The sample size was defined by using Power Analysis to determine the smallest sample size suitable for detecting the expected effect size of 0.3. The level of statistical significance P value was set at 0.05 an effect size of 80%, which indicated a sample size of 71 participants. In total, 114 patients responded to the survey. The data were analyzed through descriptive analysis, non-parametric tests, comparative statistics, and exploratory factor analysis (EFA). The level of significance was set at P 0.05. The background variables, respondents' ages, and acute pain in current time, were reclassified in the analysis phase. EFA was used to analyze the theoretical structure of variables measuring pain management. Based on the eigenvalue higher than one, the factor analysis resulted total of four factors. The cut-off points for removing a variable from a factor was septicity r < 0.3. According to the EFA, there were 23 observed pain variables constructed into four factors (later: mean sum variables): 'pharmacological pain management' (three items), 'non-pharmacological pain management' (six items), 'challenges in acute pain management' (five items) and 'patients' perceptions of professional competence' (five items)