[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"leadSponsorName\":\"Mbarara University of Science and Technology\",\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:":106},{"pageToken":4,"total":5,"offset":6,"count":5,"results":7},null,3,0,[8,46,76],{"id":9,"slug":10,"hasResults":11,"nctId":12,"briefTitle":13,"officialTitle":14,"acronym":15,"eligibilityCriteria":16,"healthyVolunteers":11,"sex":17,"minAge":18,"maxAge":4,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":29,"overallStatus":33,"whyStopped":4,"lastUpdateSubmitDate":34,"lastUpdatePostDateStruct":35,"startDateStruct":38,"completionDateStruct":40,"leadSponsor":42,"locationsCount":45},"100598133","the-feasibility-and-acceptability-of-a-post-tuberculosis-lung-disease-diagnostic-algorithm-in-uganda-100598133",false,"NCT07067528","The Feasibility and Acceptability of a Post-tuberculosis Lung Disease Diagnostic Algorithm in Uganda.","The Feasibility and Acceptability of a Diagnostic Algorithm for Timely Post-tuberculosis Lung Disease Diagnosis at Primary Health Care Facilities in Mbarara, Uganda.","IMPULSE","Inclusion Criteria:\n\nA health facility must meet all of the following criteria to participate in the study.\n\n* Located within a 10 km radius of Mbarara Regional Referral Hospital (MRRH).\n* Has an operational TB clinic with at least one designated TB clinician or nurse.\n* Facility in-charge (or designated representative) provides written informed consent for participation.\n* Willing to implement the PTLD screening procedures and participate in biweekly follow-up communications.\n* Agrees to assign a contact staff member to coordinate trial-related activities.\n\nPatients screened at participating facilities must meet all of the following:\n\n* Aged ≥18 years.\n* Completed microbiologically confirmed treatment for pulmonary tuberculosis (TB).\n* Presenting with persistent or new respiratory symptoms following TB treatment completion.\n* Able and willing to provide written informed consent\n\nExclusion Criteria:\n\nA facility will be excluded if:\n\n* It declines to participate or cannot commit to consistent follow-up activities.\n* It lacks the minimum staff or infrastructure to carry out screening and referral procedures.\n* It was previously included in a similar PTLD-related intervention trial.\n\nA patient will be excluded if:\n\n* They did complete treatment for pulmonary TB or lack documentation of cure.\n* They have a previously confirmed diagnosis of an unrelated chronic respiratory condition (e.g., pulmonary malignancy, cystic fibrosis).\n* They were already referred or diagnosed with PTLD prior to this screening.","ALL","18 Years",{"count":20,"type":21},80,"ESTIMATED","INTERVENTIONAL",[24],"NA","The goal of this clinical trial is to determine whether a structured diagnostic algorithm improves the identification and referral of people with post-tuberculosis lung disease (PTLD) in primary healthcare facilities in Uganda. The clinical trial will, in addition, assess how feasible and acceptable it is for health workers to use this algorithm as part of routine care.\n\nThe main trial questions are:\n\n* Does the diagnostic algorithm increase identification and referral of patients with suspected PTLD compared to standard care?\n* Is the algorithm feasible to implement and acceptable to health providers and patients in real-world primary health care settings?\n\nThe research team will compare four health centre level III (HCIII) facilities ( two using the diagnostic algorithm and two using standard care) to see if the algorithm helps with early diagnosis and referral of PTLD. Health centre level III in Uganda are the primary health facilities and have provision for tuberculosis treatment.\n\nParticipants will be screened for PTLD at the time they complete tuberculosis treatment at their local health facility.\n\nAt intervention sites, participants will undergo assessment using a structured PTLD diagnostic algorithm developed in earlier stages of this research. The algorithm will be based on a symptom questionnaire and clinical criteria. At control sites, participants will be evaluated using standard practices (consensus clinical definition only).\n\nParticipants clinically suspected to have PTLD. will be referred to Mbarara Regional Referral Hospital.\n\nPrimary care health facilities will:\n\n* Be randomly assigned to use either the diagnostic algorithm or standard care.\n* Receive a baseline training on PTLD and ongoing support through monthly video conference\n* Submit triplicate referral forms to track referrals.",[27,28],"Post Pulmonary Tuberculosis","Post-Tuberculous Bronchiectasis",[30,31,32],"tuberculosis","bronchiectasis","fibrosis","NOT_YET_RECRUITING","2025-07-12",{"date":36,"type":37},"2025-07-16","ACTUAL",{"date":39,"type":21},"2026-09-01",{"date":41,"type":21},"2029-08-31",{"name":43,"class":44},"Mbarara University of Science and Technology","OTHER",1,{"id":47,"slug":48,"hasResults":11,"nctId":49,"briefTitle":50,"officialTitle":51,"acronym":52,"eligibilityCriteria":53,"healthyVolunteers":54,"sex":17,"minAge":55,"maxAge":4,"enrollmentInfo":56,"targetDuration":4,"studyType":22,"phases":58,"briefSummary":59,"conditions":60,"keywords":62,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":71,"completionDateStruct":73,"leadSponsor":75,"locationsCount":45},"100558042","a-social-media-intervention-to-improve-retention-in-care-for-adolescents-and-young-adults-with-hiv-in-uganda-100558042","NCT06545968","A Social Media Intervention to Improve Retention in Care for Adolescents and Young Adults With HIV in Uganda","Retention Through mHealth for Adolescents and Young Adults With HIV in Care","REMAIN","The eligibility criteria is as follows:\n\nFor adolescents and young adults with HIV (AYWH)\n\n1. AYWH who are aged 15-24\n2. AYWH who are new to care (less than or equal to one month in care), or who are re-engaging in care after being lost to follow up for greater or equal to six months.\n3. Fluent in English or Runyankole (the local language)\n4. For aim 3, AYWH who have access (own or shared) to a smartphone\n\nExclusion criteria for AYWH 1) Inability to provide consent\n\nFor counsellors Inclusion criteria\n\n1. Clinic counsellors who are ≥18 years\n2. Clinic counsellors who have worked at the HIV clinic for ≥ 1 year\n\nExclusion criteria\n\n1\\) Inability to provide consent",true,"15 Years",{"count":57,"type":21},105,[24],"Adolescents and young adults with HIV (AYWH) aged 15- 24 years are the fastest-growing population of people living with HIV worldwide. AYWH have worse outcomes along the HIV continuum of care than adults with HIV; HIV\u002FAIDS is the second leading cause of mortality and the fourth leading cause of disability among AYWH worldwide. This study will develop a youth-friendly, mobile health (mHealth) intervention to improve retention in care that has the potential to improve AIDS-related mortality and morbidity among AYWH and decrease onward new transmission, thus contributing towards ending the HIV\u002FAIDS pandemic.",[61],"Adolescent Behavior",[63,64,65,66],"Adolescents and young adults","HIV","mHealth","Retention in care","RECRUITING","2025-05-14",{"date":70,"type":37},"2025-05-18",{"date":72,"type":37},"2024-10-25",{"date":74,"type":21},"2028-01-30",{"name":43,"class":44},{"id":77,"slug":78,"hasResults":11,"nctId":79,"briefTitle":80,"officialTitle":81,"acronym":82,"eligibilityCriteria":83,"healthyVolunteers":54,"sex":17,"minAge":84,"maxAge":85,"enrollmentInfo":86,"targetDuration":4,"studyType":22,"phases":88,"briefSummary":89,"conditions":90,"keywords":92,"overallStatus":67,"whyStopped":4,"lastUpdateSubmitDate":97,"lastUpdatePostDateStruct":98,"startDateStruct":100,"completionDateStruct":102,"leadSponsor":104,"locationsCount":105},"100511545","mobile-health-intervention-support-moms-in-antenatal-care-to-improve-maternal-health-in-uganda-100511545","NCT05940831","Mobile Health Intervention (Support-moms) in Antenatal Care to Improve Maternal Health in Uganda","Integration of a Patient-centered Mobile Health Intervention (Support-moms) Into Routine Antenatal Care to Improve Maternal Health in Uganda.","Support-Moms","Inclusion Criteria:\n\nIndividuals who:\n\n* are in the first trimester of pregnancy who have not yet presented for ANC\n* reside in the catchment area of a study HC\n* are emancipated minors and adults aged ≥ 18 years\n* report access to a cell phone with reception in their home\n* are able to identify at least two social supporters living within the study districts\n* are able to provide consent.\n* are from participants' existing social support network, with whom they have had stable, long-term relationships\n\nExclusion Criteria:\n\nParticipants will be excluded from the study if they:\n\n* do not own a cell phone for personal use with reported reliable reception\n* are unable to use SMS or unwilling to receive SMS notifications\n\nPotential social supporters will be excluded from the study if they:\n\n* are under 18 years of age\n* do not own a cell phone for personal use with reported reliable reception\n* are unable to use SMS or unwilling to receive SMS notifications\n* have not had stable, long-term relationships with the participants\n* are not aware that the study participant is pregnant","10 Years","65 Years",{"count":87,"type":21},1680,[24],"High maternal mortality is a major public health problem in many settings. Because of low antenatal care (ANC) and skilled birth usage, Ugandan women and their children suffer from high maternal and perinatal mortality. The investigators developed a promising intervention (Support-Moms app) that shares targeted health information, and engages social support networks through scheduled reminders to help support pregnant women to utilize maternity services in rural Uganda. The investigators now propose to test and implement the Support-Moms intervention and hypothesize that Support-Moms will be feasible and cost-effective in improving utilization of available maternity care services, and ultimately reduce maternal and perinatal mortality.",[91],"Maternal Health",[93,94,95,96],"mhealth","antenatal care","social support","healthcare utilization","2024-08-02",{"date":99,"type":37},"2024-08-05",{"date":101,"type":37},"2024-05-01",{"date":103,"type":21},"2028-07-30",{"name":43,"class":44},2,""]