Browsing by Author "Kostadinovic, Milena (57205204516)"

In this study we aimed to explore how managers in primary health care (PHC) organizations assess their managerial knowledge and skills, as well as the importance of these competencies for their job, and to identify whether there is an alignment between these two perceptions; therefore, whether there is a need for management competency improvement. With this study, we tried to address a high demand for information about health managers, especially in health systems in low-and middle-income countries. In a sample of 58 primary health care centers (n = 106 managers) in Serbia, we used a basic managerial competency matrix consisting of the following six competencies—communication, team-building, planning and priority-setting, performance assessment, problem-solving, and leading. Managerial perception of the importance of their job tasks differs by educational level and managerial position. The best alignment between the importance of knowledge and skills was for communication and leading. The study pointed out that managers were aware of the necessity to improve their level of managerial competencies, particularly in the domains of planning and priority-setting, performance assessment, and problem solving. The study highlights the need for formal managerial education for managers in PHC settings and commitment to continuously evaluate and improve management competencies in order to better manage PHC. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

In this study we aimed to explore how managers in primary health care (PHC) organizations assess their managerial knowledge and skills, as well as the importance of these competencies for their job, and to identify whether there is an alignment between these two perceptions; therefore, whether there is a need for management competency improvement. With this study, we tried to address a high demand for information about health managers, especially in health systems in low-and middle-income countries. In a sample of 58 primary health care centers (n = 106 managers) in Serbia, we used a basic managerial competency matrix consisting of the following six competencies—communication, team-building, planning and priority-setting, performance assessment, problem-solving, and leading. Managerial perception of the importance of their job tasks differs by educational level and managerial position. The best alignment between the importance of knowledge and skills was for communication and leading. The study pointed out that managers were aware of the necessity to improve their level of managerial competencies, particularly in the domains of planning and priority-setting, performance assessment, and problem solving. The study highlights the need for formal managerial education for managers in PHC settings and commitment to continuously evaluate and improve management competencies in order to better manage PHC. © 2019 by the authors. Licensee MDPI, Basel, Switzerland.

Idiopathic mediastinal fibrosis, also called sclerosing or fibrosing mediastinitis, is a very rare and aggressive fibroinflammatory process characterized by fibrous tissue proliferation in the mediastinal region. Herein, we present a rare case of idiopathic mediastinal fibrosis presenting with esophageal obstruction, most likely associated with immunoglobulin G (IgG4)-related disease, affecting the posterior mediastinum with intrapulmonary infiltration. Computed tomography revealed a narrowed lumen and thickened wall of the distal esophagus surrounded by a necrotic mass with infiltration into the nearby structures, suggesting a locally advanced malignant process. Positron emission tomography revealed intense accumulation of 18F-fluorodeoxyglucose, indicating an active inflammatory component, which complicates further differential diagnosis of mediastinal masses. Thoracoscopic biopsy and immunohistochemical analysis confirmed a fibroinflammatory process with perivascular lymphoid cell infiltration that was cluster of differentiation (CD)3 (++) and CD20 (++), with massive numbers of IgG4-immunoreactive plasma cells. Although a benign condition, sclerosing mediastinitis is a close mimicker of esophageal carcinoma, which cannot be differentiated by computed tomography or positron emission tomography and must be considered in a differential diagnosis. © The Author(s) 2023.

Idiopathic mediastinal fibrosis, also called sclerosing or fibrosing mediastinitis, is a very rare and aggressive fibroinflammatory process characterized by fibrous tissue proliferation in the mediastinal region. Herein, we present a rare case of idiopathic mediastinal fibrosis presenting with esophageal obstruction, most likely associated with immunoglobulin G (IgG4)-related disease, affecting the posterior mediastinum with intrapulmonary infiltration. Computed tomography revealed a narrowed lumen and thickened wall of the distal esophagus surrounded by a necrotic mass with infiltration into the nearby structures, suggesting a locally advanced malignant process. Positron emission tomography revealed intense accumulation of 18F-fluorodeoxyglucose, indicating an active inflammatory component, which complicates further differential diagnosis of mediastinal masses. Thoracoscopic biopsy and immunohistochemical analysis confirmed a fibroinflammatory process with perivascular lymphoid cell infiltration that was cluster of differentiation (CD)3 (++) and CD20 (++), with massive numbers of IgG4-immunoreactive plasma cells. Although a benign condition, sclerosing mediastinitis is a close mimicker of esophageal carcinoma, which cannot be differentiated by computed tomography or positron emission tomography and must be considered in a differential diagnosis. © The Author(s) 2023.

Background and Objective: Active aging is influenced by various factors, including chronic diseases, multimorbidity, functional limitations, and disabilities. The presence of these factors might lead to greater dependence on caregivers and could present potential barriers to community engagement. Physical functioning might be considered as one of the vital components for healthier aging experience promotion and support in elderly people. This study aimed to assess self-perceived general health and related health characteristics among the elderly population in Serbia, with a focus on varying degrees of functional limitations, as well as to analyze the predictors of physical functioning limitations in relation to gender. Materials and Methods: This population-based modeling study included a representative sample of 3540 elderly individuals aged above 65 years from Serbia. We employed a dual approach to model the four distinct difficulty levels related to the two groups of limitations of physical functioning (PF1 and PF2) for both genders. The PF1 focused on walking half a kilometer on level ground without the assistance of any mobility aids, and the PF2 navigated a set of 12 steps of ascent and descent: Model 1: inability to execute PF1, Model 2: some/a lot of difficulty in PF1, Model 3: inability to execute PF2, and Model 4: some/a lot of difficulty in PF2. Further variables were evaluated: self-perceived general health, long-lasting health problems, and chronic diseases/chronic conditions. Logistic regression analysis was performed to assess predictors of physical functioning. The models’ performance was presented. Results: Significant predictors were as follows: self-perceived general health (Model 1 (male OR: 8.639; female OR: 3.569); Model 2 (male OR: 2.759; female OR: 2.277); Model 3 (male OR: 24.290; female OR: 5.090); Model 4 (male OR: 3.256; female OR: 2.152)); long-lasting general health (Model 1 (female OR: 2.867); Model 3 (female OR: 3.602)); pulmonary diseases (Model 2 (male OR: 2.036); Model 4 (male OR: 1.976; female OR: 1.756)); musculoskeletal diseases (Model 1 (female OR: 1.537); Model 2 (male OR: 1.397; female OR: 1.410); Model 3 (male OR: 1.954; female OR: 1.739); Model 4 (male OR: 1.531; female OR: 1.483)); and other chronic diseases (Model 3 (male OR: 2.215)). Conclusions: Bad self-perceived general health and pulmonary and musculoskeletal diseases were predictors of functional disability in both genders of elderly individuals, while long-lasting health problems were predictors of functional disability in females and other chronic diseases were predictors in elderly males. © 2025 by the authors.

Background: The objective of this study is to determine the morphological computed tomography features of the tumor and texture analysis parameters, which may be a useful diagnostic tool for the preoperative prediction of high-risk gastrointestinal stromal tumors (HR GISTs). Methods: This is a prospective cohort study that was carried out in the period from 2019 to 2022. The study included 79 patients who underwent CT examination, texture analysis, surgical resection of a lesion that was suspicious for GIST as well as pathohistological and immunohistochemical analysis. Results: Textural analysis pointed out min norm (p = 0.032) as a histogram parameter that significantly differed between HR and LR GISTs, while min norm (p = 0.007), skewness (p = 0.035) and kurtosis (p = 0.003) showed significant differences between high-grade and low-grade tumors. Univariate regression analysis identified tumor diameter, margin appearance, growth pattern, lesion shape, structure, mucosal continuity, enlarged peri- and intra-tumoral feeding or draining vessel (EFDV) and max norm as significant predictive factors for HR GISTs. Interrupted mucosa (p < 0.001) and presence of EFDV (p < 0.001) were obtained by multivariate regression analysis as independent predictive factors of high-risk GISTs with an AUC of 0.878 (CI: 0.797–0.959), sensitivity of 94%, specificity of 77% and accuracy of 88%. Conclusion: This result shows that morphological CT features of GIST are of great importance in the prediction of non-invasive preoperative metastatic risk. The incorporation of texture analysis into basic imaging protocols may further improve the preoperative assessment of risk stratification. © 2023 by the authors.

Background: The objective of this study is to determine the morphological computed tomography features of the tumor and texture analysis parameters, which may be a useful diagnostic tool for the preoperative prediction of high-risk gastrointestinal stromal tumors (HR GISTs). Methods: This is a prospective cohort study that was carried out in the period from 2019 to 2022. The study included 79 patients who underwent CT examination, texture analysis, surgical resection of a lesion that was suspicious for GIST as well as pathohistological and immunohistochemical analysis. Results: Textural analysis pointed out min norm (p = 0.032) as a histogram parameter that significantly differed between HR and LR GISTs, while min norm (p = 0.007), skewness (p = 0.035) and kurtosis (p = 0.003) showed significant differences between high-grade and low-grade tumors. Univariate regression analysis identified tumor diameter, margin appearance, growth pattern, lesion shape, structure, mucosal continuity, enlarged peri- and intra-tumoral feeding or draining vessel (EFDV) and max norm as significant predictive factors for HR GISTs. Interrupted mucosa (p < 0.001) and presence of EFDV (p < 0.001) were obtained by multivariate regression analysis as independent predictive factors of high-risk GISTs with an AUC of 0.878 (CI: 0.797–0.959), sensitivity of 94%, specificity of 77% and accuracy of 88%. Conclusion: This result shows that morphological CT features of GIST are of great importance in the prediction of non-invasive preoperative metastatic risk. The incorporation of texture analysis into basic imaging protocols may further improve the preoperative assessment of risk stratification. © 2023 by the authors.

Effective pain management can significantly improve quality of life and outcomes for various types of patients (e.g. elderly, adult, young) and often requires assisted living for a significant number of people worldwide. In order to improve our understanding of patients' response to pain and needs for assisted living we need to develop adequate data processing techniques that would enable us to understand underlying interdependencies. To this purpose in this paper we develop several different algorithms that can predict the need for medically assisted living outcomes using a large database obtained as a part of the national health survey. As a part of the survey the respondents provided detailed information about general health care state, acute and chronic problems as well as personal perception of pain associated with performing two simple talks: walking on the flat surface and walking upstairs. We model the correspondent responses using multinomial random variables and propose structured deep learning models based on maximum likelihood estimation and machine learning for information fusion. For comparison purposes we also implement fully connected deep learning network and use its results as benchmark measurements. We evaluate the performance of the proposed techniques using the national survey data and split them into two parts used for training and testing. Our preliminary results indicate that the proposed models can potentially be useful in forecasting the need for medically assisted living.Clinical relevance - The proposed results can potentially be used to forecast the resources needed to offer long-term medical care to both chronic and acute conditions patients not being able to preform daily tasks independently. © 2020 IEEE.

Effective pain management can significantly improve quality of life and outcomes for various types of patients (e.g. elderly, adult, young) and often requires assisted living for a significant number of people worldwide. In order to improve our understanding of patients' response to pain and needs for assisted living we need to develop adequate data processing techniques that would enable us to understand underlying interdependencies. To this purpose in this paper we develop several different algorithms that can predict the need for medically assisted living outcomes using a large database obtained as a part of the national health survey. As a part of the survey the respondents provided detailed information about general health care state, acute and chronic problems as well as personal perception of pain associated with performing two simple talks: walking on the flat surface and walking upstairs. We model the correspondent responses using multinomial random variables and propose structured deep learning models based on maximum likelihood estimation and machine learning for information fusion. For comparison purposes we also implement fully connected deep learning network and use its results as benchmark measurements. We evaluate the performance of the proposed techniques using the national survey data and split them into two parts used for training and testing. Our preliminary results indicate that the proposed models can potentially be useful in forecasting the need for medically assisted living.Clinical relevance - The proposed results can potentially be used to forecast the resources needed to offer long-term medical care to both chronic and acute conditions patients not being able to preform daily tasks independently. © 2020 IEEE.

Background and aim: During the past few decades, the aging population has increased. With aging, there is an increase in functional limitations. The aim of this study was to analyze sociodemographic factors associated with physical functioning impairment in elderly males and females. Methods: This population-based modeling study based on a data from a third national study of health of Serbian inhabitants from 2013 in Serbia included 3540 elderly participants 65 years of age and above from Serbia. Physical functioning for both genders was categorized as follows: PF1—walking half a kilometer on level ground without the assistance of any mobility aids and PF2—walking up or down 12 steps. Modeling of physical functioning for both genders was categorized as follows: Model 1: inability to perform PF1, Model 2: some/a lot of difficulty in performing PF1, Model 3: inability to perform PF2, and Model 4: some/a lot of difficulty in performing PF2. Further variables were evaluated: age, education level, marital status, body mass index (BMI), wealth index, and place of residence. Logistic regression was performed to identify the variables that are factors associated with PF1 and PF2 in elderly males and females. Results: Statistically significant factors were as follows: age (Model 1 (male OR: 2.591; female OR: 4.708); Model 2 (male OR: 1.791; female OR: 2.354); Model 3 (male OR: 2.386; female OR: 4.985); Model 4 (male OR: 1.883; female OR: 2.772)); BMI (Model 2 (female OR: 1.348); Model 4 (female OR: 1.329)), marital status (Model 2 (female OR: 0.713); Model 4 (male OR: 0.688)); education level (Model 1 (male OR: 0.626; female OR: 0.537); Model 2 (male OR: 0.811; female OR: 0.653); Model 3 (male OR: 0.697; female OR: 0.494); Model 4 (male OR: 0.784; female OR: 0.639)); wealth index (Model 2 (male OR: 0.823; female OR: 0.740); Model 3 (male OR: 0.724); Model 4 (male OR: 0.787; female OR: 0.731)); and place of residence (Model 1 (female OR: 1.704); Model 3 (female OR: 1.575)). Conclusions: Increased age, being single, a lower education level, and a lower wealth index were factors associated with functional disability in the elderly of both genders, while an increased BMI and living in another place than a city were factors associated with functional disability in elderly females. Specific social strategies bearing in mind possible gender differences should be created and implemented in order to optimize the physical functioning, mobility, and participation of the elderly. © 2025 by the authors.

Background and aim: During the past few decades, the aging population has increased. With aging, there is an increase in functional limitations. The aim of this study was to analyze sociodemographic factors associated with physical functioning impairment in elderly males and females. Methods: This population-based modeling study based on a data from a third national study of health of Serbian inhabitants from 2013 in Serbia included 3540 elderly participants 65 years of age and above from Serbia. Physical functioning for both genders was categorized as follows: PF1—walking half a kilometer on level ground without the assistance of any mobility aids and PF2—walking up or down 12 steps. Modeling of physical functioning for both genders was categorized as follows: Model 1: inability to perform PF1, Model 2: some/a lot of difficulty in performing PF1, Model 3: inability to perform PF2, and Model 4: some/a lot of difficulty in performing PF2. Further variables were evaluated: age, education level, marital status, body mass index (BMI), wealth index, and place of residence. Logistic regression was performed to identify the variables that are factors associated with PF1 and PF2 in elderly males and females. Results: Statistically significant factors were as follows: age (Model 1 (male OR: 2.591; female OR: 4.708); Model 2 (male OR: 1.791; female OR: 2.354); Model 3 (male OR: 2.386; female OR: 4.985); Model 4 (male OR: 1.883; female OR: 2.772)); BMI (Model 2 (female OR: 1.348); Model 4 (female OR: 1.329)), marital status (Model 2 (female OR: 0.713); Model 4 (male OR: 0.688)); education level (Model 1 (male OR: 0.626; female OR: 0.537); Model 2 (male OR: 0.811; female OR: 0.653); Model 3 (male OR: 0.697; female OR: 0.494); Model 4 (male OR: 0.784; female OR: 0.639)); wealth index (Model 2 (male OR: 0.823; female OR: 0.740); Model 3 (male OR: 0.724); Model 4 (male OR: 0.787; female OR: 0.731)); and place of residence (Model 1 (female OR: 1.704); Model 3 (female OR: 1.575)). Conclusions: Increased age, being single, a lower education level, and a lower wealth index were factors associated with functional disability in the elderly of both genders, while an increased BMI and living in another place than a city were factors associated with functional disability in elderly females. Specific social strategies bearing in mind possible gender differences should be created and implemented in order to optimize the physical functioning, mobility, and participation of the elderly. © 2025 by the authors.

Background: With the growing increase in the older proportion of the world population, there is also an increase in specific age-related chronic diseases and conditions, including pain. We aimed to evaluate the association of sociodemographic factors with the presence and different degrees of pain intensity in people aged 65 years and older. Methods: The population-based study, conducted in 2013, included 3540 individuals from Serbia. As pain predictors, we analyzed further sociodemographic characteristics: gender, age, body mass index, level of education, marital status, and wealth index. For pain assessment, we used the pain domain of the SF-36 version 2.0 questionnaire. Results: People over the age of 85 years are 27% more likely to have moderate pain than younger respondents; however, pain is less likely reported by men (by 42%), persons with overweight (by 23%) or obesity (by 21%), respondents with secondary (by 50%) or university education (29%), as well as those belonging to the upper household wealth index (by 22%), than by their counterparts. Conclusion: Pain is less likely in people of age below 85 years, male gender, those with higher educational level and higher wealth index, as well as overweight or obese individuals. Also, we have demonstrated that sociodemographic predictors differently correlate with the onset of the pain and its severity degree in persons of 65 years and older. © 2020, Springer-Verlag GmbH Austria, part of Springer Nature.

We aimed to evaluate the prevalence of sociodemographic factors with the presence and different degrees of walking difficulties in elderly above 65 years, and to analyze association between evaluated variables and the presence and degree of waking difficulties. In the population based study, 3540 individuals age above 65 years from Serbia were recruited. Further predictors were analyzed: gender, age, level of education, marital status, body mass index (BMI), index of well-being and place of residence. We assessed difficulty in walking half a km on level ground without the use of any aid (Group-1); and difficulty in walking up or down 12 steps (Group-2). Walking difficulties were categorized as no difficulty, some difficulty, a lot of difficulty and cannot do at all. For present difficulty significant predictors were: age (Group-1 (OR-3.022)/Group-2 (OR-3.825)), gender (Group-1 (OR-0.337)/Group-2 (OR-0.311)), educational level (Group-1 (OR-0.689)/Group-2 (OR-0.556)) and place of residence (Group-2 (OR-1.523)) while for non-performing the task, significant predictors were: age (Group-1 (OR-1.998)/Group-2 (OR-2.096)), gender (Group-1 (OR-0.629)/Group-2 (OR-0.495)), BMI (Group-1 (OR-1.219)/Group-2 (OR-1.305)), marital status (Group-1 (OR 0.764)/Group-2 (OR-0.769)), educational level (Group-1 (OR-0.679)/Group-2 (OR-0.719)) and index of well-being (Group-2 (OR-0.764)). Understanding of predictors, and their role on functional decline in elderly is of great importance for the development of specific population-based health programs to prevent further functional loss and preserve achieved functional gains. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.

We aimed to evaluate the prevalence of sociodemographic factors with the presence and different degrees of walking difficulties in elderly above 65 years, and to analyze association between evaluated variables and the presence and degree of waking difficulties. In the population based study, 3540 individuals age above 65 years from Serbia were recruited. Further predictors were analyzed: gender, age, level of education, marital status, body mass index (BMI), index of well-being and place of residence. We assessed difficulty in walking half a km on level ground without the use of any aid (Group-1); and difficulty in walking up or down 12 steps (Group-2). Walking difficulties were categorized as no difficulty, some difficulty, a lot of difficulty and cannot do at all. For present difficulty significant predictors were: age (Group-1 (OR-3.022)/Group-2 (OR-3.825)), gender (Group-1 (OR-0.337)/Group-2 (OR-0.311)), educational level (Group-1 (OR-0.689)/Group-2 (OR-0.556)) and place of residence (Group-2 (OR-1.523)) while for non-performing the task, significant predictors were: age (Group-1 (OR-1.998)/Group-2 (OR-2.096)), gender (Group-1 (OR-0.629)/Group-2 (OR-0.495)), BMI (Group-1 (OR-1.219)/Group-2 (OR-1.305)), marital status (Group-1 (OR 0.764)/Group-2 (OR-0.769)), educational level (Group-1 (OR-0.679)/Group-2 (OR-0.719)) and index of well-being (Group-2 (OR-0.764)). Understanding of predictors, and their role on functional decline in elderly is of great importance for the development of specific population-based health programs to prevent further functional loss and preserve achieved functional gains. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.