ArticleFrontiers in medical technology2021
Can We Afford to Exclude Patients Throughout Health Technology Assessment?
Article in Frontiers in medical technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Strengthening health technology assessment in Greece: industry-identified barriers and recommendations.Frontiers in public health · 2026Article
- How to mobilise users' experiential knowledge in the evaluation of advanced technologies and practices in Quebec? The example of the permanent users' and relatives' panel.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Systematic review for the development of a core outcome set for monofocal intraocular lenses for cataract surgery.Frontiers in medicine · 2024Article
- Civil society and medical product access in Africa: Lessons from COVID-19.Frontiers in medical technology · 2023Article
- Where National Medicines Policies Have Taken Us With Patient Involvement and Health Technology Assessment in Africa.Frontiers in medical technology · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health technology assessment (HTA) is intended to determine the value of health technologies and, once a technology is recommended for funding, bridge clinical research and practice. Understanding the values and beliefs expressed by patients and health professionals can help guide this knowledge transfer and work toward managing the expectations of end users. We gathered patient and patient group leader experiences to gain insights into the roles that patients and patient advocacy groups are playing. We argue that through partnerships and co-creation between HTA professionals, researchers and patient advocates we can strengthen the HTA process and better align with service delivery where person-centered care and shared decision making are key elements. Patient experiences and knowledge are important to the democratization of evidence and the legitimacy of HTAs. Patient preference studies are used to balance benefits with potential harms of technologies, and patient-reported outcomes (PROs) can measure what matters to patients over time. A change in culture in HTA bodies is occurring and with further transformative thinking patients can be involved in every step of the HTA process. Patients have a right to be involved in HTAs, with patients' values central to HTA deliberations on a technology and where patients can provide valuable insights to inform HTA decision-making; and in ensuring that HTA methodologies evolve. By evaluating the implementation of HTA recommendations we can determine how HTA benefits patients and their communities. Our shared commitment can positively effect the common good and provide benefits to individual patients and their communities.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.