Prevalence, Reasons, and Predisposing Factors Associated with 30-day Hospital Readmissions in Poland

Predictors of readmission in a medical department of a tertiary university hospital in the Philippines

BACKGROUND

Identifying factors that increase the risk for hospital readmission helps in determining potential targets for quality improvement efforts. The main objective of this study was to examine factors that predict increased risk of hospital readmission within 30 days of hospital discharge of patients under the General Medicine service of a tertiary government hospital in Manila, Philippines.

METHODS

We performed a retrospective cohort study which included service patients 19 years old and above readmitted within 30 days following discharge. A total of 324 hospital readmissions within 30 days of discharge from January 1 to December 31, 2019 were reviewed. We estimated the rate of 30-day readmission and identified factors associated with preventable readmissions using multivariable logistic regression.

RESULTS

Of the 4,010 hospitalizations under General Medicine service in 2019, 602 (18%) were readmissions within 30 days of discharge, majority of which were related to the index admission (90%) and unplanned (68%). Predictors of preventable readmission were emergency readmission (OR 3.37, 95% CI 1.72 to 6.60), having five to ten medications at discharge (OR 1.78, 95% CI 1.10 to 2.87), and presence of nosocomial infection (OR 1.86, 95% CI 1.09 to 3.17). The most frequent reason for readmission among preventable ones is health-care related infection (42.9%).

CONCLUSIONS

We identified factors which increased the likelihood of preventable readmissions such as type of readmission, number of medications per day, and presence of nosocomial infections. We propose that these issues be addressed to improve healthcare delivery and reduce readmission-related expenditures. Further studies should be pursued to identify impactful evidence-based practices.

Comparison of 30-day planned and unplanned readmissions in a tertiary teaching hospital in China

PURPOSE

The purpose of this study was to analyze and compare the clinical characteristics of patients with 30-day planned and unplanned readmissions and to identify patients at high risk for unplanned readmissions. This will facilitate a better understanding of these readmissions and improve and optimize resource utilization for this patient population.

METHODS

A retrospective cohort descriptive study was conducted at the West China Hospital (WCH), Sichuan University from January 1, 2015, to December 31, 2020. Discharged patients (≥ 18 years old) were divided into unplanned readmission and planned readmission groups according to 30-day readmission status. Demographic and related information was collected for each patient. Logistic regression analysis was used to assess the association between unplanned patient characteristics and the risk of readmission.

RESULTS

We identified 1,118,437 patients from 1,242,496 discharged patients, including 74,494 (6.7%) 30-day planned readmissions and 9,895 (0.9%) unplanned readmissions. The most common diseases of planned readmissions were antineoplastic chemotherapy (62,756/177,749; 35.3%), radiotherapy sessions for malignancy (919/8,229; 11.2%), and systemic lupus erythematosus (607/4,620; 13.1%). The most common diseases of unplanned readmissions were antineoplastic chemotherapy (2038/177,747; 1.1%), age-related cataract (1061/21,255; 5.0%), and unspecified disorder of refraction (544/5,134; 10.6%). There were statistically significant differences between planned and unplanned readmissions in terms of patient sex, marital status, age, length of initial stay, the time between discharge, ICU stay, surgery, and health insurance.

CONCLUSION

Accurate information on 30-day planned and unplanned readmissions facilitates effective planning of healthcare resource allocation. Identifying risk factors for 30-day unplanned readmissions can help develop interventions to reduce readmission rates.

Factors Associated With Repeat Emergency Department Visits for Low Back Pain

Background

Low back pain represents 2-3% of Emergency Department (ED) visits. In this study, we aimed to identify patient and treatment-related variables that contributed to repeat visits to the ED for low back pain within a 12-month period.

Methodology

We conducted a retrospective review of adult patients presenting to the ED of one hospital over a two-year period with the primary diagnosis of low back pain. The primary outcome included return to the ED within 12 months with the same complaint, and the secondary outcome included return to the ED within 30 days or six months.

Results

A total of 793 patients met the inclusion criteria. The rate of return to the ED with the same complaint within 30 days, six months, and 12 months of the first visit was 7%, 11%, and 14%, respectively. Patients who received opioids at discharge were more likely to return within 12 months (68% vs. 55%; p = 0.0075) and six months (68% vs. 56%; p = 0.0184) compared to those who did not receive opioids at discharge. Undergoing an X-ray decreased the odds of a 30-day return visit by 70% (p = 0.0067), and by 59% within 12 months (p = 0.0032). Receiving opioids at discharge also doubled the odds of return within 12 months (odds ratio = 2.030, p = 0.0183), while receiving nonsteroidal anti-inflammatory drugs (NSAIDs) reduced the odds by 60% (p = 0.0028).

Conclusions

Patients who received opioids at discharge were more likely to have a return visit for low back pain within six and 12 months. Patients who underwent X-rays at the index visit and were prescribed NSAIDs at discharge were less likely to return to the ED for low back pain.