Objective:To assess the current level of acceptance of generative artificial intelligence (GAI) among maternal and infant care providers and to explore the factors influencing their acceptance.Methods:A convenience sampling method was used to survey 164 maternal and infant care providers from Beijing Hospital and China-Japan Friendship Hospital between March and May 2024. The survey instruments included a general information questionnaire, GAI Acceptance among Maternal and Infant Care Providers Scale, and Self-assessment Scales for Digital Technology Awareness and Self-assessment Scales for Digital Competence. Multiple linear regression analysis was conducted to identify influencing factors.Results:The total acceptance score of GAI among 164 participants was [181 (158, 200) ]. Multiple linear regression analysis showed that interest in GAI, digital technology awareness, and digital competence were significant influencing factors for GAI acceptance, with statistically significant differences ( P<0.05) . Conclusions:The level of GAI acceptance among maternal and infant care providers was relatively high. It is recommended to strengthen the promotion and training on the application and precautions of GAI, improve their digital competence and professional literacy, while fostering critical and independent thinking, to enhance the integration of GAI into maternal and infant care services.

Objective:To assess the current level of acceptance of generative artificial intelligence (GAI) among maternal and infant care providers and to explore the factors influencing their acceptance.Methods:A convenience sampling method was used to survey 164 maternal and infant care providers from Beijing Hospital and China-Japan Friendship Hospital between March and May 2024. The survey instruments included a general information questionnaire, GAI Acceptance among Maternal and Infant Care Providers Scale, and Self-assessment Scales for Digital Technology Awareness and Self-assessment Scales for Digital Competence. Multiple linear regression analysis was conducted to identify influencing factors.Results:The total acceptance score of GAI among 164 participants was [181 (158, 200) ]. Multiple linear regression analysis showed that interest in GAI, digital technology awareness, and digital competence were significant influencing factors for GAI acceptance, with statistically significant differences ( P<0.05) . Conclusions:The level of GAI acceptance among maternal and infant care providers was relatively high. It is recommended to strengthen the promotion and training on the application and precautions of GAI, improve their digital competence and professional literacy, while fostering critical and independent thinking, to enhance the integration of GAI into maternal and infant care services.