Hubungan Beban Kerja Mental terhadap Depresi, Kecemasan, dan Stres di Klinik XX: Studi Kasus di Samarinda

Evi Paulina Simanjuntak, Iwan M Ramdan, Muhammad Sultan, Ida Ayu Indira Dwika Lestari

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ABSTRACT

 

Pratama XX Clinic in Samarinda serves up to 100 patients per day with limited manpower resources, thus potentially causing mental workload and stress. Mental workload occurs because work demands exceed the individual’s mental capacity which can trigger fatigue and emotional reactions. Psychological disorder such as depression, anxiety, and stress often arise as a result of high work pressure. Understand the correlation between mental workload and psychological dimensions such as depression, anxiety and stress. Also understand therelationship between psychological dimensions (depression, anxiety and stress). This study used a quantitative descriptive correlational design with a cross-sectional approach. The sample consisted of 10 XX clinic employees in Samarinda who were selected through total sampling. The instruments used were DASS-21 to measure depression, anxienty, and stress, and simple NASA-TLX to measure mental workload. Data were analyzed descriptively and using the Spearman correlation test because the sample size was small and the data was non-parametric. The correlation between mental workload and anxiety is significant( = 0.642 ; p-value = 0.045), while the correlation with depression (= 0.263 ; p-value = 0.462) and the relationship with stress ( = 0.351 ; p-value = 0.320) are not significant. While the correlation between Depresion and Anxiety is significant ( = 0.664 ; p-value = 0.036), and the correlation between Depression and Stress is also very significant ( = 0.777 ; p-value = 0.008), as well as the correlation between anxiety and stress which is also significant ( = 0.746 p-value = 0.013). From the research results, it was found that mental workload and anxiety have a close relationship, and the three psychological dimensions, namely depresions, anxiety and stress, are interrelated and can strengthen and each other.

 

Keywords: Mental workload, Depression, Anxiety, Stress.

 

 

ABSTRAK

 

Klinik Pratama XX di Samarinda melayani hinga 100 pasien per hari dengan sumber daya tenaga kerja yang terbatas, sehingga berpotensi menimbulkan beban kerja mental dan strs yang terbatas, sehingga berpotensi menimbulkan beban kerja mental dan stres pada tenaga kesehatan. Beban kerja mental terjadi karena tuntutan pekerjaan melebihi kapasitas mental individu yang dapat memicu kelelahan dan reaksi emosional. Gangguan psikologis seperti depresi, kecemasan, dan stres sering muncul sebagai dampak dari tekanan kerja yang tinggi. Memahami adanya korelasi antara beban kerja mental dengan dimensi psikologis berupa depresi, kecemasan dan stres. Juga memahami hubungan antara diemensi psikologis (depresi, kecemasan dan stres). Penelitian ini menggunakan desain kuantitatif deskriptif korelasional dengan pendekatan cross-sectional. Sampel terdiri dari 10 karyawan klinik XX di Samarinda yang dipilih melalui total sampling. Instrumen yang digunakan adalah NASA-TLX sederhana untuk mengukur beban kerja mental serta DASS-21 untuk mengukur depresi, kecemasan dan stres. Data dianalisis secara deshriptif dan menggunakan uji korelasi Spearman karena jumlah sampel kecil dan data berskala non-parametik. Korelasi antara beban kerja mental dan kecemasan bersifat signifikan ( = 0.642 ; p-value = 0.045), sementara korelasi dengan depresi (= 0.263 ; p-value = 0.462) dan hubungan dengan stres ( = 0.351 ; p-value = 0.320) tidak signifikan. Sementara korelasi antara Depresi dan Kecemasan bersifat signifikan ( = 0.664 ; p-value = 0.036),dan korelasi Depresi dengan Stres juga sangat signifikan ( = 0.777 ; p-value = 0.008), begitu juga dengan korelasi kecemasan dengan stres yang juga signifikan ( = 0.746 p-value = 0.013). Dari hasil penelitian didapatkan beban kerja mental dengan kecemasan memiliki hubungan yang erat, dan ketiga dimensi psikologis yaitu depresi, kecemasan dan stres saling berhubungan dan dapat saling memperkuat.

 

Kata Kunci: Beban Kerja Mental, Depresi, Kecemasan, Stres


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Referensi


Al-Dubai, S. A. R., & Rampal, K. G. (2010). Prevalence and associated factors of burnout among doctors in Yemen. Journal of Occupational Health, 52(1), 58–65. https://doi.org/10.1539/JOH.O8030

Ali, A. M., Alkhamees, A. A., Hori, H., Kim, Y., & Kunugi, H. (2021). The depression anxiety stress scale 21: Development and validation of the depression anxiety stress scale 8-item in psychiatric patients and the general public for easier mental health measurement in a post COVID-19 world. International Journal of Environmental Research and Public Health, 18(19), 10142. https://doi.org/10.3390/IJERPH181910142/S1

American Psychiatric Association. (2013). Diagnostic and Statistical Manual of Mental Disorders. Diagnostic and Statistical Manual of Mental Disorders. https://doi.org/10.1176/APPI.BOOKS.9780890425596

Braarud, P. Ø. (2021). Investigating the validity of subjective workload rating (NASA TLX) and subjective situation awareness rating (SART) for cognitively complex human–machine work. International Journal of Industrial Ergonomics, 86, 103233. https://doi.org/10.1016/j.ergon.2021.103233

Cardoso, A. L., Silva-Junior, G. O., Bastos, L. F., Cesar, A. L. M., Serrano, L. G., Dziedzic, A., & Picciani, B. L. S. (2023). Preliminary Assessment of the Quality of Life and Daily Burden of Caregivers of Persons with Special Needs: A Questionnaire-Based, Cross-Sectional Survey. International Journal of Environmental Research and Public Health, 20(3), 2012. https://doi.org/10.3390/ijerph20032012

Chew, N. W. S., et al. (2020). The prevalence of stress, anxiety and depression within front-line healthcare workers caring for COVID-19 patients: a systematic review and meta-regression. npj Primary Care Respiratory Medicine. - Penelusuran Google. (n.d.). Retrieved June 22, 2025, from https://www.google.com/search?client=safari&rls=en&q=Chew%2C+N.+W.+S.%2C+et+al.+(2020).+The+prevalence+of+stress%2C+anxiety+and+depression+within+front-line+healthcare+workers+caring+for+COVID-19+patients%3A+a+systematic+review+and+meta-regression.+npj+Primary+Care+Respiratory+Medicine.&ie=UTF-8&oe=UTF-8

Eysenck, M. W., Derakshan, N., Santos, R., & Calvo, M. G. (2007). Anxiety and cognitive performance: attentional control theory. Emotion (Washington, D.C.), 7(2), 336–353. https://doi.org/10.1037/1528-3542.7.2.336

Fredericks, S., ElSayed, M., Hammad, M., Abumiddain, O., Istwani, L., Rabeea, A., Rashid-Doubell, F., & Bella, A. M. E. (2021). Anxiety is associated with extraneous cognitive load during teaching using high-fidelity clinical simulation. Medical Education Online, 26(1). https://doi.org/10.1080/10872981.2021.1994691

Ghasemi, F., Beversdorf, D. Q., & Herman, K. C. (2024). wpStress and stress responses: A narrative literature review from physiological mechanisms to intervention approaches. Journal of Pacific Rim Psychology, 18. https://doi.org/10.1177/18344909241289222/ASSET/D7CFE3C7-DA71-4FEB-BAE3-C605EB02E816/ASSETS/IMAGES/LARGE/10.1177_18344909241289222-FIG2.JPG

Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., Wu, J., Du, H., Chen, T., Li, R., Tan, H., Kang, L., Yao, L., Huang, M., Wang, H., Wang, G., Liu, Z., & Hu, S. (2020). Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Network Open, 3(3), e203976. https://doi.org/10.1001/jamanetworkopen.2020.3976

Lee, B. E. C., Ling, M., Boyd, L., Olsson, C., & Sheen, J. (2023). The prevalence of probable mental health disorders among hospital healthcare workers during COVID-19: A systematic review and meta-analysis. In Journal of Affective Disorders (Vol. 330, pp. 329–345). Elsevier B.V. https://doi.org/10.1016/j.jad.2023.03.012

Lee, D. (2019). The convergent, discriminant, and nomological validity of the Depression Anxiety Stress Scales-21 (DASS-21). Journal of Affective Disorders, 259, 136–142. https://doi.org/10.1016/j.jad.2019.06.036

Li, Y., Wang, A., Wu, Y., Han, N., & Huang, H. (2021). Impact of the COVID-19 Pandemic on the Mental Health of College Students: A Systematic Review and Meta-Analysis. Frontiers in Psychology, 12. https://doi.org/10.3389/FPSYG.2021.669119/FULL

Olaya, B., Pérez-Moreno, M., Bueno-Notivol, J., Gracia-García, P., Lasheras, I., & Santabárbara, J. (2021). Prevalence of Depression among Healthcare Workers during the COVID-19 Outbreak: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine, 10(15), 3406. https://doi.org/10.3390/jcm10153406

Pappa, S., Ntella, V., Giannakas, T., Giannakoulis, V. G., Papoutsi, E., & Katsaounou, P. (2020). Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis. In Brain, Behavior, and Immunity (Vol. 88, pp. 901–907). Academic Press Inc. https://doi.org/10.1016/j.bbi.2020.05.026

Petersen, I., Fairall, L., Zani, B., Bhana, A., Lombard, C., Folb, N., Selohilwe, O., Georgeu-Pepper, D., Petrus, R., Mntambo, N., Kathree, T., Bachmann, M., Levitt, N., Thornicroft, G., & Lund, C. (2021). Effectiveness of a task-sharing collaborative care model for identification and management of depressive symptoms in patients with hypertension attending public sector primary care clinics in South Africa: pragmatic parallel cluster randomised controlled trial. Journal of Affective Disorders, 282, 112–121. https://doi.org/10.1016/j.jad.2020.12.123

Rypicz, Ł., Witczak, I., Gawłowski, P., Salehi, H. P., & Kołcz, A. (2023). Assessment of selected psychosocial risk factors: stress, job burnout, and bullying in the case of medical staff as part of workplace ergonomics during the COVID-19 pandemic-A prospective pilot study. Frontiers in Public Health, 11. https://doi.org/10.3389/FPUBH.2023.1169604

Said, S., Gozdzik, M., Roche, T. R., Braun, J., Rössler, J., Kaserer, A., Spahn, D. R., Nöthiger, C. B., & Tscholl, D. W. (2020). Validation of the Raw National Aeronautics and Space Administration Task Load Index (NASA-TLX) Questionnaire to Assess Perceived Workload in Patient Monitoring Tasks: Pooled Analysis Study Using Mixed Models. J Med Internet Res 2020;22(9):E19472 Https://Www.Jmir.Org/2020/9/E19472, 22(9), e19472. https://doi.org/10.2196/19472

Shekhar, S., Ahmad, S., Ranjan, A., Pandey, S., Ayub, A., & Kumar, P. (2022). Assessment of depression, anxiety and stress experienced by health care and allied workers involved in SARS-CoV2 pandemic. Journal of Family Medicine and Primary Care, 11(2), 466. https://doi.org/10.4103/JFMPC.JFMPC_2518_20

Tseng, C.-H., & Sim, D. (2021). Sample size planning for pilot studies Journal Title XX(X):1-15. www.sagepub.com/

Vallecillo, G., Marti-Bonany, J., Carrió, E., Fortuny, J. R., Páez, A., Pérez, M., Pérez, V., & Robles, M. J. (2021). A comprehensive clinical care for patients with mental illness and COVID-19 in a psychiatric center. Journal of Psychosomatic Research, 149, 110599. https://doi.org/10.1016/j.jpsychores.2021.110599

Vignais, N., Bernard, F., Touvenot, G., & Sagot, J.-C. (2017). Physical risk factors identification based on body sensor network combined to videotaping. Applied Ergonomics, 65, 410–417. https://doi.org/10.1016/j.apergo.2017.05.003

Young, M. S., & Stanton, N. A. (2007). What’s skill got to do with it? Vehicle automation and driver mental workload. Ergonomics, 50(8), 1324–1339. https://doi.org/10.1080/00140130701318855




DOI: https://doi.org/10.33024/mahesa.v5i11.21625

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