[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Lynette Goh\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":45},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,1,0,[8],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":13,"acronym":4,"eligibilityCriteria":14,"healthyVolunteers":11,"sex":15,"minAge":16,"maxAge":17,"enrollmentInfo":18,"targetDuration":4,"studyType":21,"phases":22,"briefSummary":24,"conditions":25,"keywords":28,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":5},"100612370","preventing-diabetes-impact-of-an-emr-based-intervention-for-enhanced-pre-diabetes-management-in-primary-care-100612370",false,"NCT07252700","Preventing Diabetes: Impact of an EMR-Based Intervention for Enhanced Pre-Diabetes Management in Primary Care","Inclusion Criteria for study population (EMR based analytic cohort):\n\n* 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.\n* 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.\n* Individuals with a prior diagnosis of diabetes will be excluded.\n\nInclusion Criteria for patient surveys:\n\n* Adults aged 40-59 years\n* Diagnosed with prediabetes (impaired fasting glucose or impaired glucose tolerance)\n* Receiving routine follow-up care at NUP polyclinics\n* Able to provide written informed consent\n* Able to complete questionnaires in English\n\nExclusion criteria for patient surveys:\n\n* Prior diagnosis of diabetes mellitus or gestational diabetes\n* Severe acute or chronic liver or kidney disease\n* Pregnancy\n* Cognitive impairment\n* Inability to communicate in English\n\nInclusion Criteria for clinician surveys:\n\n* All clinicians that consult patients in National University Polyclinics\n* No exclusion criteria specified for clinicians","ALL","21 Years","59 Years",{"count":19,"type":20},6000,"ESTIMATED","INTERVENTIONAL",[23],"NA","The goal of this study is to find out if adding electronic medical record (EMR) prompts helps prevent people with pre-diabetes from developing diabetes. It will also look at how these prompts affect doctor and patient behaviors.\n\nThe main questions are:\n\nDoes it improve follow-up care, such as blood tests, referrals, and medication? Does the EMR prompt reduce the number of patients who progress to diabetes within six months?\n\nResearchers will compare clinics that use EMR prompts with clinics that do not.\n\nParticipants will:\n\nReceive usual care for pre-diabetes at their polyclinic In some clinics, doctors will see EMR prompts suggesting tests, referrals, and medication Complete surveys about their health and lifestyle at different time points",[26,27],"Pre Diabetes","Diabetes (DM)",[29,30,31,32],"prediabetes","primary care","electronic medical records (EMR)","OurPractice Advisories","RECRUITING","2026-01-12",{"date":36,"type":37},"2026-01-14","ACTUAL",{"date":39,"type":37},"2025-09-02",{"date":41,"type":20},"2028-03-31",{"name":43,"class":44},"Lynette Goh","OTHER",""]