Readmission

Rates and Reasons for Readmission after Hospitalisation on the Acute Medical Unit

Introduction: Readmission after hospital discharge is an ongoing challenge that healthcare systems face worldwide, with multimorbidity increasing the readmission risk significantly. Identifying higher risk groups of patients allows for safety netting at discharge to be implemented to prevent harm. The aim of this study was to compare readmission rates and reasons across common diagnostic groups presenting to the acute medical unit.
Method: A retrospective analysis was performed on an anonymous dataset extracted from Salford Royal Hospital from 2014 – 2022 covering all non-elective inpatient admissions to AMU or medical same day emergency care where the patient survived to discharge. Episodes were grouped according to ICD-10 diagnostic codes, with readmission rates and reasons at 30 and 90 day calculated and compared using descriptive statistics. Further subgroups were evaluated according to demographic and co-morbid features.
Results: There were 89,897 admissions to AMU and SDEC where patients survived to discharge: age 68±19 years, 53% female. 5,880 episodes were excluded due to inpatient death.
The most common first admission reasons were pneumonia (n=9,121), COPD (4,800) and sepsis (3,440). The overall 30 day readmission rate was 12.3%, with the highest rates being found where first admission episode was due to liver disease (21.9%), chronic obstructive pulmonary disease (COPD, 21.1%), and falls (17.9%). 6% of all patients were readmitted within 30 days due to recurrence of the primary presenting illness, representing 49% of all readmissions. After primary illness recurrence, pneumonia was the second most common readmission reason in 17 of 22 diagnostic groups and accounted for 25% of all readmissions excluding primary illness recurrence.
Overall 90 day readmission rate was 24.2% with the same 3 most common diagnostic groups (liver disease 44%, COPD 39% and falls 34%). For 90 day readmission reasons according to specified comorbidities, the highest rates were seen in heart failures (34.1%) and COPD (33.1%). The highest readmission reason in the diagnostic groups was 41.4% of heart failure patients being readmitted with respiratory causes.
Heart failure was the most impactful co-morbid factor associated with higher likelihood of 90 day readmission in other disease presentations (34.4% with heart failure, 22.8% without).
Discussion: Readmission rates vary significantly between diagnostic and co-morbid groups meaning that targeting high risk groups for safety netting may be possible using only simple admission details.

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Society for Acute Medicine Benchmarking Audit 2021 (SAMBA21): assessing national performance of acute medicine services

The Society for Acute Medicine Benchmarking Audit 2021 (SAMBA21) took place on 17th June 2021, providing the first assessment of performance against the Society for Acute Medicine’s Clinical Quality Indicators (CQIs) within acute medical units since the start of the COVID-19 pandemic.

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Changes in vital signs post discharge as a potential target for intervention to avoid readmission

Abstract

Readmissions are treated as adverse events in many healthcare systems. Causes can be physiological deterioration or breakdown of social support systems.

We investigated data from a European multi-centre study of readmissions for changes in vital signs between index admission and readmission. Data sets were graded according to the National Early Warning Score (NEWS).

Of 487 patients in whom NEWS could be calculated on discharge and again on re-admission, 39.6% had worse vital signs with a NEWS score difference ≥ 2 points while only 7.6% had improved by ≥ 2 points. Changes in individual vital signs of 20% or more were most common in respiratory rate and heart rate.

Monitoring of respiratory rate and pulse rate post-discharge might predict some deteriorations.

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Acute Medical Ward for better care coordination of patients admitted with infection – evidence from a tertiary hospital in Singapore

Abstract

Coordination and consolidation of care provided in acute care hospitals need reconfiguration and reorganization to meet the demand of large number of acute admissions. We report on the effectiveness of an Acute Medical Ward AMW (AMW) receiving cases that were suspected to have infection related diagnosis on admission by Emergency Department (ED), addressing this in a large tertiary hospital in South East Asia. Mean Length of Stay (LOS) was compared using Gamma Generalized Linear Models with Log-link while odds of readmissions and mortality were compared using logistic regression models. The LOS (mean: 5.8 days, SD: 9.1 days) of all patients admitted to AMW was similar to discharge diagnosis-matched general ward (GW) patients admitted before AMW implementation, readmission rates were lower (15-day: 5.3%, 30-day: 8.1%). Bivariate and multivariate models revealed that mean LOS after AMW implementation was not significantly different from before AMW implementation (Ratio: 0.99, p=0.473). Our AMW had reduced readmission rates for patients with infection but has not made an overall impact on the LOS and readmission rates for the epartment as a whole.

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Can we predict Acute Medical readmissions using the BOOST tool? A retrospective case note review

Abstract

Background: Readmissions within 30-days of hospital discharge are a problem. The aim was to determine if the Better Outcomes for Older Adults through Safe Transitions (BOOST) risk assessment tool was applicable within the UK.

Methods: Patients over 65 readmitted were identified retrospectively via a casenote review. BOOST assessment was applied with 1 point for each risk factor.

Results: 324 patients were readmitted (mean age 77 years) with a median of 7 days between discharge and readmission. The median BOOST score was 3 (IQR 2-4) with polypharmacy evident in 88% and prior hospitalisation in 70%. The tool correctly predicted 90% of readmissions using two or more risk factors and 99.1% if one risk factor was included.

Conclusion: The BOOST assessment tool appears appropriate in predicting readmissions however further analysis is required to determine its precision.

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The Ability of Frailty to Predict Outcomes in Older People Attending an Acute Medical Unit

Abstract

Background: This study assessed the role of frailty assessment in the AMU.

Methods: Patients were assessed for frailty and their outcomes ascertained at 90 days.

Results: The Canadian Study on Health and Aging Clinical Frailty Scale categorised 29% of patients as moderately-severely frail. Frailty did not differentially identify those likely to be discharged within one day, nor with long stays. Mortality at 90 days was 32%; frailty was associated with the risk of dying, odds ratio 1.4. 21% of patients were readmitted at 30 days, and 33% at 90 days, but frailty was not predictive.

Discussion: Moderate-severe frailty in people aged 70+ was common and was predictive of higher mortality, but did not appear to predict admission, length of stay or readmission.

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