SynthesisPharmacoEconomics2018
Revealed and Stated Preferences of Decision Makers for Priority Setting in Health Technology Assessment: A Systematic Review.
Synthesis in PharmacoEconomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic Review of the Relative Social Value of Child and Adult Health.PharmacoEconomics · 2024Pooled it
- What matters to society when making decisions about reimbursing drugs for prostate cancer: a discrete choice experiment.Journal of the National Cancer Institute · 2026Article
- How policymakers value end-of-life treatments for rare and common diseases in China: evidence from a contingent valuation study.Global health research and policy · 2025Article
- Stakeholder survey about broad elements of value in health technology assessment in Australia: industry and academia more similar than different.International journal of technology assessment in health care · 2025Article
- Unravelling the Association Between Uncertainties in Model-based Economic Analysis and Funding Recommendations of Medicines in Australia.PharmacoEconomics · 2025Article
- Bring Out Your Dead: A Review of the Cost Minimisation Approach in Health Technology Assessment Submissions to the Australian Pharmaceutical Benefits Advisory Committee.PharmacoEconomics · 2024Review
- Article
- Resource allocation in public sector programmes: does the value of a life differ between governmental departments?Cost effectiveness and resource allocation : C/E · 2023Article
- Pregnant women's and policymakers' preferences for the expansion of noninvasive prenatal screening: A discrete choice experiment approach study.Health science reports · 2023Article
- Conjoint Analysis: A Research Method to Study Patients' Preferences and Personalize Care.Journal of personalized medicine · 2022Article
- Preference to Family Doctor Contracted Service of Patients with Chronic Disease in Urban China: A Discrete Choice Experiment.Patient preference and adherence · 2022Article
- Healthcare Funding Decisions and Real-World Benefits: Reducing Bias by Matching Untreated Patients.PharmacoEconomics · 2021Article
- The impact of vaccination on gender equity: conceptual framework and human papillomavirus (HPV) vaccine case study.International journal for equity in health · 2020Review
- Development of the WHO-INTEGRATE evidence-to-decision framework: an overview of systematic reviews of decision criteria for health decision-making.Cost effectiveness and resource allocation : C/E · 2020Review
- Weighing of Evidence by Health Technology Assessment Bodies: Retrospective Study of Reimbursement Recommendations for Conditionally Approved Drugs.Clinical pharmacology and therapeutics · 2019Article
- Determining Value in Health Technology Assessment: Stay the Course or Tack Away?PharmacoEconomics · 2019Article
- Health technology assessment (HTA) and economic evaluation: efficiency or fairness first.Journal of market access & health policy · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere is much interest from stakeholders in understanding how health technology assessment (HTA) committees make national funding decisions for health technologies. A growing literature has analysed past decisions by committees (revealed preference, RP studies) and hypothetical decisions by committee members (stated preference, SP studies) to identify factors influencing decisions and assess their importance.
objectivesA systematic review of the literature was undertaken to provide insight into committee preferences for these factors (after controlling for other factors) and the methods used to elicit them.
methodsOvid Medline, Embase, Econlit and Web of Science were searched from inception to 11 May 2017. Included studies had to have investigated factors considered by HTA committees and to have conducted multivariate analysis to identify the effect of each factor on funding decisions. Factors were classified as being important based on statistical significance, and their impact on decisions was compared using marginal effects.
resultsTwenty-three RP and four SP studies (containing 42 analyses) of 14 HTA committees met the inclusion criteria. Although factors were defined differently, the SP literature generally found clinical efficacy, cost-effectiveness and equity factors (such as disease severity) were each important to the Pharmaceutical Benefits Advisory Committee (PBAC), the National Institute for Health and Care Excellence (NICE) and the All Wales Medicines Strategy Group. These findings were supported by the RP studies of the PBAC, but not the other committees, which found funding decisions by these and other committees were mostly influenced by the acceptance of the clinical evidence and, where applicable, cost-effectiveness. Trust in the evidence was very important for decision makers, equivalent to reducing the incremental cost-effectiveness ratio (cost per quality-adjusted life-year) by A$38,000 (Australian dollars) for the PBAC and £15,000 for NICE.
conclusionsThis review found trust in the clinical evidence and, where applicable, cost-effectiveness were important for decision makers. Many methodological differences likely contributed to the diversity in some of the other findings across studies of the same committee. Further work is needed to better understand how competing factors are valued by different HTA committees.
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Identifiers
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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.