2020Acta Medica PhilippinaOpen access

The Use of Determinants of Length of Stay in the Post-anesthesia Care Unit (PACU) at the Philippine General Hospital among Postoperative Patients who Underwent Elective Surgeries to Create a Predictive Model for PACU Length of Stay

Maria Teresita B. Aspi, Evangeline Ko-Villa

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Abstract

Background. The aims of this study were to determine the average length of stay in the Post-anesthesia CareUnit (PACU LOS) in the Philippine General Hospital (PGH) and to create a model that will predict the PACU LOSbased on the factors that significantly affect the LOS. Determination and prediction of PACU LOS is essential inresource utilization, and in cost containment and reduction. Addressing the modifiable variables that affect thePACU LOS may lead to an improvement in the LOS of patients in the PACU and, consequently, to better recoveryroom staffing and a reduced cost for the patients and the hospital. Methods. A prospective chart review of 400 postoperative patients admitted in the PGH PACU was done. Summarystatistics were presented. Using the set of variables found to be significant, a regression model was formulatedto estimate the PACU LOS. Results. The mean PACU LOS was 4.59 hours. There were significant differences in the mean PACU LOS basedon the occurrence of complications. There were also significant differences in the median PACU LOS based onthe type and duration of surgery, anesthetic technique, and duration of anesthesia. The multiple linear regressionmodel that best predicted PACU LOS included ASA-PS classification, type of surgery, duration of surgery, anesthetictechnique, and occurrence of intraoperative or postoperative complications. Conclusions. The mean PACU LOS of the Philippine Genera Hospital is higher than that of published data. Thefactors included in the model that best predicts PACU LOS may be studied to improve the PACU LOS.

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Background. The aims of this study were to determine the average length of stay in the Post-anesthesia CareUnit (PACU LOS) in the Philippine General Hospital (PGH) and to create a model that will predict the PACU LOSbased on the factors that significantly affect the LOS. Determination and prediction of PACU LOS is essential inresource utilization, and in cost containment and reduction. Addressing the modifiable variables that affect thePACU LOS may lead to an improvement in the LOS of patients in the PACU and, consequently, to better recoveryroom staffing and a reduced cost for the patients and the hospital. Methods. A prospective chart review of 400 postoperative patients admitted in the PGH PACU was done. Summarystatistics were presented. Using the set of variables found to be significant, a regression model was formulatedto estimate the PACU LOS. Results. The mean PACU LOS was 4.59 hours. There were significant differences in the mean PACU LOS basedon the occurrence of complications. There were also significant differences in the median PACU LOS based onthe type and duration of surgery, anesthetic technique, and duration of anesthesia. The multiple linear regressionmodel that best predicted PACU LOS included ASA-PS classification, type of surgery, duration of surgery, anesthetictechnique, and occurrence of intraoperative or postoperative complications. Conclusions. The mean PACU LOS of the Philippine Genera Hospital is higher than that of published data. Thefactors included in the model that best predicts PACU LOS may be studied to improve the PACU LOS.

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Available abstract

Background. The aims of this study were to determine the average length of stay in the Post-anesthesia CareUnit (PACU LOS) in the Philippine General Hospital (PGH) and to create a model that will predict the PACU LOSbased on the factors that significantly affect the LOS. Determination and prediction of PACU LOS is essential inresource utilization, and in cost containment and reduction. Addressing the modifiable variables that affect thePACU LOS may lead to an improvement in the LOS of patients in the PACU and, consequently, to better recoveryroom staffing and a reduced cost for the patients and the hospital. Methods. A prospective chart review of 400 postoperative patients admitted in the PGH PACU was done. Summarystatistics were presented. Using the set of variables found to be significant, a regression model was formulatedto estimate the PACU LOS. Results. The mean PACU LOS was 4.59 hours. There were significant differences in the mean PACU LOS basedon the occurrence of complications. There were also significant differences in the median PACU LOS based onthe type and duration of surgery, anesthetic technique, and duration of anesthesia. The multiple linear regressionmodel that best predicted PACU LOS included ASA-PS classification, type of surgery, duration of surgery, anesthetictechnique, and occurrence of intraoperative or postoperative complications. Conclusions. The mean PACU LOS of the Philippine Genera Hospital is higher than that of published data. Thefactors included in the model that best predicts PACU LOS may be studied to improve the PACU LOS.

Key concepts: Pacu, Medicine, Post-anesthesia care unit, Anesthetic, Anesthesia, Surgery, Emergency medicine

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The Use of Determinants of Length of Stay in the Post-anesthesia Care Unit (PACU) at the Philippine General Hospital among Postoperative Patients who Underwent Elective Surgeries to Create a Predictive Model for PACU Length of Stay — Research Paper | ScholarLens