Measuring the Effect of Dimensional Analysis on Nurses' Level of Self-Efficacy in Medication Calculation Errors

Abstract

Aims of The Study: The main aim of this study is to improve the calculation of medicines in nurses and develop a master plan for drug calculation competencies which will be yearly renewable. Objective: To evaluate the effects of dimensional analysis on the self-efficacy levels of nurses, specifically regards to their medication calculation abilities. Methodology: Quasi experimental study design was used in this study. This quasi-experimental study was conducted at the teaching hospital of the University of Lahore. It is a tertiary care hospital with 450-bedded capacities where almost 113 registered nurses are performing their duties in different shifts. Results: the frequency and classification of gender, in which male were 22% and female were 78%, the classification of age in which 21- 25 years old participants were 12.45%, some participants age between 26-30 years were 28.3%, participants of 31-35 years were 37.2%, the participants whose age were 36-40 years were 15% and above 40 years participants age were 701%. Classification of education in which 16.8% participants were General Nurse, 36.3% participants were Post RN and 46.9% participants were Generic BSN. The classification of Designation also discusses such as, 47.8% participants were charge nurses, 32.7% were Shift In charge and 19.5% were unit In charge. Conclusion: This study focusses to enhance the mathematical skills of the nurses and minimize the calculation errors of nurses during medication which is a challenging issue among nurses. This study is to extend focus on improving nurse’s medication calculation accuracy. To accomplish the stated purpose, a single intervention dimensional analysis was used which provide a situation for health-care improvement and to find techniques for improving the rate of medication errors. Statistically 39.86% difference recorded in pre-and post-intervention data. Keywords: Self Efficacy, Dimensional Analysis, medication calculation, mathematical calculation confidence level