“Moving through Uncertain Pathways”: Health Professionals’ perspectives on novel technologies for continuing care in high-risk pregnancy using the technology acceptance model

Abstract

Background: High-risk pregnancies contribute disproportionately to maternal and perinatal mortality, particularly in low- and middle-income countries (LMICs). Digital health technologies (DHTs), including mobile applications and web-based platforms, have emerged as tools to enhance continuity and personalization of care. Yet, little is known about how healthcare professionals in resource-constrained settings perceive and adopt these innovations, particularly in the context of continuing care for high-risk pregnancy (HRP). This study aimed to explore healthcare professionals’ perspectives on the acceptability and adoption of DHTs to support continuing care in HRP. Methods: This qualitative descriptive approach was guided by the Technology Acceptance Model (TAM) and conducted in four tertiary hospitals in Lao PDR. In-depth, semi-structured interviews were held with 16 participants (obstetricians, nurses, and midwives). Data were analyzed using reflexive thematic analysis. Rigor was ensured through COREQ-based procedures. Results: Four major themes emerged: (1) Perceived Usefulness—digital tools facilitated early detection, holistic monitoring, and communication; (2) Perceived Ease of Use—participants found mobile platforms familiar but cited device limitations and digital literacy gaps; (3) Attitude Toward Use—providers appreciated patient-centered benefits but expressed concern over workload; and (4) Behavioral Intention to Use—adoption was conditional on leadership endorsement, workflow alignment, and training availability. Conclusions: Healthcare professionals viewed digital platforms as promising tools for supporting continuing care in high-risk pregnancies. However, sustained adoption will depend on addressing infrastructure barriers, institutional readiness, and professional development. These findings underscore the need for context-sensitive implementation strategies that integrate user experience with systemic support.