Volume 3, Issue 4 (2019)
Manage Strat Health Syst 2019, 3(4): 290-298 |
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MSc in student of Healthcare Management, Social determinates of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
Abstract: (2606 Views)
Background: Assessing the effectiveness and efficiency is one of the main issues in hospitals. Utilization of a hospital bed is important in determining the hospital's efficiency. The purpose of this study was to investigate the effect of Health Evolution plan on the performance indicators of hospitals affiliated to Mashhad University of Medical Sciences.
Methods: This cross-sectional descriptive study was conducted in 22 hospitals of Mashhad University of Medical Sciences in 2013 and 2017 to investigate the effect of Health Evolution Plan. The study population included all hospitals (N = 28) affiliated to Mashhad University of Medical Sciences. The study samples consisted of 22 hospitals, which were active at the time of study. The data were collected by referring to the statistical unit of the studied hospitals and extracting the functional indicators. Data analysis was performed using the Pabon Lasso chart in Excel software and SPSS 16. Furthermore, paired t-test was used to determine the relationship.
Results: In 2013 and 2017, the highest bed occupancy rates were 86.55 and 94.27 %, respectively; whereas, the lowest rates were 48.20 and 54.21 %, respectively. The maximum numbers of bed turnover were 144.28 and 184.97 before and after the health evolution, respectively. However, the lowest rates were 7.45 and 8.85 before and after the health evolution, respectively. Moreover, the average daily hospital admission rates before the program were 40.10 and 6.33days in the studied years, respectively. After the plan, admission rates were 38.41 and 8.00 days in 2013 and 2017, respectively. The lowest admission rates before and after the plan were 1.51 and 1.41 days, respectively. A significant difference was observed between before and after implementation of plan regarding the percentage of bed occupancy, the average hospitalization period in days, and bed turnover (p < 0.05).
Conclusion: After implementation of the Health Promotion Plan, favorable changes happened in the hospital status on the Pabon Lasso chart. Continuation of this program and its regular monitoring can improve the performance indicators of the hospitals.
Methods: This cross-sectional descriptive study was conducted in 22 hospitals of Mashhad University of Medical Sciences in 2013 and 2017 to investigate the effect of Health Evolution Plan. The study population included all hospitals (N = 28) affiliated to Mashhad University of Medical Sciences. The study samples consisted of 22 hospitals, which were active at the time of study. The data were collected by referring to the statistical unit of the studied hospitals and extracting the functional indicators. Data analysis was performed using the Pabon Lasso chart in Excel software and SPSS 16. Furthermore, paired t-test was used to determine the relationship.
Results: In 2013 and 2017, the highest bed occupancy rates were 86.55 and 94.27 %, respectively; whereas, the lowest rates were 48.20 and 54.21 %, respectively. The maximum numbers of bed turnover were 144.28 and 184.97 before and after the health evolution, respectively. However, the lowest rates were 7.45 and 8.85 before and after the health evolution, respectively. Moreover, the average daily hospital admission rates before the program were 40.10 and 6.33days in the studied years, respectively. After the plan, admission rates were 38.41 and 8.00 days in 2013 and 2017, respectively. The lowest admission rates before and after the plan were 1.51 and 1.41 days, respectively. A significant difference was observed between before and after implementation of plan regarding the percentage of bed occupancy, the average hospitalization period in days, and bed turnover (p < 0.05).
Conclusion: After implementation of the Health Promotion Plan, favorable changes happened in the hospital status on the Pabon Lasso chart. Continuation of this program and its regular monitoring can improve the performance indicators of the hospitals.
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