Translation and psychometric testing of the Chinese version of the Perinatal Missed Care Survey

Shenglan Ding; Xin Wang; Qingxia Wang; Juan Shen; Huili Xie; Xiujuan Fu; Luxi Liao; Jiaojiao Chen; Lian Zhu; Jing Huang; Siyuan Yang; Xiuhua Huang; Yilan Zhang

International Journal of Nursing Sciences (Jan 2024)

Translation and psychometric testing of the Chinese version of the Perinatal Missed Care Survey

Shenglan Ding,
Xin Wang,
Qingxia Wang,
Juan Shen,
Huili Xie,
Xiujuan Fu,
Luxi Liao,
Jiaojiao Chen,
Lian Zhu,
Jing Huang,
Siyuan Yang,
Xiuhua Huang,
Yilan Zhang

Affiliations

Shenglan Ding: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Xin Wang: Department of Nursing, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Qingxia Wang: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Juan Shen: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Huili Xie: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Xiujuan Fu: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Luxi Liao: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Jiaojiao Chen: Department of Medical Imaging, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Lian Zhu: School of Health in Social Science, University of Edinburgh, Edinburgh, United Kingdom
Jing Huang: School of Nursing, Peking University, Beijing, China
Siyuan Yang: Department of Nursing, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
Xiuhua Huang: Surgery Intensive Care Unit, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
Yilan Zhang: Birth Room, Chengdu Women’s and Children’s Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China; Corresponding author.

Journal volume & issue: Vol. 11, no. 1
pp. 106 – 112

Abstract

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Objective: This study aimed to translate and evaluate the psychometric properties of the Perinatal Missed Care Survey in China. Methods: The Perinatal Missed Care Survey was translated according to the guidelines of the cross-cultural debugging scale recommended by the American Academy of Orthopaedic Surgeons Evidence-Based Medicine Committee, including forward translation, back translation, cultural adaption, and content validation, and its Chinese version was used in a cross-sectional study conducted from February to April in 2023. A total of 491 midwives from 14 different level hospitals in southwest China were recruited through a convenience sampling method. The discrimination ability of the items was tested through item analysis, and construct validity was assessed through exploratory factory and confirmatory factor analyses. The content validity index and Cronbach’s α coefficients evaluated content validity and reliability, respectively. Results: The Chinese version’s item–total correlation coefficients ranged from 0.641 to 0.866 in part A and from 0.644 to 0.819 in part B (P < 0.001). Parts A and B’s scale-level content validity indexes were 0.95, and the item-level content validity indexes were from 0.86 to 1.00. The three common factors of part A (necessary care, basic care, and postnatal care) and part B (communication, labor resources, and material resources) were extracted, accounting for 70.186% and 71.984% of the total variance, respectively. Confirmatory factor analysis indicated that the good fit of the three-factor models was acceptable. The Cronbach’s α coefficients were 0.968 (part A) and 0.940 (part B). Conclusion: The Chinese version of the Perinatal Missed Care Survey is a reliable and valid instrument for assessing nursing care missed by midwives during labor and birth and the reasons it was missed. Studies with large sample sizes are needed to verify the instrument’s applicability in China.

Published in International Journal of Nursing Sciences

ISSN: 2352-0132 (Online)
Publisher: Elsevier
Country of publisher: Singapore
LCC subjects: Medicine: Nursing
Website: http://www.journals.elsevier.com/international-journal-of-nursing-sciences/

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