- 1Department of Chinese Medicine, Naval Special Medical Center, Naval Medical University, Shanghai, China
- 2School of Kinesiology, Shanghai University of Sport, Shanghai, China
Introduction
With the advent of the twenty-first century, the global population is aging at an unprecedented rate. European countries, such as Portugal, Germany, and Italy, are the hardest-hit areas (1). The aging population profoundly affects the economic growth and pattern of resource allocation accompanied by high-risk neurodegenerative diseases, such as Parkinson's disease (PD) (2, 3).
PD is a common progressive neurodegenerative disease in the elderly. Its main clinical manifestations include resting tremor, muscle stiffness, postural instability, freezing gait, and bradykinesia (4). Moreover, non-motor symptoms may appear at the early phase of PD (5, 6). Studies have shown that the incidence of PD is closely related to age and male patients are more susceptible than female patients (7, 8). By 2030, ~9 million people over the age of 50 will receive a diagnosis of PD in the world, and China will account for half of this population (9, 10). PD not only brings a great physical and psychological burden to the individuals with PD but also greatly reduces the family members' quality of life in long-term family care (2, 11). PD severely reduces cognitive and memory abilities, which often cause difficulties, such as irregular or wrong medication. As is known to all, bradykinesia is the main feature of PD, which may lead to poor compliance with the daily rehabilitation recommended by their doctors (12). Therefore, PD urgently needs a way of medication management and rehabilitation training guidance in a family setting.
However, early diagnosed patients as well as those at the middle stages of PD can still manage this disease specifically by regulating medication and changing their lifestyles with little or no support (13). An active home care plan is an effective strategy to cope with PD, helping individuals with PD manage their condition, improve their quality of life, and live independently (14). The high-speed development of mobile health (mHealth) provides a good prospect for the management of chronic diseases. There are more and more elderly people using smartphones in the world, which have become an important prerequisite for patients to actively participate in mHealth (15). At present, mHealth has been used in the fields of hypertension, diabetes, and cardiovascular diseases (16), and it plays a role in improving health management compliance, symptom management, and social support for individuals with chronic diseases (17).
Users and developers are realizing the potential of applications, and it is estimated that there are more than 40,000 health-related applications on the market (18). However, many applications are not designed to meet the specific needs of PD or their caregivers; hence, only a few studies provide distinctive answers (19). Liao et al. (20) also confirmed this finding. They pointed out that elderly people with PD are willing to adopt new technologies only if they meet their needs and expectations. The main obstacles seem to be lack of technical knowledge and skills, negative attitudes toward the use of this technology, and inaccurate perceptions of people with PD (21, 22). Besides, the lack of general clinical trial evidence supporting smartphone applications and interventions that address the needs of the PD population proved to be prominent (23, 24).
Nevertheless, it is possible to manage PD based on smartphone applications (25, 26). Smartphone applications just make up for the lack of disease management in a home setting. With appropriate training and strategies, technology may enable self-management of PD, including medication management and rehabilitation training in the home environment (27). Mobile applications have the potential to improve the accuracy of assessing the severity of PD, which may be more standardized than the traditional subjective assessment (28). The very positive feature of mobile phones is that they do not have any extra burden for the people who use or wear them (29). Due to their ubiquitous nature, mobile phones can collect a large amount of various data (e.g., physiological or behavioral). These data can then provide decisions about treatment options and monitoring responses (30). Compared with active testing, application-based data collection and analysis may be more objective, which also facilitates the evaluation of patients in remote areas (31).
Users of mobile phone applications can easily download software programs to mobile devices with Internet capabilities. These programs can help doctors monitor and evaluate the symptoms of PD and also support the management of the individuals' daily life, including interacting with doctors, arranging their daily activities or making appointments, rehabilitation training, and managing medication (32). Therefore, the purpose of this article is to discuss the potential of smartphone applications for the management of PD in a family setting.
Recent Findings on the Use of Smartphone Apps for the Management of PD
Although there are only a few randomized controlled studies on the use of smartphone apps for the management of PD (33), smartphone apps have a promising potential to enhance home care plans for individuals with PD, especially to improve their medication and rehabilitation training compliance (34, 35). The meta-analysis shows that smartphone applications have been used in the daily management of many diseases and have achieved good results in medication compliance (36, 37).
PD severely reduces the memory and cognitive abilities of individuals, which increases the risk of overdose, underdose, and forgetting to take the drug (38). Gao et al. (39) designed a mobile application called Care-PD, which is dedicated to solving the problems of medication management for individuals with PD and such glitches that involve failing to take drugs and or taking the wrong medicine. Among them, the medication management function of the smartphone applications is centered on patients and caregivers, encouraging them to actively record medications, thus setting the name of the medication, medication dosage, medication time, and adverse reaction records. Meanwhile, patients can upload their information to the doctor through the application platform, strengthen their interaction with the doctor, adjust the medication plan in time, and strengthen the patient's self-management. The medication reminder function can increase medication compliance (19, 32). Hu et al. (19) also confirmed this point through their research in which 204 individuals with PD aged 52–87 were questioned about their attitudes toward self-management using smartphone applications, and the results were positive. However, their research also found that elderly people with high education and young people are more likely to accept smartphone applications for self-management. Furthermore, a multicenter randomized controlled trial by Lakshminarayana et al. (32) described the positive effects of a 16-week smartphone application use on short-term self-reported medication compliance and quality of clinical consultation in individuals with PD.
In many countries, health care services are mainly provided in a hospital setting, which may cause transportation and time inconveniences to individuals with PD (40). ParkinsonNet in the Netherlands extends the professional management of PD from the hospital to the community and even to the patient's family (41). This revolutionary management method connects PD patients with health care professionals, encourages patients to take the initiative to manage their health, and has achieved results in reducing falls and fractures (42). In addition, this smartphone-based model can provide better care for individuals with PD and save medical care costs. It has attracted the attention of patients and caregivers in many countries (43). Another practical solution, home-centered community-centered integrated care (iCARE-PD), utilizes the potential of smartphone applications and has a direct impact on clinical practice (44). Besides, iCARE-PD increases the chances of caring for individuals with PD by optimizing their cost, especially in rural areas or low-income countries with potential benefits (45).
Recent findings indicate that wearable devices connected to smartphone apps can monitor patients' motion and non-motor symptoms, which is helpful for doctors to have a more comprehensive understanding of the patient's condition (46). PD_Manager is a mobile health platform designed to cover most of the content related to PD's home management (46). Its mechanism includes the use of a bracelet and an insole sensor that connect to a smartphone to monitor the patient without interference, which helps doctors to have a more comprehensive understanding of the patient's condition. As Motolese et al. (25) point out, most patients are satisfied with the monitoring program provided by smartphones, but its substantial effect needs further verification.
Rehabilitation training is an important part of the daily management of PD. Exercise therapy is beneficial to the motor symptoms and balance ability of individuals with PD (47). However, going to the hospital for rehabilitation may involve the inconvenience of transportation or time. Generally speaking, in the early stages of PD, which is Hoehn and Yahr stages 1–2.5, mobile applications can help individuals with PD to achieve rehabilitation training in a home setting (48). It is worth mentioning that smartphone applications can promote the completion of a rehabilitation plan for individuals with PD in a variety of interesting ways.
Ginis et al. (49) conducted a study on gait training for individuals with PD based on a smartphone application (CuPiD-system). Their results revealed that smartphone-based walking feedback training had similar effects to conventional gait training in terms of balance ability and maintaining the quality of life. This benefit can be attributed to real-time feedback and stimulation of corrective actions. Lopez et al. (50) showed that rhythmic music can improve the gait of PD. An application called Listenmee was used in their research to produce auditory rhythm cues that match the patient's step frequency to improve a PD individual's gait. However, the process of visual and auditory cues requires more attention, communication, and spatial orientation than that of tactile cues (51). Tactile cues may be a more effective means to regulate motor cognitive performance. This is the same as the results of the study by Ivkovic et al. (52), who found that the use of smartphone-based tactile cues can adjust the performance of simple (sitting heel flaps) and complex (straight-line walking) motor tasks in individuals with PD.
Conclusion
During the outbreak of coronavirus disease 2019 (COVID-19), the application value of Internet medical care was fully demonstrated. The smartphone application is an important part of Internet medical care. They are popular with patients for their convenience and low cost. With the continuous improvement of technology, management applications for PD are gradually developed and tested. The authors of this opinion article point out that the management function based on the smartphone app can strengthen medication management and rehabilitation guidance in a home setting and reduce the physical and psychological burden of caregivers. However, the management and evaluation functions of the current applications are only applicable to a small scale, and there is a lack of evidence-based clinical verification on a larger scale. Individuals' compliance with smartphone applications requires further research and observation.
Many smartphone applications are not designed to meet the specific needs of PD. Companies that develop mobile applications related to PD should focus on meeting the specific needs of individuals with PD and strengthen medication management and rehabilitation guidance in a family setting. Building a smartphone-based PD assessment and management model not only provides a possible platform for improving home care plans and quality of life but also helps to solve the negative impact of an aging society and has high scientific and social value.
Author Contributions
SG and HJ conceived the manuscript and revised the drafts. TZ and LD wrote the first draft. All authors contributed to the article and approved the submitted version.
Funding
The paper was supported by the Shanghai Sports Science and Technology Project (No. 21Q010).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1. Partridge L, Deelen J, Slagboom PE. Facing up to the global challenges of ageing. Nature. (2018) 561:45–56. doi: 10.1038/s41586-018-0457-8
2. GBD 2016 Parkinson's Disease Collaborators. Global, regional, and national burden of Parkinson's disease, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol. (2018) 17:939–53. doi: 10.1016/S1474-4422(18)30295-3
3. McLean AJ, Le Couteur DG. Aging biology and geriatric clinical pharmacology. Pharmacol Rev. (2004) 56:163–84. doi: 10.1124/pr.56.2.4
4. Lees AJ, Hardy J, Revesz T. Parkinson's disease. Lancet. (2009) 373:2055–66. doi: 10.1016/S0140-6736(09)60492-X
5. Dickson DW. Parkinson's disease and parkinsonism: neuropathology. Cold Spring Harb Perspect Med. (2012) 2:a009258. doi: 10.1101/cshperspect.a009258
6. Chaudhuri KR, Odin P, Antonini A, Martinez-Martin P. Parkinson's disease: the non-motor issues. Parkinsonism Relat Disord. (2011) 17:717–23. doi: 10.1016/j.parkreldis.2011.02.018
7. Rodriguez M, Rodriguez-Sabate C, Morales I, Sanchez A, Sabate M. Parkinson's disease as a result of aging. Aging Cell. (2015) 14:293–308. doi: 10.1111/acel.12312
8. Georgiev D, Hamberg K, Hariz M, Forsgren L, Hariz GM. Gender differences in Parkinson's disease: a clinical perspective. Acta Neurol Scand. (2017) 136:570–84. doi: 10.1111/ane.12796
9. Benitez BA, Davis AA, Jin SC, Ibanez L, Ortega-Cubero S, Pastor P, et al. Resequencing analysis of five Mendelian genes and the top genes from genome-wide association studies in Parkinson's Disease. Mol Neurodegener. (2016) 11:29. doi: 10.1186/s13024-016-0097-0
10. Li G, Ma J, Cui S, He Y, Xiao Q, Liu J, et al. Parkinson's disease in China: a 40-year growing track of bedside work. Transl Neurodegener. (2019) 8:22. doi: 10.1186/s40035-019-0162-z
11. Tessitore A, Marano P, Modugno N, Pontieri FE, Tambasco N, Canesi M, et al. Caregiver burden and its related factors in advanced Parkinson's disease: data from the PREDICT study. J Neurol. (2018) 265:1124–37. doi: 10.1007/s00415-018-8816-9
12. Schootemeijer S, van der Kolk NM, Ellis T, Mirelman A, Nieuwboer A, Nieuwhof F, et al. Barriers and Motivators to Engage in Exercise for Persons with Parkinson's disease. J Parkinsons Dis. (2020) 10:1293–9. doi: 10.3233/JPD-202247
13. Mahlknecht P, Seppi K, Poewe W. The concept of prodromal Parkinson's disease. J Parkinsons Dis. (2015) 5:681–97. doi: 10.3233/JPD-150685
14. Csoti I, Jost WH, Reichmann H. Parkinson's disease between internal medicine and neurology. J Neural Transm. (2016) 123:1443. doi: 10.1007/s00702-015-1443-z
15. Klimova B, Valis M. Smartphone applications can serve as effective cognitive training tools in healthy aging. Front Aging Neurosci. (2017) 9:436. doi: 10.3389/fnagi.2017.00436
16. Kim H-S, Hwang Y, Lee J-H, Oh HY, Kim Y-J, Kwon HY, et al. Future prospects of health management systems using cellular phones. Telemed J E Health. (2014) 20:544–51. doi: 10.1089/tmj.2013.0271
17. Willcox M, Moorthy A, Mohan D, Romano K, Hutchful D, Mehl G, et al. Mobile technology for community health in ghana: is maternal messaging and provider use of technology cost-effective in improving maternal and child health outcomes at scale? J Med Internet Res. (2019) 21:e11268. doi: 10.2196/11268
18. Boulos MNK, Brewer AC, Karimkhani C, Buller DB, Dellavalle RP. Mobile medical and health apps: state of the art, concerns, regulatory control and certification. Online J Public Health Inform. (2014) 5:229. doi: 10.5210/ojphi.v5i3.4814
19. Hu J, Yuan DZ, Zhao QY, Wang XF, Zhang XT, Jiang QH, et al. Acceptability and practicability of self-management for patients with Parkinson's disease based on smartphone applications in China. BMC Med Inform Decis Mak. (2020) 20:183. doi: 10.1186/s12911-020-01187-x
20. Liao J, Xiao H-Y, Li X-Q, Sun S-H, Liu S-X, Yang Y-J, et al. A social group-based information-motivation-behavior skill intervention to promote acceptability and adoption of wearable activity trackers among middle-aged and older adults: cluster randomized controlled trial. JMIR Mhealth Uhealth. (2020) 8:e14969. doi: 10.2196/14969
21. Yusif S, Soar J, Hafeez-Baig A. Older people, assistive technologies, and the barriers to adoption: a systematic review. Int J Med Inform. (2016) 94:112–6. doi: 10.1016/j.ijmedinf.2016.07.004
22. Sarkar U, Gourley GI, Lyles CR, Tieu L, Clarity C, Newmark L, et al. Usability of Commercially Available Mobile Applications for Diverse Patients. J Gen Intern Med. (2016) 31:1417–26. doi: 10.1007/s11606-016-3771-6
23. Singh K, Drouin K, Newmark LP, Filkins M, Silvers E, Bain PA, et al. Patient-facing mobile apps to treat high-need, high-cost populations: a scoping review. JMIR Mhealth Uhealth. (2016) 4:e136. doi: 10.2196/mhealth.6445
24. Zhang MWB, Chan S, Wynne O, Jeong S, Hunter S, Wilson A, et al. Conceptualization of an evidence-based smartphone innovation for caregivers and persons living with dementia. Technol Health Care. (2016) 24:769–73. doi: 10.3233/THC-161165
25. Motolese F, Magliozzi A, Puttini F, Rossi M, Capone F, Karlinski K, et al. Parkinson's disease remote patient monitoring during the COVID-19 lockdown. Front Neurol. (2020) 11:567413. doi: 10.3389/fneur.2020.567413
26. Linares-Del Rey M, Vela-Desojo L, Cano-de la Cuerda R. Mobile phone applications in Parkinson's disease: a systematic review. Neurologia. (2019) 34:38–54. doi: 10.1016/j.nrleng.2018.12.002
27. Ratti P-L, Faraci F, Hackethal S, Mascheroni A, Ferlito C, Caverzasio S, et al. A new prospective, home-based monitoring of motor symptoms in Parkinson's disease. J Parkinsons Dis. (2019) 9:803–9. doi: 10.3233/JPD-191662
28. Serra-Añó P, Pedrero-Sánchez JF, Inglés M, Aguilar-Rodríguez M, Vargas-Villanueva I, López-Pascual J. Assessment of functional activities in individuals with Parkinson's disease using a simple and reliable smartphone-based procedure. Int J Environ Res Public Health. (2020) 17:14123. doi: 10.3390/ijerph17114123
29. Joe J, Demiris G. Older adults and mobile phones for health: a review. J Biomed Inform. (2013) 46:947–54. doi: 10.1016/j.jbi.2013.06.008
30. Areàn PA, Hoa Ly K, Andersson G. Mobile technology for mental health assessment. Dialogues Clin Neurosci. (2016) 18:163–9. doi: 10.31887/DCNS.2016.18.2/parean
31. Schreiber SS. Teleneurology for veterans in a major metropolitan area. Telemed J E Health. (2018) 24:698–701. doi: 10.1089/tmj.2017.0202
32. Lakshminarayana R, Wang D, Burn D, Chaudhuri KR, Galtrey C, Guzman NV, et al. Using a smartphone-based self-management platform to support medication adherence and clinical consultation in Parkinson's disease. NPJ Parkinsons Dis. (2017) 3:2. doi: 10.1038/s41531-017-0034-0
33. Zapata BC, Fernández-Alemán JL, Idri A, Toval A. Empirical studies on usability of mHealth apps: a systematic literature review. J Med Syst. (2015) 39:1. doi: 10.1007/s10916-014-0182-2
34. Dorsey ER, Yvonne Chan Y-F, McConnell MV, Shaw SY, Trister AD, Friend SH. The use of smartphones for health research. Acad Med. (2017) 92:157–60. doi: 10.1097/ACM.0000000000001205
35. Ramey L, Osborne C, Kasitinon D, Juengst S. Apps and mobile health technology in rehabilitation: the good, the bad, and the unknown. Phys Med Rehabil Clin N Am. (2019) 30:485–97. doi: 10.1016/j.pmr.2018.12.001
36. Armitage LC, Kassavou A, Sutton S. Do mobile device apps designed to support medication adherence demonstrate efficacy? A systematic review of randomised controlled trials, with meta-analysis. BMJ Open. (2020) 10:e032045. doi: 10.1136/bmjopen-2019-032045
37. Park JYE, Li J, Howren A, Tsao NW, De Vera M. Mobile phone apps targeting medication adherence: quality assessment and content analysis of user reviews. JMIR Mhealth Uhealth. (2019) 7:e11919. doi: 10.2196/11919
38. Mendorf S, Witte OW, Zipprich H, Prell T. Association between non-motor symptoms and non-adherence to medication in Parkinson's disease. Front Neurol. (2020) 11:551696. doi: 10.3389/fneur.2020.551696
39. Gao S, Kaudimba KK, Cai J, Tong Y, Tian Q, Liu P, et al. A mobile phone app-based Tai Chi training in Parkinson's disease: protocol for a randomized controlled study. Front Neurol. (2020) 11:615861. doi: 10.3389/fneur.2020.615861
40. Ben-Joseph A, Marshall CR, Lees AJ, Noyce AJ. Ethnic variation in the manifestation of Parkinson's disease: a narrative review. J Parkinsons Dis. (2020) 10:31–45. doi: 10.3233/JPD-191763
41. Keus SHJ, Nijkrake MJ, Borm GF, Kwakkel G, Roos RAC, Berendse HW, et al. The ParkinsonNet trial: design and baseline characteristics. Mov Disord. (2010) 25:830–7. doi: 10.1002/mds.22815
42. Ypinga JHL, de Vries NM, Boonen LHHM, Koolman X, Munneke M, Zwinderman AH, et al. Effectiveness and costs of specialised physiotherapy given via ParkinsonNet: a retrospective analysis of medical claims data. Lancet Neurol. (2018) 17:153–61. doi: 10.1016/S1474-4422(17)30406-4
43. Bloem BR, Rompen L, Vries NMd, Klink A, Munneke M, Jeurissen P. ParkinsonNet: a low-cost health care innovation with a systems approach from the Netherlands. Health Aff. (2017) 36:1987–96. doi: 10.1377/hlthaff.2017.0832
44. Fabbri M, Caldas AC, Ramos JB, Sanchez-Ferro Á, Antonini A, RuŽička E, et al. Moving towards home-based community-centred integrated care in Parkinson's disease. Parkinsonism Relat Disord. (2020) 78:21–6. doi: 10.1016/j.parkreldis.2020.07.001
45. Lim S-Y, Tan AH, Ahmad-Annuar A, Klein C, Tan LCS, Rosales RL, et al. Parkinson's disease in the Western Pacific Region. Lancet Neurol. (2019) 18:865–79. doi: 10.1016/S1474-4422(19)30195-4
46. Tsiouris KM, Gatsios D, Rigas G, Miljkovic D, Koroušić Seljak B, Bohanec M, et al. PD_Manager: an mHealth platform for Parkinson's disease patient management. Healthc Technol Lett. (2017) 4:102–8. doi: 10.1049/htl.2017.0007
47. Luan X, Tian X, Zhang H, Huang R, Li N, Chen P, et al. Exercise as a prescription for patients with various diseases. J Sport Health Sci. (2019) 8:422–41. doi: 10.1016/j.jshs.2019.04.002
48. Casamassima F, Ferrari A, Milosevic B, Ginis P, Farella E, Rocchi L. A wearable system for gait training in subjects with Parkinson's disease. Sensors. (2014) 14:6229–46. doi: 10.3390/s140406229
49. Ginis P, Nieuwboer A, Dorfman M, Ferrari A, Gazit E, Canning CG, et al. Feasibility and effects of home-based smartphone-delivered automated feedback training for gait in people with Parkinson's disease: a pilot randomized controlled trial. Parkinsonism Relat Disord. (2016) 22:28–34. doi: 10.1016/j.parkreldis.2015.11.004
50. Lopez WOC, Higuera CAE, Fonoff ET, Souza CdO, Albicker U, Martinez JAE. Listenmee and Listenmee smartphone application: synchronizing walking to rhythmic auditory cues to improve gait in Parkinson's disease. Hum Mov Sci. (2014) 37:147–56. doi: 10.1016/j.humov.2014.08.001
51. Rabin E, DiZio P, Lackner JR. Time course of haptic stabilization of posture. Exp Brain Res. (2006) 170:122–6. doi: 10.1007/s00221-006-0348-3
Keywords: smartphone applications, Parkinson's disease, medicine management, rehabilitation, limitations
Citation: Zhang T, Dong L, Jing H and Gao S (2021) Smartphone Applications in the Management of Parkinson's Disease in a Family Setting: An Opinion Article. Front. Neurol. 12:668953. doi: 10.3389/fneur.2021.668953
Received: 17 February 2021; Accepted: 15 April 2021;
Published: 21 May 2021.
Edited by:
Nam-Jong Paik, Seoul National University, South KoreaReviewed by:
Florian Lipsmeier, Roche, SwitzerlandRobert LeMoyne, Northern Arizona University, United States
Gabriella Olmo, Politecnico di Torino, Italy
Jinhong Guo, University of Electronic Science and Technology of China, China
Copyright © 2021 Zhang, Dong, Jing and Gao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Hua Jing, amluZy1odWEmI3gwMDA0MDtjaXRpei5uZXQ=; Song Gao, MTgxMTUxNjAxNCYjeDAwMDQwO3N1cy5lZHUuY24=
†These authors have contributed equally to this work