Introducing patients' and the public's perspectives to health technology assessment: A systematic review of international experiences
Bibliographic record
Abstract
OBJECTIVES: The aim of this study was to review international experiences of patient or public involvement in the field of health technology assessment (HTA). METHODS: A systematic review of the scientific literature was conducted. A literature search was performed across nine databases. Other literature was identified through citation tracking, government websites (HTA agencies), and Internet search engines. Characteristics of the studies, description of the activities related to patient or public involvement, impact of these activities on the HTA process, and factors facilitating or limiting involvement were abstracted independently by two reviewers. RESULTS: A total of 1,441 potentially relevant papers were identified by the main search strategy. Among these, seventeen papers met the inclusion criteria; other search strategies identified seven additional documents. The findings reveal that patient or public involvement in HTA activities was reported in two domains, research and HTA process. In the research domain, patients are consulted to gather evidence about their perspectives, experiences, or preferences about a health technology. These perspectives could add key dimensions to the evaluation of health technologies that might otherwise be overlooked. In the domain of the HTA process, patients or public representatives participate in different stages of this process: prioritization, evidence assessment, or dissemination of findings. CONCLUSIONS: There are few published examples of experiences involving patients and the public in HTA. These examples show that patients' or the public's perspectives could add important dimensions to the evaluation of health technologies. However, there is a need to develop more systematic approaches to considering patients' and the public's perspectives in HTA.
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 | 0.019 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.005 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".