| Literature DB >> 26976273 |
Hayeon Song1, Kikuko Omori, Jihyun Kim, Kelly E Tenzek, Jennifer Morey Hawkins, Wan-Ying Lin, Yong-Chan Kim, Joo-Young Jung.
Abstract
BACKGROUND: The Internet has increasingly become a popular source of health information by connecting individuals with health content, experts, and support. More and more, individuals turn to social media and Internet sites to share health information and experiences. Although online health information seeking occurs worldwide, limited empirical studies exist examining cross-cultural differences in perceptions about user-generated, experience-based information compared to expertise-based information sources.Entities:
Keywords: consumer behavior; consumer health information; culture; information sharing; medical informatics; social media; trust
Mesh:
Year: 2016 PMID: 26976273 PMCID: PMC4810010 DOI: 10.2196/jmir.4193
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Descriptive statistics of the participants.
| Characteristics | United States | South Korea | Hong Kong | Total | |
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| Male | 168 (56.4) | 69 (39.9) | 245 (74.9) | 482 (60.4) |
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| Female | 130 (43.6) | 104 (60.1) | 82 (24.9) | 316 (39.6) |
| Age (years), mean (SD) | 21.56 (4.66) | 22.05 (2.36) | 20.24 (2.88) | 21.11 (3.63) | |
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| Has Internet access | 294 (98.0) | 176 (100)) | 331 (98.2) | 801 (98.5) |
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| Internet access through smartphone | 177 (58.8) | 176 (99.4) | 321 (95.3) | 674 (82.8) |
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| Daily Internet use, n (%) | 296 (98.7) | 175 (98.9) | 330 (97.9) | 801 (98.4) |
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| Hours using Internet/day, mean (SD) | 4.44 (0.16) | 2.92 (0.31) | 4.38 (0.16) | 4.23 (2.82) |
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| Ever used Internet for health information, n (%) | 270 (90.6) | 167 (93.3) | 261 (80.6) | 698 (87.1) |
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| Frequency of online health information seeking, mean (SD)a | 3.56 (1.11) | 3.69 (1.13) | 3.20 (0.89) | 3.45 (1.06) |
a Frequency of online seeking measured with 7-point scale (1=never, 2=once a year, 3=couple of times a year, 4=once a month, 5=once a week, 6=2-3 times a week, and 7=every day).
Cultural differences of the trust level in each source of online health information.
| Internet sites | Country, mean (SD) | Brown-Forsythea | Planned contrast | ||||||
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| Level 1: US vs KOR/HK | Level 2: KOR vs HK | ||
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| SNS | 2.30 (1.43) | 3.16 (1.18) | 3.79 (1.04) | 101.21 (2, 621) | 001 | 11.36 (467) | .001 | 5.76 (316) | .001 |
| Blog | 2.86 (1.39) | 4.04 (1.04) | 3.90 (1.04) | 74.91 (2, 652) | .001 | 11.21 (452) | .001 | 1.29 (352) | .20 |
| Online support groups | 3.34 (1.49) | 3.34 (1.18) | 5.32 (1.06) | 210.48 (2, 627) | .001 | 9.30 (456) | .001 | 17.78 (323) | .001 |
| Online professional heath sitesb | 5.54 (1.25) | 5.39 (1.10) | 5.61 (1.13) | 1.82 (2, 654) | .16 | .42 (511) | .68 | 1.98 (355) | .05 |
a For 1-way ANOVA test, we used Brown-Forsythe because equal variances could not be assumed. Thus, F value in ANOVA indicates asymptotically F distributed.
b Expertise-based source.
Cultural differences in the frequency of using each source of online health information.
| Source and value labela | United States | Korea | Hong Kong | ||||
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| n (%) | Cumulative % | n (%) | Cumulative % | n (%) | Cumulative % | |
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| 1 | 132 (48.5) | 48.5 | 55 (33.1) | 33.1 | 51 (18.6) | 18.6 |
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| 2 | 64 (23.5) | 72.1 | 53 (31.9) | 65.1 | 59 (21.5) | 40.1 |
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| 3 | 17 (6.3) | 78.3 | 25 (15.1) | 80.1 | 52 (19.0) | 59.1 |
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| 4 | 31 (11.4) | 89.7 | 24 (14.5) | 94.6 | 64 (23.4) | 82.5 |
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| 5 | 19 (7.0) | 96.7 | 9 (5.4) | 100.0 | 33 (12.0) | 94.5 |
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| 6 | 5 (1.8) | 98.5 |
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| 10 (3.6) | 98.2 |
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| 7 | 4 (1.5) | 100.0 |
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| 5 (1.8) | 100.0 |
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| 1 | 92 (17.8) | 17.8 | 9 (2.4) | 2.4 | 38 (2.6) | 2.6 |
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| 2 | 67 (27.5) | 45.4 | 37 (4.8) | 7.2 | 85 (9.2) | 11.7 |
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| 3 | 39 (22.7) | 68.0 | 27 (18.6) | 25.7 | 60 (13.2) | 24.9 |
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| 4 | 45 (19.0) | 87.0 | 40 (39.5) | 65.3 | 64 (48.4) | 73.3 |
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| 5 | 20 (9.7) | 96.7 | 45 (30.5) | 95.8 | 21 (23.8) | 97.1 |
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| 6 | 7 (2.2) | 98.9 | 9 (4.2) | 100.0 | 5 (2.9) | 100.0 |
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| 7 | 2 (1.1) | 100.0 |
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| 1 | 123 (45.7) | 45.7 | 59 (35.3) | 35.3 | 64 (23.5) | 23.5 |
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| 2 | 57 (21.2) | 66.9 | 59 (35.3) | 70.7 | 76 (27.9) | 51.5 |
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| 3 | 30 (11.2) | 78.1 | 21 (12.6) | 83.2 | 46 (16.9) | 68.4 |
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| 4 | 32 (11.9) | 90.0 | 21 (12.6) | 95.8 | 52 (19.1) | 87.5 |
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| 5 | 12 (4.5) | 94.4 | 7 (4.2) | 100.0 | 24 (8.8) | 96.3 |
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| 6 | 12 (4.5) | 98.9 |
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| 6 (2.2) | 98.5 |
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| 7 | 3 (1.1) | 100.0 |
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| 4 (1.5) | 100.0 |
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| 1 | 11 (4.1) | 4.1 | 41 (24.8) | 24.8 | 41 (15.0) | 15.0 |
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| 2 | 17 (6.3) | 10.3 | 45 (27.3) | 52.1 | 66 (24.1) | 39.1 |
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| 3 | 35 (12.9) | 23.2 | 29 (17.6) | 69.7 | 62 (22.6) | 61.7 |
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| 4 | 58 (21.4) | 44.6 | 32 (19.4) | 89.1 | 59 (21.5) | 83.2 |
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| 5 | 53 (19.6) | 64.2 | 15 (9.1) | 98.2 | 33 (12.0) | 95.3 |
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| 6 | 59 (21.8) | 86.0 | 3 (1.8) | 100.0 | 8 (2.9) | 98.2 |
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| 7 | 38 (14.0) | 100.0 |
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| 5 (1.8) | 100.0 |
a For value label: 1=never, 2=rarely, 3=sometimes, 4=moderately, 5= fairly often, 6=often, and 7=always.
b “Professional” indicates professional online health sites, such as WebMD and CDC. This is also an expertise-based source.
Cultural differences in the frequency of using each source of online health information.
| Internet sites | Country, mean (SD) | Brown-Forsythea | Planned contrast | ||||||
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| United States | Korea | Hong Kong |
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| Level 1: US vs KOR/HK | Level 2: KOR vs HK | ||
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| SNS | 2.16 (1.51) | 2.27 (1.21) | 3.07 (1.52) | 32.25 (2, 697) | .001 | 4.51 (529) | .001 | 6.06 (405) | .001 |
| Blog | 2.50 (1.47) | 3.61 (1.37) | 2.85 (1.25) | 34.61 (2, 622) | .001 | 6.67 (515) | .001 | 5.82 (326) | .001 |
| Online support groups | 2.26 (1.54) | 2.15 (1.16) | 2.74 (1.46) | 12.40 (2, 698) | .001 | 1.64 (497) | .10 | 4.70 (409) | .001 |
| Online professional heath sitesb | 4.68 (1.62) | 2.66 (1.37) | 3.08 (1.45) | 122.57 (2, 664) | .001 | 15.02 (508) | .001 | 360.02 (360) | .003 |
a For 1-way ANOVA test, we used Brown-Forsythe because equal variances could not be assumed. Thus, F value in ANOVA indicates asymptotically F distributed.
b Expertise-based source.