RT Journal Article
SR Electronic
T1 Quality assurance in an adult intensive care unit, Eastern region, Saudi Arabia
JF Saudi Medical Journal
JO Saudi Med J
FD Prince Sultan Military Medical City
SP 408
OP 411
VO 28
IS 3
A1 Iqbal, Mobeen
A1 Rehmani, Rifat
A1 Venter, Joan
A1 Alaithan, Abdulsalam M.
YR 2007
UL http://smj.org.sa/content/28/3/408.abstract
AB OBJECTIVE: Quality assurance (QA) is an increasingly important element in the administrative management of Intensive Care Unit (ICU). This is not only to improve clinical practices and patient's outcome, but also helps in proper resource utilization. We introduced a comprehensive quality assurance program in ICU at King Abdulaziz National Guard Hospital, Alhasa, Saudi Arabia, based on the existing medical evidence.METHODS: We identified an already-validated set of quality indicators in intensive care and grouped them in categories of outcome measures (which reflect patient's subsequent health status) and process measures (related to patient-healthcare professional's interaction). Data collection forms were developed for nurses and physicians. Data were reported on monthly basis starting from January 2005, and the first 10 months data are presented.RESULTS: Three hundred eighty-seven patients were admitted during the study period. Approximately 56.9% had cardiac related diseases, 33.5% had medical ailments, and 9.6% had surgery related issues. There were 54.6% males and 45.4% females. Mean age of the patients was 58.4 ± 18.3 years. The mean acute physiology and chronic health evaluation II (APACHE-II) score was 13.6 ± 4.9. Outcome measures were either better or comparable to international data, while adherence to process measures was found to be excellent. Standardized mortality ratio for the duration of study was 0.24 with 95% confidence interval from 0.15-0.36.CONCLUSION: Implementation of QA program is practical in an ICU. Disseminating the quality monitoring information at national level can lead to a broad data base, which can identify the best performing ICUs, thus, leading to bench marking and creating risk adjusted models applicable to local population.