| Literature DB >> 28052842 |
Elizabeth O'Sullivan1, Emily Cutts2, Sushma Kavikondala3, Alejandra Salcedo4, Karan D'Souza5, Martin Hernandez-Torre4, Claire Anderson2, Agnes Tiwari3, Kendall Ho5, Jason Last1.
Abstract
BACKGROUND: Social media is an asset that higher education students can use for an array of purposes. Studies have shown the merits of social media use in educational settings; however, its adoption in health science education has been slow, and the contributing reasons remain unclear.Entities:
Keywords: health education; health surveys; interdisciplinary studies; learning; professionalism; self report; social media; students; surveys and questionnaires; universities
Year: 2017 PMID: 28052842 PMCID: PMC5244031 DOI: 10.2196/mededu.6304
Source DB: PubMed Journal: JMIR Med Educ ISSN: 2369-3762
Demographic characteristics of users and nonusers of social media.
| Demographic characteristics | Users | Nonusers | Total | ||
| Age in years, mean (SD) | n=1351 | n=297 | n=1648 | .003 | |
| n=1342 | n=297 | n=1639 | >.99 | ||
| Male | 444 (81.9) | 98 (18.1) | 542 (33.07) | ||
| Female | 897 (81.84) | 199 (18.16) | 1096 (66.87) | ||
| Nonbinary | 1 (100) | 0 (0) | 1 (<0.1) | ||
| n=1505 | n=296 | n=1801 | .001 | ||
| Fudan University | 55 (78) | 16 (23) | 71 (3.94) | ||
| Tecnologico de Monterrey | 491 (89.9) | 55 (10.1) | 546 (30.31) | ||
| University College Dublin | 336 (82.2) | 73 (17.8) | 409 (22.71) | ||
| University of Birmingham | 58 (78) | 16 (22) | 74 (4.11) | ||
| University of British Columbia | 52 (72) | 20 (28) | 72 (3.99) | ||
| University of Hong Kong | 83 (94) | 5 (6) | 88 (4.88) | ||
| University of Melbourne | 100 (86.9) | 15 (13.1) | 115 (6.38) | ||
| University of Nottingham | 330 (77.5) | 96 (22.5) | 426 (23.65) | ||
Figure 1Factors influencing social media use by health science students.
Health science students’ social media training.
| Social media training | Users | Nonusers | Total | |
| n=1091 | n=229 | n=1320 | ||
| Yes | 393 (36.02) | 69 (30.1) | 462 (35.00) | |
| No | 698 (63.98) | 160 (69.9) | 858 (65.00) | |
| n=762 | n=174 | n=936 | ||
| Yes | 511 (67.1) | 94 (54.0) | 608 (64.9) | |
| No | 251 (32.9) | 82 (46.0) | 328 (35.1) | |
| n=418 | n=75 | n=493 | ||
| It increased confidence | 250 (60.1) | 28 (37) | 278 (56.4) | |
| It didn’t affect confidence | 168 (39.9) | 47 (63) | 215 (43.6) | |
Figure 2Inappropriate sharing of information by users and nonusers on social media.
Frequency of social media use and inappropriate sharing by health science students.
| Information shared on social media | Nonusers | Sometimes | Often | Almost always |
| Patient information | 82 (6) | 29 (8) | 25 (5) | 29 (12) |
| Clinical images | 26 (12) | 44 (12) | 55 (11) | 50 (21) |
| Information about internal working environment | 36 (16) | 53 (15) | 94 (19) | 66 (28) |
| Images from working environment | 34 (15) | 54 (15) | 89 (18) | 78 (33) |
| Personal opinions on patients | 17 (8) | 39 (11) | 42 (9) | 31 (13) |
| Personal opinions on working experiences | 54 (25) | 85 (24) | 154 (32) | 92 (38) |
| Personal opinions on colleagues | 49 (22) | 75 (22) | 129 (26) | 86 (36) |
| Reshared any of the above posted by a fellow student | 18 (8) | 43 (12%) | 55 (12) | 56 (24) |