Evidence map›Paper›PMID 40686337›Full record

ArticleInternational journal of technology assessment in health care2025

Development and implementation of a value framework for rapid health technology assessment reports: enhancing evidence-informed decision making in resource-constrained settings.

Andrea Alcaraz, Fernando Argento, Veronica Alfie, Sebastián García Martí, Ariel Bardach, Agustín Ciapponi, Federico Augustovski, Andres Pichon-Riviere

Abstract read
In one paragraph

Article in International journal of technology assessment in health care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Andrea AlcarazHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0002-4260-8239
Fernando ArgentoHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Veronica AlfieHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0001-7537-7337
Sebastián García MartíHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0003-3274-7275
Ariel BardachHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Agustín CiapponiHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Federico AugustovskiHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.
Andres Pichon-RiviereHealth Technology Assessment and Economic Evaluation Department, https://ror.org/02nvt4474Institute for Clinical Effectiveness and Health Policy, Buenos Aires, Argentina.ORCID https://orcid.org/0000-0001-6052-025X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesValue frameworks play a crucial role in bridging the gap between evidence and decision making in health care, particularly in settings with limited resources as low- and middle-income countries (LMIC). In this study, we present the development of a value framework (VF) targeted to provide coverage recommendations in rapid health technology assessment reports (rHTA) as well as its first 5 years of implementation.

methodsWe performed an exhaustive literature search with the aim to identify existing VFs and their dimensions followed by the generation of a VF proposal through a mixed methods, qualitative-quantitative approach including a Delphi panel to weigh the criteria and correlate them with the subsequent recommendations. To describe its implementation, we present the results of 264 rHTA reports from 2017 to 2022.

resultsThe value framework has three main domains (quality of evidence, net benefit, and economic impact). We adapted widely used methodologies for quality of evidence and net benefit domains. The economic impact domain was the most complex to assess, so an ad hoc method was developed. Analysis of 265 HTAs revealed the distribution of recommendations across different criteria and technology types. Most were for drugs (40.5 percent) or therapeutic procedures (36 percent). With a five-category final recommendation, 0.8 percent were favorable, 19.7 percent were uncertain, and 44 percent were unfavorable.

conclusionThe VF demonstrated its versatility and practicality in meeting the needs of rHTA audience, and can facilitate evidence-informed decision making. This VF serves as a valuable tool for conducting adaptive rHTAs and supports decision-making processes in Argentina and similar LMIC contexts.

Indexed as

Decision MakingTechnology Assessment, BiomedicalCost-Benefit AnalysisDelphi TechniqueDeveloping CountriesHealth ResourcesHumansdeveloping countriesevidence-based practicehealth policyhealth technology assessmentrapid assessmentvalue frameworks

Identifiers

PMID40686337
PMCPMC12390745

What OpenQuestion holds

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LicenceCC BY
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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.