Evidence map›Paper›PMID 42835262›Full record

ArticleFrontiers in pharmacology2026

Determinants of off-label drug acceptance in pregnancy: insights from an extended UTAUT model.

Chunhong Liang, Fayan Que, Pingzhi Peng, Lijuan Zhou, Qian Qiu, Yi Pang, Xueyan Zhang

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chunhong Liang *Office of Drug Clinical Trial Institution, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.
Fayan Que *Department of Obstetrics and Gynecology, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.
Pingzhi PengOffice of Drug Clinical Trial Institution, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.
Lijuan ZhouDepartment of Pharmacy, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.
Qian QiuDepartment of Obstetrics and Gynecology, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.
Yi PangDepartment of Obstetrics and Gynecology, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.
Xueyan ZhangDepartment of Pharmacy, The First People's Hospital of Yulin, The Sixth Affiliated Hospital of Guangxi Medical University, Yulin, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Off-label drug use (OLDU) is prevalent in obstetrics due to the scarcity of medications approved for pregnancy, raising potential risks and ethical challenges, particularly concerning informed consent. In this study, we aimed to identify the key determinants of OLDU acceptance among pregnant women using an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. Methods: A cross-sectional survey of 506 pregnant women was conducted at a tertiary hospital using a validated UTAUT-based questionnaire. Multivariable linear regression identified factors associated with behavioral intention. Six perceived risk-by-subgroup interactions were tested, with Results: A total of 57.51% of participants were willing to accept OLDU when recommended by a doctor, whereas only 46.44% had understood the definition prior to the study. In the multivariable regression, trust showed the strongest positive association with behavioral intention (B = 0.380, β = 0.377, and Conclusion: The findings highlight the importance of trust and facilitating conditions in OLDU acceptance. The positive association between perceived risk and behavioral intention indicates that recognition of potential risks and willingness to accept treatment are not necessarily mutually exclusive in this clinical decision-making context, although the explanation for this association remains uncertain. This study supports the utility of the extended UTAUT model for understanding high-risk medical decisions and underscores the importance of trust-building and transparent benefit-risk communication in clinical practice.

Indexed as

cross-sectional surveyinformed consentoff-label drug usepregnant womentrustUTAUT model

Identifiers

PMID42835262
PMCPMC13635127

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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.