Mac os x

All analyses were composed of descriptive and inferential statistics for the PSQ. Data were collected and stored electronically in a spreadsheet for a spreadsheet using the Statistical Package for the Social Sciences (SPSS) 25, MacOS-X. The central tendency of continuous measures was represented using frequencies, percentages, means, and the variability with standard deviations as well as the range of each variable. All categorical variables were represented with percentages along with the actual counts so that missing measures are apparent in Tables 1 to 5. To detect possible differences between host and refugee communities subsample analyses, it is indented to use either independent t-tests or a nonparametric test, the Mann-Whitney U test.

Data were entered into Epidata (version 3.1, Odense, Denmark). The statistical analysis was performed using statistical analysis software SPSS package version 23.0 for Mac OS X (SPSS Inc., Chicago, IL). A descriptive statistic was used to present the characteristics of the patients and the prevalence rates FGIDs after diagnosis modification. Continuous variables were expressed as means ± standard deviations. Chi-squared, nonparametric and Student's t-test were performed to compare categorical and continuous variables between groups. Univariate and multiple logistic regression were used to identify risk factors associated with the development of FGIDs (such as demographic characteristics, social- economic factors, adverse events exposure). Odds ratio (OR) estimates and 95% confidence interval of OR, as well as the P-values of the Wald chi-square test for each risk factor were provided. A P < 0.05 was considered statistically significant. Multiple logistic regression was performed on variables that were found to have significant associations.

The statistical analysis was performed using statistical analysis software SPSS package version 23.0 for Mac OS X (SPSS Inc). Continuous variables were expressed as means ± standard deviations. Positive percentages in male and female patients and positive percentages among different age groups or different season groups were analyzed with the chi‐square test. A P‐value <.05 was considered to be statistically significant.

Prior to the analysis, assumptions of normality (values of skewness and kurtosis), outliers and sphericity were assessed. In the first step, descriptive and inferential statistics for the Patient Satisfaction Questionnaire (PSQ) were calculated. Next, the central tendency of continuous measures was calculated and displayed by frequencies, percentages, means, standard deviations and range of variables. For all categorical variables and subscale items, percentages and actual counts are presented to illustrate missing measures. To examine the possible difference between three patient groups (host-, the Syrian refugee community, and internally displaced people [IDP]), subsample analyses will be performed using non-parametric Kruskal–Wallis one-way analysis of variance tests. All collected data was collected and stored in a spreadsheet using the Statistical Package for the Social Science (SPSS) 25, MacOS-X. Statistical analyses will be set at an exploratory significance level of p < .5.

Data analyzed included organization name, organization number of procedures per year, organization number of procedures in the decade 2008-2018, year, mortality rate and hospital length of stay. Mortality in this database refers exclusively to in-hospital mortality, and there is no information about 30- or 90-day-mortality.
Unfortunately, there is no information available in this database about gender, age, comorbidities, complications, stage, oncological outcomes or other clinical data.
We determined hospital volume according to the number of procedures performed between 2008-2018 and divided into four categories: large volume (more than six RC per year); moderate volume (two to six RC per year); low volume (one to two RC per year) and very low volume (less than one RC per year).
We could not use more conventional criteria (such as 30 RC per year) as large volume, because none of our organizations had this volume of surgeries.
Statistical analysis was performed using (SPSS), version 13.0 for Mac OS X (SPSS, Inc., Chicago, Illinois). Groups were compared with Pearson's χ² test and analysis of variance (Anova). Statistical significance was determined at p<0.05.