SAS version 9.4 M3 for Windows was used to dispose the database and identify target patients. IBM SPSS Statistics version 19 was used for data analysis, and EXCEL version 2016 was used to draw statistical charts and tables. Unordered categorical data are described as numbers and proportions, and χ2-tests were used to compare distributions between re-hospitalised inpatients and other burn inpatients. Continuous variables are presented as medians and interquartile ranges, and the Mann–Whitney U test was used to analyse ordinal categorical data and continuous variables violating normal distribution. Univariate regression analyses were used to determine potential predictors of scar contracture-associated re-hospitalisation among burn inpatients, and crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to statistically understand the strength of the associations between predictors and the primary outcome measure. P < 0.05 was considered statistically significant.

Note: The content above has been extracted from a research article, so it may not display correctly.



Q&A
Please log in to submit your questions online.
Your question will be posted on the Bio-101 website. We will send your questions to the authors of this protocol and Bio-protocol community members who are experienced with this method. you will be informed using the email address associated with your Bio-protocol account.



We use cookies on this site to enhance your user experience. By using our website, you are agreeing to allow the storage of cookies on your computer.