Yang Jin-Xia, Liu Yue, Yu Zhen, Zhang Fang, Yao Wen-Ying, Wang Guo-Ying, Ai Zi-Sheng
Basic Medical Science, Tongji University School of Medicine, Shanghai, China.
Department of Nursing, Children's Hospital of Soochow University, Suzhou, China.
Nurs Open. 2025 Mar;12(3):e70167. doi: 10.1002/nop2.70167.
To construct an evidence ecosystem-based postoperative pain management programme for children with postoperative pain management.
A mixed research design that combines qualitative and quantitative studies.
According to the literature search and analysis, the postoperative pain management programme for children was constructed from three aspects: assessment of pain intensity of children, management principles and management methods, and the preliminary draft of the programme was finally constructed to include three first-level entries and 11 second-level entries. In January-February 2023, the first draft of the postoperative pain management programme for children was developed based on a literature review using the ecosystem of evidence theory as the research framework; in March-April 2023, the postoperative pain management programme for children was revised and finalised through two rounds of Delphi expert consultation.
In the second round of expert consultation, the return rate of valid questionnaires was 100%, the expert authority coefficient was 0.83, the importance scores and feasibility scores of each entry were > 3.5, the coefficients of variation were < 0.25, the Kendall's harmony coefficients of the importance scores of the entries were 0.650 (χ = 273.134, p < 0.001) and those of the feasibility scores were 0.649 (χ = 272.720, p < 0.001). The resulting postoperative pain management programme for the affected patients included three level 1, 11 level 2 and eight level 3 entries.
The postoperative pain management programme for children constructed based on the evidence ecosystem is practical and scientific, but its effectiveness in clinical practice needs to be further verified by a controlled study design.
Evidence ecosystem; paediatrics, surgery; pain; Delphi method.
构建基于证据生态系统的儿童术后疼痛管理方案。
一种结合定性和定量研究的混合研究设计。
通过文献检索与分析,从儿童疼痛强度评估、管理原则与管理方法三个方面构建儿童术后疼痛管理方案,最终形成方案初稿,包含3个一级条目和11个二级条目。2023年1月至2月,以证据生态系统理论为研究框架,基于文献综述制定儿童术后疼痛管理方案初稿;2023年3月至4月,通过两轮德尔菲专家咨询对儿童术后疼痛管理方案进行修订和完善。
第二轮专家咨询中,有效问卷回收率为100%,专家权威系数为0.83,各条目的重要性得分和可行性得分均>3.5,变异系数<0.25,各条目重要性得分的肯德尔和谐系数为0.650(χ=273.134,p<0.001),可行性得分的肯德尔和谐系数为0.649(χ=272.720,p<0.001)。最终形成的针对患儿的术后疼痛管理方案包括3个一级条目、11个二级条目和8个三级条目。
基于证据生态系统构建的儿童术后疼痛管理方案具有实用性和科学性,但其在临床实践中的有效性有待通过对照研究设计进一步验证。
证据生态系统;儿科学,外科学;疼痛;德尔菲法。