Increasing the Knowledge of Mental Health of Young Adults through Video-Assisted Education: A Pilot Study in Surabaya

Safira Nur Izzah; Rakha Achmad Maulana; Dimas Setyanto; Ludy Diana Wiradhika; Annette d'Arqom

doi:10.22146/jpkm.68067

Increasing the Knowledge of Mental Health of Young Adults through Video-Assisted Education: A Pilot Study in Surabaya

https://doi.org/10.22146/jpkm.68067

Safira Nur Izzah⁽¹⁾, Rakha Achmad Maulana⁽²⁾, Dimas Setyanto⁽³⁾, Ludy Diana Wiradhika⁽⁴⁾, Annette d'Arqom^(5*)

(1) Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
(2) Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
(3) Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
(4) Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
(5) Division of Pharmacology, Department of Anatomy, Histology and Pharmacology, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia
(*) Corresponding Author

Abstract

Background: Young adults (<25 years old), a 49% proportion of the Indonesian population, is one crucial component that might determine the future of the nation and achieve Indonesia Emas or Golden Indonesia in 2045. Anxiety is one of the effects of the COVID-19 Pandemic, as one out of five Indonesian people could have suffered from anxiety, especially young adult women. This activity would like to measure the effectiveness of video-assisted learning regarding mental health education during the Pandemic among young adults. Methods: Video regarding mental health during the COVID-19 Pandemic was given to 35 young adults (18-25 years old) in Surabaya City using the zoom application. The pre-test and post-test consist of 10 questions and given before and after the video. The data was further analyzed descriptively and analytically using GARPH PRISM 5.00. Result: Increasing knowledge after video-assisted learning was observed, as there was an increasing number of respondents who had good knowledge regarding mental health during the COVID-19 Pandemic, from 22.9% to 45.7%. The data were further analyzed using a paired t-test to find the mean difference between the pre-test and post-test knowledge scores, both mean±SD (64.28±14.80 and 73.42±19.70, p<0.001, respectively). The effect of respondents’ backgrounds on the score was analyzed using a two-way ANOVA test. There was a significant difference between knowledge and their field of study (p<0.05), but not for the age, sex, and visiting online supporting group website. Conclusion: The video-assisted education effectively increased knowledge regarding mental health during the COVID-19 Pandemic among young adults in Surabaya. However, broader respondents are necessary before large implementation in the community.

Keywords

Knowledge; Mental health; Video-assisted; Young adults

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References

AHK Indonesien. (2022). Covid-19 developments in Indonesia. Retrieved July 25, 2021, from https://indonesien.ahk.de/id/infocenter/berita/berita/COVID-19-developments-in-indonesia

Anindyajati, G., Wiguna, T., Murtani, B. J., Christian, H., Wigantara, N. A., Putra, A. A., Hanafi, E., Minayati, K., Ismail, R. I., Kaligis, F., Savitri, A. I., Uiterwaal, C. S. P. M., & Diatri, H. (2021). Anxiety and its associated factors during the initial phase of the COVID-19 pandemic in Indonesia. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.634585

Arjadi, R., Nauta, M. H., Scholte, W. F., Hollon, S. D., Chowdhary, N., Suryani, A. O., & Bockting, C.
L. H. (2016). Guided act and feel Indonesia (GAF-ID) – internet-based behavioral activation intervention for depression in Indonesia: study protocol for a randomized controlled trial. Trials, 17(1), 455. https://doi.org/10.1186/s13063-016-1577-9

Badan Pusat Statistik. (2018). Statistik pemuda Indonesia 2018. https://www.bps.go.id/publication/2018/12/21/572f941511d090083dd742d6/statistik-pemuda-indonesia-2018.html

Baraputri, B. V. (2021). Dying alone in Indonesia’s grim battle with Covid-19. BBC News Indonesia. Retrieved July 25, 2021, from https://www.bbc.com/news/world-asia-57830770

Barik, A. L., Purwaningtyas, R. A., & Astuti, D. (2019). The effectiveness of traditional media (leaflet and poster) to promote health in a community setting in the digital era: A systematic review. Jurnal Ners, 14(3), 76-80. https://e-journal.unair.ac.id/JNERS/article/view/16988

CDC. (2020). Centers for disease control and prevention. Retrieved July 25, 2021, from https://www.cdc.gov/mentalhealth/index.htm

Chuzaifah, C., Sulistyorini, S., & Awalya, A. (2021). The effectiveness of the learning video assisted discovery learning on science learning outcomes and independent characters of students. Journal of Primary Education, 10(4). https://doi.org/10.15294/JPE.V10I4.48187

d’Arqom, A., Sawitri, B., Nasution, Z., & Lazuardi, R. (2021). "Anti-covid-19" medications, supplements, and mental health status in Indonesian mothers with school-age children. International Journal Women’s Health, 13, 699-709. https://doi.org/10.2147/ijwh.s316417

d’Arqom, A., Sawitri, B., Nasution, Z., Setyanto, D., Izzah, S. N., Wiradhika, L. D., & Maulana, R. A. (2020). Development of online mental health supporting group to reduce mental burden during covid-19 pandemic. Jurnal Layanan Masyarakat (Journal of Public Services), 4(2), 251-258. https://doi.org/10.20473/jlm.v4i2.2020.251-258

Dawood, F. S., Ricks, P., Njie, G. J., Daugherty, M., Davis, W., Fuller, J. A., Winstead, A., McCarron, M., Scott, L. C., Chen, D., Blain, A. E., Moolenaar, R., Li, C., Popoola, A., Jones, C., Anantharam, P., Olson, N., Marston, B. J., & Bennett, S. D. (2020). Observations of the global
epidemiology of covid-19 from the prepandemic period using web-based surveillance: a cross-sectional analysis. The Lancet Infectious Diseases, 20(11), 1255-1262. https://doi.org/10.1016/S1473-3099(20)30581-8

Depellegrin, D., Bastianini, M., Fadini, A., & Menegon, S. (2020). The effects of covid-19 induced lockdown measures on maritime settings of a coastal region. Sci Total Environ, 740, 140123. https://doi.org/10.1016/j.scitotenv.2020.140123

Dhawan, S. (2020). Online learning: A panacea in the time of covid-19 crisis. Journal of Educational Technology Systems, 49(1), 5-22. https://doi.org/10.1177/0047239520934018

Djalante, R., Lassa, J., Setiamarga, D., Sudjatma, A., Indrawan, M., Haryanto, B., Mahfud, C., Sinapoy, M. S., Djalante, S., Rafliana, I., Gunawan, L. A., Surtiari, G. A. K., & Warsilah, H. (2020). Review and analysis of current responses to covid-19 in Indonesia: Period of January to March 2020. Progress in Disaster Science, 6, 100091. https://doi.org/https://doi.org/10.1016/j.pdisas.2020.100091

Dyer, O. (2021). Covid-19: Indonesia becomes Asia’s new pandemic epicentre as delta variant spreads. BMJ, 374, n1815. https://doi.org/10.1136/bmj.n1815

Hartini, N., Fardana, N. A., Ariana, A. D., & Wardana, N. D. (2018). Stigma toward people with mental health problems in Indonesia. Psychology Research and Behavior Management, 11, 535-541. https://doi.org/10.2147/prbm.S175251

Hasanica, N., Ramic-Catak, A., Mujezinovic, A., Begagic, S., Galijasevic, K., & Oruc, M. (2020). The effectiveness of leaflets and posters as a health education method. Materia Socio Medica, 32(2), 135-139. https://doi.org/10.5455/msm.2020.32.135-139

IASC. (2020). Addressing mental health and psychosocial aspects of covid-19 outbreak. https://interagencystandingcommittee.org/system/files/2021-03/IASC%20Interim%20Briefing%20Note%20on%20COVID-19%20Outbreak%20Readiness%20and%20Response%20Operations%20-%20MHPSS.pdf

Jafar, A. F., Rusli, R., Dinar, M., Irwan, I., & Hastuty, H. (2020). The effectiveness of video-assisted flipped classroom learning model implementation in integral calculus. Journal of Applied Science, Engineering, Technology, and Education, 2(1), 97-103. https://doi.org/10.35877/454RI.asci2144

Kaushal, K. (2016). Response shift bias in pre- and post-test studies. Indian J Dermatol, 61(1), 91. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763705/

Kontoangelos, K., Economou, M., & Papageorgiou, C. (2020). Mental health effects of covid-19 pandemia: A review of clinical and psychological traits. Psychiatry Investig, 17(6), 491-505. https://doi.org/10.30773/pi.2020.0161

Kumar, A., & Somani, A. (2020). Dealing with corona virus anxiety and OCD. Asian Journal of Psychiatry, 51, 102053. https://doi.org/10.1016/j.ajp.2020.102053

Leidman, E., Duca, L. M., Omura, J. D., Proia, K., Stephens, J. W., & Sauber-Schatz, E. K. (2021). Covid-19 trends among persons aged 0-24 years - united states, March 1-December 12, 2020. MMWR. Morbidity and Mortality Weekly Report, 70(3), 88-94. https://doi.org/10.15585/mmwr.mm7003e1

Maduretno, T. W., Aziz, A. T., & Fajri, L. (2017). The effect of video-assisted inquiry modified learning model on student’s achievement on 1st fundamental physics practice. International Journal of Science and Applied Science: Conference Series, 2(1), 403. https://doi.org/10.20961/ijsascs.v2i1.16756

McNab, M., & Skapetis, T. (2019). Why video health education messages should be considered for all dental waiting rooms. PLoS One, 14(7), e0219506. https://doi.org/10.1371/journal.pone.0219506

Megatsari, H., Laksono, A. D., Ibad, M., Herwanto, Y. T., Sarweni, K. P., Geno, R. A. P., & Nugraheni, E. (2020). The community psychosocial burden during the covid-19 pandemic in Indonesia. Heliyon, 6(10), e05136. https://doi.org/https://doi.org/10.1016/j.heliyon.2020.e05136

Nongmeikapam, M., Sarala, N., Reddy, M., & Ravishankar, S. (2019). Video-assisted teaching versus traditional didactic lecture in undergraduate psychiatry teaching. Indian Journal of Psychiatry, 61(4), 376-379. https://doi.org/10.4103/psychiatry.IndianJPsychiatry_265_18

Pandey, D., Bansal, S., Goyal, S., Garg, A., Sethi, N., Pothiyill, D. I., Sreelakshmi, E. S., Sayyad, M. G., & Sethi, R. (2020). Psychological impact of mass quarantine on population during pandemics-the covid-19 lock-down (COLD) study. PLoS One, 15(10), e0240501. https://doi.org/10.1371/journal.pone.0240501

Peter, P., & Sadan, V. (2018). Video teaching on screening of mental illnesses: A pilot study. Indian Journal of Social Psychiatry, 34(2), 152–156. https://www.indjsp.org/temp/IndianJSocPsychiatry342152-3767671_010247.pdf

Pfefferbaum, B., & North, C. S. (2020). Mental health and the covid-19 pandemic. New England Journal of Medicine, 383(6), 510-512. https://doi.org/10.1056/NEJMp2008017

Purborini, N., Lee, M.-B., Devi, H. M., & Chang, H.-J. (2021). Associated factors of depression among young adults in Indonesia: A population-based longitudinal study. Journal of the Formosan Medical Association, 120(7), 1434-1443. https://doi.org/https://doi.org/10.1016/j.jfma.2021.01.016

Richardson, J. T. E., & Woodley, A. (2003). Another look at the role of age, gender and subject as predictors of academic attainment in higher education. Studies in Higher Education, 28(4), 475-493. https://doi.org/10.1080/0307507032000122305

Simonds, T. A., & Brock, B. L. (2014). Relationship between age, experience, and student preference for types of learning activities in online courses. Journal of Educators Online, 11(1). https://doi.org/10.9743/JEO.2014.1.3

Singh, S., Roy, D., Sinha, K., Parveen, S., Sharma, G., & Joshi, G. (2020). Impact of covid-19 and lockdown on mental health of children and adolescents: A narrative review with recommendations. Psychiatry Research, 293, 113429. https://doi.org/10.1016/j.psychres.2020.113429

Yaqinuddin, A., Kashir, J., AlKattan, W., & AlKattan, K. (2020). Applying integrated video assisted learning approaches for medical clerkship – potential adaptations in the post-covid-19 era. Journal of Medical Education and Curricular Development, 7, 2382120520963043. https://doi.org/10.1177/2382120520963043

Yu, Z. (2021). The effects of gender, educational level, and personality on online learning outcomes during the covid-19 pandemic. International Journal of Educational Technology in Higher Education, 18(1), 14. https://doi.org/10.1186/s41239-021-00252-3

DOI: https://doi.org/10.22146/jpkm.68067