Pain treatment of surgical patients is still a deficient area, even if there are evidence-based possibilities of pain management. The aim of this study is to identify patients with a higher risk of severe postoperative pain at an early stage and improve nurses' pain management by identifying pain predictors whilst including them in analgesic treatment. In addition to the identification of predictors by a literature review, a cross-sectional study with 84 surgical patients of a convenience sample was undertaken to find possible predictors. The enquiry was conducted by means of a questionnaire which the patient had to fill in prior surgery. The intensity of pain was surveyed in a personal interview on the first post-operative day. Correlation analysis was applied to verify the statistical significance of patient characteristics as well as surgical variables. Out of the 14 variables preoperative pain was found to increase the risk of postoperative pain. Comparison with other studies showed inconsistent results for pain predictors, and therefore nursing pain management based on pain predictors seems questionable.

Download full-text PDF

Source
http://dx.doi.org/10.1024/1012-5302/a000107DOI Listing

Publication Analysis

Top Keywords

pain
13
postoperative pain
12
pain management
12
pain predictors
12
surgical patients
8
predictors
5
[prediction postoperative
4
pain beneficial
4
beneficial perioperative
4
perioperative pain
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!