ArticleAmerican journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2022
How to select a best-value biological medicine? A practical model to support hospital pharmacists.
Article in American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 7 citations in OpenAlex.
- A Reliability Tier Classification System (RTCS) for Marketed Exosome-Based Products to Facilitate Clinical Decision-Making.Clinical, cosmetic and investigational dermatology · 2026Article
- Beyond cost: a value-based framework for biosimilar procurement in emerging markets - the Thai experience.Journal of pharmaceutical policy and practice · 2025Article
- An innovative tool to prioritize the assessment of investigational COVID-19 therapeutics: A pilot project.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024Article
- The impact of EU public procurement regulations on tenders in Spain: a study with adalimumab.Frontiers in pharmacology · 2024Article
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 at 3 institutions in 2 countries.
Funding
Abstract
purposeWith the growing availability of biosimilars on the global market, clinicians and pharmacists have multiple off-patent biological products to choose from. Besides the competitiveness of the product's price, other criteria should be considered when selecting a best-value biological. This article aims to provide a model to facilitate transparent best-value biological selection in the off-patent biological medicines segment. SUMMARY: The presented model was developed on the basis of established multicriteria decision analysis tools for rational and transparent medicine selection, ie, the System of Objectified Judgement Analysis and InforMatrix. Criteria for the model were informed by earlier research, a literature search, and evaluation by the authors. The developed model includes up-to-date guidance on criteria that can be considered in selection and provides background on the allocation of weights that may aid hospital pharmacists and clinicians with decision-making in practice. Three main categories of criteria besides price were identified and included in the model: (1) product-driven criteria, (2) service-driven criteria, and (3) patient-driven criteria. Product-driven criteria include technical product features and licensed therapeutic indications. Service-driven criteria consist of supply conditions, value-added services, and environment and sustainability criteria. Patient-driven criteria contain product administration elements such as ease of use and service elements such as patient support programs. Relative weighting of the criteria is largely context dependent and should in a given setting be determined at the beginning of the process.
conclusionThe practical model described here may support hospital pharmacists and clinicians with transparent and evidence-based best-value biological selection in clinical practice.
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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.