The data presented was in a prospective study that was conducted on patients that were discharged from the Hospital about the treatments of Cardiovascular Surgery, Cardiology, and Gastronomy services during from the month of April through to September in Cleveland Clinic Hospital where they had to understand the concept of 30 days Hospital Readmission. During the study, the numbers of hospital discharges were 5,349 whereas the number of patients that were discharged was 1,630, which made up 30.7% hospital discharges (Li, Goodman & Guttmann, 2016). Moreover, 149 patients that were discharged during the study were readmitted which was an indication of 9.1% of the case studies.
Review of Results
The percentages of readmission during the studies in the months of the survey were the same even in the literature associated with the investigation. Furthermore, the number of individuals that were readmitted was later divided into four different categories and subsets of the differences that could be seen on them. The first group represented the patients that had complications during their previous admission, which constituted 16.8%. The second category described the patients that had a recurrence of the disease process where this number was 11.4%. The other category, which had the highest number of cases, was the individuals who had planned treatment and represented 53% of the readmission (Li, Goodman & Guttmann, 2016). The final group described the cases with the new diagnosis and was represented by 16.1% of the readmission cases. The findings delineated that the studies on readmission rates without categorizing the groups would be misleading whereby the results would be inappropriate in cases related to initiating quality medical care that is administered in acute care hospitals. At the same time, the recommendations also included the application of the concept of subdividing the patients into the four groups during future references and studies.
The patients always find it disturbing if they have to leave hospital then find that they have to be readmitted as a majority of them who want the ideology being readmitted to be the last thing on their mind. However, numerous Medicare patients that are discharged from the inpatient care find themselves returning for readmission within 30 days. There are cases of readmission that are planned by the caregivers while others might be part of the treatment for specific conditions about the natural course of therapy (Shah, Lertwachara & Ayanso, 2010). Furthermore, some of the cases that are reported for readmission are said to be those that could have been avoided which is as a result of missed opportunity and inadequate care during the coordination of the care. The illustration of different cases that had cases of readmission can be seen below:
In understanding the different cases on readmission, one would notice that up to two third of the beneficiaries of the Medicare that have been readmitted find themselves being readmitted or eventually die within one year after being hospitalized. According to the data collected, the evidence indicated that there was a gap between the percentage of potential avoidance and readmission would widen if the number of days increases (Wong, et al., 2010). The concept suggests that it would be essential to ensure that readmission is avoided where the medical caregivers should be in a position to target discharge planning about the time immediately after an individual is discharged.
The level of the patient about the disease would also influence readmission of the patient. For instance, there are certain diseases that are common with readmission and would also be affected by medical care coverage and race. One of the conditions that have numerous cases of readmission is the conditions that are related to heart failure. One of the studies stipulates that 29 to 47 percent of the adults with cases of heart failure find themselves being readmitted within a period of three to six months after being discharged (Wong, et al., 2010). Furthermore, the study also indicated that race might also influence the pattern in which individuals are readmitted in hospitals. For example, within the African American, people who experience a stroke, asthma or diabetes are like to be readmitted within three to six moths. In other cases, patients with the end-stage renal disease have an average readmission rates compared to other diseases.
Readmission rate cases might also be influenced by the difference in the hospital, setting, geographic region or state. At the same time, the medical care fraternity might control the case mix and severity in the hospital yet different hospitals would have different rates of readmission across hospitals. The study being analyzed also indicated that that research was conducted in hospitals from the various states such as New Haven (Simpao, et al., 2014). Conn and Boston were different results obtained. In the results, differences were evident as the readmission rate was higher in Boston as compared to Haven. The difference in readmission would also be seen regarding medical condition, sex, age, and race. At the same time, the research also indicated that the hospital bed supply also influenced the manner in which a physician might decide initiating a readmission case.
The studies also stated that the claims related to hospital readmission are a pervasive problem that interferes with the providers, payers, and patients. It is essential to ensure that the rates of readmission are lowered, and it requires the participation of all the stakeholders involved. The interventions should not be generalized though the EMRs should ensure that there is improved communication and hand-offs between the outpatients and inpatients providers with the aim of reducing the readmission rates in hospitals (Shah, Lertwachara & Ayanso, 2010). Moreover, the Medicare population should ensure that they decrease the rates of avoidable readmission cases by looking at the fundamental structures associated with better care services.
Therefore, the medical care departments should initiate and support more collection of data and information which might be applicable in coming up with solutions to the scope of the problem. The same applies to the private and public-private payers who should combine the results from different data to attain a wider perspective of understanding the correct initiative that might apply to other populations such as Medicare Advantage beneficiaries. Additionally, the application of the best practices is applicable in ensuring that the accurate information is used in accomplishing the goals of reducing the number of readmission cases (Carrington & Stewart, 2010). The physicians will also have an easy time if they embark on reducing the readmission cases as they would be empowered to offer the best and quality health care since they would not have to deal with systematic bulwarks.
In conclusion, the stakeholders who would challenge the application of proper care by the medical practitioners should initiate the reduction of the readmission cases in hospitals within the fragment of a particular healthcare system. Proper application of the best system should include improving the relationship between the providers and workforce within the hospitals.
Carrington, M. J., & Stewart, S. (January 01, 2010). Bridging the gap in heart failure prevention: rationale and design of the Nurse-led Intervention for Less Chronic Heart Failure (NIL-CHF) Study.European Journal of Heart Failure, 12, 1, 82-88.
Li, P. T. S., Goodman, D. C., & Guttmann, A. (January 01, 2016). Medical Practice Variations in Pediatric Care.
Shah, G. H., Lertwachara, K. H., &Ayanso, A. H. (January 01, 2010). New Technology and Implications for Healthcare and Public Health.
Simpao, A. F., Ahumada, L. M., Galvez, J. A., &Rehman, M. A. (April 01, 2014). Review of Analytics and Clinical Informatics in Health Care.Journal of Medical Systems, 38, 4, 1-7.
Wong, F. K. Y., Chan, M. F., Chow, S., Chang, K., Chung, L., Lee, W., & Lee, R. (December 01, 2010). What accounts for hospital readmission?.Journal of Clinical Nursing, 19, 3334-3346.
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