Parkinson Disease: A Model of National Digital Interventions to Prevent or Slow a Rise of Non-Communicable

NCT06609681 | Active Not Recruiting DMC

• 2 other identifiers: Med Chula IRB No.0804/65GCE 3300160003
• Study Type: observational
• Target: 10,000
• Locations: 1 country
• Sites: 1

Brief Summary

According to Parkinson's Disease Medical Center of Excellence's project which was registered Parkinson's disease patients in 2008-2011, it was found that there were more than 60,000 people with Parkinson's disease in Thailand, approximately 1 over 3 of all elderly people. It is estimated that the prevalence of Parkinson's disease is approximately 242.57 per 100,000 people of all elderly people, and it is likely to increase due to the current situation of Thailand which is entering aging society. The current diagnosis of Parkinson's disease still relies heavily on medical history and physical examination. The accuracy of diagnosing Parkinson's disease by neurologists is approximately 80 percent, especially when they have been following up consistently. Nonetheless, if they have Parkinson's disease in the early stages, the signs and symptoms will not be severe. Therefore, diagnostic accuracy will decrease around 40-50 percent, making it difficult to diagnose Parkinson's disease patients at an early stage and as a consequence, there still are many undiagnosed patients in 2022. Consequently, Parkinson's Disease Medical Center of Excellence is planning to establish this pilot research project to develop and analyze advanced data of the screening system for people at risk and precursor symptoms to Parkinson's disease, Chulalongkorn Hospital, Thai Red Cross Society. Dividing patients into 3 groups, those who have precursor symptoms, who are at risk of developing disease and Parkinson's disease patients, using the digital platform on mobile application that includes general information, health information, congenital diseases, regularly used medications, initial abnormal symptoms, various risk factors, writing and handwriting, pronunciation assessments, and get diagnosis from experts for referral in the public health system.

Conditions

Parkinson Disease, Idiopathic

Keywords

Thai Parkinson Screening. Registry.

Outcome Measures

Primary Outcomes (1)

• Digital platform system; Motor and non-motor symptom of Parkinson' s disease questionnaire, tremor and voice test

  a web-based structural software package that speeds and eases transactions among users. Digital platforms serve digital markets, while also offering physical products.

  1 year

Secondary Outcomes (2)

• Age

  1 year

• Early Lifestyle interventions Eat Move Sleep

  1 year

Eligibility Criteria

• Age: 40 Years - 99 Years
• Gender Eligibility Details: Thai Adult age more than 40year old
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

\- Thai Adult age more than 40year old or have family history of Parkinson's disease

You may qualify if:

• Thai Adult age more than 40 years old.
• Family history with Parkinson's disease.

You may not qualify if:

• \. Thai Adult age less than 40 years old

Sponsors & Collaborators

• Roongrooj Bhidayasiri: lead

Study Sites (1)

Chulalongkorn Center of Excellence for Parkinson's disease and related to movement disorder

Pathum Wan, Bangkok, 10330, Thailand

Location

MeSH Terms

Conditions

Parkinson Disease

Condition Hierarchy (Ancestors)

Parkinsonian Disorders; Basal Ganglia Diseases; Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Movement Disorders; Synucleinopathies; Neurodegenerative Diseases

Study Officials

• Professor Roongroj Bhidayasiri, M.D.

  Chulalongkorn Centre of Excellence for Parkinson's Disease and Related Disorders

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Target Duration: 1 Year
• Sponsor Type: OTHER
• Responsible Party: SPONSOR INVESTIGATOR
• PI Title: Chulalongkorn Center of Excellence for Parkinson is disease and related to movement disorder

Study Record Dates

• First Submitted: September 16, 2024
• First Posted: September 24, 2024
• Study Start: January 1, 2024
• Primary Completion: November 1, 2024
• Study Completion (Estimated): December 31, 2033
• Last Updated: September 25, 2024

Record last verified: 2024-09

Locations

TH (1)