Posted: December 3rd, 2022

Measures of Effect in Nursing Practice

Measures of Effect in Nursing Practice
Introduction
The linkage between diseases, causes, and occurrence helps the clinicians to make decisions that will improve the quality of care. Nurses should apply measures of effect to improve the response to diverse health issues and prevention measures. Research shows that risk factors of blood pressure and stroke are important in epidemiological and clinical research (Tripepi et al. 2010). Nurses have a responsibility to acquire data to understand the occurrence of diseases and develop appropriate response measures. The purpose of the essay is to examine the role of measures of effect in nursing practice.
Measures of Effect
Measures of effect are important in improving the quality of nursing practice. The purpose is to strengthen the link between exposure and outcomes. The linkage helps the clinicians to make decisions that will improve the quality of care. The information improves understanding of the occurrence of diseases and health promotion strategies. For example, according to Tripepi et al. (2010), studying risk factors of blood pressure and stroke is important in epidemiological and clinical research. Another study on end-stage renal disease and cardiovascular disease helps nurses to understand the risk of occurrence and the level of norepinephrine (Tripepi et al. 2010). The information about the occurrence and the risk factors helps the practitioners to make better decisions in providing care to patients.
Nurses understand the need to analyze the odds of a certain health issue. Understanding the odds of a certain disease helps healthcare workers to improve their response to a disease. Responding to a disease improves the prevention and recovery mechanisms. For example, according to Tripepi et al. (2010), children with chronic renal failure are at risk of eccentric left ventricular hypertrophy. Exposure to chemicals leads to higher incidences of cancer. Tripepi et al. (2010), argues that nurses can benefit from information about the measures of effect. The information improves the response to the causes of healthcare issues and the rate of occurrence.
Dangers of Not Using Measures of Effect
Nurses who do not use measures of effect have little information about the causes, occurrence, and odds of disease. Failure to understand the information undermines the measures that healthcare workers can take to control diseases (Leitinger et al., 2019). For example, if a nurse does not understand the relationship between smoking and cancer, or the effect of poverty on poor health, they cannot respond appropriately. Nurses require information about the occurrence of diseases to ensure they take quality measures to control the outcomes (Kraemer et al., 2020). For example, educating patients about the risk of smoking can reduce the occurrence of throat cancer or cardiovascular conditions. Healthcare workers should understand the measures of effect to determine the places they should deploy their resources and knowledge (Topaz & Pruinelli, 2017). Rural areas need responses different from urban areas. Nursing practice improves with the knowledge about measures of effect.
Conclusion
Nurses have a role to understand the occurrence of diseases and the causes. The information helps the nurses to adequately respond to healthcare issues. Responding to the causes is crucial in eliminating adverse health outcomes. Nurses require information about the occurrence of diseases to ensure they take quality measures to control the outcomes. The danger of not using the measures of effect in nursing is undermining the measures that healthcare workers can take to control the disease.

References
Kraemer, M. U., Yang, C. H., Gutierrez, B., Wu, C. H., Klein, B., Pigott, D. M., … & Scarpino, S. V. (2020). The effect of human mobility and control measures on the COVID-19 epidemic in China. Science, 368(6490), 493-497.
Leitinger, M., Trinka, E., Giovannini, G., Zimmermann, G., Florea, C., Rohracher, A., … & Siebert, U. (2019). Epidemiology of status epilepticus in adults: a population‐based study on incidence, causes, and outcomes. Epilepsia, 60(1), 53-62.
Topaz, M., & Pruinelli, L. (2017). Big data and nursing: implications for the future. Stud Health Technol Inform, 232, 165-171.
Tripepi, G., Jager, K. J., Dekker, F. W., & Zoccali, C. (2010). Measures of effect in epidemiological research. Nephron Clinical Practice, 115(2), 91-93.

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