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Year : 2020  |  Volume : 11  |  Issue : 1  |  Page : 25

Predictors and level of knowledge regarding Parkinson's disease among patients: A cross-sectional study from Thailand

1 College of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand
2 Second Year MBBS, Dow International Medical College, Karachi, Pakistan
3 Civil Hospital, Mirpurkhas, Sindh, Pakistan
4 Health Services Academy, Islamabad, Pakistan

Correspondence Address:
Ramesh Kumar
Health Services Academy, Chakshahzad, Islamabad, Islamabad Capital Territory
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/ijpvm.IJPVM_221_19

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Background: Parkinson's disease (PD) is a neurodegenerative disorder that results in gradual decline of motor, autonomic, and neuropsychiatric functions of the patient. Knowledge and factors responsible for Parkinson's disease (PD) are important among patients that could positively affect their attitude and perceptions. This study was conducted to determine the factors influencing and level of the knowledge regarding Parkinson's disease in Thailand. Methods: This cross-sectional study was conducted on 125 patients admitted in King Chulalongkorn Memorial Hospital Bangkok, Thailand. Sociodemographic variables and clinical characteristics were collected as predictors of knowledge, treatment, and self-care for PD. A validated, piloted, pretested tool was used for data collection. Multiple linear regressions were used to find the most influencing predictor of knowledge about PD. The study was approved by the Ethical Board of Chulalongkorn University, Thailand. Results: The level of education was found to be the most significant (P = 0.005) predictor of PD knowledge. PD patients with high education had significantly higher knowledge scores than those with low education in all aspects of disease (P = 0.041), treatment (P = 0.014), and self-care (P = 0.011). PD knowledge was poor in variables such as levodopa (62%), nonmotor symptoms (54%), and stem cell transplantation (40%), respectively. Conclusion: The study results conclude that educational level is the most important predictor of knowledge about Parkinson's disease.

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