| Literature DB >> 22549016 |
Tom H Van de Belt1, Sivera A A Berben, Melvin Samsom, Lucien J L P G Engelen, Lisette Schoonhoven.
Abstract
BACKGROUND: Patients increasingly use social media to communicate. Their stories could support quality improvements in participatory health care and could support patient-centered care. Active use of social media by health care institutions could also speed up communication and information provision to patients and their families, thus increasing quality even more. Hospitals seem to be becoming aware of the benefits social media could offer. Data from the United States show that hospitals increasingly use social media, but it is unknown whether and how Western European hospitals use social media.Entities:
Mesh:
Year: 2012 PMID: 22549016 PMCID: PMC3799605 DOI: 10.2196/jmir.1992
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Search protocol for data collection.
| Step | Protocol |
| 1 | Select hospital from list. |
| 2 | Visit official website and add contact information to table. Find using standard search tool (ie, Google). |
| 3 | Record number of beds (total). Include hospitals with >200 beds. |
| 4 | If included, proceed to next steps. |
| 5 | Add general information. |
| 6 | Look for different types of social media on hospital’s website and add to table. |
| 7 | Use search option on hospital’s website and search the terms |
| 8 | Visit Twitter.com, Youtube.com, Facebook.com, and LinkedIn.com and search on hospital’s official name. Add all new social media to the table. |
| 9 | Use specific search queries in Google, eg, the hospital’s name AND |
| 10 | Add other relevant information for all types of social media, eg, number of friends and followers, date of registration. |
Hospitals included in the analysis and their general details.
| Countrya | Number of hospitals | Number of beds, | ||
| Total | General hospitals | University hospitals | ||
| NL | 88 | 80 | 8 | 549 (278) |
| BE | 91 | 79 | 12 | 450 (261) |
| LU | 6 | 5 | 1 | 363 (139) |
| DE | 347 | 314 | 33 | 533 (445) |
| AT | 25 | 19 | 6 | 775 (587) |
| CH | 41 | 39 | 2 | 389 (232) |
| UK | 175 | 123 | 52 | 624 (282) |
| IR | 28 | 21 | 7 | 392 (192) |
| NO | 17 | 11 | 6 | 480 (238) |
| SE | 22 | 17 | 5 | 698 (511) |
| FI | 9 | 7 | 2 | 697 (544) |
| DK | 24 | 17 | 7 | 551 (286) |
| Total | 873 | 732 | 141 | 544 (376) |
a NL = the Netherlands, BE = Belgium, LU = Luxembourg, DE = Germany, AT = Austria, CH = Switzerland, UK = United Kingdom, IR = Ireland, NO = Norway, SE = Sweden, FI = Finland, DK = Denmark.
Social media usage (T1–T3)a in 12 Western European countries (YouTube and Twitter).
| Countryb | YouTube, n (%) |
| Twitter, n (%) |
| ||||||
| T1 | T2 | T3 | T1 vs T2 | T1 vs | T1 | T2 | T3 | T1 vs T2 | T1 vs | |
| NL (n = 88) | 9 (10%) | 23 (26%) | 33 (38%) | <.001 | <.001 | 4 (5%) | 27 (31%) | 49 (56%) | <.001 | <.001 |
| BE (n = 91) | 1 (1%) | 4 (4%) | 5 (5%) | .04 | .14 | 0 | 2 (2%) | 6 (7%) | .009 | .03 |
| LU (n = 6) | 0.0 | 1 (17%) | 1 (17%) | .37 | 1 | 0 | 0 | 0 | NDe | ND |
| DE (n = 347) | 3 (1%) | 20 (6%) | 52 (15%) | <.001 | <.000 | 2 (1%) | 9 (3%) | 23 (7%) | <.001 | <.001 |
| AT (n = 25) | 0 | 3 (12%) | 3 (12%) | .05 | .25 | 0 | 0 | 0 | ND | ND |
| CH (n = 41) | 0 | 2 (5%) | 5 (12% | .02 | .06 | 0 | 1 (2%) | 1 (2%) | .37 | 1 |
| UK (n = 175) | 6 (3%) | 37 (21%) | 62 (35%) | <.001 | <.001 | 4 (2%) | 42 (24%) | 68 (39%) | <.001 | <.001 |
| IR (n = 28) | 0 | 0 | 0 | ND | ND | 0 | 0 | 1 (4%) | .37 | 1 |
| NO (n = 17) | 0.0 | 2 (12%) | 3 (18%) | .1 | 1 | 0 | 2 (12%) | 8 (47%) | .002 | .008 |
| SE (n = 22) | 0 | 5 (23%) | 5 (23%) | .007 | 1 | 0 | 2 (9%) | 2 (9%) | .14 | .5 |
| FI (n = 9) | 0 | 0 | 0 | ND | ND | 0 | 0 | 0 | ND | ND |
| DK (n = 24) | 0.0 | 2 (8%) | 3 (13%) | .1 | .25 | 0 | 0 | 0 | ND | ND |
| All (n = 873) | 19 (2%) | 99 (11%) | 172 (19.7%) | <.001 | <.001 | 10 (1%) | 85 (10%) | 158 (18.1%) | <.001 | <.001 |
a T1 = April to August 2009, T2 = August to December 2010, T3 = April to July 2011.
b NL = the Netherlands, BE = Belgium, LU = Luxembourg, DE = Germany, AT = Austria, CH = Switzerland, UK = United Kingdom, IR = Ireland, NO = Norway, SE = Sweden, FI = Finland, DK = Denmark.
c Cochran Q test (df = 2).
d McNemar test (df = 2).
e No data.
Social media usage (T1–T3)a in 12 Western European countries (Facebook, blogs, and LinkedIn).
| Countryb | Facebook, n (%) |
| Blog, n (%) |
| LinkedIn, n (%) |
| |||||||
| T1 | T2 | T3 | T2 vs T3c | T1 | T2 | T3 | T1 vs T2 | T1 vs | T1 | T2 | T3 | T2 vs | |
| NL (n = 88) | NDe | 0 | 13 (15%) | <.001 | 2 (2%) | 5 (6%) | 4 (5%) | .1 | .5 | ND | 48 (55%) | 71 (81%) | <.001 |
| BE (n = 91) | ND | 20 (22%) | 62 (68%) | <.001 | 2 (2%) | 2 (2%) | 2 (2%) | 1 | 1 | ND | 20 (22%) | 41 (45%) | <.001 |
| LU (n = 6) | ND | 0 | 3 (50%) | .25 | 0 | 0 | 0 | ND | ND | ND | 0 | 2 (33%) | .5 |
| DE (n = 347) | ND | 26 (8%) | 232 (66.9%) | <.001 | 0 | 0 | 1 (1%) | .37 | 1 | ND | 6 (2%) | 10 (3%) | .22 |
| AT (n = 25) | ND | 1 (4%) | 21 (84%) | <.001 | 0 | 0 | 0 | ND | ND | ND | 1 (4%) | 3 (12%) | .5 |
| CH (n = 41) | ND | 4 (10%) | 15 (37%) | .001 | 0 | 0 | 0 | ND | ND | ND | 5 (12%) | 9 (22%) | .13 |
| UK (n = 175) | ND | 31 (18%) | 163 (93.1%) | <.001 | 0 | 10 (6%) | 12 (7%) | <.001 | <.001 | ND | 71 (41%) | 97 (55%) | <.001 |
| IR (n = 28) | ND | 0 | 23 (82%) | <.001 | 0 | 0 | 0 | ND | ND | ND | 0 | 3 (11%) | .25 |
| NO (n = 17) | ND | 2 (12%) | 15 (88%) | <.001 | 0 | 0 | 1 (6%) | .37 | 1 | ND | 8 (47%) | 13 (76%) | .06 |
| SE (n = 22) | ND | 0 | 10 (45%) | <.001 | 3 (14%) | 3 (14%) | 2 (9%) | .37 | 1 | ND | 15 (68%) | 17 (77%) | .5 |
| FI (n = 9) | ND | 0.0 | 7 (78%) | .02 | 0 | 0 | 0 | ND | ND | ND | 0 | 1 (11%) | 1 |
| DK (n = 24) | ND | 1 (4%) | 21 (88%) | <.001 | 0 | 0 | 1 (4%) | .37 | 1 | ND | 5 (21%) | 11 (46%) | .03 |
| All (n = 873) | ND | 85 (10%) | 585 (67.0%) | <.001 | 7 (1%) | 20 (2%) | 23 (3%) | <.001 | <.001 | ND | 179 (20.5%) | 278 (31.8%) | <.001 |
a T1 = April to August 2009, T2 = August to December 2010, T3 = April to July 2011.
b NL = the Netherlands, BE = Belgium, LU = Luxembourg, DE = Germany, AT = Austria, CH = Switzerland, UK = United Kingdom, IR = Ireland, NO = Norway, SE = Sweden, FI = Finland, DK = Denmark.
c McNemar test (df = 2).
d Cochran Q test (df = 2).
e No data.
YouTube videos, views, and Twitter followers at T2 and T3a.
| Countryb | YouTube videos per |
| YouTube views per account, |
| Twitter followers per account, |
| |||
| T2 | T3 | T2 vs T3d | T2 | T3 | T2 vs T3d | T2 | T3 | T2 vs T3d | |
| NL (n = 88) | 5 (2–20) | 9 (5–26) | .03 | 839 (221–1721) | 4828 (976–12022) | <.001 | 119 (48–235) | 336 (150–748) | <.001 |
| BE (n = 91) | 3 (2–3) | 7 (3–9) | .18 | 241 (145–241) | 6648 (3332–13241) | .04 | 175 | 127 (41–232) | NDe |
| LU (n = 6) | 5 (a) | 4 (a) | ND | 141 | 244 | ND | 0 | 0 | ND |
| DE (n = 347) | 2 (2–17) | 6 (3–19) | 01 | 1809 (737–27,823) | 1920 (382–11366) | .001 | 51 (27–76) | 90 (30–309) | .18 |
| AT (n = 25) | 20 (10–22) | 32 (18–58) | .11 | 10,930 (5465–12,755) | 26,251 (19,855–29,692) | .18 | 0 | 0 | ND |
| CH (n = 41) | 2 (2–3) | 6 (3–16) | 1 | 3 (a) | 3717 (2003–3853) | ND | 19 | 63 | ND |
| UK (n = 175) | 5 (2–8) | 7 (4–16) | .004 | 256 (137–1436) | 2372 (880–7313) | <.0001 | 311 (135–625) | 464 (145–1019) | <.001 |
| IR (n = 28) | 0 | 0 | ND | 0 | 0 | ND | 0 | 44 (a) | ND |
| NO (n = 17) | 7 (5–8) | 4 (3–8) | .32 | 2962 (2700–3223) | 5250 (5200–7082) | .18 | 57 (30–83) | 200 (65–370) | .18 |
| SE (n = 22) | 13 (7–16) | 12 (4–12) | .13 | 560 (458–7199) | 3146 (1892–12029) | .35 | 84 (75–92) | 142 (116–169) | .18 |
| FI (n = 9) | 0 | 0 | ND | 0 | 0 | ND | 0 | 0 | ND |
| DK (n = 24) | 1 (1–2) | 3 (3–3) | ND | 101 (51–152) | 120.0 (71–168) | ND | 0 | 0 | ND |
| All (n = 873) | 4 (2–13) | 7 (3–16) | <.001 | 575 (190–2444) | 3074 (724–10110) | <.001 | 204 74–579) | 271 (85–724) | <.001 |
a T1 = April to August 2009, T3 = April to July 2011.
b NL = the Netherlands, BE = Belgium, LU = Luxembourg, DE = Germany, AT = Austria, CH = Switzerland, UK = United Kingdom, IR = Ireland, NO = Norway, SE = Sweden, FI = Finland, DK = Denmark.
c Interquartile range.
d Wilcoxon signed rank test.
e No data.
Figure 1Percentage of Facebook company profiles (FB COM), group pages (FB GROUP), and links (Link) to a Facebook account on hospital websites at T3 (April to July 2011). NL = the Netherlands, BE = Belgium, LU = Luxembourg, DE = Germany, AT = Austria, CH = Switzerland, UK = United Kingdom, IR = Ireland, NO = Norway, SE = Sweden, FI = Finland, DK = Denmark.