Artificial Intelligence (AI), Climate Change, Fetal Health, Maternal Health, Midwifery
Conditions
Brief summary
This quasi-experimental pretest-posttest study aimed to evaluate the effect of artificial intelligence-assisted climate change education on pregnant women's climate change concerns and awareness. The study will be conducted with pregnant women attending a pregnancy school, and participants will be assigned to intervention and control groups. The intervention group will receive AI-supported climate change education in addition to routine training, while the control group will receive only routine education. Data will be collected using the Climate Change Anxiety Scale and the Maternal-Fetal Health Awareness of Climate Change Scale. The findings are expected to contribute to improving pregnant women's awareness and reducing concerns related to climate change through innovative educational approaches.
Interventions
OTHERIntervention 1
Participants in the intervention group will receive routine education provided in the Pregnancy School program in addition to an artificial intelligence-assisted educational video about climate change and its effects on maternal and fetal health. The education will be delivered during scheduled sessions, and participants will complete pretest and posttest assessments measuring climate change concerns and awareness.
OTHERControl
Participants in the control group will receive only the routine education provided in the Pregnancy School program without any additional artificial intelligence-assisted educational intervention. Pretest and posttest assessments will also be conducted in this group to evaluate climate change concerns and awareness.
Sponsors
Derya Kaya Senol
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to 35 Years
Healthy volunteers
Yes
Inclusion criteria
* Aged 18 years or older * In the second or third trimester of pregnancy * Able to speak Turkish * Willing to participate and provide informed consent
Exclusion criteria
* Presence of a high-risk pregnancy * Multiple pregnancy (e.g., twins or higher-order gestation) * Failure to complete either the pre-test or the post-test questionnaire(s)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in Climate Change Awareness Score (Pretest-Posttest) | From baseline (pretest conducted before the Pregnancy School session) to immediately after the session (posttest). | In this study, the Awareness Scale of the Effects of Climate Change on Maternal and Fetal Health in Pregnant Women (ASCC-MFH-PW) was used to assess pregnant women's awareness of the effects of climate change on maternal and fetal health. The scale consists of 21 items and three subdimensions ("General," "Maternal," and "Fetal"). Items are rated on a 5-point Likert scale ranging from "1 = Strongly disagree" to "5 = Strongly agree," and there are no reverse-coded items. The total score ranges from 21 to 105, with higher scores indicating greater awareness of the effects of climate change on maternal and fetal health among pregnant women. In the original validation study, the overall Cronbach's alpha coefficient ranged between 0.943 and 0.946, while the subscale coefficients ranged from 0.837 to 0.924 (Kısrık \& Avcıbay Vurgeç, 2022). |
Outcome results
None listed