
A Descriptive Study of Length of Stay at an Intensive Care Unit
Author(s) -
Kasturi Shukla,
Priyadarshini Chandrashekhar,
Nirmal Kumar,
Pradnya K Devade
Publication year - 2015
Publication title -
international journal of research foundation of hospital and healthcare administration
Language(s) - English
Resource type - Journals
eISSN - 2347-4602
pISSN - 2347-4254
DOI - 10.5005/jp-journals-10035-1033
Subject(s) - medicine , intensive care unit , intensive care , emergency medicine , intensive care medicine
Background and aims As intensive care units (ICUs) are very resource intensive, length of stay (LOS) is of prime importance. This study was done to analyze the LOS in different ICUs and analyze it against a set benchmark. Materials and methods This retrospective study was conducted from April to June 2013 on patients admitted during January to March 2013 in the neurosurgery ICU (NICU), medical ICU (MICU), high dependency unit (HDU) and isolation ICU of a large multispecialty hospital in Pune (India). As per the quality manual of the hospital, benchmark LOS was considered as 3.08 days for ICU. Mean and median LOS was analyzed through Student's t and Chi-square test; proportion of short ( 4 days) patients was also computed. Results Out of 835 patients admitted to the NICU, MICU, HDU and Isolation ICU, the overall mean LOS was 3.37 ± 5.54 days which was statistically significant at a p-value <0.001 (t = 17.58, 95% CI 3-3.75). The overall mean LOS was higher than the benchmarked 3.08 days but still within the optimal range of 2 to 4 days. Mean LOS was statistically significant when tested for department-wise variations with a Chi-value of 173.56 (p-value < 0.001, LR = 113.75). Highest mean LOS was observed for isolation ICU and lowest for MICU. 360 (43.1%) were short stay, 141(16.8%) were long stay and remaining were optimal stay patients. Conclusion The mean LOS for the ICUs varied significantly across the type of ICUs which needs to be continuously monitored. Mean LOS variation across ICU type indicates need for separate benchmarks. How to cite this article Shukla K, Chandrashekhar P, Kumar N, Devade PK. A Descriptive Study of Length of Stay at an Intensive Care Unit. Int J Res Foundation Hosp Healthc Adm 2015;3(1):29-32.