Assessing the Accuracy, Quality, and Readability of Information Related to the Surgical Management of Benign Prostatic Hyperplasia
Bibliographic record
Abstract
Objectives: To assess the accuracy, quality, and readability of online educational health information in English related to the most common benign prostatic hyperplasia (BPH) guideline-approved surgical treatments. Methods: The terms “benign prostatic hyperplasia,” “BPH,” and all eight guideline-approved treatment modalities studied, were searched to retrieve the first five relevant websites and first two paid advertised websites related to the surgical treatment options for BPH. These modalities included transurethral resection of the prostate (TURP), GreenLight photovaporization, endoscopic enucleation of the prostate, Rezum, Urolift, Aquablation, open simple prostatectomy, and robotic simple prostatectomy (RSP). All relevant websites were assessed for their accuracy, quality, and readability using standardized scoring systems. Results: The mean accuracy score for each of the treatment modalities were all indicative of good accuracy, with 76%–99% of the information presented as being accurate. The median quality score was statistically different across the eight treatment modalities ( p = 0.015). The median readability grade level was statistically different across the eight treatment modalities ( p = 0.009). Websites that described TURP (median readability grade level, 9.00 [interquartile range (IQR) 8.00–10.80]) were significantly easier to read than those related to RSP (median readability grade level, 14.35 [IQR, 11.08–16.50]) ( p = 0.011). No other statistically significant differences were found within the other treatment modality websites. Conclusions: The majority of websites retrieved were found to be of high accuracy, good quality, and poor readability. Additionally, it was found that none of the retrieved websites included descriptions for all the other included treatment modalities. Given these findings, the authors recommend the development of centralized resources with all guideline-approved treatment modalities and accurate, readable, and high-quality information related to the surgical treatment of BPH.
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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 | 0.009 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".