The Relationship Between Performance Indicators and Readmission of Patients With Open Heart Surgery: A Case Study in Iran

Author:

Ebrahimi Parvin1,Nattaj Darzi Naghibi Mohammadali Taghi1,Vatankhah Soudabeh1,Faghanzadeh Ganji Ghassem2

Affiliation:

1. Department of Health Services Management, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran

2. Cardiac Surgery Department, Rohani Hospital, Babol University of Medical Sciences, Babol, Iran

Abstract

Background: 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. Objective: 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. Methods: 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. Results: 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, P=0.042) and bed turnover rate (r = -0.664, P=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 (P>0.1). Conclusion: 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.

Publisher

Maad Rayan Publishing Company

Subject

Geology,Ocean Engineering,Water Science and Technology

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