Accuracy, Validity, and Reliability of an Electronic Visual Analog Scale for Pain on a Touch Screen Tablet in Healthy Older Adults: A Clinical Trial
Initiatives
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This study aims to test the accuracy of visual analog scale (VAS) for pain on a newly designed application on the iPad (iPadVAS) and measure the reliability and validity of iPadVAS compared to a paper copy (paperVAS).
Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
- Start Year
- 2014
- End Year
- 2015
- Funding
- Development of the electronic application was assisted by funding provided by the National Stroke Foundation (Australia).
Design
- Study design
- Clinical trial cohort
Marker Paper
Bird ML, Callisaya ML, Cannell J, Gibbons T, Smith ST, Ahuja KD. Accuracy, Validity, and Reliability of an Electronic Visual Analog Scale for Pain on a Touch Screen Tablet in Healthy Older Adults: A Clinical Trial. Interact J Med Res. 2016;5(1):e3. Published 2016 Jan 14. doi:10.2196/ijmr.4910
PUBMED 26769149
Recruitment
- Sources of Recruitment
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- Individuals
Number of participants
- Number of participants
- 22
- Number of participants with biosamples
Access
Availability of data and biosamples
| Data | |
| Biosamples | |
| Other |
Timeline
healthy older adults
A total of 22 healthy community dwelling older adults were then recruited to test reliability and validity.
Selection Criteria
- Minimum age
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65
- Maximum age
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85
- Newborns
- Twins
- Countries
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- Austria
- Territory
- Launceston
- Ethnic Origin
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- Health Status
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Recruitment
- Sources of recruitment
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- General population
Number of participants
- Number of participants
- 22
- Number of participants with biosamples
Data Collection Event
This study aims to test the accuracy of visual analog scale (VAS) for pain on a newly designed application on the iPad (iPadVAS) and measure the reliability and validity of iPadVAS compared to a paper copy (paperVAS).
- Start Date
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2014-11
- End Date
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2015-04
- Data sources
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Mobile data collection
- Smartphone
- Smartphone apps
- Tablet/laptop
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Mobile data collection