| Literature DB >> 32782027 |
J Hu1, D Z Yuan2, Q Y Zhao2, X F Wang2, X T Zhang2, Q H Jiang2, H R Luo1, J Li1, J H Ran3, J F Li4.
Abstract
BACKGROUND: China has had about 1.2 billion mobile-phone users, and this number continues to grow. However, mobile-health services (mHealth) are currently in the initial stage, and have not yet prevailed in China. Additionally, the prevalence of Parkinson's disease (PD) in China is 1700/100,000 (≥65 years). Indeed, these PD patients would benefit from mHealth to manage their disease. Therefore, we designed a study to determine attitudes toward smartphone applications (apps) for chronic condition self-management, and to discover the practicality of these apps among PD patients in China.Entities:
Keywords: Chronic management; Parkinson’s disease; Smartphone apps; mHealth
Mesh:
Year: 2020 PMID: 32782027 PMCID: PMC7418435 DOI: 10.1186/s12911-020-01187-x
Source DB: PubMed Journal: BMC Med Inform Decis Mak ISSN: 1472-6947 Impact factor: 2.796
Demographic and Parkinson’s disease-related clinical characteristics of surveyed participants
| Variable | No. | % |
|---|---|---|
| Age (years) | ||
| ≤ 60 | 46 | 22.55 |
| 61–70 | 84 | 41.76 |
| ≥ 71 | 74 | 36.27 |
| Gender | ||
| Male | 115 | 56.37 |
| Female | 89 | 43.63 |
| Resident location | ||
| Urban | 172 | 84.31 |
| Rural | 32 | 15.69 |
| Education level | ||
| ≤ 6 | 39 | 19.12 |
| 7–12 | 127 | 62.25 |
| ≥ 13 | 38 | 18.63 |
| Occupation (employment) | ||
| self-employed | 32 | 15.69 |
| Stable work or retirees | 172 | 84.31 |
| Number of anti-PD drug | ||
| ≤ two drugs | 145 | 71.08 |
| ≥ three drugs | 59 | 28.92 |
| PD course | ||
| ≤ 5 | 133 | 65.20 |
| ≥ 6 | 71 | 34.80 |
| MDS-UPDRS (Hoehn & Yahr Grade) | ||
| ≤ 50(I ~ II) | 115 | 56.37 |
| 51–100(III) | 89 | 43.63 |
Fig. 1Methods of obtaining Parkinson’s disease information
Survey results of reaction to the Parkinson disease management apps for related patients
| Survey items | SA + A | N | SDA + DA |
|---|---|---|---|
| I would use it, if it were free. | 136 | 47 | 21 |
| 66.67 | 23.04 | 10.29 | |
| I would try it out, if it were easy to operate. | 169 | 20 | 15 |
| 82.84 | 9.81 | 7.35 | |
| I would use it, if it allowed doctor to make medication change quicker. | 145 | 41 | 18 |
| 71.09 | 20.09 | 8.82 | |
| I would use it, if it protected my privacy. | 139 | 22 | 43 |
| 68.14 | 10.78 | 21.08 | |
| I think it will solve the questions related to Parkinson’s disease. | 124 | 66 | 14 |
| 60.78 | 32.35 | 6.86 | |
| I think it will help remind me to follow doctors’ directions. | 150 | 32 | 22 |
| 73.53 | 15.69 | 10.78 | |
| I think it will reduce the psychological burden of Parkinson’s disease. | 160 | 26 | 23 |
| 75.98 | 12.75 | 11.27 | |
| I think it will reduce the frequency of seeking medical advice and the costs. | 148 | 37 | 19 |
| 72.55 | 18.14 | 9.31 | |
| I believe it well be helpful for me to communicate with doctor. | 151 | 18 | 37 |
| 73.04 | 8.82 | 18.14 | |
| I think it will be useful to manage my Parkinson’s disease. | 141 | 63 | 3 |
| 67.65 | 30.88 | 1.47 |
SA strongly agree, A agree, N neutral, SDA strongly disagree, D disagree, SD standard deviation
Fig. 2Participant interest in content of smartphone apps for PD self-management
Demographic and clinical characteristics of survey patients who would like to use a Parkinson’s disease self-management app, provided it is easy to operate
| Variable | SA + A | N + SD + D | |
|---|---|---|---|
| Age (years) | 67.05 ± 9.24 | 76.14 ± 9.76 | < 0.001 |
| Education level | 10.81 ± 3.23 | 8.83 ± 3.26 | 0.001 |
| Morisky Scale score | 5.91 ± 1.41 | 4.94 ± 1.39 | < 0.001 |
| Gender | 0.517 | ||
| Male/Female | 97/72 | 18/17 | |
| Resident location | 0.795 | ||
| | 143 (84.6%) | 29 (82.9%) | |
| | 26 (15.4%) | 6 (17.1%) | |
| Occupation (employment) | 0.478 | ||
| | 57 (33.7%) | 14 (40.0%) | |
| | 112 (66.3%) | 21 (60.0%) | |
| Number of anti-Parkinson drug | 0.162 | ||
| | 123 (72.8%) | 22 (61.1%) | |
| | 46 (27.2%) | 14 (38.9%) | |
| Whether browsing a web | 0.041 | ||
| | 90 (53.3%) | 12 (34.3%) | |
| | 79 (46.7%) | 23 (65.7%) | |
| Parkinson disease course | < 0.001 | ||
| | 121 (71.6%) | 12 (36.4%) | |
| | 48 (28.4%) | 21 (63.6%) | |
| MDS-UPDRS (H & Y) | 0.013 | ||
| | 87 (51.5%) | 26 (74.3%) | |
| | 82 (48.5%) | 9 (25.7%) |
Correlation analysis between demographic and clinical characteristics of survey patients and APP acceptance
| correlation coefficient | ||
|---|---|---|
| Age | −2.56 | < 0.001 |
| Education level | 0.167 | 0.017 |
| MDS-UPDRS | 0.007 | 0.924 |
| Parkinson disease course | −2.76 | < 0.001 |