Identification of Social Support and Knowledge of Covid-19 Survivors with Structural Equation Modeling in R
Keywords:covid-19 survivors, healing action, knowledge, social support, structural equation modelling
COVID-19 cases in Indonesia have finally reached a second peak amounting to 4 million cases. A number of the death rate was 3.4 percent, yet the recovery rate was 95.9 percent. The Health Ministry of Republic Indonesia through the Covid-19 Task Force has issued guidelines for preventing and controlling Covid-19 to decrease the death rate and increase the recovery rate. According to the guidelines, a person who undergoes quarantine needs to be provided with health care, and social and psychosocial support. This study seeks to identify the influence of external factors including social support, as well as internal factors including patient motivation, and knowledge on the recovery rate of Covid-19 survivors. The research methods use Structural Equation Modelling to determine the indicators that have the most significant influence on the latent variables of social support, knowledge, and motivation for healing Covid-19. Primary data collection was carried out online with a sample of 176 Covid-19 survivors across Indonesia in August 2021. The methods of the Shapiro-Wilk test for normal multivariate show the p-value at 0.00 significantly satisfies the assumption. The result shows that social support has a significant effect on knowledge with a regression coefficient is 0.263. Knowledge has a regression coefficient is 0.645 for the Healing of Covid-19. In conclusion, the higher social support provided by the patient's external parties: family, surrounding environment, and public health center officers, will impact the higher patient's knowledge and healing of Covid-19 disease. Meanwhile, social support has no significant effect on healing actions.
Brooks, S.K., Webster, R.K., Smith, L.E., Woodland, L., Wessely, S., Greenberg, N., Rubin, G.J., 2020. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. The lancet 395, 912â€“920.
Ghozali, I., Fuad, 2008. Structural equation modeling: Teori, konsep, dan aplikasi dengan program Lisrel 8.80. Badan Penerbit Universitas Diponegoro.
Hair, J.F., 2009. Multivariate data analysis.
HÃ¤rdle, W.K., Simar, L., 2019. Applied multivariate statistical analysis. Springer.
Johnson, R.A., Wichern, D.W., 2014. Applied multivariate statistical analysis. Pearson London, UK:
Kemenkes RI, 2020. Pedoman Pencegahan dan Pengendalian COVID-19. Jakarta.
Lockyer, S., 2020. Effects of diets, foods and nutrients on immunity: Implications for COVIDâ€19? Nutrition Bulletin 45, 456â€“473.
Maslow, A.H., 1994. Motivasi dan Kepribadian: Teori Dengan Pendekatan Hierarkhi Kebutuhan Manusia. Pressindo, Jakarta.
Mertens, G., Duijndam, S., Smeets, T., Lodder, P., 2021. The latent and item structure of COVID-19 fear: A comparison of four COVID-19 fear questionnaires using SEM and network analyses. Journal of Anxiety Disorders 81, 102415.
Notoatmodjo, S., 2003. Pendidikan dan Perilaku Kesehatan, Rineka Cipta. Jakarta, halaman 114â€“131.
Olivia, S., Gibson, J., Nasrudin, R., 2020. Indonesia in the Time of Covid-19. Bulletin of Indonesian Economic Studies 56, 143â€“174. https://doi.org/10.1080/00074918.2020.1798581
Sari, L.T., 2019. Hubungan motivasi kesembuhan dengan kepatuhan minum obat pada penderita TB paru dewasa. JuKe (Jurnal Kesehatan) 3.
Scheaffer, R.L., Mendenhall III, W., Ott, R.L., Gerow, K.G., 2011. Elementary survey sampling. Cengage Learning.
Sudarma, M., 2008. Sosiologi untuk kesehatan. Jakarta: Salemba Medika 30â€“32.
Szkody, E., Stearns, M., Stanhope, L., McKinney, C., 2020. Stressâ€Buffering Role of Social Support during COVIDâ€19. Family process.
Tao, Z., Xu, J., Chen, W., Yang, Z., Xu, X., Liu, L., Chen, R., Xie, J., Liu, M., Wu, J., 2021. Anemia is associated with severe illness in COVIDâ€19: a retrospective cohort study. Journal of medical virology 93, 1478â€“1488.