ZİHİNSEL SAĞLIK PROBLEMLERİ İÇİN OLASILIKSAL ANALİZ: DİKKATİ DAĞILMIŞ BİREYLERİ YÖNETMEYE YÖNELİK POLİTİKALARIN DEĞERLENDİRİLMESİ

Abstract

Zihinsel sağlık problemleri insanın gündelik hayatını olumsuz etkileyen problemler arasında yer almaktadır. Bu problemlere depresyon, travma sonrasi stress bozukluğu ve anksiyete bozukluğu örnek gösterilebilir. Bu tür problemere maruz kalan insanın zihni yorumlama, sentezleme, okuduğunu anlama gibi temel işlevleri verimli bir şekilde gerçekleştiremez. Bu tür problemler bilimsel analizle ele alınır ve bunlar için matematiksel modeller geliştirilmektedir. Bu makalede amacın belirli görevleri tamamlaması gereken dikkati dağılmış bireyleri etkin bir şekilde yönetmek olduğu bir zihinsel sağlık problemleri sınıfını tanımlamaktayız. Problem, bireylerin dikkat dağınıklığı düzeyine göre sınıflandırılması ve belirli bir olasılıkla dikkat dağınıklığı ile karşı karşıya kalma özelliğine sahiptir. Dikkati dağılmış bireylerin sorumlu olduğu ilgili otorite tarafından uygulanabilecek farklı politikaları değerlendirmek için olasılıksal analiz yapmaktayız. Sayısal deneyler, bireylere görevleriyle ilgili atamaları empoze eden ve onlara yüksek ödül ve düşük ceza karşılığı sunan politikanın, incelediğimiz tüm senaryolarda diğer politikalardan önemli ölçüde daha iyi performans gösterdiğini ortaya koymaktadır. Bu çalışma zihinsel sağlık problemlerinin matematiksel olarak modellemesine öncülük edecek niteliktedir.

Keywords

• Zihinsel Sağlık
• Olasılık Modelleri
• Politika Değerlendirmesi

A PROBABILISTIC ANALYSIS FOR MENTAL HEALTH PROBLEMS: EVALUATION OF POLICIES FOR MANAGING DISTRACTED INDIVIDUALS

Abstract

Mental health problems are among the problems that negatively affect people's daily lives. Depression, post-traumatic stress disorder and anxiety disorder can be given as examples of these problems. The mind of a person exposed to such problems cannot efficiently perform basic functions such as interpreting, synthesizing and understanding what is read. Such problems are addressed with scientific analysis and mathematical models are developed for them. In this paper, we define a class of mental health problems where the goal is to effectively manage distracted individuals that are required to complete specific tasks. The problem has the property that individuals are classified based on the level of distraction and face distraction with certain probability. We perform probabilistic analysis to evaluate different policies that can be implemented by the respective authority to which distracted individuals are responsible for. Numerical experiments reveal that the policy imposing task-related assignments to individuals and offering them the recompense of high-reward and low-penalty significantly outperforms other policies in all the scenarios we examined. This study will pioneer the mathematical modelling of mental health problems.

Keywords

• Mental Health
• Probability Models
• Policy Evaluation

References

1. Albert, P. R. (2015), “Why is depression more prevalent in women?", J Psychiatry Neurosci, Vol. 40 No. 4, pp. 219-221.
2. Bogic, M., Njoku, A., and Priebe, S. (2015), “Long-term mental health of war-refugees: a systematic literature review", BMC International Health and Human Rights, Vol. 15 No. 29, pp. 1-41.
3. Evans, T. M., Bira, L., Gastelum, J. B., Weiss, L. T., Vanderford, N. L. (2018), “Evidence for a mental health crisis in graduate education", NATURE BIOTECHNOLOGY, Vol. 36 No. 3, pp. 282-284.
4. Frasquilho, D., Matos, M.G., Salonna, F., Guerreiro, D., Storti, C. C., Gaspar, T., and Caldas, J. M. (2016), “Mental health outcomes in times of economic recession: a systematic literature review", BMC Public Health, Vol. 16 No. 115, pp. 1-40.
5. Fusar-Poli, P., Pablo, G. S., Micheli, A. D., Nieman, D. H., Correll, C. U., Kessing, L. V., Pfennig, A., Bechdolf, A., Borgwardt, S., Arango, C., Amelsvoort, T. V. (2020), “What is good mental health? A scoping review", European Neuropsychopharmacology, Vol. 31, pp. 33-46.
6. Galbraith, N., Boyda, D., McFeeters, D. and Hassan, T. (2021), “The mental health of doctors during the COVID-19 pandemic", BJPsych Bulletin, Vol. 45, pp. 93-97.
7. Göçgün, Y. (2020), “A Markov Decision Process Approach for Mental Health", Konya Journal of Engineering Sciences, Vol. 8 No. 2, pp. 258-268.
8. Hameed, Z., Garavan, T.N., Naeem, R.M., Burhan, M., Moin, M.F. and McCabe, T. (2024), “Subjective well-being, COVID-19 and financial strain following job loss: stretching the role of human resource management to focus on human sustainability beyond the workplace”, Asia Pacific Journal of Human Resources, Vol. 62 No. 1, e12384.

9. Lepine, J.P. and Briley, M., (2011) “The increasing burden of depression", Neuropsychiatric Disease and Treatment, Vol. 7, pp. 3-7.
10. Lim, G. Y., Tam, W. W., Lu, Y., Ho, C. S., Zhang, M. W., Ho, R. C. (2018), “Prevalence of Depression in the Community from 30 Countries between 1994 and 2014", Scientific Reports, Vol. 8 No. 2861, pp. 1-10.
11. Mikkelsen, K., Stojanovska, L., Polenakovic, M., Bosevski, M., Apostolopoulos, V. (2017), “Exercise and mental health", Maturitas, Vol. 106, 48-56.
12. O’Connor, R. C., Wetherall, K., Cleare, S., McClelland, H., Melson, A. J., Niedzwiedz, C. L., O’Carroll, R. E., O’Connor, D. B., Platt, S., Scowcroft, E., Watson, B., Zortea, T., Ferguson, E., Robb, K. A. (2021), “Mental health and well-being during the COVID-19 pandemic: longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study", The British Journal of Psychiatry, Vol. 218, pp. 326-333.
13. Pedrelli, P., Nyer, M., Yeung, A., Zulauf, C., Wilens, T. (2015), “College Students: Mental Health Problems and Treatment Considerations", Acad Psychiatry, Vol. 39, pp. 503-511.
14. Pragati, S., Priya, R. S., Rajagopal, P., Pradeepa, C. (2021), “Effects of built environment on healing the mental health of the people–literature review", Frontiers in Engineering and Built Environment, 2021.
15. Reed, H., Thapar, A., Riglin, L., Collishaw, S., & Eaton, C. B. (2024), “The unequal impacts of the COVID‐19 pandemic on young adults' mental health. Predictors of vulnerability and resilience using longitudinal birth cohort data in the UK”. Journal of Adolescence, 1-11.
16. Repper, J. and Carter, T. (2020), “A review of the literature on peer support in mental health services". Journal of Mental Health, Vol. 20 No. 4, pp. 392-411.
17. Richter, D. Dixon, J. Models of mental health problems: a quasi-systematic review of theoretical approaches, Journal of Mental Health, 32:2, 396-406, 2023.
18. Martín-Rodríguez, A., Gostian-Ropotin, L. A., Beltrán-Velasco, A. I., Belando-Pedreño, N., Simón, J. A., López-Mora, C., Clemente-Suárez, V. J. (2024), “Sporting Mind: The Interplay of Physical Activity and Psychological Health”, Sports, 12(1), 37.
19. Solmi, M., Radua, J., Olivola, M., Croce, E., Soardo, L., Salazar de Pablo, G., Fusar-Poli, P. (2022), “Age at onset of mental disorders worldwide: a large-scale meta-analysis of 192 epidemiological studies”, Molecular psychiatry, 27(1), 281-295.
20. Xiong, J., Lipsitz, O., Nasri, F., Lui, L. M., 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.