mHEALTH-PHC -农村卫生保健应用程序设计

Sujit R. Shinde, R. Shinde, S. Shanbhag, Mridula Solanki, Pavan Sable, S. Kimbahune
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引用次数: 2

摘要

降低婴儿死亡率(IMR)和孕产妇死亡率(MMR)是千年发展目标(MDG)的重要目标之一[1],许多国家正在努力实现这一目标。在印度,这一问题正在通过国家农村保健团解决。尽管政府正在作出巨大努力,但考虑到幅员辽阔和医患比例较低,在提供保健服务方面仍存在差距。为了应对这一挑战,开发并试点了mhealth -基于移动的远程保健服务平台。该平台使卫生工作者能够将患者数据数字化,并向医生提问。医生可以看到问题和数据,并给出适当的答案。这项实验进行了一年多,在该州最不发达和偏远地区的一组约300名孕妇中进行。由于这是农村提供保健服务的早期举措之一,这是一次非常好的学习经验。基层卫生工作者进行了极好的互动和反馈。为此,采用了一种创新的“参与式设计”方法。本文介绍了为印度农村设计医疗保健应用程序的经验、使用的工具和方法、面临的问题以及如何解决这些问题。本文还讨论了用于优化相当大的信息集的策略,以适应移动屏幕的小尺寸尺寸,而不会丢失数据保真度,分类和优先级。该设计随后被翻译为基于移动的应用程序。还研究了卫生工作者使用情况的分析、他们的经验和对整个保健服务过程的影响。
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mHEALTH-PHC - Application design for rural health care
Reducing Infant Mortality Rate (IMR) and Maternal Mortality Ratio (MMR) is one of the important Millennium Development Goal (MDG) [1] and many countries are working on it. In India, it is being addressed through National Rural Health Mission (NRHM). Though Government is taking huge efforts, considering the vast geographic area and less Doctors: Patient ratio, there is a gap in health-care delivery. To address this challenge, mHEALTH-PHC - mobile based remote health-care delivery platform was developed and piloted. This platform enabled health workers to digitize the patient's data and ask questions to doctors. Doctors could see the questions along with the data and give appropriate answers. This experiment was conducted for more than a year for a set of approximately 300 expecting mothers in one of the most under-developed and remote regions of the state. Since this was one of the early initiatives in rural health-care delivery, it was a very good learning experience. There were excellent interactions and feedback from the ground level health workers. An innovative "Participative Design" approach was used for this purpose. This paper captures the experience of designing a health care application for rural India, the tools and methodologies used, issues faced and how these were resolved. The paper also discusses the strategies used for optimizing the fairly large set of information to suit small form factor of mobile screens without losing data fidelity, categorization and prioritization. The design was then translated to mobile based application. Analysis of usage by the health workers, their experience and impact on overall health delivery process was also studied.
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