Li Bowen, Jin Ningning, Wang Yingli, Hou Xiaoni, Meng Jing, Zhang Yihong
School of Nursing, Beijing University of Chinese Medicine, Beijing, China.
Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
J Med Internet Res. 2025 Jul 2;27:e67620. doi: 10.2196/67620.
Perinatal women are increasingly turning to digital media for maternal health information; however, concerns regarding the quality of this information persist. Understanding perinatal women's perceptions of information quality is essential for enhancing the effectiveness of information services.
This review aims to (1) identify the key features that perinatal women focus on when perceiving the quality of maternal health information on digital media and (2) summarize the quality issues with maternal health information on digital media that perinatal women have reported.
A scoping review was conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines using PubMed, Web of Science, Embase, Scopus, and ScienceDirect databases (2000-2024). The search strategy combined the following four conceptual clusters using Boolean operators: (1) perinatal population terms ("pregnant women," "expectant mothers," and "perinatal"), (2) information-related terms ("information," "education," and "resource"), (3) perception-related terms ("perception," "experience," and "expectation"), and (4) digital media terms ("online," "social media," and "app"). Thematic analysis was used for data synthesis.
From 5290 records identified, 30 (0.57%) articles were selected for inclusion in this review. The perceived quality features of information can be categorized into four distinct aspects: (1) information providers, which encompasses 2 features, transparency and authority; (2) information content, consisting of 9 features, trustworthiness, evidence based, timeliness, comprehensiveness, need-based relevance, practicality, motivational simulation, emotional supportiveness, and cultural sensitivity; (3) information presentation, which includes 3 features, understandability, attractiveness, and conciseness; and (4) information platforms, comprising 3 features, user-friendly navigation, proactive delivery, and interactivity. Furthermore, several perceived quality issues associated with these aspects were noteworthy. Specifically, (1) quality issues regarding information providers primarily pertained to their lack of credibility; (2) quality issues related to information content encompassed an overwhelming volume of information, inaccuracies, lack of scientific evidence, prevalence of contradictory information, insufficient breadth and depth, a mismatch between content and the needs of women, and information that induces negative emotions; (3) presentation issues manifested as difficulties in understanding the information; and (4) quality issues regarding information platforms included poor usability and the commercialization of these platforms.
Our review identifies 17 key quality features across various dimensions that are valued by perinatal women. While there are similarities with quality indicators found in general health information, the unique quality features shaped by the specific characteristics of the perinatal population cannot be overlooked. These distinctive attributes highlight the importance of tailoring maternal health information to meet the unique needs and preferences of perinatal women. Although digital media information services offer many benefits, this study indicates that perinatal women are dissatisfied with the quality of existing maternal health information. Clearly, future efforts should focus on integrating perinatal women's perceptions of information quality to ensure ongoing improvements in information quality.
围产期女性越来越多地转向数字媒体获取孕产妇健康信息;然而,对这些信息质量的担忧依然存在。了解围产期女性对信息质量的看法对于提高信息服务的有效性至关重要。
本综述旨在(1)确定围产期女性在感知数字媒体上的孕产妇健康信息质量时关注的关键特征,以及(2)总结围产期女性报告的数字媒体上孕产妇健康信息的质量问题。
按照PRISMA-ScR(系统评价和Meta分析扩展的范围综述首选报告项目)指南,使用PubMed、Web of Science、Embase、Scopus和ScienceDirect数据库(2000-2024年)进行范围综述。搜索策略使用布尔运算符组合以下四个概念集群:(1)围产期人群术语(“孕妇”、“准妈妈”和“围产期”),(2)信息相关术语(“信息”、“教育”和“资源”),(3)感知相关术语(“感知”、“体验”和“期望”),以及(4)数字媒体术语(“在线”、“社交媒体”和“应用程序”)。采用主题分析进行数据综合。
从识别出的5290条记录中,选择了30篇(0.57%)文章纳入本综述。信息的感知质量特征可分为四个不同方面:(1)信息提供者,包括2个特征,透明度和权威性;(2)信息内容,由9个特征组成,可信度、循证性、及时性、全面性、基于需求的相关性、实用性、激励性模拟、情感支持性和文化敏感性;(3)信息呈现,包括3个特征,易懂性、吸引力和简洁性;(4)信息平台,包括3个特征,用户友好的导航、主动推送和交互性。此外,与这些方面相关的几个感知质量问题值得注意。具体而言,(1)信息提供者的质量问题主要与其缺乏可信度有关;(2)与信息内容相关的质量问题包括信息量过大、不准确、缺乏科学证据、矛盾信息普遍、广度和深度不足、内容与女性需求不匹配以及引发负面情绪的信息;(3)呈现问题表现为理解信息困难;(4)信息平台的质量问题包括可用性差和这些平台的商业化。
我们的综述确定了围产期女性重视 的各个维度的17个关键质量特征。虽然与一般健康信息中的质量指标有相似之处,但围产期人群的特定特征所形成的独特质量特征不容忽视。这些独特属性凸显了根据围产期女性的独特需求和偏好定制孕产妇健康信息的重要性。尽管数字媒体信息服务有很多好处,但本研究表明围产期女性对现有孕产妇健康信息的质量不满意。显然,未来的努力应集中在整合围产期女性对信息质量的看法,以确保持续提高信息质量。