[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"health-study-detail:100559813":3},{"organization":4,"armGroups":7,"interventions":24,"overallOfficials":18,"centralContacts":32,"locations":18,"responsibleParty":38,"collaborators":18,"id":42,"slug":43,"hasResults":44,"nctId":45,"briefTitle":46,"officialTitle":47,"acronym":18,"eligibilityCriteria":48,"healthyVolunteers":44,"sex":49,"minAge":50,"maxAge":18,"enrollmentInfo":51,"targetDuration":18,"studyType":54,"phases":55,"briefSummary":57,"conditions":58,"keywords":63,"overallStatus":67,"whyStopped":18,"lastUpdateSubmitDate":68,"lastUpdatePostDateStruct":69,"startDateStruct":72,"completionDateStruct":74,"leadSponsor":76,"locationsCount":18},{"fullName":5,"class":6},"Kafkas University","OTHER",[8,14,19],{"label":9,"type":10,"description":11,"interventionNames":12},"1) Artificial intelligence supported working group","EXPERIMENTAL","Pregnant women in the artificial intelligence-supported study group were aged 32-37. Starting from the first week of pregnancy, a mobile breastfeeding consultancy application supported by IOS and Android will be installed on smart phones.",[13],"Other: 1) Artificial intelligence supported working group",{"label":15,"type":16,"description":17,"interventionNames":18},"3) Observation group","NO_INTERVENTION","32-37 in the observation group. A breastfeeding education booklet will be given to primiparous pregnant women at the gestational age.",null,{"label":20,"type":10,"description":21,"interventionNames":22},"2)Nurse-led online breastfeeding counseling group","32-37. Primiparous pregnant women at the gestational age will be offered 1.5 hours of breastfeeding counseling by one of the researchers, between the 32nd and 37th weeks of pregnancy, with the participation of small groups of five pregnant women in each interactive session.",[23],"Other: Online breastfeeding counseling group led by a nurse",[25,28],{"type":6,"name":9,"description":26,"armGroupLabels":27,"otherNames":18},"Pregnant women will be a personal information form, breastfeeding diagnosis and evaluation scale, postnatal breastfeeding self-efficacy scale, Lowa infant nutrition attitude scale and Edinburgh postpartum depression scale. Pregnant women in the artificial intelligence-supported study group were aged 32-37. Starting from the first week of pregnancy, a mobile breastfeeding consultancy application supported by IOS and Android will be installed on smart phones. Pregnant women will be expected to use this application actively until birth and submit their questions about breastfeeding to this artificial intelligence-supported mobile application and receive instant answers. After these applications, the breastfeeding diagnosis and evaluation scale, postnatal breastfeeding self-efficacy scale, Lowa baby nutrition attitude scale and Edinburgh postpartum depression scale will be applied again to pregnant women on the first postpartum day, sixth day, third week and third month.",[9],{"type":6,"name":29,"description":30,"armGroupLabels":31,"otherNames":18},"Online breastfeeding counseling group led by a nurse","The forms that will be applied to pregnant women in all three groups at the first meeting will also be applied to this group. 32-37 in the nurse-led online breastfeeding counseling group. Primiparous pregnant women at the gestational age will be offered 1.5 hours of breastfeeding counseling by one of the researchers, between the 32nd and 37th weeks of pregnancy, with the participation of small groups of five pregnant women in each interactive session. Pregnant women in this group will receive only one session of breastfeeding training. These trainings, which will be given by the nurse, will be carried out online via video call via WhatsApp application. After these applications, the breastfeeding diagnosis and evaluation scale, postnatal breastfeeding self-efficacy scale, Lowa baby nutrition attitude scale and Edinburgh postpartum depression scale will be applied again to pregnant women on the first postpartum day, sixth day, third week and third month.",[20],[33],{"name":34,"role":35,"phone":36,"phoneExt":18,"email":37},"zehra coktay","CONTACT","+905432035243","zehracoktay1@gmail.com",{"type":39,"investigatorFullName":40,"investigatorTitle":41,"investigatorAffiliation":5,"oldNameTitle":18,"oldOrganization":18},"PRINCIPAL_INVESTIGATOR","Rukiye Turk Delibalta","associate professor dr.","100559813","the-effect-of-artificial-intelligence-supported-and-nurse-led-online-breastfeeding-counseling-100559813",false,"NCT06569017","The Effect of Artificial Intelligence Supported and Nurse-Led Online Breastfeeding Counseling","The Effect of Artificial Intelligence Supported and Nurse-Led Online Breastfeeding Counseling on Mothers' Breastfeeding Competence: A Randomized Controlled Study","Inclusion Criteria:\n\n* The pregnant woman is willing to participate in the research,\n* The pregnant woman must have an informed written voluntary consent form,\n* The pregnant woman is over 18 years of age,\n* The pregnant woman speaks and understands Turkish,\n* Having the pregnant woman\\'s first baby (primiparous),\n* The pregnant woman is planning to give birth in the hospital where she came for pregnancy check-up,\n* The pregnant woman must have received breastfeeding training at the family health center to which she is affiliated.\n* The baby does not have a disease that would prevent sucking (cleft palate, cleft lip, etc.),\n* The baby is born older than the 37th week of pregnancy,\n* The baby\\'s birth weight is 2500 g and above, and the APGAR score is 7 and above at the 5th minute.\n\nExclusion Criteria:\n\n* The pregnant woman has mental retardation that affects her ability to understand and comprehend,\n* Multiple pregnancy,\n* The pregnant woman has gestational disorders such as preeclampsia, eclampsia and a history of gestational diabetes,\n* The pregnant woman has a diagnosed psychiatric disorder,\n* The pregnant woman receives support from a private breastfeeding consultant,\n* Taking the baby to the neonatal intensive care unit after birth,\n* The baby is born before the 37th week of pregnancy,\n* Loss of communication with pregnant women who were contacted before birth, after birth,\n* Pregnant women who do not use smartphones,\n* Pregnant women who have an application installed on their phones but have never used the application until the birth,\n* Pregnant women who were given an educational booklet but did not look at the booklet until the birth,\n* Pregnant women who do not attend the 1.5-hour training or who have to leave the training halfway will be excluded.","FEMALE","18 Years",{"count":52,"type":53},90,"ESTIMATED","INTERVENTIONAL",[56],"NA","Breastfeeding is the gold standard in infant nutrition in the first 12 months of life (1). Breastfeeding self-efficacy perception is one of the most important factors affecting mothers\\' breastfeeding duration and success in the postpartum period (2,3).Although AI has traditionally been the domain of powerful mainframes and data centers, new approaches have the capacity to put the power of AI directly into the hands of patients (4).Therefore, considering the importance of breastfeeding education and counseling, this study will determine the effect of training and use of a mobile application-supported artificial intelligence tool and nurse-led online breastfeeding counseling on mothers; breastfeeding self-efficacy perception, breastfeeding success, infant feeding attitude and postpartum depression levels. Thus, the effectiveness of the artificial intelligence tool and nurse-led breastfeeding counseling will be compared.",[59,60,61,62],"Artificial Intelligence","Nursing Caries","Breastfeeding","Breast Feeding, Exclusive",[64,65,66],"artificial intelligence","nurse led","breastfeeding","NOT_YET_RECRUITING","2024-08-21",{"date":70,"type":71},"2024-08-23","ACTUAL",{"date":73,"type":53},"2024-09-01",{"date":75,"type":53},"2025-12-01",{"name":5,"class":6}]