The Influence of Mobile Health Intervention on the Rate of Prenatal Diagnosis and Pregnancy Outcomes among Pregnant Women with High-Risk Prenatal Screening Results: protocol for a randomized controlled trial

Jie Wang¹Jing Wang²Yang Jiang³Yaxian Liu¹Rantong Bao⁴Hong Wang⁵Yan Huang¹Jing An¹Xiaohua Wang^1*Fei Wang^6,7*

• ¹Department of Genetics, Inner Mongolia Maternal and Child Health Care Hospital, Huhhot, China
• ²School of Public Health, Peking University, Beijing, China
• ³Jitang College, North China University of Science and Technology, Tangshan, Hebei Province, China
• ⁴Department of Quality Management, Affiliated Hospital, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region, China
• ⁵Department of Obstetrics, Inner Mongolia Maternal and Child Health Care Hospital, Huhhot, China
• ⁶Department of Gynecology, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital, Jinan, Shandong Province, China
• ⁷Gynecology Department, Inner Mongolia Maternal and Child Health Care Hospital, Huhhot, China

Background: Prenatal diagnostics is a crucial process for ensuring the health of both pregnant women and their fetuses. However, the participation rate of high-risk pregnant women in prenatal diagnostics is often influenced by various factors, including anxiety, depression, and lack of family support. In recent years, mobile health (mHealth) interventions have become an important tool in improving maternal health management, especially in terms of behavior change. The Behavior Change Wheel (BCW) theory and the Family Health Theory (FHT) have been applied in various health interventions, but there are limited studies focusing on prenatal diagnostics.The study aims to evaluate the impact of a mobile health intervention based on the Behavior Change Wheel theory and Family Health Theory on prenatal diagnostic participation rates and pregnancy outcomes in high-risk pregnant women, while exploring the role of family member involvement in improving maternal psychological health and pregnancy outcomes. outcomes include health knowledge, anxiety and depression levels, decision conflict, and other factors. This study uses IBM SPSS Statistics 24.0 for data analysis, employing descriptive statistics, normality tests, Mann-Whitney U, Wilcoxon, and chi-square tests.Discussion：The study proposes that a mobile health intervention based on the Behavior Change Wheel theory and Family Health Theory may effectively increase prenatal diagnostic participation and improve the psychological health and pregnancy outcomes of high-risk pregnant women. The active participation and emotional support of family members are expected to be key components in achieving these improvements. This research provides new insights and evidence for the application of mHealth interventions in prenatal screening.