee midwives using a questionnaire. All questionnaire administered were returned and found useful for the study. The study revealed that the level of self-efficacy for new technology adoption by the trainee midwives was high however social media 40(57.1 %), text messaging 36 (51.4 %), downloading of articles, music and videos 30(42.9 %) were the most frequently used technologies either daily or several times weekly. Only 6 (8.6 %) use the internet for information search daily. PowerPoint software, spreadsheet, Blogs, skype, podcasts, audio creation software etc. were less frequently used. Though the perceived level of new technology adoption was high, self-efficacy for new technology adoption was not significantly related to use of the technologies, also level of technology adoption has no correlation with level of use. The paper concludes that trainee midwives may not be capable of adequately providing technology based maternity and reproductive health services after training. The study thus recommends review of the midwifery curriculum, internet access, retraining of tutors and increased exposure/ awareness to emerging technologies.
KeywordsSelf efficacy New technology adoption Technology use Trainee midwives Nigeria
- Adjuwon, G. (2003). Computer and internet use by first year clinical and nursing students in a Nigerian teaching hospital. BMC Medical Informatics and Decision Making, 3(10), 1–7.Google Scholar
- Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of Information technology. Information system research, 9(2), 204–215.Google Scholar
- Bandura, A. (1997). Self-efficacy: the exercise of control (p. 604). New York: WH Freeman.Google Scholar
- Buhari, S., Ahmad, G., & HadiAshara, B. (2014). Use of Social media among students of Nigerian Polytechnic. Being a paper presented at the International Conference on Communication, Media, Technology and Design. Held between 24-26 April, Istanbul-Turkey.Google Scholar
- Crozier, K., Sinclair, M., Kernohan, W., & Porter, S. (2007). Ethnography of technological competence in clinical midwifery practice. Evidence Based Midwifery, 5(2), 59–65.Google Scholar
- Ejechi, E. (2016). Information communication technology: Are Nigeria’s university students using it more for social and leisure activities? International Journal of Humanities and Social Science, 6(5), 67–73.Google Scholar
- Gupta, B., & Adarsh, B. (2009). Perceptions of health professionals regarding use and provision of LIS through mobile technologies. Journal of Library & Information Technology, 30(3), 7–12.Google Scholar
- Hamer, S. (2013). Involving nurses in developing new technology. Nursing Times, 109(47), 18–19.Google Scholar
- Hegney, Buikstra, Eley, Fallon, Gilmore, & Soar. (2007). Nurses and Information technology. Commonwealth of Australia. Available at http://anmf.org.au/documents/reports/IT_Project.pdf.
- International Confederation of Midwives (2005) accessed 17th March 2015 from http://www.internationalmidwives.org/who-we-are/policy-and-practice/icm-international-definition-of-the-midwife/.
- Isiaka, R., Olayemi, R., & Adewole, K. (2011). Implementing mobile-learning in Nigeria tertiary educational system – a feasibility study. International Journal of Science and Advanced Technology, 1(7), 84–90.Google Scholar
- Koivunen, M. (2009) Acceptance and use of information technology among nurses in psychiatric Hospitals. Being a PhD thesis submitted to department of Nursing Science University of Turku Turku, Finland.Google Scholar
- Lam, M., Nguyen, M., Lowe, R., Nagajan, S., & Lincoln, M. (2014). I can do it: does confidence and perceived ability in learning new ICT skills predict pre-service health professionals’ attitude towards engaging in e-healthcare? Investing in E-Health: People, Knowledge and Technology for a Healthy Future, 204, 60–66.Google Scholar
- Mohagheghzadeh, M., Mortazavi, S., Ghasempour, M., & Jarideh, S. (2014). The impact of computer and information communication technology literacy on the academic achievement of medical and dental Students at shiraz university of Medical sciences. European Scientific Journal, 10(9), 273–280.Google Scholar
- Mojaye, E. (2015). Mobile phone usage among Nigerian University students and its impact on teaching and learning. Global Journal of Arts Humanities and Social Sciences, 3(1), 29–38.Google Scholar
- Nelson. (1992). Direct and indirect effects in linear structural equation models. Sociological Methods and Research, 16(1), 155–176.Google Scholar
- Obilinger, D., & Obilinger, J. (Eds) (2005) Educating the net generation. EDUCAUSE Retrieved 20 April 2011-from http://www.educause.edu/educatingthenetgen/.
- Ogedebe, P., Emannuel, J., & Musa, Y. (2012). A survey of facebook and academic performance in Nigeria Universities. International Journal of Engineering Research and Applications, 2(4), 788–797.Google Scholar
- Ormsod, J.E. (2006) Educational psychology: developing learners. New Jesey.Google Scholar
- Pajares, F. (1997). Current directions in self-efficacy research. In M Maehr & PR. Pintrich (eds) Advances in motivation and achievement. Vol. 10:1–49. Greenwich: SAI Press Retrieved 15th May 2009 from http://www.emory.edu/EDUCATION/mfp/effchapter.html.
- Ramayah, T., & Bushra, A. (2004). Role of Self-efficacy in e-library usage among students of a Public University in Malaysia. Malaysian Journal of Library and Information Science, 9(1), 39–57. Retrieved 16th May, 2008 from http://ejum.fsktm.um/edu.my/articleinformation.aspx.Google Scholar
- Schunk, D. (1994). Self-regulation of self-efficacy and attributions in academic settings. In D. H. Schunk & B. J. Zimmerman (Eds.), Self regulation of learning and performance: issues and educational applications (pp. 75–99). New Jersey: Lawrence Erbalum.Google Scholar
- Sun, H., & Zhang, P. (2003). A new perspective to analyze user technology acceptance, Working Paper, Syracuse University.Google Scholar
- Sweis, R., Isa, A., Azzeh, H., Shtyh, B., Musa, E., & AlBtoush, R. (2014). Nurses’ resistance to the adoption of information technology in Jordanian hospitals. Life Science Journal, 11(4s), 8–18.Google Scholar
- Ward, R., Moule, P., & Lockyer, L. (2009). Adoption of web 2.0 technologies in education for health professionals in the UK: where are we and why? Electronic Journal of e-Learning, 7(2), 165–172.Google Scholar
- Zimund. (1991). An empirical investigation of student acceptance of course web sites. Computers and Education, 40, 343–360.Google Scholar