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Predictors for Unplanned Readmissions within 18 Days after Hospital Discharge: a Retrospective Cohort Study
Maria Boesing1,2, Claudia Gregoriano3,2, Anna E Minder4,2
1University Clinic of Medicine, Cantonal Hospital Baselland, Liestal, Switzerland.
Insights
Male sex and numerous discharge medications predict early hospital readmissions. High-risk categories include respiratory, cardiovascular, and gastrointestinal systems, guiding targeted prevention strategies for relevant readmissions.
Area of Science:
- Internal Medicine
- Health Services Research
Background:
- Swiss hospitals adopted a diagnosis-related groups (DRG) reimbursement system in 2012.
- Readmissions within 18 days and same major diagnostic category (MDC) are often reimbursed less.
- Identifying predictors for early readmissions can help manage patient distress and healthcare costs.
Purpose of the Study:
- To identify predictors of early unplanned readmissions within the same MDC.
- To pinpoint high-risk index hospitalizations for targeted intervention.
- To potentially prevent unnecessary readmissions and improve patient outcomes.
Main Methods:
- Retrospective data collection from the Clinic of Internal Medicine at University Hospital of Basel, Switzerland.
- Analysis of patients hospitalized for over 24 hours during the pre-DRG period (Oct 2009 - Sep 2010).
- Logistic regression used to identify predictors of unplanned readmissions within 18 days under the same MDC.
Main Results:
- 3.1% of 7479 patients experienced at least one readmission.
- Male sex and a high number of prescribed drugs at discharge were significant patient-related predictors.
- Respiratory, cardiovascular, and gastrointestinal systems were identified as high-risk MDCs for readmission.
Conclusions:
- Early readmissions within the same MDC are infrequent and not significantly influenced by patient age or length of index hospital stay.
- Multimorbid patients and those hospitalized for cardiovascular, respiratory, or gastrointestinal conditions are at higher risk.
- Targeted prevention strategies focusing on these patient groups and conditions are recommended to reduce early readmissions.
Abstract:
Since the introduction of the reimbursement system based on diagnosis-related groups (DRG) in Swiss hospitals in 2012, most readmissions occurring within 18 days and appertaining to the same major diagnostic category (MDC) are merged and thus often reimbursed to a lesser extent. While readmissions reflect increased distress for patients and their relatives, the causes are mainly patient-related and difficult to influence. However, it may be possible to identify cases at higher risk for readmission. Therefore, the aim of this study was to find predictors for early readmissions in the same MDC, to identify high-risk index hospitalizations and possibly prevent unnecessary readmissions. The data of all patients admitted to the Clinic of Internal Medicine at the University Hospital of Basel, Switzerland, hospitalized for longer than 24 hours during the pre-DRG period between October 2009 and September 2010 were retrospectively collected. Data were examined for predictors of unplanned readmission within 18 days under the same MDC ('relevant readmission') by means of logistic regression. 7479 patients (median age 67.8 years, 56% male) were admitted to the Clinic of Internal Medicine, with 232 patients (3.1%) being readmitted at least once. Logistic regression revealed male sex (p =0.035) and a high number of prescribed drugs at discharge (p <0.005) as patient-related predictors. The MDCs respiratory system, cardiovascular system, and gastrointestinal/hepatobiliary system were identified as high-risk categories (each p <0.005). Age and length of index hospital stay added no significant explanatory value to the regression model. Unplanned readmissions under the same MDC within 18 days were infrequent and not related to patients' age or length of hospital stay. Overall, multimorbid patients, and hospitalizations regarding the cardiovascular, respiratory, or gastrointestinal system appear to be most at risk and should therefore be specifically targeted in the prevention of early readmissions.
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