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Published in: BMC Neurology 1/2020

01-12-2020 | Parkinson's Disease | Research article

Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms - a patient and healthcare professional perspective

Authors: Ghayth AlMahadin, Ahmad Lotfi, Eva Zysk, Francesco Luke Siena, Marie Mc Carthy, Philip Breedon

Published in: BMC Neurology | Issue 1/2020

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Abstract

Background

Parkinson’s disease is the second most common long-term chronic, progressive, neurodegenerative disease, affecting more than 10 million people worldwide. There has been a rising interest in wearable devices for evaluation of movement disorder diseases such as Parkinson’s disease due to the limitations in current clinic assessment methods such as Unified Parkinson’s Disease Rating Scale (UPDRS) and the Hoehn and Yahr (HY) scale. However, there are only a few commercial wearable devices available, which, in addition, have had very limited adoption and implementation. This inconsistency may be due to a lack of users’ perspectives in terms of device design and implementation. This study aims to identify the perspectives of healthcare professionals and patients linked to current assessment methods and to identify preferences, and requirements of wearable devices.

Methods

This was a qualitative study using semi-structured interviews followed by focus groups. Transcripts from sessions were analysed using an inductive thematic approach.

Results

It was noted that the well-known assessment process such as Unified Parkinson’s Disease Rating Scale (UPDRS) was not used routinely in clinics since it is time consuming, subjective, inaccurate, infrequent and dependent on patients’ memories. Participants suggested that objective assessment methods are needed to increase the chance of effective treatment. The participants’ perspectives were positive toward using wearable devices, particularly if they were involved in early design stages. Patients emphasized that the devices should be comfortable, but they did not have any concerns regarding device visibility or data privacy transmitted over the internet when it comes to their health. In terms of wearing a monitor, the preferable part of the body for all participants was the wrist. Healthcare professionals stated a need for an economical solution that is easy to interpret. Some design aspects identified by patients included clasps, material choice, and form factor.

Conclusion

The study concluded that current assessment methods are limited. Patients’ and healthcare professionals’ involvement in wearable devices design process has a pivotal role in terms of ultimate user acceptance. This includes the provision of additional functions to the wearable device, such as fall detection and medication reminders, which could be attractive features for patients.
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Literature
2.
go back to reference Jankovic J. Parkinson’s disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry. 2008; 79(4):368–76.CrossRefPubMed Jankovic J. Parkinson’s disease: clinical features and diagnosis. J Neurol Neurosurg Psychiatry. 2008; 79(4):368–76.CrossRefPubMed
3.
go back to reference Weintraub D, Comella CL, Horn S. Parkinson’s disease–part 1: Pathophysiology, symptoms, burden, diagnosis, and assessment. Am J Manag Care. 2008; 14(2 Suppl):40–48. Weintraub D, Comella CL, Horn S. Parkinson’s disease–part 1: Pathophysiology, symptoms, burden, diagnosis, and assessment. Am J Manag Care. 2008; 14(2 Suppl):40–48.
6.
go back to reference Caslake R, Taylor KS, Counsell CE. Parkinson’s disease misdiagnosed as stroke. Case Reports. 2009. Caslake R, Taylor KS, Counsell CE. Parkinson’s disease misdiagnosed as stroke. Case Reports. 2009.
7.
go back to reference Schapira AH, Obeso J. Timing of treatment initiation in parkinson’s disease: a need for reappraisal?Ann Neurol. 2006; 59(3):559–62.PubMedCrossRef Schapira AH, Obeso J. Timing of treatment initiation in parkinson’s disease: a need for reappraisal?Ann Neurol. 2006; 59(3):559–62.PubMedCrossRef
8.
go back to reference Seifert KD, Wiener JI. The impact of datscan on the diagnosis and management of movement disorders: A retrospective study. Am J Neurodegener Dis. 2013; 2(1):29.PubMedPubMedCentral Seifert KD, Wiener JI. The impact of datscan on the diagnosis and management of movement disorders: A retrospective study. Am J Neurodegener Dis. 2013; 2(1):29.PubMedPubMedCentral
9.
go back to reference Martinez-Martin P, Rodriguez-Blazquez C, Forjaz MJ, Chaudhuri KR. Guide to assessment scales in Parkinson’s disease. Tarporley, United Kingdom: Springer; 2014.CrossRef Martinez-Martin P, Rodriguez-Blazquez C, Forjaz MJ, Chaudhuri KR. Guide to assessment scales in Parkinson’s disease. Tarporley, United Kingdom: Springer; 2014.CrossRef
12.
go back to reference Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins GT, Counsell C, Giladi N, Holloway RG, Moore CG, Wenning GK, et al. Movement disorder society task force report on the hoehn and yahr staging scale: status and recommendations the movement disorder society task force on rating scales for parkinson’s disease. Mov Disord. 2004; 19(9):1020–8.PubMedCrossRef Goetz CG, Poewe W, Rascol O, Sampaio C, Stebbins GT, Counsell C, Giladi N, Holloway RG, Moore CG, Wenning GK, et al. Movement disorder society task force report on the hoehn and yahr staging scale: status and recommendations the movement disorder society task force on rating scales for parkinson’s disease. Mov Disord. 2004; 19(9):1020–8.PubMedCrossRef
13.
go back to reference Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R, et al. Movement disorder society-sponsored revision of the unified parkinson’s disease rating scale (mds-updrs): scale presentation and clinimetric testing results. Mov Disord Off J Mov Disord Soci. 2008; 23(15):2129–70.CrossRef Goetz CG, Tilley BC, Shaftman SR, Stebbins GT, Fahn S, Martinez-Martin P, Poewe W, Sampaio C, Stern MB, Dodel R, et al. Movement disorder society-sponsored revision of the unified parkinson’s disease rating scale (mds-updrs): scale presentation and clinimetric testing results. Mov Disord Off J Mov Disord Soci. 2008; 23(15):2129–70.CrossRef
14.
go back to reference Hoehn MM, Yahr MD, Others. Parkinsonism: onset, progression, and mortality. Neurology. 1998; 17(5):318.CrossRef Hoehn MM, Yahr MD, Others. Parkinsonism: onset, progression, and mortality. Neurology. 1998; 17(5):318.CrossRef
17.
go back to reference Bot BM, Suver C, Neto EC, Kellen M, Klein A, Bare C, Doerr M, Pratap A, Wilbanks J, Dorsey ER, et al. The mpower study, parkinson disease mobile data collected using researchkit. Sci data. 2016; 3(1):1–9.CrossRef Bot BM, Suver C, Neto EC, Kellen M, Klein A, Bare C, Doerr M, Pratap A, Wilbanks J, Dorsey ER, et al. The mpower study, parkinson disease mobile data collected using researchkit. Sci data. 2016; 3(1):1–9.CrossRef
18.
go back to reference Ossig C, Antonini A, Buhmann C, Classen J, Csoti I, Falkenburger B, Schwarz M, Winkler J, Storch A. Wearable sensor-based objective assessment of motor symptoms in parkinson’s disease. J Neural Transm. 2016; 123(1):57–64.PubMedCrossRef Ossig C, Antonini A, Buhmann C, Classen J, Csoti I, Falkenburger B, Schwarz M, Winkler J, Storch A. Wearable sensor-based objective assessment of motor symptoms in parkinson’s disease. J Neural Transm. 2016; 123(1):57–64.PubMedCrossRef
19.
go back to reference Silva de Lima AL, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ, Silva d. L., Hahn T, de Vries MN, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ. Large-scale wearable ensor deployment in parkinson’s patients: The parkinson@home study protocol. JMIR Res Protocol. 2016; 5(3):e172. https://doi.org/10.2196/resprot.5990.CrossRef Silva de Lima AL, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ, Silva d. L., Hahn T, de Vries MN, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ. Large-scale wearable ensor deployment in parkinson’s patients: The parkinson@home study protocol. JMIR Res Protocol. 2016; 5(3):e172. https://​doi.​org/​10.​2196/​resprot.​5990.CrossRef
22.
23.
go back to reference Fisher JM, Hammerla NY, Rochester L, Andras P, Walker RW. Body-worn sensors in parkinson’s disease: Evaluating their acceptability to patients. Telemed e-Health. 2016; 22(1):63–69.CrossRef Fisher JM, Hammerla NY, Rochester L, Andras P, Walker RW. Body-worn sensors in parkinson’s disease: Evaluating their acceptability to patients. Telemed e-Health. 2016; 22(1):63–69.CrossRef
27.
go back to reference De Lima ALS, Hahn T, Evers LJ, De Vries NM, Cohen E, Afek M, Bataille L, Daeschler M, Claes K, Boroojerdi B, et al. Feasibility of large-scale deployment of multiple wearable sensors in parkinson’s disease. PLoS ONE. 2017; 12(12):e0189161.CrossRef De Lima ALS, Hahn T, Evers LJ, De Vries NM, Cohen E, Afek M, Bataille L, Daeschler M, Claes K, Boroojerdi B, et al. Feasibility of large-scale deployment of multiple wearable sensors in parkinson’s disease. PLoS ONE. 2017; 12(12):e0189161.CrossRef
28.
go back to reference Chen H, Xue M, Mei Z, Bambang Oetomo S, Chen W. A review of wearable sensor systems for monitoring body movements of neonates. Sensors. 2016; 16(12):2134.CrossRefPubMedCentral Chen H, Xue M, Mei Z, Bambang Oetomo S, Chen W. A review of wearable sensor systems for monitoring body movements of neonates. Sensors. 2016; 16(12):2134.CrossRefPubMedCentral
29.
go back to reference Hubble RP, Naughton GA, Silburn PA, Cole MH. Wearable sensor use for assessing standing balance and walking stability in people with parkinson’s disease: a systematic review. PloS ONE. 2015; 10(4):e0123705.PubMedPubMedCentralCrossRef Hubble RP, Naughton GA, Silburn PA, Cole MH. Wearable sensor use for assessing standing balance and walking stability in people with parkinson’s disease: a systematic review. PloS ONE. 2015; 10(4):e0123705.PubMedPubMedCentralCrossRef
31.
go back to reference Johansson D, Malmgren K, Murphy MA. Wearable sensors for clinical applications in epilepsy, parkinson’s disease, and stroke: a mixed-methods systematic review. J Neurol. 2018; 265(8):1740–52.PubMedPubMedCentralCrossRef Johansson D, Malmgren K, Murphy MA. Wearable sensors for clinical applications in epilepsy, parkinson’s disease, and stroke: a mixed-methods systematic review. J Neurol. 2018; 265(8):1740–52.PubMedPubMedCentralCrossRef
32.
go back to reference Rovini E, Maremmani C, Cavallo F. How wearable sensors can support parkinson’s disease diagnosis and treatment: a systematic review. Front Neurosci. 2017; 11:555.PubMedPubMedCentralCrossRef Rovini E, Maremmani C, Cavallo F. How wearable sensors can support parkinson’s disease diagnosis and treatment: a systematic review. Front Neurosci. 2017; 11:555.PubMedPubMedCentralCrossRef
33.
go back to reference Hasan H, Athauda DS, Foltynie T, Noyce AJ. Technologies assessing limb bradykinesia in parkinson’s disease. J Parkinson’s Dis. 2017; 7(1):65–77.CrossRef Hasan H, Athauda DS, Foltynie T, Noyce AJ. Technologies assessing limb bradykinesia in parkinson’s disease. J Parkinson’s Dis. 2017; 7(1):65–77.CrossRef
34.
go back to reference Espay AJ, Hausdorff JM, Sánchez-Ferro Á, Klucken J, Merola A, Bonato P, Paul SS, Horak FB, Vizcarra JA, Mestre TA, et al. A roadmap for implementation of patient-centered digital outcome measures in parkinson’s disease obtained using mobile health technologies. Mov Disord. 2019; 34(5):657–63.PubMedPubMedCentralCrossRef Espay AJ, Hausdorff JM, Sánchez-Ferro Á, Klucken J, Merola A, Bonato P, Paul SS, Horak FB, Vizcarra JA, Mestre TA, et al. A roadmap for implementation of patient-centered digital outcome measures in parkinson’s disease obtained using mobile health technologies. Mov Disord. 2019; 34(5):657–63.PubMedPubMedCentralCrossRef
35.
go back to reference Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, Gonçalves N, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Serrano A, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W, Ferreira JJ. A systematic review of the characteristics and validity of monitoring technologies to assess parkinson’s disease. J NeuroEngineering Rehabil. 2016; 13(1):24. https://doi.org/10.1186/s12984-016-0136-7.CrossRef Godinho C, Domingos J, Cunha G, Santos AT, Fernandes RM, Abreu D, Gonçalves N, Matthews H, Isaacs T, Duffen J, Al-Jawad A, Larsen F, Serrano A, Weber P, Thoms A, Sollinger S, Graessner H, Maetzler W, Ferreira JJ. A systematic review of the characteristics and validity of monitoring technologies to assess parkinson’s disease. J NeuroEngineering Rehabil. 2016; 13(1):24. https://​doi.​org/​10.​1186/​s12984-016-0136-7.CrossRef
36.
go back to reference Odin P, Chaudhuri KR, Volkmann J, Antonini A, Storch A, Dietrichs E, Pirtošek Z, Henriksen T, Horne M, Devos D, Bergquist F. Viewpoint and practical recommendations from a movement disorder specialist panel on objective measurement in the clinical management of parkinson’s disease. NPJ Parkinson’s Dis. 2018; 4(1):14. https://doi.org/10.1038/s41531-018-0051-7.CrossRef Odin P, Chaudhuri KR, Volkmann J, Antonini A, Storch A, Dietrichs E, Pirtošek Z, Henriksen T, Horne M, Devos D, Bergquist F. Viewpoint and practical recommendations from a movement disorder specialist panel on objective measurement in the clinical management of parkinson’s disease. NPJ Parkinson’s Dis. 2018; 4(1):14. https://​doi.​org/​10.​1038/​s41531-018-0051-7.CrossRef
37.
go back to reference Money AG, Barnett J, Kuljis J, Craven MP, Martin JL, Young T. The role of the user within the medical device design and development process: medical device manufacturers’ perspectives. BMC Med Inform Decis Making. 2011; 11(1):15.CrossRef Money AG, Barnett J, Kuljis J, Craven MP, Martin JL, Young T. The role of the user within the medical device design and development process: medical device manufacturers’ perspectives. BMC Med Inform Decis Making. 2011; 11(1):15.CrossRef
38.
go back to reference Shah SGS, Robinson I, AlShawi S. Developing medical device technologies from users’ perspectives: a theoretical framework for involving users in the development process. Int J Technol Assess Health Care. 2009; 25(4):514–21.PubMedCrossRef Shah SGS, Robinson I, AlShawi S. Developing medical device technologies from users’ perspectives: a theoretical framework for involving users in the development process. Int J Technol Assess Health Care. 2009; 25(4):514–21.PubMedCrossRef
40.
go back to reference Sawyer D, Aziz K, Backinger C, Beers E, Lowery A, Sykes S. An introduction to human factors in medical devices. Department of Health and Human Services, US, Public Health Service, Food and Drug Administration, Center for Devices and Radiological Health. 1996. Sawyer D, Aziz K, Backinger C, Beers E, Lowery A, Sykes S. An introduction to human factors in medical devices. Department of Health and Human Services, US, Public Health Service, Food and Drug Administration, Center for Devices and Radiological Health. 1996.
41.
go back to reference Alwan M, Wiley D, Nobel J. State of technology in aging services. Center for Aging Services Technology (CAST). 2007. Alwan M, Wiley D, Nobel J. State of technology in aging services. Center for Aging Services Technology (CAST). 2007.
43.
go back to reference Hare J, Thomas G, Andrews C, Eggbeer D, et al. Generative participatory design for interactive medical devices. In: DS 84: Proceedings of the DESIGN 2016 14th International Design Conference. Dubrovnik: The Design Society’s: 2016. p. 1865–74. Hare J, Thomas G, Andrews C, Eggbeer D, et al. Generative participatory design for interactive medical devices. In: DS 84: Proceedings of the DESIGN 2016 14th International Design Conference. Dubrovnik: The Design Society’s: 2016. p. 1865–74.
44.
go back to reference Steen M, Kuijt-Evers L, Klok J. Early user involvement in research and design projects–a review of methods and practices. In: 23rd EGOS Colloquium, vol. 5. Vienna: European Group for Organizational Studies (EGOS): 2007. p. 1–21. Steen M, Kuijt-Evers L, Klok J. Early user involvement in research and design projects–a review of methods and practices. In: 23rd EGOS Colloquium, vol. 5. Vienna: European Group for Organizational Studies (EGOS): 2007. p. 1–21.
45.
go back to reference Bruno E, Simblett S, Lang A, Biondi A, Odoi C, Schulze-Bonhage A, Wykes T, Richardson MP, Consortium R-C, et al. Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals. Epilepsy Behav. 2018; 85:141–9.PubMedCrossRef Bruno E, Simblett S, Lang A, Biondi A, Odoi C, Schulze-Bonhage A, Wykes T, Richardson MP, Consortium R-C, et al. Wearable technology in epilepsy: The views of patients, caregivers, and healthcare professionals. Epilepsy Behav. 2018; 85:141–9.PubMedCrossRef
46.
go back to reference Ferreira JJ, Godinho C, Santos AT, Domingos J, Abreu D, Lobo R, Gonçalves N, Barra M, Larsen F, Fagerbakke Ø, et al. Quantitative home-based assessment of parkinson’s symptoms: The sense-park feasibility and usability study. BMC Neurol. 2015; 15(1):89.PubMedPubMedCentralCrossRef Ferreira JJ, Godinho C, Santos AT, Domingos J, Abreu D, Lobo R, Gonçalves N, Barra M, Larsen F, Fagerbakke Ø, et al. Quantitative home-based assessment of parkinson’s symptoms: The sense-park feasibility and usability study. BMC Neurol. 2015; 15(1):89.PubMedPubMedCentralCrossRef
47.
go back to reference Hoppe C, Feldmann M, Blachut B, Surges R, Elger CE, Helmstaedter C. Novel techniques for automated seizure registration: patients’ wants and needs. Epilepsy Behav. 2015; 52:1–7.PubMedCrossRef Hoppe C, Feldmann M, Blachut B, Surges R, Elger CE, Helmstaedter C. Novel techniques for automated seizure registration: patients’ wants and needs. Epilepsy Behav. 2015; 52:1–7.PubMedCrossRef
48.
go back to reference Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR mHealth uHealth. 2016; 4(1):7.CrossRef Mercer K, Giangregorio L, Schneider E, Chilana P, Li M, Grindrod K. Acceptance of commercially available wearable activity trackers among adults aged over 50 and with chronic illness: a mixed-methods evaluation. JMIR mHealth uHealth. 2016; 4(1):7.CrossRef
49.
go back to reference Ozanne A, Johansson D, Hällgren Graneheim U, Malmgren K, Bergquist F, Alt Murphy M. Wearables in epilepsy and parkinson’s disease-a focus group study. Acta Neurologica Scandinavica. 2018; 137(2):188–94.PubMedCrossRef Ozanne A, Johansson D, Hällgren Graneheim U, Malmgren K, Bergquist F, Alt Murphy M. Wearables in epilepsy and parkinson’s disease-a focus group study. Acta Neurologica Scandinavica. 2018; 137(2):188–94.PubMedCrossRef
50.
go back to reference Papi E, Belsi A, McGregor AH. A knee monitoring device and the preferences of patients living with osteoarthritis: a qualitative study. BMJ Open. 2015;5(9). Papi E, Belsi A, McGregor AH. A knee monitoring device and the preferences of patients living with osteoarthritis: a qualitative study. BMJ Open. 2015;5(9).
51.
go back to reference Peng G, Garcia LMS, Nunes M, Zhang N. Identifying user requirements of wearable healthcare technologies for chinese ageing population. In: 2016 IEEE International Smart Cities Conference (ISC2). Trento: IEEE: 2016. p. 1–6. Peng G, Garcia LMS, Nunes M, Zhang N. Identifying user requirements of wearable healthcare technologies for chinese ageing population. In: 2016 IEEE International Smart Cities Conference (ISC2). Trento: IEEE: 2016. p. 1–6.
52.
go back to reference Santiago A, Langston JW, Gandhy R, Dhall R, Brillman S, Rees L, Barlow C. Qualitative evaluation of the personal kinetigraph tm movement recording system in a parkinson’s clinic. J Parkinson’s Dis. 2019; 9(1):207–19.CrossRef Santiago A, Langston JW, Gandhy R, Dhall R, Brillman S, Rees L, Barlow C. Qualitative evaluation of the personal kinetigraph tm movement recording system in a parkinson’s clinic. J Parkinson’s Dis. 2019; 9(1):207–19.CrossRef
53.
go back to reference Simone LK, Sundarrajan N, Luo X, Jia Y, Kamper DG. A low cost instrumented glove for extended monitoring and functional hand assessment. J Neurosci Methods. 2007; 160(2):335–48.PubMedCrossRef Simone LK, Sundarrajan N, Luo X, Jia Y, Kamper DG. A low cost instrumented glove for extended monitoring and functional hand assessment. J Neurosci Methods. 2007; 160(2):335–48.PubMedCrossRef
54.
go back to reference Thilo FJ, Hahn S, Halfens RJ, Schols JM. Usability of a wearable fall detection prototype from the perspective of older people–a real field testing approach. J Clin Nurs. 2019; 28(1-2):310–20.PubMedCrossRef Thilo FJ, Hahn S, Halfens RJ, Schols JM. Usability of a wearable fall detection prototype from the perspective of older people–a real field testing approach. J Clin Nurs. 2019; 28(1-2):310–20.PubMedCrossRef
55.
go back to reference Xing F, Peng G, Liang T, Jiang J. Challenges for deploying iot wearable medical devices among the ageing population. In: International Conference on Distributed, Ambient, and Pervasive Interactions. Cham: Springer: 2018. p. 286–95. Xing F, Peng G, Liang T, Jiang J. Challenges for deploying iot wearable medical devices among the ageing population. In: International Conference on Distributed, Ambient, and Pervasive Interactions. Cham: Springer: 2018. p. 286–95.
56.
go back to reference Zhao Y, Heida T, van Wegen EE, Bloem BR, van Wezel RJ. E-health support in people with parkinson’s disease with smart glasses: a survey of user requirements and expectations in the netherlands. J Parkinson’s Dis. 2015; 5(2):369–78.CrossRef Zhao Y, Heida T, van Wegen EE, Bloem BR, van Wezel RJ. E-health support in people with parkinson’s disease with smart glasses: a survey of user requirements and expectations in the netherlands. J Parkinson’s Dis. 2015; 5(2):369–78.CrossRef
57.
go back to reference Beiske B. Research methods. Uses and limitations of questionnaires, interviews, and case studies. BoD–Books on Demand. Munich: GRINVerlag; 2007. Beiske B. Research methods. Uses and limitations of questionnaires, interviews, and case studies. BoD–Books on Demand. Munich: GRINVerlag; 2007.
59.
go back to reference Braun V, Clarke V. Successful qualitative research: a practical guide for beginners. London: sage; 2013. Braun V, Clarke V. Successful qualitative research: a practical guide for beginners. London: sage; 2013.
60.
go back to reference Lambert SD, Loiselle CG. Combining individual interviews and focus groups to enhance data richness. J Adv Nurs. 2008; 62(2):228–37.CrossRefPubMed Lambert SD, Loiselle CG. Combining individual interviews and focus groups to enhance data richness. J Adv Nurs. 2008; 62(2):228–37.CrossRefPubMed
61.
go back to reference Jellinger KA, Logroscino G, Rizzo G, Copetti M, Arcuti S, Martino D, Fontana A. Accuracy of clinical diagnosis of parkinson disease: A systematic review and meta-analysisauthor response. Neurology. 2016; 87(2):237–8.PubMedCrossRef Jellinger KA, Logroscino G, Rizzo G, Copetti M, Arcuti S, Martino D, Fontana A. Accuracy of clinical diagnosis of parkinson disease: A systematic review and meta-analysisauthor response. Neurology. 2016; 87(2):237–8.PubMedCrossRef
62.
go back to reference Small SA. Age-related memory decline: current concepts and future directions. Arch Neurol. 2001; 58(3):360–4.PubMedCrossRef Small SA. Age-related memory decline: current concepts and future directions. Arch Neurol. 2001; 58(3):360–4.PubMedCrossRef
63.
go back to reference Amanzio M, Monteverdi S, Giordano A, Soliveri P, Filippi P, Geminiani G. Impaired awareness of movement disorders in parkinson’s disease. Brain Cogn. 2010; 72(3):337–46.PubMedCrossRef Amanzio M, Monteverdi S, Giordano A, Soliveri P, Filippi P, Geminiani G. Impaired awareness of movement disorders in parkinson’s disease. Brain Cogn. 2010; 72(3):337–46.PubMedCrossRef
64.
go back to reference de Lima ALS, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ. Large-scale wearable sensor deployment in parkinson’s patients: the parkinson@ home study protocol. JMIR Res Protocol. 2016; 5(3):172.CrossRef de Lima ALS, Hahn T, de Vries NM, Cohen E, Bataille L, Little MA, Baldus H, Bloem BR, Faber MJ. Large-scale wearable sensor deployment in parkinson’s patients: the parkinson@ home study protocol. JMIR Res Protocol. 2016; 5(3):172.CrossRef
65.
go back to reference Vassli LT, Farshchian BA. Acceptance of health-related ICT among elderly people living in the community: A systematic review of qualitative evidence. Int J Hum Comput Interact. 2018; 34(2):99–116.CrossRef Vassli LT, Farshchian BA. Acceptance of health-related ICT among elderly people living in the community: A systematic review of qualitative evidence. Int J Hum Comput Interact. 2018; 34(2):99–116.CrossRef
66.
go back to reference Gövercin M, Költzsch Y, Meis M, Wegel S, Gietzelt M, Spehr J, Winkelbach S, Marschollek M, Steinhagen-Thiessen E. Defining the user requirements for wearable and optical fall prediction and fall detection devices for home use. Inform Health Soc Care. 2010; 35(3-4):177–87.PubMedCrossRef Gövercin M, Költzsch Y, Meis M, Wegel S, Gietzelt M, Spehr J, Winkelbach S, Marschollek M, Steinhagen-Thiessen E. Defining the user requirements for wearable and optical fall prediction and fall detection devices for home use. Inform Health Soc Care. 2010; 35(3-4):177–87.PubMedCrossRef
67.
go back to reference Profita HP, Clawson J, Gilliland S, Zeagler C, Starner T, Budd J, Do EY-L. Don’t mind me touching my wrist: a case study of interacting with on-body technology in public. In: Proceedings of the 2013 International Symposium on Wearable Computers: 2013. p. 89–96. Profita HP, Clawson J, Gilliland S, Zeagler C, Starner T, Budd J, Do EY-L. Don’t mind me touching my wrist: a case study of interacting with on-body technology in public. In: Proceedings of the 2013 International Symposium on Wearable Computers: 2013. p. 89–96.
69.
go back to reference Charlton GS, Barrow CJ. Coping and self-help group membership in parkinson’s disease: an exploratory qualitative study. Health Soc Care Community. 2002; 10(6):472–8.PubMedCrossRef Charlton GS, Barrow CJ. Coping and self-help group membership in parkinson’s disease: an exploratory qualitative study. Health Soc Care Community. 2002; 10(6):472–8.PubMedCrossRef
70.
go back to reference Caap-Ahlgren M, PhD LL, Ove Dehlin M. Older swedish women’s experiences of living with symptoms related to parkinson’s disease. J Adv Nurs. 2002; 39(1):87–95.PubMedCrossRef Caap-Ahlgren M, PhD LL, Ove Dehlin M. Older swedish women’s experiences of living with symptoms related to parkinson’s disease. J Adv Nurs. 2002; 39(1):87–95.PubMedCrossRef
71.
go back to reference Nijhof G. Parkinson’s disease as a problem of shame in public appearance. Sociol Health Illn. 1995; 17(2):193–205.CrossRef Nijhof G. Parkinson’s disease as a problem of shame in public appearance. Sociol Health Illn. 1995; 17(2):193–205.CrossRef
72.
go back to reference Thordardottir B, Nilsson MH, Iwarsson S, Haak M. “you plan, but you never know”–participation among people with different levels of severity of parkinson’s disease. Disabil Rehabil. 2014; 36(26):2216–24.PubMedCrossRef Thordardottir B, Nilsson MH, Iwarsson S, Haak M. “you plan, but you never know”–participation among people with different levels of severity of parkinson’s disease. Disabil Rehabil. 2014; 36(26):2216–24.PubMedCrossRef
73.
go back to reference Mancini M, El-Gohary M, Pearson S, McNames J, Schlueter H, Nutt JG, King LA, Horak FB. Continuous monitoring of turning in parkinson’s disease: rehabilitation potential. NeuroRehabilitation. 2015; 37(1):3–10.PubMedPubMedCentralCrossRef Mancini M, El-Gohary M, Pearson S, McNames J, Schlueter H, Nutt JG, King LA, Horak FB. Continuous monitoring of turning in parkinson’s disease: rehabilitation potential. NeuroRehabilitation. 2015; 37(1):3–10.PubMedPubMedCentralCrossRef
74.
go back to reference Downey C, Brown J, Jayne D, Randell R. Patient attitudes towards remote continuous vital signs monitoring on general surgery wards: an interview study. Int J Med Inform. 2018; 114:52–56.PubMedCrossRef Downey C, Brown J, Jayne D, Randell R. Patient attitudes towards remote continuous vital signs monitoring on general surgery wards: an interview study. Int J Med Inform. 2018; 114:52–56.PubMedCrossRef
75.
go back to reference Allen NE, Schwarzel AK, Canning CG. Recurrent falls in parkinson’s disease: a systematic review. Parkinson’s Dis. 2013;2013. Allen NE, Schwarzel AK, Canning CG. Recurrent falls in parkinson’s disease: a systematic review. Parkinson’s Dis. 2013;2013.
Metadata
Title
Parkinson’s disease: current assessment methods and wearable devices for evaluation of movement disorder motor symptoms - a patient and healthcare professional perspective
Authors
Ghayth AlMahadin
Ahmad Lotfi
Eva Zysk
Francesco Luke Siena
Marie Mc Carthy
Philip Breedon
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Neurology / Issue 1/2020
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-020-01996-7

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