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Unplanned readmission after hospital discharge in burn patients in Iran
Zakiyeh Jafaryparvar1, Masoomeh Adib2, Atefeh Ghanbari3
1Razi Clinical Research Development Center, Guilan University of Medical Sciences, Rasht, Iran.
Insights
Burn patient readmission is predicted by larger burn size, hypertension, and skin grafts. Identifying these factors can improve healthcare quality indicators and manage treatment costs effectively.
Area of Science:
- Medical Research
- Burn Care
- Public Health
Background:
- Burns represent a significant global health challenge with severe consequences.
- Unplanned readmission is a critical outcome and a common healthcare quality indicator.
- This study investigated factors predicting unplanned readmissions in burn patients.
Purpose of the Study:
- To identify predictors of unplanned readmission in burn patients.
- To inform healthcare quality improvement initiatives.
- To aid in the allocation of treatment resources for burn care.
Main Methods:
- Retrospective analysis of 626 patient medical records.
- Data collected from Velayat Sub-Specialty Burn and Plastic Surgery Center (2008-2013).
- Statistical analysis using SPSS (version 16) with descriptive and inferential statistics.
Main Results:
- The overall unplanned readmission rate was 5.1%.
- Predictors of readmission included increased total body surface area (OR 1.030), hypertension (OR 2.923), and skin graft procedures (OR 7.045).
Conclusions:
- Burn patient readmission predictors are vital for resource allocation and cost management.
- These predictors can serve as key quality indicators for healthcare providers and policymakers.
- Understanding these factors can lead to improved patient outcomes and healthcare efficiency.
Introduction:
Burns are considered as one of the most serious health problems throughout the world. They may lead to adverse consequences and outcomes. One of these outcomes is unplanned readmission. Unplanned readmission has been commonly used as a quality indicator by hospitals and governments. This study aimed to determine the predictors of unplanned readmission in patients with burns hospitalized in a burn center in the North of Iran (Guilan province, Rasht).
Methods:
This retrospective analytic study has been done on the medical records of hospitalized patients with burns in Velayat Sub-Specialty Burn and Plastic Surgery Center, Rasht, Iran during 2008-2013. In general, 703 medical records have been reviewed but statistical analysis was performed on 626 medical records. All data were entered in SPSS (version 16) and analyzed by descriptive and inferential statistics.
Results:
Among 626 patients with burns, the overall readmission rate was 5.1%. Predictors of readmission included total body surface area (OR 1.030, CI 1.011-1.049), hypertension (OR 2.923, CI 1.089-7.845) and skin graft (OR 7.045, CI 2.718-18.258).
Conclusion:
Considering the outcome, predictors following burn have a crucial role in the allocation of treatment cost for patients with burns and they can be used as one of the quality indicators for health care providers and governments.
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