Serif Tacha, Ghinea Gheorghita
School of Information Systems, Computing and Mathematics, Brunel University, Uxbridge, Middlesex UB8 3PH, UK.
IEEE Trans Inf Technol Biomed. 2005 Sep;9(3):447-58. doi: 10.1109/titb.2005.847514.
Chronic back pain is a debilitating experience for a considerable proportion of the adult population, with a significant impact on countries' economies and health systems. While there has been increasing anecdotal evidence to support the fact that for certain categories of patients (such as wheelchair users), the back pain experienced is dynamically varying with time, there is a relative scarcity of data to support and document this observation, with consequential impact upon such patients' treatment and care. Part of the reason behind this state of affairs is the relative difficulty in gathering pain measurements at precisely defined moments in time. In this paper, we describe a wireless-enabled solution that collects both questionnaire and diagrammatic, visual-based data, via a pain drawing, which overcomes such limitations, enabling seamless data collection and its upload to a hospital server using existing wireless fidelity technology. Results show that it is generally perceived to be an easy-to-use and convenient solution to the challenges of anywhere/anytime data collection.
慢性背痛对相当一部分成年人来说是一种使人衰弱的体验,对各国经济和卫生系统都有重大影响。虽然越来越多的轶事证据支持这样一个事实,即对于某些类别的患者(如轮椅使用者),所经历的背痛会随时间动态变化,但支持和记录这一观察结果的数据相对较少,从而影响了对这类患者的治疗和护理。这种情况背后的部分原因是在精确规定的时间点收集疼痛测量数据相对困难。在本文中,我们描述了一种无线解决方案,该方案通过疼痛绘图收集问卷以及基于图表和视觉的数据,克服了此类限制,能够使用现有的无线保真技术无缝收集数据并将其上传到医院服务器。结果表明,它通常被认为是应对随时随地数据收集挑战的一种易于使用且方便的解决方案。