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Updated: Jul 9, 2026
An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP
Published on: January 27, 2010
Enhancing Pain Assessment Among Post-Surgery Patients at a Tertiary Hospital in China: A Best Practice Implementation
Chengxiang Liu1,2, Sainan Li1,2, Juan Zhou1,2
1Author Affiliations: Department of Anesthesiology and Perioperative Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei City, Anhui Province, China (Mr Liu and Mrs Li, J. Zhou, R. Zhou, C. Zhu, S. Chen, and H. Chen); The Nanfang Nursing Centre for Evidence-based Practice: A JBI Centre of Excellence, Breast Center, Nanfang Hospital, Southern Medical University , Guangzhou City, Guangdong Province, China (Ms Zhao).
Background:
Postoperative pain is a common complication that can delay recovery and increase hospital stays and costs. Accurate pain assessments are essential for effective management.
Local Problem:
Compliance with evidence-based pain assessment protocols in the Anesthesia Intensive Care Unit (AICU) at a teaching hospital in Hefei, China, was suboptimal.
Methods:
This evidence-based implementation project, conducted from December 2023 to August 2024, utilized the Joanna Briggs Institute (JBI) Implementation Framework and Model of Evidence-Based Health Care. A baseline audit of 23 nurses and 50 patients was followed by a post-implementation audit. Data were analyzed using JBI's PACES software.
Interventions:
Educational programs and stakeholder focus groups were introduced to enhance compliance with pain assessment protocols.
Results:
Compliance with 3 audit criteria increased by 66% to 92% following the intervention.
Conclusions:
The project successfully enhanced compliance with evidence-based pain assessment, improving postoperative pain management in the AICU.
