Pelvic pain & endometriosis: the development of a patient-centred e-health resource for those affected by endometriosis-associated dyspareunia.

IF 3.3 3区 医学 Q2 MEDICAL INFORMATICS BMC Medical Informatics and Decision Making Pub Date : 2025-02-13 DOI:10.1186/s12911-025-02907-x
Gurkiran Parmar, A Fuchsia Howard, Heather Noga, Leah Tannock, Abdul-Fatawu Abdulai, Catherine Allaire, Sarah Lett, Jessica Sutherland, Edurne Lopez de Arbina, Lone Hummelshoj, Phillipa Bridge-Cook, Paul J Yong
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Abstract

Background: We recognized a paucity of accessible, evidence-based, empowering patient-centred resources for those with endometriosis-associated dyspareunia. Affecting more than 50% of people with endometriosis, dyspareunia can significantly impact relationships, chronic pain and the ability to have a family. We aimed to develop a patient-centred educational website for those affected by endometriosis-associated dyspareunia.

Methods: To develop a functional and meaningful website for endometriosis-associated dyspareunia, we utilized a Knowledge to Action framework, supplemented with a patient-centred research design and technology-enabled knowledge translation. Our patient partners influenced the direction and scope of the project, provided critical feedback throughout the development process, and approved website revisions prior to launch. The website was developed in five phases; (1) needs assessment interviews and focus groups with key stakeholders, (2) landscape analysis of pre-existing websites, (3) development, (4) usability testing and qualitative interviews, and (5) revisions and launch.

Results: Phase 1 and 2 emphasized a need for comprehensive yet plain language explanations of pain mechanisms and strategies for pain management. Rigorous consultation with key stakeholders informed the creation of the preliminary website in phase 3. Usability testing in phase 4 identified five main categories of usability problems, most of which were considered minor. Phase 4 qualitative interviews identified users' overall impressions of the preliminary website, including that the website could help people understand their pain and describe their pain to partners and healthcare providers, as well as feel empowered to seek healthcare and validated in their experiences. User suggestions, combined with usability testing, informed revisions in phase 5.

Conclusion: We developed an educational website for endometriosis-associated painful sex where people can find evidence-based etiologies for pain, pain management options, and actionable resources. Based on the data collected through qualitative interviews with patients, this website can potentially empower people to seek health care. The strength of the website development approach used was the inclusion of qualitative user insights in addition to the commonly completed user tests. The patient interviews provided insights into the potential impact of the website and, thus, ensured that we not only created a functional website that meets end users' needs, but a website that is also meaningful to those affected by this condition.

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背景:我们认识到,对于子宫内膜异位症相关性排便困难患者而言,以证据为基础、以患者为中心的可获取资源十分匮乏。50%以上的子宫内膜异位症患者都会出现性生活障碍,它会严重影响人际关系、慢性疼痛和组建家庭的能力。我们旨在为子宫内膜异位症相关性排便障碍患者开发一个以患者为中心的教育网站:为了开发一个实用且有意义的子宫内膜异位症相关性排便困难网站,我们采用了 "从知识到行动 "的框架,并辅以以患者为中心的研究设计和技术知识转化。我们的患者合作伙伴影响了项目的方向和范围,在整个开发过程中提供了重要的反馈意见,并在网站推出前批准了网站的修订。网站开发分为五个阶段:(1) 与主要利益相关者进行需求评估访谈和焦点小组,(2) 对已有网站进行前景分析,(3) 开发,(4) 可用性测试和定性访谈,(5) 修订和发布:第 1 和第 2 阶段强调需要用通俗易懂的语言全面解释疼痛机制和疼痛管理策略。与主要利益相关者的严格磋商为第 3 阶段初步网站的创建提供了信息。第 4 阶段的可用性测试发现了五大类可用性问题,其中大部分被认为是次要问题。第 4 阶段的定性访谈确定了用户对初步网站的总体印象,包括该网站可以帮助人们了解自己的疼痛,向伴侣和医疗服务提供者描述自己的疼痛,以及感受到寻求医疗保健的力量和经验的有效性。用户建议与可用性测试相结合,为第五阶段的修订提供了依据:我们开发了一个针对子宫内膜异位症相关性疼痛的教育网站,人们可以在网站上找到基于证据的疼痛病因、疼痛治疗方案和可操作的资源。根据对患者进行定性访谈收集到的数据,该网站有可能增强人们寻求医疗保健的能力。网站开发方法的优势在于,除了通常完成的用户测试外,还纳入了定性用户洞察。通过对患者的访谈,我们深入了解了网站的潜在影响,从而确保我们不仅创建了一个满足最终用户需求的功能性网站,而且还创建了一个对受这种疾病影响的人有意义的网站。
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来源期刊
CiteScore
7.20
自引率
5.70%
发文量
297
审稿时长
1 months
期刊介绍: BMC Medical Informatics and Decision Making is an open access journal publishing original peer-reviewed research articles in relation to the design, development, implementation, use, and evaluation of health information technologies and decision-making for human health.
期刊最新文献
Machine learning via DARTS-Optimized MobileViT models for pancreatic Cancer diagnosis with graph-based deep learning. Applications of digital health technologies and artificial intelligence algorithms in COPD: systematic review. Correction: Causal analysis for multivariate integrated clinical and environmental exposures data. Factors contributing to chronic ankle instability in parcel delivery workers based on machine learning techniques. Pelvic pain & endometriosis: the development of a patient-centred e-health resource for those affected by endometriosis-associated dyspareunia.
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