Spss for windows version 16.0 chicago

This is a retrospective study, of patients presenting with near-hanging to the adult ED of a Medical College Hospital, which is a 45-bed department in South India with an average of 200 admissions daily. All patients more than 15-year-old presenting with near-hanging from August 2014 to August 2016 were included in the study. The patients were identified using the triage register of the ED. A retrospective chart review was performed on all the above-said patients using the hospital's electronic medical database. The following was extracted demographics, age, sex, date of admission, type of material used, complications such as low GCS, discharge status, and duration of admission.
Statistical analysis was performed using (SPSS for Windows, Version 16.0. Chicago, SPSS Inc). Mean (standard deviation) were calculated for the continuous variables. The categorical variables were expressed in proportion and Chi-square test or Fisher's exact test was used to compare dichotomous variables. For all tests, a two-sided P = 0.05 or less was considered statistically significant.
This study was approved by the Institutional Review Board and patient confidentiality was maintained using unique identifiers and by password protected data entry software with restricted users.

Sample size calculation was based on morphine consumption results from our previous study.[11 (link)] Assuming a level of significance of 5% and a power of 0.80, a minimum of 26 patients per group were required to detect a 30% reduction of morphine consumption. Due to a switch in our hospital protocol from morphine to piritramide, we accepted this because there is almost equipotency for these two drugs. It was also verified that this group size would suffice to detect a 5° improvement in knee flexion during physical therapy. To compensate for dropouts, 30 patients were included in each group. SPSS for Windows Version (16.0) Chicago: SPSS Inc. software was used for statistical analysis. The data were tested for a normal distribution with the one-sample Kolmogorov–Smirnov test. For comparing means of the primary endpoint results, an unpaired Student's t-test was used. The Chi-square test was used to detect differences in the incidence of medication side effects (number of nauseated or vomiting patients, dizziness, etc.). Data are presented as means and standard deviation or as numbers and frequency. P < 0.05 was considered significant.