Background: The aim of the research was to compare the differences between the self-assessment of the health in the latest National Health Surveys research and in the one before that. Methods: We used the database of the latest National Health Survey in the Republic of Serbia (2013) and of the one before that (2006), as cross-sectional studies (n=29485). Logistic regression was used to predict the relationship between self-assessment of health and independent predictors. Results: Health condition of the interviewees improved according to their self-assessment. With aging respondents who poorly assessed their health; women assessed their health 1.7 and 1.6 times poorer in the latest research and in the one before that respectively. The odds ratio in patients diagnosed with some disease in the previous 12 months ranged from 2.15 (1.85 – 2.51) to 4.03 (3.22 – 5.05) in the latest research. The strongest predictor was sick leave in the past 12 months with 95% CI = 3.19 (1.87-5.44) in the latest research and 95% CI = 2.27 (1.67-3.08) in the one before that. Conclusion: There was an improvement of the health condition of individuals. Female interviewees, less educated, unemployed, the ones who have some disease and who were on a sick leave rated their health as bad.

Background: Repeated research while using the same methodology can be useful and it can enable relevant conclusions in the same health care system. The aim of our study was to perform comparative analysis of the agreement between admission and discharge diagnostic groups in period 2014-2017 with period 2006-2013 in the Clinical Center of Kragujevac, Serbia. Methods: The 5% simple, random sample was made from the basic set of all hospital reports from Clinical Centre Kragujevac, Serbia, in the period 01.01. 2014 - 31.12. 2017 (n=10228). The first four digits of ICD-10 codes at admission and discharge were compared for agreement. We used discharge diagnosis as a "golden standard". Statistical analysis was performed using Cohen’s Kappa statistic. Results: In the period 2014-2017, agreement between diagnosis among the most ICD10 groups increased in comparison with the period 2006-2013. Disagreements between diagnosis in the period 2014-2017 in comparation with period 2006-2013 was associated with increased length of stay in the hospital (7.5 vs. 9.1 days, P<0.01), patients were younger (54 vs 49.6 yr, P<0.01), number of males declined (26.3% vs 16.2%, P<0.05), kappa value decreased in XV ICD10 group and XI ICD10 group and kappa value increased in XIV ICD10 group. Conclusion: Agreement between admission and discharge diagnosis among the most ICD10 diagnostic groups increased. Introduction of a new web application has increased the quality of data, but interpreting it requires the skill of researchers. Further research should identify modifiable causes of discrepancy between admission and discharge diagnoses.

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