[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100510680":3},{"organization":4,"armGroups":7,"interventions":19,"overallOfficials":25,"centralContacts":31,"locations":41,"responsibleParty":59,"collaborators":61,"id":66,"slug":67,"hasResults":68,"nctId":69,"briefTitle":70,"officialTitle":71,"acronym":72,"eligibilityCriteria":73,"healthyVolunteers":74,"sex":75,"minAge":12,"maxAge":12,"enrollmentInfo":76,"targetDuration":12,"studyType":79,"phases":80,"briefSummary":82,"conditions":83,"keywords":12,"overallStatus":44,"whyStopped":12,"lastUpdateSubmitDate":88,"lastUpdatePostDateStruct":89,"startDateStruct":92,"completionDateStruct":94,"leadSponsor":96,"locationsCount":97},{"fullName":5,"class":6},"Liverpool School of Tropical Medicine","OTHER",[8,13],{"label":9,"type":10,"description":11,"interventionNames":12},"Digital data linkage and scheduling ('C-it'): The \"C-it\" enhanced standard of care","NO_INTERVENTION","Linking facility to community digital data via linkage-app: Data between electronic Community Health Information System (eCHIS) and facility-based Kenya Electronic Medical Record (Kenya EMR) do not link. We do not have an existing digital data linkage module or app to track successful pregnancy referrals or allow the facility staff to view community contacts and vice versa. We will engage with national and county teams and software developers to build a digital data linkage module, linking eCHIS and Kenya EMR Maternal and Child Health (MCH) module.",null,{"label":14,"type":15,"description":16,"interventionNames":17},"The combined \"C-it DU-it\" intervention: community data use for ANC","EXPERIMENTAL","Combining \"C-it\" and work improvement teams (WITs) for community data use: We will establish and train integrated WITs in intervention sites consisting of community health members, health facility staff and community members and train them on how they will use linkage-app. The resultant combined \"C-it DU-it\" intervention has three building blocks:\n\nWe make the following assumptions about the building blocks at the bottom of figure 1.\n\n1. Building block 1: We assume that high-quality digital data that can trace the entire journey through pregnancy is accessible to CHVs\n2. Building block 2: We also assume that integrated work improvement teams (WITs) will have the right people around the table with clearly defined roles and responsibilities will use the data.\n3. Building block 3: Community ANC contacts will be implemented.",[18],"Other: The combined \"C-it DU-it\" intervention: community data use for ANC",[20],{"type":6,"name":14,"description":21,"armGroupLabels":22,"otherNames":23},"Combining data linkage (\"C-it\") with work improvement teams for community data use (\"DU-it\") to improve antenatal clinic uptake. Our short name C-it DU-it (pronounced \"see-it; do-it\") is an acronym intended to convey 'seeing' linked data (C-it) and 'doing' or acting on the data (DU-it)",[14],[24],"community data use (DU-it)",[26,29],{"name":27,"affiliation":5,"role":28},"Miriam Taegtmeyer, PhD","PRINCIPAL_INVESTIGATOR",{"name":30,"affiliation":5,"role":28},"Tom Wingfield, PhD",[32,37],{"name":33,"role":34,"phone":35,"phoneExt":12,"email":36},"Hellen C Barsosio, MD","CONTACT","+254724464507","hbarsosio@kemri.go.ke",{"name":38,"role":34,"phone":39,"phoneExt":12,"email":40},"Lilian Otiso, MD","+254722293139","lilian.otiso@lvcthealth.org",[42],{"facility":43,"status":44,"city":45,"state":12,"zip":12,"country":46,"countryCode":47,"cosmosGeoPoint":48,"geoPoint":53,"contacts":54},"KEMRI Centre for Global Health Research","RECRUITING","Homa Bay","Kenya","KE",{"type":49,"coordinates":50},"Point",[51,52],34.45714,-0.52731,{"lat":52,"lon":51},[55],{"name":56,"role":34,"phone":57,"phoneExt":12,"email":58},"Gerald N Ong'ayo, MD","+254737491526","gerald.ongayo@lstmed.ac.uk",{"type":60,"investigatorFullName":12,"investigatorTitle":12,"investigatorAffiliation":12,"oldNameTitle":12,"oldOrganization":12},"SPONSOR",[62,64],{"name":63,"class":6},"Kenya Medical Research Institute",{"name":65,"class":6},"LVCT Health","100510680","digital-data-linkage-and-scheduling-to-track-pregnancy-with-or-without-community-data-use-to-increase-antenatal-clinic-uptake-in-western-kenya-100510680",false,"NCT05929586","Digital Data Linkage and Scheduling to Track Pregnancy With or Without Community Data Use to Increase Antenatal Clinic Uptake in Western Kenya.","A Pragmatic Open-label, Community-based, Cluster Randomised Controlled Superiority Trial to Evaluate the Efficacy and Cost-effectiveness of Digital Data Linkage and Scheduling ('C-it') With or Without Community Data Use ('DU-it') to Increase Antenatal Clinic Uptake in Western Kenya.","C-it-DU-it","Inclusion Criteria:\n\n* Pregnant women of all ages willing to participate\n* Written informed consent\n* A resident of the study area (catchment area) for the duration of the pregnancy\n* Delivered and still within the 6-week post-partum period.\n\nExclusion Criteria:\n\n* Currently enrolled in another interventional study targeting pregnant women\n* Outside the 6-week post-partum period.",true,"FEMALE",{"count":77,"type":78},1440,"ESTIMATED","INTERVENTIONAL",[81],"NA","The investigators propose to increase ANC uptake through a health systems strengthening approach that links digital data platforms and trains community Work Improvement Teams (WITs) to use these data to identify problems and come up with local solutions. Our short name C-it DU-it (pronounced \"see-it; do-it\") is an acronym intended to convey 'seeing' linked data (C-it) and 'doing' or acting on the data (DU-it). The trial design is a 2-arm, cluster-randomised controlled superiority trial in Homa Bay County to determine the efficacy of 'C-it DU-it' intervention (data use arm) to increase ANC contacts when compared to the 'C-it' enhanced standard of care (control arm).",[84,85,86,87],"Health Systems","Electronic Community Health Information Systems","Antenatal Clinic Uptake","Pregnancy","2025-06-24",{"date":90,"type":91},"2025-06-27","ACTUAL",{"date":93,"type":91},"2024-11-29",{"date":95,"type":78},"2026-09-30",{"name":5,"class":6},1]