Validation of Electronic Visual Analogue Scales (VAS) for Subjective Measures in older adults in rehabilitation for musculoskeletal and neurological conditions; Pain, Fatigue, Exertion, Enjoyment and Perceived benefits

None listed

The aim of this study is determine if data collected on a mobile device has the same accuracy and reliability as the traditional paper based method of data collection. Data collection using mobile technology (including iPads) has the capacity to improve the efficiency of data collection and reduce transcription errors in large data sets. Measurement of subjective measures such as Pain, Fatigue, Exertion, Enjoyment and Perceived benefits of an intervention allow researchers to determine valuable information, from the perspective of the participants, in any intervention that they are carrying out. These factors have been identified as important barriers or facilitators to participation in in physical activity or exercise programs. Tools to measure these parameters have been validated in paper form. In larger studies the ability to collect this data electronically has huge potential to improve research efficiency, but to date no validation studies have been done using the iPad and these tools in an older population. Advantages: *Reduced time for data collection *Improved storage of data (no paper copies required) *Reduced research time (no data transcription required) *Easy ability to securely gain and store de-identified/re-identifiable data

No related papers found yet.