Department of Health Information Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Health Management and Economics Research Center, Health Management Research Institute, Iran University of Medical Sciences, Tehran, Iran.
BMC Pregnancy Childbirth. 2024 Jan 22;24(1):73. doi: 10.1186/s12884-024-06253-0.
Abortion and its complications are challenges that endanger women's health, especially in developing countries. It seems that the application of mhealth technology can be useful as a safe and affordable strategy in post-abortion care. The purpose of this study was to identify factors influencing the use of mhealth technology in post-abortion care.
This was a review study conducted in 2023 and articles published in English between 2010 and 1st November 2023 were searched in PubMed, Scopus, ProQuest, Web of Science, and Embase databases as well as Google Scholar. Data were collected using a data extraction form and were analyzed narratively.
The influencing factors could be divided into the motivating and inhibiting factors. The motivating factors included the subgroups of the individual factors (e.g., saving time), technical factors (e.g., usability), economic factors (e.g., saving costs), and ethico-legal factors (e.g., improving security and confidentiality of the information). Similarly, the inhibiting factors consisted of individual factors (e.g., fear of expressing abortion), technical factors (e.g., a lack of access to the network and the Internet), economic factors (e.g., inappropriate patient financial status), and ethico-legal (e.g., concerns over the security and confidentiality of information).
This study underscores the importance of considering various technical and non-technical factors influencing the design and implementation of mHealth technology in post-abortion care. Developers need to address these factors to ensure successful technology adoption and mitigate risks. The findings contribute to the enhancement of women's health and offer insights for future technology acceptance models in the mHealth field.
人工流产及其并发症是威胁妇女健康的挑战，尤其是在发展中国家。移动医疗技术的应用似乎可以作为一种安全且负担得起的策略，应用于流产后护理。本研究旨在确定影响流产后护理中使用移动医疗技术的因素。
这是一项 2023 年进行的综述研究，检索了 2010 年至 2023 年 11 月 1 日期间在 PubMed、Scopus、ProQuest、Web of Science 和 Embase 数据库以及 Google Scholar 发表的英文文章。使用数据提取表收集数据，并进行叙述性分析。
影响因素可分为促进因素和抑制因素。促进因素包括个体因素亚组（例如，节省时间）、技术因素（例如，可用性）、经济因素（例如，节省成本）和伦理法律因素（例如，提高信息的安全性和保密性）。同样，抑制因素包括个体因素（例如，害怕表达流产）、技术因素（例如，无法访问网络和互联网）、经济因素（例如，患者经济状况不佳）和伦理法律因素（例如，对信息的安全性和保密性的担忧）。
本研究强调了在流产后护理中设计和实施移动医疗技术时考虑各种技术和非技术因素的重要性。开发人员需要解决这些因素，以确保成功采用技术并降低风险。研究结果有助于提高妇女的健康水平，并为移动医疗领域未来的技术接受模型提供了见解。
