Masoud Arefnezhad1, Vahid Yazdi Feyzabadi2,3, Enayatollah Homaie Rad2, Zahra Sepehri1, Saeideh Pourmand1, Mohadeseh Rava1. 1. a School of Public Health , Zabol University of Medical Sciences , Zabol , Iran. 2. b Department of Health Management and Economics, School of Public Health , Tehran University of Medical Sciences , Tehran , Iran. 3. c Health Services Management Research Center, Institute for Futures Studies in Health , Kerman University of Medical Sciences , Kerman , Iran.
Abstract
BACKGROUND: Length of stay (LOS) is used as an indicator to show the efficacy of hospitals. An increase in hospitalized days is not cost effective and decreases the efficacy of hospitals. Using insurance has some side effects. One of these side effects is increasing the LOS. In this study we attempt to discover the effects of complementary health insurance (CHI) on LOS in patients with acute coronary syndrome (ACS). METHODS: In this cross-sectional study, 260 patients were surveyed. By using Poisson regression, the effects of using complementary health insurance on LOS were examined. The effects of confounders were also controlled in the model. RESULTS: The results of this study demonstrated that the relationship between use of CHI and LOS is direct. In addition, an increase in age and income also increases the LOS. The average LOS was 4.13 days, while it was 5.31 for CHI users, and 3.81 for CHI nonusers. CONCLUSION: Government budget is restricted and ACS treatments are costly. Decreasing LOS in ACS patients can help to spend the budget more effectively.
BACKGROUND: Length of stay (LOS) is used as an indicator to show the efficacy of hospitals. An increase in hospitalized days is not cost effective and decreases the efficacy of hospitals. Using insurance has some side effects. One of these side effects is increasing the LOS. In this study we attempt to discover the effects of complementary health insurance (CHI) on LOS in patients with acute coronary syndrome (ACS). METHODS: In this cross-sectional study, 260 patients were surveyed. By using Poisson regression, the effects of using complementary health insurance on LOS were examined. The effects of confounders were also controlled in the model. RESULTS: The results of this study demonstrated that the relationship between use of CHI and LOS is direct. In addition, an increase in age and income also increases the LOS. The average LOS was 4.13 days, while it was 5.31 for CHI users, and 3.81 for CHI nonusers. CONCLUSION: Government budget is restricted and ACS treatments are costly. Decreasing LOS in ACS patients can help to spend the budget more effectively.
Entities:
Keywords:
Hospital length of stay; Iran; complementary health insurance; poisson regression