Compliance Analysis For The Use Of Covid-19 Personal Protective Equipment (PPE) Based On The Theory Of Planned Behavior On Health Workers
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Abstract
Background: One way to prevent the spread of the Covid-19 virus to health workers is to adhere to the use of personal protective equipment. Increased compliance by health workers will increase awareness of the dangers of Covid-19 infection.
Methods: Use a cross-sectional approach to design and conduct a descriptive analysis of the research. The population of all health workers at the Usada Buana Inpatient Main Clinic Surabaya, with a sample of 102, was determined by a proportional random sampling technique. Structural Model Analysis (SEM-PLS) with significance T Value > 1.64, with steps: designing a measurement model (outer model), designing a structural model (inner model), constructing a path diagram, converting a path diagram to a system of equations, estimating path coefficient, loading, and weight, evaluating the goodness of fit, and hypothesis testing.
Results: The results showed that 48% of the excessive or low intentions of health workers in the use of COVID-19 PPE can very well be explained by attitudes (X1), subjective norms (X2), and perceptions of behavioral control (X3). In the meantime, 65.1% of the excessive or low adherence to COVID-19 PPE in medical examiners can be defined with the aid of the version used in this study (the model idea of deliberate conduct), and other variables outside this study version explain the rest (34.1%).
Conclusion: Attitudes, subjective norms, and perceived behavioral controls can affect compliance with PPE use through intention mediation. Further studies are also endorsed to behavior research on the layout of instructional interventions based totally on the Theory of planned conduct in enhancing medical experts' compliance with adherence to PPE.
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References
Addisu, Y., Birhanu, Z., Tilahun, D., & Assefa, T. (2014). Predictors of treatment seeking intention among people with cough in East Wollega, Ethiopia based on the theory of planned behavior: a community based cross-sectional study. Ethiopian Journal of Health Sciences, 24(2), 131–138.
Adiutama, N. M., Amin, M., & Bakar, A. (2018). An Evaluation of Medication Adherence in Tuberculosis Patients Based on Theory of Planned Behavior. Proceedings of the 9th International Nursing Conference, IX, 428–434. Surabaya: SCITEPRESS – Science and Technology Publications. https://doi.org/10.5220/0008326204280434
Adiutama, N. M., & Fauzi, A. K. (2020). Educational Intervention in Improving Tuberculosis Patient’s Adherence Based on the Theory of Planned Behavior. The 2nd Strada International Conference on Health, 254–263. Kediri, Indonesia.: Strada International Conference on Health. https://doi.org/10.30994/sich2.v2i1.14
Adiutama, N. M., Fauzi, A. K., & Ellina, A. D. (2021). Intervensi Edukasi Berbasis Theory of Planned Behavior Untuk Meningkatkan Kepatuhan Pengobatan, Nutrisi, Dan Pencegahan Penularan Pada Pasien Tuberkulosis: Educational Intervention Based on Theory of Planned Behavior to Improve Compliance with Treatment,. Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing), 7(1), 117–126.
Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. Springer - Verlag Berlin Heidelberg.
Ajzen, I. (2005). Attitudes, Personality and Behavior (2nd ed.; T. Manstead, ed.). Open University Press.
Akeju, O. O., Wright, S. C. D., & Maja, T. M. (2017). Lived experience of patients on tuberculosis treatment in Tshwane, Gauteng province. Health Sa Gesondheid, 22(1), 259–267.
Asare, M., & Heights, H. (2015). Using the Theory of Planned Behavior To Determine THE CONDOM USE BEHAVIOR AMONG COLLEGE STUDENTS. American Journal of Health Psychology, 30(1), 43–50.
Coelho, C. M., Suttiwan, P., Arato, N., & Zsido, A. N. (2020). On the nature of fear and anxiety triggered by COVID-19. Frontiers in Psychology, 11, 581314.
Cucinotta, D., & Vanelli, M. (2020). WHO declares COVID-19 a pandemic. Acta Biomedica, 91(1), 157–160. https://doi.org/10.23750/abm.v91i1.9397
Farrag, M. A., Oraby, M. I., Ragab, O. A., Nasreldein, A., & Shehata, G. A. (2017). Public Stroke Knowledge, Awareness, and Response to Acute Stroke: Multi-center study from 4 Egyptian Governorates. Journal of the Neurological Sciences. https://doi.org/10.1016/j.jns.2017.11.003
Guix-Comellas, E. M., Rozas-Quesada, L., Morín-Fraile, V., Estrada-Masllorens, J. M., Galimany-Masclans, J., Sancho-Agredano, R., … Noguera-Julian, A. (2017). Educational Measure for Promoting Adherence to Treatment for Tuberculosis. Procedia - Social and Behavioral Sciences, 237(June 2016), 705–709. https://doi.org/10.1016/j.sbspro.2017.02.047
Hidayat, R., Aini, N., Ilmi, A. F. N., Azzahroh, F., & Giantini, A. (2020). Test, Trace, and Treatment Strategy to Control COVID-19 Infection Among Hospital Staff in a COVID-19 Referral Hospital in Indonesia. Acta Medica Indonesiana, 52(3), 206–213.
Kementerian Kesehatan Republik Indonesia. (2020). Pedoman Pencegahan dan Pengendalian Coronavirus Disease (COVID-19). Germas, 0–115.
Kopelowicz, A., Zarate, R., Wallace, C. J., Liberman, R. P., Lopez, S. R., & Mintz, J. (2015). Using the theory of planned behavior to improve treatment adherence in Mexican Americans with schizophrenia. Journal of Consulting and Clinical Psychology, 83(5), 985.
Law, S., Leung, A. W., & Xu, C. (2020). Severe acute respiratory syndrome (SARS) and coronavirus disease-2019 (COVID-19): From causes to preventions in Hong Kong. International Journal of Infectious Diseases, 94, 156–163. https://doi.org/https://doi.org/10.1016/j.ijid.2020.03.059
Modi, R., Amico, K. R., Knudson, A., Westfall, A. O., Keruly, J., Crane, H. M., … Mugavero, M. J. (2018). Assessing effects of behavioral intervention on treatment outcomes among patients initiating HIV care: Rationale and design of iENGAGE intervention trial. Contemporary Clinical Trials, 69(February), 48–54. https://doi.org/10.1016/j.cct.2018.03.003
Peleg, S., Vilchinsky, N., Fisher, W. A., Khaskia, A., & Mosseri, M. (2017a). Personality makes a difference: Attachment orientation moderates Theory of Planned Behavior prediction of cardiac medication adherence. Journal of Personality, 85(6), 867–879.
Peleg, S., Vilchinsky, N., Fisher, W., Khaskia, A., & Mosseri, M. (2017b). Attachment Orientation Moderates Theory of Planned Behavior Prediction of Cardiac Medication Adherence. Journal of Personality, 1–42. https://doi.org/10.1111/jopy.12294
Rich, A., Brandes, K., Mullan, B., & Hagger, M. S. (2015). Theory of planned behavior and adherence in chronic illness: a meta-analysis. Journal of Behavioral Medicine, 38(4), 673–688.
Sari, D. N. (2020). Hubungan Antara Persepsi Pekerja, Pengetahuan Dan Ketersediaan Alat Pelindung Diri (APD) Dengan Kepatuhan Penggunaan Alat Pelindung Diri (APD) Di Wilayah Kerja PT. Ramai Jaya Abadi Tanjung Field Tahun 2020. Universitas Islam Kalimantan MAB.
Satuan Tugas Penanganan COVID-19. (2021). Peta Sebaran COVID-19.
Sohrabi, C., Alsafi, Z., O’Neill, N., Khan, M., Kerwan, A., Al-Jabir, A., … Agha, R. (2020). World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). International Journal of Surgery (London, England), 76, 71–76. https://doi.org/10.1016/j.ijsu.2020.02.034
Thirkell, P., Griffiths, M., & Waller, M. D. (2022). Management of Coronavirus Disease 2019 (COVID-19) Pneumonia. In Encyclopedia of Respiratory Medicine (2nd ed., Vol. 2019). Elsevier Inc. https://doi.org/10.1016/b978-0-08-102723-3.00187-6
Wölfel, R., Corman, V. M., Guggemos, W., Seilmaier, M., Zange, S., Müller, M. A., … Rothe, C. (2020). Virological assessment of hospitalized patients with COVID-2019. Nature, 581(7809), 465–469.
Wu, T., Jia, X., Shi, H., Niu, J., Yin, X., Xie, J., & Wang, X. (2021). Prevalence of mental health problems during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of Affective Disorders, 281, 91–98. https://doi.org/10.1016/J.JAD.2020.11.117
Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M. W., Gill, H., Phan, L., … McIntyre, R. S. (2020). Impact of COVID-19 pandemic on mental health in the general population: A systematic review. Journal of Affective Disorders, 277, 55–64. https://doi.org/10.1016/j.jad.2020.08.001
Yan, S., Zhang, S., Tong, Y., Yin, X., Lu, Z., & Gong, Y. (2018). Nonadherence to antituberculosis medications: the impact of stigma and depressive symptoms. The American Journal of Tropical Medicine and Hygiene, 98(1), 262.