Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
ID07195045

Thai Version of PainPREDICT: Translation, Validation, and Mobile App Development for Screening Painful Diabetic Neuropathy in Diabetes Patients

Led by Chulalongkorn University · Updated on 2025-10-03

277

Participants Needed

1

Research Sites

18 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Painful diabetic neuropathy (PDN) is a common and disabling complication of diabetes that greatly impacts quality of life and daily functioning. Early detection is important to enable timely treatment and prevent serious complications like foot ulcers and amputations. In Thailand, there are limited culturally adapted tools to screen for PDN. This research aims to translate, adapt, and validate the PainPREDICT questionnaire for Thai patients and integrate it into a mobile health application to improve screening accessibility, especially in resource-limited settings. The study is conducted in three phases. First, the PainPREDICT questionnaire will be translated into Thai, culturally adapted, and tested for reliability and validity using expert review, pilot testing, and comparison with existing neuropathic pain measures and neurophysiological tests. Next, a mobile application embedding the validated Thai questionnaire will be developed and tested for usability by patients and clinicians. Finally, the diagnostic accuracy and real-world use of the app will be evaluated in 200 to 300 adults with type 1 or type 2 diabetes, comparing results to clinical diagnosis and neurophysiological testing. Participants will be adults with diabetes who can communicate in Thai and provide consent. They will complete the Thai PainPREDICT questionnaire either via the mobile app or paper form. Researchers will collect data on reliability, validity, usability, and diagnostic accuracy through questionnaires, clinical assessments, nerve conduction studies, and sensory testing. Data security and privacy will be maintained according to Thai regulations. The study aims to develop a reliable, culturally appropriate tool to enhance early PDN detection and improve patient care across Thailand.

CONDITIONS

Brief Title

Thai PainPREDICT Validation Study

Who Can Participate

Age: 18Years +
All Genders

Eligibility Criteria

Eligible

You may qualify if you...

  • Adults aged 18 years or older
  • Diagnosed with type 1 diabetes mellitus or type 2 diabetes mellitus
  • Able to communicate in Thai
  • Willing and able to provide written informed consent
Not Eligible

You will not qualify if you...

  • Neuropathy due to other causes such as alcohol, chemotherapy, HIV, or other systemic diseases
  • Significant cognitive impairment or neurological conditions preventing comprehension of the questionnaire
  • Severe psychiatric illness interfering with study participation

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

1 visit (in-person)

Diagnostic Evaluation

Duration - Up to 12 months

Participants complete the Thai PainPREDICT questionnaire via a mobile application and/or paper version. Results are compared against clinical diagnosis and neurophysiological tests to assess painful diabetic neuropathy.

Initial assessment visit and periodic assessments as needed

Long-term Monitoring

Duration - Up to 14 months following diagnostic evaluation

Participants are observed to evaluate the reliability, validity, and usability of the Thai PainPREDICT questionnaire and mobile application in real-world settings.

Follow-up visits during months 7 to 26 to assess usability and diagnostic accuracy

Trial Site Locations

Total: 1 location

1

King Chulalongkorn Memorial hospital, The Thai Red Cross Society

Pathum Wan, Bangkok, Thailand, 10330

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Research Team

J

Jakkrit Amornvit, MD

T

Tharadon Deepracha, MSc

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

NON_RANDOMIZED

Model

PARALLEL

Primary Purpose

DIAGNOSTIC

Number of Arms

2

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