72-hour hospital readmission of older people after hospital discharge with home care services

[Advance care planning and use of health resources among COVID-19 nursing home patients in an integrated health care program for frail elders]

OBJECTIVES

To estimate the magnitude and importance of a process of stratification and advance care planning and the use of health resources, among patients in an integrated health care program for frail elderls in nursing homes,that were referred to the hospital with COVID-19.

MATERIAL AND METHODS

Prospective cohort study of patients >64 years old with COVID-19 infection, in a health care program in nursing homes (from 3/15/2020 to 9/15/2020). The identification of patients with palliative needs, the performing and visible registration in electronic health records of the advance care planning and the use of intensive care were assessed.

RESULTS

We included 374 COVID-19 patients. 88% were women, the median age was 88 years old. The 79% were patients with palliative needs, of which 68% had the advance care planning (P<.001) registered in the electronic health record. Only 1% of patients with palliative needs and severity criteria were admitted to the intensive care unit. Overall mortality was 25%. Of those who died, 74% had severity criteria (P<.001) and 90% had palliative needs (P<.001).

CONCLUSIONS

Carrying out a care process based on identification of patients with palliative needs and advance care planning and a central and visible registration of advance care planning in health records, could improve the quality and safety of care and optimize the use of intensive care health resources at all times and especially in public health emergencies.

[Implementation of discharge management in the surgical department of a university hospital: exploratory analysis of costs, length of stay, and patient satisfaction]

BACKGROUND

Discharge management has been mandatory by law in Germany since October 2017, and hospitals are required to finance and implement this. Currently there are no data available on the costs and effects of discharge management on the length of hospital stay.

AIMS

Determination of the costs of discharge management in the Department of Surgery at the University Hospital rechts der Isar of the Technical University of Munich, Germany, assessment of the length of stay in comparison with and without discharge management, and evaluation of patients' satisfaction to create first precedents for future negotiations about adequate financing.

METHODS

Cost analysis of discharge management in the Department of Surgery at the School of Medicine at the Technical University of Munich, retrospective analysis of the mean length of hospital stays before and after implementation of discharge management, and patient surveys on the quality of the structured transition process and their satisfaction.

RESULTS

The cost analysis revealed lump costs of € 43 per patient and € 391 for patients with a need for complex management. No statistically significant shorter length of hospital stay after the implementation of discharge management was found by analyzing three patient subgroups. The overall rate of patients returning to the hospital due to complications associated with the surgical procedure was 3.4%.

DISCUSSION

Discharge management in the Department of Surgery at the hospital is an effective and potentially quality-enhancing but at the same time cost-driving measure, which, in the medium term, will enter G‑DRG rates and may thus increase costs. A possible solution to meet various stakeholders' needs could be a case-specific financial remuneration of discharge management that is adapted to the transition qualities of the various medical departments.

Risk Factors for Hospital Readmission and Death After Discharge of Older Adults from Acute Geriatric Units: Taking the Rank of Admission into Account

Objective

To analyze the impact of the number of hospital readmissions on the risks of further hospital readmission and death after adjustment for a range of risk factors.

Methods

We performed a multicentre prospective study of the DAMAGE cohort in the Hauts-de-France region of France. Patients aged 75 and over hospitalized initially in an acute geriatric unit (AGU) were included and followed up for 12 months. The risk of hospital readmission was analyzed using a Cox model, and its extension for recurrent events and the risk of death were analyzed using a Cox model for time-dependent variables.

Results

A total of 3081 patients were included (mean (SD) age: 86.4 (5.5)). In the multivariate analysis, the relative risk (95% confidence interval [CI]) of hospital readmission rose progressively to 2.66 (1.44; 5.14), and the risk of death rose to 2.01 (1.23; 3.32) after five hospital admissions, relative to a patient with no hospital readmissions. The number of hospital readmissions during the follow-up period was the primary risk factor and the best predictor of the risk of hospital readmission and the risk of death.

Conclusion

Hospital readmission is the primary risk factor for further hospital readmissions and for death in older subjects discharged from an AGU.

Assess the Performance and Cost-Effectiveness of LACE and HOSPITAL Re-Admission Prediction Models as a Risk Management Tool for Home Care Patients: An Evaluation Study of a Medical Center Affiliated Home Care Unit in Taiwan

The LACE index and HOSPITAL score models are the two most commonly used prediction models identifying patients at high risk of readmission with limited information for home care patients. This study compares the effectiveness of these two models in predicting 30-day readmission following acute hospitalization of such patients in Taiwan. A cohort of 57 home care patients were enrolled and followed-up for one year. We compared calibration, discrimination (area under the receiver operating curve, AUC), and net reclassification improvement (NRI) to identify patients at risk of 30-day readmission for both models. Moreover, the cost-effectiveness of the models was evaluated using microsimulation analysis. A total of 22 readmissions occurred after 87 acute hospitalizations during the study period (readmission rate = 25.2%). While the LACE score had poor discrimination (AUC = 0.598, 95% confidence interval (CI) = 0.488–0.702), the HOSPITAL score achieved helpful discrimination (AUC = 0.691, 95% CI = 0.582–0.785). Moreover, the HOSPITAL score had improved the risk prediction in 38.3% of the patients, compared with the LACE index (NRI = 0.383, 95% CI = 0.068–0.697, p = 0.017). Both prediction models effectively reduced readmission rates compared to an attending physician’s model (readmission rate reduction: LACE, 39.2%; HOSPITAL, 43.4%; physician, 10.1%; p < 0.001). The HOSPITAL score provides a better prediction of readmission and has potential as a risk management tool for home care patients.