[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100517959":3},{"organization":4,"armGroups":7,"interventions":22,"overallOfficials":40,"centralContacts":44,"locations":52,"responsibleParty":66,"collaborators":69,"id":79,"slug":80,"hasResults":81,"nctId":82,"briefTitle":83,"officialTitle":84,"acronym":85,"eligibilityCriteria":86,"healthyVolunteers":81,"sex":87,"minAge":88,"maxAge":21,"enrollmentInfo":89,"targetDuration":21,"studyType":92,"phases":93,"briefSummary":95,"conditions":96,"keywords":101,"overallStatus":110,"whyStopped":21,"lastUpdateSubmitDate":111,"lastUpdatePostDateStruct":112,"startDateStruct":115,"completionDateStruct":117,"leadSponsor":119,"locationsCount":120},{"fullName":5,"class":6},"University of South Carolina","OTHER",[8,17],{"label":9,"type":10,"description":11,"interventionNames":12},"Intervention arm (Huduma Kwa Wakati)","EXPERIMENTAL","Within the catchment areas of 40 health facilities, 40 communities (\"clusters\"; 1 per catchment area) will be assigned to the intervention arm. 40 communities (\"clusters\"; 1 per catchment area) will be assigned to the control arm. 10 pregnant women in their last trimester of pregnancy will be enrolled from each cluster. Women enrolled from intervention clusters will receive all components of the Huduma Kwa Wakati intervention.",[13,14,15,16],"Behavioral: Huduma Kwa Wakati - Knowledge Intervention","Behavioral: Huduma Kwa Wakati - Reminders","Behavioral: Huduma Kwa Wakati - Incentives","Behavioral: Huduma Kwa Wakati - Service notifications",{"label":18,"type":19,"description":20,"interventionNames":21},"Control (Standard of care)","NO_INTERVENTION","Within the catchment areas of 40 health facilities, 40 communities (\"clusters\"; 1 per catchment area) will be assigned to the intervention arm. 40 communities (\"clusters\"; 1 per catchment area) will be assigned to the control arm. 10 pregnant women in their last trimester of pregnancy will be enrolled from each cluster. Women enrolled from control arm will receive baseline and follow-up assessments only.",null,[23,28,32,36],{"type":24,"name":25,"description":26,"armGroupLabels":27,"otherNames":21},"BEHAVIORAL","Huduma Kwa Wakati - Knowledge Intervention","Counseling scripts assessing and addressing child health-related knowledge gaps",[9],{"type":24,"name":29,"description":30,"armGroupLabels":31,"otherNames":21},"Huduma Kwa Wakati - Reminders","Reminders of upcoming well visit due dates, sent to the mother's mobile phone",[9],{"type":24,"name":33,"description":34,"armGroupLabels":35,"otherNames":21},"Huduma Kwa Wakati - Incentives","Conditional incentives for timely service receipt, tailored to each child's well visit schedule",[9],{"type":24,"name":37,"description":38,"armGroupLabels":39,"otherNames":21},"Huduma Kwa Wakati - Service notifications","Service notifications (e.g., related to stockouts or service non-availability), sent to the mother's mobile phone",[9],[41],{"name":42,"affiliation":5,"role":43},"Jan Ostermann, PhD","PRINCIPAL_INVESTIGATOR",[45,49],{"name":42,"role":46,"phone":47,"phoneExt":21,"email":48},"CONTACT","18037778747","jano@mailbox.sc.edu",{"name":50,"role":46,"phone":21,"phoneExt":21,"email":51},"Lavanya Vasudevan, PhD","lavanya.vasudevan@emory.edu",[53],{"facility":54,"status":21,"city":55,"state":21,"zip":21,"country":56,"countryCode":21,"cosmosGeoPoint":57,"geoPoint":62,"contacts":63},"National Institute for Medical Research","Dar es Salaam","Tanzania",{"type":58,"coordinates":59},"Point",[60,61],39.26951,-6.82349,{"lat":61,"lon":60},[64],{"name":65,"role":46,"phone":21,"phoneExt":21,"email":21},"Esther Ngadaya, MD, PhD",{"type":43,"investigatorFullName":67,"investigatorTitle":68,"investigatorAffiliation":5,"oldNameTitle":21,"oldOrganization":21},"Jan Ostermann","Associate Professor",[70,72,74,76],{"name":71,"class":6},"Duke University",{"name":73,"class":6},"Emory University",{"name":75,"class":6},"University of North Carolina",{"name":77,"class":78},"National Institute for Medical Research, Tanzania","OTHER_GOV","100517959","leveraging-community-health-workers-and-a-digital-health-system-to-improve-the-timeliness-of-child-well-visits-100517959",false,"NCT06024317","Leveraging Community Health Workers and a Digital Health System to Improve the Timeliness of Child Well Visits","Leveraging Community Health Workers and a Responsive Digital Health System to Improve Rates and Timeliness of Child Well Visits in the First Year of Life","MINT-II\u002FHKW","Inclusion Criteria for the Cross-sectional sample:\n\n* mothers of children ages 12-23 months\n* residing in the sampling area\n\nInclusion Criteria for the Longitudinal sample:\n\n* pregnant women in their last trimester of pregnancy\n* residing in the sampling area\n* expected to reside in the sampling area until the child reaches age 1 year\n\nExclusion Criteria:\n\n* Women who are not living in catchment areas of participating health facilities (which routinely provide maternal and child health services). Facilities must be operational, must have at least 2 community health workers, and must have reported at least 100 pregnancies or births in the year prior to study implementation.)","FEMALE","15 Years",{"count":90,"type":91},800,"ESTIMATED","INTERVENTIONAL",[94],"NA","The goal of this cluster-randomized type 1 effectiveness implementation hybrid trial is to evaluate whether a community health worker led, integrated digital health intervention (Huduma Kwa Wakati; \"Timely Services\" in Kiswahili) can improve rates of timely well visits and receipt of key recommended preventive interventions among children in their first year of life. The hypothesis is that Huduma Kwa Wakati will improve the timeliness and rates of completion of child well visits and receipt of recommended preventive services before age 1 year, compared to the standard of care. Researchers will compare outcomes among children enrolled from intervention clusters and no-intervention comparison clusters. Outcomes will also be compared to a cross-sectional retrospective comparison sample. This study will address the lack of rigorous evidence on the effectiveness of a community-based digital health intervention for promoting rates and timeliness of preventive service receipt among children from sub-Saharan Africa, and identify implementation strategies to facilitate the deployment of integrated community-based digital health interventions in low- and middle-income country settings.",[97,98,99,100],"Short Message Service (SMS)","Incentives","Knowledge, Attitudes, Practice","Preventive Services",[102,103,104,56,105,106,107,108,109],"Timeliness","Digital Health","Community Health Workers","Low and middle-income country","SMS reminder","Conditional incentive","Preventive services","Children","NOT_YET_RECRUITING","2025-12-18",{"date":113,"type":114},"2025-12-26","ACTUAL",{"date":116,"type":91},"2026-03-01",{"date":118,"type":91},"2027-07-31",{"name":5,"class":6},1]