Review of the data
The data analyzed is selected from the hospital data, and it involves the readmission reduction initiative that is limited to a single hospital, readmission data and the patient admission are both complete as well as timely (Brown et al 2012). We selected only those patients that were discharged to a rehabilitation facility, long-term care hospitals, or nursing homes, ALF, and home. The study has used data collected from multiple hospitals in the community thus increasing the likelihood of a patient ending up in a different hospital for the readmission rather than for the initial admission. The process of care investigation is a technique used in the reviewing, and drawing conclusions of the data. The purpose of the study is to test the speed of the change, organize the change in the processes as well as testing and measuring parallel processes and practices. Also, educating the patient about their diagnosis throughout the hospital stay. In addition, it involves making the appointments for the clinician follow-up as well as the post-discharge testing, organizing for the post-discharge services like CHF, CAD, COPD, ESRD, and confirmation of the medication plan. The study involves the process of care investigation which concludes that the abundant evidence shows that improving methods of care for the patients with chronic diseases can reduce the avoidable hospitalizations. The aim of the hospital's readmission also includes an investigation to determine the main causes of its high readmission rate.
Type of data
The data is qualitative as it indicates the calculated mean of the patient age as 78 with a standard deviation of 7.3. It also shows the percentages of the participants by giving the percentage of gender as well as origin. For instance, it shows that the women who were diagnosed included 62.5%, 85.1% who were the Hispanic white (Armitage, Berry and Matthews, 2008).
Process for analyzing your data
The readmission team is responsible for implementing the action plan which involves aligning, prioritizing, coordinating the tests of change, and evaluating the progress as well as communicating with the senior leadership and executive sponsor. The speed of change depends on the organization of the hospital. The hospital`s staff should organize the change in processes, ability to commit resources as well as testing and measuring the parallel processes and practices. The process includes:
Educating the patient about her or his diagnosis throughout the hospital stay.
Keeping appointments for clinician follow-up and post-discharge testing: Coordinate appointments with physicians, testing. Also as the reason for and importance of physician appointments, and confirming that the patient knows where to go. Also, reviewing transportation options and other barriers to keeping these appointments.
Discussing with the patient any tests or studies that have been completed in the hospital and the personnel responsible for following up on the results.
Organizing the post-discharge services that is the Healthcare for the chronic conditions like CAD, CHF, COPD, ESRD and ensuring that the patients understand the importance of such services as well as making appointments so that the patients can be checked.
Confirming the medication plan. This is achieved by reconciling the discharge medication regimen with that followed before the hospitalization.
Reviewing the appropriate policies and procedures for what to do if a problem arises.
Expediting transmission of the discharge summary to the physicians like visiting nurses accepting responsibility for the patients care after discharge.
Plan to integrate the data into your change project The integration of data into the change project involves:
Ensuring healthy and no fragment discharge plan.
Communication by providing relevant information at the time of transition.
Ensuring adequate preparation of patients for discharge or self-management and sufficient medical follow-up with patients after discharge.
The hospital should ensure adequate and proper communication with caregivers or patients or both about medications, red flags and tests of a deteriorating health condition (Stone and Hoffman, 2010).
Armitage, P., Berry, G., & Matthews, J. N. S. (2008). Statistical methods in medical research. John Wiley & Sons.
Brown, R. S., Peikes, D., Peterson, G., Schore, J., & Razafindrakoto, C. M. (2012). Six features of Medicare coordinated care demonstration programs that cut hospital admissions of high-risk patients. Health Affairs, 31(6), 1156-1166.
Stone, J., & Hoffman, G. J. (2010). Medicare hospital readmissions: issues, policy options and PPACA. Congressional research service, 1-37.
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