AI Article Synopsis
- The study aims to evaluate the effectiveness of front-door discharge decision tools in predicting mortality rates for patients.
- Researchers analyzed data from three databases, including studies that tested various prediction tools linked to patient discharge and their correlation with mortality or readmission rates.
- Results showed that while low-risk patients had lower mortality rates (0-1.7%), they experienced higher readmission rates (0-8%) compared to those who were admitted or classified as control.
Article Abstract
Objective: To determine whether front-door discharge decision tools operate at different mortality thresholds.
Methods: Three databases searched, for studies testing, deriving or validating front-door risk prediction tools or discharge decision aids, with defined discharge 'cut-off', reporting mortality or readmission rates. Studies supporting tools' inclusion in national guidelines were also included.
Results: Twenty-four studies were included, frequently for acute chest pain. Mortality rates among those discharged based on tools 0-1.7%. Eight studies reported readmission rates, 0-8% among those discharged early or deemed low-risk.
Conclusion: Although mortality rates were lower for those deemed low-risk by decision aids than those admitted or control groups, readmission rates tended to be higher among low-risk or discharged patients, than among control group or admitted patients.
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| http://dx.doi.org/10.52964/AMJA.0990 | DOI Listing |
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