Self tracking

Original Editor - Tony Lowe

Top Contributors - Tony Lowe, Lucinda hampton, WikiSysop, 127.0.0.1 and Kim Jackson

Definition[edit | edit source]

There are an increasing array of small, relatively inexpensive devices and mobile apps available which allow an individual to track many measures of their daily life. This field is often refered to as Quantified Self and many of these measures have potential implications for healthcare management and influencing behaviour to promote a healthier life style[1].

Types of device and app[edit | edit source]

Nike Fuelband activity monitor

Activity trackers - generally the record number of steps taken but also can record elevation gained (number of stairs and floors). Often also estimate a measure of calories burned. Examples include the Fitbit, Nike Fuelband, Jawbone Up,Striiv and Withings Pulse. Mike Reinold provides a PT's review of these devices.

Meal logging - record daily food intakes through the use of photos odf meals, databases of food types and quantities to estimate calories and nutrients (e.g. the Fitbit food database) and even food scanners to automatically estimate meal make up (e.g. the TellSpec scanner).

Symptom logging - record symptoms such as pain and send reports to healthcare professionals (e.g. Manage my pain app).

Sleep tracking - measures activity levels and sometimes body temperature and heart rate at night to identify sleep good and bad patterns.

Body health measures - heart rate, skin temperature, perspiration (e.g. the Basis watch), blood pressure (e.g. the iHealth blood pressure monitor), blood oxygen saturation (e.g. the iHealth Pulse Oximeter), heart ECG trace (e.g. Alivecor)

Examples of medical use[edit | edit source]

A story by CNBC describes how in the Basque region of Spain hospital visists by patients suffering from chronic conditions are substantially reduced though the patients home use of medical tracking devices such as spirometers and pulse oximeters in conjunction with a home exercise programme delivered and monitored using Xbox Kinect. Data from the patients exercise and health measures are sent to health professionals who support the patient at a distance and only call the patient into the hosiptal when necessary.
Using a self tracking exercise device with predefined goals has been found to increase exercise levels in sedentary adults[2].
There is great interest in the use of these technologies for the treatment of chronic conditions such as COPD and studies are being undertaken to test the effectiveness of these approaches[3].


Implications for physical therapy / physiotherapy management[edit | edit source]

The Fitbit has been validated as a relaible tool for measuring energy expendiure during exercise[4] and step counts but not distance covered[5].
There are many ways the physical therapist could utilise the data recorded by self tracking patients and also work with patients to maximise the benefits they gain from self tracking. For example:
  • Setting appropriate goals for patient daily exercise levels (e.g. setting an appropriate daily goal for number of steps taken).
  • Patient logging of subjective measures for review during consultations e.g. pain, energy levels, feeling of wellness etc.
  • Logging daily prescribed exercise completion.
  • Setting goals and warning levels for measures with prompts for patients to seek medical attention or return for a follow-up appointment when these are met.

Recent Related Research (from Pubmed)[edit | edit source]

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References
[edit | edit source]

  1. Hansen, Dr. Margaret M., "Self-Tracking, Social Media and Personal Health Records for Patient Empowered Self-Care" (2012). Nursing and Health Professions Faculty Research. Paper 17.fckLR(http://repository.usfca.edu/nursing_fac/17)
  2. Kurti AN, Dallery J., "Internet-based contingency management increases walking in sedentary adults.", J Appl Behav Anal. 2013 Fall;46(3):568-81. doi: 10.1002/jaba.58. Epub 2013 Aug 1.
  3. Renée V.,Van der Weegen, S., Spreeuwenberg, M., Tange, H., Van der Weijden, T & Witte, L., A Monitoring and Feedback Tool to Support Patients in Achieving a more Active Lifestyle, eTELEMED 2012 : The Fourth International Conference on eHealth, Telemedicine, and Social Medicine (http://www.thinkmind.org/index.php?view=article&articleid=etelemed_2012_6_40_40086)
  4. J. Adam Noah, David K. Spierer, Jialu Gu, and Shaw Bronner, Comparison of steps and energy expenditure assessment in adults of Fitbit Tracker and Ultra to the Actical and indirect calorimetry, Journal of Medical Engineering & Technology, October 2013, Vol. 37, No. 7 , Pages 456-462 (http://informahealthcare.com/doi/abs/10.3109/03091902.2013.831135)
  5. Takacs J, Pollock CL, Guenther JR, Bahar M, Napier C, Hunt MA., Validation of the Fitbit One activity monitor device during treadmill walking., J Sci Med Sport. 2013 Oct 31 (http://www.ncbi.nlm.nih.gov/pubmed/24268570)