| Literature DB >> 35859671 |
Bonnie He1, Stuti M Tanya2, Fiona Costello3, Femida Kherani4,5, Neda Shamie5, Dagny Zhu6.
Abstract
Background: Although social media use among physicians skyrocketed during the COVID-19 pandemic, its role for networking, mentorship, and support among ophthalmologists remains unknown. The objective of this study was to elucidate how ophthalmologists use social media for navigating challenges related to personal and professional development.Entities:
Keywords: mentorship; professional development; social media; women in ophthalmology
Year: 2022 PMID: 35859671 PMCID: PMC9289453 DOI: 10.2147/OPTH.S368674
Source DB: PubMed Journal: Clin Ophthalmol ISSN: 1177-5467
Participant Demographics. Various Demographic Characteristics of Survey Participants (n = 149)
| Characteristics | Survey Participants n (%) |
|---|---|
| Country | |
| Canada | 6 (4.0) |
| USA | 111 (74.5) |
| Other | 32 (21.5) |
| Gender | |
| Men | 48 (32.2) |
| Women | 100 (67.1) |
| Nonbinary | 1 (0.7) |
| Age | |
| Under 25 | 3 (2.0) |
| 25–35 | 84 (56.4) |
| 36–45 | 35 (23.5) |
| 46–55 | 13 (8.7) |
| 56–65 | 12 (8.1) |
| 66+ | 2 (1.3) |
| Ethnicity | |
| White | 78 (52.4) |
| Black/African American | 1 (0.7) |
| American Indian or Alaska Native | 0 (0.0) |
| Asian | 48 (32.2) |
| Non-white Hispanic/Latino | 7 (4.7) |
| Native Hawaiian or Pacific Islander | 0 (0.0) |
| Other | 15 (10.1) |
| Career stage | |
| Resident | 37 (24.8) |
| Fellow | 16 (10.7) |
| 0–5 years in practice | 38 (25.5) |
| 6–10 years in practice | 20 (13.4) |
| 11–20 years in practice | 19 (12.8) |
| 20+ years in practice | 19 (12.8) |
| Type of practice | |
| Academic | 34 (22.8) |
| Private solo | 10 (6.7) |
| Private group | 53 (35.6) |
| Hospital based | 9 (6.0) |
| Large HMO based | 3 (2.0) |
| Not applicable | 35 (23.5) |
| Other | 5 (3.4) |
| Subspecialty | |
| In training | 38 (25.5) |
| Comprehensive | 17 (11.4) |
| Anterior segment, cornea, and refractive | 38 (25.5) |
| Glaucoma | 15 (10.1) |
| Low vision rehabilitation | 1 (0.7) |
| Neuro-ophthalmology | 2 (1.3) |
| Ocular oncology | 0 (0.0) |
| Oculoplastics | 13 (8.7) |
| Pediatric ophthalmology | 6 (4.0) |
| Retina/uveitis | 19 (12.8) |
| Marital status | |
| Married | 103 (69.1) |
| Divorced | 6 (4.0) |
| Never married | 40 (26.9) |
| Widowed | 0 (0.0) |
| Number of children | |
| Zero | 20 (51.0) |
| One | 30 (13.4) |
| Two | 15 (20.1) |
| Three | 7 (10.0) |
| Four | 1 (4.7) |
| Five | 1 (0.7) |
| Professional social media platforms* | |
| 86 (25.2) | |
| 77 (22.6) | |
| 67 (19.6) | |
| 53 (15.5) | |
| YouTube | 32 (9.4) |
| Other | 5 (1.5) |
| None | 21 (6.2) |
| Time spent on social media | |
| Less than 1 hour per week | 6 (4.0) |
| Less than 1 hour per day | 48 (32.2) |
| 1–2 hours daily | 66 (44.3) |
| 3–4 hours daily | 23 (15.4) |
| 4+ hours daily | 6 (4.0) |
Note: *Total exceeds 149 as respondents were directed to select all that apply; data reflects tallied responses.
Figure 1Reasons for social media use among respondents.
Figure 2Challenges experienced and overcome with social media for gender category. Degree of agreement: 1 – strongly disagree, 2 – somewhat disagree, 3 – neither agree nor disagree, 4 – somewhat agree, 5 – strongly agree. (*denotes statistical significance).
Reported Challenges in Professional and Personal Domains and Perceived Utility of Social Media for Overcoming Those Challenges by Gender, Race, Age, and Career Stage. Kruskal–Wallis One-Way Analysis of Variance Was Used to Analyze These Domains
| Gender(p value) | Age(p value) | Career(p value) | |
|---|---|---|---|
| 0.3265 | 0.0110* | 0.1069 | |
| Challenges experienced | 0.9264 | 0.1909 | 0.0465 ( |
| Challenges overcome with social media | 0.1289 | 0.3955 | 0.1789 |
| Challenges experienced | 0.0021* | 0.2419 | 0.5558 |
| Challenges overcome with social media | 0.0028* | 0.9530 | 0.8272 |
| Challenges experienced | 0.1732 | 0.0027* | <0.0001 ( |
| Challenges overcome with social media | 0.7798 | 0.0143* | 0.2424 |
| Challenges experienced | 0.6703 | 0.5720 | 0.0252 ( |
| Challenges overcome with social media | 0.7241 | 0.5207 | 0.0446 (early career vs |
| Challenges experienced | 0.0320* | 0.0459* | 0.1353 |
| Challenges overcome with social media | 0.0005* | 0.1727 | 0.2096 |
| Challenges experienced | 0.0617 | 0.2093 | 0.0428 ( |
| Challenges overcome with social media | <0.0001* | 0.111 | 0.1554 |
| Provided on social media | 0.1130 | 0.0361* | 0.2271 |
| Received on social media | 0.8121 | 0.1380 | 0.7187 |
| Challenges overcome with social media | <0.0301* | 0.4311 | 0.1334 |
Note: *Denotes statistical significance, underlined group denotes the group that were more likely to experience the challenge.
Figure 3Challenges experienced and overcome with social media for age category. Degree of agreement: 1 – strongly disagree, 2 – somewhat disagree, 3 – neither agree nor disagree, 4 – somewhat agree, 5 – strongly agree. (*denotes statistical significance).
Figure 4Challenges experienced and overcome with social media for career stage category. Degree of agreement: 1 – strongly disagree, 2 – somewhat disagree, 3 – neither agree nor disagree, 4 – somewhat agree, 5 – strongly agree. (*denotes statistical significance).