AI-powered personalized heat risk alerts for adults with chronic conditions
Official title: Effectiveness of an Artificial Intelligence-Assisted Personalized Heat-Risk Alert System in Reducing Heat-Related Illness Among Adults With Chronic Conditions: A Randomized Controlled Trial in Pakistan
Run by National University of Medical Sciences, Pakistan · NCT07825831 · Data updated 2026-11-12
A smartphone app-based test will see if AI-driven, personalized heat risk alerts reduce heat-related illness symptoms in adults with chronic diseases.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 120 (estimated) |
| Sponsor | National University of Medical Sciences, Pakistan Academic / other |
| Locations | 1 site (Gujranwala, Punjab Province) |
| Status | Recruiting |
| Started | September 1, 2026 |
| Main results expected | October 13, 2026 |
| Study ends | October 30, 2026 |
| Registry record updated | September 23, 2026 |
| Trial ID | NCT07825831 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18+ with chronic noncommunicable diseases (e.g., hypertension, type 2 diabetes, CKD, cardiovascular disease, obesity) who have a smartphone and can read Urdu or English.
✕Probably not a fit
Patients without access to a smartphone, those without chronic risk conditions, or those unable to use or receive alerts may not benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This randomized controlled trial will compare an AI-assisted, personalized heat-risk alert system to a generic heat advisory in a six-week study among adults with chronic conditions at a hospital in Gujranwala, Pakistan. On days with very hot forecasts, the AI system classifies participants into low, moderate, or high risk and sends tailored alerts, while the control group gets standard advisories. The primary outcome is the Heat-Related Illness Symptom Score at six weeks; secondary outcomes include protective behaviors and knowledge about heat health. The study aims to determine whether personalization improves responses to extreme heat exposure in vulnerable adults.
Why it matters
Potential benefit: If successful, the approach could help at-risk patients reduce heat-related symptoms and take timely protective actions.
How similar studies have gone: Previous work shows promise for tailored health alerts, but this specific AI-driven, patient-level heat risk approach is relatively novel in this setting.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults aged 18 years or older attending the outpatient department of the selected tertiary-care hospital during the recruitment period. * Have a documented diagnosis of at least one chronic non-communicable disease associated with increased susceptibility to heat-related illness, including hypertension, type 2 diabetes mellitus, chronic kidney disease, cardiovascular disease, or obesity (BMI ≥30 kg/m²). * Have access to a personal smartphone capable of receiving study heat-risk alert notifications. * Be able to read Urdu or English, or have a household member/caregiver available to read and explain study alerts when required. * Be willing and able to provide written informed consent. * Intend to remain within the study catchment area for the duration of the six-week study period to facilitate follow-up. Exclusion Criteria: * Patients requiring immediate emergency treatment or hospital admission at the time of recruitment. * Individuals with severe cognitive impairment, dementia, psychotic illness, or another medical condition that limits their ability to understand study procedures or provide informed consent. * Patients with terminal illness or those receiving palliative care. * Individuals with severe visual, hearing, or communication impairments that prevent effective receipt of the study alert intervention and outcome assessment without a reliable caregiver. * Pregnant women, because pregnancy has distinct physiological responses to heat exposure and would require separate clinical risk stratification beyond the scope of this study. * Participants currently enrolled in another clinical trial or structured behavioral intervention related to heat-health, climate adaptation, or chronic disease self-management. * Participants who are unable or unwilling to comply with study procedures or complete the required follow-up assessment.
Where it's running
-
DHQ Teaching Hospital Gujranwala
Gujranwala, Punjab Province, Pakistan Recruiting
Study contacts
- Principal investigator: Shamaila Mohsin, PhD Public Health — Armed Forces Post Graduate Medical Institute, AFPGMI, NUMS, Rawalpindi
- Study coordinator: Mubra Noor, MS Public Health
- Email: mubranoor111@gmail.com
- Phone: +92- 321-6143378
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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.