Evidence map›Paper›PMID 42609379›Full record

ArticleFrontiers in pharmacology2026

Physician preferences for prescribing Chinese patent medicines during pregnancy: a discrete choice experiment.

Zhangyuan Yao, Yuhang Zhang, Juncheng Shu, Ting Ying, Jing Li, Yuqian Xu, Qian Zhu, Rixiang Xu, Yuanyuan Zhang, Xuefeng Xie

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

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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.

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

10 authors.

Zhangyuan YaoSchool of Pharmacy, Anhui Medical University, Hefei, China.
Yuhang ZhangSchool of Pharmacy, Anhui Medical University, Hefei, China.
Juncheng ShuSchool of Pharmacy, Anhui Medical University, Hefei, China.
Ting YingSchool of Pharmacy, Anhui Medical University, Hefei, China.
Jing LiSchool of Pharmacy, Anhui Medical University, Hefei, China.
Yuqian XuSchool of Pharmacy, Anhui Medical University, Hefei, China.
Qian ZhuSchool of Pharmacy, Anhui Medical University, Hefei, China.
Rixiang XuSchool of Humanistic Medicine, Anhui Medical University, Hefei, China.
Yuanyuan ZhangSchool of Pharmacy, Anhui Medical University, Hefei, China.
Xuefeng XieSchool of Pharmacy, Anhui Medical University, Hefei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prescribing Chinese patent medicines (CPMs) during pregnancy requires physicians to balance fetal safety, expected maternal benefit, patient preference, affordability, and limited pregnancy-specific evidence. Quantitative evidence on how these factors are traded off remains limited. Objective: To quantify physicians' preferences for prescribing CPMs during pregnancy, estimate the DCE-derived relative importance of key prescribing attributes, and explore preference patterns across physician subgroups. Methods: An unlabeled, forced-choice discrete choice experiment was conducted among physicians from a multi-tier medical consortium comprising 10 healthcare institutions in Anhui Province, China. Of 237 submitted questionnaires, 198 were retained for analysis, corresponding to a questionnaire validity rate of 83.54%. Seven attributes were included: fetal safety impact, treatment stage, patient willingness, prior prescribing experience with the specific CPMs, route of administration, patient affordability, and drug efficacy. A mixed logit model was used to estimate preference parameters and DCE-derived relative importance. Results: Compared with significant fetal impact, profiles indicating no fetal impact (β = 3.074, 95% CI 2.587 to 3.560, Conclusion: Fetal safety was the most influential attribute in physicians' choices between hypothetical CPMs profiles during pregnancy. Patient willingness, administration route, affordability, treatment stage, and efficacy also contributed to choices, whereas prior prescribing experience with the specific CPMs was not significantly associated with selection. The findings may inform evidence summaries, decision-support tools, and structured communication, but effects on actual prescribing and clinical outcomes require prospective evaluation.

Indexed as

Chinese patent medicinesdiscrete choice experimentdrug safetypregnancyprescribing preferences

Identifiers

PMID42609379
PMCPMC13478104

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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.