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Record W4406535520 · doi:10.1155/ijcp/2248512

Understanding Community Pharmacists’ Knowledge, Attitudes, and Practices Regarding Biosimilar Drugs: A Cross‐Sectional Survey

2025· article· en· W4406535520 on OpenAlexaff
Anan S. Jarab, Walid Al‐Qerem, Karem H. Alzoubi, Shrouq Abu Heshmeh, Yazid N. Al Hamarneh, Eman Alefishat, Salahdein Aburuz

Bibliographic record

VenueInternational Journal of Clinical Practice · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineBiosimilarCross-sectional studyFamily medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Background: Understanding pharmacists’ knowledge, attitudes, and practices towards biosimilar therapy and exploring the potential barriers are a preliminary step in the road to the adoption of biosimilar therapy in community pharmacy and clinical practice. Objective: The aim of current study was to evaluate pharmacists’ understanding, investigate the factors that shape their attitudes and practices regarding biosimilar therapy, and identify the barriers to utilizing biosimilars in community pharmacies. Methods: A validated self‐administered survey was disseminated in person to community pharmacists in different geographical regions of the UAE. Eligible participants were individuals who graduated from universities recognized by the UAE Ministry of Higher Education and were registered as community pharmacists in the UAE. The questionnaire included five sections that evaluated sociodemographic characteristics, knowledge and attitudes with respect to biosimilar therapy, the extent of its utilization, and the potential barriers that may limit the use of this therapy in community pharmacy settings. A quantile regression analysis was performed to explore the variables associated with pharmacists’ attitudes and practices regarding biosimilar therapy. Results: The study included 504 pharmacists. The [median (IQR)] scores revealed a window for knowledge improvement [3 (1–5)] out of a maximum possible score of 8, unfavourable attitude [25 (22–30)] out of a maximum possible score of 40 and inadequate practice [27 (24–30) out of a maximum possible score of 45] concerning biosimilar utilization in clinical practice. The most commonly reported barriers to considering biosimilar therapy were lack of experience (40.67%), insufficient knowledge (40.47%) and lack of confidence (36.70%). Female pharmacists and those who had a B Pharm degree or used Lexicomp as an information source reported higher attitude scores. Moreover, pharmacists in charge or employee pharmacists, and those who had more than 10 years of experience and higher knowledge levels, reported improved attitude scores. However, pharmacists who dispensed less than 10 prescriptions per day, and those who reported lower knowledge and/or attitude scores exhibited lower practice levels. Conclusions: The current study revealed a lack of knowledge, unfavourable attitudes and insufficient practices related to biosimilar therapy among community pharmacists, along with several identified barriers. Future efforts should focus on comprehensive educational programs that deliver up‐to‐date clinical information and emphasize the benefits of biosimilar drugs, specifically targeting male pharmacists, those with postgraduate degrees, pharmacy owners, pharmacists with less work experience, and those who dispense fewer prescriptions per day. These interventions are essential for enhancing pharmacists’ knowledge and attitudes and, hence, improved practice with respect to biosimilar drugs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.398
GPT teacher head0.582
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2025
Admission routes1
Has abstractyes

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