Remote monitoring of patients with chronic consciousness impairment: from needs to capabilities. Cohort study

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

The problem of providing rehabilitation assistance to the population has been repeatedly discussed in the global community. One of the important events in recent years was the meeting of participants in «Rehabilitation 2030: Call to Action», where the problem of increasing dissatisfaction in rehabilitation services worldwide, especially in low- and middle-income countries, was discussed. The upward trend in the need for rehabilitation activities will increase in line with global trends in demographic change associated with the aging population and an increase in the number of people living with sequellae of diseases and injuries. The prevalence of health conditions associated with severe functional limitations, of which many are caused by non-communicable diseases, increased by 9.9% and affected almost 14 million people from 2006 to 2016 in the World Health Organization European Region. Devices for monitoring vital signs can become one of the potentially important components of effective rehabilitation with an increased number of technical means of rehabilitation. The constant transfer of these parameters to the cloud storage, followed by machine learning algorithm processing, will determine the prescribed drug therapy efficiency and determine the need for timely hospitalization for a medical organization. This study aimed to assess the needs of patients with a chronic consciousness impairment, and relatives caring for them, using the possibilities of remote monitoring. The study showed that the use of hospital-replacing outpatient equipment that records the vital signs of patients opens up new opportunities for consolidating the information into a big data archive to assess the treatment efficiency and the characteristics of patient rehabilitation with the implementation of the most optimal measures to influence the rehabilitation process approach.

Full Text

Restricted Access

About the authors

Ilya V. Borisov

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: realzel@gmail.com
ORCID iD: 0000-0002-5707-118X
SPIN-code: 7800-6446
Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534

Valeria A. Bondar

National Medical Research Center for Children's Health

Email: bondva23@gmail.com
ORCID iD: 0000-0002-3244-463X
SPIN-code: 6780-1309

Post-Graduate Student

Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534

Mikhail M. Kanarsky

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: kanarmm@yandex.ru
ORCID iD: 0000-0002-7635-1048
SPIN-code: 1776-1160
Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534

Yulia Yu. Nekrasova

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: nekrasova84@yandex.ru
ORCID iD: 0000-0002-4435-8501
SPIN-code: 8947-4230

Cand. Sci. (Technical)

Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534

Pranil Pradhan

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: pranilpr@yandex.ru
ORCID iD: 0000-0002-3505-7504
SPIN-code: 8647-4329
Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534

Viktoriya S. Sorokina

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology

Email: vsorokina@fnkcrr.ru
ORCID iD: 0000-0002-1490-1331
SPIN-code: 3407-1625
Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534

Marina V. Stern

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology; Institute of Higher Nervous Activity and Neurophysiology of RAS

Email: mstern@fnkcrr.ru
ORCID iD: 0000-0002-1345-5237

MD, Cand. Sci. (Med.)

Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534; Moscow

Nadezhda P. Shpichko

Federal Scientific and Clinical Center of Intensive Care Medicine and Rehabilitology; Peoples' Friendship University of Russia

Author for correspondence.
Email: shpichkonp@yandex.ru
ORCID iD: 0000-0003-3289-6107
SPIN-code: 5092-0536
Russian Federation, 777 Lytkino village, Solnechnogorsky district, Moscow region, 141534; Moscow

References

  1. Facts on disability [Internet]. World Health Organization [cited 2022 March 21]. Available from: https://www.euro.who.int/en/health-topics/Life-stages/disability-and-rehabilitation/data-and-statistics/facts-on-disability
  2. Database – Health – Eurostat [Internet]. European Commission [cited 2022 March 21]. Available from: https://ec.europa.eu/eurostat/web/health/data/database
  3. Annual Report on People with Disabilities in America [Internet]. University of New Hampshire: Institute on Disability; 2021 [cited 2022 Jul 5]. Available from: https://disabilitycompendium.org/sites/default/files/user-uploads/Events/2022ReleaseYear/Annual%20Report%20---%202021%20---%20WEB.pdf
  4. Polozhenie invalidov [Internet]. Rosstat [cited 2022 April 8]. Available from: https://rosstat.gov.ru/folder/13964. (In Russ).
  5. Rehabilitation [Internet]. World Health Organization [cited 2022 April 8]. Available from: https://www.who.int/ru/news-room/fact-sheets/detail/rehabilitation
  6. Limitations in Functioning due to Health and the Need for Rehabilitation [Internet]. World Health Organization [cited 2022 April 8]. Available from: https://www.euro.who.int/__data/assets/pdf_file/0009/444852/Limitations-in-Functioning-due-to-Health-eng.pdf
  7. Informatsionnyi byulleten’. Tseli v oblasti ustoichivogo razvitiya: zadachi v oblasti zdravookhraneniya. Reabilitatsiya [Internet]. World Health Organization [cited 2022 April 8]. Available from: https://www.euro.who.int/__data/assets/pdf_file/0007/425797/SDG-factsheet-Rehabilitation-Rus.pdf (In Russ).
  8. Gimigliano F, Negrini S. The World Health Organization «Rehabilitation 2030: a call for action». Eur J Phys Rehabil Med. 2017;53(2):155–168. doi: 10.23736/S1973-9087.17.04746-3
  9. Tekhnologii reabilitatsii: nauka i praktika. Materialy mezhdunarodnoi nauchnoi konferentsii; 2018 Apr 25–26; St. Petersburg. (In Russ). Available from: http://rehabperm.ru/wp-content/uploads/2018/05/Sbornik.pdf. Accessed Apr 8, 2022
  10. Berg Insight says 45.6 million patients worldwide are remotely monitored [Internet]. IoT Business News. Dec 21, 2021 [cited 2022 April 8]. Available from: https://iotbusinessnews.com/2021/12/21/64898-berg-insight-says-45-6-million-patients-worldwide-are-remotely-monitored/
  11. Berg Insight: The number of remotely-monitored patients hit 45.6M in 2020 [Internet]. IoT News. Dec 20, 2021 [cited 2022 April 8]. Available from: https://iottechnews.com/news/2021/dec/20/berg-insight-number-remotely-monitored-patients-hit-45-6m-in-2020/
  12. Shaderkin IA, Shaderkina VA. Remote health monitoring: motivating patients. Journal of Telemedicine and E-Health. 2020;(3):37–43. (In Russ). doi: 10.29188/2542-2413-2020-6-3-37-43
  13. Multi-Society Task Force on PVS. Medical aspects of the persistent vegetative state (1). N Engl J Med. 1994;330(21):1499–1508. doi: 10.1056/NEJM199405263302107
  14. Grills NJ, Hoq M, Wong CPP, et al. Disabled People’s Organisations increase access to services and improve well-being: evidence from a cluster randomized trial in North India. BMC Public Health. 2020;20(1):145. doi: 10.1186/s12889-020-8192-0
  15. Puzin SN, Grechko AV, Prianikov IV, et al. Protection of the Rights of Disabled People to Access Medicines. Adv Gerontol. 2019;9(1):56–61. doi: 10.1134/S2079057019010132
  16. Sarfo FS, Ulasavets U, Opare-Sem OK, Ovbiagele B. Tele-Rehabilitation after Stroke: An Updated Systematic Review of the Literature. J Stroke Cerebrovasc Dis. 2018;27(9):2306–2318. doi: 10.1016/j.jstrokecerebrovasdis.2018.05.013
  17. O’Young B, Gosney J, Ahn C. The Concept and Epidemiology of Disability. Phys Med Rehabil Clin N Am. 2019;30(4):697–707. doi: 10.1016/j.pmr.2019.07.012
  18. Ekspertnyi obzor. Industriya reabilitatsionnykh tekhnologii v Rossii i mire [Internet]. NII organizatsii zdravookhraneniya i meditsinskogo menedzhmenta, 2020 [cited 2022 April 8]. Available from: https://niioz.ru/doc/Industriya-reabilitacionnyh-tekhnologij-v-Rossii-i-mire.pdf (In Russ).
  19. Komar PA, Dmitriev VS, Ledyaeva AM, et al. Rating of artificial intelligence startups: prospects for healthcare in Russia. Russian Journal of Telemedicine and E-Health. 2021;7(3):32–41. (In Russ). doi: 10.29188/2712-9217-2021-7-3-32-41
  20. Tabi K, Randhawa AS, Choi F, et al. Mobile Apps for Medication Management: Review and Analysis. JMIR MHealth UHealth. 2019;7(9):e13608. doi: 10.2196/13608
  21. Bove LA. Increasing Patient Engagement Through the Use of Wearable Technology. J Nurse Pract. 2019;15(8):535–539. doi: 10.1016/j.nurpra.2019.03.018

Supplementary files

Supplementary Files
Action
1. Fig. 1. Flowchart of the patient status database.

Download (146KB)
2. Fig. 2. Methods of patient care.

Download (64KB)

Copyright (c) 2022 Eco-Vector



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: 01016 от 19.07.1995 г
СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ЭЛ № ФС 77 - 80632 от 15.03.2021 г
.



This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies