| Literature DB >> 24565696 |
Katri Hämeen-Anttila1, Hedvig Nordeng, Esa Kokki, Johanna Jyrkkä, Angela Lupattelli, Kirsti Vainio, Hannes Enlund.
Abstract
BACKGROUND: A wide variety of information sources on medicines is available for pregnant women. When using multiple information sources, there is the risk that information will vary or even conflict.Entities:
Keywords: Internet; access to information; information dissemination; information seeking behavior; international; pharmaceutical preparations; pregnancy; questionnaires
Mesh:
Year: 2014 PMID: 24565696 PMCID: PMC3961698 DOI: 10.2196/jmir.2939
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Figure 1Need for information on medicine use including actions and consequences ensuing from conflicting information. Phys: physicians; phar: pharmacists; nurs: nurses or midwives; leaf: patient information leaflets; dic: drug information centers; int: Internet; fam: family or friends.
Univariate and multivariate analysis of factors associated with conflict of information (n=3355).
| Variable | n | Information type, n (%) | Contradictory information | |||||
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| Similar information | Contradictory information | Univariate logistic regression | Multivariate logistic regressiona | |||
|
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|
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| OR (95% CI) |
| OR (95% CI) |
| |
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|
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| .001 |
| .002 | |
|
| Pregnant | 2379 | 1878 (78.9) | 501 (21.1) | 1.00 |
| 1.00 |
|
|
| Mother | 976 | 718 (73.6) | 258 (26.4) | 1.35 (1.13-1.60) |
| 1.32 (1.11-1.58) |
|
|
|
|
|
|
| .08 | — |
| |
|
| ≤24 | 615 | 496 (80.7) | 119 (19.3) | 0.77 (0.62-0.97) |
|
|
|
|
| 25-34 | 2173 | 1659 (76.3) | 514 (23.7) | 1.00 |
|
|
|
|
| ≥35 | 531 | 412 (77.6) | 119 (22.4) | 0.93 (0.74-1.17) |
|
|
|
|
|
|
|
|
| .21 | — |
| |
|
| Primiparous | 1928 | 1507 (78.2) | 421 (21.8) | 1.00 |
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|
|
|
| ≥1 previous children | 1427 | 1089 (76.3) | 338 (23.7) | 1.11 (0.94-1.31) |
|
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|
|
|
|
|
|
| .15 | — |
| |
|
| Married or cohabitant | 3149 | 2445 (77.6) | 704 (22.4) | 1.00 |
|
|
|
|
| Other | 206 | 151 (73.3) | 55 (26.7) | 1.27 (0.92-1.74) |
|
|
|
|
|
|
|
|
| .003 |
| .02 | |
|
| Primary school | 153 | 124 (81.0) | 29 (19.0) | 1.03 (0.66-1.59) |
| 1.02 (0.65-1.62) |
|
|
| High/secondary school | 884 | 720 (81.4) | 164 (18.6) | 1.00 |
| 1.00 |
|
|
| University | 1990 | 1507 (75.7) | 483 (24.3) | 1.41 (1.15-1.72) |
| 1.33 (1.09-1.63) |
|
|
| Other Education | 328 | 245 (74.7) | 83 (25.3) | 1.49 (1.10-2.01) |
| 1.49 (1.09-2.03) |
|
|
|
|
|
|
| <.001 |
| <.001 | |
|
| Western Europe | 1030 | 838 (81.4) | 192 (18.6) | 1.00 |
| 1.00 |
|
|
| Eastern Europe | 919 | 676 (73.6) | 243 (26.4) | 1.57 (1.27-1.95) |
| 1.52 (1.22-1.89) |
|
|
| Northern Europe | 1046 | 817 (78.1) | 229 (21.9) | 1.22 (0.99-1.52) |
| 1.15 (0.92-1.44) |
|
|
| Americas | 274 | 211 (77.0) | 63 (23.0) | 1.30 (0.94-1.80) |
| 1.28 (0.92-1.77) |
|
|
| Australia | 86 | 54 (62.8) | 32 (37.2) | 2.59 (1.63-4.11) |
| 2.28 (1.42-3.67) |
|
|
|
|
|
|
| .63 | — |
| |
|
| 0-2 | 310 | 246 (79.4) | 64 (20.6) | 1.00 |
|
|
|
|
| 3-4 | 1003 | 770 (76.8) | 233 (23.2) | 0.90 (0.67-1.20) |
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|
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| ≥5 | 2028 | 1572 (77.5) | 456 (22.5) | 1.04 (0.87-1.25) |
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|
|
|
|
|
|
| <.001 |
| .002 | |
|
| 0 | 2294 | 1816 (79.2) | 478 (20.8) | 1.00 |
| 1.00 |
|
|
| 1 | 592 | 446 (75.3) | 146 (24.7) | 1.24 (1.01-1.54) |
| 1.20 (0.96-1.49) |
|
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| ≥2 | 469 | 334 (71.2) | 135 (28.8) | 1.54 (1.23-1.92) |
| 1.49 (1.18-1.89) |
|
|
|
|
|
|
| <.001 |
| <.001 | |
|
| 2 sources | 1112 | 915 (82.3) | 197 (17.7) | 1.00 |
| 1.00 |
|
|
| 3 sources | 1071 | 839 (78.3) | 232 (21.7) | 1.28 (1.04-1.59) |
| 1.29 (1.04-1.60) |
|
|
| ≥4 sources | 1172 | 842 (71.8) | 330 (28.2) | 1.82 (1.49-2.22) |
| 1.82 (1.49-2.23) |
|
aAdjusted with the variables shown (n=3305).
Consequences of discrepancies between different information sources by background variables (n=759).
| Variable | n | Consequence,a n (%) | ||||
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| Did not use medication | Became anxious | Sought a new information source | Relied on one source and ignored conflicting one, or did nothing | |
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| |
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| Pregnant | 501 | 240 (47.9) | 118 (23.6) | 135 (26.9) | 161 (32.1) |
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| Mother | 258 | 91 (35.3) | 72 (27.9) | 95 (36.8) | 87 (33.7) |
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| |
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| ≤24 | 119 | 63 (52.9) | 28 (23.5) | 36 (30.3) | 30 (25.2) |
|
| 25-34 | 514 | 217 (42.2) | 132 (25.7) | 163 (31.7) | 173 (33.7) |
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| ≥35 | 119 | 49 (41.2) | 27 (22.7) | 31 (26.0) | 41 (34.5) |
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| |
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| Primiparous | 421 | 185 (43.9) | 105 (24.9) | 129 (30.6) | 135 (32.1) |
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| ≥1 previous children | 338 | 146 (43.2) | 85 (25.1) | 101 (29.9) | 113 (33.4) |
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| |
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| Married or cohabitant | 704 | 308 (43.7) | 170 (24.1) | 215 (30.6) | 232 (32.9) |
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| Other | 55 | 23 (41.8) | 20 (36.4) | 15 (27.3) | 16 (29.1) |
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| |
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| Primary school | 29 | 11 (37.9) | 5 (17.2) | 7 (24.1) | 14 (48.3) |
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| High/secondary school | 164 | 81 (49.4) | 46 (28.0) | 27 (16.5) | 54 (32.9) |
|
| University | 483 | 206 (42.6) | 110 (22.8) | 168 (34.8) | 157 (32.5) |
|
| Other education | 83 | 33 (39.7) | 29 (34.9) | 28 (33.7) | 21 (25.3) |
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| |
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| Western Europe | 192 | 84 (43.7) | 54 (28.1) | 43 (22.4) | 61 (31.8) |
|
| Eastern Europe | 243 | 118 (48.6) | 48 (19.7) | 87 (35.8) | 67 (27.6) |
|
| Northern Europe | 229 | 95 (41.5) | 58 (25.3) | 65 (28.4) | 91 (39.7) |
|
| Americas | 63 | 25 (39.7) | 21 (33.3) | 21 (33.3) | 19 (30.2) |
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| Australia | 32 | 9 (28.1) | 9 (28.1) | 14 (43.7) | 10 (31.2) |
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| |
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| 0-2 | 64 | 23 (35.9) | 11 (17.2) | 20 (31.2) | 19 (29.7) |
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| 3-4 | 233 | 117 (50.2) | 50 (21.4) | 20 (8.6) | 75 (32.2) |
|
| ≥5 | 456 | 189 (41.4) | 128 (28.1) | 137 (30.0) | 153 (33.6) |
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| |
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| 0 | 478 | 228 (47.7) | 114 (23.8) | 122 (25.5) | 147 (30.7) |
|
| 1 | 146 | 64 (43.8) | 36 (24.6) | 56 (38.3) | 44 (30.1) |
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| ≥2 | 135 | 39 (28.9) | 40 (29.6) | 52 (38.5) | 57 (42.2) |
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| |
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| 2 | 197 | 81 (41.1) | 34 (17.2) | 41 (20.8) | 76 (38.6) |
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| 3 | 232 | 106 (45.7) | 43 (18.5) | 55 (23.7) | 84 (36.2) |
|
| ≥4 | 330 | 144 (43.6) | 113 (34.2) | 134 (40.6) | 88 (26.7) |
aRespondents could choose more than 1 answer.