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The Importance Of Pain Assessment

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Pain is a global marvel which has been rigorously contemplated and described from different points of view. However, this subject continues to bewilder health care experts and researchers from many disciplines. Moreover, Pain is a combination of different domains of responses, particularly; social, behavioral, physiologic, emotional, psychological that may influence the person’s pain fortitude. Many components could influence the pain experience, manifestation and cause a dilemma for healthcare workers and researchers who will try to gauge the pain response. It is understood that expertise in pain assessment would result in an improved pain management (Flaskerud, J.H., 2015).
The Joint Commission on Accreditation of Healthcare Organizations …show more content…
The NRS has three categories, namely - Mild which is between (1-3), Moderate which is between (4-6) and Severe which is between (7-10) (Krebs,Carey,&Weinberger,2007;Mularski et al.,2006). But in some instances have been reported that this scale has been easily abused in emergency departments by patients seeking narcotic medicines. Numerous studies have been done on the effect of cultural influences on pain assessment and it has been identified that patients hailing from racial and ethnic minority groups do not receive adequate pain management as compared to the non-minority population. The disparities in pain management among the racial and minority groups are primarily due to the differences pertaining to ethnic differences in pain management, patient/health care provider communication, behaviors, medical decision-making by the patient and clinicians/doctors. ( Purdue Pharma, …show more content…
A chi – square test will be used to assess the association between qualitative or categorical variables. Quantitative variables means between the two and more than two independent groups will be analyzed using unpaired ‘t’ test and one way analysis of variance (ANOVA). Mann Whitney U test and Kruskal Wallis test will be sued for non-normal data. And, where an overall group difference found statistically significant, pairwise comparisons will be made using appropriate post-hoc test. Relationship between two quantitative variables will be examined using Pearson’s correlation coefficient. All the results will be reported and presented along with their corresponding 95% confidence limits. In case assumptions of parametric test didn’t get fulfill than the corresponding non-parametric test will be applied. The key results will be pictorially represented using a statistical graph. A two-sided P value s quality of care by identifying the effects of culture on pain assessment and management at

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