| Literature DB >> 34225687 |
Sungwon Yoon1,2, Sharon Wee1, Vivian S Y Lee1, Jing Lin1, Julian Thumboo3,4,5.
Abstract
BACKGROUND: Although existing studies have described patterns of social media use in healthcare, most are focused on health professionals in one discipline. Population health requires a multi-disciplinary approach to ensure diversity and to include diverse stakeholders. To date, what is known about using social media in population health is focused on its potential as a communication tool. This study aims to investigate patterns of use and perceived value of social media usage among stakeholders in population health practice, policy, or research.Entities:
Keywords: Cross-sectional survey; Healthcare professionals; Population health; Social care professionals; Social media
Mesh:
Year: 2021 PMID: 34225687 PMCID: PMC8256205 DOI: 10.1186/s12889-021-11370-y
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics of respondents
| Overall (%) | ||
|---|---|---|
| below 40 | 150 | (48.70) |
| 40 and above | 158 | (51.30) |
| Male | 69 | (22.40) |
| Female | 239 | (77.60) |
| Healthcare professionals and social care professionals | 137 | (44.48) |
| Others (program managers, researchers, administrators) | 169 | (54.87) |
| Yes | 301 | (97.73) |
| No | 7 | (2.27) |
| Yes | 69 | (22.40) |
| No | 239 | (77.60) |
| Yes | 238 | (77.27) |
| No | 70 | (22.73) |
| Not at all/A little | 69 | (22.40) |
| Moderately good | 125 | (40.58) |
| Good | 98 | (31.82) |
| Very good | 16 | (5.19) |
Fig. 1Frequency of social media use by type of social media platform
Perceptions of social media use for population health
| n | (%)a | |
|---|---|---|
| Promotion of health behaviors | 187 | (60.71) |
| Community engagement | 147 | (47.73) |
| Preventive care (e.g. diabetes screening, immunization) | 125 | (40.58) |
| Chronic disease management | 119 | (38.64) |
| Care coordination | 78 | (25.32) |
| Mental health | 55 | (17.86) |
| Social support | 54 | (17.53) |
| Health-social interface | 56 | (18.18) |
| Population health policy | 34 | (11.04) |
| Intermediate to long term care | 22 | (7.14) |
| Palliative/End-of-life care | 18 | (5.84) |
| Research | 10 | (3.25) |
| Acute disease management | 9 | (2.92) |
| Post-acute care recovery | 8 | (2.60) |
| 12 and below | 46 | (14.94) |
| 13–19 | 160 | (51.95) |
| 20–29 | 256 | (83.12) |
| 30–39 | 284 | (92.21) |
| 40–49 | 276 | (89.61) |
| 50–59 | 210 | (68.18) |
| 60–69 | 117 | (37.99) |
| 70 and above | 56 | (18.18) |
| Caregivers | 269 | (87.34) |
| Healthcare professionals in the community | 259 | (84.09) |
| Patients | 238 | (77.27) |
| Healthcare professionals in acute hospitals | 170 | (55.19) |
| Social care professionals in acute hospitals | 161 | (52.27) |
| Social media sites/apps | 237 | (76.95) |
| Face-to-face group sessions | 225 | (73.05) |
| Websites | 165 | (53.57) |
| Text messages | 102 | (33.12) |
| Telephone calls | 84 | (27.27) |
| Time investment by health care professionals | 173 | (56.17) |
| Patient adoption | 163 | (52.92) |
| Infrastructure development of technological approaches | 158 | (51.30) |
| Providing supervision and follow-up | 151 | (49.03) |
| Adoption by health care professionals | 140 | (45.45) |
| Cost investment | 133 | (43.18) |
aTotal number does not add up to 308 because multiple selections were allowed
Association between participant characteristics and target population health areas
| Promotion of healthy behaviors | Community Engagement | Preventive Care | |||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | [95% CI] | OR | [95% CI] | OR | [95% CI] | ||||
| below 40 | |||||||||
| 40 and above | 0.34 | [0.19–0.60] | < 0.001 | 1.24 | [0.78–1.95] | 0.36 | 0.51 | [0.32–0.82] | < 0.05 |
| Male | |||||||||
| Female | 0.85 | [0.48–1.51] | 0.58 | 0.81 | [0.46–1.40] | 0.45 | 1.81 | [1.01–3.24] | < 0.05 |
| Health and social care professionals | |||||||||
| Others (program managers, researchers, administrators) | 1.15 | [0.72–1.84] | 0.57 | 1.74 | [1.10–2.76] | < 0.05 | 0.61 | [0.38–0.97] | < 0.05 |