Global Health & Medicine
Online ISSN : 2434-9194
Print ISSN : 2434-9186
Original Article
Construction of a risk index system for the prediction of chronic post-surgical pain after video-assisted thoracic surgery for lung resection: A modified Delphi study
Zhimin GuoFei ZhongHaihua Shu
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2023 Volume 5 Issue 4 Pages 229-237


In the present study, several research methods were adopted, including literature retrieval, theoretical analysis, and qualitative research, and then the draft of the prognostic factors for the chronic post-surgical pain (CPSP) index system after video-assisted thoracoscopic surgery (VATS) for lung resection was constructed. A Delphi survey was used for the study of 24 experts in the field of pain from three different grade-A tertiary hospitals in Guangzhou, China. In the two rounds of survey, the experts rated these indicators for the importance and feasibility of measurement (round 1, n = 21 participants; round 2, n = 20). Finally, we calculated Kendall's W index as a measure of consensus. A general consensus was reached on predicting CPSP after VATS, consisting of 10 first-level domains and 64 second-level indicators, involving biological, psychological and social perspectives. This study provides a comprehensive draft of risk factors developed and identified by experts to inform research-based evidence on chronic pain. Increased clinical awareness and a full understanding of how to screen and identify people with CPSP problems may lead to earlier recognition of chronic pain and greater facilitation of professional prevention.

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© 2023 National Center for Global Health and Medicine
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