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モバイル健康管理サービスの評価に関する研究

丁, 一

http://hdl.handle.net/2324/1959136

出版情報:九州大学, 2018, 博士(芸術工学), 課程博士 バージョン:

権利関係:

(2)

A Study on Evaluating Mobile Self-care Management Service

2018 8

(3)

Doctoral Dissertation

A Study on Evaluating

Mobile Self-care Management Service

August 2018

Doctoral Program in Department of Design Strategy Graduate School of Design

Kyushu University

DING YI

(4)

1.1 ···2

1.2 ···4

1.3 ···5

1.4 ···7

1.5 ···8

2 ···9

2.1 ···9

2.2 ···9

3 ···11

3.1 ···11

3.2 ···12

4 ···13

5 ···13

6 ···14

6.1 ···14

6.2 ···14

···15

···16

1 ···19

1 ···20

1.1 ···20

1.2 ···20

2 ···20

2.1 2000 ···20

2.2 2010 ···21

2.3 ···27

(5)

···34

2 ···38

1 ···39

1.1 ···39

1.2 ···39

2 ···41

2.1 ···41

2.2 ···41

3 1 ···44

3.1 ···44

3.2 ···44

3.3 ···45

4 2 ···45

4.1 ···46

4.2 ···47

4.3 ···47

4.4 ···48

4 . 5 · · · ·4 9 5 3 ···50

5.1 ···50

5.2 ···52

5.3 ···54

5.4 ···55

6 ···56

6 . 1 · · · ·5 6 6 . 2 · · · ·5 7 6.3 ···58

7 ···59

(6)

1.2 ···62

1.3 ···62

2 ···62

2.1 ···62

2.2 ···65

2.3 ···68

2.4 ···70

3 ···72

3.1 ···72

3 . 2 · · · ·7 2 4 ···80

5 ···81

···83

4 ···84

1 ···85

2 ···85

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3.2 ···88

4 ···89

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5 ···95

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···98

5 ···99

(7)

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3 ···102

3.1 ···102

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4 ···106

4.1 ···106

4.2 ···110

5 ···113

5.1 ···113

5.2 ···117

6 ···120

6.1 ···120

6.2 ···120

6.3 ···120

7 ···121

6 ···122

1 · · · ·1 2 3 2 ···124

2.1 ···124

2.2 ···125

3 ···126

3.1 ···126

3.2 ···127

4 ···129

4.1 ···129

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(8)

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(24)

Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS One, 11(5), e0156164.

Asimakopoulos, S., Asimakopoulos, G., & Spillers, F. (2017). Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. In Informatics (Vol. 4, No. 1, p. 5). Multidisciplinary Digital Publishing Institute.

Gouveia, R., Karapanos, E., & Hassenzahl, M. (2015). How do we engage with activity trackers?: a longitudinal study of Habito. In Proceedings of the 2015 ACM

International Joint Conference on Pervasive and Ubiquitous Computing (pp.

1305-1316). ACM.

International Organization for Standardization (ISO, 9241-210, 2010). Ergonomics of human-system interaction - Part 210: Human-centered design for interactive systems.

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.

Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4).

Lazar, A., Koehler, C., Tanenbaum, J., & Nguyen, D. H. (2015). Why we use and abandon smart devices. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 635-646). ACM.

Ledger, D., & McCaffrey, D. (2014). Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Endeavour Partners, 200(93), 1.

Nurkka, P. (2016). Customization in long-term use: the case of the sports watch. In Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia (pp. 5-10). ACM.

(25)

adoption challenges of wearable activity trackers. IConference 2015 Proceedings.

Tencent ISUX (2015). 2015

, , (2003).

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Personal tracking as lived informatics

Krebs, P., & Duncan, D. T. (2015)

Health app use among US mobile phone owners: a national survey Shih, P. C., Han, K.,

Poole, E. S., Rosson, M. B., &

Carroll, J. M. (2015)

Use and adoption challenges of wearable activity trackers

20-24

Gouveia, R., Karapanos, E., &

Hassenzahl, M.

(2015)

How do we engage with activity trackers?

Lazar, A., Koehler, C., Tanenbaum, J.,

& Nguyen, D. H.

(2015)

Why we use and abandon smart devices

18-59

Karapanos, E.

(2015)

Sustaining user engagement with behavior-change tools

Gowin, M., Cheney, M., Gwin, S., &

Franklin Wann, T.

(2015)

Health and fitness app use in college students: a qualitative study

18-30 Karapanos, E.,

Gouveia, R., Hassenzahl, M., &

Forlizzi, J. (2016)

Wellbeing in the making: peoples’

experiences with wearable activity trackers Anderson, K.,

Burford, O., &

Emmerton, L. (2016)

Mobile health apps to facilitate self-care: a qualitative study of user experiences Asimakopoulos, S.,

Asimakopoulos, G.,

& Spillers, F. (2017)

Motivation and user engagement in fitness tracking:

Heuristics for mobile healthcare wearables

Krebs Duncan 2015

Krebs Duncan

(31)

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Akter, S., D'Ambra, J., & Ray, P.K. (2010). Service quality of mHealth platforms: development and validation of a hierarchical model using PLS.

Electronic Markets, 20, 209-227.

Alonso-Rasgado MT., Thompson G., Dannemark OJ. (2004). State of the Art in Service Design and Modeling. VIVACE Public, 11-14.

Anderson, K., Burford, O., & Emmerton, L. (2016). Mobile health apps to facilitate self-care: a qualitative study of user experiences. PLoS One, 11(5), e0156164.

Asimakopoulos, S., Asimakopoulos, G., & Spillers, F. (2017). Motivation and user engagement in fitness tracking: Heuristics for mobile healthcare wearables. In Informatics (Vol. 4, No. 1, p. 5). Multidisciplinary Digital Publishing Institute.

Boudreaux, E. D., Waring, M. E., Hayes, R. B., Sadasivam, R. S., Mullen, S., &

Pagoto, S. (2014). Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations. Translational behavioral medicine, 4(4), 363-371.

Fotheringham, M. J., Owies, D., Leslie, E., & Owen, N. (2000). Interactive health communication in preventive medicine: Internet-based strategies in teaching and research. American journal of preventive medicine, 19(2), 113-120.

Glanz, K., Rimer, B. K., Lewis, F. M. (2006). (Health Behavior and Health Education: Theory, Research, and Practice). (

, , , , .). ( ). (Original work published

(43)

Gouveia, R., Karapanos, E., & Hassenzahl, M. (2015). How do we engage with activity trackers?: a longitudinal study of Habito. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1305-1316). ACM.

Gowin, M., Cheney, M., Gwin, S., & Franklin Wann, T. (2015). Health and fitness app use in college students: a qualitative study. American Journal of Health Education, 46(4), 223-230.

International Organisation for Standardisation (ISO, 9004-2, 1991), Quality Management and Quality SysteMH Element - Part 2 Guidelines for services.

Karapanos, E. (2015). Sustaining user engagement with behavior-change tools. Interactions, 22(4), 48-52.

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.

Krebs, P., & Duncan, D. T. (2015). Health app use among US mobile phone owners: a national survey. JMIR mHealth and uHealth, 3(4).

Laxminarayan, S., & Istepanian, R. S. (2000). UNWIRED E-MED: the next generation of wireless and internet telemedicine systeMH. IEEE Transactions on Information Technology in Biomedicine, 4(3).

Lazar, A., Koehler, C., Tanenbaum, J., & Nguyen, D. H. (2015). Why we use

and abandon smart devices. In Proceedings of the 2015 ACM

International Joint Conference on Pervasive and Ubiquitous Computing

(pp. 635-646). ACM.

(44)

human behavior change offers the secret to long-term engagement.

Endeavour Partners, 200(93), 1.

Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. C. (2014). Personal tracking as lived informatics. In Proceedings of the 32nd annual ACM conference on Human factors in computing systeMH (pp. 1163-1172).

ACM.

Shih, P. C., Han, K., Poole, E. S., Rosson, M. B., & Carroll, J. M. (2015). Use and adoption challenges of wearable activity trackers. IConference 2015 Proceedings.

Stoyanov, S. R., Hides, L., Kavanagh, D. J., Zelenko, O., Tjondronegoro, D.,

& Mani, M. (2015). Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth, 3(1).

Suzuki, T., & Doi, M. (2001). LifeMinder: an evidence-based wearable healthcare assistant. In CHI'01 Extended Abstracts on Human Factors in Computing SysteMH (127-128). ACM.

Tencent ISUX (2015). 2015

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05 36.3

06 26.2

07 27.3

08 41.9

09 4.9

10 2.6

11 1.0

12 11.0

13 0.7

14 7.0

15 11.7

16 17.3

17 50.9

18 46.7

19 23.5

20 25.1

21 5.5

22 3.9

23 35.7

24 29.0

25 6.5

26 55.6

27 69.2

28 19.4

29 45.6

30 48.5

31 15.5

32 55.5

33 56.5

34 16.4

35 39.0

36 51.4

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22

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22

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17 24

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24 N=18

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7 25

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16 23

17 24

18 21

24 2

SN01

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SN10 11 12 13 SN14 16

SN14 07

38 25

(76)

25

SN 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38

2.3

22 25

(77)

22 25

40

SN 26

26

SN 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

(78)

26 40

2.4

26 27

SD

40

19

(79)

27

1 2 3 4

○︎

No.

01 1 2 3 4

02 1 2 3 4

03 1 2 3 4

04 1 2 3 4

05 1 2 3 4

06 1 2 3 4

07 1 2 3 4

08 1 2 3 4

09 1 2 3 4

10 1 2 3 4

11 1 2 3 4

12 1 2 3 4

13 1 2 3 4

14 1 2 3 4

15 1 2 3 4

16 1 2 3 4

17 1 2 3 4

18 1 2 3 4

19 1 2 3 4

20 1 2 3 4

21 1 2 3 4

22 1 2 3 4

23 1 2 3 4

24 1 2 3 4

25 1 2 3 4

26 1 2 3 4

27 1 2 3 4

28 1 2 3 4

29 1 2 3 4

30 1 2 3 4

31 1 2 3 4

32 1 2 3 4

33 1 2 3 4

34 1 2 3 4

35 1 2 3 4

36 1 2 3 4

37 1 2 3 4

38 1 2 3 4

39 1 2 3 4

40 1 2 3 4

(80)

3

3.1 1)

18 30

83 115

55 143 53 145 28

MH MH

24 198

83 115 55 143 53 145

2)

27 2016 8

9

198 4 Item01-40

40 4

IBM SPSS

3.2

198

(81)

1

r = .24~.63, p < .01

27 27

t

t(106 = 2.89~10.49, p

< .005 40

Kaiser-Meyer-Olkin .80

Bartlett p < .001

29 15 14

20 33 2

4

(82)

29

1 2 3 4 5 6 7 8 9

30 .848 .416 .349 .294 .133 .055 .228 .232 .103

28 .770 .418 .389 .325 .066 .169 .411 .283 .166

32 .709 .424 .429 .422 .192 .112 .196 .216 .122

29 .661 .448 .212 .187 .229 .084 .065 .164 .218

27 .642 .478 .231 .199 .032 .132 .244 .296 .280

31 .625 .202 .265 .496 .213 .062 .224 .081 .095

07 .418 .684 .361 .181 .100 .235 .240 .261 .186

08 .287 .650 .328 .119 .213 .209 .124 .334 .267

11 .400 .594 .417 .245 .168 .372 .143 .398 .311

10 .339 .572 .374 .240 .133 .129 .374 .091 .070

19 .416 .544 .390 .261 .156 .197 .339 .090 .107

09 .380 .524 .198 .231 .016 .127 .214 .192 .148

18 .367 .515 .302 .133 .028 .129 .187 .178 .107

05 .298 .446 .370 .354 .434 .064 .031 .108 -.024

06 .112 .408 -.052 -.052 .022 .058 .138 .109 .167

37 .231 .251 .776 .251 .179 .223 .261 .132 .047

39 .208 .280 .717 .234 .203 .281 .222 .130 .214

38 .397 .324 .674 .205 -.033 .240 .205 .177 .141

20 .386 .438 .552 .333 .122 .334 .421 .168 .142

40 .342 .331 .547 .304 .222 .188 .132 .152 .178

34 .343 .168 .256 .844 .140 .084 .107 .155 .048

35 .286 .220 .277 .820 .195 .122 .144 .078 .085

36 .335 .063 .317 .598 .153 .104 .352 .176 .058

33 .487 .326 .339 .491 .143 .032 .019 .137 .043

03 .137 .061 .135 .212 .732 .163 .315 .176 -.015

04 .125 .118 .171 .119 .696 .118 .147 .146 .080

01 .226 .231 .165 .203 .648 .123 .189 .241 .000

02 .012 .066 .178 .137 .533 .384 .148 .108 -.127

13 .072 .251 .270 .083 .153 .935 .248 .217 .251

12 .125 .218 .307 .128 .196 .839 .215 .159 .308

23 .241 .299 .208 .125 .181 .165 .615 .284 .188

22 .302 .383 .278 .110 .170 .167 .605 .239 .138

21 .101 .303 .201 .133 .357 .149 .472 .085 .191

14 .153 .132 .268 .164 .130 .419 .454 .039 .273

15 .238 .132 .275 .198 .133 .313 .419 .088 .252

26 .314 .374 .258 .126 .178 .181 .136 .831 .170

25 .179 .220 .180 .183 .251 .214 .281 .757 .183

24 .241 .168 .136 .246 .197 .129 .412 .449 .068

17 .243 .243 .227 .140 -.020 .258 .220 .162 .925

16 .238 .318 .225 .086 .048 .375 .340 .264 .775

:

: Kaiser

36

9 53 30

(83)

30

% % % %

1 8.03 22.31 22.31 2.46 6.83 6.83 5.29

2 2.67 7.43 29.74 6.48 17.99 24.82 5.38

3 2.51 6.96 36.70 2.07 5.76 30.57 4.05

4 2.07 5.75 42.45 1.73 4.82 35.39 2.90

5 1.80 5.01 47.46 1.68 4.66 40.05 3.18

6 1.55 4.31 51.77 1.30 3.62 43.66 2.72

7 1.53 4.24 56.01 1.15 3.19 46.86 3.12

8 1.48 4.12 60.13 1.11 3.07 49.93 3.04

9 1.27 3.52 63.64 1.08 3.00 52.92 2.57

Kaiser

31

(84)

31

1 2 3 4 5 6 7 8 9 30 0.8660.4450.3230.1480.2630.0330.2570.1860.125 28 0.7710.4610.380.0960.2920.1550.330.320.189 32 0.7010.4180.3670.1920.3870.0960.2350.2480.16 29 0.6490.4250.1770.1980.1570.080.1590.2430.218 27 0.6330.5170.2360.0490.1720.1250.3140.1890.285 31 0.6140.2260.2310.2330.4670.0290.1120.1740.114 07 0.4110.6840.3130.0950.1520.2160.270.3160.201 08 0.2840.6450.3040.1950.1040.2190.3220.2510.272 110.380.6220.4060.170.2150.3820.4130.1640.309 10 0.3710.5760.1710.050.2080.1140.2060.1050.169 19 0.340.5640.3290.1340.2290.10.1290.4270.093 09 0.3590.5520.280.0450.1050.140.1960.1420.131 18 0.4110.5480.3550.1660.2320.1840.1120.3630.141 05 0.2870.4450.3530.4290.3510.0610.0990.1170.001 06 0.1070.392-0.0690.001-0.0680.0590.1130.2680.162 37 0.2190.2670.8490.1960.2350.2040.1630.2170.056 39 0.20.280.6750.210.2030.2550.1750.20.248 38 0.3890.3470.668-0.0120.170.2150.1980.1420.171 40 0.3220.3270.5220.2140.270.1650.1590.1870.175 03 0.1440.0870.1420.760.2240.1510.2110.2360 04 0.1280.1240.1840.6810.1220.120.1690.1930.066 01 0.2240.2290.1420.6520.1920.1270.2490.2350.011 02 0.010.0710.160.5460.1310.3880.1120.133-0.115 35 0.2650.2540.2540.2140.8570.1030.0970.0840.095 34 0.3190.1860.2210.1590.8170.0610.1660.0660.088 36 0.330.1110.2940.2010.5880.0720.2220.1540.098 12 0.1180.2310.2820.2070.1120.8870.20.1730.301 13 0.0630.2790.2490.1720.0660.8840.2510.160.247 25 0.180.2320.1770.2570.1740.230.7970.2620.207 26 0.3060.3740.2550.1680.1040.1920.7790.2080.183 24 0.2480.2250.1370.240.2190.1140.4880.2190.094 22 0.3270.330.2450.1480.0850.1750.2950.8630.164 21 0.1090.2570.180.350.1260.1470.1260.6360.192 23 0.2620.3150.230.2120.1130.1490.3280.5260.207 17 0.240.2660.21-0.0220.1270.2310.20.1780.994 16 0.2380.3540.2350.0540.090.3660.2950.2790.735

(85)

32

32

F1 F2 F3 F4 F5 F6 F7 F8

F2 .537

F3 .396 .431

F4 .166 .198 .233

F5 .377 .241 .332 .295

F6 .101 .280 .301 .208 .090

F7 .322 .354 .251 .214 .152 .272

F8 .293 .369 .258 .270 .128 .185 .265

F9 .227 .303 .188 -.004 .086 .283 .260 .208

9

198 2

198 1

33 3 1

2

3

36

3 9

(86)

33

1 2 3

.804 .129 .091

.684 -.149 .151

.646 .364 .190

.534 .356 .113

.245 .784 -.111

-.082 .714 .364

.059 -.030 .887

.368 .173 .532

.312 .351 .443

Kaiser a.4

α

.71 .87

α

.90 ( 34)

34 α

α 0.85 0.8 0.77 0.75 0.78 0.87 0.71 0.71 0.84 0.9

2

4 4 Spirit-Skin

198

M = 2.76, SD = .38

35

35 N=198

.

2.88 2.64 2.85 2.73 2.99 3.13 2.28 2.60 3.04 2.84 3.09 2.54

2 3

9 198

3

(87)

2 1

3 2

3.13

3.04

2.99

2.88 2.85

2.73

2.64

2.60

2.28

(88)

4

2

36 9 3

2

36

9

3

36 9

3

3

MH

3 3

9 MH

36

MH MH

9

(89)

3

MH

MH

MH

5

36

9

3

MH

(90)

36

36

(91)

2014 .

. Retrieved July 31

,

2017, from

http://www.MHlw.go.jp/houdou/2007/03/dl/h0327-3b.pdf

(92)

4

(93)

4 1

1 2 MH

2

1 MH 2 MH

3

MH

MH

MH MH

3 3.1

3 3

9

36 37

(94)

37

3 MH

9

9

36 MH

37 9 36

(95)

SN 38 38 MH

38

SN 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36

MH

9 36

(96)

3.2

MH

MH

MH

MH

SWOT Advantaged area Disadvantaged area

Competing area New area 4

4

(97)

4

MH MH

4 4.1

1

(98)

9

39 MH

1 5.2

MH

(99)

2

18 30 MH

7 MH

40

40 MH

39 40 KJ

3 39 40

(100)

37

KJ

SN 41 41

9

23

41

SN 01 02 03 04 05 06 07 08

09 ( )

10 11 12 13 14 15 16 17 18 19 20 21 22 23

9 MH

MH

(101)

9 23

9 MH

MH

9 23

9 23

4.2

MH

MH

MH

MH

SWOT Advantaged area

Disadvantaged area Competing area New

area 4 5

(102)

5

(103)

MH MH

5

2 MH

MH

MH 3 4

MH

6

MH

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