| Literature DB >> 36249233 |
Yuan Yuan1,2, Chunhua Tao1, Ping Yu3, Yanwei Wang2, Akio Kitayama2, En Takashi2, Kiyoko Yanagihara2, Jingyan Liang4,5.
Abstract
Aim: The increase in empty-nest elderly individuals with chronic diseases poses a major challenge to the provision of public health services in China. Telenursing can effectively relieve the pressure of public health services to a certain extent. This study aims to explore the telenursing needs of empty-nest elderly individuals with chronic diseases based on the Kano model to provide references for improving the quality of telenursing.Entities:
Keywords: Kano model; chronic diseases; elderly; empty-nest; telenursing
Mesh:
Year: 2022 PMID: 36249233 PMCID: PMC9555810 DOI: 10.3389/fpubh.2022.990295
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1The Kano model.
Kano questionnaire.
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| 1 | Remote education on home safety prevention (fall prevention, fraud prevention, etc.) |
| 2 | Teletraining on care skills (mastering physical and mental care skills to enhance self-care and family and community support) |
| 3 | Remote lectures about disease prevention |
| 4 | Remote screening for diseases (screening for diseases after the relevant indicators are entered into the database) |
| 5 | Distance intervention for disease risk factors |
| 6 | Remote monitoring of vital signs and sleep, etc. |
| 7 | Remote diagnosis of diseases |
| 8 | Remote health counseling |
| 9 | Remote calls for life needs (turning over, patting on the back, etc.) |
| 10 | Remote calls for nursing needs (pressure injury care, etc.) |
| 11 | Remote one-button emergency caller |
| 12 | Remote emergency assistance arrangement (Arranging emergency measures according to the condition and opening “green passages” with the corresponding hospitals) |
| 13 | Remote rehabilitation guidance |
| 14 | Remote return visits and related health education |
| 15 | Regular family visits (physical examination, etc.) |
Kano evaluation table.
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| I like it that way | Q | A | A | A | O |
| It must be that way | R | I | I | I | M |
| I am neutral | R | I | I | I | M |
| I can live with it | R | I | I | I | M |
| I dislike it that way | R | R | R | R | Q |
Distribution of participants' sociodemographic characteristics (N = 348).
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| Female | 196 | 56.32 |
| Male | 152 | 43.68 |
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| 65–74 | 221 | 63.51 |
| 75–84 | 113 | 32.47 |
| 85 and above | 14 | 4.02 |
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| Illiterate or barely literate | 78 | 22.41 |
| Primary school | 97 | 27.87 |
| Junior high school | 92 | 26.44 |
| Senior high school or technical secondary school | 44 | 12.64 |
| Junior college diploma or higher | 37 | 10.63 |
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| Urban residents (Yangzhou) | 87 | 25.00 |
| Urban residents (Nantong) | 88 | 25.29 |
| Rural residents (Yangzhou) | 86 | 24.71 |
| Rural residents (Nantong) | 87 | 25.00 |
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| Living alone | 155 | 44.54 |
| With spouse | 193 | 55.46 |
Figure 2Distribution of participants' chronic disease types.
Evaluation of the attributes of telenursing needs using Kano model.
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| 1 | 8 | 34 | 170 | 122 | 7 | 7 | A | 13.79 | 60.92 | 61.08 | 12.57 |
| 2 | 4 | 33 | 174 | 128 | 6 | 3 | A | 13.22 | 60.63 | 61.06 | 10.91 |
| 3 | 4 | 36 | 170 | 117 | 8 | 13 | A | 15.23 | 60.34 | 63.00 | 12.23 |
| 4 | 11 | 37 | 165 | 126 | 5 | 4 | A | 11.21 | 61.21 | 59.59 | 14.16 |
| 5 | 11 | 36 | 169 | 121 | 6 | 5 | A | 13.79 | 62.07 | 60.83 | 13.95 |
| 6 | 105 | 88 | 73 | 73 | 7 | 2 | M | 4.89 | 76.44 | 47.49 | 56.93 |
| 7 | 6 | 166 | 82 | 81 | 4 | 9 | O | 24.14 | 72.99 | 74.03 | 51.34 |
| 8 | 7 | 193 | 84 | 59 | 4 | 1 | O | 31.32 | 81.61 | 80.76 | 58.31 |
| 9 | 5 | 40 | 120 | 172 | 5 | 6 | I | 14.94 | 47.41 | 47.48 | 13.35 |
| 10 | 5 | 39 | 123 | 170 | 8 | 3 | I | 13.51 | 47.99 | 48.07 | 13.06 |
| 11 | 167 | 48 | 72 | 53 | 5 | 3 | M | 27.30 | 82.47 | 35.29 | 63.24 |
| 12 | 153 | 64 | 63 | 63 | 4 | 1 | M | 25.57 | 80.46 | 37.03 | 63.27 |
| 13 | 6 | 201 | 82 | 48 | 4 | 7 | O | 34.20 | 83.05 | 83.98 | 61.42 |
| 14 | 7 | 194 | 88 | 54 | 3 | 2 | O | 30.46 | 83.05 | 82.22 | 58.60 |
| 15 | 7 | 196 | 88 | 49 | 4 | 4 | O | 31.03 | 83.62 | 83.53 | 59.71 |
Figure 3Attributes on the better-worse plot.
The differences in telenursing demands between Yangzhou and Nantong.
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| 1 | Yangzhou | 3 | 13 | 88 | 59 | 6 | 4 | 1.07 | 0.28 |
| Nantong | 5 | 21 | 82 | 63 | 1 | 3 | |||
| 2 | Yangzhou | 2 | 16 | 84 | 66 | 3 | 2 | 0.60 | 0.55 |
| Nantong | 2 | 17 | 90 | 62 | 3 | 1 | |||
| 3 | Yangzhou | 0 | 18 | 88 | 57 | 4 | 6 | 0.03 | 0.97 |
| Nantong | 4 | 18 | 82 | 60 | 4 | 7 | |||
| 4 | Yangzhou | 4 | 18 | 82 | 63 | 3 | 3 | 0.70 | 0.49 |
| Nantong | 7 | 19 | 83 | 63 | 2 | 1 | |||
| 5 | Yangzhou | 3 | 20 | 86 | 58 | 3 | 3 | 0.12 | 0.91 |
| Nantong | 8 | 16 | 83 | 63 | 3 | 2 | |||
| 6 | Yangzhou | 50 | 49 | 33 | 35 | 4 | 2 | 0.05 | 0.96 |
| Nantong | 55 | 39 | 40 | 38 | 3 | 0 | |||
| 7 | Yangzhou | 1 | 91 | 39 | 37 | 0 | 5 | 1.24 | 0.22 |
| Nantong | 5 | 75 | 43 | 44 | 4 | 4 | |||
| 8 | Yangzhou | 2 | 102 | 43 | 25 | 0 | 1 | 1.12 | 0.26 |
| Nantong | 5 | 91 | 41 | 34 | 4 | 0 | |||
| 9 | Yangzhou | 1 | 19 | 52 | 96 | 1 | 4 | 1.92 | 0.054 |
| Nantong | 4 | 21 | 68 | 76 | 4 | 2 | |||
| 10 | Yangzhou | 2 | 20 | 58 | 87 | 4 | 2 | 0.57 | 0.57 |
| Nantong | 3 | 19 | 65 | 83 | 4 | 1 | |||
| 11 | Yangzhou | 80 | 22 | 45 | 23 | 2 | 1 | 0.36 | 0.72 |
| Nantong | 87 | 26 | 27 | 30 | 3 | 2 | |||
| 12 | Yangzhou | 81 | 30 | 31 | 28 | 2 | 1 | 1.00 | 0.32 |
| Nantong | 72 | 34 | 32 | 35 | 2 | 0 | |||
| 13 | Yangzhou | 1 | 104 | 40 | 22 | 2 | 4 | 0.19 | 0.85 |
| Nantong | 5 | 97 | 42 | 26 | 2 | 3 | |||
| 14 | Yangzhou | 3 | 94 | 45 | 28 | 1 | 2 | 0.71 | 0.48 |
| Nantong | 4 | 100 | 43 | 26 | 2 | 0 | |||
| 15 | Yangzhou | 1 | 96 | 48 | 24 | 2 | 2 | 0.94 | 0.35 |
| Nantong | 6 | 100 | 40 | 25 | 2 | 2 |
The differences in telenursing demands between rural and urban communities.
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| 1 | Rural | 4 | 16 | 81 | 65 | 4 | 3 | 0.85 | 0.40 |
| Urban | 4 | 18 | 89 | 57 | 3 | 4 | |||
| 2 | Rural | 2 | 14 | 81 | 71 | 2 | 3 | 1.74 | 0.08 |
| Urban | 2 | 19 | 93 | 57 | 4 | 0 | |||
| 3 | Rural | 2 | 16 | 83 | 60 | 4 | 8 | 0.92 | 0.36 |
| Urban | 2 | 20 | 87 | 57 | 4 | 5 | |||
| 4 | Rural | 4 | 17 | 83 | 64 | 2 | 3 | 0.74 | 0.46 |
| Urban | 7 | 20 | 82 | 62 | 3 | 1 | |||
| 5 | Rural | 5 | 18 | 83 | 61 | 2 | 4 | 0.34 | 0.74 |
| Urban | 6 | 18 | 86 | 60 | 4 | 1 | |||
| 6 | Rural | 53 | 40 | 35 | 40 | 3 | 2 | 0.54 | 0.59 |
| Urban | 52 | 48 | 38 | 33 | 4 | 0 | |||
| 7 | Rural | 2 | 84 | 39 | 40 | 3 | 5 | 0.22 | 0.82 |
| Urban | 4 | 82 | 43 | 41 | 1 | 4 | |||
| 8 | Rural | 4 | 92 | 44 | 31 | 1 | 1 | 0.58 | 0.56 |
| Urban | 3 | 101 | 40 | 28 | 3 | 0 | |||
| 9 | Rural | 2 | 17 | 66 | 81 | 4 | 3 | 0.02 | 0.98 |
| Urban | 3 | 23 | 54 | 91 | 1 | 3 | |||
| 10 | Rural | 3 | 19 | 64 | 82 | 3 | 2 | 0.58 | 0.56 |
| Urban | 2 | 20 | 59 | 88 | 5 | 1 | |||
| 11 | Rural | 79 | 23 | 39 | 27 | 3 | 2 | 0.98 | 0.33 |
| Urban | 88 | 25 | 33 | 26 | 2 | 1 | |||
| 12 | Rural | 75 | 30 | 34 | 32 | 1 | 1 | 0.33 | 0.74 |
| Urban | 78 | 34 | 29 | 31 | 3 | 0 | |||
| 13 | Rural | 3 | 93 | 46 | 26 | 2 | 3 | 1.28 | 0.20 |
| Urban | 3 | 108 | 36 | 22 | 2 | 4 | |||
| 14 | Rural | 3 | 94 | 45 | 26 | 3 | 2 | 0.78 | 0.44 |
| Urban | 4 | 100 | 43 | 28 | 0 | 0 | |||
| 15 | Rural | 4 | 93 | 45 | 28 | 2 | 1 | 0.78 | 0.44 |
| Urban | 3 | 103 | 43 | 21 | 2 | 3 |