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Review and thematic analysis

XL Xing Liu
XL Xiaoran Lu
WZ Wei Zhou
JH Jessica Hahne
KK Kaveh Khoshnood
XS Xiaoting Shi
YZ Yuqiong Zhong
XW Xiaomin Wang
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Thematic analysis focuses on identifying themes and the relationships between themes within a dataset [30]. Following the procedure outlined by Braun and Clarke [31], two authors (YQZ and XMW) performed thematic analysis. First, significant phrases and sections of the publications included in this review were coded inductively with reference to the research question; these initial codes were then sorted and clustered into categories, which enabled identification of themes derived from the data and centered on the research question of challenges in informed consent in cancer clinical drug trials. The themes were reviewed and refined iteratively and reflexively, until they were distinctive and coherent [31]. Discrepancies in the opinions of the two coders (YQZ and XMW) were resolved through discussion. If agreement was not reached, a third author (JH) was consulted to reach consensus. The NVivo software (Version 11) was used for the organization of data and thematic analysis.

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