[Accuracy of statistical indicators in kashan university of medical sciences hospitals in March 2009-August 2010]

Nowadays, Information conduct health care system and its substantiation depend on available correct data and reliable information. This study was performed to determine the accuracy rate of statistical indicators in Kashan educational hospitals. This was a cross-sectional descriptive study carried out in March2009- August 2010. Data[the items that need for evaluate of each indicator] were gathered with self-designed checklist. The accuracy of items and hospital indicators were compared with items and indicators that researcher had gathered or calculated. Data[frequency and percent] was presented with descriptive statistical method. Findings showed that maximum rate of accuracy was found in gross death percentage[68%], and minimum rate was found for the average bed count[24%]. The accuracy rates of other indicators were: bed occupancy percentage[39%], bed turn over rate[47%], and bed occupancy average[61%]. Net death percentage and bed turn over interval both were[49%]. Totally, the accuracy of hospital indicators were 53% which was in a moderate level. The accuracy of hospital indicators is low. Use of monitoring methods for improvement of its accuracy is recommended

[Adequacy of data on injuries' external causes for coding based on ICD-10 in inpatient medical records and emergency wards of Shahid Beheshti Hospital In Kashan]

Background and Aim: Knowledge about the external causes of accidents is vital for their prevention, and insufficient data on external causes can reduce their usefulness. That is why, the adequacy of the sources of data is of great importance. The aim of this research is to study the adequacy of data regarding the injuries' external causes for coding based on ICD-10 in inpatient medical records and emergency wards of Kashan Shahid Beheshti Hospital

Materials and Methods: This prospective descriptive cross-sectional research was done on 1000 patients in Kashan Shahid Beheshti Hospital in 1386 [2007]. The data needed for coding were chosen from medical records based on ICD-10 rules and for the following groups: transportation accidents, poisoning, burns, lightning, assaults, respiratory threats, intentional self harm, contact with venomous animals, and exposure to animate and inanimate mechanical forces. Then, the data were put in a checklist and analyzed with SPSS and descriptive statistics

Results: The data required for the three main characters of the external causes of injuries were adequate in 740 files [47%]; the figure for the fourth character of the external causes of transportation accidents was found to be 430 [88.7%]. Figures for the place of occurrence and the type of subjects' activities at the time of accidents were found to be sufficient in 109 cases [21.16%] and 50 cases [5%], respectively

Conclusion: Data on the eternal causes of injuries do not have the required adequacy. More evaluations are essential to enhance the adequacy of such data