Developing inclusive digital health diagnostic for schistosomiasis: a need for guidance via target product profiles

Adeola Onasanya, Michel Bengtson, Ludo de Goeje, Jo van Engelen, Jan-Carel Diehl, Lisette van Lieshout
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Abstract

Introduction The INSPIRED project aims to develop inclusive Digital Optical Diagnostic Devices (DODDs) for schistosomiasis, to support disease management by enabling rapid diagnostic results, to improve efficient data management to guide decision-making and to provide healthcare workers with critical health information to facilitate follow-up action. Due to the non-availability of Target Product Profiles (TPPs) for guiding the development of digital diagnostics for schistosomiasis, we explored existing diagnostic TPPs. Methods Using a curated open access database (Notion database), we studied a selection of TPPs for diagnosing infectious diseases, focusing on specifications related to digital health products for Neglected Tropical Diseases (NTDs). Results Eighteen TPPs originating from 12 documents, covering 13 specific diseases, were selected and their characteristics were labeled and entered into the database. Further exploration of the database revealed several gaps, including a lack of stakeholder input, sustainability, and TPP availability. Other significant gaps related to digital health platform interconnectivity and data stewardship specifically in relation to digital diagnostics, including DODDs. Discussion These findings reflect two possible scenarios: (1) there is currently no need for digital diagnostic devices for schistosomiasis and, by extension for other NTDs; or (2) those needs are not yet covered by TPPs. Therefore, we recommend that digital health diagnostics are included in the use cases for schistosomiasis control and elimination, at least in the ideal/desirable scenario, as this will guide research and incentivize investment in digital health diagnostics for schistosomiasis.
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制定包容的血吸虫病数字健康诊断:需要通过目标产品简介提供指导
inspire项目旨在开发用于血吸虫病的包容性数字光学诊断设备(DODDs),通过实现快速诊断结果来支持疾病管理,改进有效的数据管理以指导决策,并为卫生保健工作者提供关键的卫生信息以促进后续行动。由于没有目标产品概要(TPPs)来指导血吸虫病数字诊断的发展,我们探索了现有的诊断TPPs。方法利用一个精心策划的开放获取数据库(Notion数据库),我们研究了传染病诊断的一些TPPs,重点关注与被忽视热带病(NTDs)数字健康产品相关的规范。结果从12篇文献中筛选出18个TPPs,涵盖13种特定疾病,并对其特征进行标注,录入数据库。对数据库的进一步探索揭示了一些差距,包括缺乏利益相关者的投入、可持续性和TPP的可用性。其他重大差距涉及数字卫生平台互联性和数据管理,特别是与数字诊断(包括DODDs)相关的数据管理。这些发现反映了两种可能的情况:(1)目前不需要血吸虫病的数字诊断设备,进而不需要其他被忽视热带病的数字诊断设备;或(2)这些需求尚未被合作伙伴关系涵盖。因此,我们建议至少在理想/理想的情况下,将数字健康诊断纳入血吸虫病控制和消除的用例中,因为这将指导研究并激励对血吸虫病数字健康诊断的投资。
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