The international HTA database returned incomplete search results for NICE technology appraisals: An exploratory study and discussion of the implications
Bibliographic record
Abstract
Introduction: The International Network of Agencies for Health Technology Assessment (INAHTA) database offers a single point of access for identifying technology appraisals, in contrast to searching multiple websites directly. The aim of this research is to compare the coverage of the INAHTA and Centre for Reviews and Dissemination (CRD) Health Technology Assessment (HTA) databases with direct searching on the National Institute for Health and Care Excellence (NICE) website to identify Technology Appraisals published by NICE. Methods: NICE Technology Appraisals were downloaded from the NICE website (April 2022). Technology Appraisals were randomized and the first 20 Technology Appraisals constituted data for analysis. The INAHTA and CRD HTA databases were searched to determine if the 20 Technology Appraisals available on the NICE website were also available for retrieval. Results: Coverage was incomplete. INAHTA: 15 of 20 Technology Appraisals (75%) were not identified via full title or intervention-specific searches. CRD HTA: 7 of 12 Technology Appraisals (58%) that were published before the last update of the database were not identified. Conclusion: Findings indicate that researchers seeking to identify NICE Technology Appraisals should search the NICE website directly. How this finding impacts identification of guidance from other agencies should be evaluated.
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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 | 0.056 | 0.055 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".