Use of health technology assessment in decision making: Coresponsibility of users and producers?
Bibliographic record
Abstract
OBJECTIVES: Health technology assessment (HTA) is a policy-oriented form of research designed to inform decision-makers on the introduction, use, and dissemination of health technology. Whereas research on knowledge transfer has focused on knowledge producers, little attention has been given to the user's perspective. This study examines how health-care provider, administrator, and patient associations across Canada use HTA reports and the limitations they encounter when accessing and using scientific knowledge. METHODS: This study draws from semistructured interviews (n=42) conducted with three types of user, located in British Columbia, Alberta, Saskatchewan, Ontario, and Quebec. Applying well-established conceptual categories in knowledge utilization research, our qualitative analyses sought to define more precisely how HTA is used by interviewees as well as the most significant barriers they encounter. RESULTS: The vast majority of users recognize the usefulness and credibility of HTA reports. Of interest, the way they use HTA takes different forms. Although administrators and health-care providers are in a better position than patient associations to act directly on HTA messages--making an instrumental use of HTA--we also found conceptual and symbolic uses across all groups. Our results also indicate that significant organizational, scientific, and material limitations hinder the use of scientific evidence. Overcoming such barriers requires a greater commitment from both HTA producers and users. CONCLUSIONS: This study argues that, to ensure better uptake of HTA, it should become a shared responsibility between HTA producers and various types of user.
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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 | 0.014 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".