Browsing by Author "Santric-Milicevic, M. (57211144346)"

Objective: The objective was to analyze possible inequalities by gender in the utilization of health services (general practitioner [GP] and hospital), among people with non-communicable diseases (NCDs) in the Republic of Serbia, with special reference to multimorbidity. In addition, we examined the prevalence patterns of NCDs by sociodemographic characteristics of the population. Study design: This study is a population-based, cross-sectional survey. Methods: A secondary analysis from the 2013 Serbian National Health Survey included 13,765 adults aged ≥20 years. Multivariable logistic and linear regression analyses were performed to assess the association between NCDs and health care utilization. Results: Multimorbidity was present in 30.2% of the total sample. An increased number of NCDs was associated with a higher utilization of both primary (odds ratio [OR] for having any GP visit is 3.17 in males and 3.14 in females; unstandardized coefficient [B] for number of GP visits is 0.33 for both gender) and secondary health care services (OR for having any hospitalization is 2.45 in males and 1.97 in females; B for number of overnight stays in hospital is 1.62 in males and 0.97 in females) in Serbia. Conclusions: Our study provided strong evidence that an increased number of NCDs was significantly associated with a higher utilization of health care services in Serbia. There is a need for wise, decisive, and integrated care interventions for effective management of NCDs and their risk factors. Further research is necessary with special emphasis on the role of the health system in satisfying needs of such patients. © 2017 The Royal Society for Public Health

Background: In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public health care sector, population number, and utilization of inpatient care significantly contribute to total health expenditure. Methods: The dependent variable is the total health expenditure (THE) in Serbia from the years 2003 to 2011. The independent variables are the number of health workers employed in the public health care sector, population number, and inpatient care discharges per 100 population. The statistical analyses include the quadratic interpolation method, natural logarithm and differentiation, and multiple linear regression analyses. The level of significance is set at P<0.05. Results: The regression model captures 90 % of all variations of observed dependent variables (adjusted R square), and the model is significant (P<0.001). Total health expenditure increased by 1.21 standard deviations, with an increase in health workforce growth rate by 1 standard deviation. Furthermore, this rate decreased by 1.12 standard deviations, with an increase in (negative) population growth rate by 1 standard deviation. Finally, the growth rate increased by 0.38 standard deviation, with an increase of the growth rate of inpatient care discharges per 100 population by 1 standard deviation (P<0.001). Conclusions: Study results demonstrate that the government has been making an effort to control strongly health budget growth. Exploring causality relationships between health expenditure and health workforce is important for countries that are trying to consolidate their public health finances and achieve universal health coverage at the same time. © 2016 The Author(s).

Background: In times of austerity, the availability of econometric health knowledge assists policy-makers in understanding and balancing health expenditure with health care plans within fiscal constraints. The objective of this study is to explore whether the health workforce supply of the public health care sector, population number, and utilization of inpatient care significantly contribute to total health expenditure. Methods: The dependent variable is the total health expenditure (THE) in Serbia from the years 2003 to 2011. The independent variables are the number of health workers employed in the public health care sector, population number, and inpatient care discharges per 100 population. The statistical analyses include the quadratic interpolation method, natural logarithm and differentiation, and multiple linear regression analyses. The level of significance is set at P<0.05. Results: The regression model captures 90 % of all variations of observed dependent variables (adjusted R square), and the model is significant (P<0.001). Total health expenditure increased by 1.21 standard deviations, with an increase in health workforce growth rate by 1 standard deviation. Furthermore, this rate decreased by 1.12 standard deviations, with an increase in (negative) population growth rate by 1 standard deviation. Finally, the growth rate increased by 0.38 standard deviation, with an increase of the growth rate of inpatient care discharges per 100 population by 1 standard deviation (P<0.001). Conclusions: Study results demonstrate that the government has been making an effort to control strongly health budget growth. Exploring causality relationships between health expenditure and health workforce is important for countries that are trying to consolidate their public health finances and achieve universal health coverage at the same time. © 2016 The Author(s).