The Relationship Between Performance Indicators and Readmission of Patients With Open Heart Surgery: A Case Study in Iran
<strong>Background: </strong>Open heart surgery is a prevalent therapeutic intervention for cardiovascular diseases. Significant adverse effects occur after heart surgery, one of which is patient readmission to the hospital.<br /> <strong>Objective: </strong>The present...
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Baqiyatallah University of Medical Sciences,
2019-06-01T00:00:00Z.
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| Summary: | <strong>Background: </strong>Open heart surgery is a prevalent therapeutic intervention for cardiovascular diseases. Significant adverse effects occur after heart surgery, one of which is patient readmission to the hospital.<br /> <strong>Objective: </strong>The present study aimed to determine the relationship between performance indicators and the readmission of patients with open heart surgery in a teaching hospital in Iran.<br /> <strong>Methods: </strong>This study was performed using a cross-sectional and descriptive method with a retrospective approach. Data was collected on a data collection form. The statistical population of this study comprised all patients who underwent open heart surgery from mid-September 2015 to mid-September 2016 in a teaching hospital in the north of Iran (n=849). Those patients readmitted to the hospital within 90 days after discharge, based on a review of patient records, were included in the study. Descriptive statistics and Spearman correlation coefficient were used for data analysis by SPSS 20.<br /> <strong>Results: </strong>Among the patients who had open heart surgery in the selected hospital, 12.5% were readmitted within 90 days after discharge. The most important reasons for readmission in this study were infection in surgery place (25.8%), pleural effusion (18.7%), warfarin toxicity (9.8%), and tamponade (8.9%). There were inverse relationships between patient readmission and the two performance indicators of bed occupancy percentage (r = -0.594, <em>P </em>= 0.042) and bed turnover rate (r = -0.664, <em>P </em>= 0.018). There were no statistically significant relationships between any of the other indicators (length of stay, mortality, and bed turnover interval) and readmission rate (<em>P </em>> 0.1).<br /> <strong>Conclusion: </strong>Hospital authorities can use these results for bed management and targeting interventions to reduce costs and readmissions as a measure of hospital quality. However, further research into readmission factors in other hospitals is recommended. |
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| Item Description: | 2476-390X 2476-3918 10.15171/hpr.2019.11 |