[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-studies-list:{\"conditionNormalized\":\"prenatal-disorder\",\"overallStatus\":[\"RECRUITING\",\"AVAILABLE\",\"NOT_YET_RECRUITING\"],\"orderBy\":\"LastUpdateSubmitDate:desc\",\"size\":25,\"offset\":0}":3,"health-study-condition:prenatal-disorder":27},{"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":14,"eligibilityCriteria":15,"healthyVolunteers":11,"sex":16,"minAge":17,"maxAge":18,"enrollmentInfo":19,"targetDuration":4,"studyType":22,"phases":23,"briefSummary":25,"conditions":26,"keywords":28,"overallStatus":34,"whyStopped":4,"lastUpdateSubmitDate":35,"lastUpdatePostDateStruct":36,"startDateStruct":39,"completionDateStruct":41,"leadSponsor":43,"locationsCount":46},"100545494","engaging-patients-in-prenatal-genetic-testing-decisions-as-a-pathway-to-improve-obstetric-outcomes-100545494",false,"NCT06382636","Engaging Patients in Prenatal Genetic Testing Decisions as a Pathway to Improve Obstetric Outcomes","OPUS","Inclusion Criteria:\n\n* Able to read and speak English\n* Able to provide consent to participate in the study\n* Offered routine aneuploidy screening and diagnostic testing\n\nExclusion Criteria:\n\n* Less than 18 years of age\n* Not currently pregnant or an intrauterine pregnancy has not yet been established\n* Unable to provide informed consent for research participation\n* Unable to read and speak English","FEMALE","18 Years","50 Years",{"count":20,"type":21},600,"ESTIMATED","INTERVENTIONAL",[24],"NA","The goal of this study is to ensure that pregnant patients have the resources and support needed to access Prenatal Screening \\& Diagnostic Testing (PS\\&D) in an informed and evidence-based fashion by developing an innovative digital tool to support patients' decision-making and contributing fundamental knowledge to advance science in a way that promotes patients' access to new prenatal applications of genomic science and technology. Our central hypothesis is that, by focusing on patient engagement as a key driver to improve patient outcomes, the use of an evidence-based artificial-intelligence (AI) powered patient engagement tool will increase patients' ability to seek information and structure a decision-making process that, in turn, increases informed decisions about PS\\&D and decreases decisional conflict associated with those decisions.\n\nUsing data from NEST (Ensuring Patients Informed Access to NIPT \\[non-invasive prenatal testing\\]), the investigators designed the next iteration of NEST, a point-of care shared decision-making tool powered by artificial intelligence (AI) to provide a personalized and dynamic decision support tool: Obstetric Prenatal Genetic Testing Engagement Solution (OPUS). OPUS is an AI-enabled healthcare chatbot (a computer program capable of processing and simulating human conversation) that provides patients with personalized information and decision-making support at different stages of the PS\\&D pathway. It functions using a series of questions contained in the NEST with a branching logic sequence of questions and answers based on the responses to and from the patient, using a conversational and adaptable interaction. It also contains nested tiers of information, ranging from introductory to detailed information about patient engagement, health literacy, the different PS\\&D options, and resources to learn about insurance coverage for PS\\&D. OPUS was designed to be accessed by patients with different technological resources and preferences, using a cell phone, a mobile device, or a computer.",[27],"Prenatal Disorder",[29,30,31,32,33],"Prenatal Genetic Screening","Prenatal Diagnostic Testing","Shared Decision Making","Informed Choice","Decisional Regret","RECRUITING","2026-07-31",{"date":37,"type":38},"2026-08-03","ACTUAL",{"date":40,"type":38},"2024-05-06",{"date":42,"type":21},"2027-02-28",{"name":44,"class":45},"The Cleveland Clinic","OTHER",3]