Evidence map›Paper›PMID 38879730›Full record

SynthesisBioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy2024

Barriers and Enablers Affecting the Uptake of Biosimilar Medicines Viewed Through the Lens of Actor Network Theory: A Systematic Review.

Chad Rieger, Judith A Dean, Lisa Hall, Paola Vasquez, Gregory Merlo

Abstract readSystematic Review
In one paragraph

Synthesis in BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Chad RiegerFaculty of Medicine, University of Queensland, Brisbane, Australia. c.rieger@uq.net.au.ORCID http://orcid.org/0009-0003-1902-0343
Judith A DeanFaculty of Medicine, School of Public Health, University of Queensland, Brisbane, Australia.
Lisa HallFaculty of Medicine, School of Public Health, University of Queensland, Brisbane, Australia.
Paola VasquezCentre for Health Services Research, University of Queensland, Brisbane, Australia.
Gregory MerloFaculty of Medicine, School of Public Health, University of Queensland, Brisbane, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveBiosimilars represent an opportunity to realise savings against the costs of innovative medicines. Despite efforts made by stakeholders, there are numerous barriers to the uptake of biosimilars. To realise the promise of biosimilars reducing costs, barriers must be identified, understood, and overcome, and enablers magnified. The aim of this systematic review is to summarise the enablers and barriers affecting uptake of biosimilars through the application of a classification system to organise them into healthcare professional (HCP), patient, or systemic categories.

methodsA systematic literature search was performed in PubMed, Scopus, CINAHL, eConlit, and Embase. Included were primary research studies published in English between Jan 2017 through June 2023 focused on enablers and barriers affecting uptake of biosimilars. Excluded studies comprised comparisons of biosimilar efficacy and safety versus the reference biologic. One reviewer extracted data that included classification of barriers or enablers, the sub-classification, and the identification of the degree of agency associated with the actor through their role and associations as a mediator within their network, through the application of Actor Network Theory. The data were validated by a second reviewer (PV).

resultsOf the 94 studies included, 59 were cross-sectional, 20 were qualitative research, 12 were cohort studies, and three were economic evaluations. Within the review, 51 of the studies included HCP populations and 35 included patients. Policies and guidelines were the most cited group of enablers, overall. Systemic enablers were addressed in 29 studies. For patients, the most frequently cited enabler was positive framing of a biosimilar, while for HCPs, cost benefit was the most frequently noted enabler. The most frequently discussed systemic barrier to biosimilar acceptance was lack of effective policies or guidelines, followed by lack of financial incentives, while the most significant barriers for HCPs and patients, respectively, were their lack of general knowledge about biosimilars and concerns about safety and efficacy. Systemic actors and HCPs most frequently acted with broad degree of agency as mediators, while patient most frequently acted with a narrow degree of agency as mediators within their networks.

conclusionsBarriers and enablers affecting uptake of biosimilars are interconnected within networks, and can be divided into systemic, HCP, and patient categories. Understanding the agency of actors within networks may allow for more comprehensive and effective approaches. Systemic enablers in the form of policies appear to be the most effective overall levers in affecting uptake of biosimilars, with policy makers advised to give careful consideration to appropriately educating HCPs and positively framing biosimilars for patients.

Indexed as

Biosimilar PharmaceuticalsBiosimilar Pharmaceuticals

Identifiers

PMID38879730
PMCPMC11247062

What OpenQuestion holds

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Registered trials

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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.