| Literature DB >> 35300033 |
Andy S Huang1, Ali Adel Ne'ma Abdullah2, Kelsey Chen3, Dagny Zhu4.
Abstract
Purpose: Social media has become a popular source of health information for patients. This study aimed to characterize the top-performing ophthalmologic posts on a large social media platform to better understand the spread of ophthalmic information via social media. Materials andEntities:
Keywords: Instagram; content; education; engagement; engagement level ratio; hashtag; ophthalmologist; ophthalmology; optometrist; patient; social media
Year: 2022 PMID: 35300033 PMCID: PMC8921826 DOI: 10.2147/OPTH.S353417
Source DB: PubMed Journal: Clin Ophthalmol ISSN: 1177-5467
List of Hashtag Terms Queried
| Hashtag Terms Queried | Total Posts |
|---|---|
| #Ophthalmology | 1,078,100 |
| #Glaucoma | 697,000 |
| #Blepharoplasty | 674,400 |
| #LASIK | 5,57,900 |
| #Ophthalmologist | 442,600 |
| #EyeSurgery | 367,100 |
| #Cataract | 303,200 |
| #CataractSurgery | 180,500 |
| #LASIKSurgery | 177,800 |
| #Myopia | 169,800 |
| #DryEyes | 146,600 |
| #DryEye | 112,800 |
| #Oculoplastics | 97,000 |
| #LaserEyeSurgery | 95,000 |
| #Ptosis | 71,900 |
| #MacularDegeneration | 69,300 |
| #StrabismusSurgery | 69,000 |
| #Strabismus | 64,600 |
| #Conjunctivitis | 56,800 |
| #EyeDisease | 50,300 |
| #DiabeticRetinopathy | 39,700 |
| #Pterygium | 33,200 |
| #DryEyeSyndrome | 28,200 |
| #PterygiumSurgery | 23,300 |
| #RetinalDetachment | 22,526 |
| #CornealTransplant | 21,500 |
| #Vitrectomy | 16,900 |
| #CornealUlcer | 15,500 |
| #CornealAbrasion | 15,000 |
| #Chalazion | 11,000 |
| #GlaucomaSurgery | 7000 |
| #RetinaSurgery | 7000 |
| #Keratitis | 4800 |
| #ARMD | 3000 |
| #PRKSurgery | 3000 |
| #Trabeculoplasty | 1500 |
| #OrbitalCellulitis | 300 |
Notes: Total posts captured is listed for each keyword. Hashtags are based on AAO’s IRIS registry and general laymen’s terms to broadly identify ophthalmic content.
Abbreviations: AAO, American Academy of Ophthalmology; IRIS, Intelligent Research in Sight.
Figure 1Methodology diagram for extraction of posts.
Figure 2Breakdown of authors of ophthalmology-related content.
Figure 3Engagement level ratio of author, post format, and content.
Odds Ratio Analysis of Factors in Ophthalmic Instagram Posts
| Factors of Ophthalmic IG Posts | OR for 80th Percentile | Lower 95% CI | Upper 95% CI | |
|---|---|---|---|---|
| Trainee | 3.172*** | 1.444 | 6.97 | |
| Patient | 2.104*** | 1.516 | 2.921 | |
| Optometrist | 0.926 | 0.627 | 1.366 | |
| Ophthalmologist | 0.737 | 0.529 | 1.028 | |
| Non-board Certified | 0.637 | 0.375 | 1.081 | |
| Board Certified | 0.483** | 0.262 | 0.9 | |
| Organization | 0.428** | 0.24 | 0.765 | |
| Photo | 3.157*** | 1.807 | 5.516 | |
| Graphics | 0.651 | 0.352 | 1.204 | |
| Video | 0.442* | 0.224 | 0.872 | |
| Personal Experience | 3.335*** | 2.408 | 4.621 | |
| Self-Promotion | 1.077 | 0.632 | 1.835 | |
| Educational | 0.359*** | 0.259 | 0.498 | |
| White Coat | 3.259** | 1.456 | 7.294 | |
| Selfie | 2.815*** | 2.021 | 3.202 | |
| Optometrist in content | 2.452* | 1.213 | 4.958 | |
| Scrubs | 2.281* | 1.036 | 5.021 | |
| Ophthalmologist in content | 1.238 | 0.801 | 1.913 | |
| Slit Lamp | 0.538* | 0.311 | 0.932 | |
| Fundus | 0.281* | 0.086 | 0.918 | |
| Short | 1.551** | 1.124 | 2.141 | |
| Medium | 1.066 | 0.765 | 1.485 | |
| Long | 0.700* | 0.492 | 0.995 |
Notes: Odds Ratio Analysis to measure the association between various factors of ophthalmic Instagram posts and the outcome of the post being in the ≥ 80th percentile (or top 200 posts for ELR). For example, the odds of being in the top 20% of all ophthalmic Instagram within our analysis are 3.17 times higher in posts with white coats than posts that did not include white coats; (p < 0.01). Note: *p < 0.05; **p < 0.01; ***p<0.001.
Abbreviations: IG, Instagram; OR, Odds ratio; CI, Confidence interval.