Barra laterale dell'articolo

Scarica
Abbonamento o quota di accesso PDF (EUR 5)
Statistica
Leggi contatore : 972 Scarica : 24

Contenuto dell'articolo principale

Abstract

 

INTRODUCTION: According to the World Health Organisation chronic diseases are the leading cause of mortality in the world, representing 60% of all deaths. Strategies employed to tackle chronic diseases aim to act on risk factors through adopting a healthy lifestyle. These strategies can be greatly implemented from the adoption of wearable devices, which allow a thorough and mini- mally invasive monitoring of patients' clinical data.This article aims to clarify whether wearable devices can help in preventing hospital readmission and improve quality of life in chronic patients.

METHODS: A literature search of electronic databases was performed in January 2017. The following databases were searched: The Cochrane Database of Systematic Reviews, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Pub Med, EMBASE and MEDLINE. RESULTS: 33 articles met the inclusion criteria and were included in the literature review. DISCUSSION: Various wearable devices are currently available to monitor and keep records of diffe- rent clinical information. Some of them are proved to prevent hospital re-admissions and to treat effectively life-threatening situations in certain categories of chronic patients. Higher level of acceptability and usability are achieved when users are involved in the testing stage prior to the release of the device and/or the features and terms of use are clearly described to patients and carers. Wearable devices are also proved to be more accurate than clinical assessment only in estimating the risk of falls in chronic patients, thus improving safety in the home care setting.Regardless of their features, wearable devices are yet to be used by both healthcare professionals and patients on a large scale.

KEYWORDS: wearable devices, chronic conditions, hospital admission prevention, safety, quality of life, healthcare professionals.

L'uso dei dispositivi indossabili nella prevenzione dei ripetuti ricoveri ospedalieri e nel miglioramento della qualità della vita dei pazienti cronici a domicilio. Una revisione narrativa della letteratura

ABSTRACT

INTRODUZIONE:Secondo l'Organizzazione Mondiale della Sanità (OMS) le malattie croniche sono la causa principale di mortalità nel mondo, rappresentando il 60% di tutte le morti. Le strategie impiegate per affrontare le malattie croniche agiscono sui fattori di rischio mediante l'adozione di un sano stile di vita. Queste strategie potrebbero grandemente beneficiare dell'adozione di moderne tecnologie che permettono un monitoraggio minimamente invasivo dei dati clinici dei pazienti. Questa revisione esplora le evidenze ottenute mediante una revisione di letteratura allo scopo di chiarire se i dispositivi indossabili possono aiutare nel prevenire i ripetuti ricoveri e miglio- rare la qualità della vita dei pazienti cronici.

METODO: Una ricerca della letteratura è stata effettuata nel gennaio del 2017 attraverso le seguenti banche dati elettroniche: Cochrane Database of Systematic Reviews, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Pub Med, EMBASE e MEDLINE.


RISULTATI : 33 articoli sono stati inclusi

DISCUSSIONE: Nonostante l'ampio numero di articoli sui dispositivi indossabili presenti in lette- ratura solo pochi cercano di far luce sui benefici clinici derivanti dall'adozione di questi apparecchi sui pazienti cronici dato che il maggior numero delle pubblicazioni è prettamente tecnico.
Un più elevato livello di accettabilità ed usabilità sono raggiunti quando gli utilizzatori sono coin- volti nella fase di prova prima del rilascio del dispositivo e/o le funzioni e i termini di uso sono chiaramente descritti ai pazienti e a coloro che se ne prendono cura. Oltre all'efficace trattamento di quadri clinici altamente pericolosi per la vita, i dispositivi indossabili hanno anche dimostrato di essere più accurati nella stima del rischio di cadute nei pazienti cronici rispetto alle sole valuta- zioni cliniche contribuendo così a migliorare la sicurezza nel contesto domiciliare. Nonostante le loro funzioni, i dispositivi indossabili non sono ancora utilizzati da professionisti sanitari e pazienti su vasta scala. Ulteriori studi sono necessari per comprendere come queste preziose tecnologie possano essere integrate nel sistema sanitario e come i dati clinici possano essere validamente condivisi tra pazienti e professionisti sanitari.

PAROLE CHIAVE: dispositivi indossabili, malattie croniche, prevenzione del ricovero ospedaliero, sicurezza, qualità della vita, professionisti della salute.

Dettagli dell'articolo

Come citare
Bonacaro, A., Rubbi, I., & Sookhoo, D. (2019). The use of wearable devices in preventing hospital readmission and in improving the quality of life of chronic patients in the homecare Setting: A Narrative Literature Review. PROFESSIONI INFERMIERISTICHE, 72(2). Recuperato da https://www.profinf.net/pro3/index.php/IN/article/view/631
Scarica citazione
Endnote/Zotero/Mendeley (RIS)
BibTeX

Riferimenti

  • Abbate, S., Avvenuti, M., & Light, J. (2014). Usability study of a wireless monitoring system among Alzheimer's disease elderly population. International journal of telemedicine and applications, 2014, 7.
  • Appelboom, G., Camacho, E., Abraham, M. E., Bruce, S. S., Dumont, E. L., Zacharia, B. E., ... & Connolly, E. S. (2014). Smart wearable body sensors for patient self-assessment and monitoring. Archives of Public Health, 72(1), 28.
  • Caudell, T., & Barfield, W. (2001). Basic Concepts in Wearable Computers and Augmented Reality. In Fundamentals of Wearable Computers and Augmented Reality (pp. 19-42). CRC Press.
  • Barwais, F. A., Cuddihy, T. F., & Tomson, L. M. (2013). Physical activity, sedentary behavior and total wellness changes among sedentary adults: a 4-week randomized controlled trial. Health and quality of life outcomes, 11(1), 183.
  • Batsis, J. A., Naslund, J. A., Gill, L. E., Masutani, R. K., Agarwal, N., & Bartels, S. J. (2016). Use of a wearable activity device in rural older obese adults: A pilot study. Gerontology and geriatric medicine, 2, 2333721416678076.
  • Belsi, A., Papi, E., & McGregor, A. H. (2016). Impact of wearable technology on psychosocial factors of osteoarthritis management: a qualitative study. BMJ open, 6(2), e010064.
  • Bonacaro, A. & Sookhoo, D. (2017). The effectiveness and usability of wearable devices in the prevention of hospital readmission in patients with chronic conditions: a comprehensive literature review. PROSPERO: International prospective register of systematic reviews.
  • De Medici, L. (2015). The History of wearable technology-past, present and future.
  • EDUCAUSE. (2013). 7 Things You Should Know About Wearable Technology. Retrieved from https://library.educause.edu /resources/2013/11/7-things-you-should-know-about- wearable-technology
  • Epstein, A. E., Abraham, W. T., Bianco, N. R., Kern, K. B., Mirro, M., Rao, S. V., ... & Szymkiewicz, S. J. (2013). Wearable cardioverter-defibrillator use in patients perceived to be at high risk early post-myocardial infarction. Journal of the American College of Cardiology, 62(21), 2000-2007.
  • Epstein, I., Aligato, A., Krimmel, T., & Mihailidis, A. (2016). Older Adults' and Caregivers' Perspectives on In-Home Monitoring Technology. Journal of gerontological nursing, 42(6), 43-50.
  • Erath, J. W., Vamos, M., Sirat, A. S., & Hohnloser, S. H. (2017). The wearable cardioverter-defibrillator in a real-world clinical setting: experience in 102 consecutive patients. Clinical Research in Cardiology, 106(4), 300-306.
  • Ferrari, M., Harrison, B., Rawashdeh, O., Rawashdeh, M., Hammond, R., & Maddens, M. (2012). A pilot study testing a fall prevention intervention for older adults: determining the feasibility of a five-sensor motion detection system. Journal of gerontological nursing, 38(1), 13-16.
  • Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., ... & Lien, D. H. (2016). Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis. Nature, 529(7587), 509.
  • Greenfield, R., Busink, E., Wong, C. P., Riboli-Sasco, E., Greenfield, G., Majeed, A., ... & Wark, P. A. (2016). Truck drivers' perceptions on wearable devices and health promotion: a qualitative study. BMC public health, 16(1), 677.
  • Howcroft, J., Kofman, J., Lemaire, E. D., & McIlroy, W. E. (2016a). Analysis of dual-task elderly gait in fallers and non- fallers using wearable sensors. Journal of biomechanics, 49(7), 992-1001.
  • Howcroft, J., Lemaire, E. D., & Kofman, J. (2016b). Wearable- sensor-based classification models of faller status in older adults. PLoS one, 11(4), e0153240.
  • Karapanos, E., Gouveia, R., Hassenzahl, M., & Forlizzi, J. (2016). Wellbeing in the making: peoples' experiences with wearable activity trackers. Psychology of well-being, 6(1), 4.
  • Kayyali, R., Savickas, V., Spruit, M. A., Kaimakamis, E., Siva, R., Costello, R. W., ... & Paradiso, R. (2016). Qualitative investigation into a wearable system for chronic obstructive pulmonary disease: the stakeholders' perspective. BMJ open, 6(8), e011657.
  • Kobsar, D., Osis, S. T., Phinyomark, A., Boyd, J. E., & Ferber, R. (2016). Reliability of gait analysis using wearable sensors in patients with knee osteoarthritis. Journal of biomechanics, 49(16), 3977-3982.
  • Kutyifa, V., Moss, A. J., Klein, H., Biton, Y., McNitt, S., MacKecknie, B., & Goldenberg, I. (2015). Use of the wearable cardioverter defibrillator in high-risk cardiac patients. Circulation, 132(17), 1613-1619
  • Mahoney, E.L. & Mahoney, D.F. (2010) Acceptance of Wearable Technology by People With Alzheimer's Disease: Issues and Accommodations. American Journal of Alzheimer's Disease & Other Dementias, 25(6), 527-531.
  • MasseÌ, F., Gonzenbach, R. R., Arami, A., Paraschiv-Ionescu, A., Luft, A. R., & Aminian, K. (2015). Improving activity recognition using a wearable barometric pressure sensor in mobility-impaired stroke patients. Journal of neuroengineering and rehabilitation, 12(1), 72.
  • Mercer, K., Giangregorio, L., Schneider, E., Chilana, P., Li, M., & Grindrod, K. (2016). Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR mHealth and uHealth, 4(1).
  • Mitrani, R. D., Mcardle, A., Slane, M., Cogan, J., & Myerburg, R. J. (2013). Wearable defibrillators in uninsured patients with newly diagnosed cardiomyopathy or recent revascularization in a community medical center. American heart journal, 165(3), 386-392.
  • Moon, Y., McGinnis, R. S., Seagers, K., Motl, R. W., Sheth, N., Wright Jr, J. A., ... & Sosnoff, J. J. (2017). Monitoring gait in multiple sclerosis with novel wearable motion sensors. PLoS One, 12(2), e0171346.
  • Moy, M. L., Garshick, E., Matthess, K. R., Lew, R. & Reilly, J.J. (2008). Accuracy of uniaxial accelerometer in chronic obstructive pulmonary disease. Journal of Rehabilitation Research and Development, 45(4), 611-7.
  • Moy, M., Matthess, K., Stolzmann, K., Reilly, J., & Garshick, E. (2009). Free-living physical activity in COPD: Assessment with accelerometer and activity checklist. Journal of Rehabilitation Research and Development, 46(2), 277-86.
  • Nascimento, F. O., Krishna, R. K., Hrachian, H., & Santana, O. (2013). Case Report: Wearable cardioverter defibrillator in stress cardiomyopathy and cardiac arrest. BMJ case reports, 2013.
  • Papi, E., Belsi, A., & McGregor, A. H. (2015). A knee monitoring device and the preferences of patients living with osteoarthritis: a qualitative study. BMJ open, 5(9), e007980.
  • Papi, E., Murtagh, G. M., & McGregor, A. H. (2016). Wearable technologies in osteoarthritis: a qualitative study of clinicians' preferences. BMJ open, 6(1), e009544.
  • Park, S., & Jayaraman, S. (2003). Enhancing the quality of life through wearable technology. IEEE Engineering in medicine and biology magazine, 22(3), 41-48.
  • Pedone, C., Chiurco, D., Scarlata, S., & Incalzi, R. A. (2013). Efficacy of multiparametric telemonitoring on respiratory outcomes in elderly people with COPD: a randomized controlled trial. BMC health services research, 13(1), 82. Peel, N. M., Paul, S. K., Cameron, I. D., Crotty, M., Kurrle, S. E., & Gray, L. C. (2016). Promoting activity in geriatric rehabilitation: a randomized controlled trial of accelerometry.
  • PloS one, 11(8), e0160906.
  • Piwek, L., Ellis, D. A., Andrews, S., & Joinson, A. (2016). The rise
  • of consumer health wearables: promises and barriers. PLoS
  • Medicine, 13(2), e1001953.
  • Romagnoli, M., Alis, R., Guillen, J., Basterra, J., Villacastin, J. P., &
  • Guillen, S. (2014). A novel device based on smart textile to control heart's activity during exercise. Australasian physical & engineering sciences in medicine, 37(2), 377-384.
  • Schwenk, M., Grewal, G. S., Honarvar, B., Schwenk, S., Mohler, J., Khalsa, D. S., & Najafi, B. (2014a). Interactive balance training integrating sensor-based visual feedback of movement performance: a pilot study in older adults. Journal of neuroengineering and rehabilitation, 11(1), 164.
  • Schwenk, M., Hauer, K., Zieschang, T., Englert, S., Mohler, J., & Najafi, B. (2014b). Sensor-derived physical activity parameters can predict future falls in people with dementia. Gerontology, 60(6), 483-492.
  • Stefani, L., Mascherini, G., Scacciati, I., De Luca, A., Maffulli, N., & Galanti, G. (2013). Positive effect of the use of accelerometry on lifestyle awareness of overweight hypertensive patients. Asian journal of sports medicine, 4(4), 241.
  • Thorp, E. (1998). The Invention of the First Wearable Computer. Retrieved 22 January 2017, from https://www.cs.virginia.edu /~evans/thorp.pdf
  • Williams, V., Victor, C. R., & McCrindle, R. (2013). It is always on your mind: experiences and perceptions of falling of older people and their carers and the potential of a mobile falls detection device. Current gerontology and geriatrics research, 2013.
  • Wilson, G., Jones, D., Schofield, P., & Martin, D. J. (2016). Experiences of using a wearable camera to record activity, participation and health-related behaviours: Qualitative reflections of using the Sensecam. Digital Health, 2, 2055207616682628.
  • World Health Organisation. (2005). Preventing chronic diseases: a vital investment. Retrieved from http://www.who.int/chp/ chronic_disease_report/en