Detection and Optimization of Treatment of Severe Cases of Dry Eye Disease

NCT07554911 | Recruiting

• 2 other identifiers: 2023-2479MOH-001363-00
• Study Type: observational
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

The bulk of dry eye patients are found in the community. The lack of satisfactory protocols and confidence is a significant deterrent for practitioners to manage such patients, which may result in inaccurate referrals, and unhappy patients. Problems are compounded by comorbidities of dry eye, even if these are not diagnosed formally. Aligning with the healthcare strategy to move beyond healthcare to health, and beyond hospital care to community care, investigators propose that the confidence of primary carers be increased by using an image-based screening system. This study aim to determine the efficacy of this screening AI algorithm, a prototype, in addition to or instead of screening of dry eye using a simple DEQ-5 symptom questionnaire.

Conditions

Dry Eye

Keywords

dry eye

Outcome Measures

Primary Outcomes (1)

• Determine the efficacy of this screening AI algorithm, a prototype, in addition to or instead of screening of dry eye using a simple DEQ-5 symptom questionnaire.

  DEQ-5 is aimed to detect dry eye cases, but not necessarily dry eye requiring specialist care. The AI algorithm picks up cases with central cornea staining, which can then be referred for specialist care. Non-referred cases can be managed with eyelid warming, artificial tears and advice, with the aim of rescreening at a later time.

  3 years

Eligibility Criteria

• Age: 21 Years - 99 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

dry eye patients

You may qualify if:

• years old and above
• Participants must be previously diagnosed with dry eye in the dry eye clinic (previous referred and had various forms of treatment such as artificial tears or prescription eyedrops)
• Willing to perform all eye examinations and questionnaires in this study
• Ability to provide informed consent

You may not qualify if:

• Any other specified reason as determined by clinical investigator

Sponsors & Collaborators

• Singapore National Eye Centre: lead

Study Sites (1)

Singapore Eye Research Institute

Singapore, 169856, Singapore

RECRUITING

MeSH Terms

Conditions

Dry Eye Syndromes

Condition Hierarchy (Ancestors)

Lacrimal Apparatus Diseases; Eye Diseases

Study Officials

• Louis Tong

  Singapore Eye Research Institute (SERI)

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Sharon Yeo, BSc

CONTACT

65767200; sharon.yeo.w.j@singhealth.com.sg

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER GOV
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 21, 2026
• First Posted: April 28, 2026
• Study Start: October 18, 2023
• Primary Completion (Estimated): July 31, 2028
• Study Completion (Estimated): July 31, 2028
• Last Updated: May 1, 2026

Record last verified: 2026-04

Locations

SG (1)