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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Cai, Jiaqin Huang, Shiyi Jiang, Yueyi Zhou, Yihu Zhang, Lin Gu, Lianbing Tan, Jing |
| Abstract | Background Inadequate postoperative analgesia greatly affects the recovery of patients, can poses a substantial health and economic burden. Patient-controlled analgesia is the most commonly used method for postoperative pain relief. However, the situation of inadequate analgesia still exists. Artificial intelligent Patient-controlled analgesia (Ai-PCA) system can make it easier for medical staff to understand the pain level of patients in order to deal with it in time. So far, several studies have investigated anesthesiologists’ knowledge and management of Ai-PCA. Objective This study aimed to assess the degree of anesthesiologists’ knowledge, attitude and their practice (KAP) towards Ai-PCA in east China’s Jiangsu Province. Methods This cross-sectional study was conducted among 396 anesthesiologists working in tertiary hospitals. The data were collected using a pretested, structured and self-administered KAP questionnaire. The data were analyzed using Independent t-test, analysis of variance, Pearson’s correlation and multiple linear regression tests. Results Five hundred twelve questionnaires were collected, 396 anesthesiologists (190 Male, and 206 Female) were included in our study for statistical analysis. The score of knowledge, attitude, practice was 5.49 ((SD = 1.65; range:0–8), 37.45 (SD = 4.46; range:9–45), and 26.41 (SD = 9.61; range:9–45), respectively. Among the participants, 309 (78%) and 264 (66.7%) had good knowledge and positive attitudes toward Ai-PCA, respectively. However, only 81 (20.5%) of the participants exhibited good practice regarding Ai-PCA. Participation in Ai-PCA training showed a significant correlation with knowledge, attitude and practice scores. Besides, age, years of experience and professional titles of anesthesiologists were correlated with knowledge scores. The title of the anesthesiologist was associated with attitude scores. And the marital status of anesthesiologists was correlated with practice scores. Conclusion Our findings revealed the score of practice regarding Ai-PCA are very poor among anesthesiologists in east China’s Jiangsu Province. The utilization of Ai-PCA was found to be impacted by whether the individual had received training. This calls for a comprehensive approach should be conducted for raising the level of knowledge, attitude, and practice of anesthesiologist on using Ai-PCA and more Ai-PCA training to be included in the daily learning. Trial registration Chinese Clinical Trial Registry ( www.chictr.org.cn ; 27/10/2023; ChiCTR2300077070). |
| Related Links | https://bmcanesthesiol.biomedcentral.com/counter/pdf/10.1186/s12871-024-02724-1.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712253 |
| DOI | 10.1186/s12871-024-02724-1 |
| Journal | BMC Anesthesiology |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-09-20 |
| Access Restriction | Open |
| Subject Keyword | Anesthesiology Internal Medicine Emergency Medicine Intensive Critical Care Medicine Ai-PCA Knowledge Attitude Practice Anesthesiologists |
| Content Type | Text |
| Resource Type | Article |
| Subject | Anesthesiology and Pain Medicine |
| Journal Impact Factor | 2.3/2023 |
| 5-Year Journal Impact Factor | 2.6/2023 |
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