The effectiveness of "Dijital Steps" web based telerehabilitation system for patient with hindfoot pain: A randomised controlled trial.

OBJECTIVE: The aim of the study was to evaluate and compare effective therapeutic options for hindfoot pain, develop and investigate the effectiveness of tele-rehabilitation systems, and ensure patients perform their exercises and preventive measures regularly and accurately, while monitoring results. METHODS: Hindfoot pain (HP) patients (N = 77 with 120 feet) were admitted to this study and divided into two pathologies; Plantar Fasciitis and Achilles Tendinopathy. Patients in each pathology were randomized into three different rehabilitation programs-web-based telerehabilitation (PF-T & AT-T), -hands-on healing techniques combined with exercise (PF-C & AT-C)-unsupervised home exercise (PF-H & AT-H) program. Disability, activity restrictions, first-step pain, dorsiflexion-plantar flexion range of motion and kinesiophobia scores were recorded. The outcomes of the study groups were collected pre-post intervention (8thweek). Telerehabilitation system was developed via user-driven innovation and tested before using formally. RESULTS: Each group had significant improvements in pain, disability, functional status and kinesiophobia (p < 0.001). In terms of functional status, PF-C had a statistically significant difference from others (p < 0.001). There was no difference between the groups for the pain scores in both pathologies. (p > 0.001). However, web-based telerehabilitation (PF-T & AT-T) were found to be more effective on kinesiophobia compared to the other groups (p < 0.001). CONCLUSIONS: The presented web-based telerehabilitation system for management of hindfoot pain is an effective way and might be preferred instead of unsupervised home exercise specially for kinesiophobia. Additionally, Foot and ankle stretching and strengthening exercises protocols, myofascial releasing and mulligan concept manual therapy are effective modalities in terms of ROM, VISA-A, FAAM, FFI, TSK and VAS scores for hindfoot pain. The results indicated that three promised different rehabilitation protocols could be an effective strategy for HP.

A Jini-based solution for electronic prescriptions.

In most countries today, handwritten, paper-based medical prescriptions are the norm. While efforts have been made in the past and are being made at present to migrate toward electronic dispensation of prescriptions, these have generally omitted to incorporate ubiquitous computing technology in their proposed solutions. In this paper, we focus on this issue and describe a Jini-based prototypical solution for electronic prescriptions, which allows for their wireless transmission to in-range pharmacies and the augmentation of the service levels rendered to the user, with, for instance, information about queue lengths and estimated waiting times being provided to the patients. Clinical and user evaluation revealed that there were high levels of agreement as regards the prototype's effectiveness, ease of use, and usefulness.

Recording of time-varying back-pain data: a wireless solution.

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.