ArticleDaru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences2024
Towards greater impact in health technology assessment: System dynamic approach for new and emerging technologies in Iran.
Article in Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
- Challenges in adopting health technology assessment for evidence-based policy in Iran: a qualitative study.Journal of health, population, and nutrition · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAs classical health technology assessment models fail to predict the complexities of related impacts, the application of modeling techniques such as systems dynamics simulation (SD) is essential. This study aimed to develop an SD model to predict the outcomes of access to a new medicine in Iran.
methodsThis study extracted the important and influential variables in providing access to new pharmaceutical technologies by comprehensively reviewing previous research and combining the technical knowledge of experts in this field. The variables were incorporated into the systems thinking framework and modeled using dynamic systems tools, followed by simulation and testing in VENSIM. The model was piloted for deferoxamine and deferasirox in thalassemia. Various tests were used to evaluate the validity and reliability of the model. The model was designed for a ten-year horizon (2018-2028) for medicines selected as the pilot.
resultsThe variables extracted from the panel of experts encompassed the primary and short-term impacts of access to newly emerged medicine and long-term impacts regarding the economy, health, and society. After modeling, the leverage points presented for the problem with the greatest impact or effectiveness in access to new medicine included the policy determining the amount of medicine supply, the import and production of medicine, the prevalence and incidence of disease, insurance coverage, and treatment adherence.
conclusionThe SD models allow the researchers to evaluate the efficiency and health outcomes of a new pharmaceutical more precisely in the health system in Iran.
Indexed as
Identifiers
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.