Mobile health has provided new and exciting ways for patients to partake in their healthcare. Wearable devices are designed to collect the user’s health data, which can be analysed to provide information about the user’s health status. However, little research has been conducted that addresses privacy and information security issues of these devices.
Objective:
To investigate the privacy and information security issues to which users are exposed when using wearable health devices.
Method:
The study used a cross-sectional survey approach to collect data from a convenience sample of 106 respondents.
Results:
Half of the respondents did not understand the need to protect health information. There also appeared to be a general lack of awareness among respondents about the information security issues surrounding their data collected by wearable devices.
Conclusion:
Users were not knowledgeable about the privacy risks that their data are exposed to or how these data are protected once collected.
Implications:
Users of wearable devices that collect personal information about health need to be educated about privacy and information security issues to which they are exposed when using these devices.
AdibiS (2014) mHealth Multidisciplinary Verticals. New York: CRC Press.
2.
AllardTAnciauxNBouganimL, et al. (2010) Secure personal data servers: a vision paper. PVLDB3(1–2): 25–35.
3.
AnayaLSAlsadoonACostadopoulosN, et al. (2018) Ethical implications of user perceptions of wearable devices. Science and Engineering Ethics24(1): 1–28.
4.
BellekensXNieradzinskaKBellekensA, et al. (2016) A study on situational awareness security and privacy of wearable health monitoring devices. International Journal on Cyber Situational Awareness1: 1–25.
5.
BlobelBLopezDGonzalezC (2016) Patient privacy and security concerns on big data for personalised medicine. Health and Technology6(1): 75–81.
6.
CilliersLViljoenKChinyamurindiW (2018) A study on students’ acceptance of mobile phone use to seek health information in South Africa. Health Information Management Journal47(2): 59–69.
7.
DasAKPathakPHChuahCN, et al. (2016) Uncovering privacy leakage in cable network traffic of wearable fitness trackers. In: HotMobile ‘16 proceedings of the 17th international workshop on mobile computing systems and applications, St. Augustine, Florida, USA, 23–24 February 2016, pp. 99–104. New York, NY: ACM. DOI: 10.1145/2873587.2873594
8.
de MontjoyeYAHidalgoCAVerleysenM, et al. (2013) Unique in the crowd: the privacy bounds of human mobility. Scientific Reports3: 1–5.
DuFourALajeunesseKPipadaR, et al. (2017) The effect of data security perception on wearable device acceptance: a technology acceptance model. In: Proceedings of Student-Faculty Research Day, CSIS, Pace University, 5 May 2017, pp. 1–6.
11.
ElsFCilliersL (2017) Improving the information security of personal electronic health records to protect a patient’s health information. In: Proceedings of information communication technology and society conference, Umhlanga, South Africa, 9–10 March 2017.
12.
FarnellGBarkleyJ (2017) The effect of a wearable physical activity monitor (Fitbit One) on physical activity behaviour in women: a pilot study. Journal of Human Sport and Exercise12(4): 1230–1237.
13.
Fernández-AlemánJLCarrión SeñorILozoyaP, et al. (2013) Security and privacy in electronic health records: a systematic literature review. Journal of Biomedical Informatics46: 541–562.
14.
FilkinsBLKimJYRobertsB, et al. (2016) Privacy and security in the era of digital health: What should translational researchers know and do about it?American Journal of Translational Research8(3): 1560.
15.
GenuthI (2015) All in the mind. Engineering & Technology10: 37–39.
16.
HuckvaleKPrietoJTTilneyM, et al. (2015) Unaddressed privacy risks in accredited health and wellness apps: a systematic cross-sectional assessment. BMC Medicine13(1): 214.
17.
KatururaMCilliersL (2017) A review of the implementation of electronic health record systems on the African continent. In Conference Proceedings of African Computer and Information System & Technology 2017, Cape Town, South Africa, 10–11 July 2017.
18.
LambiotteBRKosinskiM (2015) Tracking the digital footprints of personality. Proceedings of the IEEE102(12): 1934–1939.
19.
MalamboPKengneAPLambertEV, et al. (2016) Prevalence and socio-demographic correlates of physical activity levels among South African adults in cape town and mount frere communities in 2008-2009. Archives of Public Health74: 54.
20.
Martínez-PérezBde la Torre-DíezILópez-CoronadoM (2015) Privacy and security in mobile health apps: a review and recommendations. Journal of Medical Systems39(1): 181–190.
21.
MehraeenEGhazisaeediMFarziJ, et al. (2016) Security challenges in healthcare cloud computing: a systematic review. Global Journal of Health Science9(3): 157.
22.
MeingastMRoostaTSastryS (2006) Security and privacy issues with healthcare information technology. In: 2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 31 August–3 September 2006, pp. 5453–5458. New York, USA: IEEE.
23.
MontgomeryKChesterJKoppK (2018) Health wearables: ensuring fairness, preventing discrimination, and promoting equity in an emerging Internet-of-Things environment. Journal of Information Policy8: 34–77.
24.
NgamntwiniBCilliersL (2018) A usability framework for diabetic health applications in South Africa. In: Conference Proceedings of Future Technology Conference 2018, Vancouver, Canada, 13–14 November 2018.
25.
NunnallyJC (1978) Psychometric Theory. New York: McGraw-Hill.
26.
OgundeleOIsabiryeNCilliersL (2018) A model to provide health services to hypertensive patients through the use of mobile health technology. In: Conference Proceedings of African Conference of Information and Communication Technology, Cape Town, South Africa, 10–11 July 2018.
27.
ParkMDrevinL (2016) An investigation into the security behaviour of tertiary students regarding mobile device security. In: Conference Proceedings of CONF-IRM 2016 Proceedings, Durban, South Africa, 2016, Paper 63. Available at: http://aisel.aisnet.org/confirm2016/63 (accessed 15 December 2018).
28.
PearsonS (2012) Privacy, Security and Trust in Cloud Computing. New York: IBM.
29.
PiwekLEllisDAAndrewsS, et al. (2016) The rise of consumer health wearables: promises and barriers. PLoS Med13(2): e1001953.
30.
ScholzT (Ed.) (2012) Digital Labour: The Internet as Playground and Factory. New York: Routledge.
31.
SeneviratneSHuYNguyenT, et al. (2017) A survey of wearable devices and challenges. IEEE Communications Surveys & Tutorials19(4): 2573–2620.
32.
ShisanaOLabadariosDRehleT, et al. (2013) South African National Health and Nutrition Examination Survey. Cape Town, South Africa: SANHANES.
SunaDChangGSunaL, et al. (2011) Advanced in control engineering and information science surveying and analysing security, privacy and trust issues in cloud computing environments. Procedia Engineering15: 2852–2856.
35.
TanaJForssMHellsténT (2017) The use of wearables in healthcare–challenges and opportunities. Arcada Working papers. Arcada, Finland: Department of Health and Welfare. ISBN 978-952-5260-83-0.
36.
VaradharajanV (2009) A note on trust-enhanced security. IEEE Security and Privacy7: 57–59.
37.
WestinAF (1967) Privacy and Freedom. New York: Atheneum.
