ABSTRACT
Introduction: Emergency information management system helps to improve the quality of the services rendered in emergency department, to meet the legal, requirements, accreditations, and research purposes. This study aimed to examine and compare teaching and non-teaching hospitals emergency centers' information management systems affiliated to Hormozgan University of Medical Sciences
Methods: This descriptive, cross-sectional study was conducted in 2013. Data were collected using two self-made check lists. Validity of instrument was determined based on content validity and sample size was calculated according to the size of the population, including 4 teaching and 3 non-teaching hospitals. 749 records out of 4656 ones were selected using a stratified random sampling method. Data analysis was performed through descriptive statistics using SPSS 16 Software. T-student test was used to examine differences between scores of teaching and non-teaching hospitals on various aspects
Results: None of the investigated systems has used quality analysis to improve the quality of the collected data. It was found that 43% of investigated emergency centers had not taken any actions for data organizing in medical records. Only 14.5% of emergency centers had classified data contained in records. The mean score of registered medical, financial, and identification of the health care providers data of teaching hospitals was revealed to be higher than non-teaching ones [P<0.01]
Conclusion: In general, emergency centers' information management systems in teaching hospitals had better conditions than those of non-teaching hospitals. Given the major role of emergency information management systems, health managers and policy makers need to plan and set policies required for upgrading their information systems
ABSTRACT
Death information plays a critical role in the adjustment of health plans, and the cause of death coding leads to organizing this information. The Purpose of this study was to review the impact of errors in the completion of death certificate on underlying the cause of death coding in Shahid Mohammadi hospital in Bandarabbas. This descriptive-cross sectional study was performed in the second half of 2011 by studying the death certificates of all extinct. First, certificates were written on aside forms and residents determined the sequences of death certificates. Next, researcher recoded certificates and compared his codes with original coders. At last, researcher referred to certificates themselves to extract information about documentation errors. Data were analyzed by SPSS using descriptive statistics, chi [2] test and 95percent confidence interval. The accuracy rate of underlying the cause of death coding was 51.7 percent. There was a significance between coding accuracy and major errors [P=0.001] but there was no significance between coding accuracy and minors. There was a significance between language of death certificate and occurrence of both major and minor errors[0.227and 0.006]. There was also significance [0.227and 0.006] between number of lines and occurrence of both kinds of errors[0.000]. The Impact of majors errors on accuracy of underlying cause of death coding has been proved. To solve this problem, physicians must be trained and the structure of death certificate must be edited