ABSTRACT
BACKGROUND: Effective pain management is closely related to the prognosis of patients after surgery. Setting up acute pain service is among the effective strategies to control pain. The operation of acute pain service is mostly dominated by anesthesiologists; however, control of postsurgical pain is still unsatisfactory. Nurses are the main force for providing postoperative care of patients, and their role in acute pain service is crucial. Therefore, in the current study, we have developed a nurse-led pain relief model that emphasizes the central role of nurses during the entire surgical procedure. However, the effect of using this model for pain management among abdominal surgical patients remains unknown. AIMS: The current study was conducted to investigate the effect of using a nurse-led pain relief model for pain management among abdominal surgical patients. DESIGN: A single-center, propensity score-matched, controlled before-after study. METHODS: The patients, hospitalized for abdominal surgery in a university-affiliated hospital from January 2015 to December 2017, were enrolled and divided into group A (hospitalized before nurse-led pain relief model implementation, from January, 2015 to October, 2016) and group B (hospitalized after nurse-led pain relief model implementation, from October, 2016, to December, 2017) using propensity score match assay. The researchers compared the quality of acute pain management, the main side effects of pain management, and nurses' pain knowledge and attitude between group A and group B. RESULTS: A total of 2851 patients undergoing nonemergency abdominal surgery were enrolled in the current study and were propensity matched 1:1 into two groups with 1,127 subjects in each group. The quality of acute pain management postsurgery was better after implementation of the nurse-led pain relief model. More patients received higher numerical rating scales cores (≥4 points) at indicated time points after surgery in group A compared with group B (14.20% vs. 12.24% 6 hours postsurgery, p = .001; 12.33% vs. 8.52% 12 hours postsurgery, p = .004; 12.95% vs. 3.99% 24 hours postsurgery, p = .036; 16.06% vs. 7.19% 48 hours postsurgery, p = .001). Furthermore, the occurrence of nausea and vomiting during pain management were significantly decreased in patients from group B (nausea: X2 = 38.926, p < .05; vomit: X2 = 39.302, p < .05). Additionally, after using the nurse-led pain relief model, nurses were more open to improving their knowledge and attitudes to pain management (p < .05). CONCLUSION: Our study demonstrated that a nurse-led pain relief model can enhance the quality of acute pain management among post-abdominal surgical patients, suggesting that such a model can be an effective intervention for providing a better pain control among postsurgical patients.
Subject(s)
Nurse's Role , Pain Management , Controlled Before-After Studies , Humans , Pain Measurement , Pain, Postoperative/drug therapyABSTRACT
Optimal pain management is a priority in effective nursing care. Lack of sufficient pain knowledge associated with inadequate pain management has been proved. However, the intention, defined as the predictor of behavior, regarding pain management remains unknown. Therefore, the study was to determine the attitude and intention regarding pain management among Chinese nursing students and investigate the underlying determinants and their interactions in terms of intention toward pain management. The Pain Management Survey Questionnaire, comprising the key determinants of the theory of planned behavior-that is, direct attitude, belief-based intention, subjective norm, direct control, and indirect control-was used to collect data from 512 nursing students who undertook clinical rotation in an affiliated hospital of a medical college in China. Data were analyzed using descriptive statistics, independent sample t test, Pearson correlation analysis, or structural equation modeling analysis. Chinese nursing students reported negative attitudes and behavioral intentions toward pain management. Direct control, subjective norm, belief-based attitude, and indirect control independently predicted nursing students' intention to treat patients with pain. Direct control was the strongest predictor. Structural equation modeling analysis further revealed 39.84% of the variance associated with intention that could be explained by determinants of the theory of planned behavior. Additionally, educational school level and previous pain management training had great effects on pain management intention. Overall, this study identified intention as an important factor in effective pain treatment. Chinese nursing students have negative attitudes and insufficient intention to pain management. Therefore, hospitals and universities in China should manage these factors to improve nursing students' practice regarding pain management.