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Evaluating the Quality of Life Before and After Intensive Care (Essay Sample)


the paper involved selecting a case study. the instructions stated that after selecting the case study, i should write a 1500 words paper analysing it. i was supposed to include an Introduction, Case Study Review, Connection of Case Study to Healthcare Quality and Outcomes, Future Considerations and a conclusion.


Healthcare Quality & Outcomes
Student’s name
Institution affiliation
Professor’s name
Due Date
Quality of Life Before and After Intensive Care
The author investigates how patient outcomes and quality of life may be measured. Medical providers' performance is being evaluated, and the research focuses on advancing the technology and methods utilized to do so. Quality management fundamentals like measurement, assessment, and improvement will be discussed in-depth in this program on quality control. The research looks at the history of quality management and various ways of making it better over time. In this course, students will learn about measuring health markers, statistical analysis, life-quality assessment, and other quality management principles and standards. Writers are drawn to the quality of life during and after critical care because it connects to their work. The writer is a social worker who works with persons who have suffered from traumatic brain injuries and are now partially disabled. Without any dependency on others for fundamental chores (such as washing and dressing), the writer can map out the life quality improvements that individuals may experience following intensive care.
This course gives writers new tools to use in their writing help strategy. The writer may utilize the quality of life measuring instrument to see how well each patient's care plan is working and how far they have come. A writer is a long-term care provider for persons with long-term impairments because of catastrophic sickness or accident.
Case Study Review.
According to the case study, patients' quality of life can be improved up to five years after leaving the critical care unit. Researchers selected the patients for this case study from hospitalized people to a specialized Scottish hospital. Patients hospitalized during the research represented 50% of the city and 50percent of the rural populations of Northern Ireland CITATION Tac20 \l 1033 (Tackmann, 2020). Patients hospitalized for one year had an average occupancy of 82 per cent, and the general critical care unit maintained a 16-bed section. In the opinion of doctors, patients who are likely to make it through intensive care unit therapy once their health has normalized will be chosen to take part in research studies. The demographics and critical care data of the patients who took part in the study were calculated using two industry-standard techniques.
For starters, you may measure health-related quality of life by referring to the SF-36 term. Because of its track record of dependability and efficacy, SF-36 is a popular choice for everyday use. SF-36 results were confirmed by phone with the two study nurses after receiving permission from the Boston Medical Product Trust in Massachusetts and the United States CITATION Wor20 \l 1033 (Worsham, 2020). Twenty patients who finished the SF-36 survey three, six, twelve, two and a half, and five years following admission to the critical care unit were interviewed over the phone by the nurse. To be clinically significant, an improvement in quality of life of five points is required on the common scoring system SF-36 for mental and physical components.
Another approach utilizes the European 5D Quality of Life Assessment Tool, which assesses health concerning the overall quality of life. To calculate these QALYs, researchers looked at estimates of life expectancy and quality of life, then summed them together to come up with a single number. The EQ-5D calculates life expectancy for the whole sample, including those who survived and passed away. The outcome is evaluated one year, two and a half years, and five years after admission to an extreme care unit. Data from a significant general sample of the UK population was used to estimate the EQ-5D success rates. A 4-point scale from very pleased to very dissatisfied was used to gauge patients' satisfaction with their life quality when taking the EQ -5D test.
Study Results.
A total of 423 patients in critical care were evaluated between May 2001 and April 2002. 300 of 423 patients evaluated, or 71% of the total, consented to engage in the research, whereas 123 individuals, or 29%, declined to participate. Nine patients died later, leaving a success rate of 97 per cent. After release, 52 patients died, and 46 were lost to follow-up. There were 56 fatalities and 63 lost data that needed further investigation after a six-month follow-up. In the twelve months after his liberation, 69 people had died, and 83 had gone missing. After 2.5 years after being discharged from the critical care unit, 83 fatalities had been documented, and 90 patients had been lost to follow-up. In the fifth year of life, 98 people die, and 103 are lost to follow-up. According to initial population statistics, the average number of people was 60.5 years old, the average remain in critical care was 6.7 days, and 41percent of the patients were women. A subsequent examination of the intensive care division revealed a 13 per cent readmission rate and a mean age of 60.5 years in the intensive care division. 3.7 per cent of patients died while they were still in the institution.

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