| Literature DB >> 22169526 |
Yoshimitsu Takahashi1, Tomoko Ohura, Tatsuro Ishizaki, Shigeru Okamoto, Kenji Miki, Mariko Naito, Rie Akamatsu, Hiroki Sugimori, Nobuo Yoshiike, Koichi Miyaki, Takuro Shimbo, Takeo Nakayama.
Abstract
BACKGROUND: The Internet is known to be used for health purposes by the general public all over the world. However, little is known about the use of, attitudes toward, and activities regarding eHealth among the Japanese population.Entities:
Mesh:
Year: 2011 PMID: 22169526 PMCID: PMC3278096 DOI: 10.2196/jmir.1796
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Participant characteristics (N = 1200)
| n | % | ||
| 15–19 | 75 | 6 | |
| 20–34 | 285 | 23.8 | |
| 35–49 | 295 | 24.6 | |
| 50–64 | 324 | 27.0 | |
| 65–74 | 169 | 14.1 | |
| 75–79 | 52 | 4 | |
| Mean (SD) | 46.4 (17.4) | ||
| 595 | 49.6 | ||
| 0–2999 | 194 | 16.2 | |
| 3000–5999 | 418 | 34.8 | |
| 6000–9999 | 314 | 26.2 | |
| 10,000– | 112 | 9.3 | |
| Unknown | 162 | 13.5 | |
| 0–12 | 728 | 60.7 | |
| 13–15 | 241 | 20.1 | |
| 16– | 224 | 18.7 | |
| Unknown | 7 | 1 | |
| Excellent/very good | 248 | 20.7 | |
| Good | 350 | 29.2 | |
| Fair | 520 | 43.3 | |
| Poor | 82 | 7 | |
| Urbanb | 690 | 57.5 | |
| Nonurban | 510 | 42.5 | |
| ≥3 | 33 | 3 | |
| 2 | 86 | 7 | |
| 1 | 258 | 21.5 | |
| 0 | 823 | 68.6 | |
a ¥1000 = about US $10.
b Cities with a population of at least 150,000 people.
Prevalence and frequency of Internet use for health purposes (N = 1200)
| Frequency of use, % (n) | ||||||||
| In the past year, about how often did you | Total ever in the past year | More than once per week | About once per week | About once per month | Every 2–3 months | Less than every 2–3 months | ||
| Television | 60.1 (721) | 21.7 (260) | 14.8 (178) | 10.8 (129) | 5 (54) | 8.3 (100) | ||
| Newspapers | 50.3 (604) | 17.3 (207) | 13.3 (159) | 9.1 (109) | 4 (48) | 7 (81) | ||
| Public relations magazines | 40.3 (484) | 1 (17) | 2 (27) | 20.6 (247) | 6 (77) | 9.7 (116) | ||
| Magazines | 34.2 (410) | 3 (38) | 4 (50) | 12.3 (147) | 7 (83) | 8 (92) | ||
| Radio | 19.1 (229) | 5 (56) | 4 (52) | 4 (50) | 2 (26) | 4 (45) | ||
| Direct mail | 16.5 (198) | 1 (15) | 2 (25) | 6 (68) | 4 (45) | 4 (45) | ||
| Web browser via... | ||||||||
| Personal computer | 23.7 (284) | 4 (45) | 4 (47) | 6 (69) | 6 (67) | 5 (56) | ||
| Cell phone | 5 (63) | 1 (14) | 1 (8) | 1 (15) | 1 (8) | 2 (18) | ||
| Email via... | ||||||||
| Personal computer | 5 (61) | 1 (15) | 1 (8) | 1 (15) | 1 (8) | 1 (15) | ||
| Cell phone | 4 (48) | 1 (14) | 0 (6) | 1 (12) | 0 (2) | 1 (14) | ||
| The Internet (Web browser or email) via... | ||||||||
| Personal computer | 23.8 (286) | 4 (48) | 4 (47) | 6 (70) | 5 (65) | 5 (56) | ||
| Cell phone | 6 (77) | 2 (21) | 1 (7) | 2 (19) | 1 (7) | 2 (23) | ||
| The Internet via... | ||||||||
| Personal computer | 7 (79) | 1 (8) | 1 (6) | 2 (18) | 1 (17) | 3 (30) | ||
| Cell phone | 3 (36) | 2 (7) | 0 (2) | 1 (6) | 1 (6) | 1 (15) | ||
| The Internet via... | ||||||||
| Personal computer | 8.6 (103) | 2 (20) | 1 (16) | 2 (20) | 2 (19) | 2 (28) | ||
| Cell phone | 12.3 (148) | 2 (29) | 2 (25) | 3 (34) | 1 (15) | 4 (45) | ||
| The Internet via... | ||||||||
| Personal computer | 4 (52) | 1 (14) | 0 (4) | 1 (8) | 1 (8) | 2 (19) | ||
| Cell phone | 6 (67) | 1 (8) | 1 (10) | 1 (17) | 1 (10) | 2 (22) | ||
Results of logistic regression models for Internet use via personal computer for each health purpose by demographic characteristics (N = 1200)
| For acquiring information | For contacting professionals |
For contacting | For contacting peers | ||
| 286 (23.8%) | 79 (7%) | 103 (8.6%) | 52 (4%) | ||
| 15–19 | 0.5 (0.2–1.0) | 0.2 (0.0–1.3) | 0.6 (0.2–1.7) | 0.3 (0.0–2.5) | |
| 20–34 | Reference | Reference | Reference | Reference | |
| 35–49 | 1.2 (0.8–1.7) | 1.0 (0.6–1.7) | 0.9 (0.5–1.4) | 0.8 (0.4–1.6) | |
| 50–64 | 0.6 (0.4–0.9)b | 0.7 (0.4–1.4) | 0.7 (0.4–1.2) | 0.7 (0.3–1.5) | |
| 65–79 | 0.2 (0.1–0.4)b | 0.4 (0.2–1.1) | 0.3 (0.1–0.8)b | 0.3 (0.1–1.1) | |
| 1.0 (0.8–1.4) | 1.8 (1.1–2.9)b | 1.5 (0.9–2.3) | 1.7 (0.9–3.2) | ||
| 0–2999 | Reference | Reference | Reference | Reference | |
| 3000–5999 | 1.6 (0.9–2.7) | 1.2 (0.5–3.0) | 1.1 (0.5–2.5) | 1.2 (0.4–3.4) | |
| 6000–9999 | 1.7 (1.0–2.9) | 1.6 (0.7–4.0) | 1.5 (0.7–3.3) | 1.2 (0.4–3.6) | |
| 10,000– | 2.5 (1.3–4.8)b | 1.1 (0.4–3.4) | 1.6 (0.7–4.0) | 2.3 (0.7–7.3) | |
| 0–12 | Reference | Reference | Reference | Reference | |
| 13–15 | 1.8 (1.2–2.6)b | 1.9 (1.0–3.3)b | 1.7 (0.9–2.9) | 1.7 (0.8–3.6) | |
| 16– | 4.8 (3.3–6.8)b | 2.6 (1.4–4.7)b | 3.8 (2.3–6.4)b | 2.8 (1.4–5.8)b | |
| 1.4 (0.9–2.1) | 0.6 (0.2–1.4) | 1.1 (0.6–2.0) | 0.7 (0.3–1.8) | ||
| Excellent/very good | Reference | Reference | Reference | Reference | |
| Good | 1.4 (0.9–2.1) | 1.0 (0.5–1.8) | 1.3 (0.8–2.3) | 3.0 (1.2–7.7)b | |
| Fair | 1.1 (0.7–1.6) | 0.9 (0.5–1.6) | 0.7 (0.4–1.2) | 1.9 (0.7–4.9) | |
| Poor | 1.8 (0.9–3.6) | 0.6 (0.2–2.3) | 1.1 (0.4–3.1) | 1.4 (0.3–7.6) | |
a Odds ratio (95% confidence interval).
b Confidence interval does not include 1.0.
c ¥1000 = about US $10.
d Population of at least 150,000 people.
e Hosmer-Lemeshow goodness-of-fit test.
Results of logistic regression models for Internet use via cell phone for each health purpose by demographic characteristics (N = 1200)
| For acquiring information | For contacting professionals |
For contacting | For contacting peers | ||
| 63 (5%) | 36 (3%) | 148 (12.3%) | 67 (6%) | ||
| 15–19 | 0.6 (0.2–1.6) | 0.9 (0.3–3.1) | 0.6 (0.3–1.2) | 0.6 (0.2–1.9) | |
| 20–34 | Reference | Reference | Reference | Reference | |
| 35–49 | 0.5 (0.3–1.0)b | 0.3 (0.1–0.8)b | 0.5 (0.3–0.8)b | 0.6 (0.4–1.2) | |
| 50–64 | 0.2 (0.1–0.4)b | 0.2 (0.1–0.6)b | 0.2 (0.1–0.3)b | 0.2 (0.1–0.5)b | |
| 65–79 | n/ac | n/ac | 0.0 (0.0–0.1)b | 0.0 (0.0–0.3)b | |
| 1.2 (0.7–2.0) | 1.3 (0.6–2.7) | 2.0 (1.4–3.0)b | 2.2 (1.3–3.9)b | ||
| 0–2999 | Reference | Reference | Reference | Reference | |
| 3000–5999 | 1.2 (0.5–3.1) | 0.6 (0.2–1.9) | 0.7 (0.4–1.4) | 1.0 (0.4–2.4) | |
| 6000–9999 | 1.2 (0.4–3.2) | 1.2 (0.4–3.5) | 1.1 (0.6–2.0) | 0.9 (0.4–2.4) | |
| 10,000– | 1.7 (0.6–5.4) | 0.7 (0.2–3.3) | 1.0 (0.5–2.2) | 1.0 (0.3–3.2) | |
| 0–12 | Reference | Reference | Reference | Reference | |
| 13–15 | 1.1 (0.6–2.2) | 1.3 (0.5–3.0) | 1.2 (0.8–2.0) | 1.2 (0.6–2.3) | |
| 16– | 1.4 (0.7–2.8) | 1.3 (0.5–3.1) | 2.0 (1.3–3.2)b | 1.9 (1.0–3.6) | |
| 1.9 (1.0–3.8) | 0.9 (0.3–2.7) | 0.8 (0.4–1.5) | 0.5 (0.2–1.4) | ||
| Excellent/very good | Reference | Reference | Reference | Reference | |
| Good | 1.0 (0.5–2.1) | 2.2 (0.8–6.0) | 1.9 (1.2–3.2)b | 3.8 (1.7–8.7)b | |
| Fair | 0.9 (0.4–1.8) | 1.5 (0.5–4.2) | 1.3 (0.8–2.2) | 2.0 (0.8–4.6) | |
| Poor | 3.3 (1.1–9.6) | 2.5 (0.5–13.5) | 1.8 (0.7–4.5) | 1.6 (0.3–8.2) | |
a Odds ratio (95% confidence interval).
b Confidence interval does not include 1.0.
c Not applicable.
d ¥1000 = about US $10.
e Population of at least 150,000 people.
f Hosmer-Lemeshow goodness-of-fit test.
Perceived effects of Internet use on health care understanding and decisions among Internet users
| n | Agree or strongly agree | |
| Improved my understanding of symptoms, conditions, or treatments in which I was interested | 210 | 143 (68.1%) |
| Affected the way I eat or exercise | 197 | 134 (68.0%) |
| Led me to seek care from different doctors or health providers than I otherwise would have | 190 | 41 (22%) |
| Improved my ability to manage my health care needs without visiting a doctor or other health care provider | 188 | 43 (23%) |
Perceived effects of Internet use on feelings of confidence and anxiety among Internet users
| Feeling after obtaining information on... | n | Feeling confident | No effect | Feeling anxious |
| Diseases you have | 158 | 98 (62%) | 52 (33%) | 8 (5%) |
| Diseases you want to prevent | 125 | 77 (62%) | 46 (37%) | 2 (2%) |
| Treatment of diseases | 167 | 108 (64.7%) | 53 (32%) | 6 (4%) |
| On doctors and health care facilities | 99 | 93 (63%) | 50 (34%) | 4 (3%) |
| On peers | 147 | 61 (62%) | 34 (34%) | 4 (4%) |
| On a healthy lifestyle, fitness, or nutrition | 129 | 82 (64%) | 45 (35%) | 2 (2%) |
Perceived effects of Internet use on health-related activities (number of times visited or telephoned a physician or other health provider) among Internet users
| Number of times... | n | Increased | No effect | Decreased |
| Visited a physician or other health provider | 234 | 15 (6%) | 208 (88.9%) | 11 (5%) |
| Telephoned a physician or other health provider | 232 | 1 (0%) | 216 (93.1%) | 15 (7%) |
Perceived effects of Internet use on health-related activities (experiences of telling health professionals about health-related information from the Internet) among Internet users
| n | Have done | Tried, but never done | Never tried | |
| Have told health professionals about health-related information from the Internet | 236 | 39 (17%) | 12 (5%) | 185 (78.4%) |