The Effect of Artificial Intelligence Supported and Nurse-Led Online Breastfeeding Counseling
Launched by KAFKAS UNIVERSITY · Aug 21, 2024
Trial Information
Current as of July 23, 2025
Not yet recruiting
Keywords
ClinConnect Summary
This clinical trial is studying how an artificial intelligence (AI) tool, combined with support from nurses through online breastfeeding counseling, can help new mothers with breastfeeding. The goal is to see if this approach improves mothers' confidence in breastfeeding, their overall success in breastfeeding, their attitudes towards feeding their babies, and even their feelings of postpartum depression. By comparing the experiences of mothers who use this AI tool and those who receive traditional counseling, the researchers hope to find new ways to support breastfeeding.
To participate in this trial, mothers need to be pregnant with their first baby, at least 18 years old, and able to speak and understand Turkish. They should also plan to give birth at the hospital where they are receiving their pregnancy check-ups and have already received some breastfeeding training. Participants can expect to use a mobile app along with online support from nurses to help guide them through the breastfeeding process. It's important to note that certain conditions, such as having twins or other health issues, may exclude some mothers from participating.
Gender
FEMALE
Eligibility criteria
- Inclusion Criteria:
- • The pregnant woman is willing to participate in the research,
- • The pregnant woman must have an informed written voluntary consent form,
- • The pregnant woman is over 18 years of age,
- • The pregnant woman speaks and understands Turkish,
- • Having the pregnant woman\'s first baby (primiparous),
- • The pregnant woman is planning to give birth in the hospital where she came for pregnancy check-up,
- • The pregnant woman must have received breastfeeding training at the family health center to which she is affiliated.
- • The baby does not have a disease that would prevent sucking (cleft palate, cleft lip, etc.),
- • The baby is born older than the 37th week of pregnancy,
- • The baby\'s birth weight is 2500 g and above, and the APGAR score is 7 and above at the 5th minute.
- Exclusion Criteria:
- • The pregnant woman has mental retardation that affects her ability to understand and comprehend,
- • Multiple pregnancy,
- • The pregnant woman has gestational disorders such as preeclampsia, eclampsia and a history of gestational diabetes,
- • The pregnant woman has a diagnosed psychiatric disorder,
- • The pregnant woman receives support from a private breastfeeding consultant,
- • Taking the baby to the neonatal intensive care unit after birth,
- • The baby is born before the 37th week of pregnancy,
- • Loss of communication with pregnant women who were contacted before birth, after birth,
- • Pregnant women who do not use smartphones,
- • Pregnant women who have an application installed on their phones but have never used the application until the birth,
- • Pregnant women who were given an educational booklet but did not look at the booklet until the birth,
- • Pregnant women who do not attend the 1.5-hour training or who have to leave the training halfway will be excluded.
About Kafkas University
Kafkas University is a leading academic institution dedicated to advancing medical research and clinical knowledge. With a strong emphasis on innovation and collaboration, the university sponsors a range of clinical trials aimed at improving patient outcomes and enhancing healthcare practices. Committed to ethical research standards and rigorous scientific methodologies, Kafkas University provides a robust framework for conducting clinical studies that address pressing health challenges. Through its multidisciplinary approach, the university fosters partnerships with healthcare professionals, researchers, and industry stakeholders to translate findings into effective treatments and interventions.
Contacts
Jennifer Cobb
Immunology at National Institute of Allergy and Infectious Diseases (NIAID)
Locations
Patients applied
Timeline
First submit
Trial launched
Trial updated
Estimated completion
Not reported