Abstract
Background
The outcome of studies on back pain is usually measured at specific intervals (1 month, 3 months, etc.) However, because LBP is a recurring condition it would be more relevant to identify outcome in relation to course over time. A new data collection tool was recently developed (SMS-Track), allowing this to be done.
Aims
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present the SMS-Track system
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give some examples of how the course pattern varies between patients with back pain.
Methods
Each week for a year 80 patients with LBP participating in an RCT responded to two automated SMS-questions relating to “days of pain” and “days of sick-leave” during the preceding week. Patients sent one text message in return for each question with an answer from “0” to “7” days. Replies were automatically stored in a data file that later was used for analysis. Examples of graphs will be given, to show how patterns can be viewed for each individual patient.
Results and discussion
The frequent points of data collection made it possible to view each patient's specific reporting pattern. These patterns showed that some patients improve immediately, whereas others have various types of fluctuating patterns. The sick-leave pattern did not necessarily follow the pain pattern. Examples will be given in the poster.
Conclusion
SMS-track was found to be a useful tool for obtaining repeated measurements at short intervals over long periods of time allowing detailed insight into various disease patterns. This appears particularly interesting in diseases of a recurring nature. In addition, this method has a very high response rate.
Conflicts of interest: None
Sources of funding: Funded by “Velux Fonden”
