Improving the Quality Of Care In Health Care Organizations Assignment Help
here are multiple factors involved in improving the quality of care in health care organizations. However, qualitative evaluation through statistical data seems authentic and inevitable for future decision-making in different health practices (Bing M; Abel RL; Pendergrass P; Sabharwal K; McCauley C; 2000). For instance, in acute patients, measuring the mortality rate through statistical data help to find out the significant factors of morbidity and mortality during hospital stay of patients. Measuring performance and comparing with other quality systems is critical; it is only possible through deep statistics.
In 2019, I started the study in my hospital to evaluate the effectiveness of passive chest physiotherapy in preventing ventilator-associated pneumonia in sepsis. It was a quasi-experimental study. My coworkers and I considered sixty intubated patients who were diagnosed with sepsis. This study aimed to observe most patients admitted to the medical intensive care unit after diagnosed sepsis. Unfortunately, the ratio of stay and deaths was increasing. As a data tool, we considered the APACHE II scale and CPIS. Furthermore, descriptive statistics, including mean and standard deviation, were taken for the patients’ age included in the study. Moreover, a paired-sample T-test was applied to assess chest physiotherapy pre- and post-effective effect of chest physiotherapy in ventilated sepsis patients (Nida Rizvi, SmFahad, et al., 2020).
Secondly, we considered different graphical presentations that represent the quality improvement in the critical care unit. According to this bar graph, a Total of sixty patients fulfilled inclusion criteria. APACHE II was measured during the first 24 hours in ICU stay for predicting mortality. Predicted mortality has been shown CPIS the primary outcome variable was measured before initiation of passive chest physiotherapy and after the tenth day of passive chest physiotherapy, which showed that chances of ventilator-associated pneumonia are 53.3 % before initiation of treatment while on tenth-day chances of ventilator-associated pneumonia was decreased to 3.3%.
Overall, quality treatment, the effectiveness of services is measured through statistical data and its implementation. Therefore, data analytics is necessary for the health care industry to assess different challenges and its solution.