Patient-Oriented Methotrexate Information Sites on the Internet: A Review of Completeness, Accuracy, Format, Reliability, Credibility, and Readability
Bibliographic record
Abstract
OBJECTIVE: With continuing use of the Internet, rheumatologists are referring patients to various websites to gain information about medications and diseases. Our goal was to develop and evaluate a Medication Website Assessment Tool (MWAT) for use by health professionals, and to explore the overall quality of methotrexate information presented on common English-language websites. METHODS: Identification of websites was performed using a search strategy on the search engine Google. The first 250 hits were screened. Inclusion criteria included those English-language websites from authoritative sources, trusted medical, physicians', and common health-related websites. Websites from pharmaceutical companies, online pharmacies, and where the purpose seemed to be primarily advertisements were also included. Product monographs or technical-based web pages and web pages where the information was clearly directed at patients with cancer were excluded. Two reviewers independently scored each included web page for completeness and accuracy, format, readability, reliability, and credibility. An overall ranking was provided for each methotrexate information page. RESULTS: Twenty-eight web pages were included in the analysis. The average score for completeness and accuracy was 15.48+/-3.70 (maximum 24) with 10 out of 28 pages scoring 18 (75%) or higher. The average format score was 6.00+/-1.46 (maximum 8). The Flesch-Kincaid Grade Level revealed an average grade level of 10.07+/-1.84, with 5 out of 28 websites written at a reading level less than grade 8; however, no web page scored at a grade 5 to 6 level. An overall ranking was calculated identifying 8 web pages as appropriate sources of accurate and reliable methotrexate information. CONCLUSION: With the enormous amount of information available on the Internet, it is important to direct patients to web pages that are complete, accurate, readable, and credible sources of information. We identified web pages that may serve the interests of both rheumatologists and patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".