EMR prompts in primary care to help prevent prediabetes from becoming diabetes
Official title: Preventing Diabetes: Impact of an EMR-Based Intervention for Enhanced Pre-Diabetes Management in Primary Care
Run by National University Polyclinics, Singapore · NCT07252700 · Data updated 2026-11-12
This project will test whether electronic medical record prompts for doctors in primary care help adults with prediabetes avoid developing diabetes.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 21 Years to 59 Years |
| Sex | All |
| Enrollment | 6000 (estimated) |
| Sponsor | National University Polyclinics, Singapore Academic / other |
| Locations | 1 site (Singapore) |
| Status | Recruiting |
| Started | September 2, 2025 |
| Main results expected | December 31, 2027 |
| Study ends | March 31, 2028 |
| Registry record updated | January 14, 2026 |
| Trial ID | NCT07252700 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 21–59 with prediabetes who receive care at the participating National University Polyclinics (with a survey subgroup of English-speaking patients aged 40–59 able to consent).
✕Probably not a fit
People with an existing diabetes diagnosis, pregnant patients, those with severe liver or kidney disease, those with cognitive impairment, or those who do not attend the participating clinics are unlikely to benefit from this intervention.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This is a two-year cluster-randomized trial across eight National University Polyclinics in Singapore comparing clinics that receive EMR-based clinical decision-support prompts to clinics that do not. All clinicians receive standardized guideline training and patient education materials, while the EMR prompts suggest tests, referrals, follow-up timing, and consideration of metformin when appropriate. The primary analyses use an EMR-based cohort of adults 21–59 with prediabetes and a nested survey cohort of English-speaking patients aged 40–59 to capture patient-reported behaviors. Outcomes include rates of recommended follow-up care (HbA1c testing, referrals, medication starts) and whether fewer patients progress to diabetes within six months.
Why it matters
Potential benefit: If successful, the intervention could increase timely follow-up and appropriate treatment and reduce short-term progression from prediabetes to diabetes.
How similar studies have gone: Electronic decision-support tools in primary care have improved guideline adherence and screening in other conditions, but randomized evidence showing reduced progression from prediabetes to diabetes is limited.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria for study population (EMR based analytic cohort): * All adults aged 21 to 59 years with prediabetes who attend any of the eight participating polyclinics during the study period will be included in the EMR-based analytic cohort. * Prediabetes is defined as impaired fasting glucose or impaired glucose tolerance according to standard clinical criteria, with either diagnosis documented in the EMR problem list or visit diagnosis. * Individuals with a prior diagnosis of diabetes will be excluded. Inclusion Criteria for patient surveys: * Adults aged 40-59 years * Diagnosed with prediabetes (impaired fasting glucose or impaired glucose tolerance) * Receiving routine follow-up care at NUP polyclinics * Able to provide written informed consent * Able to complete questionnaires in English Exclusion criteria for patient surveys: * Prior diagnosis of diabetes mellitus or gestational diabetes * Severe acute or chronic liver or kidney disease * Pregnancy * Cognitive impairment * Inability to communicate in English Inclusion Criteria for clinician surveys: * All clinicians that consult patients in National University Polyclinics * No exclusion criteria specified for clinicians
Where it's running
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National University Polyclinics, Singapore
Singapore, Singapore Recruiting
Study contacts
- Study coordinator: Lynette ML Goh, BNutrDiet
- Email: lynette_ml_goh@nuhs.edu.sg
- Phone: 6598235619
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.