mHealth tools in the management of epilepsy

Blek, Natasza; Zwoliński, Piotr

doi:10.21307/joepi-2020-007

Abstract

Introduction.

Epilepsy is a persistent neurological condition characterized by frequent seizures that are not triggered by an environmental or reversible stimulus. Although not yet widely used, mobile health (mHealth) innovations have enhanced epilepsy care and prevention and are expected to play an increasing role in the ownership of smartphones, wearable devices and innovation in medical technology.

Aim.

The present review paper aims to summarize the current state of knowledge regarding the use of mHealth tools in epilepsy management.

Discussion and Conclusions.

In this paper, we review available mHealth tools that influence key epilepsy management elements. These components include patient education, self-management directly affecting seizure control, diagnosis and therapy, and managing medical data. mHealth solutions are a promising approach to epilepsy self-management; further work is needed to explore their effectiveness.

References

Ahmed I., Ahmad N.S., Ali S., Ali S., George A., Danish H.S. et al.: Medication adherence apps: Review and content analysis. JMIR mHealth and uHealth, 2018, 6: e62.
Search in Google Scholar Back to article
Alvarado M.M., Kum H.-C., Gonzalez Coronado K., Foster M.J., Ortega P., Lawley M.A.: Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme. Journal of Medical Internet Research, 2017, 19: e28.
Search in Google Scholar Back to article
Ameen K., Gorman G.E.: Information and digital literacy: a stumbling block to development? A Pakistan perspective. Library Management, 2009, 30: 99–112.
Search in Google Scholar Back to article
Becker S., Miron-Shatz T., Schumacher N., Krocza J., Diamantidis C., Albrecht U.-V.: mHealth 2.0: Experiences, Possibilities, and Perspectives. JMIR mHealth and uHealth, 2014, 2: e24.
Search in Google Scholar Back to article
Beniczky S., Conradsen I., Wolf P.: Detection of convulsive seizures using surface electromyography. Epilepsia, 2018, 59, Suppl 1: 23–29.
Search in Google Scholar Back to article
Bos L., Marsh A., Carroll D., Gupta S., Rees M.: Patient 2.0 Empowerment. International Conference on Semantic Web & Web Services 2008. Las Vegas 2008.
Search in Google Scholar Back to article
Brigo F., Bonavita S., Leocani L., Tedeschi G., Lavorgna L.: Telemedicine and the challenge of epilepsy management at the time of COVID-19 pandemic. Epilepsy and Behav., 2020, 110: 107164.
Search in Google Scholar Back to article
Brodie M.J., Covanis A., Lerche H., Perucca E., Sills G.J., White S.: Antiepileptic drug therapy: does mechanism of action matter? Epilepsy Behav., 2011, 21: 331–341.
Search in Google Scholar Back to article
Combi C., Pozzani G., Pozzi G.: Telemedicine for Developing Countries. A Survey and Some Design Issues. Applied clinical informatics, 2016, 7: 1025–1050.
Search in Google Scholar Back to article
Davis K.L., Candrilli S.D., Edin H.M.: Prevalence and cost of nonadherence with antiepileptic drugs in an adult managed care population. Epilepsia, 2008, 49: 446–454.
Search in Google Scholar Back to article
Elsayed M., El-Sayed N., Badi S., Ahmed M.: Factors affecting adherence to antiepileptic medications among Sudanese individuals with epilepsy: A cross-sectional survey. Journal of Family Medicine and Primary Care, 2019, 8: 2312–2317.
Search in Google Scholar Back to article
Ernst L. de L., Harden C.L., Pennell P.B., Llewellyn N., Lau C., Barnard S. et al.: Medication adherence in women with epilepsy who are planning pregnancy. Epilepsia, 2016, 57: 2039–2044.
Search in Google Scholar Back to article
Escoffery C., McGee R., Bidwell J., Sims C., Thropp E.K., Frazier C., Mynatt E.D.: A review of mobile apps for epilepsy self-management. Epilepsy and Behav., 2018, 81: 62–69.
Search in Google Scholar Back to article
Fisher R.S., van Emde Boas W., Blume W., Elger C., Genton P., Lee P., Engel J., Jr: Epileptic seizures and epilepsy: definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia, 2005, 46: 470–472.
Search in Google Scholar Back to article
Fisher R.S., Acevedo C., Arzimanoglou A., Bogacz A., Cross J.H., Elger C.E. et al.: ILAE official report: a practical clinical definition of epilepsy. Epilepsia, 2014, 55: 475–482.
Search in Google Scholar Back to article
Fisher R.S., Blum D.E., Di Ventura B., Vannest J., Hixson J.D., Moss R. et al.: Seizure diaries for clinical research and practice: limitations and future prospects. Epilepsy and Behav., 2012, 24: 304–310.
Search in Google Scholar Back to article
Free C., Phillips G., Watson L., Galli L., Felix L., Edwards P. et al.: The Effectiveness of Mobile-Health Technologies to Improve Health Care Service Delivery Processes: A Systematic Review and Meta-Analysis. PLoS Med., 2013, 10: e10001363.
Search in Google Scholar Back to article
Gurol-Urganci I., Jongh T. de, Vodopivec-Jamsek V., Atun R., Car J.: Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database of Systematic Reviews, 2013, 12: CD007458.
Search in Google Scholar Back to article
Halford J.J., Sperling M.R., Nair D.R., Dlugos D.J., Tatum W.O., Harvey J. et al.: Detection of generalized tonic-clonic seizures using surface electromyographic monitoring. Epilepsia, 2017, 58: 1861–1869.
Search in Google Scholar Back to article
Hinman E.J.: The patient-carried personal health record. In: E.J. Hinmann (ed.), Advanced medical systems: the 3rd century. Miami Symposia Specialists, 1977: 55–62.
Search in Google Scholar Back to article
Hurt K., Walker R.J., Campbell J.A., Egede L.E.: mHealth Interventions in Low and Middle-Income Countries: A Systematic Review. Glob. J. Health Sci., 2016, 8: 54429.
Search in Google Scholar Back to article
Joshi A., Thorpe L., Waldron L.: Population Health Informatics: Driving Evidence-based solutions into practice. Jones & Bartlett Learning 2017.
Search in Google Scholar Back to article
Jory C., Shankar R., Coker D., McLean B., Hanna J., Newman C.: Safe and sound? A systematic literature review of seizure detection methods for personal use. Seizure, 2016, 36: 4–15.
Search in Google Scholar Back to article
Ameen K., Gorman G.E.: Information and digital literacy: a stumbling block to development? A Pakistan perspective. Library Management, 2009, 30: 99–112.
Search in Google Scholar Back to article
Karayiannis N.B., Xiong Y., Frost J.D.J., Wise M.S., Hrachovy R.A., Mizrahi E.M.: Automated detection of videotaped neonatal seizures based on motion tracking methods. Journal of Clinical Neurophysiology: official publication of the American Electroencephalographic Society, 2006, 23: 521–531.
Search in Google Scholar Back to article
Kramer U., Kipervasser S., Shlitner A., Kuzniecky R.: A novel portable seizure detection alarm system: preliminary results. Journal of Clinical Neurophysiology, 2011, 28: 36–38.
Search in Google Scholar Back to article
Krauss G.L., Crone N.E., Sirven J.I. et al., Johns Hopkins Epiwatch: app and research study (cited 2017). Available from http://www.hopkinsmedicine.org/epiwatch/index.html
Search in Google Scholar Back to article
Kwan P., Brodie M.J.: Early identification of refractory epilepsy. N. Engl. J. Med., 2000, 342: 314–319.
Search in Google Scholar Back to article
Le S., Shafer P.O., Bartfeld E., Fisher R.S.: An online diary for tracking epilepsy. Epilepsy and Behav., 2011, 22: 705–709.
Search in Google Scholar Back to article
Leenen L.A.M., Wijnen B.F.M., Kinderen R.J.A. de, Heugten C.M. van, Evers S.M.A.A., Majoie M.H.J.M.: Are people with epilepsy using eHealth-tools? Epilepsy and Behav., 2016, 64: 268–272.
Search in Google Scholar Back to article
Lockman J., Fisher R.S., Olson D.M.: Detection of seizure-like movements using a wrist accelerometer. Epilepsy and Behav., 2011, 20: 638–641.
Search in Google Scholar Back to article
Lustig T.A.: The Role of Telehealth in an Evolving Health Care Environment. Washington DC: The National Academies Press, 2012.
Search in Google Scholar Back to article
Marne F.A. Le, Butler S., Beavis E., Gill D., Bye A.M.E.: EpApp: Development and evaluation of a smartphone/tablet app for adolescents with epilepsy. Journal of Clinical Neuroscience, 2018, 50: 214–220.
Search in Google Scholar Back to article
Marcolino M.S., Oliveira J.A.Q., D’Agostino M., Ribeiro A.L., Alkmim M.B.M., Novillo-Ortiz D.: The impact of mHealth interventions: Systematic review of systematic reviews. JMIR mHealth uHealth, 2018, 6: e23.
Search in Google Scholar Back to article
Ngugi A.K., Bottomley C., Kleinschmidt I., Sander J.W., Newton C.R.: Estimation of the burden of active and life-time epilepsy: A meta-analytic approach. Epilepsia, 2010, 51: 883–890.
Search in Google Scholar Back to article
Onorati F., Regalia G., Caborni C., Migliorini M., Bender D., Poh M.Z. et al.: Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors. Epilepsia, 2017, 58: 1870–1879.
Search in Google Scholar Back to article
Patterson V.: Managing Epilepsy by Telemedicine in Resource-Poor Settings. Frontiers in Public Health, 2019, 7: 1–6.
Search in Google Scholar Back to article
Patterson V., Pant P., Gautam N., Bhandari A.: A Bayesian tool for epilepsy diagnosis in the resource-poor world: development and early validation. Seizure, 2014, 23: 567–569.
Search in Google Scholar Back to article
Ryvlin P., Beniczky S.: Seizure detection and mobile health devices in epilepsy: Update and future developments. Epilepsia, 2018, 59: 7–8.
Search in Google Scholar Back to article
Santo K., Richtering S.S., Chalmers J., Thiagalingam A., Chow C.K., Redfern J.: Mobile Phone Apps to Improve Medication Adherence: A Systematic Stepwise Process to Identify High-Quality Apps. JMIR mHealth uHealth, 2016, 4: e132.
Search in Google Scholar Back to article
Sezgin E., Özkan-Yildirim S., Yildirim S.: Investigation of physicians’ awareness and use of mHealth apps: A mixed method study. Health Policy and Technology, 2017, 6: 251–267.
Search in Google Scholar Back to article
Si Y., Xiao X., Xia C., Guo J., Hao Q., Mo Q.: Optimizing epilepsy management with a smartphone application: a randomized controlled trial. Medical Journal of Australia, 2020, 212: 258–262.
Search in Google Scholar Back to article
Stoyanov S.R., Hides L., Kavanagh D.J., Zelenko O., Tjondronegoro D., Mani M.: Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps. JMIR mHealth uHealth, 2015, 3: e27.
Search in Google Scholar Back to article
Szabó C.Á., Morgan L.C., Karkar K.M., Leary L.D., Lie O.V., Girouard M., Cavazos J.E.: Electromyography-based seizure detector: Preliminary results comparing a generalized tonic-clonic seizure detection algorithm to video-EEG recordings. Epilepsia, 2015, 56: 1432–1437.
Search in Google Scholar Back to article
Tatum W.O., Hirsch L.J., Gelfand M.A., Acton E.K., LaFrance W.C.J., Duckrow R.B.: Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures. JAMA Neurology, 2020, 77: 593–600.
Search in Google Scholar Back to article
Varshney U.: Mobile Health: Four Emerging Themes of Research. Decision Support Systems, 2014, 66: 20–35.
Search in Google Scholar Back to article
World Health Organization. 2003. Adherence to Long-Term Therapies evidence for Action URL: http://apps.who.int/iris/bitstream/10665/42682/1/9241545992.pdf
Search in Google Scholar Back to article

mHealth tools in the management of epilepsy

Abstract

Introduction.

Aim.

Discussion and Conclusions.

Paradigm

My account