Shirdeli Mohammad, Rezaee Rita, Bashiri Azadeh, Mani Arash, Zakerabasali Somayyeh, Holl Felix
Department of Health Information Management, School of Health Management and Information, Student Research Committee, Health Human Resources Research Center Shiraz University of Medical Science Shiraz Iran.
Clinical Education Research Center, Health Human Resources Research Center, School of Health Management and Information Sciences Shiraz University of Medical Science Shiraz Iran.
Health Sci Rep. 2025 Aug 10;8(8):e71160. doi: 10.1002/hsr2.71160. eCollection 2025 Aug.
Despite the positive impacts of mHealth apps reported for several illnesses, evidence shows that mHealth applications developed for perinatal depression and anxiety are of moderate quality. The needs assessment of stakeholders to extract the requirements is pivotal for developing a successful app. This study aims to determine the requirement of a mHealth app for preventing and managing perinatal depression and anxiety.
This mixed-methods study was conducted based on four stages. Firstly, requirements were identified through a literature review. Secondly, the draft requirements were presented to an expert panel for review and confirmation. Fifteen experts participated in validating the requirements through the Content Validity Ratio (CVR) and Content Validity Index (CVI). Finally, the Delphi technique was performed to determine the final functional requirements.
The literature review retrieved 34 relevant articles and three guidelines. A total of 163 requirements were extracted through a literature search. The expert panel revision resulted in 87 requirements in 13 categories. Seven requirements were removed following CVI and CVR calculation. After the Delphi technique, five requirements were removed. The final list included 75 requirements categorized into 13 groups, including socio-demographic information, pregnancy and delivery, medical history, medication, screening, self-empowerment, warning/reminder, monitoring, consultation, forum, reports, interface/framing, and security and confidentiality.
These requirements have the potential to help app developers design and assess their apps, and for patients to assess the apps targeting the prevention and management of perinatal depression and anxiety. Further research is required to address the generalizability of this requirement set.
尽管有报道称移动健康应用程序对多种疾病有积极影响，但有证据表明，为围产期抑郁和焦虑开发的移动健康应用程序质量中等。对利益相关者进行需求评估以提取需求对于开发成功的应用程序至关重要。本研究旨在确定一款用于预防和管理围产期抑郁和焦虑的移动健康应用程序的需求。
本混合方法研究基于四个阶段进行。首先，通过文献综述确定需求。其次，将需求草案提交给专家小组进行审查和确认。15名专家通过内容效度比（CVR）和内容效度指数（CVI）参与需求验证。最后，采用德尔菲技术确定最终的功能需求。
文献综述检索到34篇相关文章和3项指南。通过文献检索共提取了163项需求。专家小组修订后得到13个类别的87项需求。在计算CVI和CVR后，删除了7项需求。经过德尔菲技术后，又删除了5项需求。最终列表包括75项需求，分为13组，包括社会人口统计学信息、妊娠与分娩、病史、用药、筛查、自我赋权、警告/提醒、监测、咨询、论坛、报告、界面/框架以及安全与保密。
这些需求有可能帮助应用程序开发者设计和评估他们的应用程序，也有助于患者评估针对围产期抑郁和焦虑预防与管理的应用程序。需要进一步研究以解决这一需求集的普遍性问题。
