Exploring the relationship between mental health disorders and medical compliance in patients with chronic diseases
DOI:
https://doi.org/10.52783/jns.v14.1553Keywords:
Mental health disorders, medical compliance, chronic diseases, patient adherence, depression, anxiety, treatment outcomes, integrated careAbstract
The association between mental health conditions and chronic disease patients' adherence to their treatment plans is investigated in this study. Non-adherence to recommended medical treatments can worsen the progression of chronic conditions, which frequently call for long-term treatment plans. It is well known that mental health conditions such as stress, anxiety, and depression have a detrimental effect on patients' compliance with treatment plans and medical advice. The study looks at how patients' willingness and capacity to adhere to medical advice are influenced by things like the intensity of their symptoms, their mental health, and the support networks they have access to. To enhance medical compliance and general health outcomes in the management of chronic diseases, the study intends to draw attention to the necessity of integrated care approaches that address both mental and physical health through an analysis of patient interviews, clinical records, and treatment outcomes.
Downloads
Metrics
References
Ahmed M. Chronic cardiac diseases and patients’ mental health: Exploring the impact of improving mental health on chronic heart failure prognosis and adherence to treatment behaviour in primary care based patients.
Bąk-Sosnowska M, Gruszczyńska M, Wyszomirska J, Daniel-Sielańczyk A. The influence of selected psychological factors on medication adherence in patients with chronic diseases. InHealthcare 2022 Feb 24 (Vol. 10, No. 3, p. 426). MDPI. https://doi.org/10.3390/healthcare10030426
Carswell C, Brown JV, Lister J, Ajjan RA, Alderson SL, Balogun-Katung A, Bellass S, Double K, Gilbody S, Hewitt CE, Holt RI. The lived experience of severe mental illness and long-term conditions: a qualitative exploration of service user, carer, and healthcare professional perspectives on self-managing co-existing mental and physical conditions. BMC psychiatry. 2022 Jul 19;22(1):479. https://doi.org/10.1186/s12888-022-04117-5
Velentza O, Aouant N, Zyga S, Tzavella F, Panagiotou A. The relationship between beliefs about medicines, health locus of control and medication compliance in patients with mental disorders.
Hames A, Matcham F, Makin I, Day J, Joshi D, Samyn M. Adherence, mental health and illness perceptions in autoimmune liver disease: looking beyond liver function tests. Journal of pediatric gastroenterology and nutrition. 2021 Sep 1;73(3):376-84.
Ahmadi M, Kamali S, Noghani F. The effect of covid-19 on seafood markets. International Journal of Aquatic Research and Environmental Studies. 2021 Nov 10;1(2):39-49. https://doi.org/10.70102/IJARES/V1I2/5
Sadulla S. Next-Generation Semiconductor Devices: Breakthroughs in Materials and Applications. Progress in Electronics and Communication Engineering. 2024;1(1):13-8.
Haghighi H, Bahmani M, Yousefi Jourdeh A, Zamini A. Effects of super nutrients on some growth and biochemical indices in Siberian sturgeon (Acipenser baerii). International Journal of Aquatic Research and Environmental Studies. 2022 Nov 10;2(2):1-6. https://doi.org/10.70102/IJARES/V2I2/1
Klein D, Dech S, Raddwine B, Uken E. Memory Module: High-Speed Low Latency Data Storing Modules. Journal of VLSI circuits and systems. 2023;5(01):35-41. https://doi.org/10.31838/jvcs/05.01.05
Fakhrian M, Jafariyan M, Pirali Zefrehei AR, Sahraei H. The effect of dietary medicinal plants on blood parameters of sterlet (Acipenser ruthenus). International Journal of Environmental Research and Education. 2021 Dec 10;2(1):55-9. https://doi.org/10.70102/IJARES/V2I1/6
Uvarajan KP. Advances in Quantum Computing: Implications for Engineering and Science. Innovative Reviews in Engineering and Science. 2024;1(1):21-4.
Kavitha M. Advances in Wireless Sensor Networks: From Theory to Practical Applications. Progress in Electronics and Communication Engineering. 2024;1(1):32-7.
Beyene F, Negash K, Semeon G, Getachew B. CMOS Technology: Conventional Module Design for Faster Data Computations. Journal of VLSI circuits and systems. 2023;5(01):42-8. https://doi.org/10.31838/jvcs/05.01.06
Prasath CA. Cutting-edge developments in artificial intelligence for autonomous systems. Innovative Reviews in Engineering and Science. 2024;1(1):11-15.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

