Vol. 2 No. 1 (2023): Advancing Quality Care and Patient Safety

Original Research Article

Translation and validation of the Vietnamese version of the Pain Self-Efficacy Questionnaire in patients with cancer

Son Dinh Vu
Faculty of Medicine, Vinh Phuc College, Vietnam
Phuong Cam Pham
Center for Nuclear Medicine and Oncology, Bach Mai Hospital, Vietnam
Chinh Thi Minh Nguyen
Postgraduate Training Department, Nam Dinh University of Nursing, Vietnam
Anh Ngoc Pham
National Cancer Institute, Vietnam


cancer, pain self-efficacy questionnaire, reliability, validity

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Accepted for publication: 2023-02-17
Peer reviewed: Yes

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Background: The Pain Self-Efficacy Questionnaire (PSEQ) measures self-efficacy for pain management in patients with chronic pain, including cancer pain. Although the questionnaire has been translated into many other languages, it has not yet been translated and tested in Vietnam.

Objective: This study aimed to translate and validate the PSEQ into Vietnamese.

Methods: The PSEQ was translated into Vietnamese using Brislin’s model. Next, the Vietnamese version of the questionnaire (Viet-PSEQ) was evaluated for content validity by six experts using the Item-Content Validity Index (I-CVI) and the Scale-Content Validity Index (S-CVI). The reliability of the questionnaire was examined with 30 patients with cancer, using test-retest reliability (Intra-Class Correlation - ICC) and internal consistency (Cronbach’s α).

Results: The I-CVI values ranged from 0.5 to 0.88, and the S-CVI value was 0.93. The Cronbach's alpha was 0.91, and the ICC was 0.99 (95% CI: 0.949 – 0.997, p <0.001).

Conclusion: The Viet-PSEQ was found to be valid and reliable. Healthcare professionals can use this instrument to measure self-efficacy for pain management in patients with cancer in Vietnam.

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Declaration of Conflicting Interest

The authors declare no conflicts of interest concerning the research, authorship, and publication of this article.


The authors expressed appreciation to all participants for supporting this study.

Authors’ Contributions

SDV: Searching for documents, developing outlines, collecting data, writing draft articles, and completing main articles. PCP, CTMN: reviewed the quality and revised the manuscript. ANP: Searching for documents; performed data collection, data cleaning, data entry, and data analysis. All authors made final approval of the manuscript and agreed with the final version of the manuscript.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding author upon reasonable request. The Viet-PSEQ is available in the supplementary file.

Declaration of the Use of AI in Scientific Writing

Nothing to declare.


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