Quality, Reliability, and Readability of Online Information on Idiopathic Intracranial Hypertension.

BACKGROUND: To evaluate the quality & reliability, technical quality, and readability of patient-targeted online information on idiopathic intracranial hypertension. METHODS: In this cross-sectional study, we searched Google and Bing search engines for the terms "idiopathic intracranial hypertension" and "pseudotumor cerebri." We evaluated the first 50 search outcomes for each search term. Peer-reviewed articles, targeted advertisements, book chapters, videos, personal blogs, websites intended for healthcare professionals, and non-English websites were excluded. Websites were classified as institutional or private. Two independent reviewers assessed each website for 1) quality and reliability using DISCERN, Health on the Net Code of Conduct (HONcode), and JAMA criteria and 2) technical quality based on 11 criteria. Readability was evaluated using 6 measures (Flesch-Kincaid Reading Ease score and grade level, Gunning Fog, Simple Measure of Gobbledygook (Smog) index, Coleman-Liau index, and automated readability index). RESULTS: Sixty-three websites (37 institutional) were included. The mean scores for the DISCERN, HONcode, and JAMA criteria were 3.6 ± 1 (1-4.8; 1: worse, 5: best), 10.3 ± 2.8 (2-16; 0: worse, 16: best), and 2 ± 1.3 (0-4; 0: worse, 4: best), respectively. The mean technical quality score was 0.8 ± 0.1 (0.5-1). The mean Flesch-Kincaid grade level score was 8.9 ± 1.8 (3.3-13.3). For Flesch-Kincaid grade level, 47 (74.6%) websites scored a grade level of 10 or less. For Gunning Fog Score, 35 websites (55.6%) scored from 7.3 to 10.8. For the Smog Index, 46 (73%) websites scored 5.7-8. The mean Coleman Liau Index was 16 ± 2.1 (9.6-22.2). For the automated readability index, 30 (50.7%) websites scored less than the eighth grade. No statistically significant difference was present between institutional and private websites except for JAMA, which scored higher in private websites (2.4 vs 1.7, P = 0.03). CONCLUSIONS: Our findings suggest that online information on idiopathic intracranial hypertension/pseudotumor cerebri for patients generally demonstrates moderate to good quality and reliability. Although most websites maintain credible technical quality, the readability exceeds recommended levels for the average American reader. This may impede understanding, emphasizing the need for future improvements.

Topical insulin in neurotrophic keratopathy after diabetic vitrectomy.

To assess the efficacy and safety of topical insulin (TI) for treating neurotrophic keratopathy (NK) within one-month post-diabetic vitrectomy (DV) compared to conventional non-invasive measures, we conducted this retrospective case-control study including all eyes that developed acute NK (stages 2 and 3) following DV between October 2020 and June 2023. The control group included NK cases managed with preservative-free lubricant eye drops and prophylactic topical antibiotics. In contrast, the study group included NK cases treated with TI [1 unit per drop] four times daily, in addition to the previously mentioned treatment. The primary outcome measure was time to epithelial healing. Secondary outcome measures included any adverse effect of TI or the need for amniotic membrane transplantation (AMT). During the study period, 19 patients with a mean age of 49.3 ± 8.6 years received TI versus 18 controls with a mean age of 52.5 ± 10.7 years. Corneal epithelial healing was significantly faster in the TI-treated group compared to controls, with a mean difference of 12.16 days (95% CI 6.1-18.3, P = 0.001). Survival analysis indicated that the insulin-treated group had 0% and 20% of NK stages 2 and 3, respectively, that failed to achieve corneal epithelial healing, compared to 20% and 66.7% for the control group (P < 0.001). In the control group, two eyes required AMT due to progressive thinning. Additionally, three patients in the control group, progressing to stage 3 NK, were switched to TI, achieving healing after a mean of 14 days. No adverse effects were reported in the TI-treated group. Our study suggests that TI can effectively and safely promote the healing of NK after DV.

Debulking corneal biopsy with tectonic amniotic membrane transplantation in refractory clinically presumed fungal keratitis.

The treatment of fungal keratitis (FK) is challenging due to the subacute indolent course, and initial misdiagnosis. In this retrospective case series, we highlight both the diagnostic and therapeutic roles of corneal biopsy together with amniotic membrane transplantation (AMT) in patients with refractory clinically presumed FK. Debulking biopsy and tectonic AMT were performed during the initial presentation. Biopsy specimens were sent for KOH smears and cultures. After KOH smears confirmed the presence of fungal elements, topical voriconazole 1% was prescribed for the first 72 h then tailored according to the clinical response and the culture results. The outcome measures were complete resolution of infection and restoration of corneal integrity. Cases associated with culture proven bacterial keratitis were excluded. Twelve cases were included in the study. KOH smears confirmed the presence of fungal growth in all specimens. Cultures grew Aspergillus in 6/12 cases, sensitive to voriconazole (5/6) and amphotericin (3/6); Fusarium (4/12), sensitive to both voriconazole and amphotericin; and no growth in 2/12 cases. Amphotericin 0.15% eye drops were added to the 7 cases with proven sensitivity and to the remaining 2 culture negative cases. Gradual resolution of infection was seen in all cases after 35.6 ± 7.8 days. In FK, a debulking biopsy simultaneously with AMT help decrease the microbial load, suppress the inflammatory process, support the corneal integrity, confirm the presence of fungal pathogen.

Risk of abducens nerve palsy following COVID-19 vaccination.

PURPOSE: To investigate the prevalence and risk of new-onset abducens nerve palsy and acute-onset diplopia following mRNA COVID-19 vaccination. METHODS: In this retrospective, population-based study, patient data from the COVID-19 Research Network of TriNetX was searched via the TriNetX Analytics platform for patients who received specific vaccinations based on Common Procedural Technology codes. We recorded instances of newly diagnosed abducens nerve palsy and diplopia within 21 days following each vaccination event. RESULTS: Of the 3,545,224 patients (mean age at vaccination, 46.2 ± 21.3 years) who received the mRNA COVID-19 vaccine, 12 (<0.0001%) patients had a new diagnosis of abducens nerve palsy and 453 (0.013%) had acute-onset diplopia within 21 days of first dose of COVID-19 vaccination. After propensity score matching, the relative risk for new abducens nerve palsy diagnosis after the first dose of COVID-19 vaccination was not significantly different from that after influenza (RR, 0.77), Tdap (RR, 1.0), or the second dose of the COVID-19 vaccinations (RR, 1.00). Furthermore, there was a lower risk of abducens nerve palsy diagnosis after the first dose of the COVID-19 vaccination compared with the risk after COVID-19 infection (RR, 0.15). CONCLUSIONS: The risk of a new abducens nerve palsy diagnosis following the first dose of the COVID-19 vaccine is lower than the risk associated with COVID-19 infection itself. There is no evidence to suggest a causal relationship between COVID-19 vaccination and the development of abducens nerve palsy.

Using Large Language Models to Generate Educational Materials on Childhood Glaucoma.

PURPOSE: To evaluate the quality, readability, and accuracy of large language model (LLM)-generated patient education materials (PEMs) on childhood glaucoma, and their ability to improve existing the readability of online information. DESIGN: Cross-sectional comparative study. METHODS: We evaluated responses of ChatGPT-3.5, ChatGPT-4, and Bard to 3 separate prompts requesting that they write PEMs on "childhood glaucoma." Prompt A required PEMs be "easily understandable by the average American." Prompt B required that PEMs be written "at a 6th-grade level using Simple Measure of Gobbledygook (SMOG) readability formula." We then compared responses' quality (DISCERN questionnaire, Patient Education Materials Assessment Tool [PEMAT]), readability (SMOG, Flesch-Kincaid Grade Level [FKGL]), and accuracy (Likert Misinformation scale). To assess the improvement of readability for existing online information, Prompt C requested that LLM rewrite 20 resources from a Google search of keyword "childhood glaucoma" to the American Medical Association-recommended "6th-grade level." Rewrites were compared on key metrics such as readability, complex words (≥3 syllables), and sentence count. RESULTS: All 3 LLMs generated PEMs that were of high quality, understandability, and accuracy (DISCERN ≥4, ≥70% PEMAT understandability, Misinformation score = 1). Prompt B responses were more readable than Prompt A responses for all 3 LLM (P ≤ .001). ChatGPT-4 generated the most readable PEMs compared to ChatGPT-3.5 and Bard (P ≤ .001). Although Prompt C responses showed consistent reduction of mean SMOG and FKGL scores, only ChatGPT-4 achieved the specified 6th-grade reading level (4.8 ± 0.8 and 3.7 ± 1.9, respectively). CONCLUSIONS: LLMs can serve as strong supplemental tools in generating high-quality, accurate, and novel PEMs, and improving the readability of existing PEMs on childhood glaucoma.

Quality, Reliability, Technical Quality, and Readability of Google Online Information on Childhood Glaucoma.

PURPOSE: To evaluate the quality, reliability, technical quality, and readability of online information related to childhood glaucoma. METHODS: In this cross-sectional study, no human subjects were studied. Analysis was done for online websites on childhood glaucoma. The terms "childhood glaucoma," "pediatric glaucoma," "congenital glaucoma," "buphthalmos," and "big eyes" were entered into the Google search engine and the first 100 search results were assessed for quality, reliability, technical quality, and readability. Peer-reviewed articles, patient forum posts, dictionary definitions, and websites that appeared as targeted ads, were not in English, or were not focused on humans were excluded. Each website was evaluated for (1) quality and reliability using the DISCERN, HONcode, and JAMA criteria; (2) technical quality assessing 11 technical aspects; and (3) readability using six separate criteria (Flesch-Kincaid Reading Ease Score and Grade Level, Gunning Fog Index score, the Simple Measure of Gobbledygook Index, Coleman-Liau Index, and Automated Readability Index). RESULTS: The median scores for the DISCERN, HONcode, and JAMA criteria were 2.6 (range = 1 to 4.75; 1 = worst, 5 = best), 10 (range = 0 to 16; 0 = worst, 16 = best), and 2 (range = 0 to 4; 0 = worst, 4 = best), respectively. The median technical quality score was 0.7. Readability was poor among most websites, with a median Flesch-Kincaid grade Grade Level Score of 9.3. The median Gunning Fog Index score was 9.8. There was a statistically significantly higher JAMA score and Gunning Fog Index score among the private websites compared to the institutional websites. However, institutional websites had higher technical quality. CONCLUSIONS: Online information on childhood glaucoma had poor to moderate quality and reliability. The technical quality is good; however, most websites' readability was above the recommended 5th to 6th grade reading level. [J Pediatr Ophthalmol Strabismus. 2024;61(3):198-203.].

Large language models: a new frontier in paediatric cataract patient education.

BACKGROUND/AIMS: This was a cross-sectional comparative study. We evaluated the ability of three large language models (LLMs) (ChatGPT-3.5, ChatGPT-4, and Google Bard) to generate novel patient education materials (PEMs) and improve the readability of existing PEMs on paediatric cataract. METHODS: We compared LLMs' responses to three prompts. Prompt A requested they write a handout on paediatric cataract that was 'easily understandable by an average American.' Prompt B modified prompt A and requested the handout be written at a 'sixth-grade reading level, using the Simple Measure of Gobbledygook (SMOG) readability formula.' Prompt C rewrote existing PEMs on paediatric cataract 'to a sixth-grade reading level using the SMOG readability formula'. Responses were compared on their quality (DISCERN; 1 (low quality) to 5 (high quality)), understandability and actionability (Patient Education Materials Assessment Tool (≥70%: understandable, ≥70%: actionable)), accuracy (Likert misinformation; 1 (no misinformation) to 5 (high misinformation) and readability (SMOG, Flesch-Kincaid Grade Level (FKGL); grade level <7: highly readable). RESULTS: All LLM-generated responses were of high-quality (median DISCERN ≥4), understandability (≥70%), and accuracy (Likert=1). All LLM-generated responses were not actionable (<70%). ChatGPT-3.5 and ChatGPT-4 prompt B responses were more readable than prompt A responses (p<0.001). ChatGPT-4 generated more readable responses (lower SMOG and FKGL scores; 5.59±0.5 and 4.31±0.7, respectively) than the other two LLMs (p<0.001) and consistently rewrote them to or below the specified sixth-grade reading level (SMOG: 5.14±0.3). CONCLUSION: LLMs, particularly ChatGPT-4, proved valuable in generating high-quality, readable, accurate PEMs and in improving the readability of existing materials on paediatric cataract.

Quality, Reliability, Readability, and Accountability of Online Information on Leukocoria.

PURPOSE: To evaluate the quality, reliability, and readability of online patient educational materials on leukocoria. METHODS: In this cross-sectional study, the Google search engine was searched for the terms "leukocoria" and "white pupil." The first 50 search outcomes were evaluated for each search term based on predefined inclusion criteria, excluding duplicates, peer-reviewed papers, forum posts, paywalled content, and multimedia links. Sources were categorized as "institutional" or "private." Three independent raters assessed each website for quality and reliability using DISCERN, Health on the Net Code of Conduct (HONcode), and JAMA criteria. Readability was evaluated using seven formulas: Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level (FKGL), Simple Measure of Gobbledygook (SMOG) Index, Automated Readability Index (ARI), Linsear Write (LW), Gunning Fog Index (GFI), and Coleman-Liau Index (CLI). RESULTS: A total of 51 websites were included. Quality, assessed by the DISCERN tool, showed a median score of 4, denoting moderate to high quality, with no significant differences between institutional and private sites or search terms. HONcode scores indicated variable reliability and trustworthiness (median: 10, range: 3 to 16), with institutional sites excelling in financial disclosure and ad differentiation. Additionally, institutional and private sites performed well in reliability and accountability, as measured by the JAMA Benchmark criteria (median: 3; range: 1 to 4). Readability, averaging an 11.3 ± 3.7 grade level, did not differ significantly between site types or search terms, consistently falling short of the recommended sixth-grade level for patient educational materials. CONCLUSIONS: The patient educational materials on leukocoria demonstrated moderate to high quality, commendable reliability, and accountability. However, the readability scores were above the recommended level for the layperson. [J Pediatr Ophthalmol Strabismus. 20XX;X(X):XX-XX.].