[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"National University of Medical Sciences, Pakistan\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":78},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,2,0,[8,48],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":19,"enrollmentInfo":20,"targetDuration":4,"studyType":23,"phases":24,"briefSummary":26,"conditions":27,"keywords":29,"overallStatus":35,"whyStopped":4,"lastUpdateSubmitDate":36,"lastUpdatePostDateStruct":37,"startDateStruct":40,"completionDateStruct":42,"leadSponsor":44,"locationsCount":47},"100655620","effectiveness-of-urdiacare-100655620",false,"NCT07814742","Effectiveness of UrDiaCare","Effectiveness of UrDiaCare: A Knowledge-Grounded Urdu Large Language Diabetes Management Application on Glycaemic Control Self Management Among Adults With Type 2 Diabetes in Pakistan: A Randomised Controlled Trial","UrDiaCare","Inclusion Criteria:\n\nAdults aged 30-70 years with T2DM confirmed ≥ 6 months (clinical record) and HbA1c ≥ 7.5% at screening\n\n* Currently prescribed oral antidiabetic medication(s) for ≥ 3 months\n* Personal ownership and regular daily use of a functioning smartphone (Android\u002FiOS)\n* Able to read and understand Urdu\n* Available for the full 4-month study period and willing to provide written informed consent -\n\nExclusion Criteria:\n\nType 1, gestational, or secondary diabetes (e.g., steroid-induced, MODY)\n\n* Current insulin therapy (to avoid confounding from differing self-management complexity)\n* Severe, uncorrectable comorbidity likely to materially affect glycemic control or survival within 4 months (e.g., end-stage renal disease, active malignancy, liver failure)\n* Significant cognitive impairment or psychiatric disorder precluding informed consent or technology use\n* Participation in another diabetes clinical trial within the preceding 3 months\n* Insufficient Urdu reading proficiency, as the UrDiaCare interface is Urdu-script based","ALL","30 Years","70 Years",{"count":21,"type":22},406,"ESTIMATED","INTERVENTIONAL",[25],"NA","The goal of this clinical trial is to learn if UrDiaCare, an Urdu-language diabetes support tool, can help adults with type 2 diabetes manage their Diabetes and improve blood sugar levels. The study will include adults aged 30 to 70 years with type 2 diabetes and higher-than-recommended blood sugar levels. The main question is whether UrDiaCare can lower HbA1c, a blood test that shows average blood sugar levels over the past few months, after four months.\n\nResearchers will compare UrDiaCare plus standard diabetes care with standard diabetes care plus a single Urdu educational pamphlet. UrDiaCare provides diabetes self-management education and support through WhatsApp\u002FAndroid. It uses a fixed, health-professional-reviewed information library and does not provide diagnosis or prescribe treatment.",[28],"Diabetes Mellitus Type 2",[30,31,32,33,34],"Diabetes self-management","Glycemic control","Type 2 Diabetes Mellitus","Conversational artificial intelligence","Diabetes Self-Care","NOT_YET_RECRUITING","2026-09-18",{"date":38,"type":39},"2026-09-21","ACTUAL",{"date":41,"type":22},"2026-09-15",{"date":43,"type":22},"2027-01-31",{"name":45,"class":46},"National University of Medical Sciences, Pakistan","OTHER",1,{"id":49,"slug":50,"hasResults":11,"nctId":51,"briefTitle":52,"officialTitle":53,"acronym":54,"eligibilityCriteria":55,"healthyVolunteers":11,"sex":17,"minAge":56,"maxAge":4,"enrollmentInfo":57,"targetDuration":4,"studyType":23,"phases":59,"briefSummary":60,"conditions":61,"keywords":64,"overallStatus":69,"whyStopped":4,"lastUpdateSubmitDate":70,"lastUpdatePostDateStruct":71,"startDateStruct":73,"completionDateStruct":75,"leadSponsor":77,"locationsCount":47},"100656329","ai-assisted-personalized-heat-risk-alerts-100656329","NCT07825831","AI-Assisted Personalized Heat-Risk Alerts","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","HEAT-CARE","Inclusion Criteria:\n\n* Adults aged 18 years or older attending the outpatient department of the selected tertiary-care hospital during the recruitment period.\n* 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\u002Fm²).\n* Have access to a personal smartphone capable of receiving study heat-risk alert notifications.\n* Be able to read Urdu or English, or have a household member\u002Fcaregiver available to read and explain study alerts when required.\n* Be willing and able to provide written informed consent.\n* Intend to remain within the study catchment area for the duration of the six-week study period to facilitate follow-up.\n\nExclusion Criteria:\n\n* Patients requiring immediate emergency treatment or hospital admission at the time of recruitment.\n* Individuals with severe cognitive impairment, dementia, psychotic illness, or another medical condition that limits their ability to understand study procedures or provide informed consent.\n* Patients with terminal illness or those receiving palliative care.\n* Individuals with severe visual, hearing, or communication impairments that prevent effective receipt of the study alert intervention and outcome assessment without a reliable caregiver.\n* Pregnant women, because pregnancy has distinct physiological responses to heat exposure and would require separate clinical risk stratification beyond the scope of this study.\n* Participants currently enrolled in another clinical trial or structured behavioral intervention related to heat-health, climate adaptation, or chronic disease self-management.\n* Participants who are unable or unwilling to comply with study procedures or complete the required follow-up assessment.","18 Years",{"count":58,"type":22},120,[25],"This two-arm randomized controlled trial will evaluate whether an artificial intelligence-assisted personalized heat-risk alert system reduces heat-related illness symptom burden among adults with chronic conditions. The intervention will integrate prespecified clinical characteristics with the Pakistan Meteorological Department's same-day forecast maximum temperature to classify individual heat-related acute clinical-event risk and deliver personalized alerts through a mobile application. The control group will receive a generic PMD heat-health advisory through the same application.",[62,63],"Heat-related Illness","Chronic Disease",[65,66,67,68],"Heat-Health Warning Systems","Heat-Related Illness","Chronic Diseases","Artificial Intelligence","RECRUITING","2026-09-12",{"date":72,"type":39},"2026-09-17",{"date":74,"type":39},"2026-09-01",{"date":76,"type":22},"2026-10-30",{"name":45,"class":46},""]