Asadollahi Fateme, Zagami Samira Ebrahimzadeh, Roudsari Robab Latifnejad
PhD student in Reproductive Health, Student Research Committee, Mashhad University of Medical Sciences, Mashhad, Iran.
Nursing and Midwifery Care Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Sci Rep. 2025 Jul 29;15(1):27603. doi: 10.1038/s41598-025-05609-6.
Educating pregnant women about health-promoting behaviors is essential for achieving optimal pregnancy outcomes. Mobile health (mHealth) technologies are increasingly used to enhance healthcare delivery and support positive lifestyle changes. However, for these interventions to be effective, they must align with users' socio-cultural contexts and expectations. This study aims to design, validate, and evaluate a culturally sensitive mHealth application for prenatal health promotion, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT). An exploratory sequential mixed-methods design will be employed in three phases. In Phase 1, qualitative data will be collected through in-depth interviews with 15-20 pregnant women and healthcare experts to explore factors influencing the adoption of mHealth technologies. Data will be analyzed using directed content analysis based on the UTAUT model, following the approach proposed by Elo and Kyngäs. In Phase 2, the app will be developed using the ADDIE instructional design model. Findings from Phase 1 and a comprehensive literature review will inform the design of a prototype. The app will undergo expert review and user testing for content validation and usability assessment. In Phase 3, a randomized controlled trial will be conducted with 60 pregnant women recruited from public health clinics. Participants will be randomly assigned to either the intervention group (receiving the mHealth app) or the control group (receiving standard prenatal care) for one month. Outcomes will be assessed using the Modified Health-Promoting Lifestyle Profile for Pregnancy (both groups) and the UTAUT-based Technology Acceptance Questionnaire (intervention group only). Data will be analyzed using SPSS version 23. A mixed-methods integration strategy will be used to interpret results, illustrating how qualitative findings inform and elaborate the quantitative outcomes. This protocol outlines the development of a theory-driven, user-centered mHealth intervention designed for pregnant women. The use of a mixed-methods approach ensures that the app reflects user needs and evaluates its effectiveness in promoting maternal health behaviors, with potential implications for improving maternal and fetal health outcomes.Trial registration: The trial is registered at https//irct.behdasht.gov.ir (identifier IRCT ID IRCT20180412039276N2, registered on 23.05.2022).
对孕妇进行促进健康行为的教育对于实现最佳妊娠结局至关重要。移动健康(mHealth)技术越来越多地用于改善医疗服务提供并支持积极的生活方式改变。然而,要使这些干预措施有效,它们必须与用户的社会文化背景和期望相契合。本研究旨在以技术接受与使用统一理论(UTAUT)为指导,设计、验证和评估一款针对产前健康促进的具有文化敏感性的移动健康应用程序。将采用探索性序列混合方法设计,分三个阶段进行。在第一阶段,将通过对15至20名孕妇和医疗保健专家进行深入访谈来收集定性数据,以探索影响移动健康技术采用的因素。将根据Elo和Kyngäs提出的方法,基于UTAUT模型使用定向内容分析法对数据进行分析。在第二阶段,将使用ADDIE教学设计模型开发该应用程序。第一阶段的研究结果和全面的文献综述将为原型设计提供参考。该应用程序将接受专家评审和用户测试,以进行内容验证和可用性评估。在第三阶段,将对从公共卫生诊所招募的60名孕妇进行随机对照试验。参与者将被随机分配到干预组(使用移动健康应用程序)或对照组(接受标准产前护理),为期一个月。将使用改良的孕期健康促进生活方式量表(两组均使用)和基于UTAUT的技术接受问卷(仅干预组使用)来评估结果。将使用SPSS 23版对数据进行分析。将采用混合方法整合策略来解释结果,说明定性研究结果如何为定量结果提供信息并对其进行详细阐述。本方案概述了一种为孕妇设计的、以理论为驱动、以用户为中心的移动健康干预措施的开发过程。采用混合方法确保该应用程序反映用户需求,并评估其在促进孕产妇健康行为方面的有效性,这可能对改善母婴健康结局具有潜在意义。试验注册:该试验已在https//irct.behdasht.gov.ir注册(标识符IRCT ID IRCT20180412039276N2,于2022年5月23日注册)。