Evidence map›Paper›PMID 40608737›Full record

ArticlePloS one2025

Biosimilars in practice: Discriminant factors influencing prescription decisions among physicians in Thailand.

Chaoncin Sooksriwong, Ekapong Kachai, Wanruchada Katchamart, Ponlapat Rojnuckarin, Ekaphop Sirachainan, Tuangrat Phodha

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
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

6 authors.

Chaoncin SooksriwongDrug Information and Consumer Protection Center, Center of Excellence in Pharmacy Practice and Management Research, Faculty of Pharmacy, Thammasat University, Rangsit Campus, Pathum Thani, Thailand.
Ekapong KachaiDrug Information and Consumer Protection Center, Center of Excellence in Pharmacy Practice and Management Research, Faculty of Pharmacy, Thammasat University, Rangsit Campus, Pathum Thani, Thailand.ORCID https://orcid.org/0009-0007-6586-2954
Wanruchada KatchamartDivision of Rheumatology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Ponlapat RojnuckarinDivision of Hematology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-7912-1996
Ekaphop SirachainanOncology Unit, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Tuangrat PhodhaDrug Information and Consumer Protection Center, Center of Excellence in Pharmacy Practice and Management Research, Faculty of Pharmacy, Thammasat University, Rangsit Campus, Pathum Thani, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to assess the discriminant factors and determine the cutoff value which can predict or classify the group of prescribed and non-prescribed biosimilar among Thai physicians. The online surveys were distributed to physicians via major three medical associations in Thailand. Five psychological variables were obtained from the surveys (familiarity, attitude toward biosimilar medication, attitude toward biosimilar practice scenarios, attitude toward naming biosimilars in prescriptions, and attitude toward pricing of biosimilar). The point-based system was used to score all variables and transformed to percentage. The assumptions were tested before using discriminant function analysis (DFA). Total 82 respondents were analyzed. Data of all variables met the assumptions of DFA. Familiarity was the most influential factor to differentiate the group of physicians, followed by attitude toward biosimilar medication. The cutoff value for group differences was -0.600. The accuracy rate of discriminant function equations was 82.9% overall for the stepwise method. The study concluded that the psychological factors such as familiarity with biosimilars and attitude toward biosimilars would play a significant role to classify between prescribed and non-prescribed biosimilar groups.

Indexed as

Biosimilar PharmaceuticalsDrug PrescriptionsPhysiciansPractice Patterns, Physicians'AdultAttitude of Health PersonnelDiscriminant AnalysisFemaleHumansMaleMiddle AgedSurveys and QuestionnairesThailandBiosimilar Pharmaceuticals

Identifiers

PMID40608737
PMCPMC12225845

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.