Antibiotic stewardship in a tertiary care hospital of a developing country: establishment of a system and its application in a unit-GASP Initiative.

PURPOSE: Despite the proven benefits of antimicrobial stewardship, models for executing the same in the developing countries are sparse. The present study highlights the approaches undertaken by our group in initiating one such program in a public sector tertiary level health care setting of a developing country. METHODS: The study focussed on development of a system after evaluation of existing issues and case study of implementation of the program in a unit within the hospital. The system building exercise included (1) development of generic data capture form for prospective audit and feedback; (2) development of an electronic system for data capture; (3) identification of key intervention points for strategy decision for stewardship in a particular unit; (4) application of the stewardship method and (5) evaluation of outcomes. RESULTS: A digital system for prospective audit was constructed after a background study. In the study unit, there was a significant decline in double anaerobic coverage. There was a significant decline in the average number of antimicrobials used per patients and a decrease in Defined Daily Dose of designated antimicrobials was noted. Additionally, there was an increase in the use of optimized doses. CONCLUSION: A system for undertaking antimicrobial stewardship with a mechanism for prospective audit was put in place. The system may be adopted by other public sector hospitals of the developing country.

POSSUM and P-POSSUM for risk-adjusted audit of patients undergoing emergency laparotomy.

BACKGROUND: The Physiological and Operative Severity Score for the enUmeration of Mortality and morbidity (POSSUM) is a scoring system that is used widely to predict 30-day mortality and morbidity rates. The Portsmouth predictor modification (P-POSSUM) was developed to overcome the overprediction of mortality by POSSUM, especially in low-risk patients. In this prospective study, the validity of POSSUM and P-POSSUM was tested in patients undergoing emergency laparotomy in a referral hospital of a developing country. METHODS: Some 120 patients who underwent emergency laparotomy in a single unit were studied. Predicted morbidity and mortality rates were calculated by POSSUM and P-POSSUM equations using both linear regression and the exponential methods of analysis. These were compared with actual outcomes. RESULTS: When the linear method of analysis was used POSSUM overpredicted morbidity, and there was a significant difference between the observed and predicted values (observed to expected (O : E) ratio 0.68). The prediction was more accurate when the exponential method was used (O : E ratio 0.91). POSSUM also significantly overpredicted mortality when analysed by the linear method (O : E ratio 0.39), but the prediction improved when exponential analysis was used (O : E ratio 0.62). Applying linear and exponential analyses for P-POSSUM, the O : E ratios for mortality were 0.66 and 0.88 respectively. CONCLUSION: If analysed correctly POSSUM is a good predictor of morbidity and mortality in patients undergoing emergency laparotomy. P-POSSUM predicts mortality equally well. Both equations may be used for risk-adjusted surgical audit of patients undergoing emergency laparotomy.