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A Study on Pregnant Women’s Intention to Use Artificial Intelligence: Current Status and Influencing Factors Based on TAM and Perceived Risk Theory

A Study on Pregnant Women’s Intention to Use Artificial Intelligence: Current Status and Influencing Factors Based on TAM and Perceived Risk Theory

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113712
Enrollment
Unknown
Registered
2025-12-02
Start date
2025-08-01
Completion date
Unknown
Last updated
2025-12-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Preliminary questionnaire screening in the first phase:None
Expert - Inquiry Letter:None
Medical Staff - Interview:None
Quantitative questionnaire survey in the second phase:None
Pregnant Woman - Interview:None

Sponsors

Peking University Shenzhen Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. First Stage: Questionnaire Development Phase Experts: (1) Hold an associate senior title or above; (2) Have at least 10 years of professional experience in artificial intelligence, maternal and child health management, or related fields; (3) Possess a bachelor’s degree or higher; (4) Priority will be given to those who have experience in questionnaire development or evaluation; (5) Able to fully participate in group discussion meetings. Pregnant Women (participating in the pilot testing of the questionnaire): (1) Currently pregnant; (2) Aged 18 years or older; (3) Capable of independently reading and understanding Chinese characters, and able to complete the questionnaire independently; (4) Voluntarily participating in the study and having signed the informed consent form. 2. Second Stage: Questionnaire Survey Phase Pregnant Women: (1) Currently pregnant and receiving prenatal care at the obstetrics clinics of three hospitals; (2) Aged 18 years or older; (3) Possess basic ability to read and understand Chinese characters, capable of independently completing the questionnaire; (4) Voluntarily participating in the study and having signed the informed consent form. 3. Third Stage: Qualitative Interview Phase Pregnant Women: (1) Have participated in the second-stage questionnaire survey and agreed to take part in follow-up interviews; (2) Have experience using or understanding AI-based prenatal services; (3) Able to express themselves clearly and willing to share personal thoughts and experiences; (4) Have signed the interview informed consent form. Healthcare Providers: (1) From the obstetrics clinics of two hospitals, including clinical doctors, nurses, midwives, and other relevant roles; (2) Have at least 3 years of experience in maternal healthcare management; (3) Familiar with the application of artificial intelligence in healthcare services; (4) Voluntarily participating in the interviews and having signed the informed consent form.

Exclusion criteria

Exclusion criteria: 1.Phase 1: Questionnaire Development Stage Experts: (1) Those unable to attend the on-site discussion meeting; 2.(2) Those whose professional fields are not relevant to this research. Pregnant women: (1) Those with severe pregnancy complications or those requiring hospitalization; 3.(2) Those with mental disorders or obvious cognitive impairments and unable to express themselves independently; 4.(3) Those with visual or hearing impairments that significantly affect the quality of questionnaire completion. Phase 2: Questionnaire Survey Stage, the same as Phase 1. Phase 3: Qualitative Interview Stage Pregnant women and medical staff: (1) Those who do not accept audio recording; 5.(2) Those with language or expression disorders that affect the smooth progress of the interview; 6.(3) Those who withdraw from the study during the process or fail to complete the main content of the interview.

Design outcomes

Primary

MeasureTime frame
The level of willingness to use artificial intelligence health information services among pregnant women;Perceived Ease of Use;Perceived Usefulness;Perceived Risk;Trust;

Secondary

MeasureTime frame
Electronic health literacy;

Countries

China

Contacts

Public ContactXu Jiaqing

Peking University Shenzhen Hospital

33232237@qq.com+86 13925231229

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026