Goddard Lucy, Tucker Katherine, Astbury Nerys M, Roman Cristian, Chi Yuan, Morgan Katherine, Devitt Patricia, McManus Richard J
Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, United Kingdom, 44 01865 ext 289215.
NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom.
JMIR Form Res. 2025 Jul 18;9:e68927. doi: 10.2196/68927.
Chronic hypertension affects 1%-5% of pregnancies, increasing women's risks of adverse pregnancy outcomes and life-long cardiovascular disease risk. Therefore, care management during pregnancy includes close monitoring of blood pressure and medication. Healthy dietary and physical activity behaviors have proven beneficial effects on blood pressure outside and during pregnancy. However, little is known about the best way to support women with chronic hypertension during pregnancy to adopt such behaviors, which could improve pregnancy outcomes, as well as future cardiovascular health.
This study aims to develop and optimize a digital lifestyle intervention-the DAPHNY (Diet and Activity for Pregnancy Hypertension) app-with those who have experienced chronic hypertension during pregnancy.
Guided by the person-based approach to intervention development, a review of literature and continuous expert input, including from patient and public representatives, informed the planning stage. This was followed by focus groups with maternity health professionals (n=23) and think-aloud interviews with women who had experience of chronic hypertension during pregnancy (n=11). A content analysis, underpinned by theoretical modeling using the capability opportunity motivation-behavior model, informed 3 logic models to visualize modifications for meaningful engagement with an intervention and sustained behavior change. The intervention was modified iteratively, leading to a first version of the digital intervention that was tested by women (n=10) to further optimize acceptability and engagement. App use data and user engagement patterns were captured.
An evidence-based, theoretically informed lifestyle app, named DAPHNY, was developed. Key features included in logic models and implemented into a first version of the app comprised supportive messaging to acknowledge challenges of hypertensive pregnancy, goal setting and progress reports for feedback on behaviors, information about health consequences to shape knowledge, credible source endorsement, and a reward or recognition system to acknowledge effort had been made. Engagement with the DAPHNY app during user testing demonstrated variability across users, with a mean of 13 (SD 6.84) sessions per participant. Session duration was variable, with a median of 36 seconds (range: 5 seconds to 5 minutes, 20 seconds). Action-based pages, including recording blood pressure (40 sessions) and step count (39 sessions), were accessed more frequently than informational pages, which required a deeper level of app engagement.
Development of the DAPHNY app, underpinned by an established behavioral framework for developing digital interventions, provided new data insights about how to support women with chronic hypertension to engage in healthy behaviors, a currently overlooked aspect of blood pressure management. Future iterations should focus on increasing engagement and supporting implementation through streamlined content and integration with existing health systems and self-monitoring data. Rigorous, larger-scale studies including comprehensive process evaluation would determine potential clinical effectiveness, implementation strategies, and impact for women and health care professionals.
慢性高血压影响1%-5%的孕期女性,增加了不良妊娠结局和终身心血管疾病风险。因此,孕期护理管理包括密切监测血压和用药情况。健康的饮食和身体活动行为已被证明对孕期内外的血压有益。然而,对于如何在孕期支持患有慢性高血压的女性采取此类行为,从而改善妊娠结局以及未来心血管健康的最佳方法,人们知之甚少。
本研究旨在与孕期经历过慢性高血压的人群共同开发并优化一种数字生活方式干预措施——DAPHNY(妊娠高血压饮食与活动)应用程序。
在以个人为基础的干预开发方法的指导下,通过文献综述以及包括患者和公众代表在内的专家持续提供的意见,为规划阶段提供了信息支持。随后,对产科健康专业人员进行了焦点小组访谈(n = 23),并对孕期有慢性高血压经历的女性进行了出声思考访谈(n = 11)。基于能力-机会-动机-行为模型进行理论建模的内容分析,为3个逻辑模型提供了信息,以直观展示干预措施的改进,从而实现有意义的参与和持续的行为改变。对干预措施进行了迭代修改,形成了数字干预的第一版,并由女性(n = 10)进行测试,以进一步优化可接受性和参与度。收集了应用程序使用数据和用户参与模式。
开发了一款名为DAPHNY的基于证据且理论依据充分的生活方式应用程序。逻辑模型中包含并在应用程序第一版中实现的关键特性包括:支持性信息,以认可妊娠高血压带来的挑战;目标设定和进度报告,用于反馈行为情况;关于健康后果的信息,以塑造认知;可靠来源认可;以及奖励或认可系统,以肯定所付出的努力。在用户测试期间,对DAPHNY应用程序的参与度在用户之间存在差异,每位参与者平均使用13次(标准差6.84)。会话时长各不相同,中位数为36秒(范围:5秒至5分钟20秒)。基于行动(action-based)的页面,包括记录血压(40次会话)和步数(39次会话),比需要更高应用程序参与度的信息页面访问频率更高。
在既定的数字干预行为框架支持下开发的DAPHNY应用程序,提供了关于如何支持患有慢性高血压的女性参与健康行为的新数据见解,而这是目前血压管理中被忽视的一个方面。未来的迭代应专注于通过简化内容以及与现有卫生系统和自我监测数据整合来提高参与度并支持实施。包括全面过程评估在内的严格、大规模研究将确定其对女性和医疗保健专业人员的潜在临床效果、实施策略及影响。