Abstract
Health status measurements are vital in understanding a patient’s health. However, current means of measuring health status, such as questionnaires, are limited. Research has shown that there is a need for more objective and accurate methods of measuring health status. We postulate that novel sensor solutions could be used to make observations about a patients’ behaviour and make predictions relating to their health status. In order to achieve this overall goal, the problem of building a dataset comprising behaviour observations, from sensors, and health status measure must be addressed. In this work, we propose a crowd-sourced solution to this dataset problem where a Smartphone App is developed in order to facilitate in the collection of behaviour data, via sensors, and health status information. Results show that, after just 4 months, 1311 people have downloaded the App and 541 participants have completed a health status questionnaire (SF-36). Preliminary analysis of the data also shows a statistically significant correlation between the amount of time a participant is active and the health status of the participant.
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Viswanathan, M., Golin, C.E., Jones, C.D., Ashok, M., Blalock, S.J., Wines, R.C.M., Coker-Schwimmer, E.J.L., Rosen, D.L., Sista, P., Lohr, K.N.: Interventions to improve adherence to self-administered medications for chronic diseases in the United States: a systematic review, pp. 785–795, December 2012
UK Department of Health: Long Term Conditions Compendium of Information, 3rd edn. (2012)
Kocks, J.W.H., Tuinenga, M.G., Uil, S.M., van den Berg, J.W.K., Ståhl, E., van der Molen, T.: Health status measurement in COPD: the minimal clinically important difference of the clinical COPD questionnaire. Respir. Res. 7(i), 62 (2006)
Jones, P.W.: Health status measurement in chronic obstructive pulmonary disease. Thorax 56(11), 880–887 (2001)
Pitta, F., Troosters, T., Probst, V.S., Spruit, M.A., Decramer, M., Gosselink, R.: Quantifying physical activity in daily life with questionnaires and motion sensors in COPD. Eur. Respir. J.: Official J. Eur. Soc. Clin. Respir. Physiol. 27(5), 1040–1055 (2006)
Fox, S., Duggan, M.: Mobile Health 2012, Pew Research Center. Technical report (2012)
Bize, R., Johnson, J.A., Plotnikoff, R.C.: Physical activity level and health-related quality of life in the general adult population: a systematic review, pp. 401–415 (2007)
Boueri, F.M., Bucher-Bartelson, B.L., Glenn, K.A., Make, B.J.: Quality of life measured with a generic instrument (Short Form-36) improves following pulmonary rehabilitation in patients with COPD. Chest 119(1), 77–84 (2001). http://www.ncbi.nlm.nih.gov/pubmed/11157587
Ståhl, E., Lindberg, A., Jansson, S.-A., Rönmark, E., Svensson, K., Andersson, F., Löfdahl, C.-G., Lundbäck, B.: Health-related quality of life is related to COPD disease severity. Health Qual. Outcomes 3, 56 (2005)
Farivar, S.S., Cunningham, W.E., Hays, R.D.: Correlated physical and mental health summary scores for the SF-36 and SF-12 Health Survey, V. 1. Health Qual. Life Outcomes 5(1), 54 (2007)
Burholt, V., Nash, P.: Short Form 36 (SF-36) health survey questionnaire: normative data for wales. J. Publ. Health (Oxf. Engl.) 33(4), 587–603 (2011)
Lyons, R.A., Wareham, K., Lucas, M., Price, D., Williams, J., Hutchings, H.A.: SF-36 scores vary by method of administration: implications for study design. J. Publ. Health Med. 21(1), 41–45 (1999)
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© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Kelly, D., Caulfield, B., Curran, K. (2017). Crowdsourced Data Collection of Physical Activity and Health Status: An App Solution. In: Perego, P., Andreoni, G., Rizzo, G. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 192. Springer, Cham. https://doi.org/10.1007/978-3-319-58877-3_20
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DOI: https://doi.org/10.1007/978-3-319-58877-3_20
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