Raw JSON
{'hasResults': False, 'derivedSection': {'miscInfoModule': {'versionHolder': '2025-12-24'}, 'conditionBrowseModule': {'meshes': [{'id': 'D011236', 'term': 'Prediabetic State'}, {'id': 'D010358', 'term': 'Patient Participation'}], 'ancestors': [{'id': 'D003920', 'term': 'Diabetes Mellitus'}, {'id': 'D044882', 'term': 'Glucose Metabolism Disorders'}, {'id': 'D008659', 'term': 'Metabolic Diseases'}, {'id': 'D009750', 'term': 'Nutritional and Metabolic Diseases'}, {'id': 'D004700', 'term': 'Endocrine System Diseases'}, {'id': 'D010342', 'term': 'Patient Acceptance of Health Care'}, {'id': 'D000074822', 'term': 'Treatment Adherence and Compliance'}, {'id': 'D015438', 'term': 'Health Behavior'}, {'id': 'D001519', 'term': 'Behavior'}]}}, 'protocolSection': {'designModule': {'phases': ['NA'], 'studyType': 'INTERVENTIONAL', 'designInfo': {'allocation': 'RANDOMIZED', 'maskingInfo': {'masking': 'SINGLE', 'whoMasked': ['OUTCOMES_ASSESSOR']}, 'primaryPurpose': 'PREVENTION', 'interventionModel': 'PARALLEL', 'interventionModelDescription': 'pilot group-randomized controlled trial'}, 'enrollmentInfo': {'type': 'ESTIMATED', 'count': 100}}, 'statusModule': {'overallStatus': 'ENROLLING_BY_INVITATION', 'startDateStruct': {'date': '2024-07-01', 'type': 'ACTUAL'}, 'expandedAccessInfo': {'hasExpandedAccess': False}, 'statusVerifiedDate': '2025-07', 'completionDateStruct': {'date': '2026-04', 'type': 'ESTIMATED'}, 'lastUpdateSubmitDate': '2025-07-09', 'studyFirstSubmitDate': '2024-04-05', 'studyFirstSubmitQcDate': '2024-04-05', 'lastUpdatePostDateStruct': {'date': '2025-07-14', 'type': 'ACTUAL'}, 'studyFirstPostDateStruct': {'date': '2024-04-10', 'type': 'ACTUAL'}, 'primaryCompletionDateStruct': {'date': '2026-04', 'type': 'ESTIMATED'}}, 'outcomesModule': {'primaryOutcomes': [{'measure': 'patient activation as assessed by the Patient Activation Measure Survey (PAM)', 'timeFrame': 'baseline, 6 months', 'description': 'measured by Patient Activation Measure (PAM) survey, a 13-item scale with 4 Likert response,s and scores ranging from 0 to 100 (higher score means higher activation level)'}], 'secondaryOutcomes': [{'measure': 'number of participants referred to Diabetes Prevention Program', 'timeFrame': 'baseline, 6 months', 'description': 'measured using electronic health record data'}, {'measure': 'number of participants prescribed metformin', 'timeFrame': 'baseline, 6 months', 'description': 'measured using electronic health record data'}, {'measure': 'percent of participants who make diet changes', 'timeFrame': 'baseline, 6 months', 'description': 'measured using survey developed by study team will assess what diet changes participants have made'}, {'measure': 'change in amount and frequency of physical activity', 'timeFrame': 'baseline, 6 months', 'description': 'measured using survey developed by study team will assess the change in amount and frequency of physical activity that participants have made'}]}, 'oversightModule': {'oversightHasDmc': False, 'isFdaRegulatedDrug': False, 'isFdaRegulatedDevice': False}, 'conditionsModule': {'conditions': ['PreDiabetes', 'Lifestyle, Healthy', 'Activation, Patient']}, 'descriptionModule': {'briefSummary': "The investigators overarching goal is to increase the percentage of patients engaging in diabetes prevention activities to reduce the incidence of diabetes. The investigators objective is to design and pilot test a prediabetes clinical decision support (CDS) tool in the electronic health record (EHR) that will assess the patient's activation level based on responses to a questionnaire. Based on the patient's assessed level of activation, the tool will generate several communication recommendations to guide clinicians in conversations related to prediabetes/lifestyle change and tailor recommendations about available resources (e.g., care manager, health coach, DPP) to support patient activation.", 'detailedDescription': "Patient activation, which incorporates elements of self-efficacy and readiness to change, is particularly important in managing conditions like pre-diabetes, where the mainstay of treatment is behavioral lifestyle change and self-management. Unfortunately, Primary Care Physicians (PCPs) often do not have adequate training on how to promote patient activation. Traditionally, patient decision aids are used in shared decision-making to help elicit patient preferences and guide treatment options. However, the guides primarily focus on reviewing treatment options rather than increasing patient activation, which is key to successful and efficient behavioral counseling. The Patient Activation Measure (PAM) is a widely used and validated patient-reported outcome measure for assessing patient activation. Studies have demonstrated that using PAM to tailor care to a patient's activation level decreased health service utilization while improving clinical outcomes like blood pressure and self-management behaviors.\n\nThe investigators overarching goal is to increase the percentage of patients engaging in diabetes prevention activities to reduce the incidence of diabetes. The investigators objective is to design and pilot test a pre-diabetes clinical decision support (CDS) tool in the electronic health record (EHR) that will assess the patient's activation level based on responses to a questionnaire. Based on the patient's assessed level of activation, the tool will generate several communication recommendations to guide clinicians in conversations related to pre-diabetes/lifestyle change and tailor recommendations about available resources (e.g., care manager, health coach, DPP) to support patient activation."}, 'eligibilityModule': {'sex': 'ALL', 'stdAges': ['ADULT', 'OLDER_ADULT'], 'minimumAge': '18 Years', 'healthyVolunteers': True, 'eligibilityCriteria': 'Inclusion Criteria:\n\n* prediabetes\n* patient at Johns Hopkins General Internal Medicine clinic at Green Spring Station\n* MyChart account\n\nExclusion Criteria:\n\n* history of diabetes\n* non-English speaker\n* severe intellectual disability or psychiatric comorbidities'}, 'identificationModule': {'nctId': 'NCT06358261', 'briefTitle': 'Study of a Diabetes Prevention Patient Activation Clinical Decision Support Tool', 'organization': {'class': 'OTHER', 'fullName': 'Johns Hopkins University'}, 'officialTitle': 'Pilot Study of a Diabetes Prevention Patient Activation Clinical Decision Support Tool', 'orgStudyIdInfo': {'id': 'IRB00433279'}, 'secondaryIdInfos': [{'id': 'R03DK135898', 'link': 'https://reporter.nih.gov/quickSearch/R03DK135898', 'type': 'NIH'}]}, 'armsInterventionsModule': {'armGroups': [{'type': 'ACTIVE_COMPARATOR', 'label': 'Intervention Arm (DPACT)', 'description': 'In this arm, patients will have at least 2 visits with the participants primary care doctor. Before each visit, participants will complete a patient activation survey. Results of the survey will be shared with the primary care doctor and entered into the medical record so that the Diabetes Prevention Patient Activation Clinical Decision Support Tool can be used by the participants doctor during the visit to discuss lifestyle management.', 'interventionNames': ['Behavioral: Diabetes Prevention Patient Activation Clinical Decision Support Tool']}, {'type': 'NO_INTERVENTION', 'label': 'Control Arm (Usual Care)', 'description': 'Patients in the control arm will follow the same visit schedule as the intervention arm. At the beginning of the study, participants will receive a handout on pre-diabetes which will include information on lifestyle changes and the benefits of joining a Diabetes Prevention Program. Before each visit, participants will complete a patient activation survey but the results will not be shared with the participants primary care doctor'}], 'interventions': [{'name': 'Diabetes Prevention Patient Activation Clinical Decision Support Tool', 'type': 'BEHAVIORAL', 'description': 'Diabetes Prevention Patient Activation Clinical Decision Support Tool will be used by the doctor during the visit to discuss lifestyle management', 'armGroupLabels': ['Intervention Arm (DPACT)']}]}, 'contactsLocationsModule': {'locations': [{'zip': '21093', 'city': 'Lutherville', 'state': 'Maryland', 'country': 'United States', 'facility': 'Johns Hopkins Internal Medicine at Green Spring Station', 'geoPoint': {'lat': 39.42122, 'lon': -76.62608}}], 'overallOfficials': [{'name': 'Eva Tseng, MD', 'role': 'PRINCIPAL_INVESTIGATOR', 'affiliation': 'Johns Hopkins University'}]}, 'ipdSharingStatementModule': {'ipdSharing': 'NO'}, 'sponsorCollaboratorsModule': {'leadSponsor': {'name': 'Johns Hopkins University', 'class': 'OTHER'}, 'collaborators': [{'name': 'National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)', 'class': 'NIH'}], 'responsibleParty': {'type': 'SPONSOR'}}}}