Examination of instruments used to rate quality of health information on the internet: chronicle of a voyage with an unclear destination
Bibliographic record
Abstract
<h3>Abstract</h3> <b>Objective:</b> This study updates work published in 1998, which found that of 47 rating instruments appearing on websites offering health information, 14 described how they were developed, five provided instructions for use, and none reported the interobserver reliability and construct validity of the measurements. <b>Design:</b> All rating instrument sites noted in the original study were visited to ascertain whether they were still operating. New rating instruments were identified by duplicating and enhancing the comprehensive search of the internet and the medical and information science literature used in the previous study. Eligible instruments were evaluated as in the original study. <b>Results:</b> 98 instruments used to assess the quality of websites in the past five years were identified. Many of the rating instruments identified in the original study were no longer available. Of 51 newly identified rating instruments, only five provided some information by which they could be evaluated. As with the six sites identified in the original study that remained available, none of these five instruments seemed to have been validated. <b>Conclusions:</b> Many incompletely developed rating instruments continue to appear on websites providing health information, even when the organisations that gave rise to those instruments no longer exist. Many researchers, organisations, and website developers are exploring alternative ways of helping people to find and use high quality information available on the internet. Whether they are needed or sustainable and whether they make a difference remain to be shown. <h3>What is already known on this topic</h3> The rapid growth of healthcare websites in the 1990s was accompanied by initiatives to rate their quality, including award-like symbols on websites A systematic review of the reliability and validity of such rating instruments, published in 1998, showed that they were incompletely developed <h3>What this study adds</h3> Few of the rating instruments identified in 1998 remain functional; 51 new instruments were identified Of the 51 newly identified instruments, 11 were not functional, 35 were available but provided no information, and five provided information but were not validated Many researchers, organisations, and website developers are exploring alternative ways of helping people to find high quality information on the internet
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.057 | 0.167 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".