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Resident Duty Reform Impact on Hospital Readmission Rates Among Medicare Beneficiaries. Article Summary Annotated Bibliography

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Updated: May 14th, 2022

The article analyzes the treatment of patients and the bettering of care. A study was produced to examine the results received. There were 8,282,802 patients studied in 3,321 hospitals. Patients were monitored for 30 days, looking back, in order to detect any readmissions. People were randomly selected and in case they were admitted to another hospital, the reasons for readmission would be noted. The study also looked at mortality rates 30 days after the patient was released from the hospital. The results have shown that readmission rates stayed the same, without an increase or decline in numbers. This is the first study of such sort and more should be done to see specific details (Press, 2010).

The Clock Is Ticking On Readmission Penalties

The article looks at why people are readmitted and addresses three issues that should be improved. One of them pertains to patient education about warning signs and the significance of a call to the doctor or physician. The second one looks at the care that must be bettered and more efficiently organized after the patient is released. And the third is the discharge itself and the plans that organize its carrying out. Usually, readmission can be avoided and so, reasons are examined for such occurrences. The organization and action plans for hospitals are outlined to decrease readmissions. Better control and strategies are mentioned (Aspenson & Hazaray, 2012).

Predictors of readmission and health related quality of life in patients with chronic heart failure: a comparison of different psychosocial aspects

Article discusses the relationship between heart problems and psychological issues like depression, anxiety, personality disorder and other. Heart related mortality rates are high and there has been evidence that links psychological health of a person to their physical body. Previous studies were limited in the amount of psychological disorders that they focused on. This study was done with 111 patients who had systolic and diastolic heart failure. The variables in the demographics included sex, age and education. Questionnaires used the rating system to determine depression and anxiety levels. The results showed a 26.1% elevation in the anxiety and depression scores relating to hear problems (Volz, 2011).

Development of a Method to Risk Stratify Patients with Heart Failure for 30-Day Readmission Using Implantable Device Diagnostics

The study is directed to determine and evaluate the diagnostic data after heart failure and examine the risks at early readmission. Post release period for patients with heart failure is identified as most vulnerable time period. After the information related to the reasons of heart failure was collected, it was analyzed within 7 days of release. The parameters were looked at, to point out the criteria that lead to heart failure. The study used 1,561 patients and consisted of 4 studies. The devices to look for reasons of heart failure at discharge were useful in the identification of risk patients, within the 30 days of the release (Whellan, 2013).

Fluid Overload: Identifying and Managing Heart Failure Patients at Risk for Hospital Readmission

The article determines the reasons for patient heart failure admittance, as well as looks at ways of how to reduce the numbers of people admitted. Fluid overload is unique to each patient and thus, must be carefully detailed. Certain criteria and parameters must be outlined for nurses for better history of medical problems and physical assessment. The patient is another person who must be shown how to do the monitoring themselves, with clear guidelines and goals in the reach for stability. The use of multidisciplinary team is very helpful, as it increases the scope of diagnostics and treatment but also approach towards patients. The focus is on older adults and the reasons for their delay in seeking medical attention or advice on how to deal with the issue (Coviello & Chyun, 2012).

References

Aspenson, M., & Hazaray, S. (2012). “The Clock Is Ticking On Readmission Penalties.” Healthcare Financial Management, 66(7), 58-63.

Coviello, J., & Chyun D. (2012). “Fluid Overload: Identifying and Managing Heart Failure Patients at Risk for Hospital Readmission.” American Association of Colleges of Nursing, 26, 595-14.

Press, M. (2010). “The Impact of Resident Duty Reform on Hospital Readmission Rates Among Medicare Beneficiaries.” Department of Public Health and Department of Medicine, 24(6), 405–11.

Volz, A. (2011). “Predictors of readmission and health related quality of life in patients with chronic heart failure: a comparison of different psychosocial aspects.” Behavioral Medicine, 34, 13–22.

Whellan, D. (2013). “Development of a Method to Risk Stratify Patients With Heart Failure for 30-Day Readmission Using Implantable Device Diagnostics.” The American Journal of Cardiology, 111, 79-84.

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IvyPanda. "Resident Duty Reform Impact on Hospital Readmission Rates Among Medicare Beneficiaries. Article Summary." May 14, 2022. https://ivypanda.com/essays/resident-duty-reform-impact-on-hospital-readmission-rates-among-medicare-beneficiaries-article-summary/.

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IvyPanda. 2022. "Resident Duty Reform Impact on Hospital Readmission Rates Among Medicare Beneficiaries. Article Summary." May 14, 2022. https://ivypanda.com/essays/resident-duty-reform-impact-on-hospital-readmission-rates-among-medicare-beneficiaries-article-summary/.

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IvyPanda. (2022) 'Resident Duty Reform Impact on Hospital Readmission Rates Among Medicare Beneficiaries. Article Summary'. 14 May.

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