| Literature DB >> 30578175 |
Francesc X Marin-Gomez1,2,3,4, Francesc Garcia Cuyas4,5, Ramon Reig-Bolano4,6, Jacobo Mendioroz2,3, Pere Roura-Poch2, Margalida Pico-Nicolau2,7, Josep Vidal-Alaball2,3.
Abstract
BACKGROUND: Several studies have been conducted to analyze the role social networks play in communication between patients and health professionals. However, there is a shortage of studies in relation to communication among primary health professionals, in a professional context, using the various mobile phone apps available.Entities:
Keywords: attitude; cell phone use; mHealth; primary health care; smartphone; social networking; telemedicine
Year: 2018 PMID: 30578175 PMCID: PMC6320407 DOI: 10.2196/11147
Source DB: PubMed Journal: JMIR Mhealth Uhealth ISSN: 2291-5222 Impact factor: 4.773
Figure 1Flow of participants through the study. EHR: electronic health record.
Figure 2Percentage of respondents using the various apps for personal and professional use.
Demographic data according to the use of social networking site apps.
| Characteristics | Total (N=483) | Users (n=362) | Nonusers (n=121) | Crude odds ratio (95% CI) | ||
| >50 | 161 | 110 (68.3) | 51 (31.7) | 1 | ||
| 41-50 | 158 | 120 (75.9) | 38 (24.1) | 1.46 (0.9-2.4) | .13 | |
| 31-40 | 120 | 95 (79.2) | 25 (20.8) | 1.76 (1-3.1) | .04 | |
| 20-30 | 44 | 37 (84.1) | 7 (15.9) | 2.45 (1-5.9) | .04 | |
| Median (SD) | 44 (10.4) | 48 (10.1) | .005b | |||
| Male | 90 | 64 (71.1) | 26 (28.9) | 1 | ||
| Female | 393 | 298 (75.8) | 95 (24.2) | 1.3 (0.8-2.1) | .35 | |
| Nurse | 211 | 159 (75.4) | 52 (24.6) | 1 | ||
| Physician | 215 | 162 (75.3) | 53 (24.7) | 1 (0.6-1.6) | .99 | |
| Midwife | 31 | 24 (77.4) | 7 (22.6) | 1.1 (0.5-2.8) | .80 | |
| Social worker | 21 | 14 (66.7) | 7 (33.3) | 0.5 (0.8-3) | .44 | |
| Dentist | 5 | 3 (60) | 2 (40) | 0.7 (0.3-1.7) | .38 | |
| Clinical | 406 | 301 (74.1) | 105 (25.9) | 1 | ||
| Clinical and academic | 77 | 61 (79.2) | 16 (20.8) | 1.3 (0.7-2.4) | .34 | |
| <1 | 190 | 126 (66.3) | 64 (33.7) | 1 | ||
| 1-3 | 175 | 136 (77.7) | 39 (22.3) | 1.8 (1.1-2.8) | .01 | |
| >3 | 118 | 100 (84.7) | 18 (15.3) | 2.8 (1.6-5) | .001 | |
| >35 | 46 | 29 (63) | 17 (37) | 1 | ||
| 26-35 | 103 | 72 (69.9) | 31 (30.1) | 1.4 (0.7-2.8) | .40 | |
| 16-25 | 159 | 119 (74.8) | 40 (25.2) | 1.7 (0.9-3.5) | .11 | |
| ≤15 years | 175 | 142 (81.1) | 33 (18.9) | 2.5 (1.2-5.1) | .01 | |
| Median (SD) | N/Ac | 18 (10.6) | 22 (11.3) | N/A | .002b | |
aPearson correlation coefficient (age and work experience) =.9; P<.001.
bP value for the linear trend test (analysis of variance).
cN/A: not applicable.
Multivariate analysis of factors associated with work-related use of social networking site apps by primary care professionals.
| Associated factors | Adjusted odds ratio (95% CI) | ||
| >35 | 1 | N/Aa | |
| 16-35 | 1.54 (0.79-2.99) | .19 | |
| ≤15 | 2.11 (1.02-4.36) | .04 | |
| <3 | 1 | N/A | |
| ≥3 | 1.90 (1.07-3.38) | .02 | |
aN/A: not applicable.
Assessment of the usefulness of social networking sites in the 8 domains analyzed (n=362).
| Domains | Rating, n (%) | |||
| Not useful | Of little use | Useful | Very useful | |
| Problem solving | 18 (5.0) | 68 (18.8) | 202 (55.8) | 74 (20.4) |
| Knowledge about profession | 25 (6.9) | 76 (21.0) | 206 (56.9) | 55 (15.2) |
| Speed and clinical safety | 23 (6.4) | 85 (23.5) | 190 (52.5) | 64 (17.7) |
| Patient care | 25 (6.9) | 85 (23.5) | 199 (55.0) | 53 (14.6) |
| Clinical decisions | 20 (5.5) | 91 (25.1) | 203 (56.1) | 48 (13.3) |
| Clinical skills | 33 (9.1) | 97 (26.8) | 185 (51.1) | 47 (13.0) |
| Creativity and innovation | 30 (8.3) | 112 (30.9) | 171 (47.2) | 49 (13.5) |
| Critical thinking | 36 (9.9) | 116 (32.0) | 170 (47.0) | 40 (11.0) |
Assessment of the impact of 4 apps compared according to the 8 domains analyzed.
| Main uses of the apps | WhatsApp (n=219) | Facebook (n=22) | Twitter (n=20) | Instagram (n=8) | |
| Problem solving | 177 (80.8)a | 19 (97.6) | 15 (75.0) | 6 (75.0) | |
| Knowledge about profession | 167 (76.3)b | 21 (95.5)a | 17 (85.0)c | 8 (100) | |
| Speed and clinical safety | 164 (74.9)c | 21 (95.5)d | 19 (95.0)a | 6 (75.0) | |
| Patient care | 155 (70.8) | 19 (86.4) | 18 (90.0)e | 6 (75.0) | |
| Clinical decisions | 166 (75.8)f | 21 (95.5)g | 17 (85.0) | 8 (100) | |
| Clinical skills | 146 (66.7) | 20 (90.9)d | 17 (85.0) | 8 (100) | |
| Creativity and innovation | 147 (67.1)c | 20 (90.9)h | 18 (90.0)g | 6 (75.0) | |
| Critical thinking | 140 (63.9)i | 21 (95.5)j | 17 (85.0) | 6 (75.0) | |
| Communication with other professionals | 213 (97.3)j | 21 (95.5) | 18 (90.0) | 8 (100) | |
| Pharmacological or clinical consultations | 124 (56.6) | 14 (63.6) | 16 (80.0)k | 6 (75.0) | |
| Professional development | 72 (32.9) | 9 (40.9) | 11 (55.0)l | 4 (50.0) | |
| Health promotion | 60 (27.4) | 13 (59.1)j | 14 (70.0)j | 2 (25.0) | |
| Communication with patients | 50 (22.8) | 5 (22.7) | 3 (15.0) | 1 (12.5) | |
| Social networks | 50 (22.8) | 13 (59.1)j | 12 (47.5)j | 4 (50.0) | |
| Work or research opportunities | 44 (20.1)i | 7 (31.8) | 5 (25.0) | 3 (37.5) | |
| Other | 9 (4.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | |
aP=.01.
bP=.03.
cP=.02.
dP=.04.
eP=.006.
fP=.003.
gP=.007.
hP=.001.
iP=.002.
jP=.005.
kP<.001.
lP=.009.
Reasons given by the professionals (n=362) for using social networking site apps.
| Reasons for using the appsa | n (%) | 95% CI | |
| Communication with other professionals | 338 (93.4) | 90.8-95.9 | |
| Pharmacological or clinical consultations | 204 (56.4) | 51.2-61.5 | |
| Professional development | 106 (29.3) | 24.6-34.0 | |
| Health promotion | 86 (23.8) | 19.4-28.2 | |
| Communication with patients | 72 (19.9) | 15.8-24.0 | |
| Social networks | 71 (19.6) | 15.5-23.7 | |
| Work or research opportunities | 57 (15.7) | 12.0-19.5 | |
| 19 (5.2) | 2.9-7.6 | ||
| Sending images or clinical photos | 8 (2.2) | 0.7-3.7 | |
| Clinical information record | 5 (1.4) | 0.2-2.6 | |
| Assistance support tools | 3 (0.8) | 0-1.8 | |
| Professional email | 3 (0.8) | 0-1.8 | |
aRespondents could choose more than 1 reason.